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Explicit separations between randomized and deterministic Number-on-Forehead communication 明确区分随机化和确定性数字-前额通信
Pub Date : 2023-08-23 DOI: 10.48550/arXiv.2308.12451
Zander Kelley, Shachar Lovett, R. Meka
We study the power of randomness in the Number-on-Forehead (NOF) model in communication complexity. We construct an explicit 3-player function $f:[N]^3 to {0,1}$, such that: (i) there exist a randomized NOF protocol computing it that sends a constant number of bits; but (ii) any deterministic or nondeterministic NOF protocol computing it requires sending about $(log N)^{1/3}$ many bits. This exponentially improves upon the previously best-known such separation. At the core of our proof is an extension of a recent result of the first and third authors on sets of integers without 3-term arithmetic progressions into a non-arithmetic setting.
我们研究了随机数-额(NOF)模型在通信复杂度方面的随机性的作用。我们构造了一个明确的3-玩家函数$f:[N]^3 到{0,1}$,这样:(i)存在一个随机的NOF协议,计算它发送恒定数量的比特;但(ii)任何确定性或非确定性的NOF协议计算都需要发送大约$(log N)^{1/3}$许多位。这大大改进了以前最著名的这种分离。我们证明的核心是将第一和第三作者最近关于无3项等差数列的整数集的结果推广到非等差集合。
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引用次数: 2
Agreement theorems for high dimensional expanders in the small soundness regime: the role of covers 小稳健性区域中高维展开机的一致定理:盖的作用
Pub Date : 2023-08-18 DOI: 10.48550/arXiv.2308.09582
Yotam Dikstein, Irit Dinur
Given a family $X$ of subsets of $[n]$ and an ensemble of local functions ${f_s:stoSigma; | ; sin X}$, an agreement test is a randomized property tester that is supposed to test whether there is some global function $G:[n]toSigma$ such that $f_s=G|_s$ for many sets $s$. A"classical"small-soundness agreement theorem is a list-decoding $(LD)$ statement, saying that [tag{$LD$} Agree({f_s})>varepsilon quad Longrightarrow quad exists G^1,dots, G^ell,quad P_s[f_soverset{0.99}{approx}G^i|_s]geq poly(varepsilon),;i=1,dots,ell. ] Such a statement is motivated by PCP questions and has been shown in the case where $X=binom{[n]}k$, or where $X$ is a collection of low dimensional subspaces of a vector space. In this work we study small the case of on high dimensional expanders $X$. It has been an open challenge to analyze their small soundness behavior. Surprisingly, the small soundness behavior turns out to be governed by the topological covers of $X$.We show that: 1. If $X$ has no connected covers, then $(LD)$ holds, provided that $X$ satisfies an additional expansion property. 2. If $X$ has a connected cover, then $(LD)$ necessarily fails. 3. If $X$ has a connected cover (and assuming the additional expansion property), we replace the $(LD)$ by a weaker statement we call lift-decoding: [ tag{$LFD$} Agree({f_s})>varepsilon Longrightarrow quad existstext{ cover }rho:Ytwoheadrightarrow X,text{ and }G:Y(0)toSigma,text{ such that }] [P_{{tilde stwoheadrightarrow s}}[f_s overset{0.99}{approx} G|_{tilde s}] geq poly(varepsilon),] where ${tilde stwoheadrightarrow s}$ means that $rho(tilde s)=s$. The additional expansion property is cosystolic expansion of a complex derived from $X$ holds for the spherical building and for quotients of the Bruhat-Tits building.
