We report conditions for uniform approximation of two-variate functions in continuous settings, suggesting broader applications for approximation techniques.
It is known (Mazur, Grothendieck, Enflo, Davie) that not every function $f(x,y)$ continuous on the square can uniformly be approximated by linear combinations of its crosses $f(a,y)f(x,b)$. We obtain various conditions on a continuous two-variate function f ensuring that it can uniformly be approximated by linear combinations of its crosses. We prove that these conditions are sufficient using so-called maximal cross approximations, defined by analogy with one special type of cross approximations of matrices. Unlike the uniform case, cross approximation in L₂ is always possible, and we discuss various algorithms for this approximation. We also present examples where consecutive cross approximations of continuous functions diverge in Lₚ. Bibliography: 23 titles.
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Borodin et al. (2026) studied this question.
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