Renewal dynamical approach for non-minimal quasi-stationary distributions of one-dimensional diffusions
Kosuke Yamato

TL;DR
This paper introduces a renewal dynamical approach to analyze non-minimal quasi-stationary distributions of one-dimensional diffusions, establishing conditions for convergence and existence of Yaglom limits.
Contribution
It develops a novel renewal transform method linking convergence of quasi-stationary distributions to lifetime moment growth rates.
Findings
Convergence of the renewal transform characterizes quasi-stationary distributions.
A necessary condition for Yaglom limits is identified.
The approach provides new insights into the structure of non-minimal distributions.
Abstract
We consider quasi-stationary distributions for one-dimensional diffusions via the renewal dynamical approach. We show that convergence of the iterative renewal transform to quasi-stationary distributions is equivalent to a condition on the moment growth rate of the lifetime, which is at the same time a necessary condition for the existence of Yaglom limits.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
