What Are Hermitian Operators and Their Significance in Quantum Mechanics?

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Discussion Overview

The discussion revolves around the concepts of Hermitian operators, inner product spaces, and Hilbert spaces within the context of quantum mechanics. Participants are exploring definitions, properties, and implications of these mathematical structures as they relate to quantum theory.

Discussion Character

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

Main Points Raised

  • Some participants inquire about the definition of an inner product space and its relation to vector spaces, suggesting it involves defined dot products of vectors.
  • There is a discussion on Hilbert spaces, with some participants noting it as a complex inner product space with a countable basis, while others seek clarification on what "countable basis" means.
  • Participants express confusion regarding the properties of Hermitian operators, particularly how they relate to eigenvalues being real and the implications of the operator being equal to its conjugate.
  • One participant provides a proof regarding Hermitian operators and their eigenvalues, but others request clarification on the notation used, particularly the Bra-Ket notation and its components.
  • There are requests for further explanation of the notation and concepts, with some participants feeling that the explanations provided are too basic or not sufficiently detailed.
  • One participant mentions the Riesz Representation Theorem in relation to the correspondence between bras and kets, and how this relates to Hermitian operators.

Areas of Agreement / Disagreement

Participants generally agree on the definitions of inner product spaces and Hilbert spaces, but there is significant disagreement and confusion regarding the implications and properties of Hermitian operators. The discussion remains unresolved with multiple competing views and requests for clarification.

Contextual Notes

Some participants express uncertainty about the notation used in quantum mechanics, particularly Bra-Ket notation, and seek further clarification on mathematical concepts that underpin the discussion. There is also mention of the need for a refresher on linear algebra to better understand the topics discussed.

Who May Find This Useful

This discussion may be useful for students and enthusiasts of quantum mechanics, particularly those looking to deepen their understanding of the mathematical foundations related to Hermitian operators and inner product spaces.

Nikitin
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OK I'm not sure if this should go in the math or quantum forum, but as I'm learning these in introductory QM I post the questions here. Please move the thread if the section is inappropriate.

Anyway, some questions:

* What is an inner product space?

* What is a hilbert space?

* What are hermitian operators and what do they do? From what I can see, hermitian operators are supposed to kill the complex output when used on an eigenfunction. However, how does "being hermitian" do that?

* In my lecture notes it is written an operator ##\hat{F}## is hermitian if ##\int (\hat{F} \Psi_1)^*\Psi_2 d\tau=\int (\Psi_1)^*\hat{F}\Psi_2 d\tau##, where the * represents complex conjugation. Uhm, why does that make something hermitian?
 
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Nikitin said:
* What is an inner product space?

It's a vector space with a defined inner product. If that's goobly gook then you need to study some linear algebra.

Nikitin said:
* What is a hilbert space?

In the context of QM its a complex inner product space with a countable basis. There is a bit more that can be said, but as far as QM is concerned that's about it. Again if it's gobbly gook you need to study some linear algebra.

Nikitin said:
* What are hermitian operators and what do they do? From what I can see, hermitian operators are supposed to kill the complex output when used on an eigenfunction. However, how does "being hermitian" do that?

Hermitian operators are operators that equal their conjugate. Its a very simple theorem to show their eigenvalues must be real. It's so easy to prove once you know a bit of linear algebra the answer again is really the same - you need to study a bit of linear algebra.

Just to show how easy the proof is here it is, if u is an eigenvector of A, A hermitian <u|A|u> = y <u|u> = conjugate <u|A|a> = conjugate (y) <u|u> ie y is real.

Thanks
Bill
 
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bhobba said:
It's a vector space with a defined inner product. If that's goobly gook then you need to study some linear algebra.
OK, so all possible dot products of the vectors in the vector-space make up the inner product space?
In the context of QM its a complex inner product space with a countable basis. There is a bit more that can be said, but as far as QM is concerned that's about it. Again if it's gobbly gook you need to study some linear algebra.
With "complex", you mean the vectors can have complex components, right? But what does "countable basis" mean?

