Projection of one vector on another?

In summary, the projection of one vector onto another can be found by using the dot product and dividing by the length of the second vector. The length of the projection can also be found by dividing the dot product by the length of the second vector. To find the projection vector itself, multiply the length of the projection by the unit vector in the direction of the second vector.
  • #1
Joza
139
0
Projection of one vector on another??

Can anyone explain how to find the projection of one vector along another?

I thought it was scalar (dot) product, but then I realized it WASN'T. What is this then?

Anyone explain?
 
Physics news on Phys.org
  • #3
projection of y onto x = x(x'x)-1x'y [= predicted value of y from the least squares equation "y = a + bx + u"].
 
  • #4
The LENGTH of the projection of one vector onto another is (almost) the dot product.

To find the projection of [itex]\vec{u}[/itex] on [itex]\vec{v}[/itex], draw the line from the "tip" of [itex]\vec{u}[/itex] perpendicular with [itex]\vec{v}[/itex]. You now have a right triangle with angle [itex]\theta[/itex] between the angles and hypotenuse of length [itex]|\vec{u}|[/itex]. The length of the projection, the "near side", is then [itex]|\vec{u}|cos(\theta)[/itex]. Since the dot product can be defined as [itex]\vec{u}\cdot\vec{v}= |\vec{u}||\vec{v}|cos(\theta)[/itex], to get the length of the pojection, we need to get rid of that [itex]|\vec{v}|[/itex] by dividing by it. The length of the projection of [itex]\vec{u}[/itex] on [itex]\vec{v}[/itex] is
[tex]\frac{\vec{u}\cdot\vec{v}}{|\vec{v}|}[/tex]

In order to get the projection vector itself, we need to multiply that length by the unit vector in the direction of [itex]\vec{v}[/itex], which is, of course, [itex]\vec{v}/|\vec{v}|[/itex].
The vector projection of [itex]\vec{u}[/itex] on [itex]\vec{v}[/itex] is
[tex]\frac{\vec{u}\cdot\vec{v}}{|\vec{v}|^2}\vec{v}[/tex]
 

FAQ: Projection of one vector on another?

What does it mean to project one vector onto another?

Projecting one vector onto another involves finding a vector that represents the shadow or footprint of one vector along the direction of another. This is commonly used in physics and mathematics to understand the component of one vector in the direction of another.

How is the projection of a vector calculated?

The projection of vector \(\mathbf{a}\) onto vector \(\mathbf{b}\) is calculated using the formula: \( \text{proj}_{\mathbf{b}} \mathbf{a} = \left( \frac{\mathbf{a} \cdot \mathbf{b}}{\mathbf{b} \cdot \mathbf{b}} \right) \mathbf{b} \). This involves the dot product of the two vectors and the magnitude of vector \(\mathbf{b}\).

What is the dot product in vector projection?

The dot product in vector projection is a scalar quantity that measures the magnitude of one vector in the direction of another. It is calculated as \( \mathbf{a} \cdot \mathbf{b} = |\mathbf{a}| |\mathbf{b}| \cos(\theta) \), where \(\theta\) is the angle between the vectors.

Can vectors in three-dimensional space be projected onto each other?

Yes, vectors in three-dimensional space can be projected onto each other using the same projection formula. The concept and calculation are similar to two-dimensional vector projection.

What is the significance of vector projection in physics?

In physics, vector projection is used to determine the component of a force, velocity, or other vector quantities in a specific direction. It helps in analyzing motion and forces in a particular direction of interest.

How does vector projection differ from vector decomposition?

Vector projection is the process of finding a vector's component along another vector's direction. Vector decomposition, on the other hand, involves breaking a vector into orthogonal components, usually along coordinate axes.

Is vector projection affected by the length of the vectors?

Yes, the length of the vectors affects the result of the projection. The longer the vector onto which another is being projected, the smaller the projected vector will be, provided the other vector remains constant.

Back
Top