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Timeline for Functional minimization problem

Current License: CC BY-SA 3.0

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Apr 21, 2015 at 9:47 vote accept Mandrill
Apr 21, 2015 at 9:38 answer added Pietro Majer timeline score: 11
Apr 21, 2015 at 7:24 comment added Mandrill No, because I don't know how to do it. Tried to understand how to use Lagrange multipliers with Euler-Lagrange method but got stuck, I am not a mathematician and I am not that smart.
Apr 21, 2015 at 7:16 comment added Benjamin Ah, sorry. I didn't spot that. Have you used a Lagrange multiplyer to impose the constraint?
Apr 21, 2015 at 7:09 comment added Mandrill @Benjamin the monotonic is from f'(x)<=0. This equation is the drag from a revolution solid with height/radio = k. This equation was my attempt to calculate drag using gas kinetic theory but long time ago now I know it is only valid at extremely low gas densities (free path >> height and free path >> radius). If the surface does a zig zag then there would be multiple colisions that the equation does not account for (but the equation is fine if the generation function is monotonic).
Apr 21, 2015 at 7:08 comment added Fan Zheng I missed the condition $f'\le 0$ ( reading on my phone but not rotating to the right direction). But still I think there is no smooth minimizer. I'll write it up later
Apr 21, 2015 at 7:06 comment added Benjamin Also, which exact algorithm converged. There are many subtleties to minmising a functional numerically and often one can't make a conclusion about global optima from numerics. Are you really looking for a minimiser or a stationary curve as this is what the EL equations find.
Apr 21, 2015 at 6:58 comment added Fan Zheng By the way, it also has no smooth maximizer: You can make f drop sharply to 0 sharply and remain 0 thereafter to make the integral arbitrarily close to 1/2. Again no smooth function will make it exactly 1/2. Actually, the EL equation is singular at 0, so there is even no smooth critical point of the functional.
Apr 21, 2015 at 6:56 comment added Benjamin The integrand is positive and the functional can be made arbitrarily close to zero as you point out. Thus, by a squeezing argument, if there is smooth minimiser. then it is assigned 0 by the functional. However, there clearly isn't one. I don't understand your comment. Where is this additional "monotonic restriction" coming from. Are you asking to impose it?
Apr 21, 2015 at 6:54 comment added Mandrill @ Fan Zheng Sorry but I don't agree with your conclusion. There is a monotonic restriction (the functional does not evaluate correctly a non monotonic function) and minimizing doesn't mean being exactly 0.
Apr 21, 2015 at 6:49 comment added Fan Zheng You got the point. By making your function more and more Zigzagging, you can make the integral arbitrarily close to 0. Yet no smooth function will make it exactly 0, so the answer is no.
Apr 21, 2015 at 6:46 comment added Mandrill @ Fan Zheng I did, but it doesn't work (at least not the standard way to use it) because a "zigzag" (going up and down with a small x variation) function would make a very high $f'(x)$ and that would minimize the functional. I don't know how to introduce a monotonic restriction in the Euler-Lagrange method.
Apr 21, 2015 at 6:45 review Close votes
Apr 21, 2015 at 9:06
Apr 21, 2015 at 6:45 history edited Federico Poloni CC BY-SA 3.0
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Apr 21, 2015 at 6:41 history edited Mandrill CC BY-SA 3.0
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Apr 21, 2015 at 6:40 comment added Fan Zheng Have you tried Euler-La grange equation?
Apr 21, 2015 at 6:38 history edited Mandrill CC BY-SA 3.0
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Apr 21, 2015 at 6:34 comment added Mandrill $k^2$ is a constant, a form factor.
Apr 21, 2015 at 6:34 comment added Nate Eldredge @RyanBudney: Maybe $k$ is supposed to be fixed?
Apr 21, 2015 at 6:28 comment added Ryan Budney I can't tell what the problem is. If you let $k$ get arbitrarily large, your integrals tend to zero. So there would appear to be no minimum.
Apr 21, 2015 at 6:26 history edited Amritanshu Prasad CC BY-SA 3.0
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Apr 21, 2015 at 6:25 review First posts
Apr 21, 2015 at 7:27
Apr 21, 2015 at 6:21 history asked Mandrill CC BY-SA 3.0