English

$L^2$-Gradient Flows of Spectral Functionals

Analysis of PDEs 2022-08-15 v2 Functional Analysis Optimization and Control

Abstract

We study the L2L^2-gradient flow of functionals F\mathcal F depending on the eigenvalues of Schr\"odinger potentials VV for a wide class of differential operators associated to closed, symmetric, and coercive bilinear forms, including the case of all the Dirichlet forms (as for second order elliptic operators in Euclidean domains or Riemannian manifolds). We suppose that F\mathcal F arises as the sum of a θ-\theta-convex functional K\mathcal K with proper domain KL2\mathbb{K}\subset L^2 forcing the admissible potentials to stay above a constant VminV_{\rm min} and a term H(V)=φ(λ1(V),,λJ(V))\mathcal H(V)=\varphi(\lambda_1(V),\cdots,\lambda_J(V)) which depends on the first JJ eigenvalues associated to VV through a C1C^1 function φ\varphi. Even if H\mathcal H is not a smooth perturbation of a convex functional (and it is in fact concave in simple important cases as the sum of the first JJ eigenvalues) and we do not assume any compactness of the sublevels of K\mathcal K, we prove the convergence of the Minimizing Movement method to a solution VH1(0,T;L2)V\in H^1(0,T;L^2) of the differential inclusion V(t)LF(V(t))V'(t)\in -\partial_L^-\mathcal F(V(t)), which under suitable compatibility conditions on φ\varphi can be written as V(t)+i=1Jiφ(λ1(V(t)),,λJ(V(t)))ui2(t)FK(V(t)) V'(t)+\sum_{i=1}^J\partial_i\varphi(\lambda_1(V(t)),\dots, \lambda_J(V(t)))u_i^2(t)\in -\partial_F^-\mathcal K(V(t)) where (u1(t),,uJ(t))(u_1(t),\dots, u_J(t)) is an orthonormal system of eigenfunctions associated to the eigenvalues (λ1(V(t)),,,λJ(V(t)))(\lambda_1(V(t)), ,\dots,\lambda_J(V(t))).

Keywords

Cite

@article{arxiv.2203.07304,
  title  = {$L^2$-Gradient Flows of Spectral Functionals},
  author = {Dario Mazzoleni and Giuseppe Savaré},
  journal= {arXiv preprint arXiv:2203.07304},
  year   = {2022}
}
R2 v1 2026-06-24T10:12:46.736Z