Issue 
A&A
Volume 573, January 2015



Article Number  A48  
Number of page(s)  18  
Section  Extragalactic astronomy  
DOI  https://doi.org/10.1051/00046361/201424502  
Published online  16 December 2014 
Environmental effects on star formation in dwarf galaxies and star clusters^{⋆}
^{1} University College LondonDepartment of Space & Climate Physics, Mullard Space Science Laboratory, Holmbury St. Mary, Dorking Surrey RH5 6NT UK
email: s.pasetto@ucl.ac.uk
^{2} Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka, Japan
^{3} Physics and Astronomy Department, Padua University, Padua, Italy
^{4} Astronomisches RechenInstitut, Zentrum für Astronomie der Universität Heidelberg, Heidelberg, Germany
Received: 30 June 2014
Accepted: 9 September 2014
Context. The role of the environment in the formation of a stellar population is a difficult problem in astrophysics. The reason is that similar properties of a stellar population are found in star systems embedded in different environments or, vice versa, similar environments contain stellar systems with stellar populations having different properties.
Aims. In this paper, we develop a simple analytical criterion to investigate the role of the environment on the onset of star formation. We will consider the main external agents that influence star formation (i.e. ram pressure, tidal interaction, RayleighTaylor and KelvinHelmholtz instabilities) in a spherical galaxy moving through an external environment. The theoretical framework developed here has direct applications to the cases of dwarf galaxies in galaxy clusters and dwarf galaxies orbiting our Milky Way system, as well as any primordial gasrich cluster of stars orbiting within its host galaxy.
Methods. We develop an analytic formalism to solve the fluid dynamics equations in a noninertial reference frame mapped with spherical coordinates. The twofluids instability at the interface between a stellar system and its surrounding hotter and less dense environment is related to the star formation processes through a set of differential equations. The solution presented here is quite general, allowing us to investigate most kinds of orbits allowed in a gravitationally bound system of stars in interaction with a major massive companion.
Results. We present an analytical criterion to elucidate the dependence of star formation in a spherical stellar system (as a dwarf galaxy or a globular cluster) on its surrounding environment useful in theoretical interpretations of numerical results as well as observational applications. We show how spherical coordinates naturally enlighten the interpretation of twofluids instability in a geometry that directly applies to an astrophysical case. This criterion predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. Moreover, we show for the first time the theoretical dependencies of the different instability phenomena acting on a system in a fully analytical way.
Key words: galaxies: star formation / galaxies: dwarf / galaxies: star clusters: general / Local Group
Appendices are available in electronic form at http://www.aanda.org
© ESO, 2014
1. Introduction
The effects of the environment on the evolution of a system are studied in several branches of physics, thermodynamics, statistical mechanics, and also astronomy. One such astronomical system is a galaxy. Galaxies are characterized by their large dimension and hence are dominated in their evolution by the gravitational force. Gravity is a long range force propagating at the speed of light and without a natural scale length. Thus, from a theoretical point of view, every system close enough to a reference point (inside the cosmological horizon) is never fully isolated and represents a system in interaction with its environment. Examples of gravitational interactions available to date are the globular clusters inside the Milky Way (MW) (e.g. Gnedin & Ostriker 1997; Odenkirchen et al. 2001; Jordi & Grebel 2010), the dwarf galaxies interacting around our MW (e.g. Cioni et al. 2008; Nidever et al. 2010; Sand et al. 2012) and around the MW neighbour Andromeda (e.g. Zucker et al. 2004; Ibata et al. 2001; Martin et al. 2006; Choi et al. 2002), and the closest groups of galaxies (e.g. Yun et al. 1994; Makarova et al. 2002; Crnojević et al. 2012).
A simple gravitational description of a galaxy would result in serious defect if it does not account for an appropriate description of its buildings blocks: the stars. The process of star formation is tightly connected with the gravitational evolution of a galaxy system. The interplay between star formation and gravitational evolution of a system has been extensively investigated in astronomy in the last century within the context of the Jeans instability (Jeans 1902) passing through all its generalizations (as most recently in Jog 2013) or star formation laws (e.g. Schmidt 1959). Star formation regions are investigated both observationally (e.g. Wisnioski et al. 2012) and with numerical experiments (e.g. Fernández et al. 2012; Tonnesen & Bryan 2012).
In a recent paper, Pasetto et al. (2012) hereafter Paper I, the authors presented a technique to couple gravitational effects and star formation processes. The investigation of the role of external effects on star formation being the primary focus of that study, the authors developed a relation to express the pressure exerted by external phenomena on a primary system. In this way they were able to account for the roles of the external agents (e.g. an external hot gas, an external gravitational force, etc.) on the system under examination. The standard Jeans instability criterion for stellar formation was substituted by a description ruled by a partial differential system of equations (PDEs) allowing them then to handle the molecular mass spectrum, as well as to obtain high mass resolution (Fujita 1998; Fujita & Nagashima 1999). In Paper I, it was shown that it is possible to study the linear response of a gravitationally bound group of stars (e.g. a dwarf galaxy) in this way, and to capture the essence of what is observed in a dwarf galaxy like Carina during its interaction with the MW.
In this present work, we take our theoretical investigation further. We account for the interaction between gravity and star formation by developing a new criterion of instability for the growth of the perturbation in an unstable fluid (molecular gas) where the star formation begins. This work is based on the seminal work by Plesset (1954), generalized to account for the noninertial nature of the reference frame with the formalism presented in Paper I. We focus on the contrast between two gaseous systems of different density and temperature, such as the case of a gasrich galaxy moving within a hot intracluster medium. In Plesset’s work (but see also Birkhoff et al. 1958) the instability growth was followed in spherical coordinates for an expanding bubble. The instability condition was worked out and then extended in the following years to a Lagrangian description (e.g. Ceschia & Nabergoj 1978) to account for the viscosity of the medium (e.g. Prosperetti & Seminara 1978) and for a stratified medium (e.g. Mikaelian 1990), etc. This theory is useful in various applications: in plasma physics, accelerated streams, RichtmyerMeshkov instability, etc.
In our case, we generalize Plesset’s technique to a noninertial reference frame using the pressure equation derived in Paper I. We then apply the resulting equation to the case of the instability of two systems with a high density difference, as is the case for the hot intergalactic medium in a cluster of galaxies and the cold molecular clouds where stars form. The contents of the paper follow. In Sect. 2 the linear response theory is just introduced, and then formally developed in Appendix A. In Sect. 3, the resulting instability parameter is presented and explained. In Sect. 4, a few examples are illustrated. In Sect. 5, we summarize the results of the paper. Appendix A contains the full development of the theory representing the core of the paper: in Appendix A.1 the kinematic boundary conditions between two fluids in relative motion are the computation of the potential flow for internal (Appendix A.1.2) and external (Appendix A.1.3) gas. The dynamical boundary conditions are then evaluated in Appendix A.2.1 for the internal gas pressure equation, and in Appendix A.2.2 for the external pressure equation. The equation for the surface of equilibrium is presented in Appendix A.2.3. Finally, the condition for instability is obtained in Appendix A.3. In Appendix B a few auxiliary functions defined in the text are analysed.
2. Orbiting systems
The picture we are going to introduce is quite general, and suits several applications. Nevertheless, it is convenient to focus on a simple example. We consider two extended bodies consisting of a first system larger in mass and size, described by a density profile (or relative potential) and a secondary system smaller in mass, such as a dwarf galaxy orbiting a major companion (e.g. MW dwarf galaxies or a spherical galaxy in a cluster of galaxies). We start considering a galaxy at rest or in a rectilinear motion, i.e. a single system not perturbed by external agents. We consider it to be well represented in the configuration space by a spherical geometry. Hence, despite its clumpy nature, we assume that the molecular gas, the site of the star formation, is well represented by a spherical distribution (in the literature the assumption of spherical geometry is extensively adopted from stellar clusters to clusters of galaxies). If we now consider this galaxy in interaction with external agents (tidal interaction with a perturbing system, ram pressure from external gas, etc.) its initial state of equilibrium in the velocity as well as in configuration space is perturbed (see Fig. 1).
In the following, we are interested in quantifying the external effects acting on this galaxy gas distribution and on the star formation processes. The same treatment for the density profile perturbation of stars or dark matter can be achieved with the formalism developed in Colpi et al. (1999) or Nelson & Tremaine (1999) where star formation processes are nevertheless ignored. Here, we are going to neglect the internal mass distribution profile of the orbiting galaxy (or stellar cluster) by simply constructing the system with two parameters: mass M and scale radius r_{s}. The internal gas component resulting mass distribution is for example given by and its gravitational radius by , even though any spherical couple potentialdensity can be considered (see Appendix A). The external major system description can be as complex as we like.
Fig. 1 l = 2 perturbation mode of a spherical harmonics (central) over the unperturbed axisymmetric system (left). We exclude perturbation modes other than l = 2 because, although every perturbed 3D surface can be realized by a superposition of spherical harmonics modes, no common evidence exists for the type of symmetries as presented on the right (e.g. l = 3 mode). The dashedgreen line provides an example of a star cluster orbit. Note that the tidal tails (yellow zone bordered by the black contours) do not necessarily lie along the orbits, i.e., O(t) ≠ 1 in the formalism of this paper, see, e.g. Pasetto et al. (2010, their Fig. 7) or Dehnen et al. (2004), Capuzzo Dolcetta et al. (2005) for globular cluster cases. 

