Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Short-length routes in low-cost networks via Poisson line patterns

Tools
- Tools
+ Tools

Aldous, D. J. (David J.) and Kendall, Wilfrid S.. (2008) Short-length routes in low-cost networks via Poisson line patterns. Advances in Applied Probability, Vol.40 (No.1). pp. 1-21. ISSN 0001-8678

[img]
Preview
PDF
WRAP_Kendall_AldousKendall-2007.pdf - Submitted Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (416Kb)
Official URL: http://dx.doi.org/10.1239/aap/1208358883

Abstract

In designing a network to link n points in a square of area n, we might be guided by the following two desiderata. First, the total network length should not be much greater than the length of the shortest network connecting all points. Second, the average route length (taken over source-destination pairs) should not be much greater than the average straight-line distance. How small can we make these two excesses? Speaking loosely, for a nondegenerate configuration, the total network length must be at least of order n and the average straight-line distance must be at least of order n(1/2), so it seems implausible that a single network might exist in which the excess over the first minimum is o(n) and the excess over the second minimum is o(n(1/2)). But in fact we can do better: for an arbitrary configuration, we can construct a network where the first excess is o(n) and the second excess is almost as small as O(log n). The construction is conceptually simple and uses stochastic methods: over the minimum-length connected network (Steiner tree) superimpose a sparse stationary and isotropic Poisson line process. Together with a few additions (required for technical reasons), the mean values of the excess for the resulting random network satisfy the above asymptotics; hence, a standard application of the probabilistic method guarantees the existence of deterministic networks as required (speaking constructively, such networks can be constructed using simple rejection sampling). The key ingredient is a new result about the Poisson line process. Consider two points a distance r apart, and delete from the line process all lines which separate these two points. The resulting pattern of lines partitions the plane into cells; the cell containing the two points has mean boundary length approximately equal to 2r + constant(logr). Turning to lower bounds, consider a sequence of networks in [0, root n](2) satisfying a weak equidistribution assumption. We show that if the first excess is O(n) then the second excess cannot be o(root log n).

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): System analysis, Poisson processes
Journal or Publication Title: Advances in Applied Probability
Publisher: Applied Probability Trust
ISSN: 0001-8678
Date: March 2008
Volume: Vol.40
Number: No.1
Number of Pages: 21
Page Range: pp. 1-21
Identification Number: 10.1239/aap/1208358883
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: National Science Foundation (U.S.) (NSF)
Grant number: DMS-0203062 (NSF)
References: Gastner, M. T. and M. E. J. Newman (2006). Shape and efficiency in spatial distribution networks. Journal of Statistical Mechanics: Theory and Experiment 2006(01), P01015. Hug, D., M. Reitzner, and R. Schneider (2004). The limit shape of the zero cell in a stationary Poisson hyperplane tessellation. Ann. Probab. 32(1B), 1140–1167. Kovalenko, I. (1997). A proof of a conjecture of David Kendall on the shape of random polygons of large area. Kibernet. Sistem. Anal. (4), 3–10, 187. English translation: Cybernet. Systems Anal. 33 461-467. Kovalenko, I. N. (1999). A simplified proof of a conjecture of D. G. Kendall concerning shapes of random polygons. J. Appl. Math. Stochastic Anal. 12(4), 301– 310. Lawler, G. F., O. Schramm, and W. Werner (2004). Conformal invariance of planar loop-erased random walks and uniform spanning trees. Ann. Probab. 32(1B), 939–995. Miles, R. E. (1995). A heuristic proof of a long-standing conjecture of D. G. Kendall concerning the shapes of certain large random polygons. Adv. Appl. Probab. 27(2), 397–417. Read, N. (2005). Minimum spanning trees and random resistor networks in d dimensions. Phys. Rev. E (3) 72(3), 036114, 17. Steele, J. M. (1997). Probability theory and combinatorial optimization, Volume 69 of CBMS-NSF Regional Conference Series in Applied Mathematics. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM). Stoyan, D., W. S. Kendall, and J. Mecke (1995). Stochastic geometry and its applications (Second ed.). Chichester: John Wiley & Sons. (First edition in 1987 joint with Akademie Verlag, Berlin). Yukich, J. E. (1998). Probability theory of classical Euclidean optimization problems, Volume 1675 of Lecture Notes in Mathematics. Berlin: Springer-Verlag.
URI: http://wrap.warwick.ac.uk/id/eprint/30042

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us