Given probability distributions and with , denote by the set of all couplings of , a convex subset of . Denote by the finite set of all extreme points of . It is well known that, as a strictly concave function, the Shannan entropy on takes its minimal value in . In this paper, first, the detailed structure of is well specified and all extreme points are enumerated by a special algorithm. As an application, the exact solution of the minimum-entropy coupling problem is obtained. Second, it is proved that for any strict Schur-concave function on , also takes its minimal value on . As an application, the exact solution of the minimum-entropy coupling problem is obtained for -entropy, a large class of entropy including Shannon entropy, Rényi entropy and Tsallis entropy etc. Finally, all the above are generalized to multi-marginal case.

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