Two-body collapse model for self-gravitating flow of dark matter and generalized stable clustering hypothesis for pairwise velocity

preprint2022arXivOpen access

Abstract

Analytical tools are extremely hard to find for non-linear gravitational collpase. Only a few simple but powerful tools exist so far. Two examples are the spherical collapse model (SCM) and stable clustering hypothesis (SCH). We present a new analytical tool, a two-body collapse model (TBCM), that plays the same fundamental role as harmonic oscillator in dynamics. For convenience, TBCM is formulated for gravity with any potential exponent nn in a static background with a fixed damping (nn=-1 for Newtonian gravity). The competition between gravity, expanding background (or damping), and angular momentum classifies two-body collapse into: 1) free fall collapse, where free fall time is greater if same system starts to collapse at earlier time; 2) equilibrium collapse that persists longer in time, whose perturbative solutions lead to power-law evolution of system energy and momentum. Two critical values βs1=1β_{s1}=1 and βs2=1/3πβ_{s2}=1/3π are identified that quantifies the competition between damping and gravity. Value βs2β_{s2} only exists for discrete values of potential exponent n=(2−6m)/(1+3m)=n=(2-6m)/(1+3m)= -1,-10/7... for integer mm. Critical density ratio (Δc=18π2Δ_c=18π^2) is obtained for nn=-1 that is consistent with SCM. TBCM predicts angular velocity ∝Hr−3/2\propto Hr^{-3/2} for two-body system of size rr. The isothermal density is a result of extremely fast mass accretion. TBCM is able to demonstrate SCH, i.e. mean pairwise velocity (first moment) ⟨Δu⟩=−Hr\langleΔu\rangle=-Hr. A generalized SCH is developed for higher order moments ⟨Δu2m+1⟩=−(2m+1)⟨Δu2m⟩Hr\langleΔu^{2m+1}\rangle=-(2m+1)\langleΔu^{2m}\rangle Hr that is validated by N-body simulation. Energy evolution in TBCM is independent of particle mass and energy equipartition does not apply. TBCM can be considered as a non-radial SCM. Both models predict the same critical density ratio, while TBCM contains much richer information.

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