Vector Projections: A, B & C Explained

In summary: For b. If you set u=v, then u ↓ v = v ↓ u is always true, as the vector projection of a vector onto itself, is just itself. u ↓ v= v, if u=v (I understand how to do this segment)So this is the only case in which the above statement is true, otherwise its always false right (I just really want to confirm what I believe to be right). And I understand how to demonstrate this visually using diagrams, so that's not a problem. For c., this is really the question I am unsure about. Is there a particular condition in which this statement is true, and only true if
  • #1
NATURE.M
301
0

Homework Statement



a. Is it possible to have u ↓ v undefined?
b. Is it possible to have u ↓ v = v ↓ u ?
c. Explain why u ↓( v ↓ w ) = u ↓ w .

Homework Equations



The Attempt at a Solution



I know a is possible if the length of vector v is 0.
I think be is false, but not sure.
And c, I am not sure.
I'm really just unsure how to demonstrate a, b, and c mathematically, and the question implies I use diagrams to demonstrate my answers. Any advice or assistance is appreciated..
 
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  • #2
NATURE.M said:

Homework Statement



a. Is it possible to have u ↓ v undefined?
b. Is it possible to have u ↓ v = v ↓ u ?
c. Explain why u ↓( v ↓ w ) = u ↓ w .

Homework Equations



The Attempt at a Solution



I know a is possible if the length of vector v is 0.
I think be is false, but not sure.
And c, I am not sure.
I'm really just unsure how to demonstrate a, b, and c mathematically, and the question implies I use diagrams to demonstrate my answers. Any advice or assistance is appreciated..

You might define your notation. Does u ↓ v mean the vector projection of u on v? Or what?? In any case, the way to show your results mathematically is to use the formula for the vector projection.
 
  • #3
You are right u ↓ v mean the vector projection of u on v. In terms of part b though, it is possible for u ↓ v = v ↓ u if u=v right? In all other cases, they would not equal. Is this right?

And also for part c, I am unsure how to start the question, could you please give me a hint.
 
  • #4
NATURE.M said:
You are right u ↓ v mean the vector projection of u on v. In terms of part b though, it is possible for u ↓ v = v ↓ u if u=v right? In all other cases, they would not equal. Is this right?

And also for part c, I am unsure how to start the question, could you please give me a hint.

I just want to confirm with you: is u↓v equivalent to the formula:

##proj_{\vec v} \vec u = \displaystyle \frac{\vec u \cdot \vec v}{||\vec v||^2} \vec v## ?
 
  • #5
NATURE.M said:
You are right u ↓ v mean the vector projection of u on v. In terms of part b though, it is possible for u ↓ v = v ↓ u if u=v right? In all other cases, they would not equal. Is this right?

Why don't you show us your argument for these statements using the formulas? Just stating them and asking if they are right doesn't cut it.
 
  • #6
Yeah karnage1993 they are of equivalent forms.

For, a. I figured it out, and know how to demonstrate it using diagrams and mathematically.
(if the vector your projecting onto has length of 0, then the vector projection is undefined-basic idea).

For b. If you set u=v, then u ↓ v = v ↓ u is always true, as the vector projection of a vector onto itself, is just itself.
u ↓ v= v, if u=v (I understand how to do this segment)
So this is the only case in which the above statement is true, otherwise its always false right (I just really want to confirm what I believe to be right). And I understand how to demonstrate this visually using diagrams, so that's not a problem.

For c., this is really the question I am unsure about. Is there a particular condition in which this statement is true, and only true if that condition is in place. ex. like if vectors v=w, then the statement would be true.
 
  • #7
NATURE.M said:
.

For c., this is really the question I am unsure about. Is there a particular condition in which this statement is true, and only true if that condition is in place. ex. like if vectors v=w, then the statement would be true.

I have been trying to get you to use the formulas. First, write down the formula for ##u\downarrow w##. Then write down the formula for ##v\downarrow w## and then ##u\downarrow (v\downarrow w)##. Simplify it carefully and see if you get the same thing you got for ##u\downarrow w##.

[Edit added later] If that seems too complicated, try proving the simpler fact that ##u\downarrow kv = u\downarrow v## for any nonzero constant ##k## and use that.
 
Last edited:
  • #8
NATURE.M said:
Yeah karnage1993 they are of equivalent forms.

For, a. I figured it out, and know how to demonstrate it using diagrams and mathematically.
(if the vector your projecting onto has length of 0, then the vector projection is undefined-basic idea).
Your "basic idea" is that if a vector has length 0 it is "undefined"? What about the 0 vector?

For b. If you set u=v, then u ↓ v = v ↓ u is always true, as the vector projection of a vector onto itself, is just itself.
u ↓ v= v, if u=v (I understand how to do this segment)
So this is the only case in which the above statement is true, otherwise its always false right (I just really want to confirm what I believe to be right). And I understand how to demonstrate this visually using diagrams, so that's not a problem.
What is true when two vectors are perpendicular?

For c., this is really the question I am unsure about. Is there a particular condition in which this statement is true, and only true if that condition is in place. ex. like if vectors v=w, then the statement would be true.
What is the direction of v projected onto w? What information about w is important in deciding what v, or u, projected onto w is?
 
  • #9
HallsofIvy said:
Your "basic idea" is that if a vector has length 0 it is "undefined"? What about the 0 vector?

The zero vector would also be undefined, as that would also imply that the denominator is 0.

What is true when two vectors are perpendicular?

I see what your saying. u ↓ v = v ↓ u is true if and only if u=v or if u is perpendicular to v (as that would result in zero projection- since the dot product is 0).

What is the direction of v projected onto w? What information about w is important in deciding what v, or u, projected onto w is?

If you project v onto w, and then project u onto the projection of v on w, it will give you a vector that is parallel (or more appropriately 'a scalar multiple') to the projection of u onto w. And in terms of actually expressing u ↓( v ↓ w ), I understand how to show v ↓ w, but how do I demonstrate u ↓( v ↓ w )??
 
  • #10
Okay, you know that v↓w is a vector in the direction of w. So that u↓(v↓w) is a vector in the direction of (u↓w)- i.e in the direction of w. If by "demonstrate" it, draw there 'vectors' representing u, v, and w. Draw a perpendicular from v to w, then draw a vector from u to that line- which is just the same as drawing a line form u to w to begin with. As for length, do you understand that the length of u↓v is independent of the length of v? It depends only on the length of u and the angle between u and v.
 
  • #11
Thanks alot. The diagram makes complete sense.

And for the second part of your statement, is it geared towards a, b or c?
Otherwise, I do understand the notion that length of u ↓ v is independent of the length of v, since u cosθ =(compvU) Note: compvU meaning the scalar projection of u on v
And thus it only depends on θ and u.
 

1. What is a vector projection?

A vector projection is a way of representing a vector in terms of other vectors. It involves finding the component of one vector in the direction of another vector.

2. How is vector projection calculated?

Vector projection is calculated using the dot product of two vectors. The formula is: projba = (a · b) / |b|, where a is the vector being projected and b is the vector onto which a is being projected.

3. What is the significance of vector projections in physics?

Vector projections are important in physics because they allow us to break down a vector into its components, which can then be used in calculations and equations. This makes it easier to analyze and understand the motion of objects.

4. Can vector projections have negative values?

Yes, vector projections can have negative values. This occurs when the angle between the two vectors is greater than 90 degrees, resulting in a negative component.

5. How is vector projection used in real-world applications?

Vector projection has many real-world applications, such as in engineering, navigation, and computer graphics. It can be used to determine the force needed to move an object in a specific direction, to calculate the distance between two points, and to create 3D images on a 2D screen.

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