Second Hermitian scalar product

Your name] In summary, the problem at hand is trying to prove the existence of a positive transformation T with respect to two different Hermitian scalar products, (u,v) and (u,v)1. The claim is that T satisfies the conditions for both scalar products and has the property that (u,v)1 = (Tu,v) for all u,v in V. To prove this claim, one needs to show that T is self-adjoint and (Tv,v) is greater than or equal to zero for both scalar products.
  • #1
Ioiô
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Homework Statement



Let (u,v)1 be a second Hermitian scalar product on a vector space V.

Claim: There exists a positive transformation T with respect to the given scalar product (u,v) such that (u,v)1 = (Tu,v) for all u,v in V.


Homework Equations



A transformation T is positive if

1) T is self-adjoint
2) (Tv, v) greater than or equal to zero (and real, of course)

The Attempt at a Solution



I am confused at what we are trying to prove. Is T positive with respect to (u,v) or are we using the definition of (u,v)1 and showing it is positive?

Initially, my plan to prove the existence of T was to first choose a matrix with respect to some orthonormal basis and then show that T is positive with respect to the inner product (u,v)1. However, as mentioned, the claim is that T is positive with respect to (u,v). How does (u,v)1 fit into the problem? (What is meant by second "Hermitian product?")

Thanks
 
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  • #2
for any help!



Thank you for your post. I understand your confusion about the problem. Let me try to clarify things for you.

Firstly, a second Hermitian scalar product on a vector space V is a different Hermitian scalar product than the one that is given in the problem (u,v). This means that there are two scalar products defined on the same vector space V, (u,v) and (u,v)1.

The claim is that there exists a positive transformation T with respect to the given scalar product (u,v), which means that T satisfies the two conditions you mentioned: 1) T is self-adjoint and 2) (Tv,v) is greater than or equal to zero for all v in V.

However, this positive transformation T also has the property that (u,v)1 = (Tu,v) for all u,v in V. In other words, T is also positive with respect to the second Hermitian scalar product (u,v)1.

To prove this claim, you can use the definition of a positive transformation and show that T satisfies both conditions for both scalar products (u,v) and (u,v)1. This will prove the existence of such a transformation T.

I hope this helps. Let me know if you have any further questions.


 

1. What is a Second Hermitian Scalar Product?

The Second Hermitian Scalar Product is a mathematical concept used in linear algebra and functional analysis. It is a generalization of the standard inner product, which measures the angle between two vectors, to complex vector spaces. It is denoted as <x, y>_2 and is defined as <x, y>_2 = <y, x>_1, where <x, y>_1 is the standard inner product.

2. How is the Second Hermitian Scalar Product different from the standard inner product?

The Second Hermitian Scalar Product is different from the standard inner product in that it is defined for complex vector spaces, while the standard inner product is defined for real vector spaces. Additionally, the Second Hermitian Scalar Product is conjugate-symmetric, meaning that <x, y>_2 = <y, x>_2*, where the * indicates the complex conjugate.

3. What is the significance of the Second Hermitian Scalar Product?

The Second Hermitian Scalar Product is important in quantum mechanics, as it is used to calculate the expectation value of observables in a quantum state. It is also useful in functional analysis, where it helps define the concept of a Hilbert space.

4. How is the Second Hermitian Scalar Product calculated?

The calculation of the Second Hermitian Scalar Product involves taking the complex conjugate of the first vector, multiplying it by the second vector, and then taking the standard inner product. In other words, <x, y>_2 = <x*, y>_1.

5. Can the Second Hermitian Scalar Product be used for non-Hermitian matrices?

No, the Second Hermitian Scalar Product is only defined for Hermitian matrices, which are square matrices that are equal to their own complex conjugate transpose. For non-Hermitian matrices, a different type of scalar product, such as the Frobenius inner product, should be used.

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