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.

Asymptotic probability of energy increasing solutions to the homogeneous Boltzmann equation / Basile, Giada; Benedetto, Dario; Bertini, Lorenzo; Caglioti, Emanuele. - In: THE ANNALS OF APPLIED PROBABILITY. - ISSN 1050-5164. - 34:4(2024), pp. 3995-4021. [10.1214/24-aap2057]

Asymptotic probability of energy increasing solutions to the homogeneous Boltzmann equation

Basile, Giada;Benedetto, Dario
;
Bertini, Lorenzo;Caglioti, Emanuele
2024

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.
2024
Kac model; Boltzmann equation; large deviation; Lu and Wennberg solutions
01 Pubblicazione su rivista::01a Articolo in rivista
Asymptotic probability of energy increasing solutions to the homogeneous Boltzmann equation / Basile, Giada; Benedetto, Dario; Bertini, Lorenzo; Caglioti, Emanuele. - In: THE ANNALS OF APPLIED PROBABILITY. - ISSN 1050-5164. - 34:4(2024), pp. 3995-4021. [10.1214/24-aap2057]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1717614
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