Linear and nonlinear parabolic forward-backward problems
Anne-Laure Dalibard, Fr\'ed\'eric Marbach, Jean Rax

TL;DR
This paper studies the well-posedness of linear and nonlinear parabolic forward-backward equations, revealing singular solutions, regularity conditions, and extending the theory to complex systems like Vlasov--Poisson--Fokker--Planck and Prandtl equations.
Contribution
It provides a detailed analysis of singular solutions and regularity conditions for parabolic forward-backward problems, extending existing theory to nonlinear and complex systems.
Findings
Finite number of singular solutions for the Kolmogorov equation.
Solutions are regular if source term satisfies orthogonality conditions.
Existence and uniqueness of regular solutions in nonlinear systems under certain conditions.
Abstract
The purpose of this paper is to investigate the well-posedness of several linear and nonlinear equations with a parabolic forward-backward structure, and to highlight the similarities and differences between them. The epitomal linear example will be the stationary Kolmogorov equation in a rectangle. We first prove that this equation admits a finite number of singular solutions, of which we provide an explicit construction. Hence, the solutions to the Kolmogorov equation associated with a smooth source term are regular if and only if satisfies a finite number of orthogonality conditions. This is similar to well-known phenomena in elliptic problems in polygonal domains. We then extend this theory to a Vlasov--Poisson--Fokker--Planck system, and to two quasilinear equations: the Burgers type equation in the…
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
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Physics Problems · Advanced Mathematical Modeling in Engineering