给定一个$[n]$的子集族$X$和一个局部函数集合${f_s:stoSigma; | ; sin X}$,一致性测试是一个随机属性测试器,用来测试是否存在一些全局函数$G:[n]toSigma$,使得$f_s=G|_s$对于许多集合$s$。一个“经典的”小完备性一致定理是一个列表解码$(LD)$语句,它说[tag{$LD$} Agree({f_s})>varepsilon quad Longrightarrow quad exists G^1,dots, G^ell,quad P_s[f_soverset{0.99}{approx}G^i|_s]geq poly(varepsilon),;i=1,dots,ell. ]这样的语句是由PCP问题激发的,并且在$X=binom{[n]}k$或$X$是向量空间的低维子空间集合的情况下得到了证明。在这项工作中,我们研究了小的情况下,高维膨胀$X$。分析它们的小健康行为一直是一个公开的挑战。令人惊讶的是,小稳健性行为被证明是由$X$的拓扑覆盖所控制的。如果$X$没有连接的盖,则$(LD)$成立,前提是$X$满足一个附加的展开属性。2. 如果$X$有一个连接的封面,那么$(LD)$必然失败。3.如果$X$有一个连接的覆盖(并假设有额外的扩展属性),我们用一个更弱的语句来替换$(LD)$,我们称之为提升解码:[ tag{$LFD$} Agree({f_s})>varepsilon Longrightarrow quad existstext{ cover }rho:Ytwoheadrightarrow X,text{ and }G:Y(0)toSigma,text{ such that }][P_{{tilde stwoheadrightarrow s}}[f_s overset{0.99}{approx} G|_{tilde s}] geq poly(varepsilon),],其中${tilde stwoheadrightarrow s}$表示$rho(tilde s)=s$。附加的膨胀特性是由$X$衍生的综合体的收缩膨胀,适用于球形建筑和Bruhat-Tits建筑的商数。
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引用次数: 1
Classes of Hard Formulas for QBF Resolution 求解QBF的硬公式类
Pub Date : 2023-08-14 DOI: 10.4230/LIPIcs.SAT.2022.5
Agnes Schleitzer, Olaf Beyersdorff
To date, we know only a few handcrafted quantified Boolean formulas (QBFs) that are hard for central QBF resolution systems such as Q-Res and QU-Res, and only one specific QBF family to separate Q-Res and QU-Res.Here we provide a general method to construct hard formulas for Q-Res and QU-Res. The construction uses simple propositional formulas (e.g. minimally unsatisfiable formulas) in combination with easy QBF gadgets (Σb2 formulas without constant winning strategies). This leads to a host of new hard formulas, including new classes of hard random QBFs.We further present generic constructions for formulas separating Q-Res and QU-Res, and for separating Q-Res and LD-Q-Res.
到目前为止,我们只知道一些手工制作的量化布尔公式(QBF),这些公式很难用于Q-Res和Q-Res等中央QBF分解系统,并且只有一个特定的QBF家族来分离Q-Res和Q-Res。本文给出了构造Q-Res和Q-Res硬公式的一般方法。结构使用简单的命题公式(例如,最小不满意公式)与简单的QBF小工具(Σb2公式没有恒定的获胜策略)相结合。这导致了一系列新的硬公式,包括硬随机qbf的新类别。我们进一步给出了Q-Res和Q-Res以及Q-Res和LD-Q-Res分离公式的一般结构。
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引用次数: 0
Effective Bounds for Restricted 3-Arithmetic Progressions in Fpn Fpn中受限3等差数列的有效界
Pub Date : 2023-08-12 DOI: 10.48550/arXiv.2308.06600
Amey Bhangale, Subhash Khot, Dor Minzer
For a prime $p$, a restricted arithmetic progression in $mathbb{F}_p^n$ is a triplet of vectors $x, x+a, x+2a$ in which the common difference $a$ is a non-zero element from ${0,1,2}^n$. What is the size of the largest $Asubseteq mathbb{F}_p^n$ that is free of restricted arithmetic progressions? We show that the density of any such set is at most $frac{C}{(logloglog n)^c}$, where $c,C>0$ depend only on $p$, giving the first reasonable bounds for the density of such sets. Previously, the best known bound was $O(1/log^{*} n)$, which follows from the density Hales-Jewett theorem.
