$\gamma_5$ in Dimensional Regularization: a Novel Approach
Ruggero Ferrari

TL;DR
This paper introduces a novel dimensional regularization method for gamma_5 that maintains cyclicity and Lorentz covariance, extending previous work through an integral trace representation.
Contribution
It presents a new approach to dimensional regularization of gamma_5 that preserves key symmetries and generalizes previous methods.
Findings
Ensures cyclicity and Lorentz covariance in gamma_5 regularization
Provides an extension to generic dimensions using integral trace representation
Builds on previous trace integral methods for gamma matrices
Abstract
A new Dimensional Regularization of is proposed. Cyclicity and Lorentz covariance are enforced. The extension to generic dimension is based on the integral representation of the trace of gamma's, presented in a previous paper.
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Taxonomy
TopicsNumerical methods in inverse problems · Topology Optimization in Engineering · Advanced Mathematical Modeling in Engineering
