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Numerical artifacts like period-like and chaos-like behaviors emerge in extended logistic maps due to computational errors. High-precision simulations reveal these artifacts transform into real attractors, dependent on system dynamics and precision.

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Area of Science:

  • Numerical Analysis
  • Dynamical Systems
  • Computational Mathematics

Background:

  • Extended logistic map systems exhibit complex behaviors.
  • Numerical computations can introduce artificial artifacts.
  • Round-off errors significantly impact simulation accuracy.

Purpose of the Study:

  • Investigate numerical artifacts in an extended logistic map.
  • Analyze the origin and nature of period-like, strange-nonchaotic-attractor-like, and chaos-like behaviors.
  • Determine the conditions under which these artifacts emerge.

Main Methods:

  • Simulations using varying precision levels (double and high-precision).
  • Analysis of dynamical processes and round-off truncation errors.
  • Introduction of a quantity beta related to the local Lyapunov exponent to measure dynamical capability.

Main Results:

  • Identified three types of numerical artifacts: period-like, strange-nonchaotic-attractor-like, and chaos-like.
  • Observed that artifacts in double precision transform into real attractors in high-precision simulations.
  • Established a condition for artifact emergence: alphabeta < gamma, where alpha is computational precision, beta measures dynamical capability, and gamma is attractor size.

Conclusions:

  • Numerical artifacts in extended logistic maps are a result of system dynamics and computational precision.
  • The proposed quantity beta and the condition alphabeta < gamma provide a framework for understanding artifact generation.
  • High-precision computations are crucial for accurately representing the true dynamics of such systems.