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

Click For Summary

Discussion Overview

The discussion revolves around proving properties of matrix algebra, specifically focusing on the commutativity of matrix addition and the distribution of scalar multiplication over matrix addition. Participants are seeking clarification on proof strategies and definitions related to these properties.

Discussion Character

  • Homework-related
  • Conceptual clarification
  • Technical explanation

Main Points Raised

  • Lee expresses confusion regarding the proof of the commutativity of matrix addition, particularly the use of the term "definition of addition" in the context of matrices.
  • Lee seeks guidance on how to approach the second proof involving scalar multiplication and matrix addition, indicating uncertainty about the steps to take.
  • Some participants clarify that matrix addition is defined component-wise, which supports the equivalence of the entries in the proof.
  • One participant suggests that the book should specify "definition of matrix addition" rather than just "definition of addition" to avoid confusion.
  • A later reply emphasizes breaking down matrix operations into their numerical components to facilitate understanding of the proofs.

Areas of Agreement / Disagreement

Participants generally agree on the need for clearer definitions and approaches to the proofs, but there is no consensus on the best way to articulate the definitions or the steps for the second proof.

Contextual Notes

There is a noted lack of strategies for proofs in the textbook, which contributes to the participants' confusion. The discussion highlights the importance of understanding the definitions and operations involved in matrix algebra.

leehufford
Messages
97
Reaction score
1
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
 
Physics news on Phys.org
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
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K