Representing Piecewise-Linear Functions by Functions with Minimal Arity

Christoph Koutschan, Anton Ponomarchuk, Josef Schicho
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Abstract

Any continuous piecewise-linear function $F\colon \mathbb{R}^{n}\to \mathbb{R}$ can be represented as a linear combination of $\max$ functions of at most $n+1$ affine-linear functions. In our previous paper [``Representing piecewise linear functions by functions with small arity'', AAECC, 2023], we showed that this upper bound of $n+1$ arguments is tight. In the present paper, we extend this result by establishing a correspondence between the function $F$ and the minimal number of arguments that are needed in any such decomposition. We show that the tessellation of the input space $\mathbb{R}^{n}$ induced by the function $F$ has a direct connection to the number of arguments in the $\max$ functions.
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用具有最小 Arity 的函数表示片线性函数
任何连续的片断线性函数 $F\colon \mathbb{R}^{n}\to\mathbb{R}$ 都可以表示为最多 $n+1$ 仿真线性函数的 $\max$ 函数的线性组合。在我们之前的论文["Representingpiecewise linear functions by functions with small arity'', AAECC, 2023]中,我们证明了这个 $n+1$ 参数的上限是很紧的。在本文中,我们通过建立函数 $F$ 与任何此类分解所需的最小参数数之间的对应关系来扩展这一结果。我们证明,函数 $F$ 所诱导的输入空间 $\mathbb{R}^{n}$ 的细分与 $\max$ 函数中的参数数有直接联系。
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