Finding a Solution to a Discrete Math Problem: Is Precise Necessary?

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Homework Help Overview

The discussion revolves around a discrete mathematics problem involving matrix multiplication and the exploration of methods for finding a solution. Participants are considering the appropriateness of various approaches for a first course in the subject.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to identify a pattern through multiplication and questions the precision of their method. Some participants suggest proving the identified rule using induction, while others propose using orthogonalization techniques. There is a discussion about the applicability of these methods given the current level of study.

Discussion Status

Participants are actively engaging with different methods and exploring their validity. Some guidance has been offered regarding induction and matrix representation, but there is no explicit consensus on the best approach yet.

Contextual Notes

It is noted that the original poster has not yet learned about orthogonalization, and there is a mention of the matrix not being diagonalizable, which may affect the methods discussed.

Bashyboy
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Homework Statement


I attached the problem as a file

Homework Equations


The Attempt at a Solution


The way I tried to solve this was to write out a few multiplications and find a pattern. I got the right answer, but I was wondering if there was more of a precise way of doing it; or would the procedure that I used be acceptable for a first course in Discrete Mathematics?
 

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After you found the rule, try proving it using induction. Show first that it holds for n=2 and then show if it holds for n, then it also holds for n+1.
 
Or use orthogonalisation(writing A in the form of C^{-1}BC) in which B is an orthogonal matrix. Then the multiplication can be simplified into: A^n = C^{-1}B^{n}C.
 
Last edited:
Thank you, Clamtrox.

Raopenq, we haven't learned about orthogonalisation.
 
Good, because the matrix is not diagonalizable :) If you want to understand a bit more what's happening here, it might be useful to write the matrix as
A = \left( \begin{array}{cc} 1 & 1 \\ 0 & 1 \end{array} \right) = \left( \begin{array}{cc} 1 & 0 \\ 0 & 1 \end{array} \right) + \left( \begin{array}{cc} 0 & 1 \\ 0 & 0 \end{array} \right)
and then look how these two matrices multiply together.
 
Start by multiplying out A2 and A3, what do you notice about the entry a12? Also, use the fact that matrix addition is entry wise.

Both of these should allow you to complete a full induction proof.
 
oops sorry...
 

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