Find Basis for Subspace of R^4 Generated by z

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Homework Help Overview

The problem involves finding a basis for the T-cyclic subspace of R^4 generated by the vector z = (1, 0, 0, 0), where T is a linear operator defined by T(a,b,c,d) = (a + b, b - c, a + c, a + d). The discussion centers around the dimensionality of the subspace W and the linear independence of vectors generated by applying T to z.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the dimensionality of the subspace W, with some asserting that it cannot be 0 or 1. There is an exploration of the linear independence of various sets of vectors generated by T applied to z. Questions arise about the efficiency of methods used to find a basis and the implications of linear dependence in relation to the cyclic subspace.

Discussion Status

Participants are actively engaging with each other's reasoning, questioning assumptions about linear independence and dimensionality. Some suggest a more straightforward method for determining a basis, while others clarify the implications of linear dependence among generated vectors. The discussion is ongoing with no explicit consensus reached.

Contextual Notes

There is a focus on the definitions of linear independence and the properties of subspaces, with participants noting the constraints of their current understanding and the need for clarity in descriptions of their methods.

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Homework Statement



Suppose T is a linear operator on R^4 such that T(a,b,c,d) = (a + b, b - c, a + c, a + d). Find a basis for the T-cyclic subspace of R^4 generated by z = (1, 0, 0, 0)

Homework Equations


The Attempt at a Solution



I found a basis, but I don't think the method I used was the most efficient way. To save you the tedious calculations, I'll post an outline of what I did.

First denote the T-cyclic subspace in question by W. Then since W is a subspace of R^4,
1<= dim(W) <= 4. Now dim(W) cannot be equal to 1, for then any single vector in W would be a basis for W (since a set consisting of a single vector is linearly independent) and (1, 0, 0, 0) does NOT span W (I've computed enough vectors in W to know this). So we have
2<= dim(W) <= 4. The set { (1, 0, 0, 0), (1, 0, 1, 1) } is linearly independent, both those vectors are in W, and so if dim(W) = 2, then that set should span W, but it doesn't.
So we have 3 <= dim(W) <=4. What I did now was take 4 vectors that span W and showed that they aren't linearly independent, and so this must mean that dim(W) = 3, and so I took those 4 vectors that I found that span W, removed one, and showed that the other 3 are linearly independent, which is my basis.
 
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I don't know the answer to your question, but some of the things you have written are incorrect.
1. The set {0} is a subspace of R4 (and lots of other vector spaces), but the dimension of this subspace is 0.
2. The set {0} is linearly dependent, not linearly independent. The equation a0 = 0 has an infinite number of solutions.
 
1. The dimension of W cannot be 0, because then W = {0} which I know isn't true.
2. I should have said that a set consisting of a single NON-ZERO vector is linearly independent. Either way, W still cannot be one dimensional since it isn't spanned by (1, 0, 0, 0)

Surely there has to be a way to find a basis without going through all the stuff I did?
 
JG89 said:
1. The dimension of W cannot be 0, because then W = {0} which I know isn't true.
2. I should have said that a set consisting of a single NON-ZERO vector is linearly independent. Either way, W still cannot be one dimensional since it isn't spanned by (1, 0, 0, 0)

Surely there has to be a way to find a basis without going through all the stuff I did?

Your description of what you are doing is a little unclear, but if you mean that {z,T(z)} is linearly independent that's ok. Then you looked at {z,T(z),T(T(z))}, right? Just keep adding T^n(z) for increasing values of n until you get a linearly dependent set. Then you know you've added one too many.
 
Beautiful - that's much simpler than what I was trying to do. Thanks.
 
Just one question...

You said to keep increasing the value of n for T^n(z) until I get a linearly dependent set. Say the set {z, T(z), T^2(z)} is linearly independent and also suppose that when I choose n = 3, then the set {z, T(z), T^2(z), T^3(z)} is linearly dependent. That doesn't necessarily mean that any set consisting of 4 vectors from the T-cyclic subspace is going to be linearly dependent, does it? So then is it possible that there is another value of n, say n = 56, so that the set {z, T(z), T^2(z), T^56(z)} is linearly independent?
 
Good question. If {z,T(z),T^2(z),T^3(z)} is linearly dependent then you can write T^3(z)=a*z+b*T(z)+c*T^2(z). What does that tell you about T^4(z) etc?
 
If T^3(z) = a*z+b*T(z)+c*T^2(z) then T^4(z) = a*T(z) + b*T^2(z) + c*T^3(z)
= a*T(z) + b*T^2(z) + c*(a*z+b*T(z)+c*T^2(z))

= (c*a)*z + a*T(z) + b*T^2(z) + c*a*T(z) + c^2*T^2(z)

with at least one of a, b, or c being non-zero (For if a = b = c =0 then T^4(z) would be the zero vector and the set {z, T^(z), T^2(z), T^4(z)} would be linearly dependent).

If a is non-zero, then T^4(z) = a*T(z) + ... the rest with a being non-zero

If b is non-zero, then T^4(z) = b*T^2(z) + ... the rest with b being non-zero

If c is non-zero, then T^4(z) = c^2*T^2(z) + ... the rest with c^2 being non-zero

And so T^4(z) can be written as a linear combination of the vectors z, T(z), T^2(z) and so the set {z, T(z), T^2(z), T^4(z)} is linearly dependent, and by induction the set {z, T(z), T^2(z), T^n(z)} is linearly dependent for all positive integers n >= 3
 
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That's a bit overcomplicated. But sure, if T^3(z) can be expressed in terms of T^2(z), T(z) and z, then so can T^4(z) and so on. Just apply T and replace powers greater than 2 with linear combinations of T^2(z), T(z) and z.
 

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