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Discrete fixed-point theorem

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In discrete mathematics, a discrete fixed-point theorem is a fixed-point theorem for functions defined on finite sets, typically subsets of the integer grid .

Discrete fixed-point theorems were developed by Iimura,[1] Murota and Tamura,[2] Yang,[3] Chen and Deng[4] and others.

Basic concepts

Continuous fixed-point theorems often require a continuous function. Since continuity is not meaningful for functions on discrete sets, it is replaced by conditions such as a direction-preserving function. Such conditions imply that the function does not change too drastically when moving between neighboring points of the integer grid.

Continuous fixed-point theorems often require a convex set. The analogue of this property for discrete sets is an integrally-convex set.

For functions on finite sets

Given a set X in , we denote by ch(X) its convex hull, which is a subset of .

Iimura-Murota-Tamura theorem:[2] Let X be a finite integrally-convex subset of . Let f: X → ch(X) be a hypercubic direction-preserving (HDP) function. Then f has a fixed-point in X.

Chen-Deng theorem:[4] Let X be a finite set contained in . Let f: X → ch(X) be a simplicially direction-preserving (SDP) function. Then f has a fixed-point in X.

For discontinuous functions on infinite sets

Discrete fixed-point theorems are closely related to fixed-point theorems on discontinuous functions. These, too, use the direction-preservation condition instead of continuity.

Herings-Laan-Talman-Yang fixed-point theorem:[5] Let X be a non-empty polytope in . Let f: XX be a locally gross direction preserving (LGDP) function: at any point x that is not a fixed point of f, the direction of is grossly preserved in some neighborhood of x, in the sense that for any two points y, z in this neighborhood, its inner product is non-negative, i.e.: . Note that every continuous function is LGDP, but an LGDP function may be discontinuous. An LGDP function may even be neither upper nor lower semi-continuous. Then f has a fixed point in X. Moreover, there is a constructive algorithm for approximating this fixed point.

See also

References

  1. ^ Iimura, Takuya (2003-09-01). "A discrete fixed point theorem and its applications". Journal of Mathematical Economics. 39 (7): 725–742. doi:10.1016/S0304-4068(03)00007-7. ISSN 0304-4068.
  2. ^ a b Iimura, Takuya; Murota, Kazuo; Tamura, Akihisa (2005-12-01). "Discrete fixed point theorem reconsidered". Journal of Mathematical Economics. 41 (8): 1030–1036. doi:10.1016/j.jmateco.2005.03.001. ISSN 0304-4068.
  3. ^ Yang, Zaifu (2009-12-01) [2004 (FBA working paper no. 210, Yokohama National University)]. "Discrete fixed point analysis and its applications". Journal of Fixed Point Theory and Applications. 6 (2): 351–371. doi:10.1007/s11784-009-0130-9. ISSN 1661-7746.
  4. ^ a b Chen, Xi; Deng, Xiaotie (2006). Chen, Danny Z.; Lee, D. T. (eds.). "A Simplicial Approach for Discrete Fixed Point Theorems". Computing and Combinatorics. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer: 3–12. doi:10.1007/11809678_3. ISBN 978-3-540-36926-4.
  5. ^ Jean-Jacques Herings, P.; van der Laan, Gerard; Talman, Dolf; Yang, Zaifu (2008-01-01). "A fixed point theorem for discontinuous functions". Operations Research Letters. 36 (1): 89–93. doi:10.1016/j.orl.2007.03.008. ISSN 0167-6377.