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Updated: Jun 2, 2025

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
913
Effects of local mutations in quadratic iterations
Anca Rǎdulescu1, Abraham Longbotham2, Ashelee Collier3
1Department of Mathematics, SUNY New Paltz, New Paltz, New York 12561, USA.
Chaos (Woodbury, N.Y.)
|January 17, 2025
Summary
We introduce "mutated" complex quadratic maps to study how errors affect system dynamics. Analyzing the prisoner set reveals how mutation parameters alter long-term behavior, offering insights into natural replication errors.
Area of Science:
- Complex dynamics
- Dynamical systems theory
- Chaos theory
Background:
- Complex quadratic maps (fc(z)=z^2+c) are fundamental in chaos theory.
- Understanding system evolution under perturbations is crucial for dynamical systems.
- The prisoner set is a key tool for analyzing long-term behavior in iterated maps.
Purpose of the Study:
- To introduce and analyze "mutated" complex quadratic maps.
- To investigate the impact of localized perturbations on system dynamics and orbit behavior.
- To use the prisoner set as a quantitative measure of these effects.
Main Methods:
- Definition of a "mutated" map interpolating between an erroneous map and the original map.
- Analysis of temporal evolution and asymptotic behavior under mutated iterations.
- Utilizing the prisoner set's topology to quantify long-term system changes.
Main Results:
- Mutations significantly alter the temporal evolution and asymptotic behavior of complex quadratic maps.
- The position, timing, and size of mutations demonstrably affect the system's long-term dynamics.
- Changes in system evolution are effectively encoded in the topology of the prisoner set.
Conclusions:
- The "mutated" map framework provides a novel way to study perturbations in dynamical systems.
- The prisoner set is a robust tool for analyzing the impact of localized errors.
- This model offers a metaphor for understanding copying errors in biological replication.
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