Algebraic Properties of Matrix Operations

In summary, the conversation discusses a proof that A=B using the fact that A^2=AB. However, the flaw in the proof is that it assumes A-B=O, when in fact it should be A(A-B)=O. The flaw can be demonstrated by finding two 2x2 matrices D and E such that DE=0 and neither D nor E is 0.
  • #1
EV33
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1. Homework Statement

Let A and B be (2x2) matrices such that A^2 = AB and A does not equal the zero matrix O. Find the flaw in the following proof that A = B:

Since A^2 = AB, A^2 - AB = the zero matrix O
Factoring yields A(A-B) = O
Since A does not equal O, it follows that A - B = O.
Therefore, A = B.



3. The Attempt at a Solution

I tried setting up two matrices A and B where A = [ a b, c d] and B = [ e f, g h] and following through on the steps of the proof to see if each of the statements was true. However, I kept finding that they were all true.

Please help.
Thanks.
 
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  • #2
Can you find two 2x2 matrices D and E such that DE=0 and neither D nor E is 0? That would be a flaw, wouldn't it?
 

What are the basic properties of matrix addition?

The basic properties of matrix addition are commutativity, associativity, and the existence of an additive identity. Commutativity means that the order of addition does not change the result. Associativity means that the grouping of terms does not change the result. The additive identity is the zero matrix, which when added to any matrix will result in the original matrix.

What are the basic properties of matrix multiplication?

The basic properties of matrix multiplication are associativity, distributivity, and the existence of a multiplicative identity. Associativity means that the grouping of terms does not change the result. Distributivity means that matrix multiplication distributes over matrix addition. The multiplicative identity is the identity matrix, which when multiplied by any matrix will result in the original matrix.

What is the difference between matrix addition and matrix multiplication?

The main difference between matrix addition and matrix multiplication is the way they combine two matrices. Addition combines corresponding elements of two matrices to create a new matrix, while multiplication combines all elements in each row of the first matrix with all elements in each column of the second matrix to create a new matrix.

How do the properties of matrix operations affect solving systems of linear equations?

The properties of matrix operations, such as associativity and distributivity, allow us to manipulate and simplify systems of linear equations. This makes it easier to solve these equations using matrix operations, as we can use these properties to rearrange and group terms in a way that is more convenient for solving.

Are there any other important properties of matrix operations?

Yes, there are other important properties of matrix operations, such as closure, invertibility, and the existence of an additive and multiplicative inverse. Closure means that the result of a matrix operation is always a matrix of the same size and type as the original matrices. Invertibility means that a matrix can be multiplied by another matrix to give the identity matrix. The additive and multiplicative inverse properties are similar to the inverse properties in regular algebra, where adding or multiplying by a certain value will result in the identity element.

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