WIAS Preprint No. 1982, (2014)

A class of probabilistic models for the Schrödinger equation


Authors

  • Wagner, Wolfgang

2010 Mathematics Subject Classification

  • 35Q41 60J25 81Q05

Keywords

  • Schrödinger equation, probabilistic representation, stochastic particle model, piecewise deterministic Markov process

DOI

10.20347/WIAS.PREPRINT.1982

Abstract

A class of stochastic particle models for the spatially discretized time-dependent Schrödinger equation is constructed. Each particle is characterized by a complex-valued weight and a position. The particle weights change according to some deterministic rules between the jumps. The jumps are determined by the creation of offspring. The main result is that certain functionals of the particle systems satisfy the Schrödinger equation. The proofs are based on the theory of piecewise deterministic Markov processes.

Appeared in

  • Monte Carlo Methods Appl., 21 (2015) pp. 121--137.

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