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2.1. Preliminaries: internal processes and instabilities
We start with a description of the surface of the galaxy in its motion throughout an intracluster medium (MW hot corona, galaxy cluster intergalactic medium, etc.). We suppose that the galaxy, whose dimension we denote with r_{s} (where r_{s} can be thought to be the effective radius, the tidal radius, or any scale radius chosen for a particular purpose), is perturbed from its equilibrium as mentioned above. Then, the distribution of the molecular clouds in the interstellar medium (ISM) of the galaxy, which we identify with the reservoir of gas for stellar formation, can be identified with a density distribution ρ = ρ(ξ) bordered by a surface Σ in a system of reference (SoR) comoving with the galaxy whose barycentric is in O′ and axis vectors that we call for i = 1,2,3 (for a more formal definition, see Appendix A). This distribution is then perturbed to a new state, corresponding to a new perturbed surface density. Since we are only interested in investigating the instabilities ablating or compressing the gas from the stellar system, we will limit ourselves to a linear analysis. We will assume the defining equation for the surface Σ(ξ,θ,φ;t) = 0 (where spherical coordinates have been employed introduced in S_{1}) to reduce to (1)because Σ(ξ) is defined by the value of the norm of the position vector where r_{s} = ∥ r_{s} ∥, η ≪ r_{s} is a real function (we omit its dependence on l and m ) and for are the spherical harmonics with symmetry for , and with μ = cosθ the Legendre functions (e.g. Lebedev et al. 1965). We are interested in the instability problem so we can omit the sum sign in Eq. (1)(e.g. Chandrasekhar 1961, Chap. 1) and later on we will focus on the l = 2 perturbative mode. Nevertheless, to recover the correct literature flatgeometry limit we will keep l unspecified for now (see Sect. 4, and Fig. 1).
In Paper I, the authors established a framework to predict how a few selected instabilities (ram pressure, gas instabilities, and tidal interactions) affect star formation. The key result of that work was a technique able to handle interacting systems in semianalytical fashion. The authors obtained a pressure equation solution of the NavierStokes equations in a frame comoving with an orbiting stellar system. In this way, they were able to study the instabilities and the star formation through a pressure formulation within the scale radius of a system, r_{s}, and for a specific direction relative to the motion, reduced to classical results of dimensionless galaxies (e.g. Gunn & Gott 1972) as particular cases. Indeed, once an equation for the pressure p was derived in a noninertial reference frame, the star formation efficiency and lifetime of of the mass spectrum of molecular clouds was computed by following literature recipes (e.g. Elmegreen & Efremov 1997). Here defines the mass resolution with which the system of PDEs governing the evolution of the molecular clouds is integrated: (2)where with M_{tot} being the total mass of the clouds, is the stepfunction (e.g. Abramowitz & Stegun 1972), is the gas ejection rate from the stars. This gas ejection rate depends on the fraction of stars (of mass m born at time ) returned to the ISM with return mass function r(m) normalized , on the stellar initial mass function ι(m), and on the star formation itself. The is the recycling rate of the molecular gas. Once this system is considered, an instability may give rise to star formation if (and only if) gas is effectively present, i.e., , and suitable criteria dependent on the physics and geometry involved are met. In this case, the resulting star formation is (3)The star formation history can then be recovered once longlife, m< 2.3 M_{⊙}, and shortlife (m_{low} = 0.08 M_{⊙} and m_{up} = 100 M_{⊙}) stellar feedback to the ISM is considered, following the recipe in Fujita (1998) and accounting for a twophase ISM model (Field’s instability) where a delay due to the HI phase is considered for the gas ejected by stars and evaporated by young stars before it finally becomes molecular gas. Of course, this approach relies heavily on the stellar model adopted and on the timescales of gas transitions. We followed the recipes depicted in Fujita & Nagashima (1999) combined with the stellar models of Bertelli et al. (2009, 1995). Different stellar models and ISM recipes can produce different timescales for the remnants and as a consequence we consider our results as indicative only.
In this context, the role of the instabilities was left to a description developed locally in a plane geometry approximation. The criteria adopted there were the standard literature instability conditions (e.g. Chandrasekhar 1961). In particular, within the Paper I framework, the pressure on the molecular cloud of a dwarf galaxy was considered as a piston acting on a locally defined position of the dwarf, specified by the angle θ and radius r_{s}, and there (i.e., determined locally for each point) the criterion for the growth of the instability was derived in the context of the planegeometry. The classical linear growth rate, γ, for the RayleighTaylor (RT) and KelvinHelmholtz (KH) instabilities in a plane geometry can be derived by combining standard literature results (e.g. Chandrasekhar 1961) as (4)Here ρ_{out} refers to the hot intergalactic medium external (outside) of the galaxy (e.g. hot intracluster gas, MW hot coronal gas, etc.), ρ_{in} refers to the colder molecular cloud gas of the galaxy that will give rise (when unstable) to star formation processes, k is the wave number of the instability, and g the gravity acting on the system at the distance impacting the external pressure, for unitary mass and mass M at the distance r_{s}. If the fluid inside and outside an ideal surface of separation moves with relative velocity v_{rel} ≡ v_{out} − v_{in} ≠ 0, then Eq. (4)simultaneously accounts for the instability modes of sliding and pressing fluids, i.e., the KH or RT instabilities already considered in Paper I.
In this work, we will show how the description of the Paper I is simplified considerably in respect to the physical interpretation of the phenomena involved once the same instability growth criteria are followed directly in a spherical geometry. In order to achieve such a description, a few preliminary steps have to be performed to find a treatable reference frame for the equations involved. We start introducing the reference frame in the following section, a fundamental step to set the scene for the theory development and to understand our results.
2.2. Geometrical framework for potential flow approximation
The framework follows closely that already introduced in Pasetto & Chiosi (2009). We consider the inertial reference frame attached to the more massive galaxy, S_{0}, and we call S_{1} the reference system comoving with the smaller body. In general, the axes of these two reference frames can be translated to match the same origin and overlapped by a rotation matrix O ∈ SO(3) with det = + 1. Generally, if the smaller object is orbiting on its geodesic motion around the major object and S_{1} is attached to it, this rotation matrix will be time dependent O = O(t). This twoextendedbody system will be considered in isolation. The reader can visualize the abstract description of this paper if focusing on the image of a small stellar system, e.g. a dwarf galaxy or a globular cluster, centred in the origin of the system of reference S_{1}, and orbiting in the external potential of a cluster of galaxies or in the halo of the galaxies respectively. As in Paper I, we will make use of the concept of the velocity potential. We assume the inter/intragalactic medium to be irrotational (e.g. Landau & Lifshitz 1959, Chap. 1) ∇ × v_{0} = 0 with v_{0} being the fluid velocity in S_{0}. Hence, there exists a scalar function ϕ_{v0}, the velocity potential, whose gradient is the fluid velocity, i.e., ∃ϕ_{v0}  v_{0} = ∇_{x}ϕ_{v0}. The ϕ_{v0} is used in the NavierStokes equations to investigate the fluid dynamics of the two gas components: the belonging to S_{1}’s galaxy and the component external to it. As in Paper I, we will make use of the concept of the velocity potential. We assume the inter/intragalactic medium to be irrotational (e.g. Landau & Lifshitz 1959, Chap. 1) ∇ × v_{0} = 0 with v_{0} being the fluid velocity in S_{0}. Hence, there exists a scalar function ϕ_{v0}, the velocity potential, whose gradient is the fluid velocity i.e. ∃ϕ_{v0}  v_{0} = ∇_{x}ϕ_{v0}. The ϕ_{v0} is used in the NavierStokes equations to investigate the fluid dynamics of the two gas components: the component belonging to S_{1}’s galaxy and the component external to it. However, as claimed in the introduction to this section, we are interested in providing a solution to the NavierStokes equation for the mentioned instabilities in a noninertial reference frame. For this purpose, we have to picture the potential flow description of the NavierStokes equations solution in S_{1}.
Fig. 2 Geometrical framework as seen by an observatory comoving with S_{1}. The position vector ξ, the position vector of S_{0}, x(t) and the position of S_{1} in S_{1}, x_{O′}(t), are shown in green. Here the system attached to the reference frame S_{1} has been zoomed to show the quantities defined in the text better, but it is supposed to be the smaller in mass and dimension and is orbiting around an inertial major system attached to S_{0}. The blue shadow represents the generic external environment attached to S_{0}system in which the S_{1}system is embedded. The position vector of S_{0}, once at the surface of the galaxy, Σ, take the scale radius value ∥ ξ ∥ _{Σ} = r_{s} (doted red orange circle). The scale radius is generally a function of time r_{s} = r_{s}(t) and it varies as a consequence of the gravitational external field that the galaxy experiences along its orbit around the major galaxy centred in S_{0}. In the noninertial reference frame, S_{1} the velocity v = v(t) (red arrow aligned with ) of the fluid impacting the galaxy (i.e. the negative of the velocity of the stellar system in S_{0}) forms an angle θ with the position vector ξ, (with notation for the smaller angle between two, threedimensional vectors). The acceleration (violet arrow) inclusive of the apparent effect forced due to the noninertial character of S_{1} forms an angle with the position vector. An observer comoving with S_{1} sees the inertial reference frame S_{0} changing position at different times t − Δt,t or t + Δt as well as the rotation of S_{0} axes. 

