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Spectral Chebyshev Approximation of Cosmic Expansion in $f(R)$ Gravity

Akshay Rana

TL;DR

We address the stiff, nonlinear background evolution in $f(R)$ gravity and its confrontation with late-time data. We introduce a global spectral Chebyshev collocation method that writes $E(z)$ as $E(z)\approx \sum_{k=0}^N a_k T_k(x(z))$ with $x(z)=2z/z_{\max}-1$ and enforces the dimensionless master equation at Chebyshev–Gauss–Lobatto nodes, converting to a nonlinear algebraic system for the coefficients solved by Powell–hybr. Applied to Hu–Sawicki and Starobinsky models and constrained with cosmic chronometer $H(z)$ data plus Union 3.0 SN, the reconstructed expansion histories agree with observations within $2\sigma$ for $0<z<2$, with best-fit parameters around $\Omega_{m0}\simeq 0.29$, $H_0\simeq 68$ km s$^{-1}$ Mpc$^{-1}$, and $\Lambda_{\mathrm{eff}}/H_0^2\simeq 1.2$–$2.5$. The method provides a precise, computationally efficient framework for testing modified gravity in the precision-data era and offers a foundation for incorporating perturbations and Boltzmann-code integration in future work.

Abstract

We present a numerical framework to study the cosmological background evolution in $f(R)$ gravity by employing a \textit{spectral Chebyshev collocation approach}. Unlike standard integration methods such as Runge--Kutta that often encounter stiffness and accuracy issues, this formulation expands the normalized Hubble function $E(z) = H(z)/H_0$ as a finite Chebyshev series. The modified Friedmann equation is then enforced at selected Chebyshev--Gauss--Lobatto points, converting the original nonlinear differential equation into a system of algebraic relations for the series coefficients. This transformation yields exponentially convergent and numerically stable solutions over the entire redshift domain, $0<z<z_{max}$, eliminating the need for adaptive step-size control. We apply the method to two widely studied $f(R)$ models, Hu--Sawicki and Starobinsky, and perform a combined analysis using cosmic chronometer $H(z)$ data and the Union~3.0 supernova compilation. The reconstructed expansion histories match observations to within $2σ$ over $0 < z < 2$, producing best-fit parameters of approximately $(Ω_{m0}, H_0, Λ_{\mathrm{eff}}) \simeq (0.29, 68, 1.2\text{--}2.5\,H_0^2)$. These results indicates that both models reproduce the observed late-time acceleration while permitting small geometric corrections to $Λ$CDM. Overall, the spectral Chebyshev method provides a precise and computationally efficient framework for probing modified-gravity cosmologies in the precision-data era.

Spectral Chebyshev Approximation of Cosmic Expansion in $f(R)$ Gravity

TL;DR

We address the stiff, nonlinear background evolution in gravity and its confrontation with late-time data. We introduce a global spectral Chebyshev collocation method that writes as with and enforces the dimensionless master equation at Chebyshev–Gauss–Lobatto nodes, converting to a nonlinear algebraic system for the coefficients solved by Powell–hybr. Applied to Hu–Sawicki and Starobinsky models and constrained with cosmic chronometer data plus Union 3.0 SN, the reconstructed expansion histories agree with observations within for , with best-fit parameters around , km s Mpc, and . The method provides a precise, computationally efficient framework for testing modified gravity in the precision-data era and offers a foundation for incorporating perturbations and Boltzmann-code integration in future work.

Abstract

We present a numerical framework to study the cosmological background evolution in gravity by employing a \textit{spectral Chebyshev collocation approach}. Unlike standard integration methods such as Runge--Kutta that often encounter stiffness and accuracy issues, this formulation expands the normalized Hubble function as a finite Chebyshev series. The modified Friedmann equation is then enforced at selected Chebyshev--Gauss--Lobatto points, converting the original nonlinear differential equation into a system of algebraic relations for the series coefficients. This transformation yields exponentially convergent and numerically stable solutions over the entire redshift domain, , eliminating the need for adaptive step-size control. We apply the method to two widely studied models, Hu--Sawicki and Starobinsky, and perform a combined analysis using cosmic chronometer data and the Union~3.0 supernova compilation. The reconstructed expansion histories match observations to within over , producing best-fit parameters of approximately . These results indicates that both models reproduce the observed late-time acceleration while permitting small geometric corrections to CDM. Overall, the spectral Chebyshev method provides a precise and computationally efficient framework for probing modified-gravity cosmologies in the precision-data era.
Paper Structure (19 sections, 75 equations, 4 figures, 1 table)

This paper contains 19 sections, 75 equations, 4 figures, 1 table.

Figures (4)

  • Figure 1: Equation Flow for $f(R)$ Cosmology (Dimensionless Form): Flowchart summarizing the dimensionless master equation of $f(R)$ cosmology in redshift space and its related quantities ($\mathcal{R}$, $\mathcal{R}'$, $\tilde{f}$, $\tilde{f}_{\mathcal{R}}$, $\tilde{f}_{\mathcal{RR}}$) for the Hu--Sawicki and Starobinsky models. For a given matter density $\Omega_{m0}$ and model parameters $\theta$, this nonlinear equation can be solved by determining $E(z)$ together with its derivatives $E'(z)$ and $E"(z)$. Hence, solving Eq. \ref{['eq:frfriedmann_dimless']} is the primary aim of background cosmological analysis in $f(R)$ gravity.
  • Figure 2: Flowchart of the Chebyshev collocation method for $f(R)$ cosmology, showing the master equation $F(E,E',E";z,\Omega_{m0},\theta)=0$, Ricci scalar definitions, algebraic system setup, solver, and inputs/models required for coding. Refer to Appendix \ref{['app:cheb_solver']} for the stepwise process.
  • Figure 3: Corner plots showing the posterior distributions and covariances between cosmological parameters for two $f(R)$ gravity models obtained using Cosmic chronometers $H(z) +$ Unity 3.0 SNe Ia observational datasets. The left panel corresponds to the Hu–Sawicki model having parameters $\Omega_m$, $b$, $\Lambda$, and $H_0$ , while the right panel shows the Starobinsky model having parameters $\Omega_m$, $\mathcal{R}_c$, $\Lambda$, and $H_0$ . Contours represent the 68% and 95% confidence levels for each parameter pair.
  • Figure 4: Reconstructed expansion histories $H(z)$ for two $f(R)$ gravity models compared with the standard $\Lambda$CDM scenario. Panel (a) shows the Hu-Sawicki model, while panel (b) corresponds to the Starobinsky model. The solid blue curve represents the reconstructed median evolution of $H(z)$ with the associated $68\%$ credible region shaded in blue, obtained from the MCMC posterior samples. The dashed black line denotes the best-fit $\Lambda$CDM prediction, and the data points with error bars correspond to cosmic chronometer measurements of $H(z)$ at various redshifts.