9 research outputs found
Enumeration of 0/1-matrices avoiding some 2x2 matrices
We enumerate the number of 0/1-matrices avoiding 2x2 submatrices satisfying
certain conditions. We also provide corresponding exponential generating
functions.Comment: 14 pages, 3 figures; Some references and related works are added in
v
Supermodularity on chains and complexity of maximum constraint satisfaction
In the maximum constraint satisfaction problem (), one is given a finite collection of (possibly weighted) constraints on overlapping sets of variables, and the goal is to assign values from a given finite domain to the variables so as to maximise the number (or the total weight) of satisfied constraints. This problem is -hard in general so it is natural to study how restricting the allowed types of constraints affects the complexity of the problem. In this paper, we show that any problem with a finite set of allowed constraint types, which includes all constants (i.e. constraints of the form ), is either solvable in polynomial time or is -complete. Moreover, we present a simple description of all polynomial-time solvable cases of our problem. This description uses the well-known combinatorial property of supermodularity
Large homogeneous submatrices
A matrix is homogeneous if all of its entries are equal. Let be a
zero-one matrix that is not homogeneous. We prove that if an
zero-one matrix does not contain as a submatrix, then
has an homogeneous submatrix for a suitable constant . We
further provide an almost complete characterization of the matrices
(missing only finitely many cases) such that forbidding in guarantees
an homogeneous submatrix. We apply our results to
chordal bipartite graphs, totally balanced matrices, halfplane-arrangements and
string graphs.Comment: 20 pages, 1 figure, moved Theorem 1.6 to introduction, added its
proof + a new application of Theorem 1.
Large homogeneous submatrices
A matrix is homogeneous if all of its entries are equal. Let P be a 2 × 2 zero-one matrix that is not homogeneous. We prove that if an n × n zero-one matrix A does not contain P as a submatrix, then A has a cn × cn homogeneous submatrix for a suitable constant c > 0. We further provide an almost complete characterization of the matrices P (missing only finitely many cases) such that forbidding P in A guarantees an n1 - o(1) × n1 - o(1) homogeneous submatrix. We apply our results to chordal bipartite graphs, totally balanced matrices, halfplane arrangements, and string graphs. © 2020 author
Permuting matrices to avoid forbidden submatrices
This paper attaches a frame to a natural class of combinatorial problems and points out that this class includes many important special cases. A matrix M is said to avoid a set of matrices if M does not contain any element of as (ordered) submatrix. For a fixed set of matrices, we consider the problem of deciding whether the rows and columns of a matrix can be permuted in such a way that the resulting matrix M avoids all matrices in . We survey several known and new results on the algorithmic complexity of this problem, mostly dealing with (0,1)-matrices. Among others, we will prove that the problem is polynomial time solvable for many sets containing a single, small matrix and we will exhibit some example sets for which the problem is NP-complete