Free Access
Issue
A&A
Volume 607, November 2017
Article Number A35
Number of page(s) 17
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/201731196
Published online 03 November 2017

© ESO, 2017

1. Introduction

The angular momentum deficit (AMD)-stability criterion (Laskar 2000; Laskar & Petit 2017) allows to discriminate between a-priori stable planetary systems and systems needing an in-depth dynamical analysis to ensure their stability. The AMD-stability is based on the conservation of the angular momentum deficit (AMD, Laskar 1997) in the secular system at all orders of averaging (Laskar 2000; Laskar & Petit 2017). Indeed, the conservation of the AMD fixes an upper bound to the eccentricities. Since the semi-major axes are constant in the secular approximation, a low enough AMD forbids collisions between planets. The AMD-stability criterion has been used to classify planetary systems based on the stability of their secular dynamics (Laskar & Petit 2017).

However, while the analytical criterion developed in (Laskar & Petit 2017) does not depend on series expansions for small masses or spacing between the orbits, the secular hypothesis does not hold for systems experiencing mean motion resonances (MMR). Although a system with planets in MMR can be dynamically stable, chaotic behavior may result from the overlap of adjacent MMR, leading to a possible increase of the AMD and eventually to close encounters, collisions or ejections. For systems with small orbital separations, averaging over the mean anomalies is thus impossible due to the contribution of the first-order MMR terms. For example, two planets in circular orbits very close to each other are AMD-stable, however the dynamics of this system cannot be approximated by the secular dynamics. We thus need to modify the notion of AMD-stability in order to take into account those configurations.

In studies of planetary systems architecture, a minimal distance based on the Hill radius (Marchal & Bozis 1982) is often used as a criterion of stability (Gladman 1993; Chambers et al. 1996; Smith & Lissauer 2009; Pu & Wu 2015). However, Deck et al. (2013) suggested that stability criteria based on the MMR overlap are more accurate in characterizing the instability of the three-body planetary problem.

Based on the considerations of Chirikov (1979) for the overlap of resonant islands, Wisdom (1980) proposed a criterion of stability for the first-order MMR overlap in the context of the restricted circular three-body problem. This stability criterion defines a minimal distance between the orbits such that the first-order MMR overlap with one another. For orbits closer than this minimal distance, the MMR overlapping induces chaotic behavior eventually leading to the instability of the system.

Wisdom showed that the width of the chaotic region in the circular restricted problem is proportional to the ratio of the planet mass to the star mass to the power 2 / 7. Duncan et al. (1989) confirmed numerically that orbits closer than the Wisdom’s MMR overlap condition were indeed unstable. More recently, another stability criterion was proposed by Mustill & Wyatt (2012) to take into account the planet’s eccentricity. Deck et al. (2013) improved the two previous criteria by developing the resonant Hamiltonian for two massive, coplanar, low-eccentricity planets and Ramos et al. (2015) proposed a criterion of stability taking into account the second-order MMR in the restricted three-body problem.

While Deck’s criteria are in good agreement with numerical simulations (Deck et al. 2013) and can be applied to the three-body planetary problem, the case of circular orbits is still treated separately from the case of eccentric orbits. Indeed, the minimal distance imposed by the eccentric MMR overlap stability criterion vanishes with eccentricities and therefore cannot be applied to systems with small eccentricities. In this case, Mustill & Wyatt (2012) and Deck et al. (2013) use the criterion developed for circular orbits. A unified stability criterion for first-order MMR overlap had yet to be proposed.

In this paper, we propose in Sect. 2 a new derivation of the MMR overlap criterion based on the development of the three-body Hamiltonian by Delisle et al. (2012). We show in Sect. 3 how to obtain a unified criterion of stability working for both initially circular and eccentric orbits. In Sect. 4, we then use the defined stability criterion to limit the region where the dynamics can be considered to be secular and adapt the notion of AMD-stability thanks to the new limit of the secular dynamics. Finally we study in Sect. 5 how the modification of the AMD-stability definition affects the classification proposed in Laskar & Petit (2017).

2. The resonant Hamiltonian

The problem of two planets close to a first-order MMR on nearly circular and coplanar orbits can be reduced to a one-degree-of-freedom system through a sequence of canonical transformations (Wisdom 1986; Henrard et al. 1986; Delisle et al. 2012, 2014). We follow here the reduction of the Hamiltonian used in Delisle et al. (2012, 2014).

2.1. Averaged Hamiltonian in the vicinity of a resonance

Let us consider two planets of masses m1 and m2 orbiting a star of mass m0 in the plane. We denote the positions of the planets, ui, and the associated canonical momenta in the heliocentric frame, ˜ui\hbox{$\tu_i$}. The Hamiltonian of the system is (Laskar & Robutel 1995) ℋ̂=i=12(12˜ui2mi𝒢m0miui)+12˜u1+˜u22m0𝒢m1m2Δ12\begin{eqnarray} \hH&=& \sum_{i=1}^{2}\left(\Frac{1}{2}\Frac{\norm{\tu_i}^2}{m_i}-\G \Frac{m_0m_i}{u_i}\right)\nnb && + \frac{1}{2}\frac{\norm{\tu_1+\tu_2}^2}{m_0}-\G\frac{m_1m_2}{\Delta_{12}} \end{eqnarray}(1)where Δ12 = ∥ u1u2, and \hbox{$\G$} is the constant of gravitation. \hbox{$\hH$} can be decomposed into a Keplerian part \hbox{$\hK$} describing the motion of the planets if they had no masses and a perturbation part \hbox{$\eps\hH_1$} due to the influence of massive planets, 𝒦̂=i=1212˜ui2mi𝒢m0miuiεℋ̂1=12˜u1+˜u22m0𝒢m1m2Δ12·\begin{eqnarray} \hK&=&\sum_{i=1}^{2}\frac{1}{2}\frac{\norm{\tu_i}^2}{m_i}-\frac{\G m_0m_i}{u_i}\\ \eps\hH_1&=&\frac{1}{2}\frac{\norm{\tu_1+\tu_2}^2}{m_0}-\frac{\G m_1m_2}{\Delta_{12}}\cdot \end{eqnarray}The small parameter ε is defined as the ratio of the planet masses over the star mass ε=m1+m2m0·\begin{equation} \eps =\frac{m_1+m_2}{m_0} \cdot \end{equation}(4)Let us denote the angular momentum, =i=12ui˜ui\begin{equation} \vec{\hG}=\sum_{i=1}^{2}\u_i\wedge\tu_i \end{equation}(5)which is simply the sum of the two planets Keplerian angular momentum. Ĝ is a first integral of the system.

Following Laskar (1991), we express the Hamiltonian in terms of the Poincaré coordinates ℋ̂=𝒦̂+εℋ̂1(Λ̂i,i,i)=i=12μ2mi32Λ̂2i+εl,N2kZ2Cl,,k(Λ̂)􏽙i=12liiiieikiλi,\begin{eqnarray} \hH&=&\hK+\eps\hH_1(\hL_i,\hx_i,\bar{\hx}_i)\nnb &=& - \sum_{i=1}^2 \frac{\mu^2 m_i^3}{2\hL_i^2} + \epsilon\underset{k\in \Z^2}{\sum_{l,\bar l \in \N^2}}C_{l,\bar l,k}(\hL) \prod_{i=1}^2 \hx_i^{l_i} \bar{\hx}_i^{\bar{l}_i}\expo{\i k_i\lambda_i}, \end{eqnarray}(6)where \hbox{$\mu=\G m_0$} and for i = 1,2, Λ̂i=miμaii=Λ̂i1ei2i=Λ̂iii=ieiϖiλi=Mi+ϖi.\begin{eqnarray*} &&\hL_i=m_i\sqrt{\mu a_i}\\ &&\hG_i=\hL_i\sqrt{1-e_i^2}\\ &&\hC_i=\hL_i-\hG_i\\ &&\hx_i=\sqrt{\hC_i}\expo{-\i\varpi_i}\\ &&\lambda_i=M_i+\varpi_i. \end{eqnarray*}Here, Mi corresponds to the mean anomaly, ϖi to the longitude of the pericenter, ai to the semi-major axis and ei to the eccentricity of the Keplerian orbit of the planet i. Ĝi is the Keplerian angular momentum of planet i. We use the set of symplectic coordinates of the problem \hbox{$(\hL_i,\lambda_i,\hC_i,-\varpi_i)$}, or the canonically associated variables \hbox{$(\hL_i,\lambda_i,\hx_i,-\i \bar \hx_i)$}. The coefficients \hbox{$C_{l,\bar l,k}$} depend on \hbox{$\hL$} and the masses of the bodies. They are linear combinations of Laplace coefficients (Laskar & Robutel 1995). As a consequence of angular momentum conservation, the d’Alembert rule gives a relation on the indices of the non-zero \hbox{$C_{l,\bar l,k}$} coefficients i=12kili+i=0.\begin{equation} \sum_{i=1}^2 k_i-l_i+\bar l_i =0. \label{dalemb} \end{equation}(7)We study here a system with periods close to the first-order MMR p:p + 1 with p ∈ N. For periods close to this configuration, we have pn1 + (p + 1)n2 ≃ 0, where ni=μ2mi3/Λ̂3i\hbox{$n_i=\mu^2m_i^3/\hL_i^3$} is the Keplerian mean motion of the planet i.

2.1.1. Averaging over non-resonant mean-motions

Due to the p:p + 1 resonance, we cannot average on both mean anomalies independently. Therefore, there is no conservation of \hbox{$\hL_i$} as in the secular problem. However, the partial averaging over one of the mean anomaly gives another first integral. Following (Delisle et al. 2012), we consider the equivalent set of coordinates \hbox{$(\hL_i,M_i,\hG_i,\varpi_i)$}, and make the following change of angles (σM2)=(pp+101)(M1M2).\begin{equation} \left(\begin{array}{c} \sigma\\ M_2 \end{array}\right) = \left(\begin{array}{cc} -p &p+1\\ 0 & 1 \end{array}\right) \left(\begin{array}{c} M_1\\ M_2 \end{array}\right). \end{equation}(8)The actions associated to these angles are (Γ̂1Γ̂)=(1p0p+1p1)(Λ̂1Λ̂2)=(-1pΛ̂1p+1pΛ̂1+Λ̂2).\begin{equation} \left(\begin{array}{c} \hGa_1\\ \hGa \end{array}\right) = \left(\begin{array}{cc} -\frac{1}{p} &0\\ \frac{p+1}{p} & 1 \end{array}\right) \left(\begin{array}{c} \hL_1\\ \hL_2 \end{array}\right)=\left(\begin{array}{c} \frac{-1}{p}\hL_1\\ \frac{p+1}{p}\hL_1+\hL_2 \end{array}\right). \end{equation}(9)We can now average the Hamiltonian over M2 using a change of variables close to the identity given by the Lie series method. Up to terms of orders ε2, we can kill all the terms with indices not of the form \hbox{$C_{l,\bar l,-jp,j(p+1)}$}. In order to keep the notations light, we do not change the name of the variables after the averaging. We also designate the remaining coefficients \hbox{$C_{l,\bar l,-jp,j(p+1)}$} by the lighter expression \hbox{$C_{l,\bar l,j}$}. Since M2 does not appear explicitly in the remaining terms, Γ̂=p+1pΛ̂1+Λ̂2\begin{equation} {\hGa=\frac{p+1}{p}\hL_1+\hL_2} \end{equation}(10)is a first integral of the averaged Hamiltonian. The parameter \hbox{$p\hGa$} is often designed as the spacing parameter (Michtchenko et al. 2008) and has been used extensively in the study of the first-order MMR dynamics.

Expressed with the variables \hbox{$(\hL,\lambda,\hx,\bar \hx)$}, the Hamiltonian can be written ℋ̂av=i=12μ2mi32Λ̂2i\begin{eqnarray} \hH_{\mathrm{av}}&=& - \sum_{i=1}^2 \frac{\mu^2 m_i^3}{2\hL_i^2} \nnb &&+ \epsilon{\underset{j\in \Z}{\sum_{l,\bar l \in \N^2}}}C_{l,\bar l,j}(\hL) \hx_1^{l_1} \bar{\hx}_1^{\bar{l}_1}\hx_2^{l_2}\bar{\hx}_2^{\bar{l}_2}\expo{\i j ((p+1)\lambda_2-p\lambda_1)}, \label{Ham_av} \end{eqnarray}(11)where we dropped the terms of order ε2.

