An -net of a metric space is a subset such that every has for some . Its least possible finite size is the metric covering number with closed balls. A maximal set with pairwise distances greater than is an -net.
Suppose the unit ball of a -dimensional normed vector space has metric covering number at , where . Cover by at most balls of radius . Discard every ball missing the unit sphere, and select one point of the unit sphere from each remaining ball. These selected points form a radius- metric net of the unit sphere, with
Indeed, a unit sphere point and the selected point from the same covering ball each lie within of its center, so the triangle inequality bounds their distance by . The selection ensures that all centers of the new metric net have unit norm; the original covering centers need not. For Euclidean balls, the volumetric bound for Euclidean metric nets supplies the initial metric covering number estimate.
For a symmetric matrix and an -metric net of the unit sphere, with , approximate a maximizing unit vector by . Expanding bounds its absolute value by . Rearrangement proves the bound. The volumetric bound for Euclidean metric nets limits the number of needed directions, allowing a union bound to control a random matrix.
A subset of the radius- Euclidean ball admits an -metric net of size at most . Take a maximal separated set: its disjoint radius- Euclidean balls lie in the radius- ball. Comparing Lebesgue measures gives the estimate. In particular, the unit sphere admits a net of radius one with at most points.

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