对于质数$p$, $mathbb{F}_p^n$中的限制等差数列是一个向量的三元组$x, x+a, x+2a$,其中的公差$a$是${0,1,2}^n$中的一个非零元素。没有限制等差数列的最大的$Asubseteq mathbb{F}_p^n$的大小是多少?我们证明了任何这样的集合的密度不超过$frac{C}{(logloglog n)^c}$,其中$c,C>0$只依赖于$p$,给出了这样的集合的密度的第一个合理界限。在此之前,最著名的界是$O(1/log^{*} n)$,它由密度Hales-Jewett定理推导而来。
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引用次数: 0
Space-bounded quantum state testing via space-efficient quantum singular value transformation 基于空间高效量子奇异值变换的空间有界量子态测试
Pub Date : 2023-08-09 DOI: 10.48550/arXiv.2308.05079
Franccois Le Gall, Yupan Liu, Qisheng Wang
Driven by exploring the power of quantum computation with a limited number of qubits, we present a novel complete characterization for space-bounded quantum computation, which encompasses settings with one-sided error (unitary coRQL) and two-sided error (BQL), approached from a quantum state testing perspective: - The first family of natural complete problems for unitary coRQL, i.e., space-bounded quantum state certification for trace distance and Hilbert-Schmidt distance; - A new family of natural complete problems for BQL, i.e., space-bounded quantum state testing for trace distance, Hilbert-Schmidt distance, and quantum entropy difference. In the space-bounded quantum state testing problem, we consider two logarithmic-qubit quantum circuits (devices) denoted as $Q_0$ and $Q_1$, which prepare quantum states $rho_0$ and $rho_1$, respectively, with access to their ``source code''. Our goal is to decide whether $rho_0$ is $epsilon_1$-close to or $epsilon_2$-far from $rho_1$ with respect to a specified distance-like measure. Interestingly, unlike time-bounded state testing problems, which exhibit computational hardness depending on the chosen distance-like measure (either QSZK-complete or BQP-complete), our results reveal that the space-bounded state testing problems, considering all three measures, are computationally as easy as preparing quantum states. Our results primarily build upon a space-efficient variant of the quantum singular value transformation (QSVT) introduced by Gily'en, Su, Low, and Wiebe (STOC 2019), which is of independent interest. Our technique provides a unified approach for designing space-bounded quantum algorithms. Specifically, we show that implementing QSVT for any bounded polynomial that approximates a piecewise-smooth function incurs only a constant overhead in terms of the space required for special forms of the projected unitary encoding.
在探索有限量子位的量子计算能力的驱动下,我们从量子态测试的角度提出了一种新的空间有界量子计算的完全表征,其中包括单侧错误(幺正coRQL)和双侧错误(BQL)的设置:-幺正coRQL的第一族自然完全问题,即轨迹距离和希尔伯特-施密特距离的空间有界量子态证明;- BQL的一组新的自然完备问题,即:轨迹距离、Hilbert-Schmidt距离和量子熵差的空间有界量子态测试。在有空间边界的量子态测试问题中,我们考虑两个对数量子比特量子电路(设备),分别表示为$Q_0$和$Q_1$,它们分别准备量子态$rho_0$和$rho_1$,并访问它们的“源代码”。我们的目标是确定$rho_0$相对于特定的类似距离的度量是$epsilon_1$(接近)还是$epsilon_2$(远离)$rho_1$。有趣的是,与时间有限的状态测试问题不同,时间有限的状态测试问题取决于所选择的类距离度量(qszk完备或bqp完备),我们的结果表明,考虑到所有三种度量,空间有限的状态测试问题在计算上与制备量子态一样容易。我们的研究结果主要建立在gily、Su、Low和Wiebe (STOC 2019)提出的量子奇异值变换(QSVT)的空间高效变体的基础上,这是一个独立的研究方向。我们的技术为设计空间有限的量子算法提供了一种统一的方法。具体来说,我们证明了对任何近似分段平滑函数的有界多项式实现QSVT只会在特殊形式的投影酉编码所需的空间方面产生恒定的开销。
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引用次数: 1
Determinants vs. Algebraic Branching Programs 行列式与代数分支程序
Pub Date : 2023-08-08 DOI: 10.48550/arXiv.2308.04599
Abhranil Chatterjee, Mrinal Kumar, Ben lee Volk
