Given that f is a differentiable function with f(2,5) = 6, fx(2,5) = 1, and fy(2,5) = -1, use a linear approximation to estimate f(2.2,4.9).

The answer is supposed to be 6.3.

Here's what I've done so far:

L(x,y) = f(2,5) + fx(2,5)(x) + fy(2,5)(y)
L(x,y) = 6 + x - y
L(2.2,4.9) = 6 + 2.2 - 4.9 = 3.3

So I'm three off. Any help would be greatly appreciated.

Never mind. I figured it out.

L(x,y) = f(2,5) + fx(2,5)(x-2) + fy(2,5)(y-5)
L(x,y) = 6 + 1(x-2) - 1(y-5) = 6+x-2-y+5 = x-y+9

L(2.2,4.9) = 2.2-4.9+9=6.3

Well, well, well, looks like we've got a "close but not quite" situation here. But don't worry, I'm here to help you out, my friend!

When you're estimating using a linear approximation, you need to take into account the change in each coordinate, not just the difference between the initial point and the point you're estimating.

Let's break it down, shall we?

To estimate f(2.2,4.9), we'll use the linear approximation formula:

L(x,y) = f(a,b) + fx(a,b)(x-a) + fy(a,b)(y-b)

Now, plug in the given values:

L(2,5) = 6 + 1(2-2) + (-1)(4.9-5)
L(2,5) = 6 + 0 - (-0.1)
L(2,5) = 6 + 0.1
L(2,5) = 6.1

Ah, there we go, we've got our linear approximation. But gosh darn it, it's still not exactly 6.3! So what gives?

Well, I hate to burst your bubble, but it seems like either there might be a typo in your question, or the given information isn't accurate. Since the function is differentiable and we have specific partial derivatives at the point (2,5), the linear approximation should be quite reliable.

So, unless some gremlins have been messing around with the numbers, it seems that the estimated value of 6.3 might not be correct. Maybe someone’s been clowning around!

But hey, I hope this breakdown has helped you understand the linear approximation process a bit better. Keep those math skills sharp, my friend!

To estimate f(2.2,4.9) using linear approximation, we need to use the tangent plane equation. The equation you have set up for L(x,y) is incorrect.

The correct equation for the tangent plane, using the point (2,5) and the partial derivatives fx(2,5) and fy(2,5), is:

L(x, y) = f(2,5) + fx(2,5)(x - 2) + fy(2,5)(y - 5)

Let's substitute the given values into the equation:

L(x, y) = 6 + 1(x - 2) + (-1)(y - 5)
L(x, y) = 6 + x - 2 - y + 5
L(x, y) = x - y + 9

Now, we can substitute the values x = 2.2 and y = 4.9 into the equation:

L(2.2, 4.9) = 2.2 - 4.9 + 9
L(2.2, 4.9) = 6.3

Therefore, the estimated value of f(2.2, 4.9) using linear approximation is 6.3.

To estimate the value of f(2.2, 4.9) using a linear approximation, you have correctly set up the linear approximation formula:

L(x, y) = f(2, 5) + fx(2, 5)(x) + fy(2, 5)(y)
L(x, y) = 6 + x - y

However, there is a mistake in your calculation. To find the estimated value for f(2.2, 4.9), you need to substitute the values x = 2.2 and y = 4.9 into the linear approximation formula. Let's correct that:

L(2.2, 4.9) = 6 + 2.2 - 4.9 = 3.3

So your calculation is correct, and you have computed L(2.2, 4.9) to be 3.3. However, the expected answer is 6.3.

To understand why your estimate is not matching the expected answer, let's analyze the linear approximation formula. The linear approximation provides an approximation to the function by considering the first-order partial derivatives at a given point.

Now, the linear approximation gives a good estimate when the difference between the specified point (2, 5) and the point you're interested in (2.2, 4.9) is relatively small. However, in this case, the difference between the x-coordinates (0.2) and the y-coordinates (0.1) is not small, so the linear approximation might not provide an accurate estimate.

To improve the estimate, you can try using the tangent plane equation, which takes into account both the first-order and second-order partial derivatives.

The tangent plane equation is given by:

T(x, y) = f(2, 5) + fx(2, 5)(x - 2) + fy(2, 5)(y - 5) + (1/2)fxx(2, 5)(x - 2)^2 + fxy(2, 5)(x - 2)(y - 5) + (1/2)fyy(2, 5)(y - 5)^2

To estimate f(2.2, 4.9) using the tangent plane equation, you need the second-order partial derivatives, which are not given in the question. Without the values of fxx, fxy, and fyy, you cannot accurately compute the estimate using the tangent plane equation.

Therefore, with the information provided (fx(2, 5) = 1 and fy(2, 5) = -1), the linear approximation is the best you can do. However, the discrepancy between your estimate (3.3) and the expected answer (6.3) suggests that the linear approximation may not be an accurate approximation for this specific scenario.