Gradient Flow Structure of a Multidimensional Nonlinear Sixth Order Quantum-Diffusion Equation
Daniel Matthes, Eva-Maria Rott

TL;DR
This paper studies a sixth-order nonlinear parabolic equation from quantum mechanics, establishing global solutions and spectral properties by leveraging its gradient flow structure in the Wasserstein metric.
Contribution
It introduces a novel analysis of a sixth-order quantum-diffusion equation as a Wasserstein gradient flow, proving existence and spectral characteristics.
Findings
Global existence of weak solutions for finite entropy initial data
Explicit spectral computation around the stationary solution
Identification of a key relation between entropy, Fisher information, and the second order functional
Abstract
A nonlinear parabolic equation of sixth order is analyzed. The equation arises as a reduction of a model from quantum statistical mechanics, and also as the gradient flow of a second-order information functional with respect to the -Wasserstein metric. First, we prove global existence of weak solutions for initial conditions of finite entropy by means of the time-discrete minimizing movement scheme. Second, we calculate the linearization of the dynamics around the unique stationary solution, for which we can explicitly compute the entire spectrum. A key element in our approach is a particular relation between the entropy, the Fisher information and the second order functional that generates the gradient flow under consideration.
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Statistical Mechanics and Entropy · Model Reduction and Neural Networks
