Bounds on topological Abelian string-vortex and string-cigar from information-entropic measure

TL;DR

This paper uses configurational entropy to establish bounds on topological Abelian string-vortex and string-cigar models, helping to identify optimal parameters by linking system organization with energy in higher-dimensional braneworld scenarios.

Contribution

It introduces a novel application of configurational entropy to constrain parameters in six-dimensional braneworld models, providing a new information-theoretic approach to analyze topological defects.

Findings

Configurational entropy correlates with energy levels of the system.

Minimizing CE helps identify the most organized and physically relevant parameters.

CE provides a complementary perspective to energy-based analyses.

Abstract

In this work we obtain bounds on the topological Abelian string-vortex and on the string-cigar, by using a new measure of configurational complexity, known as configurational entropy. In this way, the information-theoretical measure of six-dimensional braneworlds scenarios are capable to probe situations where the parameters responsible for the brane thickness are arbitrary. The so-called configurational entropy (CE) selects the best value of the parameter in the model. This is accomplished by minimizing the CE, namely, by selecting the most appropriate parameters in the model that correspond to the most organized system, based upon the Shannon information theory. This information-theoretical measure of complexity provides a complementary perspective to situations where strictly energy-based arguments are inconclusive. We show that the higher the energy the higher the CE, what shows an important correlation between the energy of the a localized field configuration and its associated entropic measure.