Proving that for nilpotent A, A+I is invertible

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Discussion Overview

The discussion revolves around proving that for a nilpotent matrix A, the matrix A+I is invertible. Participants explore various approaches, including algebraic manipulations and series expansions, while addressing uncertainties and challenges in their reasoning.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant proposes a contrapositive approach to show that if A+I is not invertible, then A cannot be nilpotent, but expresses uncertainty about a specific step in the reasoning.
  • Another participant questions the validity of assuming that a non-zero solution to one equation cannot be a solution to another related equation.
  • Several participants discuss the relevance of the geometric series expansion for the inverse of (1+x) and its applicability to matrices, particularly in the context of nilpotent matrices.
  • Concerns are raised about convergence when applying series expansions to matrices, with a participant noting that nilpotency alleviates some of these concerns.
  • A mathematical argument is presented that if (A+I)v=0 leads to a contradiction regarding eigenvalues, then A+I must be invertible.
  • Another participant mentions the exponential function of nilpotent matrices and its implications, noting that while some properties hold, they may not universally apply.

Areas of Agreement / Disagreement

Participants express various viewpoints and approaches, with no clear consensus reached on the proof or specific methods. Disagreements arise regarding the validity of certain assumptions and the applicability of series expansions.

Contextual Notes

Participants acknowledge limitations in their reasoning, particularly regarding assumptions about eigenvalues and the conditions under which series expansions converge for matrices.

Identity
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Suppose A is nilpotent, i.e. [tex]A^k=0[/tex], [tex]k>0[/tex]. Show that [tex]A+I[/tex] is invertible.

Here's my go at it... although I'm unsure about step marked with asterisks... is it ok? I'm not sure how to show that it's true for sure.

Contrapositive: Suppose [tex]A+I[/tex] isn't invertible. Then [tex](A+I)X =0[/tex] has a non-zero solution, say [tex]X = X_0[/tex].
Then

[tex](A+I)X_0=0[/tex]

[tex]AX_0+X_0=0[/tex]

[tex]A^kX_0 +A^{k-1}X_0=0[/tex]

If [tex]A^k=0[/tex] then [tex]A^{k-1}X_0=0[/tex]... but [tex]X_0[/tex] is not a solution of [tex]A^{k-1}X=0[/tex].************

Hence, [tex]A[/tex] must not nilpotent, QED

Thanks
 
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Identity said:
but [tex]X_0[/tex] is not a solution of [tex]A^{k-1}X=0[/tex].************

Why?
 
Ok... I was bluffing. But I don't know how else to proceed!

I just assumed that since [tex]X_0[/tex] was the solution of one equation it couldn't solve another different equation.
 
It helps to gather some intuition from the one dimensional case here.

What is the inverse of (1+x) when x is small (x is a real number)?
 
If you mean multiplicative inverse isn't it

[tex]\frac{1}{1+x} = 1-x+x^2-...[/tex]

Can this be used for matrices too...?

EDIT: Heh, I guess it can, thanks office_shredder
 
Last edited:
Of course you have to be worried about convergence, but in the nilpotent case that's not a big deal
 
I am a little slow, so could someone please humor me: just using 1/(1 + x) = 1 - x + x^2 - ...
and seeing x as A and 1 as I, isn't it apparent that this series converges since it is geometric and can be easily calculated? At what point does the nilpotency of A matter, and how can you use it in proof using the mentioned series?
 
For some integer power k, Ak = 0 (the zero matrix).

1/(1 + x) in the reals corresponds to (I + A)-1.
 
dmatador said:
and seeing x as A and 1 as I, isn't it apparent that this series converges since it is geometric and can be easily calculated? At what point does the nilpotency of A matter, and how can you use it in proof using the mentioned series?

If A is just a real number and A=2, the series doesn't converge. The mere fact it is geometric isn't enough; you need your matrix to somehow be "small enough". What exactly small enough is is a lot less obvious for matrices than for real numbers, but if a matrix is nilpotent it qualifies
 
  • #10
[tex](A+I)v=0[/tex]

[tex]Av=-v[/tex]

[tex]A^2v=v[/tex]

[tex]\dots[/tex]

[tex]A^kv=(-)^{k+1}v=0[/tex]

[tex]v=0[/tex]

[tex]v=0[/tex] is the only vector in [tex]\textrm{Ker}(A+I)[/tex]

[tex]A+I[/tex] is invertible.
 
  • #11
vigvig said:
[tex]Exp(X) = X+Id[/tex]

Its not true. If X^k=0

[tex]e^X=Id+A+A^2/2+\dots A^{k-1}/(k-1)![/tex]
 
  • #12
Petr Mugver said:
Its not true. If X^k=0

[tex]e^X=Id+A+A^2/2+\dots A^{k-1}/(k-1)![/tex]

First, X^k = 0 is equivalent to being nilpotent. Second, you may want to replace all your As by Xs, but you are right. Sometimes you do get Exp(X)=X+id but not always. I forgot you could have something like a Heisenberg matrix where exponentiation puts ones on the diagonal but does alter one entry.
 
  • #13
Suppose (I+A) is not invertible. Then there exists a vector v such that (I+A)v = 0.

Then v=-Av. Then -1 is an eigenvalue which is a contradiction since A is nilpotent i.e. all eigenvalues are zero.
 

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