Matrices and systems of equations

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SUMMARY

This discussion centers on the application of matrices in solving systems of equations, particularly through Gaussian elimination and determinants. The user expresses a desire to deepen their understanding of matrix theory, especially in relation to systems of differential equations. They recommend "Linear Algebra Done Wrong" by Sergei Treil as a valuable resource for rigorous learning. The conversation highlights the importance of understanding the relationship between matrix operations and the solutions to linear equations.

PREREQUISITES
  • Understanding of Gaussian elimination
  • Familiarity with determinants
  • Basic knowledge of linear algebra concepts
  • Experience with systems of linear equations
NEXT STEPS
  • Study the properties of determinants in depth
  • Explore advanced topics in linear algebra, such as eigenvalues and eigenvectors
  • Learn about matrix transformations and their applications
  • Investigate the use of matrices in solving differential equations
USEFUL FOR

Students and professionals in mathematics, particularly those focusing on linear algebra, systems of equations, and differential equations. This discussion is beneficial for anyone seeking to enhance their understanding of matrix theory and its applications.

Avatrin
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Hi

I am now filling in what I perceive to be gaps in my knowledge. One of these problems is understanding why matrices can solve systems of equations. I do completely get Gaussian elimination to solve systems of linear equations. However, when using determinants and the like to solve, for instance, systems of differential equations, I do not feel I have properly learned why that works.

Whenever I pick up a book on systems theory, I am reminded that I understand metric spaces and Lebesgue integration better than something as basic as a matrix. I need to change that.

What book can, through a rigorous manner, explain matrix theory to me?
 
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Almost any book on linear algebra will do. "Linear algebra done wrong" by Sergei Treil recently became my favorite linear algebra book.
 
Perhaps it would help to look at a very simple example. Suppose we have the equations ax+ by= c and dx+ ey= f. I decide to eliminate "y" and solve for x. Multiply the first equation by "e": aex+ bey= ce. Multiply the second equation by b: bdx+ bey= bf. Now that y has the same coefficient in each equation, we eliminate y by subtracting: (aex+ bey)- (bdx+ bey)= (ae- bd)x= ce- bf. So, as long as ae- bd is not 0, x= (ce- bf)/(ae- bd).

You can see that this is the same as "As long as \left|\begin{array}{cc}a & b \\ d & e\end{array}\right| is not 0,
x= \frac{\left|\begin{array}{cc} c & b \\ f & e \end{array}\right|}{\left|\begin{array}{cc}a & b \\ d & e\end{array}\right|}".
 

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