Bob Cordell's Power amplifier book

Yes it would. Zero times infinity is undefined and can assume any value.

That is when you have the zero to begin with. Once you introduce a non-zero value at a given time point, you'll introduce a defined inifity factor into the FB system (output). You will overshoot to either + or - infinite in zero time and never reach an output of zero any more. Since +infinity / (Rfb/Rin) is still +infinity, closed loop gain stops having a meaning. Try to imagine an oscilation between + and - infinity in zero time. Now that sounds wonky, like a singularity. Does your static formula take this into account?

Or is my reasoning off ;)

Edit: yes it was, with infinite gain an error can never occur and will always be zero.
 
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I agree that since infinite gain is only possible in theory that it is a bit silly to argue about it. But since we are dealing with behaviours that we model as functions of complex numbers, it seems reasonable to use the theories of complex analysis which allow for zero times infinity to assume any value in the complex domain. See Infinity - Wikipedia, the free encyclopedia

No need to complicate things, the above limit definition covers the complex case as well, since the |...| operator is in general the "norm" (or "metric") in any vector space, in particular for RxR or C (x^2+y^2, since the complex vector space and the vector space of ordered pairs of real numbers are isomorphic).
 
No. You are wrong.

Take a differential amplifier with gain G(s).

Put it in a 100% negative feedback loop.

Closed-loop gain is given by G(s)/[1+G(s)] and the error signal is given by the input times 1/[1+G(s)].

Let G(s) tend to infinity. In the limit, i.e. G(s) = infinity, closed-loop gain is unity and the error signal is zero. Fact. In this case, what zero (the error signal) times infinity (the differential gain) is equal to depends upon the input signal, i.e. zero times infinity = the input signal.

That s the most accurate description , at least for me.
 
No. You are wrong.

Take a differential amplifier with gain G(s).

Put it in a 100% negative feedback loop.

Closed-loop gain is given by G(s)/[1+G(s)] and the error signal is given by the input times 1/[1+G(s)].

Let G(s) tend to infinity. In the limit, i.e. G(s) = infinity, closed-loop gain is unity and the error signal is zero. Fact. In this case, what zero (the error signal) times infinity (the differential gain) is equal to depends upon the input signal, i.e. zero times infinity = the input signal.


I disagree. That is the trouble with playing with rudimentary algebraic expressions: an amplifier with infinite gain and zero error voltage would nevertheless saturate on its own internal noise.

Even assuming this isn't the case and the amplifier is miraculously noise free, with zero error the amplifier simply wouldn't work, viz. there is no feedback.
 
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I disagree. That is the trouble with playing with rudimentary algebraic expressions: an amplifier with infinite gain and zero error voltage would nevertheless saturate on its own internal noise.

Have you trouble understanding that the ratio of two quantities
that approach both infinity as close as one wants will converge
to a finite number assuming both quantities are approaching
infinity at the same rate.?.

Hence an amp with infinite gain will work , mathematicaly.
 
yes the internal saturation with physically limited supplies, devices makes considering noise helpful in avoiding having to argue over "infinite gain" theory

considering noise can for instance show the futility of pursuing say 200 dB excess loop gain

people have shown Bode Integrals can be interpreted as Information Theoretic relations




interpreting complex numbers, relations can involve vigorous wrigglers all over the place

I have a problem with an oversimplified identification of complex numbers with real valued 2-D vectors - a process that requires adding conjugation rules – usually poorly motivated on 1st encounters

I like Hestenes “Geometric Algebra” - real valued Clifford algebra with geometric and operational interpretation of the elements

then a view of complex numbers is that they are isomorphic with the even sub-algebra of 2-D “Geometric Algebra” - they are the “Rotors/Spinors” of 2-D

and complex numbers “operate” on (real valued) vectors to reflect/rotate, scale them by multiplication

complex numbers are the result of multiplying/dividing vectors

complex numbers may be mapped to real 2-D vectors by multiplying by a vector basis element

but they are algebraically distinct
 
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But enough of this: there is no such thing as an amplifier with infinite gain, so why are we debating this? :)

Yes, I think we can move on.

Talking of which, Monte-Carlo was mentioned earlier.

There is indeed an example in the examples folder of LTspice, but this uses the built-in "mc" function. For some reason, this uses a uniform distribution for producing its random numbers. At least the schematic file notes that users may wish to use Gaussian instead.

A really good guide to Monte-Carlo in LTspice is provided on a blog here:

K6JCA: Monte Carlo and Worst-Case Circuit Analysis using LTSpice

Be sure to read the comments, in particular the one starting "Thanks for this blog post, I found it very useful. However, there are a couple of things that concern me:" (contributed by yours truly) and those that follow.

I have not had time to enhance my Monte-Carlo implementation to account for manufacturers who "make" e.g. their 0.1% parts by removing them from the production line, leaving 1% parts with a 0.1% "hole" in the middle. (Not all manufacturers do this but good luck getting any manufacturer to tell you if they do or not.) Should be a fairly simple alteration to make.

For those that are interested, my example .asc files for Monte-Carlo and worst-case simulation are attached. Strictly speaking, a Monte-Carlo simulation should produce a histogram of a particular circuit measure/parameter. In the example attached, a .measure command is used. When the simulation is finished, the results of the .measure can be found in the "error" log and these can then be plotted with a tool such as Excel.
 

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Harrydymond,
Understanding that most high precision devices like a resistor are selected, automatically I would think most often, from a wider variance production process I am trying to understand your dislike of the process? Since the larger groups will have a wider variance and therefor normally would be used where that wider variance is allowed why would it matter that the closest center precision devices have been removed? If the wider selection matches requirements is your dislike because you can no longer purchase the wider tolerance parts and find the close tolerance parts?