The Quantum Faedo-Galerkin Equation: Evolution Operator and Time Discretization

Joseph W Jerome*

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Time dependent quantum systems have become indispensable in science and nanotechnology. Disciplines including chemical physics and electrical engineering have used approximate evolution operators to solve these systems for targeted physical quantities. Here, we discuss the approximation of closed time dependent quantum systems on bounded domains via evolution operators. The work builds upon the use of weak solutions, which includes a framework for the evolution operator based upon dual spaces. We are able to derive the corresponding Faedo-Galerkin equation as well as its time discretization, yielding a fully discrete theory. We obtain corresponding approximation estimates. These estimates make no regularity assumptions on the weak solutions, other than their inherent properties. Of necessity, the estimates are in the dual norm, which is natural for weak solutions. This appears to be a novel aspect of this approach.

Original languageEnglish (US)
Pages (from-to)590-601
Number of pages12
JournalNumerical Functional Analysis and Optimization
Volume38
Issue number5
DOIs
StatePublished - May 4 2017

Fingerprint

Evolution Operator
Time Discretization
Galerkin
Weak Solution
Quantum Systems
Estimate
Electrical Engineering
Nanotechnology
Electrical engineering
Dual space
Approximation
Bounded Domain
Physics
Regularity
Norm
Closed

Keywords

  • Approximation estimates
  • Faedo-Galerkin operator equation
  • time dependent quantum systems
  • time-ordered evolution operators

ASJC Scopus subject areas

  • Analysis
  • Signal Processing
  • Computer Science Applications
  • Control and Optimization

Cite this

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The Quantum Faedo-Galerkin Equation : Evolution Operator and Time Discretization. / Jerome, Joseph W.

In: Numerical Functional Analysis and Optimization, Vol. 38, No. 5, 04.05.2017, p. 590-601.

Research output: Contribution to journalArticle

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