Quasisymmetric map

In mathematics, a quasisymmetric homeomorphism between metric spaces is a map that generalizes bi-Lipschitz maps. While bi-Lipschitz maps shrink or expand the diameter of a set by no more than a multiplicative factor, quasisymmetric maps satisfy the weaker geometric property that they preserve the relative sizes of sets: if two sets A and B have diameters t and are no more than distance t apart, then the ratio of their sizes changes by no more than a multiplicative constant. These maps are also related to quasiconformal maps, since in many circumstances they are in fact equivalent.[1]

Definition

Let (X, dX) and (Y, dY) be two metric spaces. A homeomorphism f:X  Y is said to be η-quasisymmetric if there is an increasing function η : [0, ∞)  [0, ∞) such that for any triple x, y, z of distinct points in X, we have

Basic properties

Inverses are quasisymmetric
If f : X  Y is an invertible η-quasisymmetric map as above, then its inverse map is -quasisymmetric, where (t) = 1/η−1(1/t).
Quasisymmetric maps preserve relative sizes of sets
If A and B are subsets of X and A is a subset of B, then

Examples

Weakly quasisymmetric maps

A map f:X→Y is said to be H-weakly-quasisymmetric for some H > 0 if for all triples of distinct points x,y,z in X, we have

Not all weakly quasisymmetric maps are quasisymmetric. However, if X is connected and X and Y are doubling, then all weakly quasisymmetric maps are quasisymmetric. The appeal of this result is that proving weak-quasisymmetry is much easier than proving quasisymmetry directly, and in many natural settings the two notions are equivalent.

δ-monotone maps

A monotone map f:H  H on a Hilbert space H is δ-monotone if for all x and y in H,

To grasp what this condition means geometrically, suppose f(0) = 0 and consider the above estimate when y = 0. Then it implies that the angle between the vector x and its image f(x) stays between 0 and arccos δ < π/2.

These maps are quasisymmetric, although they are a much narrower subclass of quasisymmetric maps. For example, while a general quasisymmetric map in the complex plane could map the real line to a set of Hausdorff dimension strictly greater than one, a δ-monotone will always map the real line to a rotated graph of a Lipschitz function L:ℝ  ℝ.[2]

Doubling measures

The real line

Quasisymmetric homeomorphisms of the real line to itself can be characterized in terms of their derivatives.[3] An increasing homeomorphism f:ℝ  ℝ is quasisymmetric if and only if there is a constant C > 0 and a doubling measure μ on the real line such that

Euclidean space

An analogous result holds in Euclidean space. Suppose C = 0 and we rewrite the above equation for f as

Writing it this way, we can attempt to define a map using this same integral, but instead integrate (what is now a vector valued integrand) over ℝn: if μ is a doubling measure on ℝn and

then the map

is quasisymmetric (in fact, it is δ-monotone for some δ depending on the measure μ).[4]

Quasisymmetry and quasiconformality in Euclidean space

Let Ω and Ω´ be open subsets of ℝn. If f : Ω  Ω´ is η-quasisymmetric, then it is also K-quasiconformal, where K > 0 is a constant depending on η.

Conversely, if f : Ω  Ω´ is K-quasiconformal and B(x, 2r) is contained in Ω, then f is η-quasisymmetric on B(x, r), where η depends only on K.

gollark: It's kind of funny that the entire RPi3 GPU has less throughput than a single core of my CPU.
gollark: Exactly.
gollark: > The VideoCore IV GPU, in the configuration as found in the Raspberry Pi models, has a theoretical maximum performance of 24 GPFLOS and is therefore very powerful in comparison to the host CPU. The GPU (which is located on the same chip as the CPU) has 12 cores, able of running independent instructions each, supports a SIMD vector-width of 16 elements natively and can access the RAM directly via DMA.So obviously ALL should write code for the VC4.
gollark: Good ideaeae!
gollark: How come it only has CPU architectures? It should run on GPUs too.

See also

  • Douady-Earle extension

References

  1. Heinonen, Juha (2001). Lectures on Analysis on Metric Spaces. Universitext. New York: Springer-Verlag. pp. x+140. ISBN 978-0-387-95104-1.
  2. Kovalev, Leonid V. (2007). "Quasiconformal geometry of monotone mappings". Journal of the London Mathematical Society. 75 (2): 391–408. CiteSeerX 10.1.1.194.2458. doi:10.1112/jlms/jdm008.
  3. Beurling, A.; Ahlfors, L. (1956). "The boundary correspondence under quasiconformal mappings". Acta Math. 96: 125–142. doi:10.1007/bf02392360.
  4. Kovalev, Leonid; Maldonado, Diego; Wu, Jang-Mei (2007). "Doubling measures, monotonicity, and quasiconformality". Math. Z. 257 (3): 525–545. arXiv:math/0611110. doi:10.1007/s00209-007-0132-5.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.