Prove the identity matrix is unique

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The discussion centers on proving the uniqueness of the identity matrix, with the user struggling to understand how the equation AC = BC implies A = B. They explore the implications of using different matrices A, including the zero matrix, and express confusion about the role of invertibility in their proof. Participants suggest that if A is invertible, one can multiply both sides of the equation by A's inverse to conclude that I_1 = I_2. The conversation also touches on the nature of vectors as matrices and their invertibility, clarifying that only square matrices can be invertible. Ultimately, the consensus is that the identity element must be unique under the right conditions.
  • #61
Mark44 said:
I think you mean ##A(I_1 - I_2) = 0##.
Ok, but just how are the two different? I'm not aware of any particular meaning of## [I_1- I_2].##.
 
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  • #62
WWGD said:
Ok, but just how are the two different?

WWGD said:
I'm not aware of any particular meaning of ##[I1−I2]##..
You wrote ##A(I_1 - A_2)## but I thought you meant ##A(I_1 - I_2)##.
If ##A(I_1 - I_2) = 0##, then using determinants you can deduce that ##I_1 = I_2##, which was the whole point in being able to say that the identity matrix must be unique.
 
  • #63
Mark44 said:
You wrote ##A(I_1 - A_2)## but I thought you meant ##A(I_1 - I_2)##.
If ##A(I_1 - I_2) = 0##, then using determinants you can deduce that ##I_1 = I_2##, which was the whole point in being able to say that the identity matrix must be unique.
True, if we assume ##A## is invertible. Otherwise, its right kernel isn't trivial, i.e. , it's not just ##\{0\}##, so in that case of ##A## being singular, it doesn't follow that ##I_1=I_2##. But if ##A## is nonsingular, then you're right.
 
  • #64
WWGD said:
True, if we assume ##A## is invertible. Otherwise, its right kernel isn't trivial, i.e. , it's not just ##\{0\}##, so in that case of ##A## being singular, it doesn't follow that ##I_1=I_2##. But if ##A## is nonsingular, then you're right.
From the beginning of this thread, it must be stated that the identities, ##I_1## and ##I_2##, work as identities for every possible ##A##. Otherwise, the conclusion that ##I_1=I_2## may be false.
 
  • #65
FactChecker said:
From the beginning of this thread, it must be stated that the identities, ##I_1## and ##I_2##, work as identities for every possible ##A##. Otherwise, the conclusion that ##I_1=I_2## may be false.
Ok, I guess I lost track of the " Initial Conditions". Using the Determinant alone ( assuming ##A## is square:

## Det(A(I_1-I_2))= DetADet( I_1-I_2))=0## implies either of the determinants is ##0##.

Though ## Det( I_1-I_2)=0## doesnt imply ##I_1=I_2##.

But I admit I may have somewhat lost track of were the discussion veered.
 
  • #66
PeroK said:
I completely missed that we were talking about rectangular matrices!
For the OP question it should not matter; uniqueness of the identity should be provable for any group (or at least any group that doesn't have some other weirdness like zero divisors). @FactChecker seems to me to have come up with the simplest derivation.
 
  • #67
PeterDonis said:
For the OP question it should not matter; uniqueness of the identity should be provable for any group (or at least any group that doesn't have some other weirdness like zero divisors). @FactChecker seems to me to have come up with the simplest derivation.
The set of ##m \times n## matrices (where ##m \ne n##) do not form a multiplicative group. The usual matrix multiplication is not even well defined.
 
  • #68
PeroK said:
The set of ##m \times n## matrices (where ##m \ne n##) do not form a multiplicative group. The usual matrix multiplication is not even well defined.
This refers to multiplicative groups.
 
  • #69
PeroK said:
The set of ##m \times n## matrices (where ##m \ne n##) do not form a multiplicative group. The usual matrix multiplication is not even well defined.
And in such cases there is no "identity" at all. So the OP question isn't even applicable.
 
  • #70
PeterDonis said:
And in such cases there is no "identity" at all. So the OP question isn't even applicable.
An ##n \times n## matrix is a linear transformation on the set of ##n \times m## matrices (under left multiplication). The question related to the identity transformation in this context.
 

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