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Apsidal asymmetric-alignment of Jupiter Trojans

Jian Li1,2, Hanlun Lei1,2 and Zhihong J. Xia3
1School of Astronomy and Space Science, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, PR China,
2 Key Laboratory of Modern Astronomy and Astrophysics in Ministry of Education, Nanjing University, Nanjing 210023, PR China
3Department of Mathematics, Northwestern University, 2033 Sheridan Road, Evanston, IL 60208, USA
E-mail: [email protected]: [email protected]
(Accepted 1988 December 15. Received 1988 December 14; in original form 1988 October 11)
Abstract

The most distant Kuiper belt objects exhibit the clustering in their orbits, and this anomalous architecture could be caused by Planet 9 with large eccentricity and high inclination. We then suppose that the orbital clustering of minor planets may be observed somewhere else in the solar system. In this paper, we consider the over 7000 Jupiter Trojans from the Minor Planet Center, and find that they are clustered in the longitude of perihelion ϖ\varpi, around the locations ϖJ+60\varpi_{\mbox{\scriptsize{J}}}+60^{\circ} and ϖJ60\varpi_{\mbox{\scriptsize{J}}}-60^{\circ} (ϖJ\varpi_{\mbox{\scriptsize{J}}} is the longitude of perihelion of Jupiter) for the L4 and L5 swarms, respectively. Then we build a Hamiltonian system to describe the associated dynamical aspects for the co-orbital motion. The phase space displays the existence of the apsidally aligned islands of libration centered on Δϖ=ϖϖJ±60\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}\approx\pm 60^{\circ}, for the Trojan-like orbits with eccentricities e<0.1e<0.1. Through a detailed analysis, we have shown that the observed Jupiter Trojans with proper eccentricities ep<0.1e_{p}<0.1 spend most of their time in the range of |Δϖ|=0120|\Delta\varpi|=0-120^{\circ}, while the more eccentric ones with ep>0.1e_{p}>0.1 are too few to affect the orbital clustering within this Δϖ\Delta\varpi range for the entire Trojan population. Our numerical results further prove that, even starting from a uniform Δϖ\Delta\varpi distribution, the apsidal alignment of simulated Trojans similar to the observation can appear on the order of the age of the solar system. We conclude that the apsidal asymmetric-alignment of Jupiter Trojans is robust, and this new finding can be helpful to design the survey strategy in the future.

keywords:
celestial mechanics – planets and satellites: dynamical evolution and stability – methods: miscellaneous – minor planets, asteroids: general
pagerange: Apsidal asymmetric-alignment of Jupiter TrojansLABEL:lastpagepubyear: 2002

1 Introduction

Presently there are 14 extreme Kuiper belt objects (KBOs) discovered with semimajor axes exceeding 250 AU (e.g., Brown et al., 2004; Chen et al., 2013; Trujillo & Sheppard, 2014; Sheppard & Trujillo, 2016). It was noted that all these objects are clustered both in the longitude of perihelion and in the longitude of ascending node, and the confidence level can be as high as 99.8%99.8\% (Brown & Batygin, 2019). This distinct orbital feature leads to the existence of an additional planet, referred to as Planet 9, which resides on a highly eccentric and inclined orbit (Batygin & Brown, 2016; Batygin et al., 2019). The secular perturbation of Planet 9 can be a dynamical mechanism which forces the orbital alignment of the known extreme KBOs, as well as the effect of its mean motion resonances (MMRs) (Beust, 2016).

We then speculate that the similar orbital alignment could possibly be observed elsewhere much closer to the Sun in the solar system. For instance, for some known planet moving on the eccentric orbit, it could also confine the apsidal configuration of the objects trapped in its MMRs. The first planet came into our thought is Jupiter, which has the largest mass and a relatively large eccentricity (eJ=0.05e_{\mbox{\scriptsize{J}}}=0.05) among the four outer planets. Thus we intend to reinvestigate the orbital structure of objects in the low order MMRs with Jupiter.

The Jupiter Trojans share the semimajor axis of Jupiter, around the leading (L4) or trailing (L5) triangular Lagrangian point, and they are said to be settled in the 1:1 mean motion resonance (MMR) with Jupiter. This population comprising thousands of observed asteroids is currently the second largest group of minor planets in the solar system, only fewer than the main belt asteroids. As such a large group of small bodies, they may serve as a good field experiment for the dynamical theories developed for Planet 9. It is also well known that the 2:1 Jovian MMR contains a population of asteroids, i.e., the so-called Hecuba gap centered at 3.27\approx 3.27 AU (Schweizer, 1969). Although the number of this resonant population has increased to several hundreds, merely 124 objects (i.e., Zhongguos) were identified on stable orbits by Chrenko et al. (2015). So these stable Zhongguos are too few to be used for the statistical analysis at present, and their orbital distribution would not be discussed in this paper.

Over the past decade, many studies have been done for better understanding of the physical and orbital distributions of the Jupiter Trojans. The Wide-field Infrared Survey Explorer (WISE) project has provided the most complete measures of physical properties for approximately 1900 Jupiter Trojans down to 10\sim 10 km (Grav et al., 2011, 2012). According to the size and color observations, the Trojans are proposed to originate from the same primordial population as the Kuiper belt objects (Fraser et al., 2014; Wong & Brown, 2016). While as for the albedo distribution, this property shows no statistical difference between the L4 and L5 swarms, probably indicating the identical chemical and dynamical evolutions (Emery et al., 2011). A more exhaustive review can be found in Emery et al. (2015).

The known Jupiter Trojans have been better characterized in terms of their orbital features, and accordingly they were thought to be captured into the Lagrangian regions from the primordial planetesimal disk during the mass growth of Jupiter, by the dissipative forces such as gas drag or collisions (Shoemaker et al., 1989; Kary & Lissauer, 1995; Marzari & Scholl, 1998; Fleming & Hamilton, 2000; Kortenkamp & Hamilton, 2001). However, this process can not explain the broad inclination distribution of the Jupiter Trojans up to 4040^{\circ}, which was later reproduced in the framework of the Nice model (Tsiganis et al., 2005). Once Jupiter and Saturn crossed their mutual 1:2 MMR, there was a period of time that the planetesimals can be scattered and trapped around L4 and L5 through chaotic paths, and acquire large inclinations; as well, the observed orbital distributions of the eccentricity and libration amplitude can be successfully generated (Morbidelli et al., 2005).

Nevertheless, an outstanding issue remains, i.e., the number difference between the two Trojan swarms. With the samples detected by the WISE, Grav et al. (2011) estimated a number ratio of N(L4)/N(L5)1.4±0.2N(\mbox{L}4)/N(\mbox{L}5)\sim 1.4\pm 0.2. As a matter of fact, even the possible selection effects are involved, there are still significantly more Trojans in the L4 swarm (Szabó et al., 2007). Recently, Di Sisto et al. (2019) calculated the difference in the escape rate between the L4 and L5 Trojans, which is only as small as 2%\sim 2\% over the age of the solar system. In additional, Hellmich et al. (2019) considered the Yarkovsky force on the Jupiter Trojans, since only objects with radii 1\leqslant 1 km are significantly influenced, the number asymmetry existing at large size can not be explained. Consequently, the source of the asymmetry problem should be due to the initial capture implantation, but not the later long-term dynamical evolution. For instance, the Jumping Jupiter and capture mechanism started at 310\sim 3-10 Myr after the birth of the Sun, could potentially create a number ratio of N(L4)/N(L5)=1.31.8N(\mbox{L}4)/N(\mbox{L}5)=1.3-1.8 (Nesvorný et al., 2013).

