Error of Lin Approx with Taylors Formula

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The discussion focuses on using Taylor's theorem to determine the error in the linear approximation of the function f(x,y) = e^(x^2 + y^2) at the point (1,1). Participants clarify the correct form of the linear approximation, emphasizing that it should be L(1,1)(x,y) = 2e^2 x + 2e^2 y - 3e^2 rather than a quadratic expression. The error term is derived from the second-degree Taylor polynomial, which involves the second partial derivatives evaluated at (1,1). It is noted that the error can be bounded using the maximum values of the second derivatives within the specified range. Ultimately, the error is shown to be at most 5e^2[(x-1)^2 + (y-1)^2] for 0 <= x <= 1 and 0 <= y <= 1.
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Let f(x,y) = e^(x^2 + y^2)
Use Taylor's theorem to show that the error in the linear approximation L(1,1)(x,y) is at most 5e^2[(x-1)^2+(y-1)^2] if 0 <= x <= 1, 0 <= y <= 1.

I've taken the partial and second partial derivatives and tried plugging it into this theorem but I get messy algebra and cannot simplify to the above.

Thanks guys.
 
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Welcome to PF!

Hi glog! Welcome to PF! :smile:

Show us your mess, and we'll try to unscramble it! :wink:
 
sure, thanks!

so i get the partial derivs:
f(x,y) = e^2
fx(x,y) = 2e^2
fy(x,y) = 2e^2
fxx(x,y) = 4e^2
fxy(x,y) = 4e^2
fyy(x,y) = 4e^2

I get my linear approx:
L1,1(x,y) = 2ex^2+2ey^2-3e^2

so then, by Taylor:
|e^(x^2 + y^2) - (2ex^2+2ey^2-3e^2)| = 1/2[fxx(1,1) x^2 + 2fxy(1,1) xy + fyy(1,1) y^2]

and to be honest, I'm not sure where to go from here. :s
 
glog said:
sure, thanks!

so i get the partial derivs:
f(x,y) = e^2
fx(x,y) = 2e^2
fy(x,y) = 2e^2
fxx(x,y) = 4e^2
fxy(x,y) = 4e^2
fyy(x,y) = 4e^2
Wrong notation. You mean f(1,1)= e^2 etc.

I get my linear approx:
L1,1(x,y) = 2ex^2+2ey^2-3e^2
That is not "linear"! Do you mean 2e^2 x+ 2e^2 y- 3e^2?

so then, by Taylor:
|e^(x^2 + y^2) - (2ex^2+2ey^2-3e^2)| = 1/2[fxx(1,1) x^2 + 2fxy(1,1) xy + fyy(1,1) y^2]

and to be honest, I'm not sure where to go from here. :s
No, "Taylor" doesn't say that! The error for the 2nd degree Taylor's polynomial function to f(x,y) about (a, b) is (1/2)[fxx(x*,y*)(x-1)^2+ 2fxy(x*,y*)(x-1)(y-1)+ fyy(x*,y*)(y-1)^2] where x* is some number between 1 and x and y* is some number between 1 and y. Of course we don't know what x* and y* are- if we did we could evaluate that "error", add it on and get the exact value! We do know that the error is less than or equal to that with fxx(x*,y*), fxy(x*,y*), and fyy(x*,y*) taken as as at least the maximum possible values between 1 and x, 1 and y.
 
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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