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Derivation of the First Passage Time Distribution for Markovian Process on Discrete Network

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arxiv 2110.02216 v3 pith:5YWY2OQ4 submitted 2021-10-06 cond-mat.stat-mech physics.bio-phphysics.chem-ph

classification cond-mat.stat-mechphysics.bio-phphysics.chem-ph
keywords firstpassagetimediscretedistributionprobabilityanalysiscase
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Based on the analysis of probability flow, where the First Passage (FP) is realised as the sink of probability, we summarise the protocol to find the distribution of the First Passage Time (FTP). We also describe the corresponding formula for the discrete time case.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Universal Control Budget for First-Passage Kinetics

    cond-mat.stat-mech 2026-08 accept novelty 6.0 of 10

    Mean first-passage time sensitivities of any finite Markov chain lie in [-1,1] and sum to -1, a conserved control budget that caps kinetic-proofreading discrimination at the number of checkpoints.

  2. Entropy estimation for partially accessible Markov networks based on imperfect observations: Role of finite resolution and finite statistics

    cond-mat.stat-mech 2024-12 conditional novelty 6.0 of 10

    With ideal statistics, the resolved-transition waiting-time estimator is best; the TUR wins near equilibrium, the blurred-transition estimator wins far from equilibrium, and finite statistics can cause overestimation.

  3. Optimal switching strategies in multi-drug therapies for chronic diseases

    q-bio.PE 2024-11 conditional novelty 6.0 of 10

    A mathematical model predicts that optimal multi-drug therapy switching depends on initial efficacy and pathogen mutation rate, and that constraints on switching create non-trivial optimal protocols.

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