Linear Operator T on Vector Space V: Unique Matrix A in Ordered Bases B

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Discussion Overview

The discussion revolves around a problem related to linear operators on vector spaces, specifically focusing on the uniqueness of a matrix representation of a linear operator T in ordered bases, as well as properties of nilpotent operators. Participants explore the implications of the operator's properties and the construction of a suitable basis for another operator S.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related
  • Debate/contested

Main Points Raised

  • One participant states that the matrix A of the linear operator T can be represented as a specific upper triangular matrix, indicating the action of T on the basis elements.
  • Another participant suggests using the condition S^n=0 and S^{n-1}≠0 to find a suitable basis B' for the operator S.
  • A participant proposes constructing the basis B' as {a, Sa, S^2a, ..., S^{n-1}a} for some vector a, where S^ia≠0 for i=1,...,n-1, and attempts to show that this set is linearly independent.
  • There is a suggestion to apply the operator S to a linear combination of the basis elements to demonstrate linear independence, with a step-by-step approach to show that all coefficients must be zero.
  • Another participant provides feedback on the method, suggesting clarifications and adjustments to the language used in the explanation.
  • One participant corrects the terminology regarding "bases" and "basis" in the context of vector spaces.

Areas of Agreement / Disagreement

Participants generally agree on the approach to constructing the basis B' and the implications of the properties of the operators, but there are nuances in the methods and terminology used. The discussion remains open as participants refine their arguments and clarify their points.

Contextual Notes

Some participants express uncertainty about the completeness of their arguments and the correctness of their terminology, indicating potential limitations in their reasoning or assumptions made during the discussion.

Who May Find This Useful

This discussion may be useful for graduate students studying linear algebra, particularly those preparing for qualifying exams or exploring the properties of linear operators and their matrix representations.

Abuattallah
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Hello,
I am a grad student preparing for a quals. I am using H. and Kunze book.
the problem is:
let V be a n-dim vector space over F. and let [itex]B[/itex]={[itex]a_1,a_2,..., a_n[/itex]} be an ordered bases for V.
a- According to them 1, there is a unique Linear operator T on V such that

[itex]Ta_i=a_{(i+1)}[/itex] , i=1,...,n. and [itex]Ta_n=0[/itex].
what is the matrix [itex]A[/itex] of [itex]T[/itex] in the ordered bases B.
b- prove that [itex]T^n=0, and\ \ \ T^{n-1}≠ 0[/itex].
c- Let S be any linear operator on V such that [itex]S^n=0\ \ \ but\ \ \ S^{n-1}≠0[/itex]. Prove that there is an ordered bases [itex]B'[/itex] such that the matrix of [itex]S[/itex] in the bases [itex]B'[/itex] is the matrix [itex]A[/itex] of part (a).

Solution Attempt.
Obviously we have for (a)[itex]A= \begin{bmatrix}<br /> 0 & 0&... & 0 &0\\<br /> 1 & 0 & 0&...&0 \\<br /> 0&1&0&...&0\\<br /> .\\<br /> .\\<br /> 0&0&...&1&0<br /> \end{bmatrix}[/itex]
for (b) its obvious.
my problem is with the last question. I tried to justfy it by two ways, the first one is to find an ivertible linear transformation [itex]U:V→V[/itex] such that [itex]S=UTU^{-1}[/itex], then we will be done and such a bases exists. The second way is that I am trying to show the follwing:
there exist at least on vector in the bases [itex]B[/itex] such that [itex]S^ia_i≠0[/itex] for [itex]i=1,..,n-1.[/itex] and I am considering the set [itex]B'=[/itex]{[itex]a_i, Sa_i,S^2a_i,...,S^{n-1}a_i[/itex]}. Note if we proved [itex]B'[/itex] is a bases, then [itex]<s>_{B'}=A</s>[/itex].i.e. the matrix of [itex]S[/itex] relative to the bases [itex]B'[/itex] is A.
Unfotunatly, I could not get to an end with both ways.
Am I doing the right thing? Any suggestions?.
Thank you in Advance.
 
Last edited:
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Welcome to PF!

Hello Abuattallah! Welcome to PF! :smile:

Hint: use the fact that Sn-1 ≠ 0 :wink:
 
Thank you tiny-tim.
This is my try:

consider the base [itex]B'=[/itex]{[itex]a,Sa,...,S^{n-1}a[/itex]}, for some [itex]a[/itex] where [itex]S^ia≠0, \forall i≤n-1[/itex], now for the sake of simplicity let's call them as follow [itex]a=a_1, Sa=a_2,...,S^ia=a_{i+1},...,S^{n-1}=a_n[/itex],Consider the follwing

[itex]c_1a_1+...+c_na_n=0[/itex] ... (1)
Aplly [itex]S^{n-1}[/itex] to both sides of (1), we get
[itex]c_1a_n=0→c_1=0[/itex],
now apply [itex]S^{n-2}[/itex] to (1), we get
[itex]c_2a_n=0→c_2=0[/itex], Continueing this way, we will get all [itex]c_i=0\ \ , \ \forall i=1,...,n[/itex], Hence the set [itex]B'[/itex] is linearly independent.
Any comments on my method?

Thanks in Advance.
 
Hi Abuattallah! :wink:

Yes, that's right. :smile:

Just a few "tweaks" needed …

Start with "Since Sn-1 ≠ 0, there exists an a such that …"

Then "So define the ordered set B' = {…}" (you can't call it a basis yet :wink:)

And end "So B' is an independent ordered subset whose cardinality is the same as the dimension of V, and is therefore a basis for V"
 
By the way, "bases" is the plural of "basis". We speak of a basis for a vector space.
 
Thank you so much Tiny-Tim.
and thanks for word correction, English is my second language ; ).
You have all a wonderful day,
Abuattallah
 
Your English is far better than my (put just about any language here!).
 

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