Diagnosing $\Lambda$HDE model with statefinder hierarchy and fractional growth parameter
Abstract
Recently, a new dark energy model called HDE was proposed. In this model, dark energy consists of two parts: cosmological constant and holographic dark energy (HDE). Two key parameters of this model are the fractional density of cosmological constant , and the dimensionless HDE parameter . Since these two parameters determine the dynamical properties of DE and the destiny of universe, it is important to study the impacts of different values of and on the HDE model. In this paper, we apply various DE diagnostic tools to diagnose HDE models with different values of and ; these tools include statefinder hierarchy \{\}, fractional growth parameter , and composite null diagnostic (CND), which is a combination of \{\} and . We find that: (1) adopting different values of only has quantitative impacts on the evolution of the HDE model, while adopting different has qualitative impacts; (2) compared with , can give larger differences among the cosmic evolutions of the HDE model associated with different or different ; (3) compared with the case of using a single diagnostic, adopting a CND pair has much stronger ability to diagnose the HDE model.
Keywords
Cite
@article{arxiv.1602.02213,
title = {Diagnosing $\Lambda$HDE model with statefinder hierarchy and fractional growth parameter},
author = {Lanjun Zhou and Shuang Wang},
journal= {arXiv preprint arXiv:1602.02213},
year = {2016}
}
Comments
6 pages, 3 figures, accepted by Sci. China Phys. Mech. Astron