A phenotype-structured SKT model is reduced to the classical form under fast phenotype switching and analyzed for Turing bifurcation thresholds, super/sub-criticality, and pattern stability, with phenotype distributions acting as control parameters.
Manh Hong Duong, Fabian Spill, and Blaine Van Rensburg
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On a phenotype-structured Shigesada--Kawasaki--Teramoto model: Turing instability and pattern selection under fast phenotype switching
A phenotype-structured SKT model is reduced to the classical form under fast phenotype switching and analyzed for Turing bifurcation thresholds, super/sub-criticality, and pattern stability, with phenotype distributions acting as control parameters.