How limit cycles and quasi-cycles are related in systems with intrinsic noise
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In this paper, the authors formulate a description of fluctuations about the periodic orbit which allows the relation between the stochastic oscillations in the fixed-point phase and the oscillation in the limit cycle phase to be elucidated.Citations
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Oscillatory dynamics in rock-paper-scissors games with mutations
TL;DR: It is shown that persistent erratic oscillations (quasi-cycles) of large amplitude emerge from a noise-induced resonance phenomenon.
Journal ArticleDOI
Intrinsic noise in systems with switching environments
TL;DR: This work derives the stationary distributions of a number of model systems, in good agreement with simulations, and explicitly includes effects of intrinsic stochasticity at the level of the linear-noise approximation.
Journal ArticleDOI
Evolutionary dynamics, intrinsic noise, and cycles of cooperation.
TL;DR: Analysis of the stochastic evolutionary dynamics of finite populations of players interacting in a repeated prisoner's dilemma game shows that a mechanism of amplification of demographic noise can give rise to coherent oscillations in parameter regimes where deterministic descriptions converge to fixed points with complex eigenvalues.
Journal ArticleDOI
Limit cycles, complex Floquet multipliers, and intrinsic noise.
TL;DR: The effect is quite general, and occurs whenever the Floquet multipliers governing the stability of the limit cycle are complex, with the amplitude of the oscillations increasing as the instability boundary is approached.
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Stochastic lattice gas model describing the dynamics of the SIRS epidemic process
David R. de Souza,Tânia Tomé +1 more
TL;DR: It is shown that the SIRS stochastic lattice gas model exhibit a line of critical points separating the two phases: an absorbing phase where the lattice is completely full of S individuals and an active phase where S, I and R individuals coexist, which may or may not present population cycles.
References
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Exact Stochastic Simulation of Coupled Chemical Reactions
TL;DR: In this article, a simulation algorithm for the stochastic formulation of chemical kinetics is proposed, which uses a rigorously derived Monte Carlo procedure to numerically simulate the time evolution of a given chemical system.
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Stochastic processes in physics and chemistry
TL;DR: In this article, the authors introduce the Fokker-planck equation, the Langevin approach, and the diffusion type of the master equation, as well as the statistics of jump events.
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Nonlinear dynamics and Chaos
TL;DR: The logistic map, a canonical one-dimensional system exhibiting surprisingly complex and aperiodic behavior, is modeled as a function of its chaotic parameter, and the progression through period-doubling bifurcations to the onset of chaos is considered.
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Random Dynamical Systems
TL;DR: This chapter establishes the framework of random dynamical systems and introduces the concept of random attractors to analyze models with stochasticity or randomness.
Journal ArticleDOI
Concentration wave propagation in two-dimensional liquid-phase self-oscillating system.
TL;DR: This work deals with patterns in a thin layer of solution, in which cerium ions catalyse the oxidation of analogues of malonic acid by bromate by oscillations in the solution colour.