Perturbation formulae for quenched random dynamics with applications to open systems and extreme value theory

06/06/2022
by   Jason Atnip, et al.
0

We consider quasi-compact linear operator cocycles ℒ^n_ω:=ℒ_σ^n-1ω∘⋯∘ℒ_σω∘ℒ_ω driven by an invertible ergodic process σ:Ω→Ω, and their small perturbations ℒ_ω,ϵ^n. We prove an abstract ω-wise first-order formula for the leading Lyapunov multipliers. We then consider the situation where ℒ_ω^n is a transfer operator cocycle for a random map cocycle T_ω^n:=T_σ^n-1ω∘⋯∘ T_σω∘ T_ω and the perturbed transfer operators ℒ_ω,ϵ are defined by the introduction of small random holes H_ω,ϵ in [0,1], creating a random open dynamical system. We obtain a first-order perturbation formula in this setting, which reads λ_ω,ϵ=λ_ω-θ_ωμ_ω(H_ω,ϵ)+o(μ_ω(H_ω,ϵ)), where μ_ω is the unique equivariant random measure (and equilibrium state) for the original closed random dynamics. Our new machinery is then deployed to create a spectral approach for a quenched extreme value theory that considers random dynamics with general ergodic invertible driving, and random observations. An extreme value law is derived using the first-order terms θ_ω. Further, in the setting of random piecewise expanding interval maps, we establish the existence of random equilibrium states and conditionally invariant measures for random open systems via a random perturbative approach. Finally we prove quenched statistical limit theorems for random equilibrium states arising from contracting potentials. We illustrate the theory with a variety of explicit examples.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro