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

Frequency Response of a Circuit01:20

Frequency Response of a Circuit

439
Inductive circuits present intriguing challenges in electrical engineering, particularly during the transition from the time domain to the frequency domain. This transformation involves converting inductors into impedances and utilizing phasor representation.
The transfer function is pivotal in characterizing how these circuits react to various frequencies, facilitating a profound understanding of their behavior. An essential parameter is the time constant, signifying the...
439
Network Function of a Circuit01:25

Network Function of a Circuit

442
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
442
Frequency Response of BJT01:24

Frequency Response of BJT

1.1K
The frequency response of a Bipolar Junction Transistor (BJT) in a common-emitter configuration is critical to its functionality, especially in applications involving amplification of alternating current (AC) signals. This response can be analyzed through low-frequency and high-frequency equivalent circuits, considering various internal parameters and external conditions.
Low-Frequency Response: At low frequencies, the behavior of the BJT is determined by its DC bias point, which is set by the...
1.1K
Temperature Dependence on Reaction Rate02:55

Temperature Dependence on Reaction Rate

85.1K
The Collision Theory
Atoms, molecules, or ions must collide before they can react with each other. Atoms must be close together to form chemical bonds. This premise is the basis for a theory that explains many observations regarding chemical kinetics, including factors affecting reaction rates.
The collision theory is based on the postulates that (i) the reaction rate is proportional to the rate of reactant collisions, (ii) the reacting species collide in an orientation allowing contact between...
85.1K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

198
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
198
Transient and Steady-state Response01:24

Transient and Steady-state Response

335
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
335

You might also read

Related Articles

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

Sort by
Same author

Phase Switch Driven by the Hidden Half-Ice, Half-Fire State in a Ferrimagnet.

Physical review letters·2025
Same author

Dual Orbital Degeneracy Lifting in a Strongly Correlated Electron System.

Physical review letters·2021
Same author

Topological Phase Transition and Phonon-Space Dirac Topology Surfaces in ZrTe_{5}.

Physical review letters·2021
Same author

Simulating Exotic Phases of Matter with Bond-Directed Interactions with Arrays of Majorana-Cooper Pair Boxes.

Physical review letters·2020
Same author

Extended Crossover from a Fermi Liquid to a Quasiantiferromagnet in the Half-Filled 2D Hubbard Model.

Physical review letters·2020
Same author

Quantum Liquid with Strong Orbital Fluctuations: The Case of a Pyroxene Family.

Physical review letters·2019

Related Experiment Video

Updated: Oct 27, 2025

Characterization of Full Set Material Constants and Their Temperature Dependence for Piezoelectric Materials Using Resonant Ultrasound Spectroscopy
07:44

Characterization of Full Set Material Constants and Their Temperature Dependence for Piezoelectric Materials Using Resonant Ultrasound Spectroscopy

Published on: April 27, 2016

9.7K

Real-Frequency Response Functions at Finite Temperature.

I S Tupitsyn1, A M Tsvelik2, R M Konik2

  • 1Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003, USA.

Physical Review Letters
|July 23, 2021
PubMed
Summary
This summary is machine-generated.

The diagrammatic Monte Carlo technique now computes finite-temperature response functions directly on the real-frequency axis. This method avoids numerical analytic continuation, enabling accurate study of complex spectral densities in interacting fermion systems.

More Related Videos

Characterization of Thermal Transport in One-dimensional Solid Materials
05:20

Characterization of Thermal Transport in One-dimensional Solid Materials

Published on: January 26, 2014

17.8K
Fabrication and Characterization of Superconducting Resonators
10:26

Fabrication and Characterization of Superconducting Resonators

Published on: May 21, 2016

11.6K

Related Experiment Videos

Last Updated: Oct 27, 2025

Characterization of Full Set Material Constants and Their Temperature Dependence for Piezoelectric Materials Using Resonant Ultrasound Spectroscopy
07:44

Characterization of Full Set Material Constants and Their Temperature Dependence for Piezoelectric Materials Using Resonant Ultrasound Spectroscopy

Published on: April 27, 2016

9.7K
Characterization of Thermal Transport in One-dimensional Solid Materials
05:20

Characterization of Thermal Transport in One-dimensional Solid Materials

Published on: January 26, 2014

17.8K
Fabrication and Characterization of Superconducting Resonators
10:26

Fabrication and Characterization of Superconducting Resonators

Published on: May 21, 2016

11.6K

Area of Science:

  • Condensed Matter Physics
  • Computational Physics
  • Quantum Field Theory

Background:

  • Previous work established theoretical frameworks for interacting fermion systems.
  • Calculating finite-temperature response functions often requires complex numerical methods.
  • Analytic continuation from imaginary to real frequencies presents significant challenges.

Purpose of the Study:

  • To develop a direct method for computing real-frequency response functions.
  • To overcome limitations of numerical analytic continuation in interacting fermion problems.
  • To enable the study of complex spectral densities with controlled accuracy.

Main Methods:

  • Diagrammatic Monte Carlo technique
  • Direct computation on the real-frequency axis
  • Field-theoretical formulation of interacting fermions

Main Results:

  • Successfully computed finite-temperature response functions directly on the real-frequency axis.
  • Eliminated the need for numerical analytic continuation from Matsubara representation.
  • Demonstrated applicability to models with frequency-dependent effective interactions.

Conclusions:

  • The diagrammatic Monte Carlo technique offers a robust approach for real-frequency calculations.
  • This method enhances the study of spectral densities in complex interacting systems.
  • The approach is applicable across various field-theoretical formulations and system actions.