Undergrad Solve the system of linear equations

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SUMMARY

The discussion focuses on solving a system of linear equations using row operations to achieve the Row Reduced Echelon Form (RREF). The author demonstrates a step-by-step approach with a specific matrix and outlines the arithmetic involved in obtaining the solutions for variables x1, x2, and x3. The conversation emphasizes the importance of understanding the underlying arithmetic rather than relying solely on software tools, although it suggests using tools like Excel for efficiency in practical applications.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically systems of linear equations.
  • Familiarity with matrix operations, including row operations and RREF.
  • Basic knowledge of software tools for mathematical computations, such as Excel.
  • Ability to interpret and manipulate mathematical notation and expressions.
NEXT STEPS
  • Explore the use of MATLAB for solving systems of linear equations efficiently.
  • Learn about Python libraries such as NumPy for matrix operations and solving linear systems.
  • Investigate the concept of determinants and their role in linear algebra.
  • Research advanced matrix techniques, including diagonalization and eigenvalues.
USEFUL FOR

Students, educators, and professionals in mathematics, engineering, and data science who are looking to enhance their understanding of linear algebra and improve their problem-solving skills in practical applications.

chwala
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TL;DR
Looking at this now- refreshing on rref kindly see attached.
1708211357241.png


1708211377555.png


This is fine but i have my own approach as follows;


##\begin{pmatrix}
-7 & -6 & -12 & -33 \\
5 & 5 & 7& 24 \\
1 & 0 & 4 & 5
\end{pmatrix} ## → Row 1 times 5 and row 2 times 7...

##\begin{pmatrix}
-35 & -30 & -60 & -165 \\
35 & 35 & 49& 168 \\
1 & 0 & 4 & 5
\end{pmatrix}## →

##\begin{pmatrix}
-35 & -30 & -60 & -165 \\
0 & 5 & -11& 3 \\
1 & 0 & 4 & 5
\end{pmatrix}## → Row 1 minus row 2...

##\begin{pmatrix}
-35 & -30 & -60 & -165 \\
1 & 0 & 4& 5 \\
0 & 5 & -11 & 3
\end{pmatrix} ## → R3 and R2 switch...


##\begin{pmatrix}
-35 & -30 & -60 & -165 \\
0 & -30 & 80 & 10 \\
0 & 5 & -11 & 3
\end{pmatrix} ## → R3 times 6 then subtract from R2

##\begin{pmatrix}
-35 & -30 & -60 & -165 \\
0 & -30 & 80 & 10 \\
0 & 0 & 14 & 28
\end{pmatrix} ##

##14x_3=28, x_3=2##

##-30x_2+160=10##

##x_2=5##

##-35x_1-30x_2-60x_3=-165##

##-35x_1-150-120=-165##

##-35x_1=105##

##x_1=-3##.

I fully understand the author's approach of having the leading elements for every row being ##1## conforming with the Row reduced echelon form...

just sharing...cheers
 
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As long as you know what is going on with the arithmetic, anything that works and that you can easily tackle "tags all the bases".
When attacking such problems in the workplace, there's little point to doing it manually - use a software tool.
As an additional exercise, you might want to code this up as a function - or set it up in a spread sheet (ex, Excel) where the matrix values can be changed and the output recomputed and displayed automatically.
 
.Scott said:
As long as you know what is going on with the arithmetic, anything that works and that you can easily tackle "tags all the bases".
When attacking such problems in the workplace, there's little point to doing it manually - use a software tool.
As an additional exercise, you might want to code this up as a function - or set it up in a spread sheet (ex, Excel) where the matrix values can be changed and the output recomputed and displayed automatically.
True, i know software can help in most of math problems... e.g multiplying matrices, finding determinants of matrices, diagonalize matrices etc...and many other math areas... but i prefer in most cases to use my human capabilities; it does wonders to my cognition/processing speed in dealing practically with life challenges... That's why i like doing Math.
Cheers mate.
 
Last edited:
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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