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zmudz
 one year ago
For \(x\), \(y\), and \(z\) positive real numbers, what is the maximum possible value for
\(
\sqrt{\frac{3x+4y}{6x+5y+4z}}
+
\sqrt{\frac{y+2z}{6x+5y+4z}}
+
\sqrt{\frac{2z+3x}{6x+5y+4z}}?
\)
zmudz
 one year ago
For \(x\), \(y\), and \(z\) positive real numbers, what is the maximum possible value for \( \sqrt{\frac{3x+4y}{6x+5y+4z}} + \sqrt{\frac{y+2z}{6x+5y+4z}} + \sqrt{\frac{2z+3x}{6x+5y+4z}}? \)

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anonymous
 one year ago
Best ResponseYou've already chosen the best response.0do you know how to solve it

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Apparently you're dealing with multivariable Calculus, you have a function $$f: \mathbb{R}^3 \to \mathbb{R}$$ which is called a real valued multivariable function (real valued because it's codomain are the reals, multivariable because it takes more than one value as arguments). Similar as in real analysis to obtain a Maximum/Minimum you must figure out the critical points first. In real Analysis this is done by checking for which \( x \in \mathbb{R}\) the equation \( f(x)=0\) is satisfied. In your case you do something very similar, just that the derivative isn't as straight forward anymore. You want to check for the Gradient of f to be annihilated, that is \( \nabla f(x)=0 \in \mathbb{R}^3 \). So take all the partial derivatives of $f$ (with respect to x,y,z) and put them into your vector and evaluated the equation above. This will give you the critical points, in order to be sure that it is a maximum you need to do again something very similar than in real analysis, rather than checking for the sign of \(f''(x)\) you need to discuss the Hessian Matrix of \(f\) which is the symmetric Matrix (because your function is \(C^2\) semi smooth) with entries evaluated at the critical points. If said Matrix is positive definite, you have a (local) minimum, if it is positive definite you have a (local) maximum. Make sure that you check for the definitions of all the words above that I have said in order to solve your problem, that is:  Gradient of a function  Hessian Matrix of a function  Definiteness of a Matrix

zmudz
 one year ago
Best ResponseYou've already chosen the best response.0This is for a precalc class though :/

ChillOut
 one year ago
Best ResponseYou've already chosen the best response.0I can't see any way to solve this withotu calculus;

beginnersmind
 one year ago
Best ResponseYou've already chosen the best response.0All of these are based on inequalities. Review your inequalities between harmonic, geometric, arithmetic and quadratic means, and whethever generalization you covered in class.
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