Quantum superposition and Vector Space

In summary: That's all.In summary, the concept of a complex vector space in quantum mechanics arises from the linearity of the Schrodinger's equation and the need for a continuous transformation between pure states, which requires complex numbers. This allows for the superposition principle and explains many aspects of quantum mechanics.
  • #1
spaghetti3451
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This is an extract from my third year 'Foundations of QM' lecture notes:

If ψ1 and ψ2 are admissible states,
then the superposed state [itex]\alpha[/itex]ψ1 + ψ2[itex]\beta[/itex] ( [itex]\alpha[/itex],[itex]\beta[/itex] [itex]\in[/itex] C ) is also an admissible state.

[itex]\rightarrow[/itex] complex vector space.



I understand that a linear superposition of allowed state is also an allowed state. It follows from the linearity of the Schrodinger's equation.

What I fail to understand is how this leads to the concept of a complex vector space in QM.
Any help would be greatly appreciated.
 
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  • #2
Linear superposition directly leads to the concept of vector spaces; b/c the coefficients alpha and beta can be complex you get a complex vector space
 
  • #3
Good question. Here is why you need complex numbers. Let's first consider a possibly loaded dice. How it behaves is given by what is called a probability (or state) vector which is 6 positive numbers that add up to one and gives the probability of the number that comes up when tossed. The vectors with a 1 in it means it will give the number at the position with dead certainty and also gives the possible outcomes of throwing the dice. Such states are called pure states.

Now an interesting question is this - can you via pure states continuously go from one pure state to another? Well obviously you can't since there is only a finite number of them. But what if you insist. Then by examining the matrix that transforms between pure states and finding its eigenvalues you can actually find such a transformation - but it requires complex numbers.

So basically you have two possibilities - no continuous transformations between pure states or you allow them. The first is standard probability theory. The second requires complex numbers and is what Quantum Mechanics use. When you think about it it's a better alternative than standard probability theory for physics because the pure states are the possible outcomes and you expect to be able to continuously go from one to the other and not jump between them. But how do you define probabilities on complex numbers? That's where a nifty theorem comes in called Gleasons theorem which basically says there is only one way to do it - the standard way its dome in Quantum Mechanics:
http://kof.physto.se/theses/helena-master.pdf

So basically that's why you need complex numbers - so you can continuously go between the possible outcomes. It explains the superposition principle and a lot more. Combine it with Gleasons Theroem and you have Quantum Mechanics - pretty neat hey.

For some more detail on this check out:
http://www.scottaaronson.com/democritus/lec9.html
http://arxiv.org/pdf/quant-ph/0111068v1.pdf

Thanks
Bill
 
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  • #4
failexam said:
This is an extract from my third year 'Foundations of QM' lecture notes:

If ψ1 and ψ2 are admissible states,
then the superposed state [itex]\alpha[/itex]ψ1 + ψ2[itex]\beta[/itex] ( [itex]\alpha[/itex],[itex]\beta[/itex] [itex]\in[/itex] C ) is also an admissible state.

[itex]\rightarrow[/itex] complex vector space.



I understand that a linear superposition of allowed state is also an allowed state. It follows from the linearity of the Schrodinger's equation.

What I fail to understand is how this leads to the concept of a complex vector space in QM.
Any help would be greatly appreciated.
The question of why we need a complex vector space is a difficult one, but if we take the things you say that you already understand as the starting point, it's completely trivial. The set of complex valued functions on ##\mathbb R^3## with addition and multiplication by a complex number defined the usual way (i.e. (af)(x)=a(f(x)) and (f+g)(x)=f(x)+g(x)), is a complex vector space. The assumption that you say that you understand says that we're considering a non-empty subset of that vector space that's closed under complex linear combinations. That makes it a subspace of that larger vector space.
 

1. What is quantum superposition?

Quantum superposition is a fundamental principle in quantum mechanics which states that a quantum system can exist in multiple states or positions simultaneously until it is measured or observed.

2. How does quantum superposition relate to vector spaces?

Quantum superposition is often described using vector spaces, which are mathematical structures used to represent physical quantities. The different states of a quantum system can be represented as vectors in a vector space, and the principle of superposition allows for the combination of these vectors to represent the possible states of the system.

3. What is a basis state in quantum superposition?

A basis state in quantum superposition is a set of states that can be used to represent all possible states of a quantum system. These states are often represented as orthogonal vectors in a vector space and can be combined through superposition to represent any other state of the system.

4. How is quantum superposition used in quantum computing?

Quantum superposition is a key concept in quantum computing, as it allows for qubits (quantum bits) to exist in a state of 0, 1, or a combination of both at the same time. This allows for the potential of exponentially faster computing compared to classical computers, as qubits can represent and process more information simultaneously.

5. What are some real-world applications of quantum superposition and vector spaces?

Some potential applications of quantum superposition and vector spaces include quantum communication, cryptography, and simulation of complex systems. Quantum computers could also potentially revolutionize fields such as drug discovery and financial modeling.

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