We show that for every homogeneous polynomial of degree $d$, if it has determinantal complexity at most $s$, then it can be computed by a homogeneous algebraic branching program (ABP) of size at most $O(d^5s)$. Moreover, we show that for $textit{most}$ homogeneous polynomials, the width of the resulting homogeneous ABP is just $s-1$ and the size is at most $O(ds)$. Thus, for constant degree homogeneous polynomials, their determinantal complexity and ABP complexity are within a constant factor of each other and hence, a super-linear lower bound for ABPs for any constant degree polynomial implies a super-linear lower bound on determinantal complexity; this relates two open problems of great interest in algebraic complexity. As of now, super-linear lower bounds for ABPs are known only for polynomials of growing degree, and for determinantal complexity the best lower bounds are larger than the number of variables only by a constant factor. While determinantal complexity and ABP complexity are classically known to be polynomially equivalent, the standard transformation from the former to the latter incurs a polynomial blow up in size in the process, and thus, it was unclear if a super-linear lower bound for ABPs implies a super-linear lower bound on determinantal complexity. In particular, a size preserving transformation from determinantal complexity to ABPs does not appear to have been known prior to this work, even for constant degree polynomials.
我们证明了对于每一个阶次为$d$的齐次多项式,如果它的确定性复杂度不超过$s$,那么它可以用一个最不超过$O(d^5s)$的齐次代数分支程序(ABP)来计算。此外,我们表明,对于$textit{most}$齐次多项式,得到的齐次ABP的宽度仅为$s-1$,大小最多为$O(ds)$。因此,对于常次齐次多项式,其行列式复杂度和ABP复杂度都在一个常数因子内,因此,任意常次多项式的ABP的超线性下界意味着行列式复杂度的超线性下界;这涉及到代数复杂性中两个非常有趣的开放问题。到目前为止,abp的超线性下界只对级数增长的多项式已知,而对于行列式复杂度,最佳下界只比变量数大一个常数因子。虽然行列式复杂度和ABP复杂度在经典上被认为是多项式等价的,但从前者到后者的标准转换在过程中会导致多项式大小的膨胀,因此,不清楚ABP的超线性下界是否意味着行列式复杂度的超线性下界。特别是,在这项工作之前,从确定性复杂性到abp的大小保持转换似乎并不为人所知,即使对于常次多项式也是如此。
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引用次数: 0
On Approximability of Satisfiable k-CSPs: IV 可满足k- csp的近似性:IV
Pub Date : 2023-07-30 DOI: 10.48550/arXiv.2307.16248
Amey Bhangale, Subhash Khot, Dor Minzer
We prove a stability result for general $3$-wise correlations over distributions satisfying mild connectivity properties. More concretely, we show that if $Sigma,Gamma$ and $Phi$ are alphabets of constant size, and $mu$ is a pairwise connected distribution over $SigmatimesGammatimesPhi$ with no $(mathbb{Z},+)$ embeddings in which the probability of each atom is $Omega(1)$, then the following holds. Any triplets of $1$-bounded functions $fcolon Sigma^ntomathbb{C}$, $gcolon Gamma^ntomathbb{C}$, $hcolon Phi^ntomathbb{C}$ satisfying [ left|mathbb{E}_{(x,y,z)sim mu^{otimes n}}big[f(x)g(y)h(z)big]right|geq varepsilon ] must arise from an Abelian group associated with the distribution $mu$. More specifically, we show that there is an Abelian group $(H,+)$ of constant size such that for any such $f,g$ and $h$, the function $f$ (and similarly $g$ and $h$) is correlated with a function of the form $tilde{f}(x) = chi(sigma(x_1),ldots,sigma(x_n)) L (x)$, where $sigmacolon Sigma to H$ is some map, $chiin hat{H}^{otimes n}$ is a character, and $Lcolon Sigma^ntomathbb{C}$ is a low-degree function with bounded $2$-norm. En route we prove a few additional results that may be of independent interest, such as an improved direct product theorem, as well as a result we refer to as a ``restriction inverse theorem'' about the structure of functions that, under random restrictions, with noticeable probability have significant correlation with a product function. In companion papers, we show applications of our results to the fields of Probabilistically Checkable Proofs, as well as various areas in discrete mathematics such as extremal combinatorics and additive combinatorics.
