This paper establishes a lower bound on the computational complexity of smooth functions between smooth manifolds. It generalizes one for finite (Boolean) functions obtained (by Arbib and Spira [2]) by counting variables. Instead of a counting procedure, which cannot be used in the infinite case, the dimension of the message space of a certain type of revelation mechanism provides the bound. It also provides an intrinsic measure of the number of variables on which the function depends. This measure also gives a lower bound on computational costs associated with realizing or implementing the function by a decentralized mechanism, or by a game form.
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Article provided by Springer in its journal Economic Theory.
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Ehud Kalai, 1995.
"Games,"
Discussion Papers
1141, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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