# Need help Inverse of an operator

• einai
In summary: Originally posted by Hurkyl I'm not sure if you're off the right track, or if you're on the right track but are missing a detail or two... so I'll give an example of a wrong proof and a right proof. :smile:Wrong proof:A-1 is given by that formula, and if we plug in a zero for one of the eigenvalues, the sum diverges, so A-1 doesn't exist.

#### einai

Another quantum question...I feel dumb .

A Hermitian operator A has the spectral decomposition

A = &Sigma; an|n><n| (summation in n)

where A|n> = an|n> (the an's are eigenvalues of A, and |n>'s the eigenstates).

So, how can I find the spectral decomposition of the inverse of A so that
AA-1 = A-1A = 1?

My intuition would be A = &Sigma; (1/an)|n><n| (summation in n), since 1 = &Sigma; |k><k| (summation in k), but I don't think it's that easy.

Try multiplying the given sum for A and your sum for A-1 and see if you get 1 as the answer.

Originally posted by Hurkyl
Try multiplying the given sum for A and your sum for A-1 and see if you get 1 as the answer.

Thanks. I have a question about multiplying the 2 sums though. Should I make n --> n' for one of them, then sum over n and n'? Like this:

A = &Sigma; an|n><n| (summation in n)
A-1 = &Sigma; (1/an')|n'><n'| (summation in n')

then AA-1 = &Sigma;&Sigma; an(1/an') |n><n|n'><n'| (summation in n and n') ?

And what is the condition imposed on A so that the inverse exists? I have no idea...

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Right, that's how you do the summation. (it will simplify to 1)

As for the condition imposed on A, your formula for A-1 contains a strong hint as to what that condition might me...

Originally posted by Hurkyl
Right, that's how you do the summation. (it will simplify to 1)

As for the condition imposed on A, your formula for A-1 contains a strong hint as to what that condition might me...

Thank you!

Hmm...is it that A and A-1 must have the same eigenstates, so that <n|n'> gives a delta function? And eigenvalues of A must be none zero otherwise the term in the inverse diverges?

It is true that A and A-1 have the same eigenstates. For example, if |1> is an eigenstate of A with nonzero eigenvalue &lambda;, then:

|1> = A-1A|1> = A-1&lambda;|1>
and thus A-1|1> = &lambda;-1|1>

So any eigenstate of A is an eigenstate of A-1 (and vice-versa, by symmetry).

More importantly, we can always choose an orthonormal eigenbasis, in which <n|n'> would indeed be a delta function. (I would presume the basis used by spectral decomposition would be orthonormal, but don't quote me on that!)

And yes, the right condition here is that all of the eigenvalues of A be nonzero. However, there is still work to do! At the moment, your formula only proves that if all of the eigenvalues of A are nonzero then there exists an inverse! You still need to prove that if A has a zero eigenvalue then it cannot have an inverse.

Originally posted by Hurkyl
It is true that A and A-1 have the same eigenstates. For example, if |1> is an eigenstate of A with nonzero eigenvalue &lambda;, then:

|1> = A-1A|1> = A-1&lambda;|1>
and thus A-1|1> = &lambda;-1|1>

So any eigenstate of A is an eigenstate of A-1 (and vice-versa, by symmetry).

That's a very good explanation, thank you.

More importantly, we can always choose an orthonormal eigenbasis, in which <n|n'> would indeed be a delta function. (I would presume the basis used by spectral decomposition would be orthonormal, but don't quote me on that!)

Yes, they're orthonormal basis since it's the summation over the eigenstates.

And yes, the right condition here is that all of the eigenvalues of A be nonzero. However, there is still work to do! At the moment, your formula only proves that if all of the eigenvalues of A are nonzero then there exists an inverse! You still need to prove that if A has a zero eigenvalue then it cannot have an inverse.

Yikes, I'm not too sure if I understand this part... I mean, if A has a zero eigenvalue, then its inverse would have an eigenstate with eigenvalue 1/0 which diverges...couldn't that prove A cannot have an inverse?

I mean, if A has a zero eigenvalue, then its inverse would have an eigenstate with eigenvalue 1/0 which diverges...couldn't that prove A cannot have an inverse?

I'm not sure if you're off the right track, or if you're on the right track but are missing a detail or two... so I'll give an example of a wrong proof and a right proof.

Wrong proof:

A-1 is given by that formula, and if we plug in a zero for one of the eigenvalues, the sum diverges, so A-1 doesn't exist.

This is wrong because you haven't proved that A-1 must have the form given by your formula; you can only prove that the formula works when the eigenvalues are nonzero.

It might be the case that there's another formula that will give you the inverse when one of the eigenvalues is zero. (It turns out that this is not the case, but from just the information I mentioned above, we can't determine this fact!)

Right proof:

Suppose |1> is an eigenstate of A with eigenvalue 0. Then:

|1> = A-1A|1> = A-10|1> = A-1 0 = 0

But since |1> is not the zero vector, we have a contradiction in assuming A-1 exists.

This is kinda like what you were saying, because we have:

|1> = 0 A-1 |1>

Implying A-1 has an "infinite" eigenvalue which is impossible... I just wasn't sure if you were aiming at this ponit or not.

Originally posted by Hurkyl

Right proof:

Suppose |1> is an eigenstate of A with eigenvalue 0. Then:

|1> = A-1A|1> = A-10|1> = A-1 0 = 0

But since |1> is not the zero vector, we have a contradiction in assuming A-1 exists.

This is kinda like what you were saying, because we have:

|1> = 0 A-1 |1>

Implying A-1 has an "infinite" eigenvalue which is impossible... I just wasn't sure if you were aiming at this ponit or not.

Oh, I see! Now I understand... I've always been bad at proving things . Thank you again for your help!

## What is an inverse of an operator?

The inverse of an operator is a mathematical concept that refers to the operation that undoes the original operation. It is denoted by the symbol ^-1.

## Why is finding the inverse of an operator important?

Finding the inverse of an operator is important in solving equations, simplifying expressions, and understanding the relationship between different operations. It allows us to reverse the effects of an operation and find the original value.

## How do you find the inverse of an operator?

The process of finding the inverse of an operator depends on the type of operator. For basic arithmetic operations, such as addition, subtraction, multiplication, and division, the inverse can be found by simply performing the opposite operation. For more complex operations, such as logarithms and trigonometric functions, there are specific methods and formulas to find the inverse.

## What is the difference between the inverse of an operator and the reciprocal?

The inverse of an operator is the operation that undoes the original operation, while the reciprocal is the multiplicative inverse of a number or expression. In other words, the reciprocal of a number is the value that, when multiplied by the original number, gives a result of 1.

## Can every operator have an inverse?

No, not every operator has an inverse. For an operator to have an inverse, it must be both one-to-one (each input has only one output) and onto (all outputs have a corresponding input). Additionally, some operations, such as division by zero, do not have an inverse.