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

Power Dissipated in a Circuit: Problem Solving01:15

Power Dissipated in a Circuit: Problem Solving

1.6K
The equivalent resistance of a combination of resistors depends on their values and how they are connected.
The simplest combinations of resistors are series and parallel connections. In a series circuit, the first resistor's output current flows into the second resistor's input; therefore, each resistor's current is the same. Thus, the equivalent resistance is the algebraic sum of the resistances. The current through the circuit can be found from Ohm's law and is equal to the...
1.6K
The Mean Value Theorem01:26

The Mean Value Theorem

76
The Mean Value Theorem establishes a fundamental connection between the overall change in a quantity and its change at a specific instant. It formalizes the idea that average change over an interval must be reflected by instantaneous change at some point within that interval. When a function behaves smoothly across a range, the theorem guarantees that this connection always exists.This relationship is captured mathematically by the Mean Value Theorem, as stated below.The meaning of this result...
76
Superposition Theorem01:18

Superposition Theorem

1.5K
The superposition principle is a fundamental concept stating that in a linear circuit, the voltage across (or current through) an element can be determined by summing the individual contributions of each independent source acting in isolation. When dealing with linear circuits containing multiple independent sources, this principle serves as a valuable tool for analysis. To apply the superposition principle effectively, one should focus on a single independent source at a time while...
1.5K
Norton's Theorem01:14

Norton's Theorem

1.5K
Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the one depicted...
1.5K
Parseval's Theorem01:18

Parseval's Theorem

1.2K
Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...
1.2K
Sampling Theorem01:15

Sampling Theorem

1.4K
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
1.4K

You might also read

Related Articles

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

Sort by
Same author

Observation of the Einstein-de Haas effect in a Bose-Einstein condensate.

Science (New York, N.Y.)·2026
Same author

Dissipative Superfluidity in a Molecular Bose-Einstein Condensate.

Physical review letters·2025
Same author

Noise balance and stationary distribution of stochastic gradient descent.

Physical review. E·2025
Same author

Universal Upper Bound on Ergotropy and No-Go Theorem by the Eigenstate Thermalization Hypothesis.

Physical review letters·2025
Same author

Pink-noise dynamics in an evolutionary game on a regular graph.

Physical review. E·2024
Same author

Experimental Observation of the Yang-Lee Quantum Criticality in Open Quantum Systems.

Physical review letters·2024

Related Experiment Video

Updated: Feb 14, 2026

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
07:42

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

Published on: December 15, 2021

3.6K

Out-of-time-order fluctuation-dissipation theorem.

Naoto Tsuji1, Tomohiro Shitara2, Masahito Ueda1,2

  • 1RIKEN Center for Emergent Matter Science (CEMS), Wako 351-0198, Japan.

Physical Review. E
|February 17, 2018
PubMed
Summary

We introduce bipartite out-of-time-ordered correlators (OTOCs) to generalize fluctuation-dissipation theorems in quantum systems. This reveals a universal link between quantum chaos and nonlinear response involving time-reversed processes.

More Related Videos

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

25.0K
Dissipative Microgravimetry to Study the Binding Dynamics of the Phospholipid Binding Protein Annexin A2 to Solid-supported Lipid Bilayers Using a Quartz Resonator
07:11

Dissipative Microgravimetry to Study the Binding Dynamics of the Phospholipid Binding Protein Annexin A2 to Solid-supported Lipid Bilayers Using a Quartz Resonator

Published on: November 1, 2018

7.4K

Related Experiment Videos

Last Updated: Feb 14, 2026

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
07:42

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

Published on: December 15, 2021

3.6K
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

25.0K
Dissipative Microgravimetry to Study the Binding Dynamics of the Phospholipid Binding Protein Annexin A2 to Solid-supported Lipid Bilayers Using a Quartz Resonator
07:11

Dissipative Microgravimetry to Study the Binding Dynamics of the Phospholipid Binding Protein Annexin A2 to Solid-supported Lipid Bilayers Using a Quartz Resonator

Published on: November 1, 2018

7.4K

Area of Science:

  • Quantum Mechanics
  • Statistical Mechanics
  • Condensed Matter Physics

Background:

  • Out-of-time-ordered correlators (OTOCs) are crucial for understanding quantum chaos.
  • Traditional fluctuation-dissipation theorems describe equilibrium systems.
  • Generalizing these concepts is key to exploring complex quantum dynamics.

Purpose of the Study:

  • To generalize the fluctuation-dissipation theorem for quantum systems in thermal equilibrium.
  • To introduce and analyze bipartite OTOCs.
  • To establish a universal relation between quantum chaos and nonlinear response.

Main Methods:

  • Development of a modified statistical average for bipartite OTOCs.
  • Quantification of differences between bipartite and physical OTOCs using Wigner-Yanase skew information.
  • Analysis of nonlinear-response functions involving time-reversed processes.

Main Results:

  • A generalized fluctuation-dissipation theorem for bipartite OTOCs is proven.
  • A universal relationship is established between quantum chaotic behavior and a specific nonlinear-response function.
  • The theorem is shown to be generalizable to higher-order n-partite OTOCs and generalized covariance.

Conclusions:

  • Bipartite OTOCs offer a new framework for fluctuation-dissipation relations in quantum systems.
  • The findings provide insights into the interplay of quantum fluctuations, chaos, and response functions.
  • The generalization to n-partite OTOCs broadens the applicability of the theorem.