In this note, we investigate the tree-depth and tree-width in a heterogeneous random graph obtained by including each edge eij (i≠j) of a complete graph Kn over n vertices independently with probability pn(eij). When the sequence of edge probabilities satisfies some density assumptions, we show both tree-depth and tree-width are of linear size with high probability. Moreover, we extend the method to random weighted graphs with non-identical edge weights and capture the conditions under which with high probability the weighted tree-depth is bounded by a constant.
|Number of pages||6|
|Journal||Proceedings of the Japan Academy Series A: Mathematical Sciences|
|Early online date||11 Nov 2022|
|Publication status||Published - 11 Nov 2022|