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A Relativized Alon Second Eigenvalue Conjecture for Regular Base Graphs IV: An Improved Sidestepping Theorem

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 نشر من قبل Joel Friedman
 تاريخ النشر 2019
  مجال البحث الهندسة المعلوماتية
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This is the fourth in a series of articles devoted to showing that a typical covering map of large degree to a fixed, regular graph has its new adjacency eigenvalues within the bound conjectured by Alon for random regular graphs. In this paper we prove a {em Sidestepping Theorem} that is more general and easier to use than earlier theorems of this kind. Such theorems concerns a family probability spaces ${{mathcal{M}}_n}$ of $ntimes n$ matrices, where $n$ varies over some infinite set, $N$, of natural numbers. Many trace methods use simple Markov bounds to bound the expected spectral radius of elements of ${mathcal{M}}_n$: this consists of choosing one value, $k=k(n)$, for each $nin N$, and proving expected spectral radius bounds based on the expected value of the trace of the $k=k(n)$-power of elements of ${mathcal{M}}_n$. {em Sidestepping} refers to bypassing such simple Markov bounds, obtaining improved results using a number of values of $k$ for each fixed $nin N$. In more detail, if the $Min {mathcal{M}}_n$ expected value of ${rm Trace}(M^k)$ has an asymptotic expansion in powers of $1/n$, whose coefficients are well behaved functions of $k$, then one can get improved bounds on the spectral radius of elements of ${mathcal{M}}_n$ that hold with high probability. Such asymptotic expansions are shown to exist in the third article in this series for the families of matrices that interest us; in the fifth and sixth article in this series we will apply the Sidestepping Theorem in this article to prove the main results in this series of articles. This article is independent of all other articles in this series; it can be viewed as a theorem purely in probability theory, concerning random matrices or, equivalently, the $n$ random variables that are the eigenvalues of the elements of ${mathcal{M}}_n$.



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This is the fifth in a series of articles devoted to showing that a typical covering map of large degree to a fixed, regular graph has its new adjacency eigenvalues within the bound conjectured by Alon for random regular graphs. In this article we use the results of Articles~III and IV in this series to prove that if the base graph is regular, then as the degree, $n$, of the covering map tends to infinity, some new adjacency eigenvalue has absolute value outside the Alon bound with probability bounded by $O(1/n)$. In addition, we give upper and lower bounds on this probability that are tight to within a multiplicative constant times the degree of the covering map. These bounds depend on two positive integers, the emph{algebraic power} (which can also be $+infty$) and the emph{tangle power} of the model of random covering map. We conjecture that the algebraic power of the models we study is always $+infty$, and in Article~VI we prove this when the base graph is regular and emph{Ramanujan}. When the algebraic power of the model is $+infty$, then the results in this article imply stronger results, such as (1) the upper and lower bounds mentioned above are matching to within a multiplicative constant, and (2) with probability smaller than any negative power of the degree, the some new eigenvalue fails to be within the Alon bound only if the covering map contains one of finitely many tangles as a subgraph (and this event has low probability).
This is the sixth in a series of articles devoted to showing that a typical covering map of large degree to a fixed, regular graph has its new adjacency eigenvalues within the bound conjectured by Alon for random regular graphs. In this article we show that if the fixed graph is regular Ramanujan, then the {em algebraic power} of the model of random covering graphs is $+infty$. This implies a number of interesting results, such as (1) one obtains the upper and lower bounds---matching to within a multiplicative constant---for the probability that a random covering map has some new adjacency eigenvalue outside the Alon bound, and (2) with probability smaller than any negative power of the degree of the covering map, some new eigenvalue fails to be within the Alon bound without the covering map containing one of finitely many tangles as a subgraph (and this tangle containment event has low probability).
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