Decay of correlations for the massless hierarchical Liouville model in infinite volume
Abstract
Let (Av)v∈ T be the balanced Gaussian Branching Random Walk on a d-ary tree T and let MA be the multiplicative chaos with parameter γ ∈ (0, 2 d) constructed from A. In this work we establish the precise first order asymptotics of negative exponential moment of MA, i.e.\ we prove that for tk = λ pγk with λ>0 and pγ an explicit constant depending only on γ, we have as k ∞, equation -1dk E[e-λ pγk MA ] h(λ), equation where h (0,∞) R is a non-explicit positive continuous function. This result allows us to study the law of A tilted by e-tk MA for particular values of λ, with k ∞. In this setting we prove that the normalized L1 norm of A in generation k-a is bounded and converges to 0 when first k ∞ and then a 0. As an application we prove that in this setting, under the tilt e-tk MA and with k ∞, the Branching Random Walk A exhibits a weak decay of correlation, which is not present in the non-tilted model. Our methods also apply to the usual Branching Random Walk (Sv)v∈ T and with MA replaced by 12(M+ + M- ), where M+ and M- are the multiplicative chaoses with parameter γ ∈ (0, 2 d) constructed from S and -S. In that case we prove that, as k ∞, equation -1dk E[e- λ pγk2( M+ + M-) ] h(λ), equation where h (0,∞) R is again a non-explicit positive continuous function.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.