Dot product: normal and tangent

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SUMMARY

The discussion centers on calculating the dot product of the normal vector \( n \) and the vector \( \overline{PQ} \) to demonstrate that the normal vector is perpendicular to the tangent plane. The normal vector is defined as \( n = fx(a,b)\hat{i} + fy(a,b)\hat{j} - \hat{k} \). Participants clarify the computation of \( \overline{PQ} \) and confirm that the dot product results in zero, affirming the perpendicularity of the normal vector to the tangent plane. The final expression for the dot product simplifies correctly to zero, validating the geometric relationship.

PREREQUISITES
  • Understanding of vector calculus, specifically tangent planes and normal vectors.
  • Familiarity with partial derivatives and their notation, such as \( f_x(a,b) \) and \( f_y(a,b) \).
  • Knowledge of vector operations, including vector subtraction and dot products.
  • Basic proficiency in multivariable functions and their graphical interpretations.
NEXT STEPS
  • Study the derivation of tangent planes in multivariable calculus.
  • Learn about the geometric interpretation of normal vectors in three-dimensional space.
  • Explore applications of dot products in physics and engineering contexts.
  • Investigate the implications of partial derivatives in optimization problems.
USEFUL FOR

Students and educators in calculus, particularly those focusing on multivariable functions, as well as professionals in fields requiring geometric interpretations of mathematical concepts, such as engineering and physics.

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Homework Statement


Tangent plane goes through point P=(a,b,f(a,b)). Any point on the plane is then
Q=(x,y,z)=(x,y,f(a,b)+fx(a,b)(x-a)+fy(a,b)(y-b)) (fx and fy are partial derivatives)
and the vector \overline{PQ} is on tangent plane.
Calculate dot product n.\overline{PQ} and show that the normal vector is perpendicular to the tangent plane.

Homework Equations



n=fx(a,b)\hat{i} + fy(a,b)\hat{j} - \hat{k}

The Attempt at a Solution


Ok, I should get the dot product = 0.

I don't know how to do that, because I don't know how to get the vector \overline{PQ} into a right form. So far I've tried

\overline{PQ} = \overline{Q} - \overline{P}
= xi + yj +f(x,y)k - ai - bj - f(a,b)k
= (x-a)i + (y-b)j + (f(x,y)-f(a,b))k

How am I supposed to get zero dot product from THAT and n?
n has partial derivatives, can I write them some other way? I'm stuck.
 
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So start with actually doing the dot product of PQ and n. What do you get?
 
Mark44 said:
So start with actually doing the dot product of PQ and n. What do you get?

I get

n dot PQ = fx(a,b)(x-a)+fy(a,b)(y-b)-f(x,y)+f(a,b)

I still have those partial derivatives, and I don't know what to do with them.
 
That's not what I get. You have an error in what you got for PQ.
 
Mark44 said:
That's not what I get. You have an error in what you got for PQ.

To get PQ I think I should start with Q-P. But it is scalar and I don't see how it turns into a vector.

Q-P= x,y,f(a,b) + fx(a,b)(x-a) + fy(a,b)(y-b) - a,b,f(a,b)
 
Q is a vector and P is a vector, and Q - P is a vector, and is equal to PQ. When you add or subtract vectors, you do so component-wise.
 
Mark44 said:
Q is a vector and P is a vector, and Q - P is a vector, and is equal to PQ. When you add or subtract vectors, you do so component-wise.

Q and P are given as scalars. P=(a,b,f(a,b)) is, I think, relatively easy to vectorize
ai + bj + f(a,b)k
Q is a bit ugly
xi + yj + f(a,b)k + fx(a,b)xi - fx(a,b)ai + fy(a,b)yj - fy(a,b)bj
and so Q - P is
xi + yj + fx(a,b)xi - fx(a,b)ai + fy(a,b)yj - fy(a,b)bj - ai - bj
and as k is gone, can be put as i and j
(x + fx(a,b)x - fx(a,b)a -a)i + (y + fy(a,b)y - fy(a,b)b -b)j

Taking dot product with n :

(x + fx(a,b)x - fx(a,b)a -a)*(fx(a,b)) + (y + fy(a,b)y - fy(a,b)b -b)*(fy(a,b)) = ..

The product doesn't cancel out, it is not zero.
 
I don't know how you're getting that \vec{PQ}, but the dot product with the normal vector is obviously zero.

Q is a bit ugly
xi + yj + f(a,b)k + fx(a,b)xi - fx(a,b)ai + fy(a,b)yj - fy(a,b)bj

?

How do you get terms such as f_x(a,b)x\hat{i}?

f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b) is the z coordinate of Q.
 
sci-doo said:
Q and P are given as scalars. P=(a,b,f(a,b)) is, I think, relatively easy to vectorize
ai + bj + f(a,b)k
Q is a bit ugly
xi + yj + f(a,b)k + fx(a,b)xi - fx(a,b)ai + fy(a,b)yj - fy(a,b)bj
The expression above is incorrect. Your x and y components are correct, but all the rest is the multiplier for the unit vector k.
sci-doo said:
and so Q - P is
xi + yj + fx(a,b)xi - fx(a,b)ai + fy(a,b)yj - fy(a,b)bj - ai - bj
and as k is gone, can be put as i and j
(x + fx(a,b)x - fx(a,b)a -a)i + (y + fy(a,b)y - fy(a,b)b -b)j

Taking dot product with n :

(x + fx(a,b)x - fx(a,b)a -a)*(fx(a,b)) + (y + fy(a,b)y - fy(a,b)b -b)*(fy(a,b)) = ..

The product doesn't cancel out, it is not zero.
 
  • #10
Mark44 said:
The expression above is incorrect. Your x and y components are correct, but all the rest is the multiplier for the unit vector k.

Thank you for correcting my somewhat unusual (and wrong!) approach..

I didn't see the z-part of Q as it is.

Dot product is (of course):
\bar{PQ}.n = fx(a,b)(x-a) + fy(a,b)(y-b) - fx(a,b)(x-a) - fy(a,b)(y-b) = 0

Once again, thank you for your help.
 

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