2D subspace of a Hilbert space

So, the upper bound of pi/2 is sufficient for the inner product to be between 1 and -1.In summary, for any distinct ## \ket{\phi_{0}}## and ##\ket{\phi_{1}}##, a basis can be chosen such that ## \ket{\phi_{0}}= \cos\frac{\theta}{2}\ket{0} + \sin\frac{\theta}{2}\ket{1}, \hspace{0.5cm} \ket{\phi_{1}}= \cos\frac{\theta}{2}\ket{0} - \sin\frac{\theta}{2}\ket{1}##, where $$\theta$$ is between 0 and
  • #1
GwtBc
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Homework Statement


Have to read a paper and somewhere along the line it claims that for any distinct ## \ket{\phi_{0}}## and ##\ket{\phi_{1}}## we can choose a basis s.t. ## \ket{\phi_{0}}= \cos\frac{\theta}{2}\ket{0} + \sin\frac{\theta}{2}\ket{1}, \hspace{0.5cm} \ket{\phi_{1}}= \cos\frac{\theta}{2}\ket{0} - \sin\frac{\theta}{2}\ket{1}##

where $$\theta$$ is between 0 and pi/2. Why pi/2? doesn't the upper bound have to be pi so that the inner product of the two can be anywhere between 1 and -1 (rather than between 1 and 0)

Homework Equations

The Attempt at a Solution

 
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  • #2
The values of the angle > pi/2 is just a reordering and rephasing of the values < pi/2.
 

1. What is a 2D subspace of a Hilbert space?

A 2D subspace of a Hilbert space is a two-dimensional vector space that is contained within a larger Hilbert space. It is spanned by two linearly independent vectors and is closed under vector addition and scalar multiplication. It is a subset of the larger Hilbert space and shares many of its properties, such as being complete and having an inner product.

2. How is a 2D subspace of a Hilbert space different from a 2D Euclidean space?

While both a 2D subspace of a Hilbert space and a 2D Euclidean space are two-dimensional vector spaces, they differ in their definitions and properties. A 2D Euclidean space is defined by its coordinates and geometric properties, while a 2D subspace of a Hilbert space is defined by its basis vectors and inherits properties from the larger Hilbert space, such as completeness and an inner product.

3. What is the significance of a 2D subspace in a Hilbert space?

A 2D subspace in a Hilbert space is significant because it allows for the representation and manipulation of data in a two-dimensional space within a larger, potentially infinite-dimensional space. This can be useful in various areas of mathematics, physics, and engineering, such as in solving optimization problems or analyzing quantum systems.

4. How is a 2D subspace of a Hilbert space related to linear independence?

A 2D subspace of a Hilbert space is spanned by two linearly independent vectors, meaning that neither vector can be expressed as a linear combination of the other. This property is important as it ensures that the subspace is not redundant and can be used to uniquely represent vectors within the subspace.

5. Can a 2D subspace of a Hilbert space be non-Euclidean?

Yes, a 2D subspace of a Hilbert space can be non-Euclidean. While a Euclidean space has the property of parallel lines never intersecting, this is not necessarily true in a Hilbert space. The inner product and norm of vectors in the subspace may also differ from those in a Euclidean space, making it non-Euclidean.

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