ACM Home Page
Please provide us with feedback. Feedback
Sparse source-wise and pair-wise distance preservers
Full text PdfPdf (1.03 MB)
Source Symposium on Discrete Algorithms archive
Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 7C table of contents
Pages: 660 - 669  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Don Coppersmith  IBM Research, Yorktown Heights, NY
Michael Elkin  Yale University, New Haven, CT
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 32,   Citation Count: 4
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

We introduce and study the notions of pair-wise and source-wise preservers.Given an undirected N-vertex graph G = (V, E) and a subset P of pairs of vertices, let G' = (V, H), H ⊆ E, be called a pair-wise preserver of G with respect to P if for every pair {u, w} ∈ P, distG' (u, w) = distG (u, w). For a set S ⊆ V of sources, a pair-wise preserver of G with respect to the set of all pairs P = (S/2) of sources is called a source-wise preserver of G with respect to S.We prove that for every undirected possibly weighted N-vertex graph G and every subset P of P = O(N1/2) pairs of vertices of G, there exists a linear-size pair-wise preserver of G with respect to P. Consequently, for every subset S ⊆ V of S = O(N1/4) sources, there exists a linear-size source-wise preserver of G with respect to S. On the negative side we show that neither of the two exponents (1/2 and 1/4) can be improved even when the attention is restricted to unweighted graphs.Our lower bounds involve constructions of dense convexly independent sets of vectors with small Euclidean norms. We believe that the link between the areas of Discrete Geometry and spanners that we establish is of independent interest, and might be useful in the study of other problems in the area of low-distortion embeddings.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
 
3
B. Awerbuch and D. Peleg. Network synchronization with polylogarithmic overhead. In Proc. 31st Symp. on Foundations of Computer Science, pages 514--522, 1990.
 
4
5
 
6
A. Balog and I. Barany. On the convex hull of the integer points in a disc. Discrete and Computational Geometry, 6:39--44, 1991.
 
7
I. Barany and D. G. Larman. The convex hull of the integer points in a large ball. Mathematische Annalen, (312):167--181, 1998.
 
8
 
9
S. Baswana and S. Sen. A simple linear time algorithm for computing a (2k -- 1)-spanner of o(n1+1/k) size in weighted graphs. In Proc. of the 30th International Colloq. on Automata, Languages and Computing, ICALP 2003, pages 284--296, 2003.
 
10
 
11
J. Bourgain. On Lipschitz embedding of finite metric space in Hilbert space. Israel J. Math, 56:46--52, 1985.
 
12
E. Cohen. Fast algorithms for constructing t-spanners and paths of stretch t. In Proc. 34th IEEE Symp. on Foundations of Computer Science, pages 648--658, 1993.
 
13
14
15
 
16
 
17
G. H. Hardy and E. M. Wright. An Introduction to the Theory of Numbers. Oxford University Press, 1979.
 
18
P. Indyk and J. Matousek. Low Distortion Embeddings of Finite Metric Spaces: Chapter 8 in CRC Handbook of Discrete and Computational Geometry. 2004.
 
19
V. Jarnik. Uber Gitterpunkte und konvex Kurven. Math. Z., 2:500--518, 1925.
 
20
W. Johnson and J. Lindenstrauss. Extensions of Lipschitz embeddings into a Hilbert space. Contempt. Math., 26:189--206, 1984.
 
21
 
22
 
23
D. Peleg. Proximity-preserving labeling schemes. Journal of Graph Theory, (33):167--176, 2000.
 
24
D. Peleg and A. Schäffer. Graph spanners. Journal of Graph Theory, 13:99--116, 1989.
25
 
26
27

Collaborative Colleagues:
Don Coppersmith: colleagues
Michael Elkin: colleagues