2.1.2. Poincare-like complex coordinates

Delisle et al. (2012) used a change of the angular coordinates in order to remove the exponential in the second term of Eq. (11) and use Ĝ and \hbox{$\hGa$} as actions. The new set of angles (θΓ,θG,σ1,σ2) is defined as (θΓθGσ1σ2)=(pp00pp+100pp+110pp+101)·(λ1λ2ϖ1ϖ2).\begin{equation} \left(\begin{array}{c} \theta_\Gamma\\ \theta_G\\ \sigma_1\\ \sigma_2 \end{array}\right) = \left(\begin{array}{cccc} p&-p&0&0\\ -p&p+1&0&0\\ -p&p+1&1&0\\ -p&p+1&0&1 \end {array} \right)\cdot\left(\begin{array}{c} \lambda_1\\ \lambda_2\\ -\varpi_1\\ -\varpi_2 \end{array}\right). \end{equation}(12)The conjugated actions are (Γ̂12)=(p+1p10011-1-100100001)·(Λ̂1Λ̂212).\begin{equation} \left(\begin{array}{c} \hGa\\ \hG\\ \hC_1\\ \hC_2 \end{array}\right) = \left(\begin{array}{cccc} \frac{p+1}{p} & 1 & 0 & 0\\ 1 & 1 & -1 & -1\\ 0 & 0 & 1 & 0\\ 0&0&0&1 \end{array}\right)\cdot\left(\begin{array}{c} \hL_1\\ \hL_2\\ \hC_1\\ \hC_2 \end{array}\right). \end{equation}(13)We define Xˆi=ieiσi\hbox{$\hat{\x}_i=\sqrt{\hC_i}\expo{\i\sigma_i}$}, the complex coordinates associated to (Ĉi,σi). Since we have Xˆi=eiθGi\hbox{$\hat \x_i=\hx_i\expo{\i\theta_G}$}, the terms of the perturbation in Eq. (11) can be written 􏽙i=12liiiieijθG=􏽙i=12XˆliiX¯iiei(li+i+j)θG=􏽙i=12XˆliiX¯ii;\begin{eqnarray} \prod_{i=1}^{2}\hat{x}_i^{l_i}\bar{\hat{x}}_i^{\bar{l}_i} \expo{\i j\theta_G}&=& \prod_{i=1}^{2}\hat{\x}_i^{l_i}\bar{\hat{\x}}_i^{\bar{l}_i}\expo{\i (-l_i+\bar l_i +j)\theta_G}\nnb &=& \prod_{i=1}^{2}\hat{\x}_i^{l_i}\bar{\hat{\x}}_i^{\bar{l}_i}; \end{eqnarray}(14)the last equality resulting from the d’Alembert rule (7). \hbox{$\hGa$} and Ĝ are conserved and the averaged Hamiltonian no longer depends on the angles θΓ and θGℋ̂av=i=12μ2mi32Λ̂2i+εl,N2jZCl,,j(Λ̂)􏽙i=12XˆliiX¯ii.\begin{equation} \hH_{\mathrm{av}}= - \sum_{i=1}^2 \frac{\mu^2 m_i^3}{2\hL_i^2} + \epsilon{\underset{j\in \Z}{\sum_{l,\bar l \in \N^2}}}C_{l,\bar l,j}(\hL) \prod_{i=1}^2 \hat{\x}_i^{l_i} \bar{\hat{\x}}_i^{\bar{l}_i}. \end{equation}(15)\hbox{$\hL_1$}and \hbox{$\hL_2$} can be expressed as functions of the new variables and we have Λ̂1=p(+Γ̂)Λ̂2=(p+1)(+)pΓ̂,\begin{eqnarray} \hL_1 &=&-p(\hC+\hG-\hGa)\\ \hL_2 &=&(p+1)(\hC+\hG) -p\hGa, \end{eqnarray}where Ĉ = Ĉ1 + Ĉ2 is the total AMD of the system. Up to the value of the first integrals \hbox{$\hGa$} and Ĝ, the system now has two effective degrees of freedom.

2.2. Computation of the perturbation coefficients

We now truncate the perturbation, keeping only the leading-order terms. Since we consider the first-order MMR, the Hamiltonian contains some linear terms in Xi. Therefore the secular terms are neglected since they are at least quadratic. Moreover, the restriction to the planar problem is justified since the inclination terms are at least of order two.

We follow the method described in Laskar (1991) and Laskar & Robutel (1995) to determine the expression of the perturbation \hbox{$\hH_1$}. The details of the computation are given in Appendix A. Since we compute an expression at first order in eccentricities and ε, the semi major axis and in particular their ratio, α=a1a2,\begin{equation} \alpha=\frac{a_1}{a_2}, \end{equation}(18)are evaluated at the resonance. At the first order, the perturbation term \hbox{$\hH_1$} has for expression εℋ̂1=1(Xˆ1+X¯1)+2(Xˆ2+X¯2),\begin{equation} \eps\hH_1=\hat R_1(\hat \x_1+\bar{\hat \x}_1)+\hat R_2(\hat\x_2+\bar{\hat\x}_2), \end{equation}(19)where 1=εγ1+γμ2m23Λ̂22122Λ̂1r1(α)\begin{equation} \hat R_1 = -\epsilon\frac{\gamma}{1+\gamma}\frac{\mu^2m_2^3}{\hL_2^2}\frac{1}{2}\sqrt{\frac{2}{\hL_1}}r_1(\alpha)\vspace*{-3mm} \end{equation}(20)and 2=εγ1+γμ2m23Λ̂22122Λ̂2r2(α)\begin{equation} \hat R_2 = -\epsilon\frac{\gamma}{1+\gamma}\frac{\mu^2m_2^3}{\hL_2^2}\frac{1}{2}\sqrt{\frac{2}{\hL_2}}r_2(\alpha) \end{equation}(21)with γ = m1/m2, r1(α)=andr2(α)=α4(3b3/2(p1)(α)2αb3/2(p)(α)b3/2(p+1)(α))\begin{eqnarray} r_1(\alpha)&=&-\frac{\alpha}{4}\left(3\lc{3/2}{p}{\alpha}-2\alpha\lc{3/2}{p+1}{\alpha}-\lc{3/2}{p+2}{\alpha}\right), \label{coef_r1} \\ \mathrm{and\ \ }&\nnb r_2(\alpha)&=&\frac{\alpha}{4}\left(3\lc{3/2}{p-1}{\alpha}-2\alpha\lc{3/2}{p}{\alpha}-\lc{3/2}{p+1}{\alpha}\right)\nnb &&\quad +\frac{1}{2}\lc{1/2}{p}{\alpha}. \label{coef_r2} \end{eqnarray}In the two previous expressions, bs(k)(α)\hbox{$\lc{s}{k}{\alpha}$} are the Laplace coefficients that can be expressed as bs(k)(α)=1πππcos()(12αcosφ+α2)sdφ\begin{equation} \lc{s}{k}{\alpha}=\frac{1}{\pi}\int_{-\pi}^{\pi}\frac{\cos(k\phi)}{\left(1-2\alpha\cos\phi+\alpha^2\right)^s}\d\phi \label{Lapcoef} \end{equation}(24)for k> 0. For k = 0, a 1 / 2 factor has to be added in the second-hand member of (24).

For p = 1, it should be noted that a contribution from the kinetic part should be added (Appendix A and Delisle et al. 2012) 1,i=μ2m12m222m0Λ̂1Λ̂22Λ̂2(Xˆ2+X¯2).\begin{equation} \H_{1,i}=\frac{\mu^2 m_1^2m_2^2}{2m_0\hL_1\hL_2}\sqrt{\frac{2}{\hL_2}}(\hat \x_2+\bar{\hat \x}_2). \end{equation}(25)Using the expression of α at the resonance p:p + 1, α0=(pp+1)2/3,\begin{equation} \alpha_0=\left(\frac{p}{p+1}\right)^{2/3}, \end{equation}(26)we can give the asymptotic development of the coefficients r1 and r2 for p → + ∞ (see Appendix A.1). The equivalent is r1~r2~K1(2/3)+2K0(2/3)π(p+1);\begin{equation} -r_1 \sim r_2 \sim \frac{K_1(2/3)+2K_0(2/3)}{\pi}(p+1); \label{r_equi} \end{equation}(27)where Kν(x) is the modified Bessel function of the second kind. We note r the numerical factor of the equivalent (27), we have r=K1(2/3)+2K0(2/3)π=0.80199.\begin{equation} r= \frac{K_1(2/3)+2K_0(2/3)}{\pi}= 0.80199 . \label{r_num} \end{equation}(28)For the resonant coefficients r1 and r2, Deck et al. (2013) used the expressions fp + 1,27(α) and fp + 1,31(α) given in Murray & Dermott (1999, pp. 539556). The expressions (22) and (23) are similar to fp + 1,27(α) and fp + 1,31(α) up to algebraic transformations using the relations between Laplace coefficients (Laskar & Robutel 1995). In their computations, Deck et al. used a numerical fit of the coefficients for p = 2 to 150 and obtained fp+1,27~fp+1,31~0.802p.\begin{equation} -f_{p+1,27}\sim f_{p+1,31}\sim0.802p. \end{equation}(29)We obtain the same numerical factor r through the analytical development of the functions r1 and r2.

2.3. Renormalization

So far, the Hamiltonian has two degrees of freedom (Xˆ1,X¯1,Xˆ2,X¯2)\hbox{$(\hat \x_1,\bar{ \hat \x}_1,\hat \x_2,\bar{\hat \x}_2)$} and depends on two parameters Ĝ and \hbox{$\hGa$}. As shown in Delisle et al. (2012), the constant \hbox{$\hGa$} can be used to scale the actions, the Hamiltonian and the time without modifying the dynamics. We define Λi=Λ̂i/Γ̂,G=/Γ̂,Ci=i/Γ̂,Xi=Xˆi/Γ̂,=Γ̂2ℋ̂,t=/Γ̂3.\begin{eqnarray*} &&\Lambda_i =\hL_i/\hGa,\\ &&G =\hG/\hGa,\\ &&C_i =\hC_i/\hGa,\\ &&\x_i =\hat \x_i/\sqrt{\hGa},\\ &&\H =\hGa^2\hH,\\ &&t =\hat t/\hGa^3. \end{eqnarray*}With this change of variables, the new Hamiltonian no longer depends on \hbox{$\hGa$}.

The shape of the phase space is now only dependent on the first integral G. However, G does not vanish for the configuration around which the Hamiltonian is developed: the case of two resonant planets on circular orbits. To be able to develop the Keplerian part in power of the system’s parameter, we define ΔG = G0G, the difference in angular momentum between the circular resonant system and the actual configuration. We have G0=Λ1,0+Λ2,0,\begin{equation} G_0=\Loz+\Ltz, \end{equation}(30)where Λ1,0 and Λ2,0 are the value of Λ1 and Λ2 at resonance. By definition, we have Λ1,0Λ2,0=γ(pp+1)1/3=γα0.\begin{equation} \frac{\Loz}{\Ltz}=\gamma\left(\frac{p}{p+1}\right)^{1/3}=\gamma\sqrt{\alpha_0}. \end{equation}(31)Moreover, we can express Λ1,0 as a function of the ratios α0 and γ, Λ1,0=Λ̂1,0Γ̂0=1(p+1p)+Λ2,0Λ1,0=(pp+1)γγ+α0·\begin{equation} \Loz=\frac{\hat\Lambda_{1,0}}{\hat\Gamma_0} =\frac{1}{\left(\frac{p+1}{p}\right)+\frac{\Ltz}{\Loz}} = \left(\frac{p}{p+1}\right)\frac{\gamma}{\gamma+\alpha_0}\cdot \end{equation}(32)Similarly, Λ2,0 can be expressed as Λ2,0=α0α0+γ·\begin{equation} \Ltz=\frac{\alpha_0}{\alpha_0+\gamma}\cdot \end{equation}(33)Since G0 is constant, ΔG is also a first integral of . From now on, we consider ΔG as a parameter of the two-degrees-of-freedom (X1,X2) Hamiltonian . The Keplerian part depends on the coordinates Xi through the dependence of Λi in C.

