AB=I vs. BA=I: Investigating Matrix Equality in Field F

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Discussion Overview

The discussion revolves around the question of whether there exists a field F such that the equality AB=I does not imply BA=I for square matrices A and B over that field. Participants explore the implications of matrix properties, particularly focusing on left and right inverses, and the conditions under which these properties hold.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Some participants argue that AB=I always implies BA=I due to the rank-nullity theorem, which holds over any field.
  • Others contend that AB=I does not always imply BA=I, citing the existence of left and right inverses and providing examples related to least squares projections.
  • A participant mentions that while discussing square matrices, AB=I does imply BA=I, but this is challenged by others who note that certain mathematical characteristics must be met.
  • There is a discussion about the implications of commutativity and associativity in matrix multiplication, with participants questioning how these properties affect the relationship between AB and BA.
  • One participant presents a proof involving determinants, asserting that if AB=I, then A is invertible, leading to the conclusion that left and right inverses are equal.
  • Another participant acknowledges a misunderstanding regarding the properties of rings in relation to the discussion.

Areas of Agreement / Disagreement

Participants express differing views on whether AB=I implies BA=I, with some asserting it does under certain conditions while others maintain that it does not universally hold. The discussion remains unresolved with multiple competing perspectives presented.

Contextual Notes

The discussion highlights the importance of the underlying field and matrix properties, such as invertibility and the implications of determinants, but does not resolve the conditions under which AB=I implies BA=I.

Who May Find This Useful

This discussion may be of interest to those studying linear algebra, particularly in understanding matrix properties, inverses, and the implications of different mathematical structures like fields and rings.

asmani
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Hi all.

Does there exist a field F such that AB=I doesn't imply BA=I, where A and B are square matrices (both n×n) over the field F?

Thanks in advance.
 
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hi asmani! :smile:

hint: BAB ? :wink:
 
AB=I always implies BA=I regardless of the field. This is because the rank-nullity theorem holds over any field, so an injective linear map (between vector spaces of the same dimension n) is necessarily surjective (and vice-verse).

In fact AB=I will imply BA=I even over a commutative ring. Probably the quickest way to see this is to use the characterization "An nxn matrix with entries in a commutative ring R is invertible (i.e. has a left and right inverse) iff detA is a unit in R". Note that AB=I implies that detA and detB are units.

P.S. Here I'm addressing the problem of showing that "left invertible" implies "right invertible". Once you have this, you can use tiny-tim's hint to show that the left inverse is equal to the right inverse.
 
Last edited:
AB=I does not always imply BA=I . There are somethings called left inverses and right inverses. You can look it up when you see the least square projections of a vector which does not lie on a column space S onto S.

Then if there is a left inverse C , then, though , CA = I but AC ≠ I .
A similar story goes for the right inverse.

Good Luck
 
vish_maths said:
AB=I does not always imply BA=I . There are somethings called left inverses and right inverses. You can look it up when you see the least square projections of a vector which does not lie on a column space S onto S.

Then if there is a left inverse C , then, though , CA = I but AC ≠ I .
A similar story goes for the right inverse.

Good Luck

We are talking about square matrices. In that case, AB=I does certainly imply BA=I.
 
micromass said:
We are talking about square matrices. In that case, AB=I does certainly imply BA=I.

oops :) yep . Sorry , i was talking in general terms :) thanks for quoting !
 
micromass said:
We are talking about square matrices. In that case, AB=I does certainly imply BA=I.
Not always. There are certain mathematical characteristics that are required to be able to say that. I would have agreed completely had you instead said "We are talking about square matrices over a field."
tiny-tim said:
hint: BAB ? :wink:
This is a very nice hint. What mathematical characteristics let tiny-tim get away with writing BAB without using any parentheses? What characteristics do you get "for free" just by saying the word "field"?
 
Thanks a lot for the replies.
morphism said:
Here I'm addressing the problem of showing that "left invertible" implies "right invertible". Once you have this, you can use tiny-tim's hint to show that the left inverse is equal to the right inverse.
Actually the original problem was to show that "left invertible" implies "right invertible" and vice versa.
tiny-tim said:
hint: BAB ? :wink:
D H said:
This is a very nice hint. What mathematical characteristics let tiny-tim get away with writing BAB without using any parentheses? What characteristics do you get "for free" just by saying the word "field"?
I can't see how to work out this yet. I know that we can write B=BI and since AB=I, we get to B=B(AB) which is the same as B=(BA)B (commutativity of multiplication) and then we have B(I-BA)=0. Does it help?
 
asmani said:
Thanks a lot for the replies.

Actually the original problem was to show that "left invertible" implies "right invertible" and vice versa.


I can't see how to work out this yet. I know that we can write B=BI and since AB=I, we get to B=B(AB) which is the same as B=(BA)B (commutativity of multiplication) and then we have B(I-BA)=0. Does it help?

Careful! If you had commutativity _matrix-wise_ (you do have it entry/element-wise),
AB=I would automatically imply BA=I.
 
  • #10
this is not a trivial result. it is equivalent to showing that any set of n independent vectors in k^n must span it.
 
  • #11
Bacle2 said:
Careful! If you had commutativity _matrix-wise_ (you do have it entry/element-wise),
AB=I would automatically imply BA=I.
Sorry, I meant associativity, which leads to B(AB)=(BA)B.
Thanks.
 
  • #12
Here is the proof I found:

AB=I implies det(A)det(B)=1, which means that det(A)≠0. It's a known fact that A is invertible iff det(A)≠0. Thus A is invertible and has both right and left inverses and they are equal.

Is there something wrong?
 
  • #13
asmani said:
Here is the proof I found:

AB=I implies det(A)det(B)=1, which means that det(A)≠0. It's a known fact that A is invertible iff det(A)≠0. Thus A is invertible and has both right and left inverses and they are equal.

Is there something wrong?
No, there is nothing wrong with this. In fact I already gave you this exact same proof in my post above.
 
  • #14
You're right. I didn't notice that, because I wasn't familiar with rings.
Thanks.
 

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