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Δ hyperbolic space

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In mathematics a δ-hyperbolic space is a geodesic metric space satisfying certain metric relations (depending quantitatively on the nonnegative real number δ) between points. The definitions are inspired by the metric properties of classical hyperbolic geometry and of trees. Hyperbolicity is a large-scale property, and is very useful to the study of certain infinite groups called (Gromov-)hyperbolic groups.

Contents

Definitions

In this paragraph we give various definitions of a δ -hyperbolic space. A metric space is said to be (Gromov-) hyperbolic if it is δ -hyperbolic for some δ > 0 .

Definitions using triangles

Let X be a geodesic metric space and x , y , z X . A geodesic triangle with vertices x , y , z is the union of three geodesic segments [ x , y ] , [ y , z ] , [ z , x ] (where [ p , q ] denotes an segment with endpoints p and q ).

If for any point m [ x , y ] there is a point in [ y , z ] [ z , x ] at distance less than δ of m , and similarly for points on the other edges, and δ 0 then the triangle is said to be δ -slim .

A definition of a δ -hyperbolic space is then a geodesic metric space all of whose geodesic triangles are δ -slim. This definition is generally credited to Eliyahu Rips.

Another definition can be given using the notion of a C -approximate center of a geodesic triangle: this is a point which is at distance at most C of any edge of the triangle (an "approximate" version of the incenter). A space is δ -hyperbolic if every geodesic triangle has a δ -center.

These two definitions of a δ -hyperbolic space are not exactly equivalent but there exists k > 1 such that a δ -hyperbolic space in the first sense is k δ -hyperbolic in the second, and vice versa. Thus the notion of an hyperbolic space is independent of the chosen definition.

Definition using the Gromov product

Let ( X , d ) be a metric space. The Gromov product of two points y , z X with respect to a third one x X is defined by the formula:

( y , z ) x = 1 2 ( d ( x , y ) + d ( x , z ) d ( y , z ) ) .

Gromov's definition of an hyperbolic metric space is then as follows: X is δ -hyperbolic if and only if all x , y , z , w X satisfy the four point condition

( x , z ) w min ( ( x , y ) w , ( y , z ) w ) δ

Up to a multiplicative constant on δ this definition is the same as that using triangles. Note that the definition via Gromov products does not require the space to be geodesic.

Examples

Two "degenerate" examples of hyperbolic spaces are spaces with bounded diameter (for example finite or compact spaces) and the real line.

Metric trees and more generally real trees are the simplest interesting examples of hyperbolic spaces as they are 0-hyperbolic (i.e. all triangles are tripods).

The hyperbolic plane is hyperbolic (every triangle is contained in an ideal triangle and those have a circumcircle of fixed radius). The Euclidean plane is not hyperbolic, for example because of the existence of homotheties.

The 1-skeleton of the triangulation by Euclidean equilateral triangles is not hyperbolic (it is in fact quasi-isometric to the Euclidean plane). A triangulation of the plane R 2 has an hyperbolic 1-skeleton if every vertex has degree 7 or more.

The two-dimensional grid is not hyperbolic (it is quasi-isometric to the Euclidean plane). It is the Cayley graph of the fundamental group of the torus; the Cayley graphs of the fundamental groups of a surface of higher genus is hyperbolic (it is in fact quasi-isometric to the hyperbolic plane).

Hyperbolicity and curvature

The hyperbolic plane (and more generally any Hadamard manifolds of sectional curvature 1 ) is 2 -hyperbolic. If we scale the Riemannian metric by a factor λ > 0 then the distances are multiplied by λ and thus we get a space that is λ δ -hyperbolic. Since the curvature is multiplied by λ 1 we see that in this example "the more (negatively) curved the space is, the more hyperbolic it is (measured by its hyperbolicity constant δ )".

Similar examples are CAT spaces of negative curvature. With respect to curvature and hyperbolicity it should be noted however that while curvature is a property that is essentially local, hyperbolicity is a large-scale property which does not see local (i.e. happening in a bounded region) metric phenomena. For example, the union of an hyperbolic space with a compact space with any metric extending the original ones remains hyperbolic.

Invariance under quasi-isometry

One way to precise the meaning of "large scale" is to require invariance under quasi-isometry. This is true of hyperbolicity.

If a metric space Y is quasi-isometric to a δ -hyperbolic space X then there exists δ such that Y is δ -hyperbolic.

The constant δ depends on δ and on the multiplicative and additive constants for the quasi-isometry.

Approximate trees in hyperbolic spaces

The definition of an hyperbolic space in terms of the Gromov product can be seen as saying that the metric relations between any four points are the same as they would be in a tree, up to the additive constant δ . More generally the following property shows that any finite subset of an hyperbolic space looks like a finite tree.

For any n , δ there is a constant C such that the following holds: if x 1 , , x n are points in a δ -hyperbolic space X there is a finite tree T and an embedding f : T X such that x i f ( T ) for all i = 1 , , n and i , j : d ( f 1 ( x i ) , f 1 ( x j ) ) d ( x i , x j ) d ( f 1 ( x i ) , f 1 ( x j ) ) + C

The constant C can be taken to be δ h ( n ) with h ( n ) = O ( log n ) and this is optimal.

