theorem

fluctuation-dissipation theorem

The fluctuation-dissipation theorem relates the thermal fluctuations in a system to its response to external perturbations, connecting noise and dissipation.
32 related articles · 6 formulas · 1 who worked here

Description

The theorem was rigorously formulated by Herbert Callen and Theodore Welton in 1951 on the basis of quantum statistical mechanics. However, its origins go back to Albert Einstein's 1905 work on Brownian motion, where he related the mobility of a particle (dissipative response) to its diffusion (fluctuations). Even earlier, in 1928, Harry Nyquist derived a formula for noise in resistors: mean square voltage ⟨V²⟩ = 4k_B T R Δf, where Δf is the bandwidth. The Callen–Welton theorem generalizes this connection to any systems near equilibrium: the spectrum of spontaneous fluctuations is proportional to the imaginary part of the susceptibility.

History

Albert Einstein in 1905 established a relation between the diffusion coefficient and the mobility of a Brownian particle, which became the first example of a fluctuation-dissipation connection. Harry Nyquist in 1928 experimentally and theoretically described thermal noise in resistors. The general quantum version was obtained by Herbert Callen and Theodore Welton in 1951 using linear response theory. Subsequently, Ryogo Kubo developed the Green's function formalism for non-equilibrium processes, strengthening the theorem's foundation.

How it works

FDT is widely used in condensed matter physics to calculate transport coefficients (electrical conductivity, viscosity) from data on equilibrium fluctuations. Limit of applicability: the system must be in thermodynamic equilibrium (or close to it) and the response must be linear. For significantly non-equilibrium systems (e.g., active matter), generalizations of FDT are complex and not always universal.

In practice

The theorem explains noise in electrical circuits and helps design low-noise electronics, such as amplifiers for radio telescopes.

Fun fact

Electrical noise set a sensitivity limit for radio receivers: even an ideal amplifier cannot be quieter than thermal noise, which is critical for communication with distant spacecraft.

Concept graph →

Formulas

$$\frac{dP}{dT} = \frac{\Delta S}{\Delta V}$$
Relates pressure and temperature changes along a phase boundary.
What is in the formula
Pvariablepressure — pressure pascal
Tvariabletemperature — temperature kelvin
ΔSvariableentropy change during phase transition — entropy joule per kelvin
ΔVvariablevolume change during phase transition — volume cubic metre
d/dToperatorderivative with respect to temperature — derivative
\frac{dp}{dt}=\frac{δs}{δv} · 2606.25742
$$\langle \eta_i(t) \eta_j(t') \rangle = 2 \gamma k_B T \delta_{ij} \delta(t-t')$$
Relates noise intensity to temperature and dissipation in equilibrium.
What is in the formula
η_i(t)variablenoise term at time t for component i — noise newton
η_j(t')variablenoise term at time t' for component j — noise newton
Tvariabletemperature — temperature kelvin
γvariabledissipation coefficient — dissipation coefficient kilogram per second
δ_ijvariableKronecker delta — kronecker delta
δ(t-t')variableDirac delta function — dirac delta function per second
k_Bconstantrelates energy to temperature — boltzmann constant = 1.380649e-23 joule per kelvin
⟨...⟩operatoraverage over many realizations — ensemble average
\langle\eta_i(t)\eta_j(t')\rangle=2γ_ik_bt_iδ_{ij}δ(t-t') · 2606.29765
s_j(ω)=|χ(ω)|^2n_{{ir}}(ω) · 2607.04115
$$C(\omega,\omega') = \int dk \, H(k;\omega) H^*(k;\omega') P(k)$$
Correlation of fluctuations relates to the power spectrum.
What is in the formula
C(\omega,\omega')variableCorrelation function of fluctuations at two frequencies — correlation function
H(k;\omega)variableTransfer function or response kernel at wavevector k and frequency omega — transfer function
H^*(k;\omega')variableComplex conjugate of the transfer function at frequency omega' — transfer function
P(k)variablePower spectrum of the underlying fluctuations — power spectrum
\int dkoperatorIntegration over all wavevectors — integral operator
c(w,w')=\langleδf(w)δf^*(w')\rangle=\frac{1}{2π}\int_0^\inftykdkh(k;w)h^*(k;w')p_\kappa(k) · 2607.11887
$$\Gamma_{12}(u,v) = \iint I(l,m) e^{-2\pi i (ul+vm)} dl dm$$
The correlation function is the Fourier transform of the intensity distribution.
What is in the formula
Γ₁₂variableMutual coherence function — mutual coherence function watt per metre squared
uvariableSpatial frequency in x-direction — spatial frequency cycle per metre
vvariableSpatial frequency in y-direction — spatial frequency cycle per metre
IvariableIntensity distribution over source — intensity watt per metre squared
lvariableDirection cosine in x — direction cosine
mvariableDirection cosine in y — direction cosine
∬operatorIntegration over the source plane — double integral
\gamma_{12}(u,v)=\iinti(l,m)e^{-2πi(ul+vm)}dldm · 2607.14928
$$L = 4\pi D_L^2 F \cdot 10^{0.4 k(\lambda) E(B-V)}$$
Relates observed flux to intrinsic luminosity accounting for distance and extinction.
What is in the formula
LvariableIntrinsic luminosity — luminosity watt
D_LvariableLuminosity distance — photometric distance metre
FvariableObserved flux — flux watt per metre squared
k(λ)variableExtinction curve at wavelength λ — extinction curve
E(B-V)variableColor excess between B and V bands — color excess
πconstantRatio of a circle's circumference to its diameter — pi = 3.14159
l_{{[oiii]}}=4πd_l^2f_{{[oiii]}}*10^{0.4k(λ5007)e(b-v)} · 2606.24684
$$\omega_{\mathrm{b},z}^2 = -\sigma_{z0} \frac{\partial \omega_z^2}{\partial \sigma_{z0}}$$
Connects axial breathing mode frequency to trap frequency derivative.
What is in the formula
\omega_{\mathrm{b},zvariableaxial breathing mode frequency — angular frequency radian per second
\sigma_{z0}variableaxial width at equilibrium — length metre
\omega_zvariableaxial trap frequency — angular frequency radian per second
\frac{\partial}{\paroperatorpartial derivative with respect to equilibrium axial width — partial derivative
ω_{{b},z}^2=-σ_{z0}\frac{\partialω_z^2}{\partialσ_{z0}} · 2606.29370

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