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Simplex Invariant Sets in Evolutionary Therapy
Journal article   Peer reviewed

Simplex Invariant Sets in Evolutionary Therapy

Esteban A. Hernandez-Vargas
IEEE control systems letters
06/10/2026

Abstract

biological systems evolutionary therapy invariant-set analysis Joining processes Matrices Modeling Phenotypes Switched systems Switches Switching systems Terminology Timing Drug Resistance Medical Treatment
Evolutionary therapies regulate heterogeneous populations by dynamically altering selective pressures through sequential treatments in cancer and infectious diseases. The main result of this letter derives simplex-based invariant regions that bound the evolution of resistant populations under periodically switched therapies with mutation dynamics. For periodically switched systems, sufficient conditions are derived for the existence of such invariant regions. The simplex containment region is shown to remain robust under sufficiently small mutation-driven phenotype transitions. Analysis and simulations yield an explicit mutation threshold that separates regimes in which therapy cycling maintains containment from regimes in which mutation can enable evolutionary escape.
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