Simple Proofs for Matrix Algebra Properties: A Beginner's Guide

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SUMMARY

This discussion focuses on proving fundamental properties of matrix algebra, specifically the commutativity of matrix addition and the distributive property of scalar multiplication over matrix addition. The first proof demonstrates that for matrices A and B, A + B = B + A by using the component-wise definition of matrix addition and the commutativity of real numbers. The second proof, which involves showing that (c+d)A = cA + dA, requires breaking down the matrix operations into their individual components and applying the definition of scalar multiplication.

PREREQUISITES
  • Understanding of matrix addition and its component-wise definition
  • Familiarity with scalar multiplication of matrices
  • Basic knowledge of linear algebra concepts
  • Commutative and distributive properties of real numbers
NEXT STEPS
  • Study the component-wise definition of matrix operations
  • Learn about scalar multiplication in matrix algebra
  • Explore formal proof techniques in linear algebra
  • Practice additional proofs involving matrix properties
USEFUL FOR

Students of linear algebra, educators teaching matrix algebra, and anyone looking to strengthen their understanding of matrix properties and proof techniques.

leehufford
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Hello,

So I am struggling with a couple very simple proofs of properties of matrix algebra. This is the first time I have ever had real proofs in math (Linear algebra). For the first one, I have it from our text but need a little help, and I am completely lost on the second one.

1) Prove that for matrices A and B that

A + B = B + A

We must show that the entries are identical for each. Therefore

(A+B)ij = (B+A)ij

= Aij + Bij (Definition of addition??)
= Bij + Aij (Commutativity of real numbers)
= (B+A)ij (Definition of addition??)

So I totally get step 2. We're proving the commutativity of matrices, so we are allowed to use the commutativity of real numbers. But when the book says "definition of addition" it seems like they mean to say "distributivity"... so this is throwing me off.

Proof number 2 is:

Prove that (c+d)A = cA + dA where c,d are scalars and A is a matrix.

The only thing I can think to do is assume that their entries are equal, like in the first one, but then I am not sure where to go from there. So in summary,

1) Why does the book say "definition of addition" when it does and,
2) What is the first/second step for proof #2?

The book really doesn't provide any strategies for proofs, it seems like every proof is different at this point. I'm just not "seeing" it yet. Thanks so much in advance,

-Lee
 
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Definition of addition: think of 1+2 = (1+2) = 3. It seems hard to explain further.
 
mathman said:
Definition of addition: think of 1+2 = (1+2) = 3. It seems hard to explain further.

I was having a hard time with the equivalence of (A+B)ij = Aij + Bij.

While previewing my post I think I got it. Because addition of matrices is defined component wise the statement is true. Its the component wise definition of matrix addition here. Its a little more than (1 + 2) = 3 right? Did I explain it further?

Any advice for proof #2?

Thanks for the reply.

Lee
 
I think it would have been better if the book said "definition of matrix addition", not just "definition of addition".

You have the right idea for #2. It can take a bit of practice to "see" how to write out this type of proof formally, though.

Remember A is a matrix, but Aij is just a number. You know how to do arithmetic with numbers. You are trying to prove things about doing arithmetic with matrices. So you need to break the matrix operation down into numbers, do the arithmetic, and then convert the result back into a matrices.

I would start with
[ (c+d)A ]ij
= (c+d)Aij (definition of scalar multiplication)
etc
 

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