Harry Nyquist Created 2026-10-18 Updated 2026-11-05
Harry Nyquist was an electrical engineer whose work connected communication engineering with physical and mathematical limits. His 1928 theory explained thermal electrical fluctuations using thermodynamics and statistical mechanics, agreeing with John Bertrand Johnson's measurements.[ref]
In the classical regime , an approximately constant electrical resistance at temperature produces an open-circuit voltage expected value square over a one-sided frequency band of width . Here is the Boltzmann constant. The formula connects Johnson-Nyquist noise with both the physical conductor and the signal bandwidth through which it is observed.[ref]
Thermal Agitation of Electric Charge in Conductors by Harry Nyquist Created 2026-10-18 Updated 2026-11-05
Thermal electrical noise 2026-10-18
Thermal electrical noise is the fluctuating electric potential difference or electric current produced by thermal fluctuations in a dissipative electrical circuit, even without an applied voltage. A resistor at thermal equilibrium is both a source of noise and a sink for electrical energy. Its electrical resistance describes the dissipation, and its absolute temperature sets the scale of the fluctuations. This connects a practical limit on signal-to-noise ratio to statistical mechanics: a warm, unbiased resistor is not electrically silent.
John Bertrand Johnson measured the effect using a vacuum-tube amplifier and thermocouple; his 1928 paper reported agreement with the Boltzmann constant. Harry Nyquist's companion paper calculated the effect from thermodynamics and statistical mechanics.[ref]
Thermal Agitation of Electricity in Conductors by John Bertrand Johnson. Johnson, Thermal Agitation of Electricity in Conductors, Physical Review 32, 97–109 (1928), abstract: amplifier and thermocouple measurement
[ref]Thermal Agitation of Electric Charge in Conductors by Harry Nyquist. Nyquist, Thermal Agitation of Electric Charge in Conductors, Physical Review 32, 110–113 (1928), abstract: thermodynamic and statistical calculation