Edge ideals of Erdős–Rényi random graphs: linear resolution, unmixedness and regularity

IF 0.6 3区 数学 Q3 MATHEMATICS
Banerjee, Arindam, Yogeshwaran, D.
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引用次数: 3

Abstract

We study the homological algebra of edge ideals of Erdős–Rényi random graphs. These random graphs are generated by deleting edges of a complete graph on n vertices independently of each other with probability $$1-p$$ . We focus on some aspects of these random edge ideals—linear resolution, unmixedness and algebraic invariants like the Castelnuovo–Mumford regularity, projective dimension and depth. We first show a double phase transition for existence of linear presentation and resolution and determine the critical windows as well. As a consequence, we obtain that except for a very specific choice of parameters (i.e., $$n,p:= p(n)$$ ), with high probability, a random edge ideal has linear presentation if and only if it has linear resolution. This shows certain conjectures hold true for large random graphs with high probability even though the conjectures were shown to fail for determinstic graphs. Next, we study asymptotic behaviour of some algebraic invariants—the Castelnuovo–Mumford regularity, projective dimension and depth—of such random edge ideals in the sparse regime (i.e., $$p = \frac{\lambda }{n}, \lambda \in (0,\infty )$$ ). These invariants are studied using local weak convergence (or Benjamini-Schramm convergence) and relating them to invariants on Galton–Watson trees. We also show that when $$p \rightarrow 0$$ or $$p \rightarrow 1$$ fast enough, then with high probability the edge ideals are unmixed and for most other choices of p, these ideals are not unmixed with high probability. This is further progress towards the conjecture that random monomial ideals are unlikely to have Cohen–Macaulay property (De Loera et al. in Proc Am Math Soc 147(8):3239–3257, 2019; J Algebra 519:440–473, 2019) in the setting when the number of variables goes to infinity but the degree is fixed.
Erdős-Rényi随机图的边缘理想:线性分辨率、非混合性和规律性
研究了Erdős-Rényi随机图的边理想的同调代数。这些随机图是通过以$$1-p$$的概率删除n个彼此独立的顶点上的完整图的边来生成的。我们关注这些随机边缘理想的一些方面——线性分辨率、非混合性和代数不变量,如Castelnuovo-Mumford正则性、射影维数和深度。我们首先展示了存在线性表示和分辨率的双相变,并确定了临界窗口。因此,我们得到,除了非常具体的参数选择(即$$n,p:= p(n)$$),在高概率下,随机边缘理想具有线性表示,当且仅当它具有线性分辨率。这表明某些猜想对于大概率随机图是正确的,即使这些猜想对于确定性图是失败的。接下来,我们研究了一些代数不变量的渐近行为——这些随机边缘理想在稀疏区(即$$p = \frac{\lambda }{n}, \lambda \in (0,\infty )$$)中的Castelnuovo-Mumford正则性、射影维数和深度。利用局部弱收敛(或Benjamini-Schramm收敛)研究了这些不变量,并将它们与Galton-Watson树上的不变量联系起来。我们还表明,当$$p \rightarrow 0$$或$$p \rightarrow 1$$足够快时,那么高概率边缘理想是未混合的,而对于大多数其他p的选择,这些理想不是高概率未混合的。这是对随机单项式理想不太可能具有Cohen-Macaulay性质的猜想的进一步进展(De Loera et al. in Proc Am Math Soc 147(8): 3239-3257, 2019;J代数519:440-473,2019),当变量的数量趋于无穷,但程度是固定的。
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来源期刊
CiteScore
1.50
自引率
12.50%
发文量
94
审稿时长
6-12 weeks
期刊介绍: The Journal of Algebraic Combinatorics provides a single forum for papers on algebraic combinatorics which, at present, are distributed throughout a number of journals. Within the last decade or so, algebraic combinatorics has evolved into a mature, established and identifiable area of mathematics. Research contributions in the field are increasingly seen to have substantial links with other areas of mathematics. The journal publishes papers in which combinatorics and algebra interact in a significant and interesting fashion. This interaction might occur through the study of combinatorial structures using algebraic methods, or the application of combinatorial methods to algebraic problems.
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