Since the small Trojans with absolute magnitudes H>11H>11 are far from observationally complete, their intrinsic distributions need to be further improved by increasing the number of the observed samples. According to our previous work (Li & Sun, 2018), the total number of Jupiter Trojans with diameters >1>1 km (i.e., H19H\lesssim 19) is estimated to be approximately half a million. This suggests that there is a huge Trojan population yet to be discovered in future surveys. Hence it is of special interest to investigate that whether the orbital orientation of the Jupiter Trojans has some particular characteristic. As we know, in the papers published so far for the various distributions of the Jupiter Trojans, the longitude of perihelion and ascending node have not been explicitly considered. If the clustering of either of these two orbital orientations can be detected, it can directly place constrains on preparing the future observation plans.

The rest of this paper is organized as follows. In Section 2, we reveal the apsidal asymmetric-alignment of the observed Jupiter Trojans. In Section 3, we develop the theoretical approach to understand the dynamical mechanism that accounts for this anomalous orbital structure of the Jupiter Trojans, and correspondingly a detailed explanation is provided. In Section 4, we perform numerical simulations to reproduce the apsidally aligned Trojans, sculpted by the eccentric orbit of Jupiter, from an initially uniform distribution of the longitudes of perihelia. The conclusions and discussion are given in Section 5.

2 Orbital orientations of observed Jupiter Trojans

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Figure 1: Distribution of the longitudes of perihelia ϖ\varpi (upper panels) and the longitudes of ascending nodes Ω\Omega (lower panels) of the observed Jupiter Trojans, at the epoch of 2020 May 31. (Left column) There are 4625 objects in the L4 region, and the values of their ϖ\varpi are clustered around ϖJ+60\varpi_{\mbox{\scriptsize{J}}}+60^{\circ} (ϖJ\varpi_{\mbox{\scriptsize{J}}} is the longitude of perihelion of Jupiter). (Right column) There are 2729 objects in the L5 region, and the ϖ\varpi clustering is around ϖJ60\varpi_{\mbox{\scriptsize{J}}}-60^{\circ}. For reference, the horizontal solid lines are plotted in the upper two panels for the uniform distribution in ϖ\varpi, and the dashed lines indicate the 5σ\sigma upper uncertainty from Poisson statistics.
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Figure 2: As in the upper two panels of Fig. 1, but for the orbits of the observed Jupiter Trojans after 1 Myr evolution.

As of 2020 May 27, there are more than 8100 Jupiter Trojans have been registered in the Minor Planet Center111https://minorplanetcenter.net/iau/lists/JupiterTrojans.html (MPC). This population includes many objects that only have short-arc observations which may induce inaccurate orbit determinations for them. Thus we only select the Trojans that have been observed over multiple oppositions, resulting 7354 in total. To represent the true members of the Jupiter Trojans, we then numerically evolve the orbits of these samples under the perturbations of four planets in the outer solar system. The planets’ masses, initial positions, and velocities are adopted from DE405, in the heliocentric frame referred to the J2000.0 ecliptic plane at epoch 1969 June 28 (Standish, 1998). Then the planets are integrated to the specified epoch of the Trojans. Finally, we compute the orbital evolution of the considered Trojans222Here and later in Sections. 3.2 and 4, the SWIFT_RMVS3 symplectic integrator (Levison & Duncan, 1994) is used to numerically compute the orbital evolution of the Trojans. We adopt a time step of 0.5 year, which is about 1/24 of the shortest orbital period (i.e., Jupiter’s period) in our model.. At the end of the 1 Myr integration, all of them can survive around the individual Lagrangian points. Then these 7354 multioppositional and stable Jupiter Trojans could be used for our analysis. In this way, we can detect and exclude the possible transient Jupiter Trojans such as P/2019 LD2 which only can stay on Trojan-like orbit for about ten years (Hsieh et al., 2021).

Fig. 1 shows the orbital element distributions of the L4 (left column, 4625 in total) and L5 (right column, 2729 in total) populations. It can be seen in the upper two panels that, for either the L4 or L5 swarm of Jupiter Trojans, the clustering in the longitude of perihelion ϖ\varpi is readily apparent. A simple way to quantify this apsidal alignment is to compare with the number fraction fevenf_{even} of an even ϖ\varpi distribution. If we have NN Trojans in total, since the width of each ϖ\varpi bin is adopted to be 3030^{\circ}, a sample size of Nbin=(30/360)NN_{bin}=(30/360)N per bin is expected, i.e., the mean fraction feven=Nbin/N0.083%f_{even}=N_{bin}/N\approx 0.083\%. Considering the random variations about the value of fevenf_{even} due to counting statistics, the uncertainty from Poisson distribution can be calculated by σ=±fevenNbin/Nbin\sigma=\pm f_{even}\cdot\sqrt{N_{bin}}/N_{bin}. Accordingly, in the upper panels of Fig. 1, the horizontal solid and dashed lines are plotted to indicate the mean fraction fevenf_{even} and its 5σ\sigma upper uncertainty, respectively. As the peak of the histograms can achieve the value of 0.21\sim 0.21 (L5) - 0.23 (L4), much higher than the dashed line, the clustering of ϖ\varpi shows strong significance over 5σ5\sigma confidence level. Another key point shown in these two figures is that, the number peak corresponds to the bin of ϖ=3090\varpi=30^{\circ}-90^{\circ} (300330300^{\circ}-330^{\circ}) for the L4 (L5) Trojan swarm, giving a difference of around +60+60^{\circ} (60-60^{\circ}) with Jupiter’s longitude of perihelion ϖJ\varpi_{\mbox{\scriptsize{J}}} (indicated by the red line).

In order to further confirm the newly found characteristic of apsidal clustering, we need to consider the evolving orbits of Jupiter Trojans at different epoch. Since the periodicity in the variation of Jupiter’s longitude of perihelion ϖJ\varpi_{\mbox{\scriptsize{J}}} is 0.17\sim 0.17 Myr, we propose that the 1 Myr timescale is long enough to check the persistence of the apsidal confinement of Jupiter Trojans due to different precession rates of their ϖ\varpi. Then the ϖ\varpi distribution of the Jupiter Trojans after 1 Myr evolution is shown in Fig. 2, from the integration mentioned at the beginning of this section. One can immediately notice the similar patterns depicted in Fig. 1: (1) the longitudes of perihelia ϖ\varpi are clustered around ϖJ+60\varpi_{\mbox{\scriptsize{J}}}+60^{\circ} and ϖJ60\varpi_{\mbox{\scriptsize{J}}}-60^{\circ} for the L4 and L5 swarms, respectively; (2) the number fraction of the clustered samples within a ϖ\varpi bin could be over 0.2, which is significantly larger than feven0.083f_{even}\sim 0.083 (>5σ>5\sigma confidence level) in the case of a uniform ϖ\varpi distribution. Therefore, the apsidal asymmetric-alignment of Jupiter Trojans should be intrinsic but not due to the observational bias. We suppose that the gravitational perturbation of Jupiter with eccentricity eJ0.05e_{\mbox{\scriptsize{J}}}\sim 0.05 may induce and maintain this intriguing orbital distribution, and an explanation will be offered in the next section.

