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May 17, 2026Journal of Applied Physics1 citations

A brief pedagogic review of frequency-dependent Johnson Nyquist noise

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PSPabitra N. Sen

Key Points

  • The aim is to derive the Johnson–Nyquist formula and explore frequency-dependent noise in various circuit configurations.
  • Presented a derivation of the Johnson–Nyquist formula using linear response theory.
  • Defined spectral densities and measurement bandwidth according to Nyquist's original formulation.
  • Analyzed voltage fluctuations in pure resistors, series and parallel RC circuits, and series LCR circuits.
  • Demonstrated that pure resistors generate frequency-independent (white) noise.
  • Revealed that circuits with reactive elements exhibit frequency-dependent colored noise.
  • Explained the physical origin of frequency dependence through effective resistance and current redistribution.

Abstract

We present a pedagogical and self-contained derivation of Johnson–Nyquist formula that relates the voltage fluctuations due to the thermal noise to the impedance in linear electrical circuits using linear response theory. Spectral densities and measurement bandwidth are carefully defined following Nyquist’s original formulation. Explicit expressions are derived for voltage fluctuations across a resistor in R, RC (series and parallel), and LCR circuits. Reactive elements are shown to shape but not generate noise, producing frequency-dependent Johnson–Nyquist relations governed by circuit susceptibility. We demonstrate that while pure resistors exhibit frequency-independent (white) Johnson–Nyquist noise, circuits containing reactive elements can display frequency-dependent colored noise spectra. Specifically, we analyze pure resistors, series RC circuits, parallel RC circuits, and series LCR resonators, showing how circuit topology determines whether the noise spectrum is white or colored. We explain the physical origin of frequency dependence through the concept of effective resistance and current redistribution at different frequencies. Analogies with the generalized Langevin equation are explained.

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Cite This Study

Pabitra N. Sen (2026) studied this question.

synapsesocial.com/papers/6a095c037880e6d24efe1e8fhttps://doi.org/10.1063/5.0332785
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