Explosion by Killing and Maximum Principle in Symmetric Markov Processes
Masayoshi Takeda

TL;DR
This paper characterizes stochastic completeness and explosion phenomena in symmetric Markov processes, relates them to maximum principles for Schrödinger operators, and establishes conditions for Liouville properties and refined maximum principles.
Contribution
It introduces the concept of explosion by killing (EK), links it to stochastic completeness, and connects these to maximum principles and eigenvalue conditions for Schrödinger-type operators.
Findings
(EK) is equivalent to stochastic completeness and the process not exploding.
If (EK) holds, then () > 1 implies Liouville property for solutions.
Refined maximum principle holds if and only if the principal eigenvalue exceeds 1.
Abstract
Keller and Lenz \cite{KL} define a concept of {\it stochastic completeness at infinity} (SCI) for a regular symmetric Dirichlet form . We show that (SCI) can be characterized probabilistically by using the predictable part of the life time of the symmetric Markov process generated by , that is, (SCI) is equivalent to . We define a concept, {\it explosion by killing} (EK), by . Here is the totally inaccessible part of . We see that (EK) is equivalent to (SCI) and . Let be the {\it resurrected process} generated by the {\it resurrected form}, a regular Dirichlet form constructed by removing the killing part from . Extending work of Masamune and Schmidt (\cite{MS}), we show that (EK) is also equivalent…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Bayesian Modeling and Causal Inference · History and advancements in chemistry