However, the longitudes of ascending nodes (Ω\Omega) of Jupiter Trojans are not visually clustered in any Ω\Omega bin, as shown in the lower panels of Fig. 1. The element Ω\Omega measures the azimuthal direction of an object’s orbital plane. Since Jupiter has a very low inclination, which is only about 0.30.3^{\circ} relative to the invariable plane of the solar system, this planet could not induce a significant clustering of the orbital planes of its Trojan population. Then it is quite understandable that there appears such a nearly uniform Ω\Omega distribution of Jupiter Trojans.

3 Apsidal clustering: analysis

3.1 Theoretical approach

In this subsection, to explore the existence of the apsidally aligned libration islands in the phase space, we consider the spatial elliptical restricted three-body problem (SERTBP) that consists of the Sun, Jupiter and a Jupiter Trojan. Since Jupiter Trojans reside in the 1:1 MMR with Jupiter, for such a co-orbital motion, the classical theoretical approach via the expansion of the disturbing function would fail (see Murray & Dermott, 1999, chap. 6). Nevertheless, some new analytical treatments have been developed, such as the secular theories in Morais (1999) and Namouni (1999), the perturbative scheme in Nesvorný et al. (2002), and the symplectic mapping model in Lhotka et al. (2008). Here we adopt a semi-analytic way to evaluate the resonant disturbing function with no expansion. We refer the reader to Gallardo (2006) for more details on the following calculations.

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Figure 3: The phase space structure near Jupiter’s 1:1 MMR for the Lagrangian point L4, for the planar case of i=0i=0, and the inclined cases of i=20,40i=20^{\circ},40^{\circ} and Ω=0,90\Omega=0,90^{\circ} (see the labels in individual panels). It shows that there is always a stable equilibrium point around Δϖ=ϖϖJ=60\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}=60^{\circ} for the L4 Trojan swarm. The red curve indicates the separatrix dividing the libration and circulation regions. In the calculation of the Hamiltonian by equation (7), the eccentricity eJe_{\mbox{\scriptsize{J}}} of Jupiter is taken to be its real value of 0.05.
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Figure 4: The same as Fig. 3, but for the Lagrangian point L5. It shows that the stable equilibrium point locates around Δϖ=ϖϖJ=60\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}=-60^{\circ} for the L5 Trojan swarm.

In the framework of the SERTBP, the instantaneous Hamiltonian can be written as

=μ2a+nJΛJ(a,e,i,Δϖ,Ω,λ,λJ),μ=Gm,\mathcal{H}=-\frac{\mu}{2a}+n_{J}\Lambda_{\mbox{\scriptsize{J}}}-\mathcal{R}(a,e,i,\Delta\varpi,\Omega,\lambda,\lambda_{\mbox{\scriptsize{J}}}),~{}~{}~{}~{}~{}~{}\mu=Gm_{\odot}, (1)

where GG is the gravitational constant, mm_{\odot} is the mass of the Sun, nJn_{\mbox{\scriptsize{J}}} is the mean motion of Jupiter, and ΛJ\Lambda_{\mbox{\scriptsize{J}}} is the action variable conjugated to Jupiter’s mean longitude λJ\lambda_{\mbox{\scriptsize{J}}}. The disturbing function \mathcal{R} arising in equation (1) is related to the semimajor axis aa, eccentricity ee, inclination ii and mean longitude λ\lambda of the Jupiter Trojan, together with the relative longitude of pericenter Δϖ(=ϖϖJ)\Delta\varpi~{}(=\varpi-\varpi_{\mbox{\scriptsize{J}}}), the longitude of ascending node Ω\Omega and Jupiter’s mean longitude λJ\lambda_{\mbox{\scriptsize{J}}} (see Morbidelli (2002) or Murray & Dermott (1999) for more details).

To discuss the resonance dynamics of Jupiter Trojans, let us introduce the critical argument

ψ=λλJ.\psi=\lambda-\lambda_{\mbox{\scriptsize{J}}}. (2)

Thus, the disturbing function can be denoted by (a,e,i,Δϖ,Ω,ψ,λJ){\cal R}(a,e,i,\Delta\varpi,\Omega,\psi,\lambda_{\mbox{\scriptsize{J}}}). Since the Trojans are trapped in the 1:1 MMR, the resonant angle ψ\psi has a slow time evolution. Therefore, we can average the disturbing function over the fast variable λJ\lambda_{\mbox{\scriptsize{J}}} to remove it

(a,e,i,Δϖ,Ω,ψ)=12π02πdλJ.{{\cal R}^{\rm{*}}}(a,e,i,\Delta\varpi,\Omega,\psi)=\frac{1}{{2\pi}}\int\limits_{0}^{2\pi}{{\cal R}~{}\mbox{d}{\lambda_{\mbox{\scriptsize{J}}}}}. (3)

For convenience, we choose the modified Delaunay’s variables (Morbidelli, 2002),

λ=M+ϖ,Λ=μa,\displaystyle\lambda=M+\varpi,~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\Lambda=\sqrt{\mu a}, (4)
p=ϖ,P=μa(11e2),\displaystyle p=-\varpi,~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}P=\sqrt{\mu a}\left({1-\sqrt{1-{e^{2}}}}\right),
q=Ω,Q=μa(11e2)(1cosi),\displaystyle q=-\Omega,~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}Q=\sqrt{\mu a}\left({1-\sqrt{1-{e^{2}}}}\right)(1-\cos i),
λJ,ΛJ,\displaystyle\lambda_{\mbox{\scriptsize{J}}},~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}{\Lambda_{\mbox{\scriptsize{J}}}},
ϖJ,PJ,\displaystyle\varpi_{\mbox{\scriptsize{J}}},~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}P_{\mbox{\scriptsize{J}}},

