Why is AB an Orthogonal Projection Matrix?

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The discussion centers on the concept of orthogonal projection matrices, specifically questioning why the product AB is not considered an orthogonal projection onto the x-axis. The matrices A and B are defined, with AB resulting in a vector that does not match the expected projection of (x,y) to (x,0). Clarification is provided that an orthogonal projection involves mapping points perpendicularly to the axis of projection, which differs from the interpretation of projecting the orthogonal component. The definition of a projection transformation is also discussed, emphasizing that a true projection should yield the same result when applied multiple times. The conversation highlights the importance of understanding the precise definitions and distinctions within linear algebra concepts.
MathewsMD
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I've attached the question to this post. The answer is false but why is it not considered the orthogonal projection?

##
A = \begin{bmatrix}
0 & 1 \\
0 & 0
\end{bmatrix}
##
##
B = \begin{bmatrix}
x \\
y
\end{bmatrix}
##
##
AB = \begin{bmatrix}
y \\
0
\end{bmatrix}
##

Is AB not providing the orthogonal projection? Is my matrix multiplication incorrect?
 

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The question was about orthogonal projection "onto the x-axis", so (x,y) should project to (x,0).
 
Stephen Tashi said:
The question was about orthogonal projection "onto the x-axis", so (x,y) should project to (x,0).

I was interpreting it as the projection of the orthogonal component (i.e. y) to the x-axis. I understand what you're saying, thank you for the clarification, but why exactly is it called the orthogonal projection then? Why not simply the projection to the x-axis?
 
MathewsMD said:
why exactly is it called the orthogonal projection then? Why not simply the projection to the x-axis?

A "projection" is defined to be a transformation that produces the same answer when applied twice as when applied once. For example, we can define a projection process on (x,y) to be drawing a line through (x,y) that makes a 120 degree angle with the x-axis and mapping (x,y) to the point of intersection between that line and the x-axis. Applying the process twice means applying it to the point (x,y) and then to the point where (x,y) was mapped.

In an "orthogonal projection onto the x-axis, " the direction of the line we draw would be perpendicular to the x-axis. Do your text materials give a precise definition for "orthogonal projection"? Perhaps they define it in terms of an inner product.

(Don't confuse "orthogonal projections" with "orthogonal matrices", which is another topic you will encounter in linear algebra.)
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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