Λ1and Λ2 can be expressed as functions of the Hamiltonian coordinates and their value at the resonance, Λ1=Λ1,0p(CΔG)Λ2=\begin{eqnarray} \Lambda_1&=&\Loz-p(C-\DG)\nnb \Lambda_2&=&\Ltz+(p+1)(C-\DG). \label{Li} \end{eqnarray}(34)

2.4. Integrable Hamiltonian

The system can be made integrable by a rotation of the coordinates Xi (Sessin & Ferraz-Mello 1984; Henrard et al. 1986; Delisle et al. 2014). We introduce R and φ such that R1=Rcos(φ)andR2=Rsin(φ).\begin{equation} R_1=R\cos(\phi) \quad \mathrm{and} \quad R_2=R\sin(\phi). \end{equation}(35)We have R2=R12+R22\hbox{$R^2=R_1^2+R_2^2$} and tan(φ) = R2/R1. If we note φ the rotation of angle φ we define y such that X= ℛφy. We still have \hbox{$C=\sum y_i\bar{y}_i$} so the only change in the Hamiltonian is the perturbation term =𝒦(C,ΔG)+R(y1+1)=𝒦(C,ΔG)+2RI1cos(θ1),\begin{eqnarray} \H&=&\K(C,\DG)+R(y_1+\bar{y}_1)\nnb &=&\K(C,\DG)+2R\sqrt{I_1}\cos(\theta_1), \end{eqnarray}(36)where (I,θ) are the action-angle coordinates associated to y. With these coordinates, I2 is a first integral. R has for expression R2=(εγ1+γμ2m23Λ2,02)2(r1(α0)22Λ1,0+r2(α0)22Λ2,0)·\begin{equation} R^2=\left(\frac{\eps\gamma}{1+\gamma}\frac{\mu^2m_2^3}{\Ltz^2}\right)^2 \left(\frac{r_1(\alpha_0)^2}{2\Loz}+\frac{r_2(\alpha_0)^2}{2\Ltz}\right)\cdot \end{equation}(37)We now develop the Keplerian part around the circular resonant configuration in series of (C−ΔG) thanks to the relations (34). We develop the Keplerian part to the second order in (C−ΔG) since the first order vanishes (see Appendix B). The computation of the second-order coefficient gives 12𝒦2=32μ2m23(γ+α0)5γα04(p+1)2.\begin{equation} \frac{1}{2}\K_2=-\frac{3}{2}\mu^2m_2^3\frac{(\gamma+\alpha_0)^5}{\gamma \alpha_0^4}(p+1)^2. \end{equation}(38)We drop the constant part of the Hamiltonian and obtain the following expression =𝒦22(I1+I2ΔG)2+2RI1cos(θ1).\begin{equation} \H=\frac{\K_2}{2}(I_1 +I_2 -\DG)^2 +2R\sqrt{I_1}\cos(\theta_1). \end{equation}(39)We again change the time scale by dividing the Hamiltonian by \hbox{$-\K_2$} and multiplying the time by this factor. We define χ=2R𝒦2\begin{equation} \chi=-\frac{\sqrt{2}R}{\K_2} \label{chi_def} \end{equation}(40)and after simplification, χ=13ε(γα0)3/2(1+γ)(α0+γ)2r2(α0)(p+1)2f(p)=r3εγ3/2(1+γ)31p+1+O((p+1)-2),\begin{eqnarray} \chi&=&\frac{1}{3}\frac{\eps(\gamma\alpha_0)^{3/2}}{(1+\gamma)(\alpha_0+\gamma)^2}\frac{r_2(\alpha_0)}{(p+1)^2}f(p)\\ &=&\frac{r}{3}\frac{\eps\gamma^{3/2}}{(1+\gamma)^3}\frac{1}{p+1}+\O((p+1)^{-2}), \end{eqnarray}where r was defined in (28) and f(p) = 1 + O(p-1) is a function of p and γf(p)=1α0α0+γ(1p+1p(r1r2)2)·\begin{equation} f(p)=\sqrt{1-\frac{\alpha_0}{\alpha_0+\gamma}\left(1-\frac{p+1}{p}\left(\frac{r_1}{r_2}\right)^2\right)}\cdot \end{equation}(43)At this point the Hamiltonian can be written =12(I1+I2ΔG)2+χ2I1cos(θ1)\begin{equation} \H=-\frac{1}{2}(I_1+I_2-\DG)^2+\chi\sqrt{2I_1}\cos(\theta_1) \end{equation}(44)and has almost its final form. We divide the actions and the time by χ2 / 3 and the Hamiltonian by χ4 / 3 and we obtain A=12(0)22cos(θ1),\begin{equation} \H_{\rm A}=-\frac{1}{2}(\I-\I_0)^2-\sqrt{2\I}\cos(\theta_1), \label{ham_I} \end{equation}(45)where =χ2/3I1and0=χ2/3(ΔGI2).\begin{equation} \I=\chi^{-2/3}I_1\quad \mathrm{and}\quad \I_0=\chi^{-2/3}(\DG-I_2). \label{I} \end{equation}(46)

2.5. Andoyer Hamiltonian

We now perform a polar to Cartesian change of coordinates with X=2cos(θ1),Y=\begin{eqnarray} X&=&-\sqrt{2\I}\cos(\theta_1),\nnb Y &=&\sqrt{2\I}\sin(\theta_1). \label{Itet_to_XY} \end{eqnarray}(47)We change the sign of X in order to have the same orientation as (Deck et al. 2013). Doing so, the Hamiltonian becomes A=12(12(X2+Y2)0)2X.\begin{equation} \H_{\rm A}=-\frac{1}{2}\left(\frac{1}{2}(X^2+Y^2)-\I_0\right)^2 -X. \label{ham_And} \end{equation}(48)We recognize the second fundamental model of resonance (Henrard & Lemaitre 1983). This Hamiltonian is also called an Andoyer Hamiltonian (Ferraz-Mello 2007). We show in Fig. 1 the level curves of the Hamiltonian A for 0 = 3.

The fixed points of the Hamiltonian satisfy the equations =Y(12(X2+Y2)0)=0=X(12(X2+Y2)0)1=0,\begin{eqnarray} \dot{X}&=&Y\left(\frac{1}{2}(X^2+Y^2)-\I_0\right)=0\\ \dot{Y}&=&-X\left(\frac{1}{2}(X^2+Y^2)-\I_0\right) -1=0, \end{eqnarray}which have for solutions Y = 0 and the real roots of the cubic equation in XX320X+2=0.\begin{equation} X^3-2\I_0X+2=0. \label{cubiceq} \end{equation}(51)Equation (51) has three solutions (Deck et al. 2013) if its determinant Δ=32(0327/8)>0\hbox{$\Delta=32(\I_0^3-27/8)>0$}, i.e. 0> 3 / 2. In this case, we note these roots X1<X2<X3. X1 and X2 are elliptic fixed points while X3 is a hyperbolic one.

thumbnail Fig. 1

Hamiltonian A (48) represented with the saddle point and the separatrices in red.

3. Overlap criterion

As seen in the previous section, the motion of two planets near a first-order MMR can be reduced to an integrable system for small eccentricities and planet masses. However, if two independent combinations of frequencies are close to zero at the same time, the previous reduction is not valid anymore. Indeed, we must then keep, in the averaging, the terms corresponding to both resonances. While for a single resonant term the system is integrable, overlapping resonant islands will lead to chaotic motion (Chirikov 1979).

Wisdom (1980) first applied the resonance overlap criterion to the first-order MMR and found, in the case of the restricted three-body problem with a circular planet, that the overlap occurs for 1α<1.3ε2/7.\begin{equation} 1-\alpha<1.3\eps^{2/7}. \end{equation}(52)Through numerical simulations, (Duncan et al. 1989) confirmed Wisdom’s expression up to the numerical coefficient {(1−α< 1.5 ε2 / 7)}. A similar criterion was then developed by Mustill & Wyatt (2012) for an eccentric planet, they found that for an eccentricity above 0.2 ε3 / 7, the overlap region satisfies the criterion 1−α< 1.8(εe)1 / 5. Deck et al. (2013) adapted those two criteria to the case of two massive planets, finding little difference up to the numerical coefficients. However, they treat two different situations; the case of orbits initially circular and the case of two eccentric orbits. As in Mustill & Wyatt (2012), the eccentric criterion proposed can be used for eccentricities verifying e1 + e2 ≳ 1.33 ε3 / 7. We show here that the two Deck’s criteria can be obtained as the limit cases of a general expression.

Table 1

Summary of the diverse notations of AMD used in this paper.

3.1. Width of the libration area

Using the same approach as Wisdom (1980), Deck et al. (2013), we have to express the width of the resonant island as a function of the orbital parameters and compare it with the distance between the two adjacent centers of MMR.

In the (X,Y) plane, the center of the resonance is located at the point of coordinates (X1,0). The width of the libration area is defined as the distance between the two separatrices on the Y = 0 axis. It is indeed the direction where the resonant island is the widest.

We note X1,X2\hbox{$X_1^*,X_2^*$} the abscissas of the intersections between the separatrices and the Y = 0 axis. Relations between X1,X2\hbox{$X_1^*,X_2^*$}, and X3 can be derived (see Appendix C.1) and we obtain the expressions of X1\hbox{$X^*_1$} and X2\hbox{$X^*_2$} as functions of X3 (Ferraz-Mello 2007; Deck et al. 2013). We have X1=X32X3,X2=X3+2X3·\begin{eqnarray} X_1^*&=&-X_3-\frac{2}{\sqrt{X_3}},\\ X_2^*&=&-X_3+\frac{2}{\sqrt{X_3}}\cdot \end{eqnarray}The width of the libration zone δX depends solely on the value of X3, δX=4X3·\begin{equation} \delta X=\frac{4}{\sqrt{X_3}}\cdot \end{equation}(55)In order to study the overlap of resonance islands, we need the width of the resonance in terms of α. Let us invert the previous change of variables in order to express the variation of α in terms of the variation of X. In this subsection, for any function Q(X), we note δQ=|Q(X1)Q(X2)|.\begin{equation} \delta Q=|Q(X_1^*)-Q(X_2^*)|. \end{equation}(56)The computation of δ (47) is straightforward from the computation of δXδ=|X122X222|=12|X2+X1||X2X1|=X3δXδ=4X3.\begin{eqnarray} \delta \I&=&\left|\frac{{X_1^*}^2}{2}-\frac{{X_2^*}^2}{2}\right|\nnb &=&\frac{1}{2}\left|{X_2^*}+{X_1^*}\right|\left|{X_2^*}-{X_1^*}\right|\nnb &=&X_3\delta X\nnb \delta \I&=&4\sqrt{X_3}. \end{eqnarray}(57)We then directly deduce δI1 = χ2 / 3δ from Eq. (46). Since I2 and ΔG are first integrals, the variation of Λi only depends on δI1. And finally, since we have α=(γ-1Λ1Λ2)2,\begin{equation} \alpha=\left(\gamma^{-1}\frac{\Lambda_1}{\Lambda_2}\right)^2, \end{equation}(58)αcan be developed to the first order in (C−ΔG) thanks to Eq. (34). This development gives α=α0(12(α0+γ)2γα0(p+1)(I1χ2/30)).\begin{equation} \alpha=\alpha_0\left(1-\frac{2(\alpha_0+\gamma)^2}{\gamma\alpha_0}(p+1)(I_1-\chi^{2/3}\I_0)\right). \end{equation}(59)The width of the resonance in terms of α is then directly related to X3 through δα=α08r2/332/3ε2/3(p+1)1/3X3+o(ε2/3(p+1)1/3).\begin{equation} \delta \alpha=\alpha_0\frac{8r^{2/3}}{3^{2/3}}\eps^{2/3}(p+1)^{1/3}\sqrt{X_3}+\o\left (\eps^{2/3}(p+1)^{1/3} \right ). \label{width} \end{equation}(60)The computation of the width of resonance is thus reduced to the computation of the root X3 as a function of the parameters. It should also be remarked that at the first order, the width of resonance does not depend on the mass ratio γ.

3.2. Minimal AMD of a resonance

We are now interested in the overlap of adjacent resonant islands. Planets trapped in the chaotic zone created by the overlap will experience variations of their actions eventually leading to collisions.

For a configuration close to a given resonance p:p + 1, the AMD can evolve toward higher values if the original value places the system in a configuration above the inner separatrix, eventually leading the planets to collision or chaotic motion in case of MMR overlap. On the other hand, if the initial AMD of the planets forces them to remain in the inner circulation region of the overlapped MMR islands, the system will remain stable in regards to this criterion. Since C = I1 + I2, and I2 is a first integral, we define the minimal AMD of a resonance1Cmin(p) as the minimal value of I1 to enter the resonant island given ΔGI2. Two cases must be discussed:

  • the point I1 = 0 is already in the libration zone and then Cmin = 0;

  • the point I1 = 0 is in the inner circulation zone and then we have

Cmin=I1(X2)=χ2/32(X32X3)2·\begin{equation} \Cm=I_1(X_2^*)=\frac{\chi^{2/3}}{2}\left(X_3-\frac{2}{\sqrt{X_3}}\right)^2 \cdot \label{Cmin_def} \end{equation}(61)In the second case, we have an implicit expression of X3 depending on Cminχ1/32Cmin=X32X3,\begin{equation} \chi^{-1/3}\sqrt{2\Cm}=X_3-\frac{2}{\sqrt{X_3}}, \label{impliX3} \end{equation}(62)where χ was defined in Eq. (40). In other words, there is a one-to-one correspondence between Cmin Eq. (61) and the Hamiltonian parameter 0 for Cmin> 0. The shape of the resonance island is completely described by Cmin.

