New results for Heisenberg dynamics for nonself-adjoint Hamiltonians

Abstract In a previous paper, we began our analysis on the role of non-self-adjoint Hamiltonians in connection with the Heisenberg dynamics for quantum systems. Here, motivated by the growing interest on this topic and on some recent results on dynamical systems, we continue this analysis focusing on what we believe is an unexplored (or, at least, not so explored! aspect of Heisenberg dynamics, related to the need for using vectors which are brute-force normalized . Our main interest is on conserved quantities and on conditions which guarantee that some observables of the system, or their mean values, do not evolve in time.

Institutions

Publication Details

Journal
Zeitschrift für angewandte Mathematik und Physik
Published
2026-03-23
DOI
https://doi.org/10.1007/s00033-026-02765-1
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New results for Heisenberg dynamics for nonself-adjoint Hamiltonians

Zeitschrift für angewandte Mathematik und Physik
Quantum many-body systems
article

New results for Heisenberg dynamics for nonself-adjoint Hamiltonians

article en

Abstract

Abstract In a previous paper, we began our analysis on the role of non-self-adjoint Hamiltonians in connection with the Heisenberg dynamics for quantum systems. Here, motivated by the growing interest on this topic and on some recent results on dynamical systems, we continue this analysis focusing on what we believe is an unexplored (or, at least, not so explored! aspect of Heisenberg dynamics, related to the need for using vectors which are brute-force normalized . Our main interest is on conserved quantities and on conditions which guarantee that some observables of the system, or their mean values, do not evolve in time.

Zeitschrift für angewandte Mathematik und PhysikVol. 77(4)
Istituto Nazionale di Fisica Nucleare, Sezione di Catania (IT), University of Palermo (IT)
Openalex Percentile: Top 10%
Quantum many-body systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.