Mean-field closure for velocity alignment 2026-10-25
Neglect of pair correlations closes the first marginal equation of the dissipative Liouville equation. For unit-normalized marginal distributions, the acceleration is . With number-normalized , it is . The usual mean-field alignment equation neglects this relative correction. Independence at one time does not imply that interactions preserve independence.
Let . Conservation of probability in the full phase space gives the dissipative Liouville equationNormalize . Decay at infinity makes all boundary fluxes vanish, so the equation preserves this normalization of a probability distribution.
Unlike the Hamiltonian Liouville equation, this transport has nonzero phase-space divergence. In three dimensions,The probability density increases along a contracting characteristic flow map; setting its material derivative to zero would lose conservation of probability. The force is identically zero, including its derivative, which is why the last sums exclude it.
Put and . Indistinguishability gives an exchangeable ensemble. Define unit-normalized marginal distributionsIntegrating the dissipative Liouville equation over removes their boundary fluxes. The identical pair terms remain:This is the first equation of a BBGKY hierarchy, with no independence assumed yet.
The additional physical assumption is a mean-field closure for velocity alignment: neglect pair correlations, . Initial independence alone does not make this exact at later times, because the particles interact. In the usual number convention, and the two-particle distribution function is . Consequently the closed equation at finite isNeglecting the relative correction gives the intended mean-field alignment equation:Equivalently, the closure incorporates this large- approximation. It cannot be an exact finite- identity with , since whereas .
There is also a consistent finite- convention yielding the boxed equation directly under the independence closure: define instead. Its total normalization of a probability distribution is , rather than the physical particle number . Thus the displayed source equation needs a stated normalization of a probability distribution convention, or the large- approximation, in addition to neglect of correlations. In the remaining parts we use the displayed mean-field alignment equation itself; its moment identities do not depend on the total normalization of a probability distribution.