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We investigate the approximation of the Monge problem (minimizing \int_ |T (x) – x| d(x) among the vector-valued maps T with prescribed image measure T # ) by adding a vanishing Dirichlet energy, namely \int_ |DT |^2. We study the -convergence as 0, proving a density result for Sobolev (or Lipschitz) transport maps in the class of transport plans. In a certain two-dimensional framework that we analyze in details, when no optimal plan is induced by an H ^1 map, we study the selected limit map, which is a new “special” Monge transport, possibly different from the monotone one, and we find the precise asymptotics of the optimal cost depending on , where the leading term is of order | log |.

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