Using inverses to solve systems of equations

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SUMMARY

The discussion centers on the use of the identity matrix in solving systems of equations, specifically how the equation ##X = IX## is derived. Participants clarify that the identity matrix, denoted as ##I_n##, maintains the original vector ##X## when multiplied. The relationship ##A^{-1}A = I## is emphasized, demonstrating the properties of matrix multiplication and the associativity law in the context of linear algebra. This foundational understanding is crucial for manipulating equations involving matrices.

PREREQUISITES
  • Understanding of matrix multiplication
  • Familiarity with identity matrices, specifically ##I_n##
  • Knowledge of inverse matrices, denoted as ##A^{-1}##
  • Basic concepts of linear algebra and systems of equations
NEXT STEPS
  • Study the properties of identity matrices in linear algebra
  • Learn about matrix inverses and their applications in solving equations
  • Explore the concept of matrix associativity in depth
  • Practice solving systems of equations using matrix methods
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone interested in solving systems of equations using matrix methods will benefit from this discussion.

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Homework Statement
Please see below
Relevant Equations
Please see below
For this,
1682305758972.png

Can someone please tell me where they got ##X = IX## from?

Many thanks!
 
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From the definition of ##I##. It is the one in matrix multiplication.
$$
\begin{pmatrix}x_{11}&\ldots &x_{1n}\\ \vdots&&\vdots \\x_{n1}&\ldots &x_{nn}\end{pmatrix} \cdot \underbrace{\begin{pmatrix}1&0&\ldots&0&0\\ 0&1&\ldots&0&0 \\ \vdots&\vdots&\ddots&\vdots&\vdots \\
0&0&\ldots&0&1 \end{pmatrix}}_{=I}=\begin{pmatrix}x_{11}&\ldots &x_{1n}\\ \vdots&&\vdots \\x_{n1}&\ldots &x_{nn}\end{pmatrix}
$$

Then they used ##A^{-1} A= I## and the associativity law: ##(I\cdot X)=((A^{-1}A)X)=(A^{-1}(AX))=A^{-1}B.##
 
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fresh_42 said:
From the definition of ##I##. It is the one in matrix multiplication.
$$
\begin{pmatrix}x_{11}&\ldots &x_{1n}\\ \vdots&&\vdots \\x_{n1}&\ldots &x_{nn}\end{pmatrix} \cdot \underbrace{\begin{pmatrix}1&0&\ldots&0&0\\ 0&1&\ldots&0&0 \\ \vdots&\vdots&\ddots&\vdots&\vdots \\
0&0&\ldots&0&1 \end{pmatrix}}_{=I}=\begin{pmatrix}x_{11}&\ldots &x_{1n}\\ \vdots&&\vdots \\x_{n1}&\ldots &x_{nn}\end{pmatrix}
$$

Then they used ##A^{-1} A= I## and the associativity law: ##(I\cdot X)=((A^{-1}A)X)=(A^{-1}(AX))=A^{-1}B.##
Thank you for your help @fresh_42! I see now.
 
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ChiralSuperfields said:
Can someone please tell me where they got ##X = IX## from?
This should be obvious. Based on the initial post, X is a column vector. If X consists of n elements, multiplication of X by an n x n identity matrix ##I_n## produces exactly the same vector X. This is analogous to writing ##b = 1 \cdot b## for ordinary numbers.
 
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ChiralSuperfields said:
Homework Statement: Please see below
Relevant Equations: Please see below

For this,
View attachment 325404
Can someone please tell me where they got ##X = IX## from?

Many thanks!
The ##I## should trigger the phrase "##I##dentity Matrix". It was the reason ##I## was chosen rather than some other letter in the first place.
 
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