Hagop Tossounian. Universidad de Concepción
On Quantitative molecular chaos and rescaled states
Sala 5
Abstract:
To derive an equation describing the distribution of a dilute gas of identical particles, Boltzmann assumed that the many-particle probability density function
stays close to a product for all time, provided it is a product initially; this'ld imply that in a gas of many particles, the position-velocity of the particles stay independent.
Mark Kac introduced a probabilistic space-homogeneous model for a gas of N particles, for which Boltzmann’s assumption holds in the limit as $N\to\infty$:
For fixed time $t$, and any $k$ fixed, the $k$ marginal distribution of the $N$ particle density functions becomes a product for large $N$. This is known as chaos (or molecular chaos), its propagation in time is known as propagation of chaos.
We retake the question, first asked in [CCLLV] For which probability distibutions g on R can we produce a sequence $\{fN\}_{N\geq 1}$, of probability distributions, with fN supported on the energy sphere $\{v1^2+v2^2+...+vN^2=N\}$ which are chaotic to $g$ ?
Using rescaled states, we expand the the class of admissible g, obtained in
[CCLLV]. We also mention some new ideas in this direction.
References:
Carlen, Eric A., et al. Entropy and chaos in the Kac model. Kinetic and Related Models 3.1 (2010): 85-122.
Cortez, Roberto, and Hagop Tossounian. Chaos for rescaled measures on Kac’s sphere. Electronic Journal of Probability 28 (2023): 1-29.