seanieg89
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- 2007
Re: HSC 2014 4U Marathon - Advanced Level
Of course the idea is not baseless...but each of your successive guesses is. You successively strengthen your assumptions and weaken your conclusion hoping that the new claim is true, but each time you have not posted any evidence for why you think this slightly weaker claim is true, given that the previous claim wasn't.
Nor have you posted any proofs or attempts thereof.
I am not a machine for testing your claims one after another. To improve at mathematics you should learn to bash your head at things for longer...especially when you don't know if things are true or false...they are the best practice of all.
The promised counterexample is just a slightly modified version of the previous one, to make it homogeneous:
"Well most homogeneous cyclic polynomials won't even have global extrema- This is true unless there is a constraint placed on a homogeneous
cyclic function of the variables in the original polynomial, which I also forgot to mention previously.
For example, (x-2y)^2(2x-y)^2 is a homogeneous cyclic polynomial, now plus the constraint xy=4, the minimum is 16 when x=y >0."
Sure, before I thought you were only making claims about unconstrained optimisation. Then you introduced the positivity constraint, which as I pointed out does not change things.
Neither do such polynomial equation constraints.
Counterexample:
Minimise x+y subject to the constraint x^2 + y^2 >= 1 and x >= 0 and y >= 0. The extremal points are then (1,0) and (0,1) contrary to your claim.
(Neither do such constraints always imply existence of extrema, unless (for example) the function is continuous and the restricted domain of our function ends up being compact.)
Apologies for the delay. My family loves to drag on these holiday events.Thank you all for the thoughts.
I certainly have put time in analysing the idea.
The idea is not baseless. Well known geometric facts support that, such as the question I posted a+b+c>=abc in a unit circle; area of a rectangle; volume of a cuboid.
What I was not able to do was using the right name for the type of expressions generated. This allowed seanieg89 to construct the counterexamples.
'Well most homogeneous cyclic polynomials won't even have global extrema'- This is true unless there is a constraint placed on a homogeneous
cyclic function of the variables in the original polynomial, which I also forgot to mention previously.
For example, (x-2y)^2(2x-y)^2 is a homogeneous cyclic polynomial, now plus the constraint xy=4, the minimum is 16 when x=y >0.
Of course the idea is not baseless...but each of your successive guesses is. You successively strengthen your assumptions and weaken your conclusion hoping that the new claim is true, but each time you have not posted any evidence for why you think this slightly weaker claim is true, given that the previous claim wasn't.
Nor have you posted any proofs or attempts thereof.
I am not a machine for testing your claims one after another. To improve at mathematics you should learn to bash your head at things for longer...especially when you don't know if things are true or false...they are the best practice of all.
The promised counterexample is just a slightly modified version of the previous one, to make it homogeneous:
"Well most homogeneous cyclic polynomials won't even have global extrema- This is true unless there is a constraint placed on a homogeneous
cyclic function of the variables in the original polynomial, which I also forgot to mention previously.
For example, (x-2y)^2(2x-y)^2 is a homogeneous cyclic polynomial, now plus the constraint xy=4, the minimum is 16 when x=y >0."
Sure, before I thought you were only making claims about unconstrained optimisation. Then you introduced the positivity constraint, which as I pointed out does not change things.
Neither do such polynomial equation constraints.
Counterexample:
Minimise x+y subject to the constraint x^2 + y^2 >= 1 and x >= 0 and y >= 0. The extremal points are then (1,0) and (0,1) contrary to your claim.
(Neither do such constraints always imply existence of extrema, unless (for example) the function is continuous and the restricted domain of our function ends up being compact.)
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