Jump to content

Busemann function

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Yobot (talk | contribs) at 05:47, 1 July 2016 (WP:CHECKWIKI error fixes using AWB (12041)). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Busemann functions were introduced by Busemann to study the large-scale geometry of metric spaces in his seminal The Geometry of Geodesics.[1] More recently, Busemann functions have been used by probabilists to study asymptotic properties in models of first-passage percolation[2][3] and directed last-passage percolation.[4]

Definition

Let be a metric space. A ray is a path which minimizes distance everywhere along its length. i.e., for all ,

.

Equivalently, a ray is an isometry from the "canonical ray" (the set equipped with the Euclidean metric) into the metric space X.

Given a ray γ, the Busemann function is defined by

That is, when t is very large, the distance is approximately equal to . Given a ray γ, its Busemann function is always well-defined.[citation needed]

Loosely speaking, a Busemann function can be thought of as a "distance to infinity" along the ray γ.[citation needed]

References

  1. ^ Busemann, Herbert. The geometry of geodesics. Vol. 6. DoverPublications. com, 1985.
  2. ^ Hoffman, Christopher. "Coexistence for Richardson type competing spatial growth models." The Annals of Applied Probability 15.1B (2005): 739-747.
  3. ^ Damron, Michael, and Jack Hanson. "Busemann functions and infinite geodesics in two-dimensional first-passage percolation." arXiv preprint arXiv:1209.3036 (2012)
  4. ^ Nicos Georgiou, Firas Rassoul-Agha, and Timo Seppäläinen. "Geodesics and the competition interface for the corner growth model." arXiv preprint arXiv:1510.00860 (2015)