我们证明了在满足温和连通性的分布上的一般$3$明智相关性的稳定性结果。更具体地说,我们表明,如果$Sigma,Gamma$和$Phi$是恒定大小的字母,并且$mu$是$SigmatimesGammatimesPhi$上的成对连接分布,其中没有$(mathbb{Z},+)$嵌入,其中每个原子的概率为$Omega(1)$,则以下情况成立。满足[ left|mathbb{E}_{(x,y,z)sim mu^{otimes n}}big[f(x)g(y)h(z)big]right|geq varepsilon ]的任何$1$ -有界函数$fcolon Sigma^ntomathbb{C}$, $gcolon Gamma^ntomathbb{C}$, $hcolon Phi^ntomathbb{C}$的三元组必须产生于与分布$mu$相关联的阿贝尔群。更具体地说,我们证明了存在一个大小不变的阿贝尔群$(H,+)$,使得对于任何这样的$f,g$和$h$,函数$f$(以及类似的$g$和$h$)与形式为$tilde{f}(x) = chi(sigma(x_1),ldots,sigma(x_n)) L (x)$的函数相关,其中$sigmacolon Sigma to H$是某个映射,$chiin hat{H}^{otimes n}$是一个字符,$Lcolon Sigma^ntomathbb{C}$是一个低度函数,具有有界的$2$范数。在此过程中,我们证明了一些可能独立感兴趣的其他结果,例如改进的直接乘积定理,以及我们称之为“限制逆定理”的结果,该结果是关于函数的结构,在随机限制下,与乘积函数具有显著的概率相关性。在同伴论文中,我们展示了我们的结果在概率可检验证明领域的应用,以及离散数学的各个领域,如极值组合学和加性组合学。
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引用次数: 3
Constant-depth circuits vs. monotone circuits 恒深电路与单调电路
Pub Date : 2023-05-11 DOI: 10.48550/arXiv.2305.06821
B. P. Cavalar, I. Oliveira
We establish new separations between the power of monotone and general (non-monotone) Boolean circuits: - For every $k geq 1$, there is a monotone function in ${sf AC^0}$ that requires monotone circuits of depth $Omega(log^k n)$. This significantly extends a classical result of Okol'nishnikova (1982) and Ajtai and Gurevich (1987). In addition, our separation holds for a monotone graph property, which was unknown even in the context of ${sf AC^0}$ versus ${sf mAC^0}$. - For every $k geq 1$, there is a monotone function in ${sf AC^0}[oplus]$ that requires monotone circuits of size $exp(Omega(log^k n))$. This makes progress towards a question posed by Grigni and Sipser (1992). These results show that constant-depth circuits can be more efficient than monotone circuits when computing monotone functions. In the opposite direction, we observe that non-trivial simulations are possible in the absence of parity gates: every monotone function computed by an ${sf AC^0}$ circuit of size $s$ and depth $d$ can be computed by a monotone circuit of size $2^{n - n/O(log s)^{d-1}}$. We show that the existence of significantly faster monotone simulations would lead to breakthrough circuit lower bounds. In particular, if every monotone function in ${sf AC^0}$ admits a polynomial size monotone circuit, then ${sf NC^2}$ is not contained in ${sf NC^1}$ . Finally, we revisit our separation result against monotone circuit size and investigate the limits of our approach, which is based on a monotone lower bound for constraint satisfaction problems established by G"o"os et al. (2019) via lifting techniques. Adapting results of Schaefer (1978) and Allender et al. (2009), we obtain an unconditional classification of the monotone circuit complexity of Boolean-valued CSPs via their polymorphisms. This result and the consequences we derive from it might be of independent interest.
