Pesin-Type Identity for Weak Chaos

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Pesin's identity provides a profound connection between entropy $h_{KS}$ (statistical mechanics) and the Lyapunov exponent $λ$ (chaos theory). It is well known that many systems exhibit sub-exponential separation of nearby trajectories and then $λ=0$. In many cases such systems are non-ergodic and do not obey usual statistical mechanics. Here we investigate the non-ergodic phase of the Pomeau-Manneville map where separation of nearby trajectories follows $δx_t= δx_0 e^{λ_α t^α}$ with $0<α<1$. The limit distribution of $λ_α$ is the inverse L{é}vy function. The average $< λ_α >$ is related to the infinite invariant density, and most importantly to entropy. Our work gives a generalized Pesin's identity valid for systems with an infinite invariant density.
5 pages, 3 figures

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