which can be canonically transformed to

φ1\displaystyle{\varphi_{1}} =λλJ=ψ,Φ1=Λ,\displaystyle=\lambda-{\lambda_{\mbox{\scriptsize{J}}}}=\psi,~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\quad{\Phi_{1}}=\Lambda, (5)
φ2\displaystyle{\varphi_{2}} =pϖJ=Δϖ,Φ2=P,\displaystyle=-p-{\varpi_{\mbox{\scriptsize{J}}}}=\Delta\varpi,~{}~{}~{}~{}~{}~{}~{}~{}~{}\quad{\Phi_{2}}=-P,
φ3\displaystyle{\varphi_{3}} =q=Ω,Φ3=Q,\displaystyle=-q=\Omega,~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\quad{\Phi_{3}}=-Q,
φ4\displaystyle{\varphi_{4}} =λJ,Φ4=ΛJ+Λ,\displaystyle={\lambda_{\mbox{\scriptsize{J}}}},~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\quad{\Phi_{4}}={\Lambda_{\mbox{\scriptsize{J}}}}+\Lambda,
φ5\displaystyle{\varphi_{5}} =ϖJ,Φ5=PJP,\displaystyle={\varpi_{\mbox{\scriptsize{J}}}},~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\quad{\Phi_{5}}={P_{\mbox{\scriptsize{J}}}}-P,

through the following generating function,

𝒮=(λλJ)Φ1(p+ϖJ)Φ2qΦ3+λJΦ4+ϖJΦ5.{\cal S}=\left({\lambda-{\lambda_{\mbox{\scriptsize{J}}}}}\right){\Phi_{1}}-\left({p+{\varpi_{\mbox{\scriptsize{J}}}}}\right){\Phi_{2}}-q{\Phi_{3}}+{\lambda_{\mbox{\scriptsize{J}}}}{\Phi_{4}}+{\varpi_{\mbox{\scriptsize{J}}}}{\Phi_{5}}. (6)

Under the new set of canonical variables, the averaged Hamiltonian becomes

\displaystyle{{\cal H}^{{*}}} =μ22Φ12nJΦ1(Φ1,Φ2,Φ3,ψ,Δϖ,Ω),\displaystyle=-\frac{{{\mu^{2}}}}{{2\Phi_{1}^{2}}}-n_{\mbox{\scriptsize{J}}}{\Phi_{1}}-{{\cal R}^{\rm{*}}}\left({{\Phi_{1}},{\Phi_{2}},{\Phi_{3}},\psi,\Delta\varpi,\Omega}\right), (7)
=μ22anJμa(a,e,i,ψ,Δϖ,Ω)\displaystyle=-\frac{{{\mu^{2}}}}{{2a}}-n_{\mbox{\scriptsize{J}}}\sqrt{\mu a}-{{\cal R}^{\rm{*}}}\left({a,e,i,\psi,\Delta\varpi,\Omega}\right)

Since the longitude of perihelion of Jupiter does not change in the SERTBP, the value of ϖJ{\varpi_{\mbox{\scriptsize{J}}}} could be set to be 0. Then both the variables ϖJ{\varpi_{\mbox{\scriptsize{J}}}} and λJ\lambda_{\mbox{\scriptsize{J}}} are cyclic coordinates, and equation (7) actually determines a dynamical model with three degrees of freedom, i.e., (φ1,φ2,φ3,Φ1,Φ2,Φ3)(\varphi_{1},\varphi_{2},\varphi_{3},\Phi_{1},\Phi_{2},\Phi_{3}).

We assume that the critical argument ψ\psi is fixed at the classical Lagrangian point, i.e., ψ=λλJ=60\psi=\lambda-\lambda_{\mbox{\scriptsize{J}}}=60^{\circ} for L4 or ψ=λλJ=60\psi=\lambda-\lambda_{\mbox{\scriptsize{J}}}=-60^{\circ} for L5. Under such a typical assumption (Nesvorný & Dones, 2002), the dynamical model determined by equation (7) reduces to a system of two degrees of freedom, in which Δϖ\Delta\varpi and Ω\Omega are the associated angular coordinates. As a consequence, for a given pair of (ii, Ω\Omega), the global dynamical behaviors of Jupiter Trojans can be displayed by the level curves of the Hamiltonian in the pseudo phase space (ee, Δϖ\Delta\varpi).

Fig. 3 presents the phase space structure in (ee, Δϖ\Delta\varpi) near Jupiter’s 1:1 MMR, for the Lagrangian point L4. Corresponding to the planar case (i.e., i=0i=0), Fig. 3a shows that there exists a stable equilibrium point at Δϖ60\Delta\varpi\approx 60^{\circ}. The apsidally aligned libration islands found here are consistent with the results from Nesvorný & Dones (2002), and this could validate the Hamiltonian model adopted in this paper. Then we further consider the spatial co-orbital motion, the inclinations are fixed at large values of i=20i=20^{\circ} and 4040^{\circ}, given two representative longitudes of ascending nodes (Ω=0\Omega=0 and 9090^{\circ}). The resulting portraits (Figs. 3 b-d) show that, even in the highly inclined cases, the equilibrium point of Δϖ\Delta\varpi still exists around 6060^{\circ}; while the shapes of the libration islands may twist. Actually, according to our extra tests, the existence of such an equilibrium point is independent on the orbital elements i40i\leq 40^{\circ} and Ω[0,360]\Omega\in[0,360^{\circ}]. Taken in total, the theoretical approach indicates that the L4 Trojans can keep their orbital ellipses oriented with ϖϖJ+60\varpi\approx\varpi_{\mbox{\scriptsize{J}}}+60^{\circ}, leading to the apsidal asymmetric-alignment depicted in Figs. 1 and 2.

We notice that the median eccentricity eme_{m} in the libration island is about 0.05, which likely corresponds to Jupiter’s eccentricity (eJ=0.05e_{\mbox{\scriptsize{J}}}=0.05). As a matter of fact, Nesvorný et al. (2002) showed that, in the planar case, eme_{m} is always approximately equal to eJe_{\mbox{\scriptsize{J}}} as the latter artificially increases. This may qualitatively show that Jupiter’s eccentric orbit does control the apsidal configuration of its Trojan population. Then we have to point out that, as long as the real value of eJ=0.05e_{\mbox{\scriptsize{J}}}=0.05 is adopted, the libration islands locates below the separatrix going through a critical eccentricity of ec0.1e_{c}\approx 0.1 (see the red curve in Fig. 3a). This suggests that the Jupiter Trojans trapped in the apsidally aligned libration islands should have the maximum ee smaller than 0.1, otherwise Δϖ\Delta\varpi may experience a full circulation between 0 and 360360^{\circ}. While we find that the condition e<ec0.1e<e_{c}\approx 0.1 can only be fulfilled for a small fraction (20%\sim 20\%) of the observed Jupiter Trojans, and some objects with current osculating e<0.1e<0.1 may cross this upper limit during the long-term evolution. Besides, the inclinations of the Trojans are evolving with time but not steady, this could somewhat affect the profiles of the level curves on the phase space (ee, Δϖ\Delta\varpi) as indicated by Figs. 1 and 2. Therefore, in order to quantitatively understand the apsidal alignment phenomena, further investigation is clearly warranted.