我们在单调的功率和一般(非单调)布尔电路之间建立了新的分离:—对于每个$k geq 1$,在${sf AC^0}$中有一个单调函数,它需要深度为$Omega(log^k n)$的单调电路。这大大扩展了Okol'nishnikova(1982)和Ajtai and Gurevich(1987)的经典结果。此外,我们的分离适用于单调图属性,即使在${sf AC^0}$与${sf mAC^0}$的上下文中也是未知的。—对于每个$k geq 1$, ${sf AC^0}[oplus]$中都有一个单调函数,需要大小为$exp(Omega(log^k n))$的单调电路。这使得Grigni和Sipser(1992)提出的问题取得了进展。这些结果表明,在计算单调函数时,恒深电路比单调电路更有效。在相反的方向上,我们观察到,在没有奇偶门的情况下,非平凡的模拟是可能的:由大小为$s$和深度为$d$的${sf AC^0}$电路计算的每个单调函数都可以由大小为$2^{n - n/O(log s)^{d-1}}$的单调电路计算。我们证明了显著更快的单调模拟的存在将导致突破电路的下界。特别地,如果${sf AC^0}$中的每个单调函数都允许多项式大小的单调电路,则${sf NC^1}$中不包含${sf NC^2}$。最后,我们根据单调电路大小重新审视了我们的分离结果,并研究了我们方法的局限性,该方法基于Göös等人(2019)通过提升技术建立的约束满足问题的单调下界。根据Schaefer(1978)和Allender et al.(2009)的结果,我们通过布尔值csp的多态性获得了它们单调回路复杂度的无条件分类。这个结果和我们从中得出的结果可能是独立的。
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引用次数: 2
Sampling and Certifying Symmetric Functions 对称函数的抽样和证明
Pub Date : 2023-05-07 DOI: 10.48550/arXiv.2305.04363
Yuval Filmus, Itai Leigh, Artur Riazanov, Dmitry Sokolov
A circuit $mathcal{C}$ samples a distribution $mathbf{X}$ with an error $epsilon$ if the statistical distance between the output of $mathcal{C}$ on the uniform input and $mathbf{X}$ is $epsilon$. We study the hardness of sampling a uniform distribution over the set of $n$-bit strings of Hamming weight $k$ denoted by $mathbf{U}^n_k$ for _decision forests_, i.e. every output bit is computed as a decision tree of the inputs. For every $k$ there is an $O(log n)$-depth decision forest sampling $mathbf{U}^n_k$ with an inverse-polynomial error [Viola 2012, Czumaj 2015]. We show that for every $epsilon>0$ there exists $tau$ such that for decision depth $tau log (n/k) / log log (n/k)$, the error for sampling $mathbf{U}_k^n$ is at least $1-epsilon$. Our result is based on the recent robust sunflower lemma [Alweiss, Lovett, Wu, Zhang 2021, Rao 2019]. Our second result is about matching a set of $n$-bit strings with the image of a $d$-_local_ circuit, i.e. such that each output bit depends on at most $d$ input bits. We study the set of all $n$-bit strings whose Hamming weight is at least $n/2$. We improve the previously known locality lower bound from $Omega(log^* n)$ [Beyersdorff, Datta, Krebs, Mahajan, Scharfenberger-Fabian, Sreenivasaiah, Thomas and Vollmer, 2013] to $Omega(sqrt{log n})$, leaving only a quartic gap from the best upper bound of $O(log^2 n)$.
