A transport-entropy inequality controls an optimal expected transportation cost between probability distributions by their Kullback-Leibler divergence.
If each coordinate law satisfies the same convex transport-entropy inequality, then the product law satisfies the sum-cost version. Sequentially couple conditional coordinates, apply Jensen inequality, and use the chain rule for relative entropy.
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