Deriving the equation of a tangent plane

In summary: In the end, you were successful in getting the normal vector, N = <A, B, C>. I'll trust you that you got the right answer. The rest of your approach looks fine.
  • #1
autodidude
333
0
I am trying to derive the equation of a tangent plane at some point [tex](x_0, y_0)[/tex] on a surface using vectors.

This is how I have been trying to do it:

The tangent line at [tex](x_0, y_0)[/tex] in the x-direction is [tex]z=z_0+f_x(x-x_0)[/tex] so the vector parallel to it is [tex]L_1=<(x-x_0), 0, (z-z_0)>[/tex]. Similarly, the vector parallel to the tangent line with respect to y is [tex]<(0, (y-y_0), (z-z_0)>[/tex]. Taking the cross product, I got the normal vector [tex]<-(z-z_0)(y-y_0), -(x-x_0)(z-z_0), (x-x_0)(y-y_0)>[/tex]

Then taking the dot product between the normal vector and a vector in the plane ([tex]L_2-L_1[/tex]), I got a formula which does equal zero but from which I cannot seem to derive the desired equation. This is what I keep getting:

[tex](x-x_0)(y-y_0)(z-z_0)-(x-x_0)(y-y_0)(z-z_0)=0[/tex]

I've tried different vector representations of the lines but I keep getting the same result.
 
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  • #2
autodidude said:
I am trying to derive the equation of a tangent plane at some point [tex](x_0, y_0)[/tex] on a surface using vectors.
The point would actually be at (x0, y0, f(x0, y0)).
autodidude said:
This is how I have been trying to do it:

The tangent line at [tex](x_0, y_0)[/tex] in the x-direction is [tex]z=z_0+f_x(x-x_0)[/tex] so the vector parallel to it is [tex]L_1=<(x-x_0), 0, (z-z_0)>[/tex]. Similarly, the vector parallel to the tangent line with respect to y is [tex]<(0, (y-y_0), (z-z_0)>[/tex]. Taking the cross product, I got the normal vector [tex]<-(z-z_0)(y-y_0), -(x-x_0)(z-z_0), (x-x_0)(y-y_0)>[/tex]
Let's take a slice of the surface with a cut parallel to the x-z plane. IOW, with y held fixed. At the point P0(x0, y0, f(x0, y0)) the slope of the tangent line along the cut surface is fx(x0, y0). A vector in this direction is <1, 0, fx(x0, y0)>.

Now, make a slice parallel to the y-z plane, so that x is held fixed. At P0, we can use fy(x0, y0) to find a vector in the direction of this new tangent line. A vector with this direction is <0, 1, fy(x0, y0)>. If you cross these two vectors, you'll get a normal to the tangent plane.

I'll let you do the work, but in the meantime, let's call it N = <A, B, C>.

To get the equation of the tangent plane, form a vector from the point of tangency, P0, and an arbitrary point on the plane, P(x, y, z). That vector would be <x - x0, y - y0, z - z>.

This vector is perpendicular to the normal, so their dot product would be zero:
N ##\cdot## <x - x0, y - y0, z - z> = 0.

There's your equation.


autodidude said:
Then taking the dot product between the normal vector and a vector in the plane ([tex]L_2-L_1[/tex]), I got a formula which does equal zero but from which I cannot seem to derive the desired equation. This is what I keep getting:

[tex](x-x_0)(y-y_0)(z-z_0)-(x-x_0)(y-y_0)(z-z_0)=0[/tex]

I've tried different vector representations of the lines but I keep getting the same result.
 
  • #3
Thanks! Got it now!

Just curious, could you please point out somet things I did wrong? I notice that I used the same 'change in z' for both of the vectors parallel to the tangent lines which doesn't seem right (in lecture 9 of the MIT's 18.02 multivariable calculus course, the professor used the same z when he wrote down the two equations for the tangent lines).
 
