Analytic solutions for the approximated Kantorovich mass transfer problems by $p$-Laplacian approach
Yanhua Wu, Xiaojun Lu

TL;DR
This paper presents an analytic method using $p$-Laplacian equations and canonical duality theory to approximate and solve the Kantorovich mass transfer problem, demonstrating convergence to the global maximizer.
Contribution
It introduces a novel $p$-Laplacian based approach combined with canonical duality theory to analytically approximate solutions for the Kantorovich mass transfer problem.
Findings
Derived a sequence of analytic solutions for the minimization problems
Proved convergence of the solutions to the global maximizer
Established a new approximation framework for mass transfer problems
Abstract
This manuscript discusses the approximation of a global maximizer of the Kantorovich mass transfer problem through the approach of -Laplacian equation. Using an approximation mechanism, the primal maximization problem can be transformed into a sequence of minimization problems. By applying the canonical duality theory, one is able to derive a sequence of analytic solutions for the minimization problems. In the final analysis, the convergence of the sequence to a global maximizer of the primal Kantorovich problem will be demonstrated.
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 · Geometric Analysis and Curvature Flows · Numerical methods in inverse problems
