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Chaos in the BMN matrix model

Yuhma Asano, Daisuke Kawai, Kentaroh Yoshida

Abstract

We study classical chaotic motions in the Berenstein-Maldacena-Nastase (BMN) matrix model. For this purpose, it is convenient to focus upon a reduced system composed of two-coupled anharmonic oscillators by supposing an ansatz. We examine three ansätze: 1) two pulsating fuzzy spheres, 2) a single Coulomb-type potential, and 3) integrable fuzzy spheres. For the first two cases, we show the existence of chaos by computing Poincaré sections and a Lyapunov spectrum. The third case leads to an integrable system. As a result, the BMN matrix model is not integrable in the sense of Liouville, though there may be some integrable subsectors.

Chaos in the BMN matrix model

Abstract

We study classical chaotic motions in the Berenstein-Maldacena-Nastase (BMN) matrix model. For this purpose, it is convenient to focus upon a reduced system composed of two-coupled anharmonic oscillators by supposing an ansatz. We examine three ansätze: 1) two pulsating fuzzy spheres, 2) a single Coulomb-type potential, and 3) integrable fuzzy spheres. For the first two cases, we show the existence of chaos by computing Poincaré sections and a Lyapunov spectrum. The third case leads to an integrable system. As a result, the BMN matrix model is not integrable in the sense of Liouville, though there may be some integrable subsectors.

Paper Structure

This paper contains 11 sections, 35 equations, 4 figures.

Figures (4)

  • Figure 1: Poincaré sections and a Lyapunov spectrum. Different trajectories are indicated by dots with different color, depending on initial conditions.
  • Figure 2: Poincaré sections and a Lyapunov spectrum with the ansatz \ref{['ansatz1']}.
  • Figure 3: Poincaré sections and a Lyapunov spectrum with the ansatz \ref{['ansatz2']}. In Fig. (a), two KAM tori are contiguous. In Fig. (b), local chaos appears around the boundary.
  • Figure 4: Time evolution of a trajectory and a deviation vector set along it.