Decomposition of Balanced Matrices. Part 4. Connected Squares

Abstract

There exist two complete bipartite graphs K1, K2 in G having disjoint node sets, with the property that the removal of the edges in K1, K2 disconnects G. There exists a subset S of the nodes of G with the property that the removal of S disconnects G, where S can be partitioned into three disjoint sets T,A,N such that T is not equal to 0 some nodes T is adjacent to every node and every node of T is adjacent to every node of A. A 0,1 matrix is balanced if it does not contain a square submatrix of odd order with two ones per row and per column. Balanced matrices are important in integer programming and combinatorial optimization since the associated set packing and set covering polytopes have integral vertices. To a 0,1 matrix A we associate a bipartite graph as follows: The node nets Vr and Vc represent the row set and the column set of A and edge ij belongs to E if and only if ay=1. Since a 0,1 matrix is balanced if and only if the associated bipartite graph does not contain a chordless cycle of length 4k+2, the above theorem provides a decomposition of balanced matrices into elementary matrices whose associated bipartite graphs have no cycle of length 4k + 2.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1991
Accession Number
ADA247308

Entities

People

  • Gérard Cornuéjols
  • M. R. Rao
  • Michele Conforti

Organizations

  • Carnegie Mellon University

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DTIC Thesaurus Topics

  • Classification
  • Computer Programming
  • Construction
  • Contracts
  • Coverings
  • Decomposition
  • Integer Programming
  • Integrals
  • Military Research
  • Neurobehavioral Manifestations
  • New York
  • Optimization
  • Parachutes
  • Students
  • Symmetry
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Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Linear Algebra