Finding the Orthogonal Projection of a Vector onto Another Vector

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    Orthogonal Projections
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Discussion Overview

The discussion revolves around the mathematical concept of finding the orthogonal projection of one vector onto another vector, specifically addressing the relationship between a vector and its projection onto another vector. The scope includes mathematical reasoning and vector geometry.

Discussion Character

  • Mathematical reasoning

Main Points Raised

  • One participant expresses difficulty in proving that subtracting the projection of vector B onto vector A from vector B results in the orthogonal projection of B onto A.
  • Another participant suggests that the first statement implies the second and recommends visualizing the proof using vector geometry laws or proving it through the dot product.
  • A third participant provides the formula for the projection of B onto A and attempts to demonstrate the relationship between the vectors using algebraic manipulation of the dot product.

Areas of Agreement / Disagreement

Participants do not reach a consensus, as there are varying interpretations of the original question and different approaches to proving the relationship between the vectors.

Contextual Notes

The discussion includes assumptions about the properties of vectors and the implications of the dot product, which may not be fully articulated or resolved.

linuspauling
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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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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.
 
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]
 
thank you halls of ivy.

thanks hall of ivy
 

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