Family of closed-form solutions for two-dimensional correlated diffusion processes.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 09 07 2019
entrez: 24 10 2019
pubmed: 24 10 2019
medline: 24 10 2019
Statut: ppublish

Résumé

Diffusion processes with boundaries are models of transport phenomena with wide applicability across many fields. These processes are described by their probability density functions (PDFs), which often obey Fokker-Planck equations (FPEs). While obtaining analytical solutions is often possible in the absence of boundaries, obtaining closed-form solutions to the FPE is more challenging once absorbing boundaries are present. As a result, analyses of these processes have largely relied on approximations or direct simulations. In this paper, we studied two-dimensional, time-homogeneous, spatially correlated diffusion with linear, axis-aligned, absorbing boundaries. Our main result is the explicit construction of a full family of closed-form solutions for their PDFs using the method of images. We found that such solutions can be built if and only if the correlation coefficient ρ between the two diffusing processes takes one of a numerable set of values. Using a geometric argument, we derived the complete set of ρ's where such solutions can be found. Solvable ρ's are given by ρ=-cos(π/k), where k∈Z^{+}∪{+∞}. Solutions were validated in simulations. Qualitative behaviors of the process appear to vary smoothly over ρ, allowing extrapolation from our solutions to cases with unsolvable ρ's.

Identifiants

pubmed: 31640022
doi: 10.1103/PhysRevE.100.032132
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

032132

Auteurs

Haozhe Shan (H)

Program in Neuroscience, Harvard University, Boston, Massachusetts 02115, USA and Center for Brain Science, Harvard University, Cambridge, Massachusetts 02138, USA.

Rubén Moreno-Bote (R)

Department of Information and Communications Technologies, Pompeu Fabra University, 08002 Barcelona, Spain; Center for Brain and Cognition, Pompeu Fabra University, 08002 Barcelona, Spain; and Serra Húnter Fellow Programme, Pompeu Fabra University, 08002 Barcelona, Spain.

Jan Drugowitsch (J)

Department of Neurobiology, Harvard Medical School, Boston, Massachusetts 02115, USA and Center for Brain Science, Harvard University, Cambridge, Massachusetts 02138, USA.

Classifications MeSH