Decay of correlations for the massless hierarchical Liouville model in infinite volume
arXiv:2408.16649
Abstract
Let be the balanced Gaussian Branching Random Walk on a -ary tree and let be the multiplicative chaos with parameter constructed from . In this work we establish the precise first order asymptotics of negative exponential moment of , i.e.\ we prove that for with and an explicit constant depending only on , we have as , \begin{equation} -\frac{1}{d^k} \log \mathbb{E}[e^{-λp^k M^A } ] \to h(λ), \end{equation} where is a non-explicit positive continuous function. This result allows us to study the law of tilted by for particular values of , with . In this setting we prove that the normalized norm of in generation is bounded and converges to when first and then . As an application we prove that in this setting, under the tilt and with , the Branching Random Walk exhibits a weak decay of correlations, which is not present in the non-tilted model. Our methods also apply to the usual Branching Random Walk and with replaced by , where and are the multiplicative chaoses with parameter constructed from and . In that case we prove that, as , \begin{equation} -\frac{1}{d^k} \log \mathbb{E}[e^{- \frac{λp^k}{2}( M^+ + M^-) }] \to \tilde h(λ), \end{equation} where is again a non-explicit positive continuous function.
38 pages, 2 figures