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The geometry of the problem is as shown in Fig. 2, where ξ is the arbitrary but fixed position vector in the SoR S_{1} introduced above: centred O′, with unitary vectors i = 1,2,3; x = x(t) the position vector in centred in O whose orbit as seen by an observer in O′ is O = O(t); where x_{O′} = x_{O′}(t) the position of the S_{1} origin in S_{0}. The external velocity potential fluid was introduced in Paper I: the potential flow past a spheroidal dwarf galaxy is approximated by a classical literature result, , which gives the potential flow in S_{1} when added to a translational potential flow that “brings the galaxy to rest”. We define , thanks to the scalar character of the velocity potential (we recall that v^{∞} is the velocity of the fluid at infinity, v the velocity of the S_{1} system, and v = ∥ v ∥ the speed obtained with standard Euclidean norm ∥∗∥, ⟨ ∗ , ∗ ⟩ the standard inner product between two vectors).
The description of the motion in S_{1} instead of S_{0} has some advantages in the mathematical treatment of the fluid dynamics equations. This is not a new approach to the NavierStokes equation and represents a standard literature procedure when dealing with twofluid problems (e.g. Batchelor 2000; Landau & Lifshitz 1959). In this way it is possible to simplify the description of the twofluid interaction to a common reference frame: it is simple to prove that if the fluid is irrotational in a given reference frame it is not in another, as the vorticity, say ζ, a concept relative to the reference frame as the velocity (ζ_{0} = ζ_{1} + 2Ω, with Ω relative rotational velocity of S_{1} and S_{0} where the vorticity is called ζ_{1} and ζ_{0}, respectively). The description of the motion in a noninertial reference frame simplifies this approach. We also follow standard literature results in formulating the potential flow in relation to the velocity of the stellar system v instead of the velocity of the impacting flow v^{∞}, which simplifies the physical interpretation of our results. Finally, with (e.g. Batchelor 2000), we describe the potential flow of the gas internal to the galaxy alone. Moreover, we add this potential to the description of the external flow impacting the galaxy’s internal molecular cloud gas when necessary (for example, to describe the hot MW coronal gas).
The description presented so far was initially introduced in Paper I. However this first work has some limitations that do not permit the best understanding of the involved physics. Despite its success in reproducing the star formation history of the Carina dwarf galaxy presented in Paper I, the formalism developed there did not properly account for the deformation of the dwarf galaxy because of tidal interaction, and hence for the star formation instability presented in a real system. In any physical case, we expect the system to suffer a geometric compression in a direction roughly orthogonal to the orbit and an elongation along the orbits where the tidal tails lie (e.g. Pasetto et al. 2003, 2011). In contrast, we expect that elongation to be tilted by about , with respect to the orbital direction proximate to the pericentre passages (e.g. Klimentowski et al. 2009). In both the extreme cases, we want to be able to follow the impact of the pressure on a galaxy foliated by homoeoidal surfaces tilted with an arbitrary rotation matrix O introduced above (see Fig. 1).
In order to achieve such a generalization and to investigate simultaneously the role of the star formation instability, in Appendix A we will develop a twofluids instability analysis in spherical geometry for a noninertial reference frame under the influence of a nonuniform external gravitational field. The development of the theory proceeds, as in the plane geometrical case of Paper I, with two additional difficulties:

the presence of apparent forces owing to the noninertial nature ofthe geometrical frame we used and

the deformation from spherical to oblatespheroidal to address the limitation of the simple spherical geometry in the description of the tidal interaction of a system with an external gravitational field.
The linear response theory is described separately in Appendix A to give space here to the results and applications. Our key results, take the form of an instability criterion that can be evaluated once a small parameter space is considered for the stellar system and its environment. The result is inspired by the standard quantummechanics WenntzelKramersBrillouin (WKB) approximation for the solution of evolution equations with slowly varying coefficients, but limited to the analysis of the condition on the positivity of the growth factor γ^{2}(θ) > 0 of the perturbation of a stellar system in motion. The result is obtained in Eq. (A.30)of Appendix A. By properly collecting the terms and the trigonometric functions, this can be written as (5)where we introduce the generalized Atwood number^{1}: (6)Here θ is angle between the position vector ξ and the stellar system velocity vector in S_{0}. In the formula, a_{O′} and v_{rel} are the relative acceleration and velocity of S_{1} in S_{0}, r_{s}(t) is the selected scale radius of the system (with its velocity and acceleration ), and finally ρ_{in} and ρ_{out} are the gas density inside (HI, molecular) or outside (hot ISM) of the system being examined. The special functions F_{1} and F_{2} are auxiliary functions defined in Appendix B. The spherical harmonic azimuthal modes l (with l_{+} ≡ l + 1, l_{++} ≡ l + 2, etc.) are used to account for the departure of the tidal deformation of the stellar system from its starting spherical shape (see Fig. 1). Finally, because of the short lifetime of the molecular clouds compared with the orbital time of the stellar systems considered, we can safely assume ρ_{out} and ρ_{in}, and ultimately the Atwood number, to be in local thermodynamic equilibrium. This will result in a further simplification of our equations described in the following sections.
3. Results
To interpret the role of the stability phenomena in the evolution of a stellar system centred on S_{1} orbiting a major companion centred on S_{0}, it is convenient to make a few minor changes to Eq. (5). We split the velocity components of the external fluid into a parallel and a perpendicular component to the position vector in S_{1}. The same is done for the acceleration: we will proceed to define and with ϑ instead of θ. Moreover, while in Sect. A.2 the algebra is laid out with the generic l to prove that we are able to recover the plane limit in Sect. A.3.1, here only the l = 2 perturbation case is of interest. With Eq. (6)for l = 2, we can rewrite the growth factor as: (7)with (8)where we additionally defined the special function and . This is the fundamental result of this paper, and it gives us the interpretation key of the stability phenomena globally acting on a spherical stellar system. To the first order the growth of the instabilities is the sum of different contributions, (9)which we identify line by line:

1.
The terms in the first line of Eq. (7)(10)which is the standard literature result for an inertial reference frame. These terms do not depend on the subject of our study: for example, they are in common with previous studies on the growth of bubbles in an inertial reference frame or supernova explosions. Here, we limit ourselves to the l = 2 mode of disturbance because of the physical system under consideration. This mode contributes positively to the instability every time , and when assuming 3ρ_{in} − 2ρ_{out}> 0 in the case of galaxies or stellar clusters moving through a hot medium. The positivity of this term depends for example on the expansion/contraction of the tidal radius of the stellar system. Equation (7), if solved together with the corresponding Eq. (A.24)of the equilibrium surface, will eventually lead to the complete eigenvalues of the system that can be directly compared with numerical simulation.

2.
The terms in the next line of Eq. (7)(11)proportional to . We will call these terms “pure”RT terms. They influence the instability owing to the pressure along the radial extension of the star cluster. They show how the instability dependence on the RT effect is quadratic on the velocity of the fluid impacting the galaxy, i.e. quadratic on the velocity of the stellar system itself. It is especially interesting to observe how the term is always present: even if ṙ_{s} = 0, for example in the case of a galaxy that has reached its equilibrium by violent relaxation, the instability grows with quadratic dependence on the orbital velocity. As expected, this term is maximum at the stagnation point, and it decreases slowly away from the direction of motion, becoming formally zero at .

3.
The term (12)proportional to . We will refer to this term as the “pure”KH term. This is influenced by the sliding of the relative velocity between the dwarf galaxy ISM and the intercluster medium through which the stellar system is moving. As in the RT case, is quadratic with the velocity of motion of the stellar system and does not depend on the radial expansion or contraction of the galaxy. Further insight in the understanding of this term will be gained in the next section where the astrophysical case of interest ρ_{in} ≫ ρ_{out} will be developed.

4.
The term (13)This is a mixedcontribution term. It always exists except for the special case of the stagnation point or the tangential point where it disappears, either or being null, respectively. This term is quadratic in the velocities, and it shows how the coexistence of KH and RT instabilities is always present once the galaxy is in motion along its geodesic. Its contribution to the instability depends on the sign of , being negative for small angles, contributing positively to the growth of the instability near the stagnation point, and positive for thus having a stabilizing factor against the pureKH term introduced before (See Fig. A.1 in Appendix A).

