Doubling measure

In mathematics, a metric space X with metric d is said to be doubling if there is some constant M > 0 such that for any x in X and r > 0, the ball B(x, r) = {y:|x − y| < r} may be contained in a union of no more than M many balls with radius r/2.^[1] Euclidean spaces ℝ^d equipped with the usual Euclidean metric are examples of doubling spaces where the doubling constant M depends on the dimension d.

Assouad's embedding theorem

An important question in metric space geometry is to characterize those metric spaces that can be embedded in some Euclidean space by a bi-Lipschitz function. This means that one can essentially think of the metric space as a subset of Euclidean space. Not all metric spaces may be embedded in Euclidean space. Doubling metric spaces, on the other hand, would seem like they have more of a chance, since the doubling condition says, in a way, that the metric space is not finite dimensional. However, this is still not the case in general. The Heisenberg group with its Carnot metric is an example of a doubling metric space which cannot be embedded in any Euclidean space.^[2]

Assouad's Theorem states that, for a M-doubling metric space X, if we give it the metric d(x, y)^ε for some 0 < ε < 1, then there is a L-bi-Lipschitz map f:X → ℝ^d, where d and L depend on M and ε.

Doubling Measures

Definition

A measure on a metric space X is said to be doubling if the measure of any ball is approximately the measure of its double, or more precisely, if there is a constant C > 0 such that

$\mu(B(x,2r))\leq C\mu(B(x,r)) \,$

for all x in X and r > 0. In this case, we say μ is C-doubling.

A measure space that supports a doubling measure is necessarily a doubling metric space, where the doubling constant depends on the constant C.

Conversely, any compact doubling metric space supports a doubling measure.^[3]

Examples

A simple example of a doubling measure is Lebesgue measure on a Euclidean space. One can, however, have doubling measures on Euclidean space that are singular with respect to Lebesgue measure. One example on the real line is the weak limit of the following sequence of measures^[4]:

$d\mu_n = \prod_{i=1}^n (1+a\cos (3^i 2\pi x))\,dx,\;\;\; |a|<1.$

One can construct another singular doubling measure μ on the interval [0, 1] as follows: for each k ≥ 0, partition the unit interval [0,1] into 3^k intervals of length 3^−k. Let Δ be the collection of all such intervals in [0,1] obtained for each k (these are the triadic intervals), and for each such interval I, let m(I) denote its "middle third" interval. Fix 0 < δ < 1 and let μ be the measure such that μ([0, 1]) = 1 and for each triadic interval I, μ(m(I)) = δμ(I). Then this gives a singular measure on [0, 1] singular to Lebesgue measure.^[5]

Applications

The definition of a doubling measure may seem arbitrary, or purely of geometric interest. However, many results from classical harmonic analysis extend to the setting of metric spaces with doubling measures.

1. ^ Heinonen, Juha (2001). Lectures on Analysis on Metric Spaces. Universitext. Springer-Verlag. pp. x+140. ISBN 0-387-95104-0. 
2. ^ Pansu, Pierre (1989). "Métriques de Carnot-Carathéodory et quasiisométries des espaces symétriques de rang un". Ann. of Math. (2) 129 (1): 1–60. 
3. ^ Wu, Jang-Mei (1998). "Hausdorff dimension and doubling measures on metric spaces". Proc. Amer. Math. Soc. 126 (5): 1453–1459. 
4. ^ Zygmund, A. (2002). Cambridge Mathematical Library (third ed.). Cambridge University Press. pp. xii; Vol. I: xiv+383 pp.; Vol. II: viii+364. ISBN 0-521-89053-5. 
5. ^ Kahane, J.-P. (1969). "Trois notes sur les ensembles parfaits linéaires". Enseignement Math. (2) 15: 185–192.