Proof of S^n=0 When S is Lower Triangular Matrix

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Homework Help Overview

The discussion revolves around the properties of a specific type of matrix, particularly a lower triangular matrix, and the assertion that raising such a matrix to the nth power results in the zero matrix. Participants are examining the validity of this claim through examples and counterexamples.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants are attempting to prove the statement using induction and matrix multiplication definitions. Some question the initial assumptions about the type of matrix being discussed, while others provide counterexamples to challenge the claim.

Discussion Status

The discussion is active, with various interpretations being explored. Some participants are providing guidance on how to approach the proof, while others are questioning the validity of the original statement and clarifying the definitions involved.

Contextual Notes

There is a lack of clarity regarding the exact nature of the matrix in question, with some participants suggesting that the problem may refer to a strictly lower triangular matrix rather than a general lower triangular matrix. This distinction is influencing the discussion significantly.

Nusc
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Homework Statement



If S is a lower triangular matrix (n by n), S^n is the zero matrix.



Homework Equations





The Attempt at a Solution



S =

0 0 0 0 ... 0
1 0 0 0 ... 0
0 1 0 0 ... 0
0 0 1 0 ... 0
...
0 0 0 0 .1.0


S^2 =


0 0 0 0 ... 0
0 0 0 0 ... 0
1 0 0 0 ... 0
0 1 0 0 ... 0
...
0 0 0 0 1.. 0


How do I show this using induction?
 
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Are you sure it's true?
 
No. So given S as I defined above then computing S^2, and S^3 so forth, the entries lower each row for each n. how do I generalize this?
 
Use the definition of matrix multiplication to show that the value of Sk-1k,1 = 1 but Sk-1< k,* = 0 and Sk-1k, >1and<n = 0 => Sk*,* = 0.

Where * means any row and any column.

edit: If you are trying to prove that statement in general, you might want to consider the identity matrix which is both n x n and lower triangular.
 
First, a lower triangular matrix is one where the entries above the diagonal are zero. The matrix you show has ones down the lower subdiagonal and zeroes everywhere else.
Second, the statement isn't true.

Here's a counterexample for n = 3.

S =
[1 0 0]
[1 1 0]
[1 1 1]

S^2=
[1 0 0]
[2 1 0]
[3 2 1]

S^3=
[1 0 0]
[3 1 0]
[6 3 1]

The upshot is that S is a lower triangular 3 x 3 matrix, but S^3 != 0.
 
Are you sure the question isn't in regards to a 'strictly lower triangular matrix'?
 
The matrix is this:

S =

0 0 0 0 ... 0
1 0 0 0 ... 0
0 1 0 0 ... 0
0 0 1 0 ... 0
...
0 0 0 0 .1.0

it's not a lower triangular matrix.
 
It would be helpful if we knew exactly how the problem is stated. In your first post, here is what you had:

Homework Statement



If S is a lower triangular matrix (n by n), S^n is the zero matrix.

The somewhat sparse n x n matrix with 1s on the subdiagonal appeared in your attempt at a solution.

Is the problem statement to show that for that matrix S, S^n = 0?

Inquiring minds would like to know...
 
Okay.
Given
=

0 0 0 0 ... 0
1 0 0 0 ... 0
0 1 0 0 ... 0
0 0 1 0 ... 0
...
0 0 0 0 .1.0

Compute (S^n)(S^n*) and (S^*n)(S^n)

where * is the complex conjugate transpose.
 
  • #10
Nusc said:
The matrix is this:

S =

0 0 0 0 ... 0
1 0 0 0 ... 0
0 1 0 0 ... 0
0 0 1 0 ... 0
...
0 0 0 0 .1.0

it's not a lower triangular matrix.
Actually, that is a "lower triangular matrix" (it has only 0s above the main diagonal), just not a general lower triangular matrix as was intially implied.
 
  • #11
So in Compute (S^n)(S^n*) and (S^*n)(S^n)
they're both zero correct?
 

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