Projection of one vector on another?

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Homework Help Overview

The discussion revolves around the concept of vector projection, specifically how to find the projection of one vector onto another. Participants are exploring the definitions and calculations involved in this topic within the context of vector mathematics.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to clarify the method for finding the projection of one vector along another, initially considering the scalar (dot) product but expressing uncertainty about its applicability. Other participants provide various insights and formulas related to vector projection, including geometric interpretations and mathematical expressions.

Discussion Status

The discussion is active, with participants sharing different perspectives on the projection of vectors. Some have offered mathematical expressions and geometric interpretations, while others have questioned the initial assumptions regarding the dot product's role in determining vector projection.

Contextual Notes

There appears to be some confusion regarding the definitions and calculations related to vector projection, as well as the relationship between the dot product and the projection length. The original poster's inquiry suggests a need for clarification on these concepts.

Joza
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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?
 
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projection of y onto x = x(x'x)-1x'y [= predicted value of y from the least squares equation "y = a + bx + u"].
 
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]
 

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