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Free transportation cost inequalities via random matrix approximation
Authors:Fumio Hiai  Dénes Petz  Yoshimichi Ueda
Institution:(1) Graduate School of Information Sciences, Tohoku University, Aoba-ku, Sendai, 980-8579, Japan;(2) Department for Mathematical Analysis, Budapest University of Technology and Economics, H-1521 Budapest XI., Hungary;(3) Graduate School of Mathematics, Kyushu University, Fukuoka, 810-8560, Japan
Abstract:By means of random matrix approximation procedure, we re-prove Biane and Voiculescursquos free analog of Talagrandrsquos transportation cost inequality for measures on R in a more general setup. Furthermore, we prove the free transportation cost inequality for measures on T as well by extending the method to special unitary random matrices.Supported in part by Grant-in-Aid for Scientific Research (C)14540198 and by the program ldquoR&D support scheme for funding selected IT proposalsrdquo of the Ministry of Public Management, Home Affairs, Posts and Telecommunications.Supported in part by MTA-JSPS project (Quantum Probability and Information Theory) and by OTKA T032662.Supported in part by Grant-in-Aid for Young Scientists (B)14740118.Mathematics Subject Classification (2000): Primary: 46L54, 46L53; Secondary: 60F10, 15A52, 94A17.
Keywords:Transportation cost inequality  Free probability  Random matrix  Wasserstein distance  Free entropy  Relative free entropy
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