For the Lagrangian point L5, the corresponding phase space structures at different ii values have also been constructed, as shown in Fig. 4. It can been seen that, by comparing with Fig. 3 (for the L4 point), these two sets of portraits show symmetry concerning the libration islands: (1) the stable equilibrium points are around Δϖ60\Delta\varpi\approx-60^{\circ}, where the L5 Trojans are clustered as shown in the right panels of Figs.1 and 2; (2) the other properties of level curves, either in the libration islands or in the circulation regions, are nearly the same. This is not unexpected since the dynamics around the L5 point is a mirror image of the L4 point in the restricted three-body problem. Furthermore, as noted in Section 1 and some other previous works (Nesvorný & Dones, 2002; Di Sisto et al., 2014; Holt et al., 2020), under the gravitational effects of the four outer planets, the L4 and L5 Trojan swarms show almost the identical dynamical structure and stability in the long-term evolution. We thereby will only consider the L4 Jupiter Trojans in the following sections.

3.2 Towards the explanation of the observation

From the above semi-analytical results, we deduce that the apsidal alignment should appear for the Jupiter Trojans with e<0.1e<0.1. When considering the dynamics of the Jovian Trojans, generally the proper elements are adopted (Milani, 1993; Beaugé & Roig, 2001). The proper elements can be understood as the average motion by eliminating the short periodic oscillations from the osculating elements (Morbidelli et al., 2005). Following Morbidelli & Nesvorný (1999) and Lykawka & Mukai (2005), we compute the numerical proper eccentricities epe_{p} by averaging the 2000 yr time-step output from the entire 1 Myr integration333The orbital data used in this subsection is from the numerical simulations performed in Section 2, i.e., using the SWIFT_RMVS3 symplectic integrator to calculate the dynamical evolution of the Trojans under the perturbations of four outer planets.. We then find that, for the observed Trojans having ep<0.1e_{p}<0.1, a considerable portion of them actually are not confined by Jupiter’s perihelion. We suppose that their osculating eccentricities may not be exclusively small enough (i.e., <0.1<0.1), and the corresponding orbits could temporarily escape the Δϖ\Delta\varpi libration islands as shown in Fig. 3.

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Figure 5: Distribution of the difference of the longitudes of perihelia (Δϖ=ϖϖJ\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}) between a subset of L4 Trojans and Jupiter: (a) Population \@slowromancapi@ with maximum eccentricities eMax<0.1e_{\mbox{\scriptsize{Max}}}<0.1 during the 1 Myr evolution; (b) Population \@slowromancapii@ with eMax>0.1e_{\mbox{\scriptsize{Max}}}>0.1 but proper eccentricities ep<0.1e_{p}<0.1; (c) Population \@slowromancapiii@ with ep>0.1e_{p}>0.1. The number fraction of a uniform Δϖ\Delta\varpi distribution, and its 5σ\sigma upper uncertainty are also indicated by the horizontal solid and dashed lines, respectively. In the bottom panel, the 2σ\sigma uncertainty is additionally plotted as the apsidal clustering is weaker for Population \@slowromancapiii@.

In order to characterize the variation of the instantaneous osculating eccentricity, besides the proper value epe_{p} for eccentricity, we additionally introduce the maximum value eMaxe_{\mbox{\scriptsize{Max}}}. As we mentioned before, hereafter the analysis would be carried out only for the Jupiter Trojans around the L4 point. For the 4625 known L4 Trojans, we split them into three groups according to their eccentricities, and the individual distributions of Δϖ(=ϖϖJ)\Delta\varpi~{}(=\varpi-\varpi_{\mbox{\scriptsize{J}}}) at the end of the 1 Myr integration are presented in Fig. 5:

(1) Population \@slowromancapi@: these objects have eMax<0.1e_{\mbox{\scriptsize{Max}}}<0.1 during the entire 1 Myr evolution, surely the condition ep<0.1e_{p}<0.1 is fulfilled. The total number of this population is N1=1656N_{1}=1656, i.e., a fraction of p136%p_{1}\sim 36\% of the L4 Trojans. Since their eccentricities would never exceed 0.1, theoretically they are allowed to persistently reside in the islands of Δϖ\Delta\varpi libration shown in Fig. 3. Consequently, we notice in Fig. 5a that, almost all of the Population \@slowromancapi@ samples are clustered in the interval Δϖ=0120\Delta\varpi=0-120^{\circ}, and the peak matches the theoretical equilibrium point at Δϖ=60\Delta\varpi=60^{\circ}.

(2) Population \@slowromancapii@: these objects have ep<0.1e_{p}<0.1 but eMax>0.1e_{\mbox{\scriptsize{Max}}}>0.1 (N2=2348N_{2}=2348 and p251%p_{2}\sim 51\%). This indicates that they would have their osculating eccentricities occasionally increased to e>0.1e>0.1, while for a larger time fraction of the evolution their orbits lie within the e<0.1e<0.1 range. Fig. 5b shows that the apsidal confinement of Population \@slowromancapii@ is still quite noticeable, as the histogram bins around Δϖ=60\Delta\varpi=60^{\circ} could be higher than the dashed line, which indicates a significant variation from a uniform Δϖ\Delta\varpi distribution (see the solid line) at the 5σ5\sigma confidence level.
Nevertheless, Population \@slowromancapii@ has a much less prominent clustering of ϖ\varpi than Population \@slowromancapi@, because during some time intervals they have osculating eccentricities e>0.1e>0.1 and populate outside the apsidal alignment islands in Fig. 3. Through a deeper analysis of the orbital evolution of the Population \@slowromancapii@ samples in our numerical integration, we find that the objects located in the vicinity of Δϖ=60\Delta\varpi=60^{\circ} keep changing. That is to say the objects aligned in ϖ\varpi at a certain time t1t_{1} could be much different from those at another time t2t_{2}. For instance, we considered a subset of Population \@slowromancapii@ with eMax=0.110.12e_{\mbox{\scriptsize{Max}}}=0.11-0.12, which has a total number of 462. From the beginning of the integration, there are 88 objects trapped in the region of Δϖ=60±20\Delta\varpi=60^{\circ}\pm 20^{\circ} at t=0.1t=0.1 Myr, and 105 such apsidally aligned objects are identified at t=1t=1 Myr, but only 11 are the same ones.

(3) Population \@slowromancapiii@: they have larger ep>0.1e_{p}>0.1 (N3=612N_{3}=612 and p313%p_{3}\sim 13\%) and spend a considerable fraction of time outside the theoretical libration islands of Δϖ\Delta\varpi. Naturally, the distribution of Δϖ\Delta\varpi shown in Fig. 5c becomes rather flat by comparing with Fig. 5b. Nevertheless, we cannot fail noticing that although the apsidal alignment of Population \@slowromancapiii@ is weak, but still visible. We determined a lower significance limit at about 2σ2\sigma uncertainty, as indicated by the dotted line. So why not their ϖ\varpi could disperse well enough to be close to a uniform distribution (represented by the solid line)? The reason should be attributed to the fact that the objects with minimum eccentricities larger than 0.1, i.e., could hardly experience the Δϖ\Delta\varpi libration phase, are as few as <1%<1\% among Population \@slowromancapiii@.

