Show that a unitary operator maps one ON-basis to another

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SUMMARY

The discussion focuses on demonstrating that a unitary operator U maps an orthonormal basis set \left\{\epsilon_i\right\}_{i=1,2,\dots} in an inner product space V to another orthonormal basis in V. It establishes that since U preserves the inner product, the transformed set \left\{U\epsilon_i\right\} remains orthonormal. The challenge arises in generalizing this property to infinite-dimensional spaces, particularly in proving the maximality of the transformed set as a basis.

PREREQUISITES
  • Understanding of unitary operators and their properties, specifically U^{\dagger}=U^{-1}
  • Knowledge of inner product spaces and orthonormal sets
  • Familiarity with the concept of basis in vector spaces, including finite and infinite dimensions
  • Basic linear algebra concepts, particularly linear independence and maximal sets
NEXT STEPS
  • Study the properties of unitary operators in detail, focusing on their role in preserving inner products
  • Explore the concept of maximal orthonormal sets in infinite-dimensional spaces
  • Research the implications of linear independence in the context of infinite-dimensional vector spaces
  • Learn about the structure of preHilbert spaces and their bases
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Mathematicians, physicists, and students studying functional analysis or quantum mechanics, particularly those interested in the properties of unitary operators and their applications in infinite-dimensional spaces.

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Homework Statement


Given an inner product space [itex]V[/itex], a unitary operator [itex]U[/itex] and a set [itex]\left\{\epsilon_i\right\}_{i=1,2,\dots}[/itex] which is an orthonormal basis of [itex]V[/itex], show that the image of [itex]\left\{\epsilon_i\right\}[/itex] under [itex]U[/itex] is also an orthonormal basis of [itex]V[/itex]

Homework Equations



The Attempt at a Solution


From the definition of a unitary operator we have [itex]U^{\dagger}=U^{-1}[/itex]. From this we can pretty easily demonstrate that the inner product is preserved under [itex]U[/itex], i.e.
[itex]\left\langle a|b\right\rangle=\left\langle a^{\prime}|b^{\prime}\right\rangle\quad\mbox{where }\left|a^{\prime}\right\rangle=U\,\left|a\right\rangle\quad\mbox{and }\left|b^{\prime}\right\rangle=U\,\left|b\right\rangle[/itex]​

"[itex]\left\{\epsilon_i\right\}_{i=1,2,\dots}[/itex] is orthonormal" can be stated as
[itex]\left\langle \epsilon_i|\epsilon_j\right\rangle=\delta_{i,j}[/itex]​
Since [itex]U[/itex] preserves the inner product, if this statement is true for [itex]\left\{\epsilon_i\right\}[/itex] then it must be true for the image under [itex]U[/itex] as well. In other words, if {\epsilon_i\right\} is an orthonormal set, then the image of {\epsilon_i\right\} under [itex]U[/itex] is an orthornomal set as well.

So we have "ortho" and "normal", but where I've hit a mental block is at the "basis" part. For an [itex]N[/itex]-dimensional space, it is clear that any set contained in the space which is orthonormal and has the same number of elements as an ON-basis of the space must also be an ON-basis of the space. What I'm stuck on is how to generalize this to an infinite-dimensional space.
...or am I going about this the wrong way?
 
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If the transformed vectors also form an orthonormal set, then they are automatically linearly independent hence form a basis in the preHilbert space, if they are maximal. Can you show maximality ?
 

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