5.
The term (14)proportional to the acceleration component in the direction indicated by the position vector. This term is a completely new result of our theory (it cancels out at the plane geometry limit). This term has a different nature from the terms originally described in the works of Kelvin, Helmholtz, Rayleigh, and Taylor: this term is an apparent force due to the noninertial nature of the reference system we adopted. It shows a linear dependence on the acceleration to contribute orthogonally to the surface of the galaxy, i.e. only along its radial direction. Hence, to the first order, this term contributes (with a positive or negative force, stabilizing or promoting instability) only to the RT instability, not to the KH instability. Clearly this term has a different contribution to the instability depending on the actual orbit and on the angle ϑ.
Curiously, our results indicate no direct contribution of the tangential component of the acceleration to the overall instability , i.e. we discovered that no apparent force acts on the KH type of instability to the first order. This component nevertheless has to be present at second order, as evident in the equilibrium equation derived in Appendix A Eq. (A.24)to the leading order, or in the growth factor Eq. (7)when analysed to the second order. We mention that in the more complicated work by Shaw (2006) a similar analysis to ours is carried out to higher order but for a nontranslational system of reference. Even besides the technical difficulties in carrying out such an analysis in our noninertial case, this is not of interest in our case: in Paper I we showed that the lifetime of the molecular clouds subject to external pressure is below 300 Myr for the Local Group (LG) case. Hence, within these timescales, higher order terms or resonances do not have time to play a role. A general treatment of the force acting on the generic point of an element in S_{1} was given by Eq. (6) of Pasetto & Chiosi (2009) that in tidal approximation reads . Equation (5)holds only in the case of the short lifetime of the dwarf galaxy’s molecular clouds we are considering (see Fig. 1 in Pasetto et al. 2012).
4. Application and examples
In what follows, we develop some analytical, numerical and theoretical examples and exercises to show the potential of the criterion developed above.
4.1. Instability for the case ρ_{out} ≪ ρ_{in}
To gain better insight into the physical conditions for the positivity of the growth factor, we consider the special case where the hot intergalactic medium, here ρ_{out}, is much more diffuse than the cold molecular clouds density distribution, ρ_{in}, which we are considering as the star formation site. In this case, a lighter fluid is pressing on a heavier fluid/gas described in the noninertial reference frame S_{1}. This is a practical case of interest in astrophysics. Because the density difference between the hot intergalactic medium and molecular clouds is assumed to be extremely high, ρ_{in} ≫ ρ_{out} and we can expand the previous Eq. (7)to get to the first order in the small parameter : (15)whose positivity, for example at the stagnation point is simply: (16)which shows a competition between the relative acceleration of the two reference frames S_{1} and S_{0}, the gravity of the systems , the velocity terms and the contraction velocity . At the limit of ε → 0 there are no hydrodynamical effects and the gas instability will be purely gravitational. We get: (17)satisfied in the zones of the galaxy where , i.e. where the component of the external acceleration compresses the gas. This is indeed a wellknown literature result on the purely gravitational compressive effect of a tidal field acting on a galaxy, which we recover with our stability criteria. The dissipative phenomena in the pure dynamical case are still a matter of debate (e.g. Efroimsky & Makarov 2014; Jog 2013) which we avoid here. We simply limit ourself to observe that with the total potential acting at the point of interest on Σ as (18)so that (19)to which we want to add the stellar cluster mass distribution at the same position . This proof, follows strictly the derivation of Eqs. (9) and (10) of Paper I and holds only for small systems orbiting major companions.
Fig. 3 Pictorial representation of smallangle interpretation. Formally our request for a small perturbation η ≪ r_{s} should induce a smallangles interpretation of our results. Nevertheless, we see graphically the reason why we should expect our approximation to hold even if η is not small. As evident in this figure, around the point A, we see the orthogonal direction to the equilibrium surface (dotted yellow) and to the perturbed surface (dotted orange) remains approximatively collinear. In contrast, for larger angles (see point B in figure) the approximation is not as good (and the functions F_{1}, F_{2} present a divergence, see Appendix A). We recover fully the validity of our approximation to the orthogonal case . Note how this divergence can be cured with higher order expansions in η. 

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4.2. Small angles θ ≅ 0
We are obviously interested in small angles approximation. This is because in the spherical geometry that we have developed, the stagnation point lies where the pressure is higher, i.e. it is the first point impacting on the external intragalaxy medium. In contrast in a different geometry this is not necessarily true. If we assume a spiral galaxy penetrating a cluster of galaxies with a hot intracluster medium in a direction orthogonal to the disk plane, the first instability to be seen is the stripping from the border of the disk because of the weaker galaxy potential at the edges of the disk (e.g. Roediger & Hensler 2008, 2005). The instability criterion of Eq. (7)reduces to (20)where we made use of the asymptotic behaviour of the special functions F_{1} and F_{2} (see Appendix B). This result proves that to the linearorder is independent of the direction. This is an important theoretical result (not expected a priori) that indicates how our instability parameter is weakly dependent on the particular geometry developed (the curvature), and it has probably a wider range of applicability than what is formally mathematically permitted.
The importance of this result can be grasped by examining Fig. 3. If we assume that θ ≃ 0 is small (see point A on Fig. 3) then the difference between the orthogonal (and tangential) vectors to the unperturbed and perturbed surfaces is always small even if η ~ r_{s}, i.e. even if η ≪ r_{s} does not hold strictly (e.g. along the direction of the tidal tails of an orbiting dwarf galaxy with a highly radial orbit). Similarly, for the point B, i.e., far away from θ = 0 or , we expect the theory not to hold properly (as indeed the divergence of the special functions F_{1} and F_{2} indicates). To grasp the importance of this result it is worth examining Fig. 3. If we assume that θ ≃ 0 is small (see point A on Fig. 3) then the difference between the orthogonal (and tangential) vectors to the unperturbed and perturbed surfaces is always small even if η ~ r_{s}, i.e. even if η ≪ r_{s} does not hold strictly (e.g. along the direction of the tidal tails of an orbiting dwarf galaxy with a highly radial orbit). In contrast, for point B, i.e. far away from θ = 0 or we expect the theory not to hold properly (as indeed the divergence of the special functions F_{1} and F_{2} indicates). A strong angular dependence at the stagnation point to the first order (e.g. θ^{2},θ^{3},θ^{4}...) would inevitably limit our results to the very specific spherical system (even though every stellar system with a sufficiently smooth density distribution can be approximated with an osculating sphere).
The ’s independence in the first order in θ is an encouraging result on the potential of the criterion we have developed. Finally, note that the angle ϑ, differently from θ, is not necessarily small, but depends on the configuration space of the external cluster of galaxies or stellar distribution acting on the system under examination.
4.3. Application to observations
Although the investigation of a particular catalogue of galaxies, galaxy clusters, or globular cluster is beyond the goal of the present paper, the criterion in Eq. (7)can hint at the activity of the star formation directly by observational measures. Depending on the precision of the data available and on the system under study, the simplest approach to the criterion (from an observational point of view) is as follows. The mass spectrum of the molecular clouds, where stars are born, is reasonably well known (Paper I). For external hot intergalactic medium, the Xray emitting hot intracluster gas distribution is known to be well represented by βmodels (Cavaliere & FuscoFemiano 1976). Consider a galaxy with an effective radius r_{s} = r_{eff}, starting to free fall in equilibrium ṙ_{s} = ṙ_{eff} = 0 from the outskirts of a galaxy cluster parametrized by a potentialdensity couple ΔΦ_{cl} = 4πGρ_{cl}. The galaxy will experience tidal stretching (or compression) by the tidal field along (or orthogonally) to the free fall direction (with velocity ). Hence, it will be stable or unstable to star formation simply if the total mass M_{gal} of the galaxy is enough to shield the galaxy from the external field or not (where T  _{cl} is evaluated through the radial direction to the galaxy cluster centre, a ≃ a_{O′} + O^{T}TOξ + ... ). The only observational datum required to be obtained is the tidal distribution of the gravitational system and this can easily be computed as (21)where x_{gal} is the location of the galaxy under examination within the catalogue describing the cluster of galaxies located at x_{i}, and δ_{ij} is the bidimensional Dirac delta function. An example of this type of computation from observational data is shown in Pasetto & Chiosi (2009) (for a different geometry than in Sect. 2). In this way, all the parameters necessary to exploit the instability criterion (e.g. in the form of Eq. (16)) are entirely obtained from a catalogue.
4.4. Numerical example on dwarf galaxies of the Local Group (LG)
In Paper I a local description of the instability processes was assumed, using a pressure equation (there Eq. (10)) that recovers standard literature results (e.g. Gunn & Gott 1972) if considered in dimensionless systems (i.e., for r_{s} → 0 we obtained the ram pressure equation of Gunn & Gott 1972). This pressure equation was applied locally to a molecular cloud spectrum of masses M ∈ [10^{2},10^{6}] M_{⊙} (Elmegreen & Efremov 1997). In this way, each different molecular cloud class was accounted for differently for its instability (in the linear regime), reacting differently depending on the particular mass. The result was then integrated to obtain the overall mass consumed, transformed into stars, or transferred back to the intergalactic medium following the recipe of Fujita & Nagashima (1999). The compatibility of the result was confirmed against a numerical integration of the evolution of an extensively studied LG dwarf galaxy (Carina) (Pasetto et al. 2011). In Paper I, a local description of the instability processes was assumed, using a pressure equation (Eq. (10), Paper I) that recovers standard literature results (e.g. Gunn & Gott 1972) if considered in dimensionless systems (i.e. for r_{s} → 0, we obtained the ram pressure equation of Gunn & Gott 1972). This pressure equation was applied locally to a molecular cloud spectrum of masses M ∈ [10^{2},10^{6}] M_{⊙} (Elmegreen & Efremov 1997). In this way, we took each molecular cloud mass into account for its instability, reacting differently depending on the particular mass. The result was then integrated to obtain the overall mass consumed, transformed into stars, or transferred back to the intergalactic medium following the recipe of Fujita & Nagashima (1999). The compatibility of the result was confirmed against a numerical integration of the evolution of an extensively studied LG dwarf galaxy (Carina) (Pasetto et al. 2011).
Fig. 4 (Left panel) Orbit of a dwarf galaxy with eccentricity e = 0.25 and starting position { x,y,z } = { 0,200,0 } kpc computed on a MW tuned external potential (pictorial background photo). (Right panel) Star formation history of the dwarf galaxy of the left panel accounting for internal and external effects as modelled in Paper I. 

