Quantitative stochastic homogenization of viscous Hamilton-Jacobi equations
Scott N. Armstrong, Pierre Cardaliaguet

TL;DR
This paper provides explicit error estimates and algebraic convergence rates for the stochastic homogenization of viscous Hamilton-Jacobi equations with random coefficients, under finite dependence assumptions.
Contribution
It offers the first explicit algebraic error bounds for the homogenization of degenerate second-order Hamilton-Jacobi equations with random coefficients.
Findings
Established explicit error estimates with high probability.
Derived algebraic convergence rates under structural conditions.
Applied to degenerate, second-order Hamilton-Jacobi equations.
Abstract
We prove explicit estimates for the error in random homogenization of degenerate, second-order Hamilton-Jacobi equations, assuming the coefficients satisfy a finite range of dependence. In particular, we obtain an algebraic rate of convergence with overwhelming probability under certain structural conditions on the Hamiltonian.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and financial applications · Mathematical Biology Tumor Growth
