Representing piecewise linear functions by functions with small arity

Applicable Algebra in Engineering, Communication and Computing(2023)

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摘要
piecewise linear function can be described in different forms: as a nested expression of min - and max -functions, as a difference of two convex piecewise linear functions, or as a linear combination of maxima of affine-linear functions. In this paper, we provide two main results: first, we show that for every piecewise linear function f:ℝ^n→ℝ , there exists a linear combination of max -functions with at most n+1 arguments, and give an algorithm for its computation. Moreover, these arguments are contained in the finite set of affine-linear functions that coincide with the given function in some open set. Second, we prove that the piecewise linear function max (0, x_1, … , x_n) cannot be represented as a linear combination of maxima of less than n+1 affine-linear arguments. This was conjectured by Wang and Sun (IEEE Trans Inf Theory 51:4425–4431, 2005) in a paper on representations of piecewise linear functions as linear combination of maxima.
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关键词
Piecewise linear function,Linear combination of max-functions,ReLU network,Convex polyhedra,Minkowski sum,Zero volume polytope
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