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With the criterion of instability derived above in Eq. (5), we can now more precisely investigate the role of the different orbital parameters involved in the instability process. For example, we assume a dwarf galaxy orbiting in the plane of the MW potential, starting at 200 kpc from the centre of S_{0} (centred on the MW) on an orbit with eccentricity e = 0.25. The orbit and star formation (for an initially metal poor galaxy) is as in Fig. 4 where in the left panel the orbit computed for the MW galaxy model of Paper I is illustrated. The legend explains the colourcoding of the orbits as a function of time (Gyr). The same colourcode is used in the right panel where the star formation history has been computed with the technique developed in Paper I.
For an example position along the orbit, say t^{∗} ≡ t_{lbt} = −9 Gyr (where t_{lbt} is the lookback time), we ask ourselves which mass limit gives rise to star formation instability. We plot our instability factor Eq. (9), with the model of the MW external potential and electron number density for coronal gas as in Paper I, as a function of the total mass of the dwarf galaxy. The results are shown in Fig. 5 (left panel). The orbits define the phase space parameter of the galaxy. If we increase the total mass of the orbiting object at fixed orbital parameters (MW model centred on S_{0}, x(t = 0) = { 0,200,0 } kpc and e = 0.25), we see that the system gradually becomes more stable and at t = t^{∗} (an arbitrary point on the real line of the time) we can easily see that systems more massive than ~0.25 × 10^{8}M_{⊙} with a tidal radius of r_{tidal} = 5 kpc become stable to external star formation activation.
Fig. 5 (Left panel) The instability parameter as a function of the mass of the dwarf galaxy orbiting in a MW external environmental model (see text for details). (Right panel) Instability parameter as a function of the size for a stable mass chosen in the left panel, M = 10^{8}M_{⊙}. The different thin lines and colours refer to the different components contributing to the global instability parameter (thick blue line). 

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Equation (7)represents a criterion of stability, not an equation governing the evolution of the system analysed. We do not follow the linear response of a system but only study the onset of star formation. Different masses, or systems, would evolve around different orbits than at the one chosen in our example. The instability criterion simply has the function to predict which parameters in the multidimensional space of mass, size, and phasespace give rise to instability and hence potentially lead to star formation because of the specified external environment. Of course if the galaxy does not contain gas (i.e., the criterion of Ξ > 0 in Eq. (2)is not satisfied), then regardless of whether its structural and orbital parameters satisfy the positivity of the instability growth factor, the galaxy will not experience star formation. This point will be discussed further in Sect. 5.
Another interesting feature of our theory is the possibility to account for a scale parameter r_{s}. Hence, on the same fixed orbit of Fig. 5 (left panel) we can investigate the instability once r_{s} is allowed to vary. We consider the same instant and orbit. As seen in the left panel of Fig. 5, any mass M_{gal}> 0.25 × 10^{8}M_{⊙} is enough to shield the galaxy from activating star formation by external factors. We now imagine diluting (or compact) a M_{gal} = 10^{8}M_{⊙} over larger and larger scale radii at the same position and velocity as computed for t^{∗} in the previous plot. The result, Fig. 5, right panel, clearly shows that the growth of the instabilities is favoured by diffusing the stellar system. As soon as a galaxy of total mass M_{gal} = 10^{8}M_{⊙} is diffused over a scale radius greater than 4.1 kpc the galaxy becomes prone to the growth of instabilities (here the tidal radius, but note that the passage between different scale radii will result in just a shift along the x axis) coherently with left panel in the figure.
Finally, both the panels show a comparative study in the particular instant of the selected orbit for the relative importance of the different effects. We selected an angular dependence of to show all the effects contributing to model the total instability parameter curve. As is evident, the mixed term is dominant over the pure KH term, , and RT term, . This holds for compact systems. At fixed mass (M = 10^{6}M_{⊙}) for increasing radius, we see that the more diffuse the system, the more the inertial term of Eq. (10)becomes relevant. It finally becomes dominant over 5 kpc. We stress once more that this is not expected to be a general trend, but it is specific to this particular orbit. Nevertheless, for each orbit, the instability criterion can indicate the dominant effects for the parameter selected. The RTacceleration effect (Eq. (14)) is constant at a fixed point on the orbit and dominant over all terms. This is because for the chosen orbits and dwarf scale parameters r_{s} = 5 kpc and M_{gal} = 10^{8}M_{⊙}, there is a tight correlation between pericentre passages and starformation history (see Fig. 4 right panel).
We combine the two panels of the previous figures to show in Fig. 6 (a given orbit and precise instant, t = t^{∗} in our case) the characteristic manifold of the star forming regions (in the masssize space). As evident from the figure, the dwarf galaxy orbiting the MW in the example orbit can either have star formation (red zone) or be stable against it (green region) depending on its mass and size. The criterion derived here predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. This plot indeed can be calculated for any point of the MW dwarf galaxies’ phasespace distribution. In Fig. 6, the “green valley” of the manifold formalizes the intuition that smaller (in size) systems require less total mass to be shielded from external influences. Finally, beyond a certain limit the internalinertial term becomes dominant and induces the l = 2 modal instability regardless of the role of the external pressure or tidal forces.
We stress that this is not intended to be an investigation of the instability zones of parameter spaces of the MW, LG or any particular LG, dwarf galaxy. A statistical investigation of the errors involved and on their propagation on the positions and velocities of a dwarf galaxy is a complicated task that requires more advanced techniques (e.g. see the analysis of the Carinas dwarf galaxy orbit in Pasetto et al. 2011 based on the minimum action principle) and is in preparation for MW dwarf galaxies (Pasetto et al., in prep.).
Fig. 6 Instability valley: manifold of the star formation instability for a x(t = 0) = { 0,200,0 } kpc and e = 0.25 considered as an example. The green zone refers to stable regions of the mass vs. size space. Red zones refer to possible active star formation. 

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5. Conclusion
Since the original works on collapse and instability of Jeans (Jeans 1902) and the phenomenological works of Schmidt (1959), and Kennicutt (1998), criteria ruling the star formation processes have been of great interest in astrophysics and an extensive matter of debate. The treatment of the star formation processes accounting for environmental effects has almost always been the territory of experimental/numerical astrophysics (for a review, see e.g. Mayer 2010).
In this work, we address this problem from an analytical point of view for the first time, by presenting a new treatment of the gas instability processes that activate star formation in interacting stellar systems embedded in an external environment. Our approach is based on the study of the pressure acting on a density distribution of molecular clouds subject to external pressure acting on them. The arguments are developed in spherical geometry and a consistent new instability criterion is obtained, which accounts for gravitational and hydrodynamical properties of the molecular clouds and their surrounding environment.
The main results in this analysis are

an analytical expression for the instability conditions, a criterion obtained by analysing the growth of the instability because of a perturbation at a surface of equilibrium. The description of the perturbation is limited to a mode of interest for the astrophysical case, l = 2 in a spherical harmonic expansion. Limiting conditions (Eqs. (15)or (16)with (19)) are also developed to propose a version of the instability criterion fully testable with limited observational data. From observational constraints this is expected to provide indications on the nature of a studied system;

