The Fluctuation-dissipation theorem for mobility requires
Comparison with the stated noise amplitude gives
This choice makes the stationary Fokker-Planck equation have the Boltzmann distribution proportional to .
Equation (1) is Underdamped Langevin dynamics for a unit-mass particle in potential , coupled to a heat bath of temperature . The coefficient is viscous friction, and the noise amplitude is fixed by the Fluctuation-dissipation theorem. Its Fokker-Planck equation is
For , velocity relaxes rapidly, so formally
Thus the overdamped Langevin dynamics is
and its density obeys
Thermal molecular motion causes the coarse droplet radius to fluctuate as well as drift down , so its effective equation must be an overdamped Langevin dynamics. With , detailed balance with equilibrium density proportional to imposes the Fluctuation-dissipation theorem. The Model A fluctuation-dissipation relation gives
The factor of mobility ensures that the diffusion in and the dissipative drift have the same equilibrium Gibbs distribution.
The Fluctuation-dissipation theorem in this convention reads
In the classical limit , this becomes
The inverse temporal Fourier transform is therefore
For a damped ferromagnetic spin wave, shifting both poles into the lower half-plane preserves causality:
Its spectral function is
The classical Fluctuation-dissipation theorem then gives
Hence the zero-frequency static structure factor is
which has the stated proportionality after absorbing the normalization .
Johnson-Nyquist noise is equilibrium electrical fluctuation caused by thermal agitation of charge carriers. A resistor can generate a fluctuating terminal voltage even when its mean current is zero. In the classical frequency range , the Fluctuation-dissipation theorem relates this noise to dissipative resistance. The one-sided voltage power spectral density of an unloaded resistor is
Equivalently its short-circuit current spectrum is . Over a flat bandwidth the rms voltage is . A real measurement instead integrates over positive frequency, with loading and the filter's effective noise bandwidth included. A flat spectrum does not imply an infinite physically measurable variance; the circuit and the quantum high-frequency regime limit the ideal white-noise model.
Cooling or narrowing the accepted bandwidth reduces thermal noise. Reducing resistance lowers its open-circuit voltage noise but raises its short-circuit current noise, so the appropriate choice depends on source impedance and amplifier loading. Thermal agitation is not a fluctuating externally applied voltage that can be removed by perfect shielding alone.
Shot noise arises from discrete transfer events. In the simplest shot noise counting model, equal charges arrive independently at constant rate . A gate of duration contains a Poisson number , with mean and variance . Therefore mean current is , and the averaged-current variance is . The corresponding one-sided low-frequency spectrum is
for a flat accepted bandwidth. Electron current has . Vacuum emission or photodetection can approximate independent arrivals; correlations in a conductor can suppress or enhance the fluctuations. Discreteness by itself does not guarantee Poisson statistics.
For a fixed mean current the ideal shot-noise formula is not proportional to temperature, whereas Johnson noise is. Increasing current raises absolute shot noise but lowers its fractional size, since . Both can appear approximately white within a useful frequency band, and independent noise powers add after referring them to a common measurement point. Their spectra must use the same convention: two-sided densities are half these one-sided values. A real low-current experiment can also contain amplifier noise, low-frequency drift and correlated transfer noise, so a mean current or resistance alone does not specify its complete noise budget.