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Exact ReLU realization of tensor-product refinement iterates

arXiv 2605.03917 ↗First posted 5 May 2026math.CA cs.LGcited by 0

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Abstract (arXiv)

We study scalar dyadic refinement operators on R^2 of the form (Vf)(x,y) = sum_{(j,k) in Z^2} c_{j,k} f(2x-j, 2y-k), where only finitely many mask coefficients c_{j,k} are nonzero. Under a fixed support-window hypothesis, we prove that for every compactly supported continuous piecewise linear seed g:R^2->R, the iterates V^n g admit exact ReLU realizations of fixed width and depth O(n). This gives a first genuinely two-dimensional extension of the exact realization theory for refinement cascades. Using the one-dimensional exact loop-controller framework, the proof transports the tensor-product residual dynamics exactly on the product of two polygonal loops and reduces the remaining seam ambiguity to a final readout and selector step. The matrix cascade is then handled by a fixed-depth recursive block, and general compactly supported continuous piecewise linear seeds are reduced to a finite decomposition together with exact clamped gluing on the support window. This identifies the tensor-product dyadic case as a natural first multivariate instance of the loop-controller method for refinement iterates.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 5 May 2026.

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References · 2

  1. 2021Neural Network Approximation of Refinable Functionscited by 15
  2. 2026Exact Loop Controllers for ReLU Realization of Homogeneous Curve Refinementscited by 4

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