We can also use the definition of Cmin to give an expression depending on the system parameters Cmin=I1=u11=|R1RΛ1,02X1+R2RΛ2,02X2|2=(R1R)2Λ1,02|X1|R2R1|Λ2,0Λ1,0X2|2\begin{eqnarray} \Cm&=&I_1=u_1\bar{u}_1\nnb &=&\left|\frac{R_1}{R}\sqrt{\frac{\Loz}{2}}\X_1+\frac{R_2}{R}\sqrt{\frac{\Ltz}{2}}\X_2\right|^2\nnb &=&\left(\frac{R_1}{R}\right)^2\frac{\Loz}{2}\left|\X_1-\left|\frac{R_2}{R_1}\right|\sqrt{\frac{\Ltz}{\Loz}}\X_2\right|^2\nnb &\simeq&\frac{\alpha_0\gamma}{2(\alpha_0+\gamma)^2}(c_1^2+c_2^2-2c_1c_2\cos\Delta\varpi), \label{Cmin} \end{eqnarray}(63)where ci=211ei2=|Xi|\hbox{$c_i=\sqrt{2}\sqrt{1-\sqrt{1-e_i^2}}=|\X_i|$}. We note cmin=c12+c222c1c2cosΔϖ,\begin{equation} {\cm=c_1^2+c_2^2-2c_1c_2\cos\Delta\varpi,} \label{cm} \end{equation}(64)the reduced minimal AMD. We can use the expression (63) to compute the quantity χ1/32Cmin\hbox{$\chi^{-1/3}\sqrt{2\Cm}$} appearing in Eq. (62) χ1/32Cmin31/3r1/3(p+1)1/3ε1/3cmin+o(p1/3).\begin{equation} \chi^{-1/3}\sqrt{2\Cm}\simeq\frac{3^{1/3}}{r^{1/3}}\frac{(p+1)^{1/3}}{\eps^{1/3}}\sqrt{\cm} +\o(p^{1/3}). \label{Cm(cm)} \end{equation}(65)The function Cmin(X3) (Eq. (61)) is plotted in Fig. 2 with the two approximations used by Deck et al. (2013) to obtain the width of the resonance. For Cminχ2 / 3 or Cmin close to zero, the relation can be simplified and we obtain X3~X3=\begin{eqnarray} X_3&\sim&\chi^{-1/3}\sqrt{2\Cm}\label{impX3_highecc}\\ X_3&=&2^{2/3}+\frac{2}{3}\chi^{-1/3}\sqrt{2\Cm} +\O(\chi^{-2/3}\Cm)\label{impX3_lowecc}. \end{eqnarray}We can use the developments (66) and (67) in order to compute the width of the resonance in these two cases (see Appendix C). It should be noted as well that for Cmin = 0, we have X3 = 22 / 3.

thumbnail Fig. 2

Relation Eq. (62) between X3 and Cmin Eq. (61) and two different approximations. In red, the approximation used by Deck et al. (2013) for eccentric orbits and in purple the constant evaluation used for circular orbits.

3.3. Implicit overlap criterion

The overlap of MMR can be determined by finding the first integer p such that the sum of the half-width of the resonances p:p + 1 and p + 1:p + 2 is larger than the distance between the respective centers of these two resonances (Wisdom 1980; Deck et al. 2013) Δαα0,p12(δαpα0,p+δαp+1α0,p+1),\begin{equation} \frac{\Da}{\apz{p}}\lesssim \frac{1}{2}\left(\frac{\da_{p}}{\apz{p}}+\frac{\da_{p+1}}{\apz{p+1}}\right), \label{crit_gen} \end{equation}(68)where Δα is the distance between the two centers and δαk corresponds to the width of the resonance k:k + 1.

Up to terms of order ε2 / 3, the center of the resonance island p:p + 1 is located at the center of the resonance of the unperturbed Keplerian problem, α0,p = (p/ (p + 1))2 / 3. We develop α0,p for p ≫ 1α0,p=(pp+1)2/3=\begin{eqnarray} \alpha_{0,p}&=&\left(\frac{p}{p+1}\right)^{\nicefrac{2}{3}}\nnb &=&1-\frac{2}{3(p+1)}-\frac{1}{9(p+1)^2}+\O((p+1)^{-3}). \label{alpha_p} \end{eqnarray}(69)Therefore, we have at second order in pΔαα0,p=231(p+1)2·\begin{equation} \frac{\Da}{\alpha_{0,p}}=\frac{2}{3}\frac{1}{(p+1)^2} \cdot \label{Da} \end{equation}(70)We can use the implicit expression (62) of X3 as a function of cmin\hbox{$\sqrt{\cm}$} (Eq. (64)) in order to derive an overlap criterion independent of approximations on the value of Cmin. Equating the general width of resonance (60) with the distance between to adjacent centers (70) and isolating X3 gives X3=34/3144r4/3ε4/3(p+1)14/3.\begin{equation} X_3=\frac{3^{4/3}}{144r^{4/3}}\epsilon^{-4/3}(p+1)^{-14/3}. \end{equation}(71)We can inject this expression of X3 into (62), and using Eq. (65), cmin=148(p+1)58(p+1)2.\begin{equation} \sqrt{\cm}=\frac{1}{48r\epsilon(p+1)^5}-8r\epsilon(p+1)^2. \end{equation}(72)Using the first order expression of (p + 1) as a function of α, 1p+1=32(1α)\begin{equation} \frac{1}{p+1}=\frac{3}{2}(1-\alpha) \end{equation}(73)we obtain an implicit expression of the overlap criterion cmin=34(1α)529329(1α)2·\begin{equation} \sqrt{\cm}=\frac{3^4(1-\alpha)^5}{2^9r\epsilon}-\frac{32r\epsilon}{9(1-\alpha)^2} \cdot \label{impli_crit} \end{equation}(74)

3.4. Overlap criterion for circular orbits

The implicit expression (74) can be used to find the criteria proposed by Deck et al. (2013) for circular and eccentric orbits. Let us first obtain the circular criterion by imposing cmin = 0 in Eq. (74) 36(1α)7=214r2ε2.\begin{equation} 3^6(1-\alpha)^7=2^{14}r^2\epsilon^2. \end{equation}(75)We can express 1−α as a function of ε and we obtain 1αoverlap=4r2/736/7ε2/7=1.46ε2/7.\begin{equation} 1-\alpha_{\mathrm{overlap}}=\frac{4 r^{2/7}}{3^{6/7}}\epsilon^{2/7}=1.46 \epsilon^{2/7}. \label{circ_crit} \end{equation}(76)The exponent 2/7 was first proposed by Wisdom (1980) and the numerical factor 1.46 is similar to the one found by Deck et al. (2013).

thumbnail Fig. 3

Representation of the MMR overlap criteria. The dotted lines correspond to the criteria proposed by Deck et al. (2013), and the collision curve is the approximation of the collision curve for α → 1. We represented in transparent green (p odd) and blue (p even) the first p:p + 1 MMR islands to show the agreement between the proposed overlap criterion and the actual intersections. In this figure, ε = 10-6.

3.5. Overlap criterion for high-eccentricity orbits

For large eccentricity, Deck et al. (2013) proposes a criterion based on the development (66) of Eq. (62). This criterion is obtained from Eq. (74) by ignoring the second term of the right-hand side which leads to 29cmin=34(1α)5.\begin{equation} 2^9r\epsilon\sqrt{\cm}=3^4(1-\alpha)^5. \end{equation}(77)Isolating 1−α gives 1α=29/534/5r1/5ε1/5cmin1/10=1.38ε1/5cmin1/10.\begin{equation} 1-\alpha=\frac{2^{9/5}}{3^{4/5}}r^{1/5} \epsilon^{1/5}\cm^{1/10}=1.38 \epsilon^{1/5}\cm^{1/10}. \label{hecc_crit} \end{equation}(78)This result is also similar to Deck’s one. For small cmin, the criterion (78) is less restrictive than the criterion (76) obtained for circular orbits. The comparison of these two overlap criteria provides a minimal value of cmin for the validity of the eccentric criterion cmin=1.33ε3/7.\begin{equation} \sqrt{\cm}=1.33\eps^{3/7}. \end{equation}(79)

3.6. Overlap criterion for low-eccentricity orbits

For smaller eccentricities, we can develop Eq. (74) for small cmin\hbox{$\sqrt{\cm}$} and α close to αcir = 1−1.46ε2 / 7, the critical semi major axis ratio for the circular overlap criterion (76). We have 3229(1α)2cmin=36(1α)7214r2ε2.\begin{equation} 3^22^9r\eps(1-\alpha)^2\sqrt{\cm}=3^6(1-\alpha)^7-2^{14}r^2\epsilon^2. \end{equation}(80)We develop the right-hand side at the first order in (αcirα) and evaluate the left-hand side for α = αcir and after some simplifications obtain αcirα=297×34cmin(1αcir)4·\begin{equation} \acir-\alpha=\frac{2^9r\eps}{7\times3^4}\frac{\sqrt{\cm}}{(1-\acir)^4} \cdot \end{equation}(81)We inject the expression of αcir into this equation and obtain the following development of the overlap criterion for low eccentricity: αcirα=2cmin7×34/7r1/7ε1/7=0.157cminε1/7·\begin{equation} \acir-\alpha=\frac{2\sqrt{\cm}}{7\times3^{4/7}r^{1/7}\epsilon^{1/7}}=0.157\frac{\sqrt{\cm}}{\epsilon^{1/7}} \cdot \end{equation}(82)This development remains valid for small enough cmin\hbox{$\sqrt{\cm}$} if αcirα ≪ 1−αcir, which can be rewritten 0.157ε1/7cmin1.46ε2/7,\begin{equation} 0.157\eps^{-1/7}\sqrt{\cm}\ll1.46\eps^{2/7}, \end{equation}(83)which leads to cmin9.30ε3/7.\begin{equation} \sqrt{\cm}\ll 9.30 \eps^{3/7}. \end{equation}(84)It is worth noting that the low-eccentricity approximation allows to cover the range of eccentricities where the criterion (78) is not applicable, since both boundaries depend on the same power of ε.

We plot in Fig. 3 the overlap criteria (74) for ε = 10-6, the two approximations (76) and (78) from Deck et al. (2013), as well as the collision condition used in Laskar & Petit (2017) approximated for α → 1, 1αe1+e2cmin.\begin{equation} 1-\alpha\simeq e_1+e_2\simeq\sqrt{\cm}. \end{equation}(85)We also plot the first MMR islands in order to show the agreement between the proposed criterion and the actual intersections. We see that for high eccentricities, and large 1−α, the system can verify the MMR overlap stability criterion while allowing for collision between the planets. For small α, the MMR overlap criterion alone cannot account for the stability of the system.

4. Critical AMD and MMR

4.1. Critical AMD in a context of resonance overlap

In Laskar & Petit (2017), we present the AMD-stability criterion based on the conservation of AMD. We assume the system dynamics to be secular chaotic. As a consequence the averaged semi-major axis and the total averaged AMD are conserved. Moreover, in this approximation the dynamics is limited to random AMD exchanges between planets with conservation of the total AMD. Based on these assumptions, collisions between planets are possible only if the AMD of the system can be distributed such that the eccentricities of the planets allow for collisions. Particularly, for each pair of adjacent planets, there exists a critical AMD, noted Cc(α,γ), such that for smaller AMD, collisions are forbidden.

The critical AMD was determined thanks to the limit collision condition α(1+e1)=1e2.\begin{equation} \alpha(1+e_1)=1-e_2. \label{colli_cond} \end{equation}(86)However, in practice, the system may become unstable long before orbit intersections; in particular the secular assumption does not hold if the system experiences chaos induced by MMR overlap. We can, though, consider that if the islands do not overlap, the AMD is, on average, conserved on timescales of order ε− 2 / 3 (i.e., of the order of the libration timescales). Therefore, the conservation, on average, of the AMD is ensured as long as the system adheres to the above criteria for any distribution of the AMD between planets. Based on the model of Laskar & Petit (2017), we compute a critical AMD associated to the criterion (74).

