What is the nth term of this matrix?

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Discussion Overview

The discussion revolves around finding the nth term of a specific matrix, represented as A, and exploring methods to compute higher powers of the matrix, particularly A^50. Participants discuss various approaches, including diagonalization and the Cayley-Hamilton theorem, while seeking clarification on the concept of "nth terms of a matrix."

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks to determine the nth terms of the matrix A = \begin{pmatrix} 2 & 1 & 1\\ 2 & 3 & 2 \\ 1 & 1 & 2\end{pmatrix} and subsequently find A^{50}.
  • Another participant suggests diagonalization as a standard method for finding powers of matrices and questions if the original poster has attempted it.
  • A participant expresses interest in finding the nth term through successive calculations of A^1, A^2, A^3, etc., and questions the efficiency of this method compared to diagonalization.
  • One participant mentions the Cayley-Hamilton theorem as a potential method for finding powers without diagonalization and asks if the characteristic polynomial has been determined.
  • Several participants express uncertainty about the term "nth terms of a matrix," with some assuming it refers to the nth power of the matrix.
  • A participant describes using Wolfram Alpha to find the Jordan form of the matrix and suggests calculating powers based on that form.
  • Another participant notes that if the matrix is not diagonalizable, it can be expressed in Jordan Normal Form, which complicates finding the nth power but is still feasible.
  • One participant explains that higher powers of the matrix can be expressed as linear combinations of lower powers using the characteristic polynomial.
  • Another participant elaborates on how to handle a matrix in Jordan Normal Form and suggests that this method could also yield A^{50}.

Areas of Agreement / Disagreement

Participants express varying opinions on the best method to find the nth term of the matrix, with some favoring diagonalization and others exploring alternative methods like the Cayley-Hamilton theorem and Jordan Normal Form. There is no consensus on a single approach, and the discussion remains unresolved regarding the most efficient method.

Contextual Notes

Participants mention the complexity of calculating higher powers of the matrix, particularly when using the Cayley-Hamilton theorem, which may lead to high-degree polynomials. The discussion also highlights the potential challenges of working with non-diagonalizable matrices.

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Hello,
I would like to know what are the nth terms of the following matrix,

[itex]\begin{pmatrix} 2 & 1 & 1\\ 2 & 3 & 2 \\ 1 & 1 & 2\end{pmatrix} = A^{1}[/itex]

I want find the general terms of the matrix, and then can find [itex]A^{50}[/itex]

Thank you very much for your help
a greeting
 
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The standard method is to diagonalize, right? So have you done it? Where are you stuck?
 
Exactly, I have used diagonalization but as I'd like to know if there is also the possibility to find the nth term of the matrix calculating of this form: A ^ 1, A ^ 2, A ^ 3 ... until being able to find some relation.

you think is too long or too compiled by calculating power and is it not better to use diagonalization?assuming that the matrix is not diagonizable, how you would calculate the nth term?
 
The easiest method without diagonalization is using the Cayley-Hamilton theorem. So, did you find the characteristic polynomial??
 
inverse said:
Hello,
I would like to know what are the nth terms of the following matrix,

[itex]\begin{pmatrix} 2 & 1 & 1\\ 2 & 3 & 2 \\ 1 & 1 & 2\end{pmatrix} = A^{1}[/itex]

I want find the general terms of the matrix, and then can find [itex]A^{50}[/itex]

Thank you very much for your help
a greeting


Just for curiosity: what exactly do you call "nth terms of matrix" to?? Seems like other responders know, but I still have no idea.

DonAntonio
 
DonAntonio said:
Just for curiosity: what exactly do you call "nth terms of matrix" to?? Seems like other responders know, but I still have no idea.

DonAntonio

Yeah, I have no idea either. I just assumed he wanted to find the nth power of the matrix.
 
Allow me to expand on what Hurkyl was thinking.

I put {{2,1,1},{2,3,2},{1,1,2}} into wolfram alpha (after typing "matrix" into find grab the format) and got [itex]A=SJS^{-1}[/itex]. Then [itex]A^2=(SJS^{-1})^2=SJ^2S^{-1}[/itex] (check why that is true). I want you to find what [itex]J^2[/itex] is. Then find what [itex]A^n=(SJS^{-1})^n[/itex] is using the same idea.

note: wolfram alpha will tell you what S and J are.

Cayley Hamilton theorem looks interesting, and probably has great applications, but I don't think you'd want to use it here, you'd be dealing with a 50th degree polynomial right?
 
micromass said:
Yeah, I have no idea either. I just assumed he wanted to find the nth power of the matrix.

Yes, I want to find the nth power of the matrix without diadiagonalization.

It is possible with Cayley–Hamilton theorem?
 
algebrat said:
you'd be dealing with a 50th degree polynomial right?

Exactly
 
  • #10
No, you would end up with something like

[tex]A^{50}=aA^3+bA^2+cA+d[/tex]

of course, to get it in that form, you'd have to calculate somewhat. Or you would have to be lucky and notice a pattern.

Why don't you want to use diagonalization??
 
  • #11
micromass said:
No, you would end up with something like

Why don't you want to use diagonalization??

I have no problem in using diagonalization, I have just curious as you'd calculate if the matrix was not diagonizable
 
  • #12
Any matrix that is not diagonalizable can be put into "Jordan Normal Form". It is a little harder to find the nth power of a Jordan Normal Form Matrix but not impossibly so.

Or, as micromass suggested, since this is three by three matrix, its characteristic polynomial is of degree at most 3 and A itself must make that equal to 0. That is, the third power of A can be written as a linear combination of lower powers. And, of course, higher powers of A can be reduced successively to quadratic and lower powers.

Here, [itex]A^3= 7A^2- 11A+ 5I[/itex] so that [itex]A^4= 7A^3- 11A^2+ 5A= 7(7A^2- 11A+ 5I)- 11A^2+ 5A[/itex][itex]= (49A^2- 77A+ 35I)- 11A^2+ 5A= 38A^2- 72A+ 35I[/itex] etc.
 
  • #13
inverse said:
I have no problem in using diagonalization, I have just curious as you'd calculate if the matrix was not diagonizable
You would write it as
A = P(D + N)P^(-1)​
where D is diagonal, N is nilpotent, and D commutes with N (e.g. the Jordan Normal Form that HoI mentioned). When you work out the algebra, you essentially end up with a "Taylor series" centered on D:

f(A) = P (f(D) + N f'(D) + (1/2) N^2 f''(D) + ...) P^(-1)​

which terminates, because N^k = 0 for some k.
 
  • #14
Hurkyl said:
You would write it as
A = P(D + N)P^(-1)​
where D is diagonal, N is nilpotent, and D commutes with N (e.g. the Jordan Normal Form that HoI mentioned). When you work out the algebra, you essentially end up with a "Taylor series" centered on D:

f(A) = P (f(D) + N f'(D) + (1/2) N^2 f''(D) + ...) P^(-1)​

which terminates, because N^k = 0 for some k.

I can already get A^50 whith this, right?

Thanks to all!
 

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