Ortega, A., Daniel, T., & Koushiappas, S. M. (2024). Field Equations in Chern-Simons-Gauss-Bonnet Gravity. arXiv preprint arXiv:2411.05911.
This paper aims to derive and present the complete set of field equations in Chern-Simons-Gauss-Bonnet (CS-GB) gravity for a suite of fundamental metrics. This forms the foundation for future work aimed at numerically solving these equations and comparing the results to observations, ultimately testing and constraining CS-GB gravity.
The authors begin by reviewing the theoretical framework of CS-GB gravity, demonstrating its emergence from heterotic string theory. They then systematically derive the modified field equations by incorporating CS and Gauss-Bonnet terms into the Einstein-Hilbert action and applying variational principles. These modified equations are then explicitly calculated for four fundamental metrics: Friedmann-Lemaître-Robertson-Walker (FLRW), spherically symmetric, Schwarzschild, and perturbed Minkowski.
The paper provides a comprehensive framework for studying the observational consequences of CS-GB gravity. The derived field equations for various fundamental metrics offer a starting point for numerical investigations and comparisons with cosmological and astrophysical data. This will enable future work to constrain the theory's parameters and assess its viability as a modification to general relativity.
This research is significant because it provides a concrete mathematical framework for testing CS-GB gravity, a theory with strong motivations from string theory and potential implications for cosmology and astrophysics. By deriving the field equations for fundamental metrics, the authors pave the way for future observational tests of this modified gravity theory.
The paper focuses on deriving the field equations but does not provide numerical solutions or specific observational predictions. Future research should focus on solving these equations for specific scenarios, such as black hole formation, gravitational wave propagation, and cosmological evolution, to derive testable predictions and constrain the theory's parameters.
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