Typical Macroscopic Long-Time Behavior for Random Hamiltonians
Abstract
We consider a closed macroscopic quantum system in a pure state t evolving unitarily and take for granted that different macro states correspond to mutually orthogonal subspaces H (macro spaces) of Hilbert space, each of which has large dimension. We extend previous work on the question what the evolution of t looks like macroscopically, specifically on how much of t lies in each H. Previous bounds concerned the absolute error for typical 0 and/or t and are valid for arbitrary Hamiltonians H; now, we provide bounds on the relative error, which means much tighter bounds, with probability close to 1 by modeling H as a random matrix, more precisely as a random band matrix (i.e., where only entries near the main diagonal are significantly nonzero) in a basis aligned with the macro spaces. We exploit particularly that the eigenvectors of H are delocalized in this basis. Our main mathematical results confirm the two phenomena of generalized normal typicality (a type of long-time behavior) and dynamical typicality (a type of similarity within the ensemble of 0 from an initial macro space). They are based on an extension we prove of a no-gaps delocalization result for random matrices by Rudelson and Vershynin.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.