Injective metric space
In metric geometry, an injective metric space, or equivalently a hyperconvex metric space, is a metric space with certain properties generalizing those of the real line and of L∞ distances in higher-dimensional vector spaces. These properties can be defined in two seemingly different ways: hyperconvexity involves the intersection properties of closed balls in the space, while injectivity involves the isometric embeddings of the space into larger spaces. However it is a theorem of Aronszajn & Panitchpakdi (1956) that these two different types of definitions are equivalent.[1]
Hyperconvexity
[edit]A metric space is said to be hyperconvex if it is convex and its closed balls have the binary Helly property. That is:
- Any two points and can be connected by the isometric image of a line segment of length equal to the distance between the points (i.e. is a path space).
- If is any family of closed balls such that each pair of balls in meets, then there exists a point common to all the balls in .
Equivalently, a metric space is hyperconvex if, for any set of points in and radii satisfying for each and , there is a point in that is within distance of each (that is, for all ).
Injectivity
[edit]A retraction of a metric space is a function mapping to a subspace of itself, such that
- for all we have that ; that is, is the identity function on its image (i.e. it is idempotent), and
- for all we have that ; that is, is nonexpansive.
A retract of a space is a subspace of that is an image of a retraction. A metric space is said to be injective if, whenever is isometric to a subspace of a space , that subspace is a retract of .
Examples
[edit]Examples of hyperconvex metric spaces include
- The real line
- with the ∞ distance
- Manhattan distance (L1) in the plane (which is equivalent up to rotation and scaling to the L∞), but not in higher dimensions
- The tight span of a metric space
- Any complete real tree
- – see Metric space aimed at its subspace
Due to the equivalence between hyperconvexity and injectivity, these spaces are all also injective.
Properties
[edit]In an injective space, the radius of the minimum ball that contains any set is equal to half the diameter of . This follows since the balls of radius half the diameter, centered at the points of , intersect pairwise and therefore by hyperconvexity have a common intersection; a ball of radius half the diameter centered at a point of this common intersection contains all of . Thus, injective spaces satisfy a particularly strong form of Jung's theorem.
Every injective space is a complete space,[2] and every metric map (or, equivalently, nonexpansive mapping, or short map) on a bounded injective space has a fixed point.[3] A metric space is injective if and only if it is an injective object in the category of metric spaces and metric maps.[4]
Notes
[edit]- ^ See e.g. Chepoi 1997.
- ^ Aronszajn & Panitchpakdi 1956.
- ^ Sine 1979; Soardi 1979.
- ^ For additional properties of injective spaces see Espínola & Khamsi 2001.
References
[edit]- Aronszajn, N.; Panitchpakdi, P. (1956). "Extensions of uniformly continuous transformations and hyperconvex metric spaces". Pacific Journal of Mathematics. 6: 405–439. doi:10.2140/pjm.1956.6.405. MR 0084762. Correction (1957), Pacific J. Math. 7: 1729, MR0092146.
- Chepoi, Victor (1997). "A TX approach to some results on cuts and metrics". Advances in Applied Mathematics. 19 (4): 453–470. doi:10.1006/aama.1997.0549. MR 1479014.
- Espínola, R.; Khamsi, M. A. (2001). "Introduction to hyperconvex spaces" (PDF). In Kirk, W. A.; Sims B. (eds.). Handbook of Metric Fixed Point Theory. Dordrecht: Kluwer Academic Publishers. MR 1904284.
- Isbell, J. R. (1964). "Six theorems about injective metric spaces". Commentarii Mathematici Helvetici. 39: 65–76. doi:10.1007/BF02566944. MR 0182949.
- Sine, R. C. (1979). "On nonlinear contraction semigroups in sup norm spaces". Nonlinear Analysis. 3 (6): 885–890. doi:10.1016/0362-546X(79)90055-5. MR 0548959.
- Soardi, P. (1979). "Existence of fixed points of nonexpansive mappings in certain Banach lattices". Proceedings of the American Mathematical Society. 73 (1): 25–29. doi:10.2307/2042874. JSTOR 2042874. MR 0512051.