Exponential growth of distance and isoperimetric inequalities

In an hyperbolic space X we have the following property:

There are μ , K > 0 such that for all p , x , y X with d ( p , x ) = d ( p , y ) =: r , every path α joigning x to y and staying at distance at least r of p has length at least e μ d ( x , y ) K .

Informally this means that the circumference of a "circle" of radius r grows exponentially with r . This is reminiscent of the isoperimetric problem in the Euclidean plane. Here is a more specific statement to this effect.

Suppose that X is a cell complex of dimension 2 such that its 1-skeleton is hyperbolic, and there exists C such that the boundary of any 2-cell contains at most C 1-cells. Then there is a constant λ > 0 such that for any finite subcomplex Y X we have A r e a ( Y ) λ L e n g t h ( Y )

Here the area of a 2-complex is the number of 2-cells and the length of a 1-complex is the number of 1-cells. The statement above is a linear isoperimetric inequality ; it turns out that having such an isoperimetric inequality characterises Gromov-hyperbolic spaces. Linear isoperimetric inequalities were inspired by the small cancellation conditions from combinatorial group theory.

Quasiconvex subspaces

A subspace Y of a geodesic metric space X is said to be quasiconvex if there is a constant C such that any geodesic in x between two points of Y stays within distance C of Y .

A quasi-convex subspace of an hyperbolic space is hyperbolic.

Asymptotic cones

All asymptotic cones of an hyperbolic space are real trees. This property characterises hyperbolic spaces.

The boundary of an hyperbolic space

Generalising the construction of the ends of a simplicial tree there is a natural notion of boundary at infinity for hyperbolic spaces, which has proven very useful for analysing group actions.

In this paragraph X is a geodesic metric space which is hyperbolic.

Definition using the Gromov product

A sequence ( x n ) X N is said to converge to infinity if for some (or any) point p we have that ( x n , x m ) p as both n and m go to infinity. Two sequences ( x n ) , ( y n ) converging to infinity are considered equivalent when lim n + ( x n , y n ) p = + (for some or any p ). The boundary of X is the set of equivalence classes of sequences which converge to infinity, which is denoted X .

If ξ , η are two points on the boundary then their Gromov product is defined to be:

( ξ , η ) = sup ( x n ) = ξ , ( y n ) = η ( lim inf n , m + ( x n , y m ) p )

which is finite and does not depend on p X . One can then define a topology on X using the functions ( , ξ ) . This topology on X is metrisable and there is a distinguished family of metrics defined using the Gromov product.

Definition for proper spaces using rays

Let α , β be two quasi-isometric embeddings of [ 0 , + [ into X ("quasi-geodesic rays"). They are considered equivalent if and only if the function t d ( α ( t ) , β ( t ) ) is bounded on [ 0 , + [ . If the space X is proper then the set of all such embeddings modulo equivalence with its natural topology is homeomorphic to X as defined above.

A similar realisation is to fix a basepoint and consider only quasi-geodesic rays originating from this point. In case X is geodesic and proper one can also restrict to genuine geodesic rays.

Examples

When X = T is a simplicial regular tree the boundary is just the space of ends, which is a Cantor set. Fixing a point x T yields a natural distance on T : two points represented by rays α , β originating at x are at distance exp ( L e n g t h ( α β ) ) .

When X = H 2 is the Poincaré disk model for the hyperbolic plane the boundary is identified with the unit circle. Fixing a point z 0 H 2 yields the Riemannian metric

( 1 | z 0 | 2 | z z 0 | 2 ) 2 | d z | 2

which is related to the Poisson kernel for the unit disk. The boundary of n -dimensional hyperbolic space is homeomorphic to the n 1 -dimensional sphere and the metrics are similar to the one above.

Busemann functions

If X is proper then its boundary is homeomorphic to the space of Busemann functions on X modulo translations.

The action of isometries on the boundary and their classification

A quasi-isometry between two hyperbolic spaces X , Y induces a homeomorphism between the boundaries.

In particular the group of isometries of X acts by homeomorphisms on X . This action can be used to classify isometries according to their dynamical behaviour on the boundary, generalising that for trees and classical hyperbolic spaces. Let g be an isometry of X , then one of the following cases occur:

  • First case: g has a bounded orbit on X (in case X is proper this implies that g has a fixed point in X ). Then it is called an elliptic isometry.
  • Second case: g has exactly two fixed points ξ + , ξ on X and every positive orbit { g n ξ : n 0 } , ξ ξ accumulates only at ξ + . Then g is called an hyperbolic isometry.
  • Third case: g has exactly one fixed point on the boundary and all orbits accumulate at this point. Then it is called a parabolic isometry.
  • More examples

    Subsets of the theory of hyperbolic groups can be used to give more examples of hyperbolic spaces, for instance the Cayley graph of a small cancellation group. It is also known that the Cayley graphs of certain models of random groups (which is in effect a randomly-generated infinite regular graph) tend to be hyperbolic very often.

    It can be difficult and interesting to prove that certain spaces are hyperbolic. For example, the following hyperbolicity results have led to new phenomena being discovered for the groups acting on them.

  • The hyperbolicity of the curve complex has led to new results on the mapping class group.
  • Similarly, the hyperbolicity of certain graphs associated to the outer automorphism group Out(Fn) has led to new results on this group.
  • References

    Δ-hyperbolic space Wikipedia