Find an equation for the tangent plane to a surface (using gradient)

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Homework Help Overview

The discussion revolves around finding an equation for the tangent plane to the surface defined by the equation xz² + x²y - z = -1 at the specific point (1, -3, 2). The subject area involves multivariable calculus, specifically the application of gradients in determining tangent planes.

Discussion Character

  • Exploratory, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the calculation of the gradient of the function and its evaluation at the specified point. There is an exploration of the relationship used to derive the equation of the tangent plane. Some participants express uncertainty about the correctness of their process, referencing a similar example for guidance.

Discussion Status

The discussion includes attempts to verify the correctness of the derived equation for the tangent plane. Some participants have offered checks to confirm that the normal to the plane is parallel to the gradient at the given point and that the plane contains the specified point. There is no explicit consensus on the correctness of the solution, but guidance has been provided to help validate the approach.

Contextual Notes

Participants note that this is their first experience with this type of problem, which may contribute to their uncertainty regarding the process and results. There is an acknowledgment of the reliance on a similar example for understanding.

FaraDazed
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Homework Statement


Find an equation for the tangent plane to a surface xz^2 +x^2y-z=-1 at the point (1,-3,2).

Homework Equations


<br /> (\vec{r}-\vec{r_p}) \cdot \nabla f(\vec{r_p}) = 0<br />

The Attempt at a Solution


[/B]
First I found the gradient of the function
<br /> \nabla f = (z^2+2xy)\hat{i} + x^2 \hat{j} + (2xz-1)\hat{k}<br />
and then evaluated at (1,-3,2)
<br /> \nabla f(\vec{r_p}) = (2^2+2(1)(-3))\hat{i} + 1^2 \hat{j} + (2(1)(2)-1)\hat{k} = (-2,1,3)<br />

And then used the relation in the relevant equations section:
<br /> (\vec{r}-\vec{r_p}) \cdot \nabla f(\vec{r_p}) = 0 \\<br /> (x-1,y+3,z-2) \cdot (-2,1,3) = 0 \\<br /> (-2x+2)+(y+3)+(3z-6) = 0 \\<br /> -2x+y+3z=1<br />

This is the first time I've ever done this and I am just going off of a similar example that the solution was given for. It is not exactly the same question so not sure my process is even correct. Would appreciate any help :)
 
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FaraDazed said:

Homework Statement


Find an equation for the tangent plane to a surface xz^2 +x^2y-z=-1 at the point (1,-3,2).

Homework Equations


<br /> (\vec{r}-\vec{r_p}) \cdot \nabla f(\vec{r_p}) = 0<br />

The Attempt at a Solution


[/B]
First I found the gradient of the function
<br /> \nabla f = (z^2+2xy)\hat{i} + x^2 \hat{j} + (2xz-1)\hat{k}<br />
and then evaluated at (1,-3,2)
<br /> \nabla f(\vec{r_p}) = (2^2+2(1)(-3))\hat{i} + 1^2 \hat{j} + (2(1)(2)-1)\hat{k} = (-2,1,3)<br />

And then used the relation in the relevant equations section:
<br /> (\vec{r}-\vec{r_p}) \cdot \nabla f(\vec{r_p}) = 0 \\<br /> (x-1,y+3,z-2) \cdot (-2,1,3) = 0 \\<br /> (-2x+2)+(y+3)+(3z-6) = 0 \\<br /> -2x+y+3z=1<br />

This is the first time I've ever done this and I am just going off of a similar example that the solution was given for. It is not exactly the same question so not sure my process is even correct. Would appreciate any help :)
Looks good to me.

As a check you can do the following:
  • Confirm that the normal to the plane is parallel to the gradient at the given point.
  • Confirm that the plane contains the given point.
 
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Mark44 said:
Looks good to me.

As a check you can do the following:
  • Confirm that the normal to the plane is parallel to the gradient at the given point.
  • Confirm that the plane contains the given point.
Thanks for taking a look, and for the advice on how to check if correct, appreciate it :)
 
Mark44 told you that!
"As a check you can do the following:
  • Confirm that the normal to the plane is parallel to the gradient at the given point.
  • Confirm that the plane contains the given point."
 

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