Linear Algebra: Finding the Inverse of a Matrix

In summary, to find A^-1, use row reduction to reduce A to the identity matrix and the elementary matrices corresponding to those row operations will multiply to give A^-1. This can be expressed as a product of at most five elementary matrices, which are the representation of elementary operations.
  • #1
LaraCroft
14
0
Linear algebra question...

Hello again!

Ok...so if I let A =

[0 1 0 ]
[1 1 -2]
[2 3 -3]

How would I find A^-1? Is that the notation for inverse?

Also, could I express A^-1 as a product of at most five elementary matrices? What does this mean exactly?

Thanks!:smile:
 
Physics news on Phys.org
  • #2


Elementary matrices are the representation of elementary operations. So see if you can get from the identity to A with five or fewer operations. Hint may help to instead see if you can go from A to I in five steps.

Elementary operations are
-interchange two rows
-multiply a row by a nonzero value
-add a multiple of a row to another
 
  • #3


Use row reduction to reduce A to the identity matrix. The elementary matrices corresponding to those row operations will multiply to give A-1.
 

FAQ: Linear Algebra: Finding the Inverse of a Matrix

What is linear algebra?

Linear algebra is a branch of mathematics that deals with linear equations and their representations in vector spaces. It involves the study of linear transformations, matrices, and systems of linear equations.

How is linear algebra used in science?

Linear algebra is used in various fields of science, including physics, engineering, computer science, and economics. It provides a framework for solving problems involving multiple variables and equations, making it useful for modeling and analyzing complex systems.

What are the basic concepts of linear algebra?

The basic concepts of linear algebra include vectors, matrices, linear transformations, systems of linear equations, and eigenvalues and eigenvectors. These concepts are used to represent and solve problems involving linear equations and transformations.

What are the applications of linear algebra in real life?

Linear algebra has numerous applications in real life, such as image and signal processing, data compression, machine learning, and cryptography. It is also used in economics to model and analyze supply and demand systems.

What are the benefits of studying linear algebra?

Studying linear algebra can improve problem-solving skills and provide a deeper understanding of mathematical concepts. It is also a fundamental tool for many fields of science and engineering, making it a valuable skill for future career opportunities.

Similar threads

Replies
3
Views
2K
Replies
8
Views
1K
Replies
9
Views
2K
Replies
1
Views
881
Replies
9
Views
2K
Replies
19
Views
2K
Replies
19
Views
2K
Back
Top