Solving Row Echelon Form: Practicing Tips for Students

Click For Summary
SUMMARY

This discussion focuses on effectively practicing the reduction of matrices to Row Echelon Form (REF). Key strategies include starting with simple problems involving two or three variable systems and utilizing the linear combination method to understand the mechanics of matrix reduction. Participants emphasize the importance of careful arithmetic to avoid mistakes during calculations. The mechanical nature of row-reducing is highlighted, with a step-by-step approach provided for a 3x3 matrix example.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically matrix operations
  • Familiarity with the linear combination method
  • Basic arithmetic skills for matrix manipulation
  • Knowledge of Row Echelon Form and its properties
NEXT STEPS
  • Practice reducing various matrices to Row Echelon Form using different sizes and values
  • Explore the Gaussian elimination method for solving linear systems
  • Learn about the implications of matrix rank and its relation to REF
  • Investigate software tools like MATLAB or Python's NumPy for matrix operations
USEFUL FOR

Students studying linear algebra, educators teaching matrix operations, and anyone seeking to improve their skills in matrix reduction techniques.

Cpt Qwark
Messages
45
Reaction score
1
For some reason I just can't seem to wrap my head around the idea of reducing a Matrix to row echelon form. I'm familiar with the steps that the textbooks and tutorials use and how it's done but when I try practicing on my own I feel lost. e.g. all I end up with are just a bunch of random entries that don't bear any resemblance to row echelon form.
How would I practice better for this?
 
Last edited:
Physics news on Phys.org
Perhaps try working a simple problem, say a two or three variable system with integer solutions, in tandem with the linear combination method? If you understand linear combination then you know the mechanics of how to reduce a matrix to ref. Often times mistakes come from the arithmetic; make sure you double check each calculation.
 
While it might be possible to simplify the calculations for special matrices, in general "row-reducing" is a very "mechanical" procedure.
Here is the idea with a 3 by 3 general matrix:
\begin{bmatrix}a & b & c \\ d & e & f \\ g & h & i\end{bmatrix}

I see that the "first column, first row" is "a" and I know I want "1" there so divide every number in the first column by a
\begin{bmatrix}1 & b/a & c/a \\ d & e & f \\ g & h & i\end{bmatrix}
Now, I see that the "first column, second row" and "first column third row" are "d" and "g" respectively and I want "0" there. So subtract the first row times d from the second row and subtract the first row times g from the third row. That gives
\begin{bmatrix}1 & b/a & c/a \\ 0 & e- bd/a & f- bd/a \\ 0 & h- bg/a & i- bg/a\end{bmatrix}

That completes the first column. Now look at the "second column, second row". It is "e- bd/a= (ae- bd)/a" and I want "1" there. So divide every number in the second row by (ae- bd/a)
\begin{bmatrix} 1 & b/a & c/a \\ 0 & 1 & \frac{af- bd}{ae- bd} \\ 0 & \frac{ah- bg}{a} & {ai- bg}{a}\end{bmatrix}
There is now \frac{ah- bg}{a} in the "second column, third row" and we want "0" there. So subtract \frac{ah- bg}{a} times the second row from the third row.
\begin{bmatrix} 1 & b/a & c/a \\ 0 & 1 & \frac{af- bd}{ae- bd} \\ 0 & 0 & {ai- bg}{a}- \frac{ai- bg}{a}\frac{ah- bg}{a}\end{bmatrix}

Start at the upper left and work down and to the right, doing one column at a time. That way, the "1"s and "0"s you already have won't be changed by further work.
 
  • Like
Likes   Reactions: Cpt Qwark

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
10K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
5
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
40K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K