I'm looking for a criterion on symmetric, positive definite matrices $A$ which ensures the constant $M$ in the lower bound of the norm equivalence $M\|A\|_\infty \le \|A\|_2 \le \|A\|_\infty$ does not depend on the dimension of the matrix.
EDIT: I was thinking that it sufficient to constrain the eigenvalues of $A$, but so far I can't make this work.
So far, I have only a quite unsatisfying attempt based on matrix sensitivity: supposing $A = Id + \Delta$, the matrix $\Delta$ should have $\|\Delta\|_2 \le \frac M{\sqrt n}$. One can generalize a bit by taking any diagonal (positive definite) matrix (EDIT: with bounded eigenvalues) in the place of the identity, but I'd be interested in a more general criterion.
UPDATE: OK, something simple I missed: if an eigenvector of $A$ is $e = (1,...,1)$, then $$ \|A\|_\infty = \max_{\|v\|_\infty =1}\|Av\|_\infty = \|Ae\|_\infty = \lambda_{e}(A) \le \lambda_{max}(A) = \|A\|_2. $$ However, I need more generality than this.
UPDATE 2: Just an idea, not sure that it helps: what one needs is a constant $M$ independent of $n$ such that $$ \|A\|_\infty = \max_{i} \sum_{j=1}^n |a_{ij}| \le \frac {\|A\|_2}{M} $$ for all matrices in the class.