we show for the first time the dependence of instability on the orbital parameters for a particular example. This approach has the advantage of casting light on the role of the different instability processes in giving rise to unstable (i.e. growth) modes. In particular, this approach is complementary to pure numerical methodology (adaptive mesh refinement, smooth particle hydrodynamics, etc.) indicating the main dependencies of the analysed stellar system on dynamical parameters (speed, acceleration, mass, and size) and how strong they are. In this way, this analytical result is a fundamental key for interpreting the numerical/experimental results where all of these effects act simultaneously.
We conclude with a few remarks on the criterion developed here. It is obtained by a dynamically consistent equation derived to the first order in the perturbation factor η, but it is not an evolution equation, it is only an instability criterion. We did not consider the eigenfunction of the perturbation equation nor the equilibrium equation that should be solved together to obtain the time evolution of the perturbation, eventually producing a system of equations directly comparable to Nbody Adaptive Mesh Refinement/SmoothParticlehydrodynamics (AMR/SPH) simulations. This comparison was done in Paper I to which we refer the reader.
Despite the difficulties in handling instability with numerical techniques, the Nbody AMR/SPH simulations provide a valuable tool for performing experiments/exercises that can guide theoretical and observational studies. Nevertheless, the degree of comprehension of a phenomenon that can be achieved with analytical studies cannot be reached by a controlled numerical experiment where all the effects (internal and external) overlap in a nonlinear way. It is the purpose of this paper to present a possible interpretative key for disentangling the different theoretical aspects of a numerical experiment.
Still, numerical experiments can lead the theoretical research, in which the limitation of the analytical approaches struggles to advance to a simple formulation (e.g. Del Popolo 2012). For example every time two systems lose their identities when merging into a single object (e.g. Renaud et al. 2014, 2008; Sales et al. 2007) the linear response theory here developed can be only of indicative help, while a numerical simulation where the instability criteria are implemented locally seem, to date, the better way to do advance our understanding.
This work addresses in an analytical way the problem of the environmental influence on a system. The criterion derived here predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. It shows that the instability can be triggered or suppressed in a different way depending on the internal density profile of the system under examination. Finally, in the case of primordial globular clusters moving supersonically throughout the disk of a spiral galaxy, the algebra of the instability criterion developed here is expected to work once the pressure equation is considered in the supersonic regime. A relation between pre and postshock pressure to account for this isentropic compression was already worked out in Appendix A.3 of Paper I.
Note how our definition differs from Eq. (14) in Plesset (1954) (and the form widely used in literature) because in the original definition the dependence of while we prefer to keep the original dimensionless nature of the Atwood number.
Acknowledgments
S.P. thanks: Anna Pasquali and Denija Crnojević for stimulating discussions. We thank the anonymous referee for useful suggestions. We acknowledge PRACE for awarding us access to resource ARCHER UK National Supercomputing Service. The support of Chris Johnson from EPCC, UK for the technical work is gratefully acknowledged.
References
 Abramowitz, M., & Stegun, I. A. 1972, Handbook of Mathematical Functions (New York: Dover) [Google Scholar]
 Batchelor, G. K. 2000, An Introduction to Fluid Dynamics (Cambridge University Press) [Google Scholar]
 Bertelli, G., Bressan, A., Chiosi, C., Ng, Y. K., & Ortolani, S. 1995, A&A, 301, 381 [NASA ADS] [Google Scholar]
 Bertelli, G., Nasi, E., Girardi, L., & Marigo, P. 2009, A&A, 508, 355 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Birkhoff, G., Margulies, R. S., & Horning, W. A. 1958, Phys. Fluids, 1, 201 [NASA ADS] [CrossRef] [Google Scholar]
 Capuzzo Dolcetta, R., Di Matteo, P., & Miocchi, P. 2005, AJ, 129, 1906 [NASA ADS] [CrossRef] [Google Scholar]
 Cavaliere, A., & FuscoFemiano, R. 1976, A&A, 49, 137 [NASA ADS] [Google Scholar]
 Ceschia, M., & Nabergoj, R. 1978, Phys. Fluids, 21, 140 [NASA ADS] [CrossRef] [Google Scholar]
 Chandrasekhar, S. 1961, Hydrodynamic and hydromagnetic stability (Oxford: Clarendon) [Google Scholar]
 Choi, P. I., Guhathakurta, P., & Johnston, K. V. 2002, AJ, 124, 310 [NASA ADS] [CrossRef] [Google Scholar]
 Cioni, M.R. L., Bekki, K., Clementini, G., et al. 2008, PASA, 25, 121 [NASA ADS] [CrossRef] [Google Scholar]
 Colpi, M., Mayer, L., & Governato, F. 1999, ApJ, 525, 720 [NASA ADS] [CrossRef] [Google Scholar]
 Crnojević, D., Grebel, E. K., & Cole, A. A. 2012, A&A, 541, A131 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Dehnen, W., Odenkirchen, M., Grebel, E. K., & Rix, H.W. 2004, AJ, 127, 2753 [NASA ADS] [CrossRef] [Google Scholar]
 Del Popolo, A. 2012, MNRAS, 419, 971 [NASA ADS] [CrossRef] [Google Scholar]
 Efroimsky, M., & Makarov, V. V. 2014, ApJ, 795, 6 [NASA ADS] [CrossRef] [Google Scholar]
 Elmegreen, B. G., & Efremov, Y. N. 1997, ApJ, 480, 235 [NASA ADS] [CrossRef] [Google Scholar]
 Fernández, X., Joung, M. R., & Putman, M. E. 2012, ApJ, 749, 181 [NASA ADS] [CrossRef] [Google Scholar]
 Fujita, Y. 1998, ApJ, 509, 587 [NASA ADS] [CrossRef] [Google Scholar]
 Fujita, Y., & Nagashima, M. 1999, ApJ, 516, 619 [NASA ADS] [CrossRef] [Google Scholar]
 Gnedin, O. Y., & Ostriker, J. P. 1997, ApJ, 474, 223 [NASA ADS] [CrossRef] [Google Scholar]
 Grebel, E. K. 1997, Rev. Mod. Astron., 10, 29 [NASA ADS] [Google Scholar]
 Gunn, J. E., & Gott, III, J. R. 1972, ApJ, 176, 1 [NASA ADS] [CrossRef] [Google Scholar]
 Ibata, R., Irwin, M., Lewis, G., Ferguson, A. M. N., & Tanvir, N. 2001, Nature, 412, 49 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Jeans, J. H. 1902, Roy. Soc. London Philos. Trans. Ser. A, 199, 1 [NASA ADS] [CrossRef] [Google Scholar]
 Jog, C. J. 2013, MNRAS, 434, L56 [NASA ADS] [CrossRef] [Google Scholar]
 Jordi, K., & Grebel, E. K. 2010, A&A, 522, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Kennicutt, Jr., R. C. 1998, ApJ, 498, 541 [NASA ADS] [CrossRef] [Google Scholar]
 Klimentowski, J., Łokas, E. L., Kazantzidis, S., et al. 2009, MNRAS, 400, 2162 [NASA ADS] [CrossRef] [Google Scholar]
 Landau, L. D., & Lifshitz, E. M. 1959, Fluid mechanics (Oxford: Pergamon Press) [Google Scholar]
 Lebedev, N. N., Silverman, R. A., & Livhtenberg, D. B. 1965, Phys. Today, 18, 70 [NASA ADS] [CrossRef] [Google Scholar]
 Makarova, L. N., Grebel, E. K., Karachentsev, I. D., et al. 2002, A&A, 396, 473 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Martin, N. F., Ibata, R. A., Irwin, M. J., et al. 2006, MNRAS, 371, 1983 [NASA ADS] [CrossRef] [Google Scholar]
 Mayer, L. 2010, Adv. Astron., 2010, 278434 [NASA ADS] [CrossRef] [Google Scholar]
 Mikaelian, K. O. 1990, Phys. Rev. A, 42, 3400 [NASA ADS] [CrossRef] [Google Scholar]
 Nelson, R. W., & Tremaine, S. 1999, MNRAS, 306, 1 [NASA ADS] [CrossRef] [Google Scholar]
 Nidever, D. L., Majewski, S. R., Butler Burton, W., & Nigra, L. 2010, ApJ, 723, 1618 [NASA ADS] [CrossRef] [Google Scholar]
 Odenkirchen, M., Grebel, E. K., Rockosi, C. M., et al. 2001, ApJ, 548, L165 [NASA ADS] [CrossRef] [Google Scholar]
 Pasetto, S., & Chiosi, C. 2009, A&A, 499, 385 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Pasetto, S., Chiosi, C., & Carraro, G. 2003, A&A, 405, 931 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Pasetto, S., Grebel, E. K., Berczik, P., Chiosi, C., & Spurzem, R. 2010, A&A, 525, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Pasetto, S., Grebel, E. K., Berczik, P., Chiosi, C., & Spurzem, R. 2011, A&A, 525, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Pasetto, S., Bertelli, G., Grebel, E. K., Chiosi, C., & Fujita, Y. 2012, A&A, 542, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Pasetto, S., Chiosi, C., Cropper, M., & Grebel, E. K. 2014, MNRAS, 445, 3592 [NASA ADS] [CrossRef] [Google Scholar]
 Plesset, M. S. 1954, J. Appl. Phys., 25, 96 [NASA ADS] [CrossRef] [Google Scholar]
 Prosperetti, A., & Seminara, G. 1978, Phys. Fluids, 21, 1465 [NASA ADS] [CrossRef] [Google Scholar]
 Renaud, F., Boily, C. M., Fleck, J.J., Naab, T., & Theis, C. 2008, MNRAS, 391, L98 [NASA ADS] [Google Scholar]
 Renaud, F., Bournaud, F., Kraljic, K., & Duc, P.A. 2014, MNRAS, 442, L33 [NASA ADS] [CrossRef] [Google Scholar]
 Roediger, E., & Hensler, G. 2005, A&A, 433, 875 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Roediger, E., & Hensler, G. 2008, A&A, 483, 121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Sales, L. V., Navarro, J. F., Abadi, M. G., & Steinmetz, M. 2007, MNRAS, 379, 1475 [NASA ADS] [CrossRef] [Google Scholar]
 Sand, D. J., Strader, J., Willman, B., et al. 2012, ApJ, 756, 79 [NASA ADS] [CrossRef] [Google Scholar]
 Schmidt, M. 1959, ApJ, 129, 243 [NASA ADS] [CrossRef] [Google Scholar]
 Shaw, S. J. 2006, Phys. Fluids, 18, 072104 [NASA ADS] [CrossRef] [Google Scholar]
 Tolstoy, E., Hill, V., & Tosi, M. 2009, ARA&A, 47, 371 [NASA ADS] [CrossRef] [Google Scholar]
 Tonnesen, S., & Bryan, G. L. 2012, MNRAS, 422, 1609 [NASA ADS] [CrossRef] [Google Scholar]
 Weisz, D. R., Dolphin, A. E., Skillman, E. D., et al. 2014, ApJ, 789, 147 [NASA ADS] [CrossRef] [Google Scholar]
 Wisnioski, E., Glazebrook, K., Blake, C., et al. 2012, MNRAS, 422, 3339 [NASA ADS] [CrossRef] [Google Scholar]
 Yun, M. S., Ho, P. T. P., & Lo, K. Y. 1994, Nature, 372, 530 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Zucker, D. B., Kniazev, A. Y., Bell, E. F., et al. 2004, ApJ, 612, L117 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
Online material
Appendix A: Noninertial linear response theory for gas instabilities in spherical coordinates
In this Appendix, we develop the mathematics of the linear response theory introduced in Sect. 2. The unstable periphery of a gaseous sphere penetrating an external medium is considered in a noninertial reference frame, and kinematic and dynamical boundary conditions are considered. An instability criterion is obtained in spherical coordinates and plane geometry limit is considered.
Appendix A.1: Kinematic boundary conditions
Appendix A.1.1: Perturbed surface
In the geometrical framework introduced in Sect. 2.2, we consider a potentialflow type description of the surface of the galaxy in its motion throughout an intracluster medium. The distribution of the molecular clouds in the ISM of the galaxy is described with a density distribution ρ = ρ(ξ) in S_{1} bordered by a surface Σ surface of the frontier of the domain of existence of the (bound) density function ρ: limξ → ∞ρ< ∞. No singularity is allowed in the potentialdensity couple satisfying the associated Poisson equation ΔΦ = 4πGρ. This distribution is then perturbed to a new state, corresponding to a new perturbed surface density (where the spherical coordinates introduced above in S_{1} have been employed). We will limit ourselves to a linear analysis and we assume the defining equation for the surface Σ(ξ,θ,φ;t) = 0 to be given by Eq. (1).
Appendix A.1.2: Internal gas perturbed potential flow
We will refer to a quantity of the orbiting stellar system as “internal”, e.g. its density ρ_{in}, velocity potential ϕ^{in}, etc. To describe the cold ISM, we will use the solution for the Laplace equation for a stationary expanding/contracting potential flow written as (e.g. Landau & Lifshitz 1959) to which we add the perturbation solution of the Laplace equation proportional to ξ^{l}, i.e. (with B_{lm} proportionality coefficients of the spherical harmonic basis): (A.1)where we already excluded terms proportional to ξ^{− 1 − l} in the radial solution of the Laplace equation ϕ ∝ A_{lm}ξ^{− l} + B_{lm}ξ^{l} by setting their corresponding coefficients A_{lm} = 0. This is done to avoid divergences as long as we move away from Σ inward into the galaxy. To ensure continuity of the surface element fluids at the surface, we proceed in the standard way (e.g. Batchelor 2000) by evaluating the kinematical boundary conditions (i.e., of the Eulerian derivative at the surface) of the fluid elements at the perturbed surface (see Eq. (1)): (A.2)where ∂_{x} is a compact notation for the derivative . With and by computing the spatial gradient components in S_{1} as , as well as , Eq. (A.2)reduces to an equation for the parameters B_{lm}:
obtained by Eq. (A.2)with the terms computed above and by simple substitution of the perturbed surface of Eq. (1). This equation can be solved for B_{lm} as: (A.3)obtained by collecting the common terms. We now linearize the previous result to the first order in η. After a McLaurin expansion in η, we find the following compact form for the coefficients B_{lm}: (A.4)Inserting Eq. (A.4)in Eq. (A.1)helps us to obtain the final form of the potential vector to the first order as: (A.5)which is Eq. (4) of Plesset (1954). Differently from Plesset (1954), we are here interested in describing the motion of the dwarf galaxy along its orbit in the bath of a hotter, lighter intergalactic medium, or vice versa, the motion of this intergalactic medium impacting the dwarf galaxy in its orbital evolution as it appears in the reference frame S_{1}. This case has similarity with the problem presented in Paper I and was extensively treated in the context of stellar convection by Pasetto et al. (2014). We adapt their formalism and extend their results to this nonaxisymmetric context.
Appendix A.1.3: External gas perturbed potential flow
