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This study develops a fixed-time convergent saddle point dynamical system for solving min-max problems under a relaxation of standard convexity-concavity assumption. In particular, it is shown that by leveraging the dynamical systems…

Optimization and Control · Mathematics 2022-07-28 Kunal Garg , Mayank Baranwal

We present a new deterministic approach for the solution of the Boltzmann kinetic equation based on nodal discontinuous Galerkin (DG) discretizations in velocity space. In the new approach the collision operator has the form of a bilinear…

Computational Physics · Physics 2018-01-19 Alexander Alekseenko , Eswar Josyula

The method of self-similar factor approximants is shown to be very convenient for solving different evolution equations and boundary-value problems typical of physical applications. The method is general and simple, being a straightforward…

Mathematical Physics · Physics 2009-11-13 E. P. Yukalova , V. I. Yukalov , S. Gluzman

We consider the evolution of an initially cold, spherically symmetric system of self-gravitating particles. At early times the system undergoes self-similar collapse of the type described by Fillmore & Goldreich and Bertschinger. This stage…

Astrophysics · Physics 2007-05-23 Richard Henriksen , Lawrence M. Widrow

Many mechanical systems have configuration spaces that admit symmetries. Mathematically, such symmetries are modelled by the action of a group on a topological space. Several variations of topological complexity have emerged that take…

Algebraic Topology · Mathematics 2024-02-05 Mark Grant

In the study of concavity properties of positive solutions to nonlinear elliptic partial differential equations the diffusion and the nonlinearity are typically independent of the space variable. In this paper we obtain new results aiming…

Analysis of PDEs · Mathematics 2023-09-01 Nouf Almousa , Claudia Bucur , Roberta Cornale , Marco Squassina

This monograph deals with adaptive supervised classification, using tools borrowed from statistical mechanics and information theory, stemming from the PACBayesian approach pioneered by David McAllester and applied to a conception of…

Machine Learning · Statistics 2007-12-04 Olivier Catoni

We show the existence of a self-similar solution for a We prove the uniqueness of the self-similar profile solution for a modified Boltzmann equation describing probabilistic ballistic annihilation. Such a model describes a system of hard…

Analysis of PDEs · Mathematics 2014-07-01 Véronique Bagland , Bertrand Lods

We consider the spatially homogeneous Boltzmann equation for {\em inelastic hard spheres}, in the framework of so-called {\em constant normal restitution coefficients} $\alpha \in [0,1]$. In the physical regime of a small inelasticity (that…

Analysis of PDEs · Mathematics 2010-02-02 Stéphane Mischler , Clément Mouhot

The Boltzmann H-theorem implies that the solution to the Boltzmann equation tends to an equilibrium, that is, a Maxwellian when time tends to infinity. This has been proved in varies settings when the initial energy is finite. However, when…

Analysis of PDEs · Mathematics 2017-04-03 Yoshinori Morimoto , Tong Yang , Huijiang Zhao

A deterministic method is proposed for solving the Boltzmann equation. The method employs a Galerkin discretization of the velocity space and adopts, as trial and test functions, the collocation basis functions based on weights and roots of…

Computational Physics · Physics 2013-11-19 Gian Pietro Ghiroldi , Livio Gibelli

We prove new probabilistic upper bounds on generalization error of complex classifiers that are combinations of simple classifiers. Such combinations could be implemented by neural networks or by voting methods of combining the classifiers,…

Probability · Mathematics 2007-05-23 Vladimir Koltchinskii , Dmitry Panchenko

We prove the Hardy-Littlewood-Sobolev type $L^p$ estimates for the gain term of the Boltzmann collision operator including Maxwellian molecule, hard potential and hard sphere models. Combining with the results of Alonso et al. [2] for the…

Analysis of PDEs · Mathematics 2024-10-25 Ling-Bing He , Jin-Cheng Jiang , Hung-Wen Kuo , Meng-Hao Liang

Motivated by the central limit problem for convex bodies, we study normal approximation of linear functionals of high-dimensional random vectors with various types of symmetries. In particular, we obtain results for distributions which are…

Probability · Mathematics 2016-09-07 Elizabeth S. Meckes , Mark W. Meckes

This paper is devoted to the study of the large time behaviour of viscosity solutions of parabolic equations with Neumann boundary conditions. This work is the sequel of [13] in which a probabilistic method was developped to show that the…

Probability · Mathematics 2015-09-18 Ying Hu , Pierre-Yves Madec

We prove that the solution of the Kac analogue of Boltzmann's equation can be viewed as a probability distribution of a sum of a random number of random variables. This fact allows us to study convergence to equilibrium by means of a few…

Probability · Mathematics 2009-01-19 Ester Gabetta , Eugenio Regazzini

This paper deals with the long-time behavior of solutions of nonlinear reaction-diffusion equations describing formation of morphogen gradients, the concentration fields of molecules acting as spatial regulators of cell differentiation in…

Analysis of PDEs · Mathematics 2013-03-27 Peter V. Gordon , Cyrill B. Muratov

Grad's moment models for Boltzmann equation were recently regularized to globally hyperbolic systems, and thus the regularized models attain local well-posedness for Cauchy data. The hyperbolic regularization is only related to the…

Mathematical Physics · Physics 2017-03-24 Yana Di , Yuwei Fan , Ruo Li , Lingchao Zheng

In this paper, we consider the spatially inhomogeneous diffusively driven inelastic Boltzmann equation in different cases: the restitution coefficient can be constant or can depend on the impact velocity (which is a more physically relevant…

Analysis of PDEs · Mathematics 2015-12-04 Isabelle Tristani

We study linear closure relations for the moments' method applied to simple kinetic equations. The equations are linear collisional models (velocity jump processes) which are well suited to this type of approximation. In this simplified, 1…

Analysis of PDEs · Mathematics 2012-06-22 Yves Bourgault , Damien Broizat , Pierre-Emmanuel Jabin
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