Non-autonomous Honesty theory in abstract state spaces with applications to linear kinetic equations
Luisa Arlotti, Bertrand Lods, Mustapha Mokhtar-Kharroubi, (LM-Besan\c{c}on)

TL;DR
This paper develops a non-autonomous honesty theory for substochastic evolution families in abstract state spaces, extending previous semigroup results and applying them to linear kinetic equations like Boltzmann and fragmentation equations.
Contribution
It introduces a non-autonomous honesty framework in abstract state spaces and connects it with existing semigroup theories, with applications to kinetic equations.
Findings
Established honesty theory for non-autonomous substochastic evolution families.
Linked honesty theory with perturbed substochastic semigroups.
Applied the theory to linear Boltzmann and fragmentation equations.
Abstract
We provide a honesty theory of substochastic evolution families in real abstract state space, extending to an non-autonomous setting the result obtained for -semigroups in our recent contribution \textit{[On perturbed substochastic semigroups in abstract state spaces, \textit{Z. Anal. Anwend.} \textbf{30}, 457--495, 2011]}. The link with the honesty theory of perturbed substochastic semigroups is established. Several applications to non-autonomous linear kinetic equations (linear Boltzmann equation and fragmentation equation) are provided.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