We consider a pair as AMD-stable if no distribution of AMD between the two planets allows the overlap of MMR. A first remark is that no pair can be considered as AMD-stable if α>αcir, because in this case, even the circular orbits lead to MMR overlap. Let us write the criterion (74) as a function of α and ε; cmin=g(α,ε),\begin{equation} \sqrt{\cm}=g(\alpha,\eps), \end{equation}(87)where g(α,ε)=34(1α)529329(1α)2α<αcir,=0α>αcir.\begin{eqnarray} g(\alpha,\epsilon)&=&\frac{3^4(1-\alpha)^5}{2^9r\epsilon}-\frac{32r\epsilon}{9(1-\alpha)^2} \alpha<\acir,\nnb &=&0 \alpha>\acir. \end{eqnarray}(88)cmin\hbox{$\sqrt{\cm}$}depends on Δϖ and has a maximum for Δϖ = π. Since the variation of Δϖ does not affect the AMD of the system, we fix Δϖ = π since it is the least-favorable configuration. Therefore we have cmin=c1+c2.\begin{equation} \sqrt{\cm}=c_1+c_2. \end{equation}(89)We define the relative AMD of a pair of planets C and express it as a function of the variables ciC=CΛ2=12(γαc12+c22).\begin{equation} \cC=\frac{C}{\Lambda_2}=\frac{1}{2}\left(\gamma\sqrt{\alpha}c_1^2+c_2^2\right). \label{rel_AMD} \end{equation}(90)The critical AMD Cc(1)\hbox{$\Cce$} associated to the overlap criterion (74) can be defined as the smallest value of relative AMD such that the conditions E(c1,c2)=C(c1,c2)=12(γαc12+c22)=Cc(1)\begin{eqnarray} \cE(c_1,c_2)&=&c_1+c_2=g(\alpha,\eps)\label{rel_cE}\\ \cC(c_1,c_2)&=&\frac{1}{2}\left(\gamma\sqrt{\alpha}c_1^2+c_2^2\right)=\Cce \end{eqnarray}are verified by any couple (c1,c2). We represent this configuration in Fig. 4.

thumbnail Fig. 4

MMR overlap criterion represented in the (c1,c2) plane.

As in Laskar & Petit (2017), the critical AMD is obtained through Lagrange multipliers CE.\begin{equation} \nabla\cC\propto\nabla\cE. \end{equation}(93)The tangency condition gives a relation between c1 and c2, γαc1=c2.\begin{equation} \gamma\sqrt{\alpha}c_1=c_2. \end{equation}(94)Replacing c2 in relation (91) gives the critical expression of c1 and we immediately obtain the expression of c2cc,1=g(α,ε)1+γαcc,2=γαg(α,ε)1+γα·\begin{equation} c_{c,1}=\frac{g(\alpha,\eps)}{1+\gamma\sqrt{\alpha}} \quad c_{c,2}=\frac{\gamma\sqrt{\alpha}g(\alpha,\eps)}{1+\gamma\sqrt{\alpha}} \cdot \end{equation}(95)The value of Cc(1)\hbox{$\Cce$} is obtained by injecting the critical values cc,1 and cc,2 into the expression of CCc(1)(α,γ,ε)=g(α,ε)22γα1+γα·\begin{equation} \Cce(\alpha,\gamma,\eps)=\frac{g(\alpha,\eps)^2}{2}\frac{\gamma\sqrt{\alpha}}{1+\gamma\sqrt{\alpha}} \cdot \label{Cce} \end{equation}(96)

thumbnail Fig. 5

Regions of application of the different criteria presented in this work. The purple region represents Cc(0)\hbox{$\Cc$} is the smallest, in the green zone, Cc(1)\hbox{$\Cce$} is the smallest and the circular overlap criterion is verified in the red zone. We see that the curve αR computed through a development of Cc(0)\hbox{$\Cc$} and Cc(1)\hbox{$\Cce$} presents a good agreement with the real limit between the green and the purple area. Here γ = 1.

4.2. Comparison with the collision criterion

It is then natural to compare the critical AMD Cc(1)\hbox{$\Cce$} to the critical AMD Cc (denoted hereafter by Cc(0)\hbox{$\Cc$}) derived from the collision condition (86). If α>αcir, the circular overlap criterion implies that Cc(1)=0\hbox{$\Cce=0$} and therefore Cc(1)\hbox{$\Cce$} should be preferred to the previous criterion Cc(0)\hbox{$\Cc$}. However, Cc(1)\hbox{$\Cce$} was obtained thanks to the assumption that α was close to 1. Particularly, it makes no sense to talk about first-order MMR overlap for α< 0.63 which corresponds to the center of the MMR 2:1. Therefore, the collision criterion should be used for small α. We need then to find αR such that for α<αR, we should use the critical AMD Cc(0)\hbox{$\Cc$}. Since we are close to 1, we use a development of Cc(0)\hbox{$\Cc$} presented in Laskar & Petit (2017), and similarly, only keep the leading terms in 1−α in Cc(1)\hbox{$\Cce$}. The two expressions are Cc(0)=γ1+γ(1α)22,Cc(1)=γ1+γg(α,ε)22·\begin{equation} \Cc=\frac{\gamma}{1+\gamma}\frac{(1-\alpha)^2}{2}, \quad \Cce=\frac{\gamma}{1+\gamma}\frac{g(\alpha,\eps)^2}{2} \cdot \end{equation}(97)We observe that for α close to 1, the two expression have the same dependence on γ, therefore, αR depends solely on ε. Simplifying Cc(0)=Cc(1)\hbox{$\Cc=\Cce$} gives αR as a solution of the polynomial equation in (1−α); 36(1α)73229(1α)3214()2=0.\begin{equation} 3^6(1-\alpha)^7-3^22^9r\eps(1-\alpha)^3-2^{14}(r\eps)^2=0. \label{eq_aR} \end{equation}(98)While an exact analytical solution cannot be provided, a development in powers of ε gives the following expression 1αR=43(2)1/4+142+O(ε3/4)=\begin{eqnarray} 1-\alpha_R&=&\frac{4}{3}(2r\eps)^{1/4}+\frac{1}{4}\sqrt{2r\eps}+\O(\eps^{3/4})\nnb &=&1.50\eps^{1/4}+0.316\sqrt{\eps}+\O(\eps^{3/4}). \label{alphaR} \end{eqnarray}(99)It should be remarked that the first term can be directly obtained using Deck’s high-eccentricity approximation.

In Fig. 5 we plot αR and αcir and indicate which criterion is used in the areas delimited by the curves. We specifically represented the region α>αcir because we cannot treat this region in a similar manner to the remaining region since comparing the relative AMD C to Cc(1)\hbox{$\Cce$} does not provide any information. We see that the curve αR is not exactly at the limit where Cc(0)=Cc(1)\hbox{$\Cc=\Cce$} for higher ε due to the development of the critical AMDs for α → 1. We study the influence of γ on the difference between αR and the actual limit in Appendix D

For stability analysis, we need to choose the smallest of the two critical AMD. For α<αR, the collisional criterion is better and the MMR overlap criterion is used for α>αR. We thus define a piece-wise global critical AMD represented in Fig. 6Cc(α,γ,ε)=Cc(0)(α,γ)α<αR(ε,γ),=\begin{eqnarray} C_{\rm c}(\alpha,\gamma,\eps)&=&\Cc(\alpha,\gamma) ~~\alpha<\alpha_R(\eps,\gamma),\nnb &=&\Cce(\alpha,\gamma,\epsilon) ~~\alpha>\alpha_R(\eps,\gamma). \label{amd_crit} \end{eqnarray}(100)

thumbnail Fig. 6

Representation of the two critical AMD presented in this paper. Cc(0)\hbox{$\Cc$} in black is the collisional criterion from Laskar & Petit (2017), Cc(1)\hbox{$\Cce$} in red is the critical AMD derived from the MMR overlap criterion. In this plot, ε = 10-4 and γ = 1.

5. Effects of the MMR overlap on the AMD-classification of planetary systems

In Laskar & Petit (2017), we proposed a classification of the planetary systems based on their AMD-stability. A system is considered as AMD-stable if every adjacent pair of planets is AMD-stable. A pair is considered as AMD-stable if its AMD-stability coefficient β=CΛCc(0)<1,\begin{equation} \beta=\frac{C}{\Lambda'\Cc}<1, \end{equation}(101)where C is the total AMD of the system, Λ′ is the circular momentum of the outer planet and Cc(0)\hbox{$\Cc$} is the critical AMD derived from the collision condition. A similar AMD-coefficient can be defined using the global critical AMD defined in (100) instead of the collisional critical AMD Cc(0)\hbox{$\Cc$}. Let us note β(MMR), the AMD-stability coefficient associated to the critical AMD (100).

We can first observe that β(MMR) is not defined for α>αcir. Indeed, the conservation of the AMD cannot be guaranteed for orbits experiencing short-term chaos.

We use the modified definition of AMD-stability in order to test its effects on the AMD-classification proposed in Laskar & Petit (2017).

5.1. Sample and methodology

We first briefly recall the methodology used in Laskar & Petit (2017); to which we refer the reader for full details. We compute the AMD-stability coefficients for the systems taken from the Extrasolar Planets Encyclopaedia2 with known periods, planet masses, eccentricities, and stellar mass. For each pair of adjacent planets, ε was computed using the expression ε=m1+m2m0,\begin{equation} \eps=\frac{m_1+m_2}{m_0}, \end{equation}(102)where m1 and m2 are the two planet masses and m0, the star mass. The semi-major axis ratio was derived from the period ratio and Kepler third law in order to reduce the uncertainty.

The systems are assumed coplanar, however in order to take into account the contribution of the real inclinations to the AMD, we define Cp, the coplanar AMD of the system, defined as the AMD of the same system if it was coplanar. We can compute coplanar AMD-stability coefficients βp(MMR)\hbox{$\bM_p$} using Cp instead of C, and we define the total AMD-stability coefficients as β=2βp(MMR)\hbox{$\beta=2\bM_p$}. Doing so, we assume the equipartition of the AMD between the different degree of freedom of the system.

We assume the uncertainties of the database quantities to be Gaussian. For the eccentricities, we use the same method as in the previous paper. The quantity ecosϖ is assumed to be Gaussian with the mean, the value of the database and standard deviation, the database uncertainty. The quantity esinϖ is assumed to have a Gaussian distribution with zero mean and the same standard deviation. The distribution of eccentricity is then derived from these two distributions.

We then propagate the uncertainties through the computations thanks to Monte Carlo simulations of the original distributions. For each of the systems, we drew 10 000 values of masses, periods and eccentricities from the computed distributions. We then compute β(MMR) for each of these configurations and compute the 1-σ confidence interval.

In Laskar & Petit (2017), we studied 131 systems but we did not find the stellar mass for 4 of these systems. They were, as a consequence, excluded from this study. Moreover, the computation of ε for the pairs of planets of the 127 remaining systems of the sample led in some cases to high planet-to-star mass ratios. We decide to exclude the systems such that αcir was smaller than the center of the resonance 2:1. We thus discard systems such that a pair of planets has ε>εlim=8.20×10-3.\begin{equation} \eps>\eps_\mathrm{lim}=8.20\times10^{-3}. \end{equation}(103)As a result, we only consider in this study 111 systems that meet the above requirements.

A pair is considered stable if the 1-σ confidence interval (84% of the simulated systems) of the AMD-stability coefficient β(MMR) is below 1. A system is stable if all adjacent pairs are stable.

5.2. Results

thumbnail Fig. 7

Pairs of adjacent planets represented in the αε plane. The color corresponds to the AMD-stability coefficient. We plotted the two limits αR corresponding to the limit between the collision and the MMR-overlap-based criterion and αcir corresponding to the MMR overlap for circular orbits.

thumbnail Fig. 8

Architecture of the systems where the MMR overlap criterion changes the AMD-stability. The color corresponds to the value of the AMD-stability coefficient associated with the inner pair. For the innermost planet, it corresponds to the star AMD-stability criterion (Laskar & Petit 2017). The diameter of the circle is proportional to the log of the mass of the planet.

thumbnail Fig. 9

AMD-stability coefficient of the pairs affected by the change of criterion. β(col) corresponds to the coefficient computed with the collisional critical AMD, and β(MMR) refers to the one computed with the MMR overlap critical AMD. The triangles represent the pairs where β(MMR) goes to infinity.

