Late time behavior in $f(R,\mathcal{L}_{m})$ gravity through Gaussian reconstruction and dynamical stability
Y. Kalpana Devi, S.A. Narawade, B. Mishra

TL;DR
This paper reconstructs and analyzes $f(R, \\mathcal{L}_m)$ gravity models using Gaussian processes and phase-space methods, showing they can explain late-time cosmic acceleration without a cosmological constant.
Contribution
It introduces data-driven reconstructed $f(\\mathcal{L}_m)$ models and demonstrates their dynamical stability and viability for late-time cosmic acceleration.
Findings
Reconstructed power-law and exponential $f(\\mathcal{L}_m)$ models from Hubble data.
Identified stable critical points indicating viable cosmic evolution.
Models exhibit late-time stable attractors consistent with accelerated expansion.
Abstract
In this paper, we explore modified gravity in the framework of theories by reconstructing the function , where is the matter Lagrangian, under the assumption of a pressureless, matter-dominated Universe. Using a non-parametric Gaussian process reconstruction technique applied to Hubble data, we obtain two viable models of : (i) a power-law model with and (ii) an exponential model with . We then fix the parameter values within these reconstructed ranges and analyze the corresponding dynamical systems within the matter-dominated epoch by constructing autonomous equations. Phase-space analysis reveals the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Particle physics theoretical and experimental studies
