arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0911.4884hep-thhep-ph
收藏

N = 4 SYM中的操作员混合:重新访问Konishi anomaly

Operator mixing in N = 4 SYM: The Konishi anomaly re-re-visited

B. Eden

摘要:

将小西算符与SU(4)的10中最低后裔联系起来的超对称变换在理论的N=1表述中并不明显,而是使用了一个运动方程。在经典的水平上,人们发现一个运营商,未整合的手征超势。在量子理论中,这一项被第二个算符(拉格朗日量的杨-米尔斯部分)混合。长期以来,人们一直在争论这种“异常”的贡献是否受到更高的环路校正的影响。我们提出了一个第一性原理计算在第二个非平凡阶微扰理论使用超对称降维作为调节器和重正化的Z-因子。如果要满足两点函数的共形性质,则需要对杨-米尔斯项的重正化因子进行奇异高次循环修正。这些奇点的形式在前面的工作中确定的相当一般的理由。此外,我们还发现了非零有限项。该问题的核心部分是评估一个四回路两点相关器,这是由拉波尔塔算法完成。除了几个例子的T1拓扑与两条线的非整数维,我们需要在前几个订单的三个主积分的展开。该方法是独立的,因为所有必要的信息可以从一些积分的幂计数有限性导出。

英文摘要:

The supersymmetry transformation relating the Konishi operator to its lowest descendant in the 10 of SU(4) is not manifest in the N=1 formulation of the theory but rather uses an equation of motion. On the classical level one finds one operator, the unintegrated chiral superpotential. In the quantum theory this term receives an admixture by a second operator, the Yang-Mills part of the Lagrangian. It has long been debated whether this "anomalous" contribution is affected by higher loop corrections. We present a first principles calculation at the second non-trivial order in perturbation theory using supersymmetric dimensional reduction as a regulator and renormalisation by Z-factors. Singular higher loop corrections to the renormalisation factor of the Yang-Mills term are required if the conformal properties of two-point functions are to be met. These singularities take the form determined in preceding work on rather general grounds. Moreover, we also find non-vanishing finite terms. The core part of the problem is the evaluation of a four-loop two-point correlator which is accomplished by the Laporta algorithm. Apart from several examples of the T1 topology with two lines of non-integer dimension we need the first few orders in the epsilon expansion of three master integrals. The approach is self-contained in that all the necessary information can be derived from the power counting finiteness of some integrals.

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。

↑