1998
DOI: 10.1016/s0012-365x(97)00242-2
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Parity dimension for graphs

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Cited by 16 publications
(9 citation statements)
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“…In this section, we will show that the expected value of the solvability number s(G) is of order 4 n for a random graph in G(n, 1 2 ) (i.e., each edge is inserted with probability 1 2 ), so that the "typical" value of s(G) is pretty close to its maximum. In particular, the following theorem holds:…”
Section: Random Graphsmentioning
confidence: 99%
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“…In this section, we will show that the expected value of the solvability number s(G) is of order 4 n for a random graph in G(n, 1 2 ) (i.e., each edge is inserted with probability 1 2 ), so that the "typical" value of s(G) is pretty close to its maximum. In particular, the following theorem holds:…”
Section: Random Graphsmentioning
confidence: 99%
“…The proof of this theorem essentially follows the approach of Amin, Clark and Slater [1]. First of all, fix a vector a ∈ {0, 1} n , and let A denote the (random) adjacency matrix of G. Note that the number of solutions of the matrix equation (A + diag(a))x = 0 over F 2 is exactly X = 2 n−rk(A+diag(a)) .…”
Section: Random Graphsmentioning
confidence: 99%
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“…An odd dominating set of a simple, undirected graph G = (V, E) is a set of vertices D ⊆ V such that |N [v] ∩ D| ≡ 1 mod 2 for all vertices v ∈ V , where N [v] denotes the closed neighborhood of v. Odd dominating sets and the analogously defined even dominating sets have received considerable attention in the literature, see [1,3,2,4,5,6,7,8,9,10,11,12,14]. Sutner proved that every graph contains at least one odd dominating set [14] and other proofs of this can be found in [4,8].…”
Section: Introductionmentioning
confidence: 99%