A simple proof of the Gross‐Saccoman multigraph conjecture. Issue 3 (1st June 2022)
- Record Type:
- Journal Article
- Title:
- A simple proof of the Gross‐Saccoman multigraph conjecture. Issue 3 (1st June 2022)
- Main Title:
- A simple proof of the Gross‐Saccoman multigraph conjecture
- Authors:
- Martínez, Mauro
Romero, Pablo
Viera, Julián - Abstract:
- Abstract: An enigmatic conjecture in network synthesis asserts that uniformly most reliable multigraphs are simple. Daniel Gross and John Saccoman proved in 1998 that the answer is affirmative whenever m ≤ n + 2 $$ m\le n+2 $$, where n $$ n $$ and m $$ m $$ are the number of nodes and edges of the multigraphs, respectively. They conjectured that the optimality is also achieved by simple graphs when m = n + 3 $$ m=n+3 $$ . A proof for this conjecture recently appeared. In this article we provide a unified short proof for the previous cases where m ≤ n + 3 $$ m\le n+3 $$ . Our proof strategy holds whenever the most reliable simple graphs satisfy the self‐similarity property. As a consequence, it could be used to study the multigraph conjecture for larger graph classes.
- Is Part Of:
- Networks. Volume 80:Issue 3(2022)
- Journal:
- Networks
- Issue:
- Volume 80:Issue 3(2022)
- Issue Display:
- Volume 80, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 80
- Issue:
- 3
- Issue Sort Value:
- 2022-0080-0003-0000
- Page Start:
- 333
- Page End:
- 337
- Publication Date:
- 2022-06-01
- Subjects:
- graph theory -- Gross‐Saccoman multigraph conjecture -- multigraph -- network reliability -- self‐similarity property -- uniformly most reliable graph
Network analysis (Planning) -- Periodicals
658.4032 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0037 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/net.22110 ↗
- Languages:
- English
- ISSNs:
- 0028-3045
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6077.205000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23425.xml