
Let \(\omega\) be the set of nonnegative integers. The author analyzes the question: When does a function \(f: \omega^d\to\omega\) essentially depend on at most one coordinate? He defines: A function \(f: X^d\to X\) is elementary if its domain can be covered by finitely many rectangles (= sets of the form \(A_0\times\cdots\times A_{d-1}\)) such that \(f\) depends on at most one coordinate on each one of them. If \(I\cap J= \emptyset\), then, for \({\mathbf x}\in X^I\), \({\mathbf y}\in X^J\), a function \({\mathbf x}\wedge{\mathbf y}\) is defined by \(({\mathbf x}\wedge{\mathbf y})(\xi)={\mathbf x}(\xi)\) if \(\xi\in I\), resp. \(={\mathbf y}(\xi)\) if \(\xi\in J\). Let be \(f: X^d\to X\) and \(g\) a mapping from a subset of \(Y^k\) into \(Y\). Then \(g\) is called reducible to \(f\) if there is a disjoint partition \(d= s_0\cup\cdots\cup s_{k-1}\) of \(d\) into nonempty sets and maps \(p_i: Y\to X^{s_i}\) for \(i n\).
Computational Theory and Mathematics, Other classical set theory (including functions, relations, and set algebra), elementary function, Discrete Mathematics and Combinatorics, dependence on variables, Theoretical Computer Science
Computational Theory and Mathematics, Other classical set theory (including functions, relations, and set algebra), elementary function, Discrete Mathematics and Combinatorics, dependence on variables, Theoretical Computer Science
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