Dynamical system analysis of Hessence scalar field in teleparallel gravity: Invariant manifold technique

Oct 2, 2019
43 pages
Published in:
  • Int.J.Mod.Phys.A 34 (2019) 28, 1950156
  • Published: Oct 2, 2019

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Abstract: (WSP)
This paper investigates the cosmological dynamics of the Hessence scalar field coupled with the dark matter in the background of the teleparallel gravity. We have assumed that the potential of the scalar field is exponential in nature whereas the f(T) appearing in the teleparallel theory has the form f(T) = β(−T)1 2. The field equations of this system reduce to a nonlinear autonomous system and dynamical system analysis is then performed. Due to the nonlinearity and the existence of multiple zero eigenvalues, the traditional procedures of analysis break down. So some novel technique is required. One of the latest such techniques is the invariant manifold theory. By the application of this theory, one projects the variables linked with the zero eigenvalues onto the variables linked with the nonzero eigenvalues to compute the center manifolds and the reduced systems associated with the critical points. These reduced systems reflect the nature of the whole dynamical systems. They also have less dimension and are often simple in nature. Hence, it is possible to solve them directly. In this paper, we work exactly in this spirit and find the center manifolds and solve the corresponding reduced system for some of the critical points associated with the dynamical system. We discover some interesting results namely that there are certain bounds on the interaction term δ which asserts the stability of the systems. We also present various stability diagrams of the reduced systems. An asymptotic analysis is then done for the critical points at infinity. Finally, we discuss the cosmological interpretation of our results.
  • 98.80.-k
  • 05.45.-a
  • 02.40.Sf
  • 02.40.Tt
  • Teleparallel gravity
  • Hessence
  • nonhyperbolic point
  • center manifold
  • gravitation: teleparallel
  • potential: scalar
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