A direct method for doubly nonlinear equations via convexification in spaces of measures and duality
Alessandro Pinzi, Filippo Riva, Giuseppe Savar\'e

TL;DR
This paper introduces a direct variational method for doubly nonlinear equations in measure spaces, avoiding time discretization and leveraging convexification and duality principles to establish solution existence.
Contribution
It develops a novel, direct approach based on convexification and duality in measure spaces, bypassing traditional iterative schemes for doubly nonlinear equations.
Findings
Proves existence of solutions via a measure-based variational approach.
Identifies the dual problem as a Hamilton-Jacobi inequality.
Extends the method to non-autonomous equations with time-dependent potentials.
Abstract
Existence of solutions to doubly nonlinear equations in reflexive Banach spaces is established by resorting to a global-in-time variational approach inspired by De Giorgi's principle, which characterizes the associated flows as null-minimizers of a suitable energy-dissipation functional defined on trajectories. In contrast to the celebrated minimizing movements scheme, the proposed strategy does not rely on any time-discretization or iterative constructions. Instead, it provides a direct method based on the relaxation of the problem in spaces of measures, constrained by the continuity equation: in this procedure, no gap is introduced due to the Ambrosio's superposition principle. Within this weak convex framework, the validity of the null-minimization property is recovered through two further steps. First, a careful application of the Von Neumann minimax theorem yields an…
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
TopicsControl and Stability of Dynamical Systems · Optimization and Variational Analysis · Numerical methods for differential equations
