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Published on: May 14, 2016
Simple probability distributions on a Fock-space lattice
1Department of Chemistry, Physical and Theoretical Chemistry, Oxford University, South Parks Road, Oxford, OX1 3QZ, United Kingdom.
This study analyzes interacting spinless fermions with disorder, mapping the many-body localization model to a Fock-space (FS) lattice. Exact results for FS distributions are obtained, aiding in identifying mobility edges.
Area of Science:
- Condensed Matter Physics
- Quantum Mechanics
- Statistical Mechanics
Background:
- Many-body localization (MBL) is crucial for understanding quantum systems' thermalization properties.
- Disordered interacting fermion systems are standard models for MBL studies.
- Understanding the transition from localized to delocalized states is key.
Purpose of the Study:
- To analyze a standard model for many-body localization: interacting spinless fermions with quenched disorder.
- To investigate the model's behavior on d-dimensional hypercubic lattices at non-zero filling fractions.
- To explore the mapping to a Fock-space (FS) lattice and its implications.
Main Methods:
- Recasting the fermion model into an equivalent tight-binding model on a Fock-space (FS) lattice.
- Obtaining exact results in the thermodynamic limit for distributions of local FS coordination numbers, FS site-energies, and density of many-body states.
- Utilizing exact diagonalization for numerical analysis on modest system sizes.
Main Results:
- Distributions of local FS coordination numbers, FS site-energies, and density of many-body states were accurately determined.
- These distributions are well-captured by exact diagonalization on numerically tractable system sizes.
- The importance of choosing the correct variance for eigenvalue distributions for mobility edge identification was highlighted.
Conclusions:
- The Fock-space lattice approach provides an effective framework for studying disordered interacting fermion systems.
- Exact results and numerical methods confirm the model's behavior and distributions.
- Careful analysis of eigenvalue distributions is essential for robust identification of mobility edges in MBL studies.
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