Finding the Orthogonal Projection of a Vector onto Another Vector

In summary, the conversation is about proving that Vector B minus the Projection of B onto A makes the orthogonal projection of B onto A. The second statement implies the first, and the proof can be done visually or algebraically.
  • #1
linuspauling
11
0
Given:

[tex]\vec A \cdot \vec B = non zero[/tex]
and
[tex]\theta[/tex] does not equal 0

I can't seem to prove that Vector B minus the Projection of B onto A makes the orthogonal projection of B onto A.

Can you help?
 
Last edited:
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  • #2
I am not sure I understand your question properly. The first statement in fact implies the second statement in your question.
You can see the proof by simple visualization, using laws of vector geometry of course.
Alternatively, prove that the dot product of "Vector B - Projection of B onto A and vector A" is 0. Just put that statement in algebra and simplify.
 
  • #3
The projection of B onto A is
[tex]\frac{\vec{A}\cdot\vec{B}}{|\vec{A}|^2}\vec{A}[/tex]
so
[tex](\vec{B}- proj_{\vec{B}}(\vec{B}))\cdot \vec{A}= \vec{A}\cdot\vect{B}- \frac{\vec{A}\cdot\vec{B}}{|\vec{A}|^2}\vec{A}\cdot\vec{A}[/tex]
 
  • #4
thank you halls of ivy.

thanks hall of ivy
 

What is an orthogonal projection?

An orthogonal projection is a type of projection in which a point or object is projected onto a plane or line at right angles, or perpendicularly. This results in a two-dimensional representation of the object or point on the plane or line.

How are orthogonal projections used in mathematics?

Orthogonal projections are commonly used in mathematics, specifically in linear algebra and geometry. They are used to find the closest point or line to a given object or set of points, and to solve problems involving vectors and vector spaces.

What is the formula for calculating an orthogonal projection?

The formula for calculating an orthogonal projection is: projv(u) = (u · v) / (v · v) * v, where u is the vector to be projected and v is the vector onto which u is projected.

What are some real-world applications of orthogonal projections?

Orthogonal projections have many practical applications, such as in computer graphics, engineering, and architecture. They are used to create 2D and 3D models of objects, to determine the best fit for data points, and to create accurate maps and diagrams.

How do orthogonal projections differ from other types of projections?

Unlike other types of projections, such as parallel projections or perspective projections, orthogonal projections maintain the size and shape of the object being projected. This makes them useful for precise measurements and calculations.

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