Calculus of variations changing variables

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The discussion revolves around the calculus of variations and the treatment of constant multiples in functional optimization. Participants clarify that while positive multiples can be ignored when finding stationary points, negative multiples affect the optimization direction, switching minima to maxima. The importance of integration limits is also noted, as they can impact the interpretation of stationary points. Additionally, the conversation touches on the implications of these transformations for second-order tests, emphasizing the need for understanding the conditions for minima and maxima. Overall, the thread highlights key considerations in handling variations and transformations in calculus.
bobred
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Homework Statement


Hi
I am given the functional

x?S[y]=%5Cint_%7Ba%7D%5E%7Bb%7D%5Cfrac%7Bx%5E%7B3%7Dy%5E%7B%5Cprime2%7D%7D%7By%5E%7B4%7D%7D%20dx.png


I am asked to show that if
png.png
and with an appropriate value for
png.png
that

png.png


Homework Equations


[/B]

The Attempt at a Solution


So I get

du%7D=%5Cfrac%7By%5E%7B%5Cprime%7D%28u%29%7D%7B%5Cbeta%20u%5E%7B%5Cbeta-1%7D%7D.png


png.png

png.png


If I set
2.png
then I get

png.png

I think that it is correct but what about the factor of 2?
 
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Your work looks correct. Unless you do another variable transformation, you will not get rid of the 2.
 
I imagine that since you are trying to find stationary values of this integral, they are not affected by a constant multiple, so you can drop the factor. I think it should be -2, but that's a minor point.
 
PeroK said:
I think it should be -2, but that's a minor point.

This would depend on the order of the integration limits (note that ##a## was the lower integration limit in ##x## but ##A## is the upper integration limit in ##u## - of course I am just making the arbitrary inference that ##a## corresponds to ##A## here ...).
 
Orodruin said:
This would depend on the order of the integration limits (note that ##a## was the lower integration limit in ##x## but ##A## is the upper integration limit in ##u## - of course I am just making the arbitrary inference that ##a## corresponds to ##A## here ...).

Yes, didn't notice that.
 
Thanks guys.
I may have missed this in my notes PeroK but if we are trying to find stationary points of a functional constant multiples can be ignored?
James
 
bobred said:
but if we are trying to find stationary points of a functional constant multiples can be ignored?

Yes, but there is nothing strange about this. It works this way for functions as well, if ##f(x)## has the stationary point ##x=2##, then so does ##2f(x)##.
 
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Yes, thanks for the clarification.
James
 
bobred said:
Thanks guys.
I may have missed this in my notes PeroK but if we are trying to find stationary points of a functional constant multiples can be ignored?
James

Positive multiples can be ignored, but omitting negative multiples changes the direction of optimization.
 
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  • #10
Ray Vickson said:
Positive multiples can be ignored, but omitting negative multiples changes the direction of optimization.

But it does not change the fact that the point is stationary. Just exchanges minima for maxima.
 
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  • #11
Orodruin said:
But it does not change the fact that the point is stationary. Just exchanges minima for maxima.

Of course, but that is another issue. It certainly changes the second-order tests, so that instead of looking to see if the Hessian is positive-definite, we look instead to see if it is negative-definite. However, when I taught this stuff I recommended that students just "memorize" the conditions for a minimum, then switch the sign of the objective if the problem was a maximization; that eliminates the need for a whole raft of special cases, etc.
 

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