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A random cloud algorithm for the Schrödinger equation

Author

Listed:
  • Kraft Markus

    (Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CambridgeCB3 0AS, United Kingdom)

  • Wagner Wolfgang

    (Weierstrass Institute for Applied Analysis and Stochastics, Mohrenstr. 39, 10117Berlin, Germany)

Abstract

In this paper we present a numerical scheme for the Random Cloud Model (RCM) on a bounded domain which approximates the solution of the time-dependent Schrödinger equation. The RCM is formulated as a Markov jump process on a particle number state space. Based on this process a stochastic algorithm is developed. It is shown that the algorithm reproduces the dynamics of the time-dependent Schrödinger equation for exact initial conditions on a bounded domain. The algorithm is then tested for two different cases. First, it is shown that the RCM reproduces the analytic solution for a particle in a potential well with infinite potential. Second, the RCM is used to study three cases with finite potential walls. It is found that the potential triggers processes, which produces RCM particles at a high rate that annihilate each other.

Suggested Citation

  • Kraft Markus & Wagner Wolfgang, 2017. "A random cloud algorithm for the Schrödinger equation," Monte Carlo Methods and Applications, De Gruyter, vol. 23(4), pages 221-240, December.
    • Handle: RePEc:bpj:mcmeap:v:23:y:2017:i:4:p:221-240:n:5
    DOI: 10.1515/mcma-2017-0118
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