The order-s restricted isometry constant is the smallest nonnegative satisfying for every vector with at most nonzero coordinates. Equivalently it is . The sparse-vector quantifier is essential, and the constant can equal zero.
For and , noisy basis pursuit has error , with constants depending only on . One admissible pair isThese constants follow from Theorem 3.3 of the sharp restricted-isometry recovery analysis, with the actual noise bounded by the tolerance . The restriction is necessary: equal unit columns give without unique recovery. The coefficient of the approximation term cannot universally be one.
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