Maximum-gap derivative sampling conjecture for shift-invariant spaces

Let V(ϕ)V(\phi) be a shift-invariant space, let kk and ν\nu be positive integers, and let xi:iZ\\{x_i:i\in\mathbb{Z}\\} be a separated set. For a function ff, consider the nonuniform samples of its derivatives f(j)(xi)f^{(j)}(x_i) for j=0,,k1j=0,\dots,k-1. Maximum-gap derivative sampling conjecture. If

supi(xi+νxi)<kν,\sup\limits_{i}(x_{i+\nu}-x_i)<k\nu,

then every function fV(ϕ)f\in V(\phi) can be reconstructed stably from its nonuniform sample values f(j)(xi):j=0,,k1,iZ\\{f^{(j)}(x_i):j=0,\dots,k-1, i\in\mathbb{Z}\\}. The statement generalizes the preceding maximum-gap sampling conjecture to simultaneous derivative sampling, but no resolution is given in the source.

Sources & referencesView supporting material

Primary source

A. Antony Selvan, “A new sampling density condition for shift-invariant spaces”, arXiv:1702.00170 (2017).

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