Many cliques in $H$-free subgraphs of random graphs
Noga Alon, Alexandr Kostochka, Clara Shikhelman

TL;DR
This paper investigates the maximum number of copies of a complete graph in $H$-free subgraphs of random graphs, revealing phase transitions depending on the relation between parameters and introducing a new graph construction.
Contribution
It characterizes the behavior of $ex(G(n,p),K_m,H)$ based on $m_2(H)$ and constructs new graphs with specific $m_2$ properties, advancing understanding of extremal subgraph counts.
Findings
Behavior changes at $p=n^{-1/m_2(H)}$ depending on $m_2(H)$ and $m_2(K_m)$
When $m_2(H)> m_2(K_m)$, high probability either preserves most $K_m$ or is $ ext{chi}(H)-1$ partite
New graph constructions for each $k \\geq 4$ with $m_2$ tending to a specific limit
Abstract
For two fixed graphs and let be the random variable counting the maximum number of copies of in an -free subgraph of the random graph . We show that for the case and the behavior of depends strongly on the relation between and . When we prove that with high probability, depending on the value of , either one can maintain almost all copies of , or it is asymptotically best to take a partite subgraph of . The transition between these two behaviors occurs at . When we show that the above cases still exist, however for small at one can typically still keep most of the copies of in an -free subgraph…
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