The Ramanujan graphs are optimal from the Alon-Bopanna point of view but..
Is there any sense in which one can call Ramanujan graphs to be the "optimal" spectral sparsifiers? (Reference : http://arxiv.org/pdf/0808.0163v3.pdf )
(..At least w.r.t $K_n$ can one say that given any $d$ and $n$, any $d-$regular Ramanujan graph on $n$ vertices, say $R_{(d,n)}$, gives the smallest $a$ s.t $x^T L_{K_{n}}x \leq \frac{n}{d} x^TL_{R_{(d,n)}}x \leq a x^TL_{K_{n} }x , \forall x \in \mathbb{R}^n$?..or some such similar inequality?.. )
Does the usual Cheeger's inequality become sharper if restricted to Ramanujan graphs? Or do we otherwise know of graphs which either saturate the Cheeger's inequality and/or maximize any of the combinatorial notions of expansion?
The only kind of connection I know of between the spectral gap of an expander to its combinatorial expansion are statements like Theorem 4 and 6 here in these notes, http://www.math.rutgers.edu/~sk1233/courses/graphtheory-F11/expander1.pdf. But even this is a lower bound and not an upperbound. One can put in $\lambda = 2\sqrt{d-1}$ in these two theorems but that somehow looks too weak and naive.
I wonder if something sharper can be said about the combinatorial expansion properties of a Ramanujan expander : may be some sense in which one can justify calling them optimal from this point of view too?
Lets say we use the definition of Ramanujan graph as those $d-$regular graphs all of whose adjacency eigenvalues are of magnitude $\leq 2\sqrt{d-1}$ except the largest and the smallest.
For Cheeger's Inequality lets use the form as in these notes, http://www.eecs.berkeley.edu/~luca/books/expanders.pdf, i.e for a $d-$regular graph,
$$ \frac { \lambda_{1+min}(I - \frac{1}{d}A )}{2 } \leq \phi(G) = min _{ S \subset V, \vert S \vert \leq \frac{\vert V \vert}{2} } \frac {\vert \partial S \vert }{d \vert S \vert } \leq \sqrt {2\lambda_{1+min}(I - \frac{1}{d}A )}$$