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Figure 6: For the Jupiter Trojans with proper eccentricities ep<0.1e_{p}<0.1 from Population \@slowromancapi@ and Population \@slowromancapii@, as a function of their maximum eccentricities eMaxe_{\mbox{\scriptsize{Max}}}, the time fraction TfracT_{frac} that they spend in the range of |Δϖ60|<δ=30|\Delta\varpi-60^{\circ}|<\delta=30^{\circ} (orange), 4040^{\circ} (green), 5050^{\circ} (blue) and 6060^{\circ} (red). The dashed line with the corresponding colour shows that, if the apsidal confinement does not emerge, the Trojans would have a fixed time fraction within the range of |ΔϖΔϖ0|<δ|\Delta\varpi-\Delta\varpi_{0}|<\delta for any Δϖ0[0,360]\Delta\varpi_{0}\in[0,360^{\circ}].

In order to quantitatively measure how tight the apsidal clustering of Jupiter Trojans is, similar to the study of the stickiness effect in chaotic system (Zhou et al., 2014), in this work we define a time index TfracT_{frac}. During the 1 Myr evolution, once a Trojan settles into the neighborhood of the Δϖ\Delta\varpi equilibrium point, characterized by |Δϖ60|<δ|\Delta\varpi-60^{\circ}|<\delta, the length of the time interval is recorded. Then the time index is computed as the total time fraction

Tfrac=mtime interval(|Δϖ60|<δ)total integration time (=1 Myr),T_{frac}=\frac{\sum_{m}\mbox{time interval}~{}(|\Delta\varpi-60^{\circ}|<\delta)}{\mbox{total integration time (=1 Myr)}}, (8)

where mm is the number of times that the Trojan enters this Δϖ\Delta\varpi range. Now we consider the Jupiter Trojans with ep<0.1e_{p}<0.1, i.e., from Population \@slowromancapi@ and Population \@slowromancapii@. They comprise about 87%87\% of the L4 swarm and hence dominate the overall orbital distribution. Here δ\delta is adopted to be 3030^{\circ}, 4040^{\circ}, 5050^{\circ} and 6060^{\circ}, and correspondingly the variation of TfracT_{frac} is plotted as a function of eMaxe_{\mbox{\scriptsize{Max}}} in Fig. 6. The dashed line indicates that, if an object spends equal time in the range of |ΔϖΔϖ0|<δ|\Delta\varpi-\Delta\varpi_{0}|<\delta for any Δϖ0[0,360]\Delta\varpi_{0}\in[0,360^{\circ}], the resultant time fraction is fixed at Tfrac=2δ/360T_{frac}=2\delta/360.

The most important result depicted in Fig. 6 is that, for these Trojans, the temporal variation in ϖ\varpi is far from uniform. Taking the case of δ=60\delta=60^{\circ} for example, the red curve always lies above the red dashed line, meaning that a Trojan with ep<0.1e_{p}<0.1 would have its ϖ\varpi stuck in a narrow region centered on ϖJ+60\varpi_{\mbox{\scriptsize{J}}}+60^{\circ} for a considerable fraction of time. As a result, through a global view of the Trojan population at any specific moment, we would observe the apsidal clustering of their orbits. This phenomenon could be analogous to the spiral arms in galaxies, which is not merely a static accumulation of stars and dust, as explained by the density wave model (Lin et al., 1969). Especially, for the Population \@slowromancapi@ samples with eMax<0.1e_{\mbox{\scriptsize{Max}}}<0.1 (i.e., the condition e<ec0.1e<e_{c}\approx 0.1 is always satisfied), they could be trapped in the range of Δϖ=60±60=0120\Delta\varpi=60^{\circ}\pm 60^{\circ}=0-120^{\circ} over a time fraction of Tfrac>80%T_{frac}>80\%. Such a large TfracT_{frac} can nicely explain the prominent components of Population \@slowromancapi@ confined in this very Δϖ\Delta\varpi range (see Fig. 5a).

Additionally, the profiles of the curves in Fig. 6 show that, TfracT_{frac} decreases as a function of increasing eMaxe_{\mbox{\scriptsize{Max}}}. Since the osculating eccentricity of a Trojan’s orbit evolves with time, the maximum value eMaxe_{\mbox{\scriptsize{Max}}} can represent a particular level curve in the phase space (ee, Δϖ\Delta\varpi), as displayed in Fig. 3. When eMaxe_{\mbox{\scriptsize{Max}}} becomes larger, the libration island centered on the equilibrium point at Δϖ=60\Delta\varpi=60^{\circ} will be increasing in size, leading to fewer part of it located inside a given Δϖ\Delta\varpi range. Correspondingly, for the orbit in the physical space, it would be confined in the region |Δϖ60|<δ|\Delta\varpi-60^{\circ}|<\delta for a smaller time fraction TfracT_{frac}. And obviously, the value of TfracT_{frac} is increasing with the width of the variation in Δϖ\Delta\varpi, as characterized by the parameter δ\delta.

In summary, the vast majority of the observed L4 Trojans have proper eccentricities epe_{p} smaller than 0.1, and they are evolving on the orbits with osculating eccentricities e<0.1e<0.1 for a large period of time in which they could wander inside the libration islands of Δϖ\Delta\varpi. This scenario could account for the apsidal confinement of the entire Trojan population.

4 Apsidal clustering: reproduction

The planetesimals could have been chaotically captured into Jupiter’s co-orbital regions during the early evolution of the solar system within the Nice model (Tsiganis et al., 2005; Morbidelli et al., 2005). At the end of this process, their longitudes of perihelia should cover all values of ϖ=0360\varpi=0-360^{\circ}. Therefore, we would like to investigate that whether the apsidal asymmetric-alignment of the currently observed Jupiter Trojans, could be generated from an even ϖ\varpi distribution in the later long-term evolution. As the study in the previous sections is indicative of this peculiar orbital structure, the numerical experimentation is to be carried out to evaluate the effect of the secular perturbation of the eccentric Jupiter.

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Figure 7: For simulated Jupiter Trojans starting with longitudes of perihelia chosen uniformly in the range of ϖ=0360\varpi=0-360^{\circ} (equivalent to Δϖ=ϖϖJ=0360\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}=0-360^{\circ}), the evolving distribution of Δϖ\Delta\varpi at t=105t=10^{5} yr (top panel), 10810^{8} yr (middle panel) and 10910^{9} yr (bottom panel). The solid and dashed lines represent the uniform distribution of Δϖ\Delta\varpi and the 5σ5\sigma significance, respectively.
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Figure 8: Left column: Initial Δϖ\Delta\varpi of simulated Jupiter Trojans assigning from Gaussian distributions with means of μ=0,90,90,180\mu=0,90^{\circ},-90^{\circ},180^{\circ} (from top to bottom). For the bin next to the location Δϖ=μ\Delta\varpi=\mu, the initial number fraction could peak over 0.2. Right column: The corresponding final distribution of Δϖ\Delta\varpi after 10910^{9} yr evolution. As well, the uniform distribution (solid line) and its 5σ5\sigma significance (dashed line) are indicated in each panel.

