Let $A$ be a $3$ by $3$ symmetric matrix with trace being zero, that is, $a_{11}+a_{22}+a_{33}=0$. And let $\lambda_1\leq \lambda_2\leq \lambda_3$ be real eigenvalues of $A$.
We have $\lambda_1+ \lambda_2+ \lambda_3=0$. It is easy to see $\lambda_1\leq 0\leq \lambda_3$. $|\lambda_2|\leq |\lambda_1|$, $|\lambda_2|\leq |\lambda_3|$. I am wondering can we estimate $\lambda_2$, $|\lambda_2|$ or $\max(\lambda_2,0)$ by entries $a_{i,j}$ of $A$?
You might find the Cauchy interlacing theorem useful in this regard.
Let $B$ denote a $2 \times 2$ principal submatrix of $A$. For instance, we can take the leading principal submatrix $$ B = \pmatrix{a_{11} & a_{12}\\ a_{21} & a_{22}}. $$ Let $\mu_1 \leq \mu_2$ denote the eigenvalues of $B$. The interlacing theorem sates that we have $$ \lambda_1 \leq \mu_1 \leq \lambda_2 \leq \mu_2 \leq \lambda_3. $$ In other words, $\lambda_2$ lies between the eigenvalues of $B$. This leads to a nice inequality since the eigenvalues of a $2 \times 2$ matrix are easy to compute. In particular, $B$ has characteristic polynomial $x^2 - \operatorname{trace}(B)x + \det(B)$ so that $$ \mu_1 = \frac{\operatorname{trace}(B) - \sqrt{\operatorname{trace}(B)^2 - 4\det(B)}}{2},\\ \mu_2 = \frac{\operatorname{trace}(B) + \sqrt{\operatorname{trace}(B)^2 - 4\det(B)}}{2}. $$
This inequality becomes tight if we consider submatrices of the matrix $U^TAU$ for $3 \times 3$ orthogonal matrices $U$. That is, there necessarily exists a $U$ for which a submatrix $B$ of $U^TAU$ satisfies $\mu_1 = \lambda_2$, and there necessarily exists another $U$ for which a submatrix $B$ of $U^TAU$ satisfies $\mu_2 = \lambda_2$.