On stochastic continuity of generalized diffusion processes constructed as the strong solution to an SDE
Ludmila L. Zaitseva

TL;DR
This paper proves the continuous dependence on initial conditions for a class of generalized diffusion processes defined as strong solutions to SDEs, using comparison theorems for skew Brownian motions.
Contribution
It establishes stochastic continuity for generalized diffusion processes via comparison theorems, providing new insights into their dependence on initial conditions.
Findings
Comparison theorem for skew Brownian motions proved
Estimate on ${\ ext{Cal}}_1$-distance between skew Brownian motions derived
Continuous dependence on starting point established for certain diffusion processes
Abstract
The comparison theorem for skew Brownian motions is proved. As the corollary we get the estimate on distance between two skew Brownian motions started from different points. Using this result we prove the continuous dependence on starting point of one class of generalized diffusion processes constructed as the strong solution to an SDE.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
