Given a convex bounded domain in and an integer , we associate to any jointly -monotone -tuplet of vector fields from into , a Hamiltonian on ${}^{d} \times {}^{d} … \times {}^{d}$, that is concave in the first variable, jointly convex in the last variables such that for almost all , \hbox{$(u_1(x), u_2(x),…, u_{N-1}(x))= \nabla_{2,…,N} H(x,x,…,x)HN\sum% \limits_{i=0}^{N-1}H(\sigma ^{i}())\leq 0% =(x_{1},…,x_{N})\in \Omega ^{N}\sigma {}^{d}\sigma (x_{1},x_2,…,x_{N})=(x_{2},x_{3},…,x_{N},x_{1})HN$% -antisymmetric in a sense to be defined below. This can be seen as an extension of a theorem of E. Krauss, which associates to any monotone operator, a concave-convex antisymmetric saddle function. We also give various variational characterizations of vector fields that are almost everywhere -monotone, showing that they are dual to the class of measure preserving -involutions on .

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