MHB Local Min Problem: Solve 2a>0 & 4a2-1 > 0?

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The function z = x·ln(1+y) + a(x²+y²) has a local minimum at (0,0) under specific conditions for the parameter a. The Hessian matrix analysis reveals that for a local minimum, the condition 4a² - 1 > 0 must hold, leading to a > 0.5 or a < -0.5. Additionally, the second derivative with respect to x indicates that a must also be greater than 0. Therefore, if a > 0 is assumed, the conclusion that a > 0.5 is correct.
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Hello all,

I have this tricky question, I think I got the idea, just wish to confirm.

If the function

\[z=x\cdot ln(1+y)+a(x^{2}+y^{2})\]

has a local minimum at (0,0), then: (choose correct answer)

1) a<-0.5
2) a>0
3) a>0.5
4) -0.5<a<0.5
5) a>0.5 or a<-0.5

What I did, is calculate the partial derivatives by x and y. Then I calculated the second order partial derivatives to get D, the hessian matrix. I then put (0,0) in the hessian matrix, and got this condition:

\[4a^{2}-1>0\]

I solved it to get

a>0.5 or a<-0.5

but, I also looked just on the second derivative by x and x. It was equal to 2a. I know it must be bigger than 0 (minimum), thus a>0

so from both conditions I conclude that (3) is the correct answer.

Am I right ?

Thank you !
 
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Yankel said:
Hello all,

I have this tricky question, I think I got the idea, just wish to confirm.

If the function

\[z=x\cdot ln(1+y)+a(x^{2}+y^{2})\]

has a local minimum at (0,0), then: (choose correct answer)

1) a<-0.5
2) a>0
3) a>0.5
4) -0.5<a<0.5
5) a>0.5 or a<-0.5

What I did, is calculate the partial derivatives by x and y. Then I calculated the second order partial derivatives to get D, the hessian matrix. I then put (0,0) in the hessian matrix, and got this condition:

\[4a^{2}-1>0\]

I solved it to get

a>0.5 or a<-0.5

but, I also looked just on the second derivative by x and x. It was equal to 2a. I know it must be bigger than 0 (minimum), thus a>0

so from both conditions I conclude that (3) is the correct answer.

Am I right ?

Thank you !

Hi Yankel, :)

If in the problem it is given that $a>0$, then your answer is correct. (Yes)
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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