Reverse approximation of gradient flows as Minimizing Movements: a conjecture by De Giorgi
Florentine Flei{\ss}ner, Giuseppe Savar\'e

TL;DR
This paper demonstrates that solutions to gradient flows in finite-dimensional Hilbert spaces can be approximated by Minimizing Movement schemes with perturbed potentials, confirming a conjecture by De Giorgi and extending to certain infinite-dimensional cases.
Contribution
It proves the reverse approximation of gradient flow solutions by Minimizing Movement schemes with perturbed potentials, addressing a conjecture by De Giorgi and extending results to infinite-dimensional minimal solutions.
Findings
Finite-dimensional case: solutions can be approximated by Minimizing Movement schemes.
Perturbed potentials converge to the original potential in Lipschitz norm.
Infinite-dimensional minimal solutions are also approximable by the scheme.
Abstract
We consider the Cauchy problem for the gradient flow \begin{equation} \label{eq:81} \tag{} u'(t)=-\nabla\phi(u(t)),\quad t\ge 0;\quad u(0)=u_0, \end{equation} generated by a continuously differentiable function in a Hilbert space and study the reverse approximation of solutions to () by the De Giorgi Minimizing Movement approach. We prove that if has finite dimension and is quadratically bounded from below (in particular if is Lipschitz) then for every solution to () (which may have an infinite number of solutions) there exist perturbations converging to in the Lipschitz norm such that can be approximated by the Minimizing Movement scheme generated by the recursive minimization of $\Phi(\tau,U,V):=\frac 1{2\tau}|V-U|^2+…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Numerical methods in inverse problems · Nonlinear Partial Differential Equations
