Non linear $\sigma$ models : renormalisability versus geometry
Guy Bonneau

TL;DR
This paper explores the renormalisability of non-linear sigma models, emphasizing the role of B.R.S. symmetry and the importance of defining theories through physical constraints rather than fixed Lagrangians.
Contribution
It introduces new perspectives on renormalisability in non-linear sigma models by incorporating B.R.S. symmetry and redefining theory formulation via physical constraints.
Findings
B.R.S. symmetry aids in understanding renormalisation
Physical constraints are crucial for defining theories
Proposes ways to extend the concept of renormalisability
Abstract
After some recalls on the standard (non)-linear model, we discuss the interest of B.R.S. symmetry in non-linear models renormalisation. We also emphasise the importance of a correct definition of a theory through physical constraints rather than as given by a particular Lagrangian and discuss some ways to enlarge the notion of renormalisability.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Complex Systems and Time Series Analysis · Mental Health Research Topics
