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A formula for the Entropy of the Convolution of Gibbs pro...
Artur O. Lopes · 2017-02-10 · via math.PR updates on arXiv.org

Consider the transformation $T:S^1 \to S^1$, such that $T(x)=2\, x$ (mod 1), and where $S^1$ is the unitary circle. Suppose $J:S^1 \to \mathbb{R}$ is Holder continuous and positive, and moreover that, for any $y\in S^1$, we have that $\sum_{x\,\,\text{such that}\,\,\, T(x)= y} \, J(x)=1.$ We say that $ρ$ is a Gibbs probability for the Holder continuous potential $\log J$, if $\mathcal{L}_{\log J}^* \,(ρ)=ρ,$ where $\mathcal{L}_{\log J}$ is the Ruelle operator for $\log J$. We call $J$ the Jacobian of $ρ$. Suppose $ν=μ_1*μ_2$ is the convolution of two Gibbs probabilities $μ_1$ and $μ_2$ associated, respectively, to $\log J_1$ and $\log J_2$. We show that $ν$ is also Gibbs and its Jacobian $\tilde{J}$ is given by $\tilde{J}(u) = \int J_1(u-x) d μ_2(x)$ In this case, the entropy $h(ν)$ is given by the expression $$ h(ν) = - \int\,[\,\,\int\, \log \,(\,\int J_1(r+s-x) d μ_2(x)\,) \, d μ_2(r)\,\, ]\,\,d μ_1 (s).$$ For a fixed $μ_2$ we consider differentiable variations $μ_1^t$, $t \in (-ε,ε)$, of $μ_1$ on the Banach manifold of Gibbs probabilities, where $μ_1^0=μ_1$, and we estimate the derivative of the entropy $h(μ_1^t * μ_2)$ at $t=0$. We also present an expression for the Jacobian of the convolution of a Gibbs probability $ρ$ with the invariant probability with support on a periodic orbit of period two. This expression is based on the Jacobian of $ρ$ and two Radon-Nidodym derivatives.