We will refer to a quantity external to the orbiting system as “outside” the system, e.g. the hot intracluster medium density ρ_{out}, its velocity potential ϕ^{out}, etc. The potential flow for the hot intergalactic medium written in the reference frame S_{1} comoving with the stellar system, , is introduced in the previous section, but see recently also Pasetto et al. (2014), as . To these terms, we add now the term computed above for the expansion/contraction of the galaxy ϕ_{v1}, and the perturbation solution of the Laplace equation proportional to written as to get (A.6)where in contrast to the previous case of Eq. (A.1)we want here to exclude terms proportional to ξ^{l} by setting their corresponding coefficients B_{lm} = 0 in the Laplace equation because we do not want to consider divergences as long as we go far outside the dwarf galaxy away from Σ. Again as in Eq. (A.2), we proceed by evaluating the kinematical boundary conditions of the fluid element at the surface (A.7)where the only difference from the previous Eq. (A.2)is that the velocity potential gradients are now derived as . Considering this difference, we proceed exactly as done above for the , to obtain an equation that is linear in A_{lm} and that can be solved as: (A.8)We now linearize the previous result to the first order in η. We obtain (A.9)Finally, we obtain the potential velocity in the following simplified form: (A.10)where we have inserted Eq. (A.9)in Eq. (A.6)and accepted minor simplifications.
A sanity check shows that this can be reduced in the unperturbed case, η → 0, to the result . This was already suggested in Paper I and extensively considered in a different context in Pasetto et al. (2014). For v = 0 ∧ η ≠ 0, this reduces to the Eq. (5) of Plesset (1954).
Appendix A.2: Dynamical boundary condition
At the surface radius in which we have chosen to represent the galaxy size, apart from the kinematic boundary condition we want to express the condition of continuity of the stress vector (i.e. the dynamic boundary condition). The stress vector s_{out} and s_{in} inside and outside the surface Σ must satisfy the condition ⟨ n,s_{out} ⟩ _{Σ = 0} = ⟨ n,s_{in} ⟩ _{Σ = 0} so that for inviscid fluids (s = −pI with I identity matrix) we obtain the standard literature dynamical boundary condition p_{out} = p_{in} to be treated now thus accounting for the ram pressure that the galaxy is experiencing in its motion.
Appendix A.2.1: Internal gas pressure equation
Now we need the task to impose the dynamical boundary condition of the external gas medium on the internal stellar system gas at each position of its perturbed scaleradius surface r_{s} + δr_{s}. Given the framework developed in Sect. 2.2, we can make use of Eq. (7) of Paper I where the noninertial character of the system S_{1} is taken into account. In this notation, we can compute the velocity for the molecular clouds of the dwarf galaxy ∥ v_{1} ∥ as is the internal fluid of the galaxy that is inert with respect to the reference frame S_{1} comoving with the stellar system. Equation (7) of Paper I in this case reads: (A.11)where ⟨ a_{O′},ξ ⟩ is the projection of the acceleration along the position vector ξ and f^{in}(t) is a constant of the space, not depending on B_{lm}, which we determine by imposing the boundary condition far away from the ideal radius r_{s} (at infinity). This is because we assume hydrostatic equilibrium far away from the molecular cloud borders and the function f^{in} is therefore determined by the limit of the previous equation for ∥ ξ ∥ → ∞ as shown in Paper I.
Because the lifetime of a molecular cloud (given the star formation efficiency expected to act in the systems under study, see Fig. 1 of Paper I) is much shorter (<300 Myr) than the timescale over which the orbital parameters change significantly, we assume the velocity of the fluid impacting the dwarf galaxy molecular clouds to be uniform and constant (in S_{1}). We also neglect nonorthogonal components of the acceleration that remain constant in time along the lifetime of the molecular clouds. In this case, we write simply ⟨ a_{O′},ξ ⟩ = a_{O′}ξcosϑ with ϑ being the angle between a_{O′} and ξ. In general, ϑ ≠ θ apart from particular orbits (or part of them).
To progress with Eq. (A.11)we need to evaluate and to first order in the small parameter η. Differentiating Eq. (A.5) yields: (A.12)to be evaluated at the perturbed location . We expand this to the first order to obtain: (A.13)The procedure advances exactly the same for the gradient components and (A.16)We preferred a slightly longer formalism in the first lines of these equations to show the terms proportional to ξ so that in the second lines we simplify their substitution at the perturbed location, and in the third lines (Eqs. (A.14)–(A.16)) the remaining terms emerge more clearly. Other more compact formulas can be worked out if necessary but reduce the readability. Equation (A.11)to the first order on the perturbation is then: (A.17)From this equation we can calculate the pressure. As a “sanity check”, if we require the reference system to be inertial, then the apparent forces disappear a_{O′} = 0 and for a zero flow velocity as well as for the case of no perturbation η = 0 we get , which is the standard literature equation of the expanding/contracting bubble for zero surface tension (e.g. Batchelor 2000). Finally, it is evident that when the perturbation is not null but no velocity fluid is included v = 0 we obtain the results in Plesset (1954). Hence in these cases our results reduce to wellknown results in the literature.
Appendix A.2.2: External gas pressure equation
In the external gas case, the pressure equation is again obtained from the Bernoulli equation by adding the inertial term as in the previous section. Here, writing our equations in S_{1} instead of S_{0} results in a slightly more complex formalism; nevertheless, the procedure is the same as outlined above and the approach will result in an easier physical interpretation of our final results. We consider the terms in the following equation (A.18)which we evaluate at the perturbed location . Here the free function has been previously derived in Paper I (their Eq. (8)), and v_{rel} is the velocity of the fluid impacting the stellar system in S_{1}, i.e. the velocity of the stellar system itself (apart from the sign). The reason for calling it v_{rel}, instead of simply ∥ v_{O′} ∥ = v, will be clearer later on.
For each term in Eq. (A.18)to the first order we obtain: Equation (A.18)is simplified by collecting Eqs. (A.19)–(A.22)once the scalar product is taken into account. As before, the solution of Eq. (A.18)can be obtained in terms of the pressure p and it can be simplified by retaining only the first order terms. We have (hereafter we define l_{+} ≡ l + 1, l_{++} ≡ l + 2 and l_{−} ≡ l − 1, etc. to minimize the notation) (A.23)Again we can check the validity of this equation by assuming no perturbation η → 0 and l = 0 to prove that it effectively reduces to the Theorem of Sect. 3 in Pasetto et al. (2014) as a particular case.
Appendix A.2.3: Surface of equilibrium
Taking the difference between Eqs. (A.17)and (A.23), we express the continuity condition of the pressure impacting the stellar system from the external gas (the ram pressure condition). The equation of motion for the unperturbed equation is: (A.24)Our disposition of the terms indicates immediately that in S_{0}, without the motion of the fluid or the sphere, we obtain , which indicates the condition of equilibrium where always ρ_{in} ≠ ρ_{out} as . This, for example, may describe a case of a galaxy lying at the centre of a galaxy cluster. Therefore, because we are interested in the growth of the perturbation over an equilibrium state (for at least one instability mode), in the resulting equation we only need to study the terms proportional to the perturbation terms (i.e. the terms containing the spherical harmonics) that we analyse in the next section. We move from this equation to investigate the more interesting case of the differential equation for η = η(t) from which, stability condition for the growth of a perturbation can be derived.
Appendix A.3: Condition for the instability
The condition for the instability is derived by considering only the perturbed terms in difference between Eqs. (A.17)and (A.23). Collecting terms in and its derivatives we obtain an equation of the form for some form of the functions and i = 1,2,3, which suggests that we define two special functions as follows: independent from η or its derivatives. In this way, we obtain an equation for the perturbation η of the form which immediately produces an interesting result as follow: the presence of a preferential direction for the motion of the galaxy along its orbit induces a symmetry on the perturbations. The dependence on the considered azimuthal mode remains, i.e. the dependence on m, nevertheless it becomes independent from the azimuthal direction φ. This is an interesting simplification that is a consequence of the geometry assumed.
The study of the stability of the solution of an equation of the form is better performed if we convert it to an eigenvalue problem. To proceed in this way, we collect the terms depending on the perturbation factor η and its derivatives. With the aid of Eqs. (A.25)and (A.26)we put the differential equation in standard form. Hence, the more suitable form for starting our stability analysis obtained by taking only the perturbed terms that differ between Eq. (A.17)and (A.23)and accounting for Eqs. (A.25)and (A.26)is (A.27)Despite its complicated form, this equation is formulated in a suitable way to show that it can reduce to Eq. (13) in Plesset (1954).
Considering we have no known terms in the lefthand side (LHS) of Eq. (A.27), i.e. it is a second order ODE of the type for η = η(t), we can attempt a classical quantum mechanics WentzelKramersBrillouin (WKB) approach to the solution by making use of the transformation (A.28)where on purpose we choose,
to simplify Eq. (A.27)to a standard eigenvalues problem with slowly varying coefficient: (A.29)whose solution is conveniently carried out in WKB approximation. However, we will accomplish a much simpler task here. We are interested in the condition for which at least one mode is unstable, and the instability of the harmonic oscillator equation Eq. (A.29)is well known to depend on the positivity of the growth factor γ^{2}(θ;t) > 0 where (A.30)This represents the desired equation already presented in a more compact fashion in Eq. (7). For the purpose in this Appendix of recovering some limitcases we will explicitly keep the terms in Eq. (A.30)written in their full extension. γ^{2} relates to the growth of the perturbation for which we were searching (it is indeed called the growth factor). This completes our theoretical framework and equips us with the tools to investigate the growth of the instabilities by compression or instabilities that lead to star formation.
Appendix A.3.1: Special limits
We start by remarking how in the case of a noninertial reference frame S_{1}, the instability condition reduces to the study of the positivity of the last row (i.e. the third) of Eq. (A.30)(that we rewrite in a compact way as (with Eq. (6)of Sect. 2.2): (A.31)This equation was already presented by Plesset (1954) (his Eq. (17) with zero surface tension).
Another important limit to recover is the plane case. In the spherical geometry that we have assumed, the plane case can be achieved by taking l → ∞ and R → ∞ and keeping the wave number of the perturbation, k, constant. This is not a trivial task for the presence of the special functions F_{1} and F_{2} defined in Eqs. (A.25)and (A.26)whose dependence on l involves the determination of the Euler Gamma function for large values of the index l. We refer the interested reader to Appendix B for the computation of their asymptotic behaviour for large l because of its exclusively mathematical nature. Using the results of Appendix B we can show that Eq. (A.30)behaves in the plane case as (A.32)Then, if we define, as usual, the acceleration to be the previous equation reduces to (A.33)which can be easily interpreted remembering the plane case in the literature as discussed for Eq. (4). We indicated with a_{⊥} the acceleration orthogonal to the surface that in the plane case represents the vertical direction. Hence, the first term is exactly the instability criterion for the RT effect where the effective acceleration g_{eff} = a_{⊥} − g has been corrected for the presence of the correctiveterm a_{⊥}. In the same way, the second term retains the key dependencies from the relative velocity v_{rel} = v_{in} − v_{out} between the fluid above and below the surface dividing the two sliding fluids that are the basis of the KH instability. These criteria become equivalent to the RT and KH criteria (apart from the numerical factors 9/4ρ_{out}) at the stagnation point, where cosϑ = 1 and sin^{2}θ = 0 and at the tangent to the sphere cosϑ = 0 and sin^{2}θ = 1, respectively.
Appendix B: Asymptoctic expansion of the functions F_{1} and F_{2}
We elaborate in this Appendix on more mathematical theorems that can be skipped in a first reading.
We are interested in the limits of the special functions F_{1} and F_{2} defined and in their asymptotic expansion. A plot of the two functions for the instability mode of interest (l = 2) and the angular dependence of interest , is presented in Fig. B.1, where and respectively.
As the index l tends to approach ∞ we can write for while As already discussed in association with Fig.1, there is no observational evidence of strong azimuthal asymmetries in dwarf galaxies of the LG, thus it is safe to assume the perturbation to be well represented by modes with m = 0. With this assumption, in the stagnation point direction θ = 0 is More cumbersome is the same limit for the case . We obtain where in order to prove this theorem the Stirling expansion for the Gamma function has to be considered.
Fig. B.1 Special function F_{1} and F_{2} for the modal perturbation l = 2. The divergence (dashed vertical line) is located at . Only the angular range of interest is accounted. 

