Linear Transformations and Image of a Matrix

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SUMMARY

The discussion focuses on the relationship between a vector w in the image of a 2x2 matrix A, where A satisfies the condition A² = A. It establishes that if w is in the image of A, then Aw can also equal w, indicating that w is an eigenvector corresponding to the eigenvalue of 1. The conversation emphasizes the conceptual understanding of linear transformations and suggests exploring the properties of projection operators to deepen comprehension of the relationship between w and Aw.

PREREQUISITES
  • Understanding of linear transformations, specifically T(x) = Ax.
  • Knowledge of the image of a matrix as the span of its column vectors.
  • Familiarity with eigenvalues and eigenvectors in linear algebra.
  • Conceptual grasp of projection operators and their properties.
NEXT STEPS
  • Research the properties of projection operators in linear algebra.
  • Study eigenvalues and eigenvectors, particularly in the context of 2x2 matrices.
  • Explore the implications of the equation A² = A on the matrix's characteristics.
  • Investigate the geometric interpretation of linear transformations and their images.
USEFUL FOR

Students studying linear algebra, particularly those tackling concepts of linear transformations, matrix properties, and eigenvalues. This discussion is beneficial for anyone seeking to understand the implications of matrix operations in higher mathematics.

Ekaterina
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Homework Statement


Consider a 2x2 matrix A with A2=A.
If vector w is in the image of A, what is the relationship between w and Aw?

Homework Equations


Linear transformation T(x)=Ax
Image of a matrix is the span of its column vectors

The Attempt at a Solution


I know that vector w is one of the column vectors of A, seeing as it is in the image of A.
At first, I tried to work out Aw on paper by substituting [x1 x2] for the second column vector in A, since it isn't specified.
I got the following four equations:
w1 = w1^2+x1w2
w2=w1w2+x2w2
x1=w1x1+x1x2
x2=x1w2+w2^2
However, I couldn't get anything from there.

Now, I'm trying to think of it more conceptually (I believe the point of the problem is to think about it more abstractly), but I'm not sure which direction to head in. All I know is that Ax can equal w, so Aw may also equal w, but the problem doesn't say that w IS the image of A, just that it is IN the image of A.

Any suggestions on how to think about this?
 
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Ekaterina said:

Homework Statement


Consider a 2x2 matrix A with A2=A.
If vector w is in the image of A, what is the relationship between w and Aw?

Homework Equations


Linear transformation T(x)=Ax
Image of a matrix is the span of its column vectors

The Attempt at a Solution


I know that vector w is one of the column vectors of A, seeing as it is in the image of A.
At first, I tried to work out Aw on paper by substituting [x1 x2] for the second column vector in A, since it isn't specified.
I got the following four equations:
w1 = w1^2+x1w2
w2=w1w2+x2w2
x1=w1x1+x1x2
x2=x1w2+w2^2
However, I couldn't get anything from there.

Now, I'm trying to think of it more conceptually (I believe the point of the problem is to think about it more abstractly), but I'm not sure which direction to head in. All I know is that Ax can equal w, so Aw may also equal w, but the problem doesn't say that w IS the image of A, just that it is IN the image of A.

Any suggestions on how to think about this?

Asking "what is the relationship" is a pretty ambiguous question. I'd think about it more conceptually this way: A(Aw)=A^2(w)=Aw. What is A(Aw-w)? What do those tell you conceptually? Here's a hint about what they might be fishing for, look up projection operator. That's my best guess.
 

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