Directed percolation with incubation times

Andrea Jiménez-Dalmaroni1

  • 1Rudolf Peierls Centre for Theoretical Physics, University of Oxford, 1 Keble Road, Oxford OX1 3NP, UK. andrea@mpipks-dresden.mpg.de

Insights

We present a new model for directed percolation with long-range temporal diffusion, incorporating incubation times using Lévy distributions. This model shows critical exponents that continuously vary with the Lévy parameter.

Area of Science:

  • Statistical Physics
  • Complex Systems
  • Epidemic Modeling

Background:

  • Directed percolation models critical phenomena in systems with quenched disorder.
  • Standard models assume short-range interactions and Markovian processes.
  • Epidemic processes often exhibit non-Markovian features like incubation periods.

Purpose of the Study:

  • Introduce a novel directed percolation model with long-range temporal diffusion.
  • Incorporate non-Markovian dynamics, specifically Lévy-distributed incubation times.
  • Develop a field theory and renormalization group approach for this modified system.

Main Methods:

  • Generalization of the Cardy-Sugar method to include non-Markovian temporal diffusion.
  • Formulation of a field theory for the modified directed percolation model.
  • One-loop perturbative renormalization group analysis, employing asymptotic analysis for divergences.

Main Results:

  • Demonstrated the absence of field renormalization at one-loop and argued for its absence at all orders.
  • Derived characteristic scaling relations for directed percolation.
  • Identified a new scaling relation for critical exponents, showing continuous variation with the Lévy parameter.

Conclusions:

  • The proposed model offers a framework for studying critical phenomena with non-Markovian temporal effects.
  • The continuous variation of critical exponents with the Lévy parameter introduces a new universality class.
  • This work provides insights into epidemic processes with realistic incubation time distributions.

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