Vanishing viscosity for uniformly convex Hamilton-Jacobi equations converges at the optimal rate O(epsilon log epsilon), improving the old O(sqrt(epsilon)) bound.
Construction of signed distance functions through an elliptic equation
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abstract
Motivated by recent advances in structural optimization, we propose a novel method for constructing the distance function to the boundary of a given domain. Building on and extending the celebrated Varadhan asymptotic theory, our approach reformulates the governing equation into a more appropriate framework. A central contribution of this work is the derivation of convergence rates within this new setting, which are shown to be optimal in one dimension and offer significant improvements over existing results in higher dimensions.
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Optimal rate of convergence in the vanishing viscosity for uniformly convex Hamilton-Jacobi equations
Vanishing viscosity for uniformly convex Hamilton-Jacobi equations converges at the optimal rate O(epsilon log epsilon), improving the old O(sqrt(epsilon)) bound.