Journal
NUMERICAL ALGORITHMS
Volume 91, Issue 4, Pages 1577-1596Publisher
SPRINGER
DOI: 10.1007/s11075-022-01315-w
Keywords
Brownian motion; Stochastic differential equations; Diffusion on a sphere
Categories
Funding
- Australian Centre of Excellence (ACEMS) [CE-140100049]
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This paper presents an algorithm for homogeneous diffusive motion on a sphere by considering the equivalent process of a randomly rotating spin vector. By introducing appropriate sets of random variables, families of methods are constructed that effectively preserve the spin modulus for every realization, achieved by exponentiating an antisymmetric matrix.
In order to construct an algorithm for homogeneous diffusive motion that lives on a sphere, we consider the equivalent process of a randomly rotating spin vector of constant length. By introducing appropriate sets of random variables based on cross products, we construct families of methods with increasing efficacy that exactly preserve the spin modulus for every realisation. This is done by exponentiating an antisymmetric matrix whose entries are these random variables that are Gaussian in the simplest case.
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