New framework links first-passage timing statistics to branching population growth via renewal equations, showing fluctuations enhance growth for fixed offspring and mean time while exposing optimization trade-offs, with bacteriophage lysis application matching empirical data.
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On a ring, diffusion with two-site stochastic resetting shows first- and second-order transitions in the optimal resetting rate for minimizing mean first-passage time to an absorbing target, with mirror symmetry.
Stochastic resetting selectively optimizes competitive first-passage outcomes and suppresses conditional FPT fluctuations in non-Markovian CTRW systems via a derived inequality.
citing papers explorer
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Branching under First-Passage Resetting
New framework links first-passage timing statistics to branching population growth via renewal equations, showing fluctuations enhance growth for fixed offspring and mean time while exposing optimization trade-offs, with bacteriophage lysis application matching empirical data.
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Mirror transitions in diffusion with stochastic resetting confined on a ring
On a ring, diffusion with two-site stochastic resetting shows first- and second-order transitions in the optimal resetting rate for minimizing mean first-passage time to an absorbing target, with mirror symmetry.
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Resetting optimized competitive first-passage outcomes in non-Markovian systems
Stochastic resetting selectively optimizes competitive first-passage outcomes and suppresses conditional FPT fluctuations in non-Markovian CTRW systems via a derived inequality.