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xlalcciax
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1. Let M(2,R) be the set of all 2 x 2 matrics over R. Give an example of matrices A,B,C in M(2,R) such that AB=AC, but B is not equal to C.
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What have you tried? You have to show some effort before we can provide any help.xlalcciax said:1. Let M(2,R) be the set of all 2 x 2 matrics over R. Give an example of matrices A,B,C in M(2,R) such that AB=AC, but B is not equal to C.
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Mark44 said:What have you tried? You have to show some effort before we can provide any help.
No, what this shows is that if A is invertible (has an inverse), then AB = AC implies that B = C. But you're not given that A is invertible.xlalcciax said:(A^-1)AB=(A^-1)AC so B=C. This shows that A must have no inverse element.
You mean B and C. See if you can cobble up different matrices B and C so that AB = 0 and AC = 0, but B != C.xlalcciax said:So A could be
1 0
0 0
because det(a)=1-0=0 so A has no inverse. I don't know what A and B could be.
Mark44 said:No, what this shows is that if A is invertible (has an inverse), then AB = AC implies that B = C. But you're not given that A is invertible.
You mean B and C. See if you can cobble up different matrices B and C so that AB = 0 and AC = 0, but B != C.
Mark44 said:By 0 I meant the 2 x 2 matrix whose entries are all 0.
A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. It is commonly used in mathematical operations and represents a set of equations or linear transformations.
AB=AC means that the product of matrix A and B is equal to the product of matrix A and C. In other words, the two matrices result in the same value when multiplied by matrix A.
Yes, for example:
A = [1 2; 3 4] and B = [2 -1; 4 -2] and C = [4 -2; 8 -4]
When multiplied by matrix A, both B and C result in the same value of [2 3; 4 5], but B is not equal to C.
This shows that matrix multiplication is not commutative, meaning the order of multiplication matters. While AB=AC, B and C are not interchangeable in the equation.
Matrices are used in various fields such as physics, economics, and computer science to model and solve complex systems. For example, in economic analysis, matrices can represent supply and demand relationships, and understanding their properties can help predict market outcomes.