如果均匀输入上$mathcal{C}$的输出与$mathbf{X}$的统计距离为$epsilon$,则电路$mathcal{C}$对分布$mathbf{X}$进行采样,误差为$epsilon$。对于_decision forests_,我们研究了在haming权值$k$(表示为$mathbf{U}^n_k$)的$n$ -bit字符串集合上均匀分布采样的难度,即每个输出比特都被计算为输入的决策树。对于每个$k$,都有一个具有逆多项式误差的$O(log n)$深度决策森林采样$mathbf{U}^n_k$ [Viola 2012, Czumaj 2015]。我们表明,对于每个$epsilon>0$存在$tau$,使得对于决策深度$tau log (n/k) / log log (n/k)$,采样$mathbf{U}_k^n$的误差至少为$1-epsilon$。我们的结果是基于最近的稳健向日葵引理[Alweiss, Lovett, Wu, Zhang 2021, Rao 2019]。我们的第二个结果是关于将一组$n$位字符串与$d$ -_local_电路的图像进行匹配,即每个输出位最多依赖于$d$位输入。我们研究了汉明权值至少为$n/2$的所有$n$位字符串的集合。我们将先前已知的局域下界从$Omega(log^* n)$ [Beyersdorff, Datta, Krebs, Mahajan, Scharfenberger-Fabian, Sreenivasaiah, Thomas and Vollmer, 2013]改进到$Omega(sqrt{log n})$,只留下与$O(log^2 n)$的最佳上界的四分之一差距。
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引用次数: 1
From Grassmannian to Simplicial High-Dimensional Expanders 从格拉斯曼膨胀到简单高维膨胀
Pub Date : 2023-05-04 DOI: 10.48550/arXiv.2305.02512
Louis Golowich
In this paper, we present a new construction of simplicial complexes of subpolynomial degree with arbitrarily good local spectral expansion. Previously, the only known high-dimensional expanders (HDXs) with arbitrarily good expansion and less than polynomial degree were based on one of two constructions, namely Ramanujan complexes and coset complexes. In contrast, our construction is a Cayley complex over the group $mathbb{F}_2^k$, with Cayley generating set given by a Grassmannian HDX. Our construction is in part motivated by a coding-theoretic interpretation of Grassmannian HDXs that we present, which provides a formal connection between Grassmannian HDXs, simplicial HDXs, and LDPC codes. We apply this interpretation to prove a general characterization of the 1-homology groups over $mathbb{F}_2$ of Cayley simplicial complexes over $mathbb{F}_2^k$. Using this result, we construct simplicial complexes on $N$ vertices with arbitrarily good local expansion for which the dimension of the 1-homology group grows as $Omega(log^2N)$. No prior constructions in the literature have been shown to achieve as large a 1-homology group.
本文给出了具有任意良好局域谱展开式的次多项式次简单复形的一种新构造。在此之前,已知的具有任意良好展开且小于多项式次的高维展开器(hdx)是基于Ramanujan复形和coset复形两种结构之一。相比之下,我们的结构是在群$mathbb{F}_2^k$上的Cayley复合体,Cayley发电机组由Grassmannian HDX给出。我们的构建部分是由我们提出的Grassmannian hdx的编码理论解释驱动的,它提供了Grassmannian hdx,简单hdx和LDPC代码之间的正式联系。我们应用这一解释证明了$mathbb{F}_2^k$上Cayley简单配合物$mathbb{F}_2$上1-同源群的一般性质。利用这一结果,我们在$N$顶点上构造了具有任意良好局部展开的简单复形,其1-同调群的维数增长为$Omega(log^2N)$。在文献中没有先前的结构被证明可以实现如此大的1-同源群。
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引用次数: 0
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Electron. Colloquium Comput. Complex.
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