2006/04/27 by Thoms Mueller-Gronbach, Mueller-Gronbach, Thoms, Klaus Ritter +1
Economics, Econometrics and Finance · Engineering · Mathematics · #FOS: Mathematics #Numerical methods in inverse problems #Probability (math.PR) #Stability and Controllability of Differential Equations #Stochastic processes and financial applications
paper · pdf · doi:10.48550/arxiv.math/0604600
openalex publication_date 2006/04/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present an algorithm for solving stochastic heat equations, whose key ingredient is a non-uniform time discretization of the driving Brownian motion W. For this algorithm we derive an error bound in terms of its number of evaluations of one-dimensional components of W. The rate of convergence depends on the spatial dimension of the heat equation and on the decay of the eigenfunctions of the covariance of W. According to known lower bounds, our algorithm is optimal, up to a constant, and this optimality cannot be achieved by uniform time discretizations.