Exponential convergence for a convexifying equation and a non-autonomous gradient flow for global minimization
classification
🧮 math.AP
keywords
convergenceconvexenvelopeequationexponentialflowgradientnon-autonomous
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We consider an evolution equation similar to that introduced by Vese and whose solution converges in large time to the convex envelope of the initial datum. We give a stochastic control representation for the solution from which we deduce, under quite general assumptions that the convergence in the Lipschitz norm is in fact exponential in time. We then introduce a non-autonomous gradient flow and prove that its trajectories all converge to minimizers of the convex envelope.
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