dc.description.abstract |
In current cosmic scenario, an accelerated expansion era is being reported by
various observations. The reasoning of such scenario is still unknown, the pres-
ence of an unknown energy component is seen which is named as DE. There
are various approaches to discuss the existence of DE and present acceleration
of universe. One of such attempts is the modification of Einstein’s gravity, here
we attempt to explore this problem within the modified gravity based on non-
minimal matter-geometry coupling. We examine f(R, T,Q) theory (where R is
the Ricci Scalar, T is the trace of EMT Tuv and Q = RuvTuv is interaction of EMT
Tμν and Ricci Tensor Ruv). We formulate the dynamical equations in the back-
ground of FLRW model and find the result of non-conserved EMT using the
divergence of the field equations. In this scenario test particles deviates from
geodesic motion and an extra force is there due to non-minimal coupling. We
applied this result to find an expression for energy density ρ for particular choice
of Lagrangian. Furthermore, we discuss the energy bound on the model param-
eters and discuss the late time cosmic acceleration for best suitable parameters
in accordance with recent observations.
We also study the cosmic evolution of non-minimally coupled f(R, T) gravity
(where R stands for Ricci scalar and T for trace of EMT) with matter formed of
CM and radiations. We find the cosmic evolution in the background of CM and
compare the results with NCM and ΛCDM model. In this study, we consider
the flat FLRW metric and formulate the dynamical equations. Here, we choose two models of non-minimal coupled f(R, T) gravity (already reconstructed in
[1]), and discuss the evolution of cosmological parameters, the effective EoS ωeff
and the deceleration parameter q(z) in the universe containing self-interacting
CM and radiations. In graphical description of these parameters we establish
the comparison of results for self-interacting CM, NCM and ΛCDM model. Our results are consistent with the observational data. |
en_US |