Global renormalized solutions to Boltzmann systems modeling mixture gases of monatomic and polyatomic species
Yi-Long Luo, Jing-Xin Nie
TL;DR
This work proves global existence of renormalized solutions for a Boltzmann system modeling mixtures of monatomic and polyatomic gases with continuous internal energy, under angular-cutoff kernels. The authors construct smooth approximations of the initial data, collision kernels, and collision operator, obtaining uniform bounds that reflect mass, momentum, energy, and entropy conservation. A key contribution is the averaged velocity(-internal energy) lemma, which, together with renormalized variables, yields strong $L^1$-type convergence of the sequence and the identification of the limit as a renormalized solution that satisfies an entropy inequality. The results advance the rigorous theory of kinetic models with internal degrees of freedom, enabling large-data global existence and entropy control for complex gas mixtures. The methods combine DiPerna–Lions renormalization with precise compactness tools to handle nonlinear collision operators in the presence of internal-energy variables.
Abstract
Inspired by DiPerna-Lions' work \cite{Diperna-Lions}, we study the renormalized solutions to the large-data Cauchy problem of the Boltzmann systems modeling mixture gases of monatomic and polyatomic species, in which the distribution functions $f_α$ characterized the polyatomic species contain the continuous internal energy variable $I \in \mathbb{R}_+$. We first construct the smooth approximated problem and establish the corresponding uniform and physically natural bounds. Then, by employing the averaged velocity (-internal energy) lemma, we can show that the weak $L^1$ limit of the approximated solution is exactly a renormalized solution what we required. Moreover, we also justify that the constructed renormalized solution subjects to the entropy inequality.
