High dimensional expanders (HDXs) are a hypergraph generalization of expander graphs. They are extensively studied in the math and TCS communities due to their many applications. Like expander graphs, HDXs are especially interesting for applications when they are bounded degree, namely, if the number of edges adjacent to every vertex is bounded. However, only a handful of constructions are known to have this property, all of which rely on algebraic techniques. In particular, no random or combinatorial construction of bounded degree HDXs is known. As a result, our understanding of these objects is limited. The degree of an $i$-face in an HDX is the number of $(i+1)$-faces containing it. In this work we construct HDXs whose higher dimensional faces have bounded degree. This is done by giving an elementary and deterministic algorithm that takes as input a regular $k$-dimensional HDX $X$ and outputs another $k$-dimensional HDX $\widehat{X}$ with twice as many vertices. While the degree of vertices in $\widehat{X}$ grows, the degree of the $(k-1)$-faces in $\widehat{X}$ stays the same. As a result, we obtain a new `algebra-free' construction of HDXs whose $(k-1)$-face degree is bounded. Our algorithm is based on a simple and natural generalization of the construction by Bilu and Linial (Combinatorica, 2006), which build expanders using lifts coming from edge signings. Our construction is based on local lifts of HDXs, where a local lift is a complex whose top-level links are lifts of links in the original complex. We demonstrate that a local lift of an HDX is an HDX in many cases. In addition, combining local lifts with existing bounded degree constructions creates new families of bounded degree HDXs with significantly different links than before. For every large enough $D$, we use this technique to construct families of bounded degree HDXs with links that have diameter $\geq D$.

The Zig-Zag product of two graphs,$Z= G\bigcirc{\!\!\!\!\!\! \mathrm{z}}\ H$, was introduced in the seminal work of Reingold, Vadhan, and Wigderson (Ann. of Math. 2002) and has since become a pivotal tool in theoretical computer science. The classical bound, which is used throughout, states that the spectral expansion of the Zig-Zag product can be bounded roughly by the sum of the spectral expansions of the individual graphs,$\omega z\leq\omega_{H}+\omega_{G}$. In this work we derive, for every (vertex-transitive) c-regular graph$H$on$d$vertices, a tight bound for$\omega z$by taking into account the entire spectrum of$H$. Our work reveals that the bound, which holds for every graph$G$, is precisely the minimum value of the function \begin{equation*}\frac{x}{c^2} \cdot \sqrt{1-\frac{d \cdot h(x)}{x \cdot h^{\prime}(x)}}\end{equation*} in the domain$(c^{2},\ \infty)$, where$h(x)$is the characteristic polynomial of$H^{2}$. As a consequence, we establish that Zig-Zag products are indeed intrinsically quadratic away from being Ramanujan. We further prove tight bounds for the spectral ex-pansion of the more fundamental replacement product. Our lower bounds are based on results from analytic combinatorics, and we make use of finite free probability to prove their tightness. In a broader context, our work uncovers intriguing links between the two fields and these well-studied graph operators.

Random walks on expanders are a powerful tool which found applications in many areas of theoretical computer science, and beyond. However, they come with an inherent cost – the spectral expansion of the corresponding power graph deteriorates at a rate that is exponential in the length of the walk. As an example, when G is a d-regular Ramanujan graph, the power graph Gt has spectral expansion 2Ω(t) √D, where D = dt is the regularity of Gt, thus, Gt is 2Ω(t) away from being Ramanujan. This exponential blowup manifests itself in many applications.

Flash memory is a write-once medium in which re-programming cells requires first erasing the block that contains them. The lifetime of the flash is a function of the number of block erasures and can be as small as several thousands. To reduce the number of block erasures, pages, which are the smallest write unit, are rewritten out-of-place in the memory. A Write-once memory (WOM) code is a coding scheme which enables to write multiple times to the block before an erasure. However, these codes come with significant rate loss. For example, the rate for writing twice (with the same rate) is at most 0.77. In this paper, we study WOM codes and their tradeoff between rate loss and reduction in the number of block erasures, when pages are written uniformly at random. First, we introduce a new measure, called erasure factor, that reflects both the number of block erasures and the amount of data that can be written on each block. A key point in our analysis is that this tradeoff depends upon the specific implementation of WOM codes in the memory. We consider two systems that use WOM codes; a conventional scheme that was commonly used, and a new recent design that preserves the overall storage capacity. While the first system can improve the erasure factor only when the storage rate is at most 0.6442, we show that the second scheme always improves this figure of merit.