# Concentration inequality for function of independent bernoulli r.v.'s (related to random graph)

Consider a random undirected graph on a set of $n$ nodes, say $\{1,2,\ldots,n\}$, such that the probability of edge between nodes $i$ and $j$ is $p_{ij}$ (we may assume $p_{ij}=o(1)$ for all $i,j$, i.e., $p_{ij}\rightarrow 0$ as $n\rightarrow \infty$). We define Bernoulli r.v. $X_{ij}$ such that $X_{ij}=1$ iff edge $(i,j)$ exists. We also assume that $X_{ij}$'s are independent r.v.'s.

We consider a random instance of the graph and define $Z_d=$ number of nodes that are reachable from node 1 via paths with at most $d$ edges (we can assume $d=O(\log n)$). Then

$Z_d \leq H_d=\sum_{i\neq 1}X_{1i}+\sum_{i\neq 1}\sum_{j\neq 1}X_{1i}X_{ij}+\ldots$.

I wanted to know if it is possible to get a concentration inequality for $Z_d$, like

$P(Z_d>cE[H_d]\log n)\leq P(H_d>cE[H_d]\log n)\leq c'n^{-1}$,

where $c,c'$ are constants? ($\exp(-c''n)$ in place of $c'n^{-1}$ would be desirable)

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