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anonymous
 4 years ago
find the maximum and minumum values of the n variable function:X1+X2+...Xn subject to the constraint X1^2+X2^2+...+Xn^2=1
anonymous
 4 years ago
find the maximum and minumum values of the n variable function:X1+X2+...Xn subject to the constraint X1^2+X2^2+...+Xn^2=1

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anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0aren't u supposed to use lagrangian Constrained Optimization ?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0so u want to find extremums of \[f(x_1,x_2,...,x_n)=x_1+x_2+...+x_n\]subject to this constraint\[x_1^2+x_2^2+...+x_n^2=1\]

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0set up ur lagrangian\[L=f\lambda g\]and consequencly ur equations\[x_1^2+x_2^2+...+x_n^2=1\]\[\frac{\partial L}{\partial x_1}=0\]\[\frac{\partial L}{\partial x_2}=0\]...\[\frac{\partial L}{\partial x_n}=0\]these n+1 equation with n+1 unknown (degree of freedom is 0) will give u the values of \[x_1,x_2,...,x_n,\lambda\]for which \(f\) is max or min

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0still one missed point\[g(x_1,x_2,...,x_n)=x_1^2+x_2^2+...+x_n^21\] plz let me know if u got it from here

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0yeah, but why there is n+1 equations?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0we also have dL/d入=x1^2+x2^2+...xn^21 right?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0n partial derivatives and the constrained itself is one of the equations so u have n+1 equation

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0and we also have dL/d入=g right? @mukushla

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0then i got x1^2+x2^2+....xn^2=1

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0then dL/dx1 =1+2x1入 but not zero?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0one of equations for example\[\frac{\partial L}{\partial x_1}=0\]\[\frac{\partial f}{\partial x_1}\lambda\frac{\partial g}{\partial x_1}=0\]\[12\lambda x_1=0\]set up other equations like this anf find \(\lambda\) first

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0ok, so what I did is:L=g+fλ, and then x1=x2=x3=...xn=1/(2λ) for the constraint function, we can get nX1^2=1, then x=(1/n)^0.5, then I plug this in to L again, the function L can write as L=nX1+(1/2λ)(nX1^21) after plugging into x=(1/n)^0.5 i FINALLY get L=n^0.5 so there is only one answer, but I have to find maximum and min, So I really get confused, can you give me more hint? appreciates a lot!

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0maybe i made a mistake, x=(+or ) n^0.5 right, so there r 2 answer for L, n^0.5 and n^0.5? so one is max and the other one is min, am I RIGHT?

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0emm...what i know as standard form for L is fgλ

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0f+gλ or fgλ doesnt matter, cause the answer is same. if gλ, then g=0, if gλ then g=0, g also =0, so this isnt the point

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0ok u r right it doesn't matter and it gives\[x_1=x_2=...=x_n=\frac{1}{2\lambda}\]and plugging this in\[x_1^2+x_2^2+...+x_n^2=1\]gives\[n\frac{1}{4\lambda^2}=1\]and\[\lambda=\pm \frac{\sqrt{n}}{2}\]so the max of \(f\) is when\[x_1=x_2=...=x_n=\frac{1}{\sqrt{n}}\]and the min is when\[x_1=x_2=...=x_n=\frac{1}{\sqrt{n}}\]

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0and note that u want to find max and min of f not L

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0\[\text{max} \ (f)=\frac{n}{\sqrt{n}}=\sqrt{n}\]and\[\text{min} \ (f)=\frac{n}{\sqrt{n}}=\sqrt{n}\]

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0@mukushla yes, we got the same answer, thx a lot!!!!
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