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In mathematics, Lebesgue's density theorem states that for any Lebesgue measurable set ${\displaystyle A\subset \mathbb {R} ^{n}}$, the "density" of A is 0 or 1 at almost every point in ${\displaystyle \mathbb {R} ^{n}}$. Additionally, the "density" of A is 1 at almost every point in A. Intuitively, this means that the "edge" of A, the set of points in A whose "neighborhood" is partially in A and partially outside of A, is negligible.

Let μ be the Lebesgue measure on the Euclidean space R and A be a Lebesgue measurable subset of R. Define the approximate density of A in a ε-neighborhood of a point x in R as

${\displaystyle d_{\varepsilon }(x)={\frac {\mu (A\cap B_{\varepsilon }(x))}{\mu (B_{\varepsilon }(x))}}}$

where B_ε denotes the closed ball of radius ε centered at x.

Lebesgue's density theorem asserts that for almost every point x of A the density

${\displaystyle d(x)=\lim _{\varepsilon \to 0}d_{\varepsilon }(x)}$

exists and is equal to 0 or 1.

In other words, for every measurable set A, the density of A is 0 or 1 almost everywhere in R. However, if μ(A) > 0 and μ(R \ A) > 0, then there are always points of R where the density is neither 0 nor 1.

For example, given a square in the plane, the density at every point inside the square is 1, on the edges is 1/2, and at the corners is 1/4. The set of points in the plane at which the density is neither 0 nor 1 is non-empty (the square boundary), but it is negligible.

The Lebesgue density theorem is a particular case of the Lebesgue differentiation theorem.

Thus, this theorem is also true for every finite Borel measure on R instead of Lebesgue measure, see Discussion.

See also

• Lebesgue differentiation theorem – Mathematical theorem in real analysis

References

1. Mattila, Pertti (1999). Geometry of Sets and Measures in Euclidean Spaces: Fractals and Rectifiability. ISBN 978-0-521-65595-8.

• Hallard T. Croft. Three lattice-point problems of Steinhaus. Quart. J. Math. Oxford (2), 33:71-83, 1982.

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