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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Scaling Invariance: A Gateway to Phase Transitions.

Edson Denis Leonel1

  • 1Departamento de Física, Universidade Estadual Paulista (UNESP), Av. 24A, 1515, São Paulo 13506-900, SP, Brazil.

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This study reveals scaling invariance in dynamical systems transitioning from regularity to chaos. This behavior mirrors a continuous phase transition, evidenced by diverging susceptibility near the critical point.

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Area of Science:

  • Nonlinear dynamics
  • Statistical mechanics
  • Chaos theory

Background:

  • Dynamical systems can transition between ordered (regular) and disordered (chaotic) states.
  • Hamiltonian systems, characterized by action and angle variables, are often used to model such transitions.
  • Phase transitions in physical systems involve critical phenomena and scaling laws.

Purpose of the Study:

  • To investigate scaling invariance in a specific class of 2D nonlinear area-preserving mappings.
  • To characterize the transition from regular to chaotic behavior in these systems.
  • To determine if this transition exhibits properties of a continuous phase transition.

Main Methods:

  • Utilized a two-dimensional nonlinear mapping preserving area in phase space.
  • Analyzed the behavior of action and angle variables under variation of a control parameter.
  • Calculated the average squared action and susceptibility within the chaotic regime.

Main Results:

  • Observed scaling invariance in the average squared action in the chaotic region.
  • Identified an order parameter that approaches zero at the transition point.
  • Demonstrated that susceptibility diverges as the order parameter approaches zero.

Conclusions:

  • The transition from regularity to chaos in these systems exhibits characteristics of a second-order or continuous phase transition.
  • Scaling invariance provides evidence for universality in the transition to chaos.
  • The diverging susceptibility further supports the analogy to phase transitions in statistical mechanics.