Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Applications of Integration to Probability Density Functions01:27

Applications of Integration to Probability Density Functions

Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF), which...
Improper Integrals: Discontinuous Integrands01:28

Improper Integrals: Discontinuous Integrands

Evaluating Areas Under Curves with DiscontinuitiesA definite integral is considered improper when the integrand is discontinuous at one of the limits of integration. This occurs when the function is undefined or becomes infinite at an endpoint, making the corresponding region under the curve unbounded. Such behavior is commonly associated with vertical asymptotes at the boundary of the interval. To properly define and evaluate these integrals, a limiting process is used to determine whether a...
Improper Integrals: Infinite Intervals01:29

Improper Integrals: Infinite Intervals

An integral is classified as improper due to an infinite interval when at least one of its limits of integration extends to positive or negative infinity. In such cases, the region under the curve is unbounded, and standard techniques for evaluating definite integrals are not directly applicable. Instead, the improper integral is defined through a limiting process that allows one to determine whether the accumulated area remains finite despite the infinite domain.Application to Exponential...
Double Integrals Over General Regions01:18

Double Integrals Over General Regions

Double integrals are often used to measure quantities distributed across two-dimensional regions, such as rainfall over a lake, heat across a metal plate, or population density over land. In many practical situations, the region of interest does not have straight boundaries and cannot be described conveniently as a rectangle. Instead, the region may have curved or irregular edges. To evaluate integrals over such domains, the region is embedded inside a larger rectangular region where...
Fundamental Theorem of Calculus I01:23

Fundamental Theorem of Calculus I

Solving problems involving definite integrals requires a systematic approach that ensures clarity and efficiency. The first step is understanding the problem by identifying the calculated quantity, whether it involves accumulation, area, or a physical concept like force or probability. It is essential to recognize given conditions, such as the range of integration and any constraints that may affect the solution. Before computing, key properties of definite integrals should be analyzed to...
Integrals of Vector Functions01:23

Integrals of Vector Functions

Vector-valued functions provide a convenient framework for describing motion in space when both magnitude and direction are important. A drone’s velocity at any instant has a direction and a speed, and as the drone moves, both can change. A vector-valued function captures this behavior by assigning to each time a vector whose components are real-valued functions. Each component represents motion along a particular axis in space. Such functions can describe motion in either two-dimensional or...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spectral fluctuations of billiards with mixed dynamics: from time series to superstatistics.

Physical review. E, Statistical, nonlinear, and soft matter physics·2008
Same author

Modeling highway-traffic headway distributions using superstatistics.

Physical review. E, Statistical, nonlinear, and soft matter physics·2008
Same author

Superstatistical random-matrix-theory approach to transition intensities in mixed systems.

Physical review. E, Statistical, nonlinear, and soft matter physics·2006
Same author

Random matrix theory within superstatistics.

Physical review. E, Statistical, nonlinear, and soft matter physics·2006
Same author

Nonextensive random matrix theory approach to mixed regular-chaotic dynamics.

Physical review. E, Statistical, nonlinear, and soft matter physics·2005
Same author

Phenomenological model for symmetry breaking in a chaotic system.

Physical review. E, Statistical, nonlinear, and soft matter physics·2004

Related Experiment Video

Updated: Jun 21, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Level statistics for nearly integrable systems.

A Y Abul-Magd1

  • 1Faculty of Engineering Sciences, Sinai University, El-Arish, Egypt.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 8, 2009
PubMed
Summary

We present a new model for quantum systems transitioning from order to chaos, using random matrix ensembles to analyze energy levels. This approach accurately describes the spectral properties of a microwave billiard.

Area of Science:

  • Quantum chaos
  • Statistical spectroscopy
  • Random matrix theory

Background:

  • Understanding the transition from integrable to chaotic behavior in quantum systems is a fundamental challenge.
  • Existing models often struggle to capture the complex spectral properties during this transition.

Purpose of the Study:

  • To develop a theoretical framework for analyzing quantum systems in the initial stages of the integrability-chaos transition.
  • To provide analytical expressions for spectral characteristics like level spacing and number variance.

Main Methods:

  • Modeling quantum system level spectra as superpositions of independent sequences.
  • Employing random matrix ensembles to represent individual spectral sequences.
  • Deriving analytical formulas for level spacing distribution and level number variance.

More Related Videos

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Related Experiment Videos

Last Updated: Jun 21, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Main Results:

  • Obtained analytical expressions for key spectral distribution and variance measures.
  • Successfully applied these expressions to analyze the resonance spectrum of a microwave billiard.
  • Demonstrated the model's efficacy in describing systems near the integrability-chaos boundary.

Conclusions:

  • The proposed superposition model provides an effective description of quantum systems in the initial phase of the integrability-chaos transition.
  • Random matrix ensembles are suitable for modeling individual spectral sequences within this transition.
  • The derived analytical expressions offer a powerful tool for spectral analysis in experimental systems like microwave billiards.