Eigenvector proof from Dirac's QM

In summary: It's not really a problem with the proof, I'm just not sure why it matters.In summary, Dirac's proof demonstrates that any eigenket can be expressed as a sum of eigenkets of a real linear function. However, the constant term disappears if ξ is an operator.
  • #1
Oxfordstudent
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Hi everyone,

I'm currently working my way through Dirac's Quantum Mechanics, and I found this proof really irritating.

We're trying to demonstrate that any eigenket can be expressed as a sum of eigenkets of a real linear function [itex]\xi[/itex] which satisfies the equation [itex]\varphi[/itex]([itex]\xi[/itex]) = a[itex]_{1}[/itex][itex]\xi[/itex][itex]^{n}[/itex]+a[itex]_{2}[/itex][itex]\xi[/itex][itex]^{n-1}[/itex]...+a[itex]_{n}[/itex]

I attach Dirac's proof. I'm confused by how 22 vanishing for [itex]\chi (\xi)[/itex] in general follows from the substitution.

Thanks.
 

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  • #2
It would help me if you can attach previous two pages too. I don't have access to this book right now.
 
  • #3
Oxfordstudent said:
Hi everyone,

I'm currently working my way through Dirac's Quantum Mechanics, and I found this proof really irritating.

We're trying to demonstrate that any eigenket can be expressed as a sum of eigenkets of a real linear function [itex]\xi[/itex] which satisfies the equation [itex]\varphi[/itex]([itex]\xi[/itex]) = a[itex]_{1}[/itex][itex]\xi[/itex][itex]^{n}[/itex]+a[itex]_{2}[/itex][itex]\xi[/itex][itex]^{n-1}[/itex]...+a[itex]_{n}[/itex]

I attach Dirac's proof. I'm confused by how 22 vanishing for [itex]\chi (\xi)[/itex] in general follows from the substitution.

Thanks.
Before I answer your question, let me point out that your version of eqn (17) has a small problem. If [itex]a_1[/itex] is the coefficient on [itex]\xi^n[/itex], then the constant term should be [itex]a_{n+1}[/itex]. Also, in eqn (17), [itex]\phi[/itex] is set to zero. Here is the eqn as it appears in the book.
[tex]\phi(\xi) = \xi^n+a_1\xi^{n-1}+a_2\xi^{n-2}+\cdots+a_{n} = 0[/tex]

However, this has nothing to do with the problem you are facing. As for your problem, in the text below expression (21), there is an explanation of why that expression is equal to zero. Equation (22) is then the result of setting (21) to zero and applying (21) to the ket [itex]|P>[/itex].
 
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  • #4
Sorry about copying that equation incorrectly - I think my brain must have given up on the formatting.

The thing I don't understand is why 21 is zero for all ξ given that it is zero for the substitution Cs (s = 1, 2, 3...n). Dirac justifies it by saying that the expression is of degree n-1 in ξ. This is obviously the case but I don't understand why it means you can go from the substitution of complex numbers to a generalized real linear operator. I'm sure there's something really simple here I haven't grasped.
 
  • #5
Because if an n-1 degree polynomial has n distinct zeros, then the polynomial itself is zero. For instance, a quadratic has no more than 2 zeros, and a cubic has no more than 3. etc.
 
  • #6
Yes, that would be the case. I think I was just confused by ξ being an operator.
 

FAQ: Eigenvector proof from Dirac's QM

What is an eigenvector in Dirac's QM?

An eigenvector in Dirac's QM is a vector that represents a specific state or observable of a quantum system. It is a special type of vector that remains unchanged under a given transformation, and its corresponding eigenvalue represents the result of a measurement of that state or observable.

How are eigenvectors used in Dirac's QM?

Eigenvectors are used to represent the different states and observables of a quantum system in Dirac's QM. They are a fundamental concept in the mathematical framework of quantum mechanics and are used to describe the behavior and properties of particles at the quantum level.

What is the significance of eigenvectors in Dirac's QM?

The significance of eigenvectors in Dirac's QM lies in their ability to accurately describe the states and observables of a quantum system. They provide a mathematical representation of the probabilistic nature of quantum mechanics, where the eigenvalues correspond to the probabilities of obtaining a certain measurement result.

How are eigenvectors related to the uncertainty principle in Dirac's QM?

Eigenvectors are related to the uncertainty principle in Dirac's QM through the concept of compatible observables. Compatible observables have a set of eigenvectors that are shared between them and can be measured simultaneously. The uncertainty principle states that certain pairs of observables cannot have a complete set of shared eigenvectors, leading to uncertainties in their measurements.

Can you provide an example of an eigenvector proof in Dirac's QM?

One example of an eigenvector proof in Dirac's QM is the proof of the time-independent Schrödinger equation. This equation describes how a quantum system evolves over time and is based on the concept of eigenvectors and eigenvalues. The proof involves using the eigenvectors of the Hamiltonian operator to show that the time-dependent wave function can be expressed as a linear combination of the eigenvectors with their corresponding eigenvalues as coefficients.

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