Resistor-capacitor equilibrium noise
ID: resistor-capacitor-equilibrium-noise
Connect one physical resistor across an ideal lossless capacitor , with no applied source and an ideal readout that draws no electric current. Represent the resistor by its noisy Thévenin equivalent. The resulting RC low-pass frequency response gives the stationary capacitor voltage power spectral densityIts mean square follows by the effective noise bandwidth calculation:This is also the equipartition theorem: the mean capacitor energy is . Raising makes the low-frequency spectrum taller and its width narrower in exactly compensating proportions. It changes the equilibration time , not the final variance.
The integral to infinity belongs to the ideal classical model. For a physical electrical circuit, assume thermal equilibrium, linear components with negligible extra dissipation, and a corner far below the frequencies where parasitic effects, frequency-dependent electrical resistance, or invalidate the model; the omitted high-frequency tail must be negligible. A finite-bandwidth instrument measures only part of this variance. Its input capacitance contributes to the total , and its finite input electrical resistance introduces both loading and its own thermal electrical noise.
For and , the predicted equilibrium variance is and the root mean square voltage is . At , and . At , and ; the equilibrium root mean square voltage is identical.
To obtain the growth curve, prepare exactly and connect the resistor at while maintaining its temperature. The RC low-pass filter's causal impulse response is for . Classical ideal white noise with two-sided power spectral density givesThe factor here is the two-sided time-domain noise intensity; the equilibrium spectral integral above used the one-sided . They give the same long-time limit. The variance approaches equilibrium with time constant , although a deterministic initial voltage decays with time constant . If the capacitor already starts in thermal equilibrium, its initial variance supplies the missing exponentially decaying term and the total variance stays constant.
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