Correlation Function and Generalized Master Equation of Arbitrary Age

Abstract

We study a two-state statistical process with a non-Poisson distribution of sojourn times. In accordance with earlier work, we find that this process is characterized by aging and we study three different ways to define the correlation function of arbitrary age of the corresponding dichotomous fluctuation. These three methods yield exact expressions, thus coinciding with the recent result by Godreche and Luck J. Stat. Phys. 104, 489 (2001). Actually, non-Poisson statistics yields infinite memory at the probability level, thereby breaking any form of Markovian approximation, including the one adopted herein, to find an approximated analytical formula. For this reason, we check the accuracy of this approximated formula by comparing it with the numerical treatment of the second of the three exact expressions. We find that, although not exact, a simple analytical expression for the correlation function of arbitrary age is very accurate. We establish a connection between the correlation function and a generalized master equation of the same age. Thus this formalism, related to models used in glassy materials, allows us to illustrate an approach to the statistical treatment of blinking quantum dots, bypassing the limitations of the conventional Liouville treatment.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 2005
Accession Number
ADA434920

Entities

People

  • Angelo Rosa
  • Bruce J. West
  • Gerardo Aquino
  • Luigi Palatella
  • Paolo Allegrini
  • Paolo Grigolini

Organizations

  • University of North Texas

Tags

DTIC Thesaurus Topics

  • Absorption Spectra
  • Accuracy
  • Equations
  • Glass Transition Temperature
  • Intervals
  • Liouville Equation
  • Materials
  • Military Research
  • Observation
  • Physics
  • Probability
  • Quantum Dots
  • Statistical Mechanics
  • Statistical Processes
  • Statistics
  • Time Intervals
  • Transition Temperature

Fields of Study

  • Mathematics
  • Physics

Readers

  • Calculus or Mathematical Analysis
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.

Technology Areas

  • Quantum Computing