Covering number
In mathematics, the idea of a covering number is to count how many small spherical balls would be needed to completely cover (with overlap) a given space. There are two closely related concepts as well, the packing number, which counts how many disjoint balls fit in a space, and the metric entropy, which counts how many points fit in a space when constrained to lie at some fixed minimum distance apart.
Mathematical Definition
More precisely, consider a subset of a metric space and a parameter . Denote the ball of radius centered at the point by . There are two notions of covering number, internal and external, along with the packing number and the metric entropy.
- The packing number is the largest number of points such that the balls fit within K and are pairwise disjoint.
- The internal covering number is the fewest number of points such that the balls cover .
- The external covering number is the fewest number of points such that the balls cover .
- The metric entropy is the largest number of points such that the points are -separated, i.e. for all .
Inequalities and Monotonicity
The internal and external covering numbers, the packing number, and the metric entropy are all closely related. The following chain of inequalities holds for any .[1]
In addition, the quantities are non-increasing in and non-decreasing in for each of . However, monotonicity in can in general fail for .
References
- ↑ Tao, Terrance. "Metric entropy analogues of sum set theory". Retrieved 2 June 2014.