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By analogy with the previous proofs we get where we used the “bigO” to express that the limit is increasing to infinity as the power written. Once introduced in Eq. (A.30)this behaviour cancels out to the desired limit offering the finite limit we wrote in Eq. (A.32). With the same abuse of notation now clearly we can write This proves the asymptotic behaviour at the leading order of the special functions F_{1} and F_{2}.
All Figures
Fig. 1 l = 2 perturbation mode of a spherical harmonics (central) over the unperturbed axisymmetric system (left). We exclude perturbation modes other than l = 2 because, although every perturbed 3D surface can be realized by a superposition of spherical harmonics modes, no common evidence exists for the type of symmetries as presented on the right (e.g. l = 3 mode). The dashedgreen line provides an example of a star cluster orbit. Note that the tidal tails (yellow zone bordered by the black contours) do not necessarily lie along the orbits, i.e., O(t) ≠ 1 in the formalism of this paper, see, e.g. Pasetto et al. (2010, their Fig. 7) or Dehnen et al. (2004), Capuzzo Dolcetta et al. (2005) for globular cluster cases. 

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In the text 
Fig. 2 Geometrical framework as seen by an observatory comoving with S_{1}. The position vector ξ, the position vector of S_{0}, x(t) and the position of S_{1} in S_{1}, x_{O′}(t), are shown in green. Here the system attached to the reference frame S_{1} has been zoomed to show the quantities defined in the text better, but it is supposed to be the smaller in mass and dimension and is orbiting around an inertial major system attached to S_{0}. The blue shadow represents the generic external environment attached to S_{0}system in which the S_{1}system is embedded. The position vector of S_{0}, once at the surface of the galaxy, Σ, take the scale radius value ∥ ξ ∥ _{Σ} = r_{s} (doted red orange circle). The scale radius is generally a function of time r_{s} = r_{s}(t) and it varies as a consequence of the gravitational external field that the galaxy experiences along its orbit around the major galaxy centred in S_{0}. In the noninertial reference frame, S_{1} the velocity v = v(t) (red arrow aligned with ) of the fluid impacting the galaxy (i.e. the negative of the velocity of the stellar system in S_{0}) forms an angle θ with the position vector ξ, (with notation for the smaller angle between two, threedimensional vectors). The acceleration (violet arrow) inclusive of the apparent effect forced due to the noninertial character of S_{1} forms an angle with the position vector. An observer comoving with S_{1} sees the inertial reference frame S_{0} changing position at different times t − Δt,t or t + Δt as well as the rotation of S_{0} axes. 

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In the text 
Fig. 3 Pictorial representation of smallangle interpretation. Formally our request for a small perturbation η ≪ r_{s} should induce a smallangles interpretation of our results. Nevertheless, we see graphically the reason why we should expect our approximation to hold even if η is not small. As evident in this figure, around the point A, we see the orthogonal direction to the equilibrium surface (dotted yellow) and to the perturbed surface (dotted orange) remains approximatively collinear. In contrast, for larger angles (see point B in figure) the approximation is not as good (and the functions F_{1}, F_{2} present a divergence, see Appendix A). We recover fully the validity of our approximation to the orthogonal case . Note how this divergence can be cured with higher order expansions in η. 

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In the text 
Fig. 4 (Left panel) Orbit of a dwarf galaxy with eccentricity e = 0.25 and starting position { x,y,z } = { 0,200,0 } kpc computed on a MW tuned external potential (pictorial background photo). (Right panel) Star formation history of the dwarf galaxy of the left panel accounting for internal and external effects as modelled in Paper I. 

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In the text 
Fig. 5 (Left panel) The instability parameter as a function of the mass of the dwarf galaxy orbiting in a MW external environmental model (see text for details). (Right panel) Instability parameter as a function of the size for a stable mass chosen in the left panel, M = 10^{8}M_{⊙}. The different thin lines and colours refer to the different components contributing to the global instability parameter (thick blue line). 

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In the text 
Fig. 6 Instability valley: manifold of the star formation instability for a x(t = 0) = { 0,200,0 } kpc and e = 0.25 considered as an example. The green zone refers to stable regions of the mass vs. size space. Red zones refer to possible active star formation. 

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In the text 
Fig. B.1 Special function F_{1} and F_{2} for the modal perturbation l = 2. The divergence (dashed vertical line) is located at . Only the angular range of interest is accounted. 

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In the text 
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