Reevaluation of Inflationary Dynamics in Extended General Relativity with Perturbatively and Tensorially Structured Conformal Metric
Swapnil K. Singh (BMS Bangalore), Saleh O. Allehabi (Islamic U. of Madinah), Azzah A. Alshehri (Hafr El Batin U., Hafr El Batin, Egyptian Ctr. Theor. Phys., Cairo), Mahmoud Nasar (Benha U., Egyptian Ctr. Theor. Phys., Cairo), Abdel Nasser Tawfik (Islamic U., Madinah

TL;DR
This paper reexamines inflationary dynamics using a quantum-deformed conformal metric, deriving analytical formulas for inflationary observables with quantum corrections that suggest new physical interpretations.
Contribution
It introduces a novel quantum-deformed conformal metric framework to compute inflationary observables, incorporating quantum corrections into the inflationary paradigm.
Findings
Derived analytical formulas for scalar and tensor power spectra.
Quantum corrections relate to measure scaling and kinetic deformation.
Modified inflationary observables with controlled quantum effects.
Abstract
Based on the conventional metric tensor and driven by a nearly constant energy density, cosmic inflation, characterized by a remarkably accelerated expansion, was proposed as an early epoch in the Universe. The energy density is typically modeled through a slow-rolling scalar field, whose potential energy dominates the dynamics. This mechanism addresses horizon, flatness, and relic problems, while also generating quantum fluctuations that are stretched to cosmological scales, leading to emergence of primordial curvatures and tensor perturbations. Despite its empirical success, significant questions remain regarding identity of the inflaton, origin of the potential, and role of quantum gravity. A quantum-deformed conformal metric that is both perturbatively and tensorially structured and expanded is employed to reexamine the dynamics of inflation, thus enabling the computation of a range…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