In this section, we still adopt the present outer solar system model, consisting of the Sun and four giant planets (i.e., Jupiter, Saturn, Uranus and Neptune). As in recent dynamical explorations of the Jupiter Trojans (e.g., Hellmich et al. (2019), Holt et al. (2020)), to construct robust simulations, we follow the long-term evolution of 30,000 test Trojans around the L4 point. Initially, all particles have the same semimajor axis (a5.2a\approx 5.2 AU) with Jupiter. And similar to the observed Trojan population, they have ee ranging from 00.30-0.3 and a broad inclination distribution of i=040i=0-40^{\circ}. The initial orbital angles are chosen such that particles start from Ω=0\Omega=0 and ψ=λλJ=3090\psi=\lambda-\lambda_{\mbox{\scriptsize{J}}}=30^{\circ}-90^{\circ}, while the values of their ϖ\varpi are randomly selected between 0 and 360360^{\circ}. We then monitor the orbital evolution of these test Trojans in the long-term numerical integration.

Bearing in mind that, for Jupiter, the periodicity in the variation of its longitude of perihelion ϖJ\varpi_{\mbox{\scriptsize{J}}} is about 1.7×1051.7\times 10^{5} yr. So given a relatively shorter timescale of 10510^{5} yr, in the top panel of Fig. 7, we provide the first glance at the evolving distribution of Δϖ=ϖϖJ\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}. At this moment, there are a total of 26,117 particles (i.e., 87.1%87.1\%) found on Trojan orbits, characterized by the librating critical arguments ψ\psi. We notice that, although the distribution of Δϖ\Delta\varpi is seemingly accumulated around 6060^{\circ}, it is in fact very close to the uniform distribution indicated by the solid line.

As the time passes, due to the secular perturbation of the eccentric Jupiter, the simulated Trojans can reach the orbits which are more and more apsidally aligned. At the epoch of 10810^{8} yr, as shown in the middle panel of Fig. 7, the clustering in Δϖ\Delta\varpi is quite obvious. And when the integration ends at 10910^{9} yr, on the order of the age of the solar system, there remain 10,417 objects (i.e., 34.7%\sim 34.7\% of initial samples) librating around the L4 point. For these simulated Trojans, as shown in the bottom panel of Fig. 7, the largest fraction of objects clustered adjacent to the location of Δϖ=60\Delta\varpi=60^{\circ} is as high as 0.2\sim 0.2. We recall that the distribution of the longitudes of perihelia of the observed L4 Trojans, as displayed in the left panels of Figs. 1 and 2, also has a comparable peak next to the same location.

At the beginning of this section we assumed that the planetesimals deposited in Jupiter’s Trojan clouds in the framework of the Nice model have uniformly-distributed ϖ\varpi. Although it is a reasonable assumption since the evolution of the planetesimal is chaotic, the capture into libration around the L4 or L5 point could be dependent on the pre-capture orbit of the planetesimal. For instance, such a dependence may be that the perihelion distance of the planetesimal is smaller than that of Jupiter. Besides, there also may be other constraints imposed on the planetesimal’s orbit including the angle ϖ\varpi describing its orientation. Then some additional simulations have been carried out, by assigning initial Δϖ\Delta\varpi values randomly from a Gaussian distribution

f(Δϖ)=12πσ^exp[(Δϖμ)22σ^2],f(\Delta\varpi)=\frac{1}{\sqrt{2\pi}\hat{\sigma}}\mbox{exp}\left[-\frac{(\Delta\varpi-\mu)^{2}}{2{\hat{\sigma}}^{2}}\right], (9)

where μ\mu is the mean, and the standard deviation σ^\hat{\sigma} is taken to be 0.3. The initial ϖ\varpi of test Trojans can simply determined as ϖJ+Δϖ\varpi_{\mbox{\scriptsize{J}}}+\Delta\varpi.

For each set of 3000 test Trojans, we choose the mean μ\mu to be one of four representative values of 0,90,90,1800,90^{\circ},-90^{\circ},180^{\circ}, and the associated Δϖ\Delta\varpi distribution is plotted in the left column in Fig. 8 (from top to down). We can see that the initial number fraction of test Trojans within the bin next to Δϖ=μ\Delta\varpi=\mu could peak over 0.2. Keeping the other initial conditions of the system, we repeat the 10910^{9} yr numerical integrations for the simulated Jupiter Trojans, and the final distributions of Δϖ\Delta\varpi are summarized in the right column in Fig. 8. The main feature is that, starting from any Δϖ\Delta\varpi distribution, the simulated Trojans would eventually reach the state of apsidal alignment around Δϖ=60\Delta\varpi=60^{\circ}. Through a closer look at the cases of μ=90,180\mu=-90^{\circ},180^{\circ}, one notices that although the region near Δϖ=60\Delta\varpi=60^{\circ} was nearly empty (two lower left panels), the expected apsidal alignment of the Trojans within this region can still be seen at the end of the 10910^{9} yr evolution (two lower right panels). This provides support for the results obtained from our previous run with an initially uniform Δϖ\Delta\varpi distribution. We end by noting that the previous run using 30000 test Trojans is quite “expensive”, and more than a month of CPU time is needed. As a matter of fact, we found that an order of magnitude fewer objects could be a sufficient sample size to perform the statistical analysis. Therefore, in order to save computational time, we use a set of 3000 test Trojans (for each μ\mu) for the simulations with different set-up of Δϖ\Delta\varpi distribution, and the results are considered robust.

In summary, we conclude that the apsidal asymmetric-alignment of Jupiter Trojans should be a natural consequence of Jupiter’s secular perturbation. The orbital orientations of the Jupiter Trojans at the moment of capture could affect the extent of the clustering in their ϖ\varpi, but only slightly and would not alter the overall ϖ\varpi distribution. The origin of the Jupiter Trojans still remains uncertain, and a thorough exploration goes beyond the scope of this paper.

5 Conclusions and discussion

This work is inspired by the hypothesis that the eccentric and inclined Planet 9 could cause the orbital clustering of the extreme KBOs beyond 250 AU (Batygin & Brown, 2016). As Jupiter has a relatively large eccentricity (eJ0.05e_{\mbox{\scriptsize{J}}}\sim 0.05) among the planets in the outer solar system, for the observed Jupiter Trojans with the number in excess of 7000, we statistically analyzed the distribution of their orbital orientations.

It is interesting to find that, the L4 and L5 Trojan swarms have longitudes of perihelia ϖ\varpi gathered around ϖJ+60\varpi_{\mbox{\scriptsize{J}}}+60^{\circ} and ϖJ60\varpi_{\mbox{\scriptsize{J}}}-60^{\circ} (ϖJ\varpi_{\mbox{\scriptsize{J}}} is the longitude of perihelion of Jupiter), respectively. And for the ϖ\varpi bins with the width of 3030^{\circ}, either of these two swarms has a number fraction peaked over 0.2, which is much larger than the fraction of 0.083\sim 0.083 resulted from the uniform distribution, at the 5σ5\sigma confidence level from Poisson statistics. This suggests that the apsidal asymmetric-alignment of Jupiter Trojans is noticeable. By integrating the orbits of Jupiter Trojans up to 1 Myr, the clustering in ϖ\varpi can persist over time, thus this orbital characteristic should be robust but not due to the observational bias. The apsidal clustering of the Trojans is supposed to be caused by Jupiter which possesses a relatively large eccentricity of eJ0.05e_{\mbox{\scriptsize{J}}}\sim 0.05. However, the distribution of the longitudes of ascending nodes for the observed Trojans is rather uniform, since the inclination of Jupiter is very low.

