Calculating Powers of a Matrix: Math Problem for Grade 11

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    Grade 11 Matrix
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Discussion Overview

The discussion revolves around calculating powers of a specific matrix, M, defined as M=(2 0)(0 2), for various values of n. Participants explore methods for finding M^n, looking for patterns and general expressions, while also addressing similar problems with different matrices.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant expresses difficulty in solving the problem and seeks assistance.
  • Another participant suggests calculating M^2, M^3, M^4, and M^5 by hand to identify a pattern.
  • Some participants note that the first and last elements of the resulting matrices appear to follow the pattern of 2 raised to the power of n.
  • One participant proposes the equation M^n = M*2^(n-1) as a specific case for this matrix.
  • Another participant questions the validity of expressing M^n as (2^n 0)(0 2^n) and seeks clarification on general formulas for different matrices.
  • A participant introduces the concept of diagonalization and provides a general formula involving eigenvalues and eigenvectors for matrices with unique eigenvectors.
  • One participant suggests that M can be expressed as M=2*I_2, leading to a potential proof by induction for M^n=2^n*I_2.
  • Some participants express concern about the complexity of certain explanations and seek simpler approaches suitable for grade 11 math.
  • A later post introduces a more complex expression for a different matrix and requests feedback on its validity.

Areas of Agreement / Disagreement

Participants do not reach a consensus on a general formula applicable to all matrices, and multiple competing views and approaches are presented throughout the discussion.

Contextual Notes

Some participants highlight the limitations of specific formulas, noting that they may only apply to matrices with certain structures, such as having zeros on the diagonal.

Who May Find This Useful

Students studying linear algebra or those interested in matrix operations, particularly at the high school level.

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hi guys, today i was confonted with this problem in grade 11 high school math.

consider the matrix M=(2 0)
(0 2)

calculate M^n for n = 2,3,4,5,10,20,50

and find a general expression for the matrix M^n in terms of n.

*******************************************
this problem has troubled me a lot, and no matter how hard i tried, i couldn't find a solution...could someone help me out here?
thanks guys
 
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Find M^2, M^3, M^4 and M^5 by hand. What do you get? do you see a pattern?
 
yeah...the first and the last element are 2^the power given.

but how do i put this into a equation?
thanks again for all your help!
 
M^n = M*2^(n-1) is the equation for this particular matrix only. The equation differs for others.
 
Since you expressed M as
(2 0)
(0 2)
what's wrong with Mn as
(2n 0)
(0 2n) ?
 
I have the same question and am just wondering what your final general formula was... the (2^n 0)
(0 2^n) one only works when there are zeros on the diagonal and I have a question where the matrix is (3 1)
(1 3)
-I don't understand the outcome answers when it is squared :
(10 6)
(6 10) -is there a general formula to use? What are matrices like this called?
 
Ibnerd said:
I have the same question and am just wondering what your final general formula was... the (2^n 0)
(0 2^n) one only works when there are zeros on the diagonal and I have a question where the matrix is (3 1)
(1 3)
-I don't understand the outcome answers when it is squared :
(10 6)
(6 10) -is there a general formula to use? What are matrices like this called?

Any matrix with unique eigenvectors and eigen values can be diagonalized:

A=V D V^-1

Where D is a diagonal matrix of the eign values
and
The ith column of V is the eign vector which corresponds to the eign value on the diagnal of the ith column of D.

A^2=V D V^-1 V D V^-1=V D (V^-1 V) D V^-1=
V D I D V^-1=V D D V^-1=V D^2 V^-1

In general

A^N=V D^N V^-1

Your above expression is simple enough that just by doing regular multiplication you might be able to see the pattern without applying the above theory.
 
The matrix [itex]M[/itex] can be written as [itex]M=2\,I_2[/itex], where [itex]I_2[/itex] is the unit [itex]2\times2[/itex] matrix. Thus [itex]M^2=2\,I_2\cdot 2\,I_2=2^2\, I_2^2=2^2\,I_2[/itex]. Try the same thing for [itex]M^3,\,M^4,\dots[/itex] If you want to prove that [itex]M^n=2^n\,I_2[/itex] use induction.
 
Just noticed that this thread is almost 4 months old! :smile:
 
  • #10
Thanks for the help-is there a simpler way to prove that-I've never heard of the stuff you are referring to...this is for grade 11 math. Thanks again though!
 
  • #11
Well, I didn't learn it until I was in college!
 
  • #12
I got the exact same problem, and am pretty sure that there is some relatively 11th grade adequate way to approach this. Maybe something with step 3, where (k+1 k-1) this matrix applies to both the example (2 0) and (3 1)
_________________(k-1 k+1) __________________________________(0 2) ___(1 3)

I really can't find a general equation for the last one in terms of k and n...
 
Last edited:
  • #13
Solution??

After some serious work on my last post i came up with this, feedback please!
This is matrix Mk raised to the nth power.

M[tex]^{N}_{K}[/tex] = [tex]\left([(k+1) +(k - 1)\sum^{n}_{x=1} k^{x}] [(k-1) +(k - 1)\sum^{n}_{x=1} k^{x}] \right)[/tex]
[tex]\left([(k - 1) +(k - 1)\sum^{n}_{x=1} k^{x}] [(k + 1) +(k - 1)\sum^{n}_{x=1} k^{x}] \right)[/tex]

(The thumbnail is a lot clearer)
 

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