Just to show how easy the proof is here it is, if u is an eigenvector of A, A hermitian <u|A|u> = y <u|u> = conjugate <u|A|a> = conjugate (y) <u|u> ie y is real.
I don't think I'm familiar with the notation (especially the "|"s and "<u|A|u>"). Could you explain it step by step? And yes, at this stage it's obvious
you need to study a bit of linear algebra.
, but I would appreciate it if you could at least give me some pointers on what to study. It's been a year since my course in linear algebra so I just need some derusting to get the mojo back.
 
Nikitin said:
I don't think I'm familiar with the notation (especially the "|"s and "<u|A|u>"). Could you explain it step by step? And yes, at this stage it's obvious , but I would appreciate it if you could at least give me some pointers on what to study. It's been a year since my course in linear algebra so I just need some derusting to get the mojo back.

Mate, this is like asking someone to explain calculus.

There is really no choice but the slog of studying it.

There are many free linear algebra books eg:
http://linear.ups.edu/html/fcla.html

Spend a bit of time going through it - its well worth it.

What I gave is the so called Bra-Ket notation.

Once you are familiar with Linear Algebra then myself or someone else can explain it, or give a link eg:
http://www.mathpages.com/home/kmath638/kmath638.htm

A basis means every vector can be formed as a linear combination of those vectors, and this is the minimum number that such can be applied to. That number is called the dimension of the space. There is a nifty theorem that says any vector space has a basis:
http://www.proofwiki.org/wiki/Vector_Space_has_Basis

Countable means, while it may be infinite, it is in one to one correspondence with the natural numbers.

All this is basic math stuff and explaining it so you understand the terms really is what studying linear algebra is about.

Thanks
Bill
 
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I am familiar with linear algebra because, as I said, I took a course in proof-based linear algebra a year ago. Thing is I haven't used it since june 2013, so I am a bit rusty on the definitions, and some of the notation is foreign (like bra-kets: which seems to be specific to quantum mechanics only). However I can easily remember (and understand) the suff when it's properly explained. So no, it's not at all like explaining all of calculus.

Back to your proof:

Hermitian operators are operators that equal their conjugate. Its a very simple theorem to show their eigenvalues must be real. It's so easy to prove once you know a bit of linear algebra the answer again is really the same - you need to study a bit of linear algebra.

Just to show how easy the proof is here it is, if u is an eigenvector of A, A hermitian <u|A|u> = y <u|u> = conjugate <u|A|a> = conjugate (y) <u|u> ie y is real.
Could you explain your notation, or better yet use latex? "A hermitian"? You mean A is hermitian? At any rate, I am with you until you say "y<u|u> = conjugate <u|A|a>". Why is that the case? where did the small "a" come from and what does it mean?

PS: Thanks for the link explaining bra-ket notation.

If these questions are too basic, perhaps this thread should be moved to a homework forum?
 
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Vectors are written as |a> called kets. Given a vector space you have the set of linear functions mapping to complex numbers defined on those vectors (called functionals). This mapping, basically, means its a complex vector space. Formally they also form a vector space called its dual. They are called bras and are written as <b|. Since bras are linear functions defined on kets you have <b|a>, which is the linear function <b| acting on |a>, called a Bra-Ket (British for bracket :biggrin:).

Now there is this nifty theorem, called the Riesz Representation Theorem, that shows the bras and kets can be put into one to one correspondence such that <a|b> = complex conjugate <b|a>, and this correspondence is generally assumed:
http://en.wikipedia.org/wiki/Riesz_representation_theorem

If A is a linear operator mapping kets to kets A|a> is also a ket. But since A|a> is a ket it can be acted on by a bra to give <b|A|a>. But this can be viewed as a linear functional defined on |a>. Hence <b|A is a bra and defines how linear operators act on bras. Thus by definition (<u|A)|v> = <u|(A|v>). The ket corresponding to the bra <a|A defines a linear operator on |a> called its Hermitian Conjugate A* so this ket is A*|a>. So we have <a|A|b> = conjugate <b|A*|a>. Operators such that A=A* are called Hermitian and by definition observables in QM are Hermitian.

Hopefully that helps.

Thanks
Bill
 
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