Noise Power Paradox: Explaining Limitations

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SUMMARY

The discussion centers on the limitations of the noise power formula for a resistor in thermal equilibrium, specifically V_{RMS} = \sqrt{4RkT\Delta f}. It concludes that while the formula suggests infinite noise power with infinite bandwidth, this contradicts the finite internal energy of the resistor. The participants identify that the power spectral density (PSD) function, φ = 4RkT, is only valid under certain assumptions, particularly for ideal resistors, and that real resistors exhibit additional factors such as stray capacitance that modify the PSD. The integration of the modified PSD over all frequencies yields a finite result, demonstrating the limitations of the original formula.

PREREQUISITES
  • Understanding of thermal noise and its mathematical representation
  • Familiarity with power spectral density (PSD) concepts
  • Knowledge of resistor behavior in electrical circuits
  • Basic calculus for integration of functions
NEXT STEPS
  • Study the derivation of the power spectral density function for thermal noise
  • Learn about the impact of stray capacitance on resistor behavior
  • Explore the concept of ideal versus real resistors in circuit analysis
  • Investigate the implications of bandwidth limitations on noise measurements
USEFUL FOR

Electrical engineers, physicists, and students studying circuit theory and thermal noise phenomena will benefit from this discussion, particularly those interested in the practical limitations of noise power calculations in resistive components.

The Alchemist
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Homework Statement


Explain why the noise power across a resistor in thermal equilibrium is limited in contradiction to the formula for the noise V_{RMS} = \sqrt{4RkT\Delta f}
which states that if we measure with infinite bandwidth we have infinitely large power


Homework Equations


V_{RMS} = \sqrt{4RkT\Delta f}


The Attempt at a Solution


So the formula states that if a system measures the noise power of a resistor with infinite bandwidth is the noise power is infinitely large. But the noise power cannot exceed the internal energy of the resistor, which is not infinitely large. But I don't know where and why the formula can't hold anymore.

Thanks in advance
 
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Hi The Alchamist, welcome to PF!:smile:

The Alchemist said:
So the formula states that if a system measures the noise power of a resistor with infinite bandwidth is the noise power is infinitely large. But the noise power cannot exceed the internal energy of the resistor, which is not infinitely large. But I don't know where and why the formula can't hold anymore.

Thanks in advance

Hmmm... well, how was the formula derived? What assumptions was the derivations based on?
 
Thanks,

Well the power spectral density function of thermal noise is \phi = 4RkT
So the power is the integral of the power spectral density function over the bandwidth.
W = \int\limits_{bandwidth} \phi \mathrm{d}f = \int_{f_{1}}^{f_{2}}4RkT \mathrm{d}f = 4RkT\Delta f

With \Delta f = f_{2}-f_{1}
This means that
V_{RMS} = \sqrt{W} = \sqrt{4RkT \Delta f}

So probably there is something wrong with the assumption of the boundary condition of the integral that f2 can't go to infinity. But I have no clue why there is such condition it should be possible to take an infinite bandwidth. So maybe the phi is wrong :?. confusing
 
There are certain assumptions that underline the claim that \phi = 4RkT...what are they?
 
Well, the PSD is uniform over an infinite range of frequencies but it is proportional to the temperature of the resistor. What you want is a PSD that is cut-off at a certain frequency to limit the power. But I don't know why the PSD should have such a frequency.
 
The point I'm hinting towards is that the PSD is valid only for an Ideal resistor, something which is inherently unphysical. Real resistors will always possesses some small stray Capacitance. If you call the effective capacitance of the resistor C, the effect of it is to modify the power spectral density to

\phi=\frac{4RkT}{\left(1+(2\pi fRC)^2\right)}

Which you should derive yourself by considering a circuit consisting of an ideal resistor, a capacitor and a noise source...

What happens when you integrate this distribution over all frequencies? Why is \phi=4RkT a good approximation for most frequencies?
 
Ok I put a capacitor parallel to the resistor and derive the new impedance which is indeed
<br /> Z = \frac{R}{\left(1+(2\pi fRC)^2\right)}<br />
So <br /> \phi= 4ZkT = \frac{4RkT}{\left(1+(2\pi fRC)^2\right)}<br />

Integrating over df gives:
<br /> \frac{2kT}{ \pi C} \arctan{2 \pi C f R}<br />
filling in f with limits from 0 to infinity gives:
<br /> \frac{2kT}{ \pi C} \frac{\pi}{2} - 0<br /> = \frac{kT}{C}<br />
which is of course finite with constant temperature.
The idea that phi is a good approximation up to a certain frequency is because the capacitance of the parallel capacitor is very small so the term (2 \pi f R C)^2 is negligible and phi is the "original" phi for the ideal resistor.

That is what I can think of and seems correct,
Thanks
 
Looks good to me!:approve:
 

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