Matrix of a linear transformation

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Homework Help Overview

The discussion revolves around finding a basis for R^n such that the matrix B of a linear transformation T is diagonal, specifically focusing on orthogonal projections and reflections in R^3. The transformation is based on the line spanned by the vector (1, 1, 1).

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the need to identify one vector parallel to the line and two vectors that are perpendicular and linearly independent. There are questions about the structure of the resulting matrix B and the implications of using different types of transformations (projection vs. reflection).

Discussion Status

Some participants have provided guidance on the approach to take, including considerations for the properties of the vectors involved in the transformations. There is an exploration of how to express the transformation in different bases and the effects of the transformation on the vectors.

Contextual Notes

Participants note confusion regarding the distinction between reflections and projections, particularly in terms of the vectors used and their relationships to the line or plane involved. There is also mention of a miscommunication regarding whether the transformation is about a line or a plane.

succubus
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Find a basis of Rn such that the matrix B of the given linear transformation T is diagonal.

Orthogonal Projection T onto the line in R^3 spanned by
(1 1 1)


I'm assuming (though I tend to be wrong) that I need to find a vector that is parallel to the line and 2 that are perpendicular to it and linearly independent.

So would the B matrix look something like this

1 -2 1

1 1 0

1 1 -1

?

Or am I once again way off track :)
 
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Hi Succubus
misread question... run with mazes comments
 
Last edited:
succubus said:
Find a basis of Rn such that the matrix B of the given linear transformation T is diagonal.

Orthogonal Projection T onto the line in R^3 spanned by
(1 1 1)


I'm assuming (though I tend to be wrong) that I need to find a vector that is parallel to the line and 2 that are perpendicular to it and linearly independent.

So would the B matrix look something like this

1 -2 1

1 1 0

1 1 -1

?

Or am I once again way off track :)

Looks good. A few follow up questions worth thinking about would be,
1) If you write a vector in the basis B, v = v1 (1 1 1)T + v2 (-2 1 1)T + v3 (1 0 -1)T, then what is Tv in this basis?
2) What is the matrix T in the basis B?
3) What would go wrong if the second vector in B was not perpendicular to the first one?

*extra challenge*4) What is T in the standard basis (1,0,0)T, (0,1,0)T, (0,0,1)T? Can you write the projection matrix in terms of an outer product (ie: T = q qT for some vector q)?
 
Last edited:
Thanks, I appreciate your help. Now, what is it was a reflection instead of a projection? Let's say a reflection about the plane (1 1 1) Would I do the same procedure?
 
hi succubus - do you mean the reflection in the plane through the origin, with normal vector (1,1,1) ?

if so, you can look at your previous vectors (2 perpindicular and 1 parallel to (1,1,1)).

Say v1= (1,1,1), this will be mapped to (-1,-1,-1). Whilst the perpindicular vectors (v2,v3) will be mapped to themselves,as they are in the plane of reflection

so you know
[tex]A.v_1 = -v_1[/tex]
[tex]A.v_2 = v_2[/tex]
[tex]A.v_3 = v_3[/tex]

can you write A in the basis of v1,v2,v3? then you can you transform to the original basis if needed...
 
Thanks! But the problem is

Find a basis of Rn such that the matrix B of the given linear transformation T is diagonal.

Reflection T about the line in R^3 spanned by
(1 1 1)


I accidentally put plane! I'm sorry.

So I would find 2 vectors perpendicular to the line and 1 parallel? I think I see it, but I don't understand exactly why. :/

So it would be

1 -1 1
1 0 -1
1 1 0

?
 
hmm.. ok, so i assume it will reflect any vector u, in a plane parallel to (1,1,1)
and if we write
[tex]u = v+ \lambda(1,1,1)[/tex] for some unqiue [tex]v, \lambda[/tex] for every u
v will be normal to the plane of reflection...(someone correct me if i am wrong)

as before, say you have vectors
v1 - parallel (1,1,1)
v2 - perp (1,1,1)
v3 - perp (1,1,1) (v3 not equal v2)

in this case
[tex]A.v_1 = v_1[/tex]
[tex]A.v_2 = -v_2[/tex]
[tex]A.v_3 = -v_3[/tex]

then comments as before
 

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