Related Experiment Video
Updated: Jun 22, 2026

08:39
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
Published on: January 28, 2019
Fourier's law: insight from a simple derivation
1Department of Physics, University of California-San Diego, La Jolla, California 92093-0319, USA.
Summary
Fourier's law emerges in quantum systems through a thermal length scale, transitioning from ballistic to diffusive behavior. Dephasing drives this transition, mirroring Ohm's law in conductors.
Area of Science:
- Quantum thermodynamics
- Condensed matter physics
- Statistical mechanics
Background:
- Fourier's law describes heat conduction in classical systems.
- Quantum systems may exhibit ballistic transport, violating Fourier's law.
- Understanding thermal transport in low-dimensional quantum systems is crucial.
Purpose of the Study:
- Investigate the onset of Fourier's law in a 1D quantum system.
- Identify the mechanism driving the transition from ballistic to diffusive heat transport.
- Explore the role of dephasing in establishing classical thermal transport laws.
Main Methods:
- Analytical investigation of a model system.
- Weakly coupled quantum systems connected to thermal baths.
- Analysis of thermal length scale and local temperature profiles.
Main Results:
- A characteristic thermal length scale governs the crossover.
- This length scale correlates with the local temperature distribution.
- Dephasing induces classical Fourier's law behavior.
Conclusions:
- The transition to Fourier's law in quantum systems is well-defined by a thermal length scale.
- Dephasing is a key factor in realizing classical heat conduction laws in quantum regimes.
- The findings offer insights into thermal transport analogous to electrical transport (Ohm's law).
More Related Videos
Related Concept Videos
Trigonometric Fourier series
Fourier series is a foundational mathematical technique that decomposes periodic functions into an infinite series of sinusoidal harmonics. This method enables the representation of complex periodic signals as sums of simple sine and cosine functions, facilitating their analysis and interpretation in various fields, including signal processing, acoustics, and electrical engineering.
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
Parseval's Theorem for Fourier transform
Parseval's theorem is a fundamental principle in signal processing that enables the calculation of a signal's energy in either the time domain or the frequency domain. This theorem is pivotal in demonstrating energy conservation between these two domains, ensuring that the computed energy value remains consistent regardless of the domain of analysis.
To understand Parseval's theorem, it is essential to first comprehend how signal energy is typically calculated. When considering a signal's...
To understand Parseval's theorem, it is essential to first comprehend how signal energy is typically calculated. When considering a signal's...
Properties of Fourier series I
The Fourier series is a powerful tool in signal processing and communications, allowing periodic signals to be expressed as sums of sine and cosine functions. A foundational property of the Fourier series is linearity. If we consider two periodic signals, their linear combination results in a new signal whose Fourier coefficients are simply the corresponding linear combinations of the original signals' coefficients. This property is crucial in applications like frequency modulation (FM) radio,...
Exponential Fourier series
In audio signal processing, the exponential Fourier series plays a crucial role in sound synthesis, allowing complex sounds to be broken down into simpler sinusoidal components. This decomposition process is fundamental in analyzing and reconstructing musical notes and other audio signals. The exponential Fourier series expresses periodic signals as the sum of complex exponentials at both positive and negative harmonic frequencies, providing a powerful tool for signal analysis.
Euler's identity...
Euler's identity...
Basic signals of Fourier Transform
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at zero. It...
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at zero. It...
Parseval's Theorem
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...
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...