Figure 7 shows the planet pairs of the considered systems in a plane αε. The color associated to each point is the AMD-stability coefficient of the pair. The values chosen for the plot correspond for all quantities to the median. We remark that very few systems are concerned by the change of the critical AMD, indeed, only eight systems3 have a pair of planets such that Cc(1)<Cc(0)\hbox{$\Cce<\Cc$}. The 111 considered systems contain 162 planet pairs plotted in Fig. 7. This means that less than 5% of the pairs are in a configuration leading to MMR overlap.

We plot in Fig. 8, the architecture of these eight systems and give in Table E.1 the values of the AMD-stability coefficients. For each of these systems, the pair verifying the MMR overlap criterion was already considered AMD-unstable by the criterion based on the collision.

In order to show this, we plot in Fig. 9 the AMD-stability coefficients computed with both critical AMD. We see that the pairs affected by the change of criterion were already considered AMD-unstable in the purely secular dynamics. However, while those pairs have a collisional AMD-coefficient β between 1 and 10, the global AMD-stability coefficient is increased by roughly an order of magnitude for the four pairs with α between αR and αcir. The AMD-coefficient is not defined for the three pairs verifying the circular MMR overlap criterion. The pair HD 47366 b/c does not see a significant change of its AMD-stability coefficient due to the small number of cases where Cc(0)>Cc(1)\hbox{$\Cc>\Cce$}.

We identify three systems, HD 200964, HD 204313 and HD 5319, that satisfy the circular overlapping criterion. As already explained in Laskar & Petit (2017), AMD-unstable planetary systems may not be dynamically unstable. However, it should be noted that the period ratios of the AMD-unstable planet pairs are very close to particular MMR.

Indeed, we have TcHD200964TbHD200964=1.3444/3,TdHD204313TcHD204313=1.3997/5,TcHD5319TbHD5319=1.3134/3.\begin{eqnarray} &&\frac{T^{\mathrm{HD\ 200964}}_{\rm c}}{T^{\mathrm{HD\ 200964}}_{\rm b}}=1.344 \simeq 4/3,\\ &&\frac{T^{\mathrm{HD\ 204313}}_{\rm d}}{T^{\mathrm{HD\ 204313}}_{\rm c}}=1.399 \simeq 7/5,\\ &&\frac{T^{\mathrm{HD\ 5319}}_{\rm c}}{T^{\mathrm{HD\ 5319}}_{\rm b}}=1.313 \simeq 4/3. \end{eqnarray}The AMD-instability of those systems strongly suggests that they are indeed into a resonance which stabilizes their dynamics.

6. Conclusions

As shown in Laskar & Petit (2017), the notion of AMD-stability is a powerful tool to characterize the stability of planetary systems. In this framework, the dynamics of a system is reduced to the AMD transfers allowed by the secular evolution.

However, we need to ensure that the system dynamics can be averaged over its mean motions. While a system can remain stable and the AMD or semi-major axis can be averaged over timescales longer than the libration period in presence of MMR, the system stability and particularly the conservation of the AMD is no longer guaranteed if the system experiences MMR overlap. In this paper, we use the MMR overlap criterion as a condition to delimit the zone of the phase space where the dynamics can be considered as secular.

We refine the criteria proposed by Wisdom (1980), Mustill & Wyatt (2012), Deck et al. (2013) and demonstrate that it is possible to obtain a global expression (74), valid for all cases. The previous circular Eq. (76) and eccentric Eq. (78) criteria an then be derived from Eq. (74) as particular approximations. Moreover, we show that expression (74) can be used to directly take into account the first-order MMR in the notion of AMD-stability.

With this work on first-order MMR, we improve the AMD-stability definition by addressing the problem of the minimal distance between close orbits. For semi-major axis ratios α above a given threshold αcir Eq. (76), that is, αcir<α< 1, the system is considered unstable whichever value the AMD may take given that even two circular orbits satisfy the MMR overlap criterion. At wider separations, circular orbits are stable but as eccentricities increase two outcomes may happen: either the system enters a region of MMR overlap or the collision condition is reached. The system is said to be AMD-unstable as soon as any of these conditions is reached. Above a second threshold, αR<α<αcir (Eq. (99)) the AMD-stability is governed by MMR overlap while for wider separations (α<αR) we retrieve the critical AMD defined in Laskar & Petit (2017) which only depends on the collision condition.

In order to improve the AMD-stability definition for the collision region, we could even take into account the non-secular dynamics induced by higher-order MMR and close-encounter consequences on the AMD. To study this requires more elaborated analytical considerations than those presented here that are restricted to the first-order MMR; this will be the goal of future work.

We show in Sect. 5 that very few systems satisfy the circular MMR overlap criterion. Moreover, the presence of systems satisfying this criterion strongly suggests that they are protected by a particular MMR. In this case, the AMD-instability is a simple tool suggesting unobvious dynamical properties.


1

We summarize the notations of the various AMD expressions used in this paper in Table 1.

3

It should be noted that for one of the systems, the MMR overlap criterion was preferred in 16% of the Monte Carlo simulations.

4

In Laskar & Robutel (1995) the first-order expression of V is written \hbox{$W_1=(UZ+\bar U\bar Z)$} instead of \hbox{${W_1=(UZ+\bar U\bar Z)/2}$}. This misprint in Eq. (47) of Laskar & Robutel (1995) is transmitted as well in Eq. (51). It has no consequences in the results of the paper.

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Appendix A: Expression of the first-order resonant Hamiltonian

We use the method proposed in Laskar (1991) and Laskar & Robutel (1995) to determine the expression of the planetary perturbation \hbox{$\hH_1$}. \hbox{$\hH_1$} can be decomposed into a part from the gravitational potential between planets Û1 and a kinetic part \hbox{$\hT_1$} as εℋ̂1=1+1,\appendix \setcounter{section}{1} \begin{equation} \epsilon\hH_1=\hU_1+\hT_1, \end{equation}(A.1)with 1=𝒢m1m2Δ12=m1m0μ2m23Λ22a2Δ121=˜u1·˜u2m0+12m0(˜u12+˜u22).\appendix \setcounter{section}{1} \begin{eqnarray} \hU_1&=&-\G \frac{m_1m_2}{\Delta_{12}}=-\frac{m_1}{m_0}\frac{\mu^2m_2^3}{\Lambda_2^2}\frac{a_2}{\Delta_{12}}\\ \hT_1&=&\frac{\tu_1\cdot\tu_2}{m_0}+\frac{1}{2m_0}(\|\tu_1\|^2+\|\tu_2\|^2). \end{eqnarray}The difficulty comes from the development of a2/ Δ12 and its expression in terms of Poincaré variables. We note S, the angle between u1 and u2. We have Δ122=u12+u222u1u2cosS.\appendix \setcounter{section}{1} \begin{equation} \Delta_{12}^2=u_1^2+u_2^2-2u_1u_2\cos S. \end{equation}(A.4)Let us denote ρ = u1/u2, a2/ Δ12 can be rewritten a2Δ12=a2u2(1+ρ22ρcosS)1/2=\appendix \setcounter{section}{1} \begin{eqnarray} \frac{a_2}{\Delta_{12}}&=&\frac{a_2}{u_2}\left(1+\rho^2-2\rho\cos S\right)^{-1/2}\nnb &=&\frac{a_2}{u_2}\left(A+V\right)^{-1/2}, \label{asD} \end{eqnarray}(A.5)where we denote A=1+α22αcos(λ1λ2),V=α2V2+2αV1,V1=cos(λ1λ2)ραcosS,V2=(ρα)21.\appendix \setcounter{section}{1} \begin{eqnarray} A&=&1+\alpha^2-2\alpha\cos(\lambda_1-\lambda_2),\\ V&=&\alpha^2V_2+2\alpha V_1,\\ V_1&=&\cos(\lambda_1-\lambda_2)-\frac{\rho}{\alpha}\cos S,\\ V_2&=&\left(\frac{\rho}{\alpha}\right)^2-1. \end{eqnarray}Vis at least of order one in eccentricity. We can therefore develop Eq. (A.5) for small V. We only keep the terms of first order in eccentricity, a2Δ12=a2u2A1/212a2u2VA3/2+O(V2).\appendix \setcounter{section}{1} \begin{equation} \frac{a_2}{\Delta_{12}}=\frac{a_2}{u_2}A^{-1/2}-\frac{1}{2}\frac{a_2}{u_2}VA^{-3/2} +\O(V^2). \label{asD.dev} \end{equation}(A.10)The well-known development of the circular coplanar motion A gives (e.g., Poincaré 1905) As=12kZbs(k)(α)eik(λ1λ2),\appendix \setcounter{section}{1} \begin{equation} A^{-s}=\frac{1}{2}\sum_{k\in\Z} \lc{s}{k}{\alpha}\expo{\i k(\lambda_1-\lambda_2)}, \end{equation}(A.11)where bs(k)(α)\hbox{$\lc{s}{k}{\alpha}$} are the Laplace coefficients (24).

Because of the averaging over the non-resonant fast angles, the non-vanishing terms have a dependence on λi of the form j((p + 1)λ2pλ1). Since we only keep the terms of first order in eccentricity, the d’Alembert’s rule (7) imposes j = ± 1. Let us compute the first-order development of a2/u2 and V in terms of Poincaré variables and combine these expressions with A− 1 / 2 and A− 3 / 2 in order to select the non-vanishing terms.

Let us denote zi = eiλi and \hbox{$z=z_1\bar{z}_2=\e^{\i(\lambda_1-\lambda_2)}$}. The researched terms are of the form ei((p+1)λ2pλ1)=z2zp=z1z(p+1)ei((p+1)λ2pλ1)=2zp=1zp+1.\appendix \setcounter{section}{1} \begin{eqnarray} \expo{\i((p+1)\lambda_2-p\lambda_1)}&=&z_2z^{-p}=z_1z^{-(p+1)}\\ \expo{-\i((p+1)\lambda_2-p\lambda_1)}&=&\bar z_2z^{p}=\bar z_1z^{p+1}. \end{eqnarray}Let us denote Xi=i2Λ̂i=2iΛ̂ieiϖi=eieiϖi+O(ei2),\appendix \setcounter{section}{1} \begin{equation} X_i=\hx_i\sqrt{\frac{2}{\hL_i}}=\sqrt{\frac{2\hC_i}{\hL_i}}\expo{-\i\varpi_i}=e_i \expo{-\i\varpi_i}+\O(e_i^2), \end{equation}(A.14)the first term in the development (A.10) gives a2u2A1/2=12(1+12X2z2+1222)kZb1/2(k)(α)zk+O(e22).\appendix \setcounter{section}{1} \begin{equation} \frac{a_2}{u_2}A^{-1/2}=\frac{1}{2}\left(1+\frac{1}{2}X_2z_2+\frac{1}{2}\bar X_2\bar z_2\right)\sum_{k\in\Z}\lc{1/2}{k}{\alpha}z^k +\O(e_2^2). \end{equation}(A.15)The contributing term has for expression 14b1/2(p)(α)(X2+X2¯),\appendix \setcounter{section}{1} \begin{equation} \frac{1}{4}\lc{1/2}{p}{\alpha}(\X_2+\bar{\X_2}), \label{r_21} \end{equation}(A.16)where Xi=Xˆi2/Λ̂i=Xiei((p+1)λ2pλ1)\hbox{$\X_i=\hat \x_i\sqrt{2/\hL_i}=X_i \expo{\i((p+1)\lambda_2-p\lambda_1)}$}.

