Linear Approximation of z2 = xy + y + 3 at (0,6,-3)

In summary, a linear approximation of the surface z2 = xy + y + 3 at the point (0,6, -3) was found and used to approximate the function -0.01, 6.01, -2.98.
  • #1
catch22
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Homework Statement


Find linear approximation of the surface z2 = xy + y + 3 at the point (0,6, -3) and use it to approximate f(-0.01, 6.01, -2.98)

Homework Equations

The Attempt at a Solution


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upload_2015-11-6_2-6-24.png


so this means the total surface has decrease by -0.17?
 

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  • #2
its not about the surface that's decreased, its about how accurate your approximation is. in this case, you used the newly found equation of the tangent plane to approximate f(-0.01, 6.01, -2.98). you want to compare using the original function to see how accurate it is.
 
  • #3
qq545282501 said:
its not about the surface that's decreased, its about how accurate your approximation is. in this case, you used the newly found equation of the tangent plane to approximate f(-0.01, 6.01, -2.98). you want to compare using the original function to see how accurate it is.
so you comparing it to the actual change?
which should be final - initial :
F(-0.01, 6.01, -2.98) - F(0,6, -3)
 
  • #4
catch22 said:
so you comparing it to the actual change?
which should be final - initial :
F(-0.01, 6.01, -2.98) - F(0,6, -3)
this is not what the question is asking though, you have already answered the question.
but, if you want to see how close your approximation is, use z^2 = xy + y + 3 as the initial function to find the exact value of the point that you are trying to approximate with newly found tangent plane.
 
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  • #5
hm..if you look at this way: the tangent plane and the original function are like twin brothers at a specific time[ point in our case] . we are testing to see how close the brothers are at that time[point] , but as we move away from that time[point], they become not so similar anymore, and if we go far enough, they are completely different from each other.
 
  • #6
You are asked to do two different problems but seem to have mixed them together! You have, as your final answer "L(x, y, z)= -0.17". That is certainly not true since the left side, L(x, y, z), the linear approximation to the function, is NOT a constant.

You need two different answers to the two different problems. First you need to write the equation for the tangent approzimation, then evaluate that at (-0.01, 6.01, -2.98).

Yes, given [itex]F(x, y, z)= xy+ y- z^2+ 3[/itex], then [itex]F_x= -y[/itex], [itex]F_y= -x- 1[/itex], and [itex]F_z= 2z[/itex].
At (0, 6, -3) we have [itex]F_x=[/itex]

... etc, see how you go with this now. [mod edit]
 
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Related to Linear Approximation of z2 = xy + y + 3 at (0,6,-3)

What is linear approximation?

Linear approximation is a method used in mathematics to approximate the value of a complicated function by replacing it with a simpler, linear function. It is used to make calculations easier and to find approximate solutions to problems when an exact solution is not available.

How is linear approximation calculated?

To calculate linear approximation, you need to first find the equation of a line that closely fits the curve of the function at a specific point. This equation is known as the tangent line. Then, you can use this equation to approximate the value of the function at that point.

Why is linear approximation useful?

Linear approximation is useful because it allows us to simplify complicated functions and make them easier to work with. It is also helpful in finding approximate solutions to problems, especially when an exact solution is not possible or is too difficult to find.

What is the difference between linear approximation and linear regression?

Linear approximation is a mathematical technique used to approximate the value of a function at a specific point, while linear regression is a statistical method used to find the relationship between two variables. Linear approximation uses a tangent line to approximate a function, while linear regression finds the best-fit line for a set of data points.

When is linear approximation not accurate?

Linear approximation is not accurate when the function is not well-behaved or when the point of approximation is far from the function's curve. It is also not accurate for functions with sharp turns or points of discontinuity. In these cases, a higher-degree approximation method may be needed.

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