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Seminario de Probabilidad y Procesos Estocásticos

N-Branching random walks with noisy selection: selection of the fittest or selection of the luckiest?
Emmanuel Schertzer, Universidad de Viena
Salón S-104, Departamento de Matemáticas. Facultad de Ciencias
Miércoles 25 de febrero, 16:00 horas
https://www.matem.unam.mx/actividades/seminarios/probabilidad-y-procesos-estocasticos/actividades/n-branching-random-walks-with-noisy-selection-selection-of-the-fittest-or-selection-of-the-luckiest

Resumen: 

Natural selection is commonly assumed to become more effective as it becomes stronger. However, selection acts on phenotypes rather than directly on genotypes, and phenotypic success is inherently noisy. Here we study how this mismatch shapes long-term evolutionary dynamics. Using a minimal stochastic model in which individuals inherit genetic fitness while selection acts on noisy phenotypic expressions, we show that increasing selection strength accelerates adaptation only up to a critical threshold. Beyond this point, stronger selection paradoxically slows evolution and erodes genetic diversity by favouring the luckiest individuals rather than the genetically fittest.

 

We identify two distinct evolutionary regimes—selection of the fittest and selection of the luckiest—separated by a sharp transition. This transition corresponds to a previously un-recognized change in the structure of traveling fitness waves, from semi-pulled to fully pulled fronts, with consequences for adaptation speed and genealogical structure. Our results reveal a biological instance of Goodhart’s law: when phenotypic measures become overly optimized targets, they cease to reliably promote genetic improvement.

  • Seminario de Probabilidad y Procesos Estocásticos

    Seminario de Probabilidad y Procesos Estocásticos

    Salón S-104, Departamento de Matemáticas. Facultad de Ciencias