Andre said:
Not exactly Gokul, all that I said was that the lack of typical characteristics of positive feedback (persistency) do not support (refute) the positive feedback claim
here.
There is a huge difference between an observation that does not support a hypothesis and an observation that refutes it. I hope you note the difference.
Actually there could be a slight positive feedback, but it's not detectable and it cannot account for the bi-stable seesaw as assumed like this:
http://www.realclimate.org/epica.jpg
First[/URL] of all, your first figure is over a timescale that is 2 orders of magnitude smaller than that of the second figure. There is no reason I've seen from your posts, that one should assume that the loop gain is frequency independent, and it looks to me like you are trying to extract a signal from a region that is so small, that it is dominated by noise. Moreover, if the closed loop gain is indeed large, there may be good reason to believe that it comes with a pretty small bandwidth. Third, why should it be necessary that the system can be modeled using a single feedback loop? There may very well be dozens of different feedback mechanisms, some negative others positive, with different gains, different bandwidths, poles all over the place, all kinds of non-linearity, and who knows what. And finally, there is the question of noise, which I shall come to in the next paragraph.
since a bistable system (flip flop) by positive feedback requires a total gain >=1 in the loop and you will find it rather hard to model a momentary reversal halfway in such an oversteered positive feedback loop.
I don't know what an "oversteered" positive feedback loop is. I can easily imagine halfway reversals if indeed there is more than one feedback mechanism (and they are all not positive). And even in a single feedback loop, I can very easily imagine such reversals, if you have significant noise in the system. And guess what: your figure shows that the noise amplitude is on the order of 10% of the rail-to-rail difference - that's huge. Why should it be impossible for noise - what looks like "noise" within a single feedback model may just turn out to be the result of a much different feedback mechanism operating at a much smaller time scale; you might not know until you analyze the noise spectrum - and I imagine people have done such things - to trigger turnarounds in the signal, especially when it is this big?
Actually, should you test both the IPCC radiation hypothesis for the atmosphere with 2-4 degrees warming for doubling and the
Chilingar et al 2008 convection hypothesis, you would probably conclude that the latter is much better explaining the isotope temperature versus CO2 relationship.
Actually, I doubt I'm likely to conclude anything, unless I see obvious mistakes in one or the other that I am capable of judging from within my areas of relative expertise.
Moreover, to my knowledge, op-amp circuits with positive feedback are bistable (usually not even that - if the noise level is sufficiently low, they just hit one of the two rails and stay there) only because they are limited by the supply voltage (that itself should be treated as a negative feedback mechanism). In the absence of such limits
*, the output signal should just diverge, shouldn't it? I guess if you are at a pole, then you have an unstable system, but that will probably produce an oscillatory output (rather than the bistable signature in your figure). If you do have an oscillator with severe clipping (again, I believe that is itself a consequence of strong negative feedbacks), it could possibly look like a bistable system, but a different kind of one, if you can picture what I mean.
In any case, I know next to nothing about control systems and only the tiniest bit about feedback circuits. If there exists a Thevenin/Norton kind of theorem that let's you find a single loop equivalent for a jumble of different loops (I would be very surprised, but) I am not the person that would know about it. You should take my post as one one that is expressing a lot of questions and doubts about your conclusions. It would be best if someone more versed in these matters gives an opinion.
One more thing: your "refutation" seems to be an attempt at refuting a claim from a blog, not from a peer-reviewed paper. Even if your refutation is perfectly good, you will only have achieved a refutation of a claim in a blog. I think it would be better, if we want to show that the science is badly done, to go after the source, rather than the layman popularization of it.