arXivDaily arXiv每日学术速递 周一至周五更新
arXiv math-ph/0001026math-phhep-thmath.MP
收藏

(无限)图上的图拉普拉斯算子和Dirac算子及Connes距离泛函的计算

Graph-Laplacians and Dirac Operators on (Infinite) Graphs and the Calculation of the Connes-Distance-Functional

Manfred Requardt

摘要:

本文受非交换几何的启发,在(无限)图上建立了一个图-Hilbert空间框架,并利用它研究了\tit{graph-Laplacians}和所谓的\tit{graph-Dirac-operators}的谱性质.把各个部分放在一起,我们定义了一个{ \it光谱三元组},它与Connes所称的\tit{spectral triple}共享大部分(如果不是全部,取决于特定的图形模型)属性。借助于这个方案,我们导出了一般图上的{ \it Connes距离函数}的显式表达式,证明了它的各种先验估计,并对某些图的例子进行了计算.作为一个可能有趣的旁白,我们表明,自然设置接近这些问题可能是\tit{(non-)linear programming}或\tit{optimization}的框架。我们比较我们的结果(在我们特定的框架内)与其他作者的结果,并表明,表面上的差异取决于使用不同的图形几何和/或狄拉克算子。

英文摘要:

We develop a graph-Hilbert-space framework, inspired by non-commutative geometry, on (infinite) graphs and use it to study spectral properies of \tit{graph-Laplacians} and so-called \tit{graph-Dirac-operators}. Putting the various pieces together we define a {\it spectral triplet} sharing most (if not all, depending on the particular graph model) of the properties of what Connes calls a \tit{spectral triple}. With the help of this scheme we derive an explicit expression for the {\it Connes-distance function} on general graphs and prove both a variety of apriori estimates for it and calculate it for certain examples of graphs. As a possibly interesting aside, we show that the natural setting of approaching such problems may be the framework of \tit{(non-)linear programming} or \tit{optimization}. We compare our results (arrived at within our particular framework) with the results of other authors and show that the seeming differences depend on the use of different graph-geometries and/or Dirac operators.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