Can you easily invert 3 by 3 matrices using a simple formula?

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Discussion Overview

The discussion revolves around methods for inverting 3 by 3 matrices, exploring various techniques and concepts related to linear algebra, including Gaussian elimination and the role of determinants in determining the existence of an inverse.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related
  • Debate/contested

Main Points Raised

  • Some participants suggest that inverting a 3 by 3 matrix can be done using Gaussian elimination, where the matrix is augmented with the identity matrix.
  • Others mention that while Gaussian elimination is a straightforward method, there are alternative methods such as using cofactors divided by the determinant.
  • One participant questions the understanding of Gaussian elimination, prompting a brief explanation of the method as a way to eliminate variables in a system of equations.
  • It is noted that not all matrices have inverses, and a matrix must be nonsingular (having a nonzero determinant) to possess an inverse.
  • Another participant clarifies that singular matrices have zero determinants and therefore do not have inverses, while nonsingular matrices do have inverses.
  • A formula for the inverse of an n x n matrix is proposed, involving the determinant and the adjugate of the matrix, though the participant expresses uncertainty about their recollection of the topic.

Areas of Agreement / Disagreement

Participants express differing views on the methods for inverting matrices and the definitions of singular and nonsingular matrices. There is no consensus on a single approach or understanding, and some points remain contested.

Contextual Notes

Limitations include potential misunderstandings of linear algebra concepts, such as the definitions of singular and nonsingular matrices, and the application of Gaussian elimination. There is also uncertainty regarding the formula for the inverse of a matrix.

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Anyone know how to do it? Please provide an easy explanation. Please help. Thank you.
 
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Isn't it like inverting any other form of matrix? You write up your matrix and the identity matrix like so:

Code:
a b c | 1 0 0
d e f | 0 1 0
g h i | 0 0 1

And perform Gaussian elimination until you reach:

Code:
1 0 0 | x y z
0 1 0 | p q w
0 0 1 | r t u

Then the matrix to the right of the |-signs is the inverse you're looking for.
 
Last edited:
Yep. There are other methods (cofactors divided by determinant) but row-reduction is the simplest.
 
Originally posted by Muzza
Isn't it like inverting any other form of matrix? You write up your matrix and the identity matrix like so:

Code:
a b c | 1 0 0
d e f | 0 1 0
g h i | 0 0 1

And perform Gaussian elimination until you reach:

Code:
1 0 0 | x y z
0 1 0 | p q w
0 0 1 | r t u

Then the matrix to the right of the |-signs is the inverse you're looking for.

Awesome! But.. umm... what is Gaussian elimination?
 
If you are going to ask questions about Linear Algebra it would be a good idea to read at least the first few chapters of a textbook on linear algebra!

"Gaussian Elimination" is basically the method of "elimination of variables" to solve a system of equations- multiply one equation by a number, add to another in order to eliminate one of the variables. It is often used specifically to denote the same thing applied to matrices of coefficients of the equations.
 
Oh, that? I get it. Thank you.
 
My reply

hello.

It would also be better to practice solving for the inverse of a matrix. And, it would be easier for you if you know know the topic by heart. =)

Of course, not all matrices have an inverse, or what we call a nonsingular matrix. This is very "special" later in the topic.
One example is the use of determinants.

Start with basics
 


Originally posted by franz32

Of course, not all matrices have an inverse, or what we call a nonsingular matrix. This is very "special" later in the topic.
One example is the use of determinants.

Start with basics


Yeah if the determinant of a matrix is zero, it does not contain an inverse and is a nonsingular matrix.
 
You've got singular and nonsingular backward. Singular matrices have zero determinants and don't have inverses, because in computing the inverse you divide by the determinant (even if you don't think you do!) and dividing by zero is a "singular" mathematical operation, i.e. not defined.

Nonsingular matrices do have inverses, and necessarily then they have nonzero determinants.
 
  • #10
I believe the formula for the inverse of a nxn matrix is

inverse of A = 1/(det(A)) * adj(A)

i speak under correction. we did this last year and i have forgotten most of last year's stuff during the holidays
 

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