2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/219603We continue our investigation on the transportation-information inequalities $W_pI$ for a symmetric markov process, introduced and studied in \cite{GLWY}. We prove that $W_pI$ implies the usual transportation inequalities $W_pH$, then the corresponding concentration inequalities for the invariant measure $μ$. We give also a direct proof that the spectral gap in the space of Lipschitz functions for a diffusion process implies $W_1I$ (a result due to \cite{GLWY}) and a Cheeger type's isoperimetric inequality. Finally we exhibit relations between transportation-information inequalities and a family of functional inequalities (such as $Φ$-log Sobolev or $Φ$-Sobolev).Probability60E15, 60K35; 60G60Transportation-information inequalities for Markov processes (II) : relations with other functional inequalitiestext