TY - JOUR
T1 - The strong chromatic index of random graphs
AU - Frieze, Alan
AU - Krivelevich, Michael
AU - Sudakov, Benny
PY - 2005
Y1 - 2005
N2 - The strong chromatic index of a graph G, denoted by χ s(G), is the minimum number of colors needed to color its edges so that each color class is an induced matching. In this paper we analyze the asymptotic behavior of this parameter in a random graph G(n, p), for two regions of the edge probability p = p(n). For the dense case, where p is a constant, 0 < p < 1, we prove that with high probability χ s(G) ≤ (1 + o(1))3/4 n 2p/log b n, where 6 = 1/(1 - p). This improves upon a result of Czygrinow and Nagle [Discrete Math., 281 (2004), pp. 129-136]. For the sparse case, where np < 1/100 √log n/log log n, we show that with high probability χ s(G) = Δ 1(G), where Δ 1(G) = max{d(u) + d(v) - 1 : (u, v) ∈ E(G)}. This improves a result of Palka [Australas. J. Combin., 18 (1998), pp. 219-226].
AB - The strong chromatic index of a graph G, denoted by χ s(G), is the minimum number of colors needed to color its edges so that each color class is an induced matching. In this paper we analyze the asymptotic behavior of this parameter in a random graph G(n, p), for two regions of the edge probability p = p(n). For the dense case, where p is a constant, 0 < p < 1, we prove that with high probability χ s(G) ≤ (1 + o(1))3/4 n 2p/log b n, where 6 = 1/(1 - p). This improves upon a result of Czygrinow and Nagle [Discrete Math., 281 (2004), pp. 129-136]. For the sparse case, where np < 1/100 √log n/log log n, we show that with high probability χ s(G) = Δ 1(G), where Δ 1(G) = max{d(u) + d(v) - 1 : (u, v) ∈ E(G)}. This improves a result of Palka [Australas. J. Combin., 18 (1998), pp. 219-226].
KW - Random graphs
KW - Strong chromatic index
UR - https://www.scopus.com/pages/publications/33747188408
U2 - 10.1137/S0895480104445757
DO - 10.1137/S0895480104445757
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AN - SCOPUS:33747188408
SN - 0895-4801
VL - 19
SP - 719
EP - 727
JO - SIAM Journal on Discrete Mathematics
JF - SIAM Journal on Discrete Mathematics
IS - 3
ER -