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Studying Large Amplitude Oscillatory Shear Response of Soft Materials
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Nonlinear response theory for Markov processes: simple models for glassy relaxation.

Gregor Diezemann1

  • 1Institut für Physikalische Chemie, Universität Mainz, Jakob-Welder-Weg 11, 55128 Mainz, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
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PubMed
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This study formulates nonlinear response theory for Markov processes. It reveals unique temperature-dependent behaviors in dielectric spectroscopy models and highlights the influence of variable choice on nonlinear response functions in glasses.

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Area of Science:

  • Physics
  • Physical Chemistry
  • Statistical Mechanics

Background:

  • Nonlinear response theory is crucial for understanding complex systems.
  • Markov processes and master equations are fundamental in describing system dynamics.
  • Dielectric spectroscopy often employs models like asymmetric double-well potentials.

Purpose of the Study:

  • To formulate a theory for nonlinear response of Markov processes.
  • To investigate nonlinear dielectric response in an asymmetric double-well potential model.
  • To analyze nonlinear response in a trap model with Gaussian density of states.

Main Methods:

  • Time-dependent perturbation theory for Green's functions.
  • Calculation of response functions up to third order in the external field.
  • Analysis of frequency and temperature dependencies of nonlinear response.

Main Results:

  • Static nonlinear response is finite except at a specific temperature T₀.
  • Cubic response exhibits a peak near the relaxation rate around T₀.
  • Nonlinear response strongly depends on the choice of dynamical variables in the trap model.

Conclusions:

  • The study provides a theoretical framework for nonlinear response in complex systems.
  • Specific temperature dependencies and frequency behaviors of nonlinear response were identified.
  • The choice of dynamical variables significantly impacts nonlinear response functions, relevant for supercooled liquids and glasses.