Next, in the framework of the spatial elliptical restricted three-body problem, we developed a theoretical approach to understand the clustering in ϖ\varpi for the Jupiter Trojans. The averaged Hamiltonian with three degrees of freedom is derived to describe the dynamics of the 1:1 mean motion resonance. By taking the resonant angle to be ψ=60\psi=60^{\circ} (60-60^{\circ}) for the L4 (L5) Trojan swarm, the Hamiltonian can be reduced to a two degrees of freedom system, in which the momenta are in terms of the Trojan’s eccentricity ee and inclination ii. Then we provide a global view of the dynamical aspects for the co-orbital motion in the phase space (ee, Δϖ\Delta\varpi), where Δϖ=ϖϖJ\Delta\varpi=\varpi-\varpi_{\mbox{\scriptsize{J}}}. The portraits show that there are equilibrium points at (eeJ,Δϖ±60e\sim e_{\mbox{\scriptsize{J}}},\Delta\varpi\sim\pm 60^{\circ}), either for the coplanar or inclined cases with i40i\leq 40^{\circ}. This can nicely account for the distinctive apsidal asymmetric-alignment of Jupiter Trojans as revealed above. We further note that the apsidally aligned islands of libration exist only for the Trojan-like orbits with e<ec0.1e<e_{c}\sim 0.1, and this is essentially determined by Jupiter’s eccentricity eJ0.05e_{\mbox{\scriptsize{J}}}\sim 0.05. However, only a small fraction of the known Jupiter Trojans satisfy this eccentricity condition.

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Figure 9: The libration center ψ0\psi_{0} of the 1:1 mean motion resonance with respect to the eccentricity ee for the inclination i=0i=0 (red), 2020^{\circ} (blue) and 4040^{\circ} (green), determined from the circular restricted three-body model.

For better understanding the influence of the Trojan’s eccentricity, the proper value epe_{p} and the maximum value eMaxe_{\mbox{\scriptsize{Max}}} are computed in their 1 Myr evolution. Previous studies show that the two Lagrangian points have almost the identical dynamical features concerning the orbits around them, thus we then consider only the L4 Trojans. We introduced a time index TfracT_{frac} to measure the fraction of time that the L4 swarm has ϖ\varpi placed in the range of |Δϖ60|<δ=60|\Delta\varpi-60^{\circ}|<\delta=60^{\circ}. The results show that, for the population with ep<0.1e_{p}<0.1, the derived time fraction TfracT_{frac} is much larger than the value corresponding to a uniform variation of ϖ\varpi in time. It suggests that although some objects evolve to the orbits with osculating eccentricities exceeding 0.1 (i.e., having eMax>0.1e_{\mbox{\scriptsize{Max}}}>0.1), and accordingly could temporarily escape the libration islands of Δϖ\Delta\varpi, they actually spend most of their time in the said Δϖ\Delta\varpi range. Because the more eccentric Trojans with ep>0.1e_{p}>0.1 are very few in number, the entire Trojan population would display the obvious apsidal alignment.

Finally, we proceed to investigate whether Jupiter Trojans could reach this peculiar orbital structure in the long-term evolution. Initially, tens of thousands of test Trojans around the L4 point are uniformly distributed between ϖ=0360\varpi=0-360^{\circ}, given e=00.3e=0-0.3 and i=040i=0-40^{\circ}. Then by numerical simulations, we compute the evolution of these samples, sculpted by the eccentric Jupiter and the other three planets in the outer solar system. The orbital distributions obtained at different epochs show that, as time passes, the clustering of the simulated Trojans around Δϖ=60\Delta\varpi=60^{\circ} becomes more and more prominent. And at the end of the 10910^{9} yr integration, the number fraction of the apsidally aligned objects is peaked about 0.2, for the Δϖ\Delta\varpi bins with the width of 3030^{\circ}, similar to what is observed in the real Trojan population. A series of additional runs, for which the test Trojans have initial ϖ\varpi obeying Gaussian distributions with different means, have also been carried out. We find that the similar apsidal alignment around Δϖ=60\Delta\varpi=60^{\circ} can always be reproduced.

In this work, our theoretical approach built on the restricted three-body model suffers from a minor problem: for the 1:1 resonant angle ψ\psi of the co-orbital motion, the libration center ψ0\psi_{0} does not fix at the classical Lagrangian point of 6060^{\circ} (L4) or 60-60^{\circ} (L5), but it actually varies with the Trojans’ eccentricities ee and inclinations ii. By expanding the disturbing function to the fourth order in ee and ii, Namouni & Murray (2000) studied the orbits librating around L4 or L5 with small amplitudes, and they showed that the displacements of equilibrium points from the equilateral configuration increase as a function of increasing ee. The displaced equilibrium points were also calculated for the coplanar configuration of two massive planets in the co-orbital motion (Giuppone et al., 2010). As shown in Fig. 7 of their work, given a ratio m2/m11m_{2}/m_{1}\geq 1 of planetary masses, the equilibrium value of ψ\psi (i.e., ψ0\psi_{0}) for the L4 solutions increases with the eccentricity e1e_{1} of the less massive planet. Considering the limit of the mass ratio m2/m1m_{2}/m_{1}\rightarrow\infty, i.e., in the restricted three-body problem, this trend is the same as that discovered by Namouni & Murray (2000). By using the semi-analytical method developed in our previous works for the resonant Kuiper belt objects (Li et al., 2014a, b, 2020), the libration center ψ0\psi_{0} for the L4 co-orbital motion is determined as a function of the massless Trojan’s ee for different ii. Considering the observed range of e00.3e\sim 0-0.3 and i040i\sim 0-40^{\circ}, Fig. 9 shows that ψ0\psi_{0} could change between 5757^{\circ} and 7070^{\circ}, indicating that the equilibrium point within the apsidal alignment islands (see Fig. 3a) may shift no further than 1010^{\circ} from Δϖ=60\Delta\varpi=60^{\circ}. Since the L4 Trojans are mainly clustered in a much wider range of Δϖ=0120\Delta\varpi=0-120^{\circ}, the 10\lesssim 10^{\circ} displacement of Δϖ\Delta\varpi would not affect our conclusions. This argument can be supported by the apsidal alignment of Jupiter Trojans from both the observation and numerical reproduction.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 11973027, 11933001, 12073011 and 11603011), and National Key R&D Program of China (2019YFA0706601). We would also like to express our sincere thanks to the anonymous referee for the valuable comments.

Data Availability

The data underlying this article are available in the article and in its online supplementary material.

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