August 2024 Asymptotic probability of energy increasing solutions to the homogeneous Boltzmann equation
Giada Basile, Dario Benedetto, Lorenzo Bertini, Emanuele Caglioti
Author Affiliations +
Ann. Appl. Probab. 34(4): 3995-4021 (August 2024). DOI: 10.1214/24-AAP2057

Abstract

Weak solutions to the homogeneous Boltzmann equation with increasing energy have been constructed by Lu and Wennberg. We consider an underlying microscopic stochastic model with binary collisions (Kac’s model) and show that these solutions are atypical. More precisely, we prove that the probability of observing these paths is exponentially small in the number of particles and compute the exponential rate. This result is obtained by improving the established large deviation estimates in the canonical setting. Key ingredients are the extension of Sanov’s theorem to the microcanonical ensemble and large deviations for the Kac’s model in the microcanonical setting.

Funding Statement

The work of G. Basile and D. Benedetto has been supported by PRIN 202277WX43 “Emergence of condensation-like phenomena in interacting particle systems: kinetic and lattice models”, founded by the European Union—Next Generation EU.

Acknowledgments

The authors would like to thank the anonymous referees, for their constructive comments that improved the quality of this paper.

D. Benedetto and E. Caglioti would like to thank GNFM—INdAM.

Citation

Download Citation

Giada Basile. Dario Benedetto. Lorenzo Bertini. Emanuele Caglioti. "Asymptotic probability of energy increasing solutions to the homogeneous Boltzmann equation." Ann. Appl. Probab. 34 (4) 3995 - 4021, August 2024. https://doi.org/10.1214/24-AAP2057

Information

Received: 1 July 2022; Revised: 1 October 2023; Published: August 2024
First available in Project Euclid: 6 August 2024

Digital Object Identifier: 10.1214/24-AAP2057

Subjects:
Primary: 35Q20 , 60F10 , 82C40

Keywords: Boltzmann equation , Kac model , large deviation , Lu and Wennberg solutions

Rights: Copyright © 2024 Institute of Mathematical Statistics

Vol.34 • No. 4 • August 2024
Back to Top