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 infinite 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. Assouad's Theorem states that, for a M-doubling metric space X, if we give it the metric dε for some 0 < ε < 1, then there is a L-bi-Lipschitz map f:X → ℝd, where d and L depend on M and ε.
Doubling Measures
Definition
A nontrivial measure on a metric space X is said to be doubling if the measure of any ball is finite and approximately the measure of its double, or more precisely, if there is a constant C > 0 such that for all x in X and r > 0. In this case, we say μ is C-doubling. A metric measure space that supports a doubling measure is necessarily a doubling metric space, where the doubling constant depends on the constant C. Conversely, any complete doubling metric space supports a doubling measure.
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 singularwith respect to Lebesgue measure. One example on the real line is the weak limit of the following sequence of measures: One can construct another singular doubling measure μ on the interval as follows: for each k ≥ 0, partition the unit interval into 3k intervals of length 3−k. Let Δ be the collection of all such intervals in obtained for each k, and for each such interval I, let m denote its "middle third" interval. Fix 0 < δ < 1 and let μ be the measure such that μ = 1 and for each triadic interval I, μ = δμ. Then this gives a doubling measure on singular to Lebesgue measure.
Applications
The definition of a doubling measure may seem arbitrary, or purely of geometric interest. However, many results from classical harmonic analysis and computational geometry extend to the setting of metric spaces with doubling measures.