How Can One Define a Unitary Transformation Using an Alternative Relation?

So it cannot be unitary according to the second definition.In summary, the conversation discusses two different ways to define a unitary transformation, one based on the relation (T\vec{u},T\vec{v})=(\vec{u},\vec{v}) and the other based on the relation (T\vec{u},\vec{v})=(\vec{u},T^{-1}\vec{v}). It is stated that proving the equivalence between these two definitions is not difficult, but it is necessary to require that T is surjective for the second definition to be valid. An example is given to illustrate that a transformation can be unitary according to the first definition but not the second if it is not
  • #1
LAHLH
409
1
Hi,

I just have a quick question, I understand that [tex] (T\vec{u},T\vec{v})=(\vec{u},\vec{v})[/tex] defines a unitary transformation [tex] T [/tex], but how does one go from this relation to [tex] (T\vec{u},\vec{v})=(\vec{u},T^{-1}\vec{v}) [/tex] as the other way to define a unitary transformation?

Thanks
 
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  • #2
You define the adjoint of T by [tex](T^\dagger\vec u,\vec v)=(\vec u,T\vec v)[/tex] (after proving that it always exists). Then you can define "unitary" by saying that T is unitary if [tex]T^{-1}=T^\dagger[/tex]. If T is unitary according to this alternative definition, we have

[tex](T\vec u,T\vec v)=(T^\dagger T\vec u,\vec v)=(T^{-1}T\vec u,\vec v)=(\vec u,\vec v)[/tex]

It's not much harder to prove that if T is unitary according to your definition, it's also unitary according to the alternative definition, but I'll let you do that one for yourself.
 
  • #3
LAHLH said:
How does one go from this relation to
Fredrik said:
It's not much harder to prove that if T is unitary according to your definition, it's also unitary according to the alternative definition, but I'll let you do that one for yourself.
It's impossible. You have to require that U is surjective. Of course, if U preserves the inner product (which is LAHLH's definition) then it is an isometry (actually, these are equivalent), hence injective. Surjectivity is needed to guarantee bijectiveness, else T^-1 does not make sense. In finite dimensions injective already implies surjective, but in general (infinite dimension) not.

Consider E.g. the unilateral shift T on [itex]\ell(\mathbb{N})[/itex]which sends (x1,x2,x3,...) to (0,x1,x2,x3,...). It is an isometry, so it preserves the inner product. So T would be unitary according to the first definition. But T is not invertible (not surjective): its image does not contain sequences whose first coordinate is non-zero.
 
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FAQ: How Can One Define a Unitary Transformation Using an Alternative Relation?

What are unitary transformations?

Unitary transformations are linear transformations that preserve the inner product of vectors. In other words, the length and angle between two vectors remain unchanged after a unitary transformation is applied.

What is the significance of unitary transformations?

Unitary transformations are important in quantum mechanics, as they are used to represent physical transformations of quantum states. They also have applications in signal processing, image processing, and data compression.

How are unitary transformations represented?

Unitary transformations are typically represented by unitary matrices, which are square matrices with complex entries that satisfy the condition U*U = UU* = I, where U* denotes the conjugate transpose of U and I is the identity matrix.

Can any matrix be a unitary matrix?

No, not all matrices can be unitary matrices. In order for a matrix to be unitary, it must be square and have complex entries that satisfy the unitarity condition mentioned above.

What is the relationship between unitary transformations and Hermitian matrices?

There is a close relationship between unitary transformations and Hermitian matrices. Unitary matrices can be thought of as the complex analog of orthogonal matrices, while Hermitian matrices are the complex analog of symmetric matrices. In fact, unitary transformations preserve the Hermitian structure of a matrix, meaning that if a matrix is Hermitian, its transformed matrix will also be Hermitian.

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