Powers of a superdiagonal matrix

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Discussion Overview

The discussion revolves around calculating powers of a superdiagonal matrix, specifically one defined with an arithmetic progression on the superdiagonal and zeros elsewhere. Participants explore methods for computing these powers, considering both theoretical and practical implications.

Discussion Character

  • Technical explanation, Exploratory, Debate/contested

Main Points Raised

  • One participant suggests that calculating powers of the matrix involves raising each diagonal element to the power being computed, assuming a misunderstanding of the matrix structure.
  • Another participant corrects this by noting that the diagonal elements are zeros, indicating that it is not a diagonal matrix and that the initial approach is incorrect.
  • A later reply proposes that the matrix may relate to Jordan Normal form, suggesting that further thought is needed to understand the implications of this structure.
  • Another participant introduces a basis format to express the matrix, suggesting a summation approach to represent the powers and indicating a pattern in the multiplication of the basis matrices.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the method for calculating the powers of the superdiagonal matrix. There are competing views on how to approach the problem, with some participants correcting earlier claims and others proposing alternative methods.

Contextual Notes

The discussion highlights the complexity of the matrix structure and the potential need for a deeper understanding of Jordan Normal form. There are unresolved assumptions regarding the properties of the matrix and the implications for calculating its powers.

protaktyn
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Hello,

while dealing with non-homogeneous equations with constant coefficients I met a following problem. I need an easy way to calculate powers of a superdiagonal matrix (every power up to n-1):

[tex]\mathbb N^{n}_{n} \ni \mathbb M_{n}:=\begin{bmatrix} 0&n-1&0&0&...&0&0&0&0\\0&0&n-2&0&...&0&0&0&0\\0&0&0&n-3&...&0&0&0&0\\...&...&...&...&...&...&...&...&...\\0&0&0&0&...&0&3&0&0\\0&0&0&0&...&0&0&2&0\\0&0&0&0&...&0&0&0&1\\0&0&0&0&...&0&0&0&0 \end{bmatrix}[/tex]

(zeros outside the superdiagonal, an arithmetic progression on the superdiagonal).

Thanks in advance.
 
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I think this is quite simple. You would simply raise each matrix element on the diagonal to the order of the power you are computing.

If you are computing M^2 then the element in a_{11} position would be (n-1)^2, a_{12} = (n-2)^2 and so on down the diagonal.

The then the (n-1)th power would return (in the a_{11} position) (n-1)^(n-1) and so on down the diagonal.

I think this is the solution unless I have totally misunderstood your matrix structure definition.
 
The diagonal elements are zeros here, so it won't work. It's not a diagonal matrix.
 
protaktyn said:
The diagonal elements are zeros here, so it won't work. It's not a diagonal matrix.


Whoops! Thought it was too easy. didn't read your laTex code correctly. Nor did I fully understand the terminology of "Super"diagonal.

I'll have another think. My intial thought here is that you would be dealing with matrices in Jordan Normal form. Are you familiar? If not they are upper triangular matrices of which there is a plethora of material on them. Your matrix above is a special type of Jordan Normal form where the upper triangular block is a itself a lower triangular matrix.

Some thought required here though.
 
Last edited:
I think it might be easiest to express in basis format. Define the matrix:
[itex]e^i\otimes e_j = \Lambda^i_j[/itex]
To be the matrix which is is zero everywhere except a 1 in the i-th row and j-th column.
Then your matrix is:
[tex]\mathbb{M}_n = (n-1)\Lambda^1_2 +(n-2)\Lambda^2_3 + \cdots + 1\Lambda^{(n-1)}_n=\sum_{k=1}^{n-1}(n-k)\Lambda^k_{k+1}[/tex]

In component form multiplication becomes [itex]\Lambda^i_j \Lambda^k_n = \delta^k_j \Lambda^i_n[/itex] where [itex]\delta[/itex] is the Kronecker delta.

Expanding the first power gives:
[tex](\mathbb{M}_n)^2 = \sum_{k=1}^{n-2}(n-k)(n-k-1)\Lambda^k_{k+2}[/tex]
I think you can see the pattern emerge.
 

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