  In this paper, we investigate the invertibility of sparse symmetric matrices.
We show that for an $n\times n$ sparse symmetric random matrix $A$ with $A_{ij}
= \delta_{ij} \xi_{ij}$ is invertible with high probability. Here,
$\delta_{ij}$s, $i\ge j$ are i.i.d. Bernoulli random variables with $\mathbb{P}
\left(\xi_{ij}=1 \right) =p \ge n^{-c}$, $\xi_{ij}, i\ge j$ are i.i.d. random
variables with mean 0, variance 1 and finite forth moment $M_4$, and $c$ is
constant depending on $M_4$. More precisely, $$ s_{\rm min} (A) > \varepsilon
\sqrt{\frac{p}{n}}. $$ with high probability.
