Matrix Simplification: A = HG(FHG)^{-1}FG | Step-by-Step Solution

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It's the inverse of the whole product, not the inverse of each factor.In summary, the equation A = HG(FHG)^{-1}FG can be simplified to A = G by using the properties of inverse matrices and the identity matrix.
  • #1
JFonseka
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Homework Statement



Simplify

A = HG(FHG)[tex]^{-1}[/tex]FG

Homework Equations



None

The Attempt at a Solution



Well (FHG)^-1 is really just F^-1 H^-1 G^-1
Therefore A = HGG[tex]^{-1}[/tex]H[tex]^{-1}[/tex]F[tex]^{-1}[/tex]FG
GG^-1 = I
FF-1 = I

Therefore A = HIH[tex]^{-1}[/tex](IG)

The book now simplifies to HH[tex]^{-1}[/tex]G

I understand all the steps and the ending step, but I don't get how they got rid of the two I's

I X I = I (Identity Matrix), so where did it disappear to?

The final answer is: A = G

Thanks
 
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  • #2
Urgh, silly me, solved.

Identity matrix multiplied by another matrix just returns that matrix I forgot.

Silly problem. Sorry.
 
  • #3
JFonseka said:
Well (FHG)^-1 is really just F^-1 H^-1 G^-1

Not really. (FHG)^-1 = (G^-1)*(H^-1)*(F^-1).
 

FAQ: Matrix Simplification: A = HG(FHG)^{-1}FG | Step-by-Step Solution

What is matrix simplification?

Matrix simplification is the process of reducing a matrix to its most basic form by applying mathematical operations such as addition, subtraction, multiplication, and division. This is done to make the matrix easier to work with and to reveal important information about the data it represents.

Why is matrix simplification important?

Matrix simplification is important because it allows us to analyze and interpret data in a more efficient and meaningful way. It also helps in solving complex mathematical problems and in making calculations more manageable.

What are the different methods of matrix simplification?

There are several methods of matrix simplification, including row operations, column operations, and the use of elementary matrices. These methods involve manipulating the elements of the matrix to reduce it to a simpler form.

What are the benefits of using matrix simplification?

Using matrix simplification can help in identifying patterns and relationships in data, making predictions and forecasts, and solving systems of equations. It also allows for easier visualization and interpretation of data.

Are there any limitations to matrix simplification?

While matrix simplification can be a powerful tool, it is not always applicable or useful. In some cases, simplifying a matrix may result in the loss of important information or may not lead to a meaningful solution. It is important to consider the context and purpose of the matrix before deciding to simplify it.

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