Calculus of Variations and Geometric Measure Theory

A. Pinzi - F. Riva - G. Savaré

A direct method for doubly nonlinear equations via convexification in spaces of measures and duality

created by riva on 11 Feb 2026

[BibTeX]

preprint

Inserted: 11 feb 2026
Last Updated: 11 feb 2026

Year: 2026

ArXiv: 2602.09808 PDF

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 identification of the dual problem as a supremum over the set of smooth and bounded cylinder functions, solving an Hamilton-Jacobi-type inequality. Secondly, a suitable "backward boundedness" property of solutions to such Hamilton-Jacobi system gives a proper bound of the dual problem, ensuring that the minimum value of the original functional is actually zero. The proposed strategy naturally extends to non-autonomous equations, encompassing time- and space-dependent dissipation potentials and time-dependent potential energies.

Keywords: Gradient flows, doubly nonlinear equations , duality, minimax theorem, Hamilton–Jacobi equation, Banach-valued measures