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Ergodicity of PCA: Equivalence between Spatial and Temporal Mixing Conditions

  
@article{ECP1116,
	author = {Pierre-Yves Louis},
	title = {Ergodicity of PCA: Equivalence between  Spatial and Temporal Mixing Conditions},
	journal = {Electron. Commun. Probab.},
	fjournal = {Electronic Communications in Probability},
	volume = {9},
	year = {2004},
	keywords = {},
	abstract = {For a general attractive Probabilistic Cellular Automata on $S^{\mathbb{Z}^d}$, we prove that the (time-) convergence towards equilibrium of this Markovian parallel dynamics, exponentially fast in the uniform norm, is equivalent to a condition ($\mathcal{A}$). This condition means the exponential decay of the influence from the boundary for the invariant measures of the system restricted to finite boxes.  For a class of reversible PCA dynamics on $\{-1;+1\}^{\mathbb{Z}^d}$ with a naturally associated Gibbsian potential $\varphi$, we prove that a (spatial-) weak mixing condition ($\mathcal{WM}$) for $\varphi$ implies the validity of the assumption ($\mathcal{A}$); thus exponential (time-) ergodicity of these dynamics towards the unique Gibbs measure associated to $\varphi$ holds. On some particular examples we state that exponential ergodicity holds as soon as there is no phase transition.},
	pages = {no. 13, 119-131},
	issn = {1083-589X},
	doi = {10.1214/ECP.v9-1116},    
        url = {http://ecp.ejpecp.org/article/view/1116}}