For the computation of the second term of (A.10), the only contribution comes from V since a2/u2 ~ 1. We define U=X1z1X2z2=21Λ̂1ei(λ1ϖ1)22Λ̂2ei(λ2ϖ2).\appendix \setcounter{section}{1} \begin{eqnarray} U&=&X_1z_1-X_2z_2\nnb &=&\sqrt{\frac{2\hC_1}{\hL_1}}\expo{\i(\lambda_1-\varpi_1)}-\sqrt{\frac{2\hC_2}{\hL_2}}\expo{\i(\lambda_2-\varpi_2)}. \end{eqnarray}(A.17)Vcan be expressed as a function of \hbox{$z,\bar z, U$} and \hbox{$\bar U$}. Indeed we have ρα=112(U+)+O(e2)\appendix \setcounter{section}{1} \begin{equation} \frac{\rho}{\alpha}= 1-\frac{1}{2}(U+\bar U)+\O(e^2) \end{equation}(A.18)and cosS=12(z++U(z)+(z))+O(e2),\appendix \setcounter{section}{1} \begin{equation} \cos S=\frac{1}{2}\left(z+\bar z+U(z-\bar z)+\bar U (\bar z -z)\right)+\O(e^2), \end{equation}(A.19)where O(e2) corresponds to terms of total degree in eccentricities of at least 2. We deduce from these two last expressions that V1=14(U(3z)+(3z))+O(e2),V2=(U+)+O(e2).\appendix \setcounter{section}{1} \begin{eqnarray} V_1&=&\frac{1}{4}\left(U(3\bar z-z)+\bar U (3z-\bar z)\right)+\O(e^2),\\ V_2&=&-(U+\bar U)+\O(e^2). \end{eqnarray}We can therefore write4V=12(UZ+)+O(e2),\appendix \setcounter{section}{1} \begin{equation} V=\frac{1}{2}(UZ+\bar U\bar Z)+\O(e^2), \end{equation}(A.22)where \hbox{$Z=\alpha(3\bar z -2\alpha -z)$}. With this expression of V, it is easy to gather the corresponding terms and the second term in the development (A.10) gives the contributing term α8(3b3/2(p)(α)2αb3/2(p+1)(α)b3/2(p+2)(α))(X1+1)+\appendix \setcounter{section}{1} \begin{eqnarray} &-&\frac{\alpha}{8}\left(3\lc{3/2}{p}{\alpha}-2\alpha\lc{3/2}{p+1}{\alpha}-\lc{3/2}{p+2}{\alpha}\right)\left(\X_1+\bar\X_1\right)\nnb & +& \frac{\alpha}{8}\left(3\lc{3/2}{p-1}{\alpha}-2\alpha\lc{3/2}{p}{\alpha}-\lc{3/2}{p+1}{\alpha}\right)\left(\X_2+\bar\X_2\right) \label{r_3}. \end{eqnarray}(A.23)After gathering the terms (A.16), (A.23), we can give the expression of the resonant Hamiltonian ℋ̂=𝒦̂+1(Xˆ1+X¯1)+2(Xˆ2+X¯2),\appendix \setcounter{section}{1} \begin{equation} \hH=\hK+\hat R_1(\hat \x_1+\bar{\hat \x}_1)+\hat R_2(\hat\x_2+\bar{\hat\x}_2), \end{equation}(A.24)where 1=εγ1+γμ2m23Λ̂22122Λ̂1r1(α),2=εγ1+γμ2m23Λ̂22122Λ̂2r2(α)\appendix \setcounter{section}{1} \begin{eqnarray} \hat R_1&=& -\epsilon\frac{\gamma}{1+\gamma}\frac{\mu^2m_2^3}{\hL_2^2}\frac{1}{2}\sqrt{\frac{2}{\hL_1}}r_1(\alpha),\\ \hat R_2&=& -\epsilon\frac{\gamma}{1+\gamma}\frac{\mu^2m_2^3}{\hL_2^2}\frac{1}{2}\sqrt{\frac{2}{\hL_2}}r_2(\alpha)\\ \end{eqnarray}with γ = m1/m2, and r1(α)=r2(α)=α4(3b3/2(p1)(α)2αb3/2(p)(α)b3/2(p+1)(α))\appendix \setcounter{section}{1} \begin{eqnarray} r_1(\alpha)&=&-\frac{\alpha}{4}\left(3\lc{3/2}{p}{\alpha}-2\alpha\lc{3/2}{p+1}{\alpha}-\lc{3/2}{p+2}{\alpha}\right), \label{coef_r1.app} \\ r_2(\alpha)&=&\frac{\alpha}{4}\left(3\lc{3/2}{p-1}{\alpha}-2\alpha\lc{3/2}{p}{\alpha}-\lc{3/2}{p+1}{\alpha}\right)\nnb &&\quad +\frac{1}{2}\lc{1/2}{p}{\alpha}. \label{coef_r2.app} \end{eqnarray}The kinetic part \hbox{$\hT_1$} has no contribution to the averaged resonant Hamiltonian for p> 1. Indeed, as explained above, due to the d’Alembert rule, the first-order terms must have an angular dependence of the form j(−pλ1 + (p + 1)λ2). At the first order in ε, such a term can only be present in the development of the inner product ˜u1·˜u2\hbox{$\tu_1\cdot\tu_2$}. At the first order in eccentricities, we have (Laskar & Robutel 1995) ˜u1·˜u2=μ2m12m22Λ̂1Λ̂2((eiω1+X1)(eiω2+X2¯))+O(e2),\appendix \setcounter{section}{1} \begin{equation} \tu_1\cdot\tu_2=\frac{\mu^2 m_1^2 m_2^2}{\hL_1\hL_2}\Re((\expo{\i \omega_1}+ X_1)(\expo{-\i \omega_2}+\bar{X_2})) +\O(e^2), \end{equation}(A.30)where ωj is the true longitude of the planet j. The only term with the good angular dependence comes from ℜei(ω1ω2) since the other first-order terms only depend on one mean longitude. The development of ei(ω1ω2) at the first order in eccentricities gives ei(ω1ω2)=z+z1z12X1+z2X2z12+O(e2).\appendix \setcounter{section}{1} \begin{equation} \expo{\i(\omega_1-\omega_2)}= z+z_1z\bar X_1-\bar z_2X_1+z\bar z_2 X_2-z_1\bar X_2+\O(e^2). \end{equation}(A.31)Thus for p> 1, \hbox{$\hT_1$} has no contribution to the averaged Hamiltonian, and for p = 1 we have 1,i=12m0μm12Λ̂1μm22Λ̂2(X2+2).\appendix \setcounter{section}{1} \begin{equation} \H_{1,i}=\frac{1}{2m_0}\frac{\mu m_1^2}{\hL_1}\frac{\mu m_2^2}{\hL_2}(\X_2+\bar{\X}_2). \end{equation}(A.32)

Appendix A.1: Asymptotic expression of the resonant coefficients

We present the method we used to obtain the analytic development of the coefficients r1 and r2 defined in Eqs. (A.28) and (A.29). Using the expression of bs(k)(α)\hbox{$\lc{s}{k}{\alpha}$}, we have r1(α)=α4π[ππ3cos()(1+α22αcosφ)3/2dφ+ππ2αcos((p+1)φ)(1+α22αcosφ)3/2dφ+ππcos((p+2)φ)(1+α22αcosφ)3/2dφ].\appendix \setcounter{section}{1} \begin{eqnarray} r_1(\alpha)&=&-\frac{\alpha}{4\pi}\left[\int_{-\pi}^{\pi}\frac{3\cos(p\phi)}{(1+\alpha^2-2\alpha\cos\phi)^{3/2}}\d\phi\right.\nnb &&~~~+ \left.\int_{-\pi}^{\pi}\frac{-2\alpha\cos((p+1)\phi)}{(1+\alpha^2-2\alpha\cos\phi)^{3/2}}\d\phi\right.\nnb &&~~~ +\left.\int_{-\pi}^{\pi}\frac{-\cos((p+2)\phi)}{(1+\alpha^2-2\alpha\cos\phi)^{3/2}}\d\phi \right]. \end{eqnarray}(A.33)We can rewrite this expression r1(α)=α2π[ππ(cos(φ)α)cos((p+1)φ)(1+α22αcosφ)3/2dφ+ππ2sinφsin((p+1)φ)(1+α22αcosφ)3/2dφ].\appendix \setcounter{section}{1} \begin{eqnarray} r_1(\alpha)&=&-\frac{\alpha}{2\pi}\left[\int_{-\pi}^{\pi}\frac{(\cos(\phi)-\alpha)\cos((p+1)\phi)}{(1+\alpha^2-2\alpha\cos\phi)^{3/2}}\d\phi\right.\nnb &&~~~~~+ \left.\int_{-\pi}^{\pi}\frac{2\sin\phi\sin((p+1)\phi)}{(1+\alpha^2-2\alpha\cos\phi)^{3/2}}\d\phi \right]. \end{eqnarray}(A.34)We make the change of variable φ = (1−α)u in the integrals. Factoring (1−α)3, the denominators in the integrals can be developed for α → 1(1+α22αcosφ)3/2=(1+2α1cos((1α)u)(1α)2)3/2(1α)3(1+u2)3/2.\appendix \setcounter{section}{1} \begin{eqnarray} (1+\alpha^2-2\alpha\cos\phi)^{3/2}&=&\left(1+2\alpha\frac{1-\cos((1-\alpha)u)}{(1-\alpha)^2}\right)^{3/2}\nnb &\simeq& (1-\alpha)^3(1+u^2)^{3/2}. \end{eqnarray}(A.35)Using the relation α0 = (p/ (p + 1))2 / 3, the numerators can be developed 𝒩1=(cos((1α)u)α)cos((p+1)(1α)u)(1α)cos(2u3)𝒩2=2sin((1α)u)sin((p+1)(1α)u)2(1α)usin(2u3)·\appendix \setcounter{section}{1} \begin{eqnarray} \mathcal{N}_1&=&(\cos((1-\alpha)u)-\alpha)\cos((p+1)(1-\alpha)u)\nnb &\simeq&(1-\alpha)\cos\left(\frac{2u}{3}\right)\\ \mathcal{N}_2&=&2\sin((1-\alpha)u)\sin((p+1)(1-\alpha)u)\nnb &\simeq&2(1-\alpha)u\sin\left(\frac{2u}{3}\right) \cdot \end{eqnarray}Therefore, we deduce the equivalent of r1 for p → + ∞r1(α)~3(p+1)4π+cos(2u3)+2usin(2u3)(1+u2)3/2du~K1(2/3)+2K0(2/3)π(p+1)~0.802(p+1),\appendix \setcounter{section}{1} \begin{eqnarray} r_1(\alpha)&\sim&-\frac{3(p+1)}{4\pi}\int_{-\infty}^{+\infty}\frac{\cos\left(\frac{2u}{3}\right)+2u\sin\left(\frac{2u}{3}\right)}{(1+u^2)^{3/2}}\d u\nnb &\sim&-\frac{K_1(2/3)+2K_0(2/3)}{\pi}(p+1)\\ &\sim& 0.802(p+1), \end{eqnarray}where Kν(x) is the modified Bessel function of the second kind. Similarly, we have r2 ~ −r1 since the additional term is of lower order in p.

We can obtain the constant term of the development by using the second order expression of α0 and developing the integrand to the next order in (1−α). We give here the numerical expressions of the two developments r1(α0)=0.802(p+1)0.199+O(p-1),r2(α0)=0.802(p+1)+0.421+O(p-1).\appendix \setcounter{section}{1} \begin{eqnarray} r_1(\alpha_0)&=&-0.802(p+1)-0.199+\O(p^{-1}),\\ r_2(\alpha_0)&=&0.802(p+1)+0.421+\O(p^{-1}). \end{eqnarray}

Appendix B: Development of the Keplerian part

We show here that the first order in (C−ΔG) of the Keplerian part vanishes and give the details of the computation for the second order. The Keplerian part can be written 𝒦̂=μ2m132(Λ1,0p(CΔG))2μ2m232(Λ2,0+(p+1)(CΔG))2·\appendix \setcounter{section}{2} \begin{eqnarray} \hK=&-&\frac{\mu^2m_1^3}{2(\Loz-p(C-\DG))^2}\nnb &-&\frac{\mu^2m_2^3}{2(\Ltz+(p+1)(C-\DG))^2} \cdot \end{eqnarray}(B.1)Therefore, the first order in C−ΔG has for expression 𝒦1=μ2m23Λ2,03(pγ3Λ2,03Λ1,03(p+1))(CΔG)=0,\appendix \setcounter{section}{2} \begin{equation} \K_1=-\frac{\mu^2m_2^3}{\Ltz^3}\left(\frac{p\gamma^3\Ltz^3}{\Loz^3}-(p+1)\right)(C-\DG)=0, \end{equation}(B.2)since we have (Λ1,0Λ2,0)3=γ3pp+1·\appendix \setcounter{section}{2} \begin{equation} \left(\frac{\Loz}{\Ltz}\right)^3=\gamma^3\frac{p}{p+1} \cdot \end{equation}(B.3)The second-order term has for coefficient 12𝒦2=32μ2m23(γ3p2Λ1,04+(p+1)2Λ2,04)=32μ2m23(γ+α0)4(p2γ(pp+1)4+(p+1)2α04)=32μ2m23(γ+α0)4(p+1)2α04(p+1p)2+γγα0412𝒦2=32μ2m23(γ+α0)5γα04(p+1)2·\appendix \setcounter{section}{2} \begin{eqnarray} \frac{1}{2}\K_2&=&-\frac{3}{2} \mu^2m_2^3\left(\frac{\gamma^3p^2}{\Loz^4}+\frac{(p+1)^2}{\Ltz^4}\right)\nnb &=&-\frac{3}{2}\mu^2m_2^3(\gamma+\alpha_0)^4\left(\frac{p^2}{\gamma\left(\frac{p}{p+1}\right)^4}+\frac{(p+1)^2}{\alpha_0^4}\right)\nnb &=&-\frac{3}{2}\mu^2m_2^3(\gamma+\alpha_0)^4(p+1)^2\frac{\alpha_0^4\left(\frac{p+1}{p}\right)^2+\gamma}{\gamma \alpha_0^4}\nnb \frac{1}{2}\K_2&=&-\frac{3}{2}\mu^2m_2^3\frac{(\gamma+\alpha_0)^5}{\gamma \alpha_0^4}(p+1)^2\cdot \end{eqnarray}(B.4)

Appendix C: Width of the resonance island

We detail in this Appendix the computation of the resonance island’s width (see also Ferraz-Mello 2007, Appendix C).

