  Inspired by the idea of stochastic quantization proposed by Parisi and Wu, we
construct the transition probability matrix which plays a central role in the
renormalization group through a stochastic differential equation. By
establishing the discrete time stochastic dynamics, the renormalization
procedure can be characterized from the perspective of probability. Hence, we
will focus on the investigation of the infinite dimensional stochastic dynamic.
From the stochastic point of view, the discrete time stochastic dynamic can
induce a Markov chain. Via calculating the square field operator and the
Bakry-\'Emery curvature for a class of two-points functions, the local
Poincar\'e inequality is established, from which the estimate of correlation
functions can also be obtained. Finally, under the condition of ergodicity, by
choosing the couple relationship between the system parameter $K$ and the
system time $T$ properly when $T\rightarrow +\infty$, the two-points
correlation functions for limit system are also estimated.
