Stochastic resonance is a subtle, yet powerful phenomenon in which noise plays an interesting role of amplifying a signal instead of attenuating it. It has attracted great attention with a vast number of applications in physics, chemistry, biology, etc. Popular measures to study stochastic resonance include signal-to-noise ratios, residence time distributions, and different information theoretic measures. Here, we show that the information length provides a novel method to capture stochastic resonance. The information length measures the total number of statistically different states along the path of a system. Specifically, we consider the classical double-well model of stochastic resonance in which a particle in a potential V(x,t)=[−x2/2+x4/4−Asin(ωt)x] is subject to an additional stochastic forcing that causes it to occasionally jump between the two wells at x≈±1 . We present direct numerical solutions of the Fokker–Planck equation for the probability density function p(x,t) for ω=10−2 to 10−6 , and A∈[0,0.2] and show that the information length shows a very clear signal of the resonance. That is, stochastic resonance is reflected in the total number of different statistical states that a system passes through.
|Publication status||Published - 17 Nov 2019|
|Event||5th International Electronic Conference on Entropy and Its Applications - |
Duration: 18 Nov 2019 → 30 Nov 2019
Conference number: 5