4.7 Article

Porter-Thomas fluctuations in complex quantum systems

Journal

PHYSICAL REVIEW E
Volume 104, Issue 5, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.104.L052104

Keywords

-

Funding

  1. JSPS KAKENHI [JP19K03861, JP21H00120]

Ask authors/readers for more resources

The Gaussian orthogonal ensemble (GOE) is used to describe phenomena in strongly coupled quantum systems and explain fluctuations in decay rates. Coupling to decay channels can change the effective number of degrees of freedom. The effective number of degrees of freedom depends on the control parameter rho F, and can be analytically derived through the model.
The Gaussian orthogonal ensemble (GOE) of random matrices has been widely employed to describe diverse phenomena in strongly coupled quantum systems. In particular, it has often been invoked to explain the fluctuations in decay rates that follow the chi-squared distribution for one degree of freedom, as originally proposed by Brink and by Porter and Thomas. However, we find that the coupling to the decay channels can change the effective number of degrees of freedom from one to two. Our conclusions are based on a configuration-interaction Hamiltonian originally constructed to test the validity of transition-state theory, also known as the Rice-Ramsperger-Kassel-Marcus theory in chemistry. The internal Hamiltonian consists of two sets of GOE reservoirs connected by an internal channel. We find that the effective number of degrees of freedom depends on the control parameter rho F, where rho is the level density in the first reservoir and Gamma is the level decay width. The distribution for two degrees of freedom is a well-known property of the Gaussian unitary ensemble (GUE); our model demonstrates that the GUE fluctuations can be present under much milder conditions. Our treatment of the model permits an analytic derivation for rho Gamma greater than or similar to 1.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available