Prologue
It is time to start the obligatory research blog! When I put something on paper, it stays longer in my arsenal of usable concepts. And fastest way of remembering something is reading my previous notes about it. Hence, it is a good idea to write about the new concepts that I learned, and about the problems I'm working on. I hope this blog will last long and is not going to fall into oblivion, in the realm of blogs which had been started on a whim and slowly fades away in time with the increasing lack of enthusiasm and then eternally forgotten.
Ballentine's Quantum Book
Today's "look what I learned today" section is about the "bra"s in the Dirac notation. I started to read Ballentine's "Quantum Mechanics: A Modern Development". My research problem (about which I will talk later) involves joint probabilities in quantum mechanics. While searching about it on the web I came up to his book, read some pages on Google Books and liked it very much.
The book uses rigorous mathematics, and spends enough pages on fundamentals. (When I am left alone, I can't go further but I tend to go deeper, think about the details of the concepts that I already know.) Just in the first chapter, I learned where the bras come from, what the rigged Hilbert space is and some probability theory. Thanks Prof. Ballentine! As a graduate student, I do not want that anything is kept hidden from me for pedagogical reasons. I am brave enough to confront the rigged version of Hilbert spaces or to call Dirac delta a distributions, not a function. :-)
The Dual Space of Linear Functionals
I thought that I know the Dirac notation. Unfortunately, that was an illusion. Let me share my enlightenment with you.
Start with a linear vector space V, with an inner product (ψ,ϕ)=c defined on it. Elements of V are symbolized with kets: |ψ⟩. (|ψ⟩,|ϕ⟩)=c. A ket can be a column vector, or a function etc.
Now define a dual space of linear functionals on V. What is a functional? Operators are mathematical objects which maps "vectors" to "vectors". (double quotes to indicate abstractness of the vectors, the kets). They take a vector and give a vector in return: A:ψ→ϕ, which is shown as: Aψ=ϕ. Functionals are objects which maps vectors to numbers. They take a "vector" and give a number: F:ψ→c, maybe shown as: F{ϕ}=c. For example, the norm of a vector is a functional (although not linear).
What makes an operator linear is the property that the equation A(αψ+βϕ)=αAψ+βAϕ holds for every ψ and ϕ. Similarly, a functional is linear when F{αψ+βϕ}=αF{ψ}+βF{ϕ} (1)
If F1{ϕ}+F2{ϕ}=(F1+F2){ϕ}=F3{ϕ}, which means that addition of two functionals (two elements of the dual space) gives another element of the dual space, the dual space is closed under addition, and is itself a vector space, V′.
Riesz Theorem
Riesz Theorem says that there is a one to one correspondence (isomorphism) between elements of V and V′. The operation of an arbitrary linear functional (from V′) on the elements of V can be imitated by an inner product of elements from V. F{ϕ}=(f,ϕ), where f is fixed for an F, and ϕ is arbitrary.
Dirac assumed this isomorphism between f and F. Riesz proved it, hence assumption is not necessary. Say {ϕn} is an orthonormal basis. Any vector in V can be expanded on that basis. ψ=∑ncnϕn. According to (1), when a linear functional operates on ψ, F{ψ}=F{∑ncnϕn}=∑ncnF{ϕn}. Now, we have to find a vector f, of which inner product with the basis vectors, has the same effect as the functional on that basis vector.
f=∑mF{ϕm}∗ϕm does the job. (f,ψ)=(∑mF{ϕm}∗ϕm,∑ncnϕn) =∑mF{ϕm}∑ncn(ϕm,ϕn)=∑m∑nF{ϕm}cnδmn =∑ncnF{ϕn}=F{ψ}. There is a unique f in V for each F in V′. Hence one can use these symbols interchangeably.
In Dirac notation, the number that the functional F gives, if it takes the vector ϕ as its argument, F{ϕ}, is shown as ⟨F|ϕ⟩. For an f defined as in the previous paragraph, ⟨F|ϕ⟩=(f,ϕ). Thanks to the uniqueness of f due to one-to-one correspondence between f and F, we use the symbol F for both the linear functional in V′ and the isomorphic vector in V. (f,ϕ)≡(F,ϕ) And we get
⟨F|ϕ⟩=(F,ϕ)
Hence the braket can be thought as merely a new notation for inner product. But the real motivation behind it was that the bras are linear functionals on the ket space.
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