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.