Time Homogeneous Diffusion with drift and killing to meet a given marginal
John M. Noble

TL;DR
This paper establishes conditions under which a time-homogeneous diffusion process with drift and killing can be constructed to match a specified marginal distribution at a fixed time.
Contribution
It provides new criteria linking probability measures, drift fields, and killing functions to realize desired marginals in diffusion processes.
Findings
Derived conditions for existence of such diffusion processes.
Characterized the relationship between drift, killing, and target marginals.
Extended the theory of Markov processes with killing to meet specified distributions.
Abstract
This article gives conditions on a probability measure and drift field b such that for a given killing field k and a given time t > 0, there is function a such that there is a time homogeneous Markov process with infinitesimal generator a((1/2)d^2/dx^2 + b d/dx - k) which meets the given marginal at time t.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
