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The Minkowski content (named after Hermann Minkowski), or the boundary measure, of a set is a basic concept that uses concepts from geometry and measure theory to generalize the notions of length of a smooth curve in the plane, and area of a smooth surface in space, to arbitrary measurable sets.

It is typically applied to fractal boundaries of domains in the Euclidean space, but it can also be used in the context of general metric measure spaces.

It is related to, although different from, the Hausdorff measure.

Definition

For $${\displaystyle A\subset \mathbb {R} ^{n}}$$, and each integer m with $${\displaystyle 0\leq m\leq n}$$, the m-dimensional upper Minkowski content is

$${\displaystyle M^{*m}(A)=\limsup _{r\to 0^{+}}{\frac {\mu (\{x:d(x,A)<r\})}{\alpha (n-m)r^{n-m}}}}$$

and the m-dimensional lower Minkowski content is defined as

$${\displaystyle M_{*}^{m}(A)=\liminf _{r\to 0^{+}}{\frac {\mu (\{x:d(x,A)<r\})}{\alpha (n-m)r^{n-m}}}}$$

where $${\displaystyle \alpha (n-m)r^{n-m}}$$ is the volume of the (n−m)-ball of radius r and $$\mu$$ is an n-dimensional Lebesgue measure.

If the upper and lower m-dimensional Minkowski content of A are equal, then their common value is called the Minkowski content Mm(A).[1][2]
Properties

The Minkowski content is (generally) not a measure. In particular, the m-dimensional Minkowski content in Rn is not a measure unless m = 0, in which case it is the counting measure. Indeed, clearly the Minkowski content assigns the same value to the set A as well as its closure.
If A is a closed m-rectifiable set in Rn, given as the image of a bounded set from Rm under a Lipschitz function, then the m-dimensional Minkowski content of A exists, and is equal to the m-dimensional Hausdorff measure of A[3].

Gaussian isoperimetric inequality
Geometric measure theory
Isoperimetric inequality in higher dimensions
Minkowski–Bouligand dimension

Footnotes

Federer 1969, p. 273
Krantz 1999, p. 74

Federer, Herbert (1969). Geometric Measure Theory. Springer. p. paragraph 3.2.29.

References