title: Singular solution of the Feller diffusion equation via a spectral decomposition.
abstract: Feller studied a branching process and found that the distribution for this process approximately obeys a diffusion equation [W. Feller, in Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability (University of California Press, Berkeley and Los Angeles, 1951), pp. 227-246]. This diffusion equation and its generalizations play an important role in many scientific problems, including, physics, biology, finance, and probability theory. We work under the assumption that the fundamental solution represents a probability density and should account for all of the probability in the problem. Thus, under the circumstances where the random process can be irreversibly absorbed at the boundary, this should lead to the presence of a Dirac delta function in the fundamental solution at the boundary. However, such a feature is not present in the standard approach (Laplace transformation). Here we require that the total integrated probability is conserved. This yields a fundamental solution which, when appropriate, contains a term proportional to a Dirac delta function at the boundary. We determine the fundamental solution directly from the diffusion equation via spectral decomposition. We obtain exact expressions for the eigenfunctions, and when the fundamental solution contains a Dirac delta function at the boundary, every eigenfunction of the forward diffusion operator contains a delta function. We show how these combine to produce a weight of the delta function at the boundary which ensures the total integrated probability is conserved. The solution we present covers cases where parameters are time dependent, thereby greatly extending its applicability.
authors: Centre for Computational Systems Biology, Fudan University, Shanghai 200433, P. R. China and School of Mathematical Sciences, Fudan University, Shanghai 200433, P. R. China.
authors: Xinjun
authors: X
authors: Gan
authors: Centre for Computational Systems Biology, Fudan University, Shanghai 200433, P. R. China.
authors: David
authors: D
authors: Waxman
mesh_terms: D004058:Diffusion; D008962:Models, Theoretical; D011336:Probability