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Transportation-information inequalities for continuum Gibbs measures

  
@article{ECP1670,
	author = {Yutao Ma and Ran Wang and Liming Wu},
	title = {Transportation-information inequalities for continuum Gibbs measures},
	journal = {Electron. Commun. Probab.},
	fjournal = {Electronic Communications in Probability},
	volume = {16},
	year = {2011},
	keywords = {transportation-information inequality, concentration inequality, Gibbs measure, Lyapunov function method},
	abstract = {The objective of this paper is to establish explicit concentration inequalities for the Glauber dynamics related with continuum or discrete Gibbs measures. At first we establish the optimal transportation-information $W_1 I$-inequality for the $M/M/\infty$-queue associated with the Poisson measure, which improves several previous known results. Under the Dobrushin's uniqueness condition, we obtain some explicit  $W_1 I$-inequalities for Gibbs measures both in the continuum and in the discrete lattice. Our method is a combination of Lipschitzian spectral gap, the Lyapunov test function approach and the tensorization technique.},
	pages = {no. 52, 600-613},
	issn = {1083-589X},
	doi = {10.1214/ECP.v16-1670},    
        url = {http://ecp.ejpecp.org/article/view/1670}}