  • #4
Some of what you wrote was confusing if not actually wrong. For example, you started with the tangent plane at (x0, y0). The plane is tangent to the surface z = f(x, y) at a point on the surface, so the point of tangency is a point in R3, so has three coordinates.

When you were working on the tangent line in the x direction you wrote
z = z0 + fx(x - x0). That was confusing, because it suggests that the partial fx is a function of one variable, not two. It's also incorrect, because you don't want the partial derivative function -- fx -- you want its value at a particular point -- fx(x0, y0). This is like the difference between √x and √4.

After that, you got an equation for this tangent line L1, but you didn't use the partial at all.

You had L1 = <x - x0, 0, z - z0>. From a previous line you had z = z0 + fx(x - x0). Here fx really means fx(x0, y0). You can use this latter equation to replace z - z0 in your equation for L1.

You really don't need L1, or for that matter, L2. All you need are the two vectors that correspond to the tangent lines in the x direction and y direction, respectively.

A tangent vector in the x direction is <1, 0, fx(x0, y0)>. My vector is just a scaled-down version of yours, where yours is the (x - x0) scalar multiple of mine. When you're working with vectors, it usually doesn't matter which one you work with, as long as it points in the right direction.

Same comments apply to what you did for the other tangent line.
 
  • #5


Hi there,

Your approach to deriving the equation of a tangent plane using vectors is definitely on the right track. However, there are a few things to keep in mind in order to obtain the desired equation.

Firstly, when taking the cross product of the two vectors parallel to the tangent lines, it is important to note that the order of the vectors matters. In this case, the order should be L_1 x L_2, not L_2 x L_1.

Secondly, the normal vector you obtained is correct, but it needs to be normalized. This means dividing each component by the length of the vector, which is the square root of the sum of the squares of the components.

Lastly, when taking the dot product with a vector in the plane, the vector should be the difference between any two points in the plane, not just L_2 - L_1. This is because the dot product represents the projection of one vector onto another, and in this case, we want to project the vector onto the normal vector.

With these adjustments, the final equation should be:

(x-x_0)(y-y_0)(z-z_0)-(x-x_0)(y-y_0)(z-z_0) = 0

This equation is actually correct, but it may not seem like the desired equation at first glance. However, if you simplify it further, you will see that it is equivalent to the equation of a plane in the form ax + by + cz = d, where a = y_0z_0 - z_0^2, b = z_0x_0 - x_0^2, c = x_0y_0 - y_0^2, and d = x_0y_0z_0 - x_0^2y_0 - y_0^2z_0 - z_0^2x_0.

I hope this helps clear up any confusion and helps you successfully derive the equation of a tangent plane using vectors. Keep up the good work!
 

1. What is the purpose of deriving the equation of a tangent plane?

The equation of a tangent plane allows us to determine the slope or rate of change of a function at a specific point. This is useful in many scientific fields, such as physics, engineering, and economics, as it helps us understand the behavior of a system or process.

2. How is the equation of a tangent plane derived?

The equation of a tangent plane is derived using the concept of a tangent line, which is a line that touches a curve at only one point. By finding the slope of this tangent line and using the point-slope form of a line, we can derive the equation of the tangent plane at a given point on a 3D surface.

3. What information do we need to derive the equation of a tangent plane?

In order to derive the equation of a tangent plane, we need the coordinates of the point at which the tangent plane will be tangent to the surface, as well as the partial derivatives of the function with respect to the x and y variables at that point.

4. Can the equation of a tangent plane be used to approximate other points on a surface?

Yes, the equation of a tangent plane can be used to approximate other points on a surface near the given point. This is because the tangent plane is a good approximation of the surface at that point, as long as the surface is smooth and continuous.

5. How is the equation of a tangent plane used in real-world applications?

The equation of a tangent plane has many real-world applications. For example, in physics, it is used to determine the rate of change of a physical quantity at a specific point, such as the velocity of an object. In economics, it can be used to estimate the marginal cost or revenue at a given production level. In engineering, it is used to understand the behavior of surfaces in 3D space, such as the shape of a wing or the curvature of a road.

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