Solving Implicit Functions: F1(x), F2(x) near 0

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The discussion revolves around determining implicit functions from two equations, F1(x) and F2(x), near zero and computing their partial derivatives. The user successfully computed the determinant of a matrix derived from the partial derivatives, confirming that the functions can be implicitly determined. However, confusion arises regarding the evaluation of the derivative formula at x2 = 0, as it results in a zero matrix. The conclusion drawn from reviewing relevant literature suggests that the derivative formula should be evaluated at the specified point, leading to the result that both derivatives at zero are zero. This indicates that the implicit functions' derivatives at that point are indeed (0,0).
asif zaidi
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Hello:
I thought I had this but in doing the problem I realized I didn't (or maybe I didn't).
One of the problems was that in class and notes all examples were done in terms of f(x,y). Obviously in h/w, the problem is given as f(x1,x2,x3) - just to confuse me !

Problem statement

a- For the following equation, decide whether they implicitly determine functions near 0
b- If the equation implicitly determine a function, compute the partial derivatives at 0

Equation:

F1(x) = ( x1^{2} + x2^{2} + x3^{2} )^{3} - x1 + x3 = 0;
F2(x) = cos (x1^{2} + x2^{4}) + exp(x3) - 2 = 0

Solution

For Part a-

I know I have to compute the determinant of a matrix. So for this example I played out with x1,x2,x3 and saw which determinant would not be 0. I came up with the following matrix.

B(x) = [partial_der_F1 (x1) partial_der_F1 (x3) ; partial_der_F2(x1) partial_der_F2(x3) ]. Evaluating this at 0, I get the following matrix

[-1 1; 0 1] and the determinant of this matrix is -1 != 0. So I can take the inverse of this matrix

Thus I can say that for each x2, the following function F(phi1(x2), x2, phi2(x2) ) = 0 where phi1 and phi2 are unique functions.

I think I have part a right. It is part b I am having problems with

For part b:

The formula for the derivative given in class notes is -B(x,g(x))^{-1} A(x,g(x))

B = matrix calculated above
A = partial derivative of F1, F2 (2x1 matrix) with respect to x2.

Now my question is do I have to evaluate this at x2 = 0 or can I just leave it in terms of phi1(x2), x2, phi2(x2).

Whats confusing me is that if I compute A wrt x2 and evaluate at x2=0, I will get a 0 matrix.


Thanks in advance



Asif
 
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I looked over the baby Rudin treatment of this theorem (pg. 224-228) and my conclusion is that the formula given for a derivative in your class notes holds when evaluated at the point. Thus \left(\phi_1^\prime (0),\phi_2^\prime (0)\right)=(0,0) is my conclusion if your calculations are correct.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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