Appendix C.1: Coefficients-roots relations

We first explain how the width of the resonance can be related to the position of the saddle point on the X-axis. The resonant island has a maximal width on the X-axis. Therefore we need to compute the expression of the intersections of the separatrices with the X-axis.

Let us note 3, the energy at the saddle point (X3,0). Since the energy of the separatrices is 3 as well, the two intersections of the separatrices with the X-axis are the solution of the equation A(X,0)=X48+0X22X=3+022=˜3.\appendix \setcounter{section}{3} \begin{equation} \H_{\rm A}(X,0)=-\frac{X^4}{8}+\frac{\I_0X^2}{2}-X=\H_3+\frac{\I_0^2}{2} =\tilde{\H}_3. \end{equation}(C.1)This equation has three solutions X1,X2\hbox{$X_1^*,X_2^*$}, and X3 which has a multiplicity of 2. We can therefore rewrite the equation as (XX1)(XX2)(XX3)2=X440X2+8X+8˜3.\appendix \setcounter{section}{3} \begin{equation} (X-X_1^*)(X-X_2^*)(X-X_3)^2=X^4-4\I_0X^2+8X+8\tilde\H_3. \label{poly_X3width} \end{equation}(C.2)We detail here the relations between the coefficients and the roots of the polynomial Eq. (C.2). We have X1+X2+2X3=X1X2+2X3(X1+X2)+X32=X1X2X32=8˜3=\appendix \setcounter{section}{3} \begin{eqnarray} X_1^*+X_2^*+2X_3&=&0 \label{rel1}\\ X_1^*X_2^*+2X_3(X_1^*+X_2^*)+X_3^2&=&-2\I_0 \label{rel2}\\ X_1^*X_2^*X_3^2=8\tilde\H_3&=&-X_3^4+2\I_0X_3^2-8X_3. \label{rel3} \end{eqnarray}From relation (C.3), we have directly X1+X2=2X3\hbox{$X_1^*+X_2^*=-2X_3$}, and since 4X1X2=(X1+X2)2(X1X2)2,\appendix \setcounter{section}{3} \begin{equation} 4X_1^*X_2^*=(X_1^*+X_2^*)^2-(X_1^*-X_2^*)^2, \end{equation}(C.6)we can express (X1X2)2\hbox{$(X_1^*-X_2^*)^2$} as a function of X3 thanks to the relations (C.4) and (C.5) |X1X2|=4X3·\appendix \setcounter{section}{3} \begin{equation} |X_1^*-X_2^*|=\frac{4}{\sqrt{X_3}} \cdot \end{equation}(C.7)We thus deduce the expressions of X1\hbox{$X_1^*$} and X2\hbox{$X_2^*$} as functions of X3X1=X32X3,X2=X3+2X3·\appendix \setcounter{section}{3} \begin{eqnarray} X_1^*&=&-X_3-\frac{2}{\sqrt{X_3}},\\ X_2^*&=&-X_3+\frac{2}{\sqrt{X_3}} \cdot \end{eqnarray}As explained in Sect. 3.1, we obtain the width of the resonance in terms of variation of α as a function of X3 (Eq. (60)). We can use this expression to obtain the width of the resonance for particular cases detailed in the following subsections.

Appendix C.2: Width for initially circular orbits

In the case of initially circular orbits, the minimal AMD to enter the resonance is 0. For Cmin = 0, Eq. (62) gives X3 = 22 / 3 as a solution and we have δαα0=8×21/3r2/332/3ε2/3(p+1)1/3=\appendix \setcounter{section}{3} \begin{eqnarray} \frac{\delta\alpha}{\alpha_0}&=&\frac{8\times2^{1/3}r^{2/3}}{3^{2/3}}\eps^{2/3}(p+1)^{1/3}\nnb &=&4.18\ \eps^{2/3}(p+1)^{1/3}. \label{width_circ} \end{eqnarray}(C.10)We find here the same width of resonance as Deck et al. (2013).

Appendix C.3: Width for highly eccentric orbits

If we consider a system with Cminχ2 / 3, our formalism gives us the result first proposed by Mustill & Wyatt (2012) and improved by Deck et al. (2013) for eccentric orbits. In this case, we can inject the approximation (66) of X3 in the expression (60) of δα and obtain δαα0=8r3ε(p+1)cmin1/4=\appendix \setcounter{section}{3} \begin{eqnarray} \frac{\delta\alpha}{\alpha_0}&=&\frac{8\sqrt{r}}{\sqrt{3}}\sqrt{\eps(p+1)}\cm^{1/4}\\ & =& 4.14\sqrt{\eps(p+1)}\cm^{1/4}. \label{width_hecc} \end{eqnarray}This result is also similar to Deck’s one, using cmin\hbox{$\sqrt{\cm}$} instead of σ (Deck et al. 2013, Eq. (25)).

Appendix C.4: Width for low eccentric orbits

For Cminχ2 / 3, we propose here a new expression of the width of resonance thanks to the expression (67). This expression is an extension of the circular result presented above Eq. (C.10). Let us develop X3\hbox{$\sqrt{X_3}$} for Cminχ2 / 3X3=22/3+232/3r1/3(p+1)1/3ε1/3cmin21/3(1+162/3r1/3(p+1)1/3ε1/3cmin).\appendix \setcounter{section}{3} \begin{eqnarray} \sqrt{X_3}&=&\sqrt{2^{2/3}+\frac{2}{3^{2/3}r^{1/3}}\frac{(p+1)^{1/3}}{\eps^{1/3}}\sqrt{\cm}}\nnb &\simeq&2^{1/3}\left(1+\frac{1}{6^{2/3}r^{1/3}}\frac{(p+1)^{1/3}}{\eps^{1/3}}\sqrt{\cm}\right). \end{eqnarray}(C.13)Therefore for low-eccentricity systems, we have δαα0δαcα0(1+162/3r1/3(p+1)1/3ε1/3cmin),\appendix \setcounter{section}{3} \begin{eqnarray} \frac{\delta\alpha}{\alpha_0}\simeq\frac{\da_{\rm c}}{\alpha_0}\left(1+\frac{1}{6^{2/3}r^{1/3}}\frac{(p+1)^{1/3}}{\eps^{1/3}}\sqrt{\cm}\right), \label{width_lecc} \end{eqnarray}(C.14)where δαc is the width of the resonance for initially circular orbits defined in Eq. (C.10).

Appendix D: Influence of γ on the limit αR

As can be seen in Fig. 5, the solution αR of Eq. (98) is not the exact limit where the collision and the MMR criteria are equal. Indeed, Eq. (98) is obtained after the development of Cc(0)\hbox{$\Cc$} and Cc(1)\hbox{$\Cce$} for α close to 1. Since at first order, both expressions have the same dependence on γ, αR does not depend on γ. In order to study the dependence on γ of the limit αlim where Cc(0)=Cc(1)\hbox{$\Cc=\Cce$}, we plot in Fig. (D.1), for different values of ε, the quantity δαR(ε,γ)=αR(ε)αlim(ε,γ)1αR(ε),\appendix \setcounter{section}{4} \begin{equation} \delta\alpha_R(\eps,\gamma)=\frac{\alpha_R(\eps)-\alpha_\mathrm{lim}(\eps,\gamma)}{1-\alpha_R(\eps)}, \end{equation}(D.1)which gives the error made when approximating αlim by αR. We see that all the curves have the same shape with an amplitude increasing with ε. For high γ, αR is very accurate even for the greatest values of ε. Moreover, the error is maximum for very small γ and always within a few percent.

The amplitude of the error scales with 1−αRε1 / 4 as we can see in Fig. D.2. We plot in this Fig. D.2 the quantity δαR/ε1 / 4; we see that the curves are almost similar, particularly for the smaller values of ε.

thumbnail Fig. D.1

Difference between the limit αlim where Cc(0)\hbox{$\Cc$} and Cc(1)\hbox{$\Cce$} are equal and its approximation αR scaled by 1−αR versus γ for various values of ε.

thumbnail Fig. D.2

δαR scaled by ε1 / 4 versus γ for various values of ε.

Appendix E: AMD-stability coefficients of the system affected by the MMR overlap criterion

We report in Table E.1 the AMD-stability coefficients of the systems where more than 5% of the Monte Carlo realizations were affected by the change of critical AMD. Apart for the system HD 47366 where 16% of the simulations used the new criterion, the seven other systems used the critical AMD Cc(1)\hbox{$\Cce$} for almost all the realizations. For HD 204313, only the pair (b/d) is affected.

In Table E.1, e2\hbox{$\sqrt{\langle e^2\rangle}$} corresponds to the mean value of the squared eccentricity computed as explained in Sect. (5.1).

Table E.1

AMD-stability coefficients computed for the systems affected by the MMR overlap criterion

All Tables

Table 1

Summary of the diverse notations of AMD used in this paper.

Table E.1

AMD-stability coefficients computed for the systems affected by the MMR overlap criterion

All Figures

thumbnail Fig. 1

Hamiltonian A (48) represented with the saddle point and the separatrices in red.

In the text
thumbnail Fig. 2

Relation Eq. (62) between X3 and Cmin Eq. (61) and two different approximations. In red, the approximation used by Deck et al. (2013) for eccentric orbits and in purple the constant evaluation used for circular orbits.

In the text
thumbnail Fig. 3

Representation of the MMR overlap criteria. The dotted lines correspond to the criteria proposed by Deck et al. (2013), and the collision curve is the approximation of the collision curve for α → 1. We represented in transparent green (p odd) and blue (p even) the first p:p + 1 MMR islands to show the agreement between the proposed overlap criterion and the actual intersections. In this figure, ε = 10-6.

In the text
thumbnail Fig. 4

MMR overlap criterion represented in the (c1,c2) plane.

In the text
thumbnail Fig. 5

Regions of application of the different criteria presented in this work. The purple region represents Cc(0)\hbox{$\Cc$} is the smallest, in the green zone, Cc(1)\hbox{$\Cce$} is the smallest and the circular overlap criterion is verified in the red zone. We see that the curve αR computed through a development of Cc(0)\hbox{$\Cc$} and Cc(1)\hbox{$\Cce$} presents a good agreement with the real limit between the green and the purple area. Here γ = 1.

In the text
thumbnail Fig. 6

Representation of the two critical AMD presented in this paper. Cc(0)\hbox{$\Cc$} in black is the collisional criterion from Laskar & Petit (2017), Cc(1)\hbox{$\Cce$} in red is the critical AMD derived from the MMR overlap criterion. In this plot, ε = 10-4 and γ = 1.

In the text
thumbnail Fig. 7

Pairs of adjacent planets represented in the αε plane. The color corresponds to the AMD-stability coefficient. We plotted the two limits αR corresponding to the limit between the collision and the MMR-overlap-based criterion and αcir corresponding to the MMR overlap for circular orbits.

In the text
thumbnail Fig. 8

Architecture of the systems where the MMR overlap criterion changes the AMD-stability. The color corresponds to the value of the AMD-stability coefficient associated with the inner pair. For the innermost planet, it corresponds to the star AMD-stability criterion (Laskar & Petit 2017). The diameter of the circle is proportional to the log of the mass of the planet.

In the text
thumbnail Fig. 9

AMD-stability coefficient of the pairs affected by the change of criterion. β(col) corresponds to the coefficient computed with the collisional critical AMD, and β(MMR) refers to the one computed with the MMR overlap critical AMD. The triangles represent the pairs where β(MMR) goes to infinity.

In the text
thumbnail Fig. D.1

Difference between the limit αlim where Cc(0)\hbox{$\Cc$} and Cc(1)\hbox{$\Cce$} are equal and its approximation αR scaled by 1−αR versus γ for various values of ε.

In the text
thumbnail Fig. D.2

δαR scaled by ε1 / 4 versus γ for various values of ε.

In the text

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