Hyperhermitian inner product -- explicit examples requested

In summary, a hyperhermitian inner product is a type of inner product used to measure the angle between two vectors in vector spaces. It differs from a regular inner product in that it always results in a positive real number when computing the inner product of a vector with itself. Examples of hyperhermitian inner product include the standard dot product in Euclidean space and the inner product of complex-valued continuous functions. Explicit examples are often requested to better understand the concept and its applications, and it is used in various areas of scientific research such as quantum mechanics, signal processing, and functional analysis.
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Can anyone show me explicit examples of Hyperhermitian inner product?
 
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Sure, here are a few explicit examples of hyperhermitian inner products:

1. In the space of complex-valued continuous functions on a closed interval [a,b], we can define the inner product between two functions f and g as:

⟨f,g⟩ = ∫a^b f(x)g*(x) dx

where g*(x) is the complex conjugate of g(x). This inner product is hyperhermitian, meaning that ⟨f,g⟩ = ⟨g,f⟩*.

2. In the space of n-by-n complex matrices, we can define the inner product between two matrices A and B as:

⟨A,B⟩ = Tr(A†B)

where A† is the conjugate transpose of A. This inner product is hyperhermitian, as Tr(A†B) = Tr(B†A)†.

3. In the space of n-dimensional complex vectors, we can define the inner product between two vectors x and y as:

⟨x,y⟩ = x†y

where x† is the conjugate transpose of x. This inner product is also hyperhermitian, as x†y = (y†x)†.

These are just a few examples, but there are many other hyperhermitian inner products that can be defined in different spaces. Hope this helps!
 

1. What is a hyperhermitian inner product?

A hyperhermitian inner product is a type of inner product used in vector spaces to measure the angle between two vectors. It is similar to a standard inner product, but it has an additional property where the inner product of a vector with itself is always a positive real number.

2. How is a hyperhermitian inner product different from a regular inner product?

A regular inner product can have a negative or complex value when computing the inner product of a vector with itself. However, a hyperhermitian inner product will always result in a positive real number when calculating the inner product of a vector with itself.

3. What are some examples of hyperhermitian inner product?

One example of a hyperhermitian inner product is the standard dot product in Euclidean space. Another example is the inner product defined on the space of complex-valued continuous functions, which is given by integrating the product of two functions over a given interval.

4. Why are explicit examples of hyperhermitian inner product requested?

Explicit examples of hyperhermitian inner product are requested in order to better understand the concept and its applications. Seeing specific examples can help with visualizing and understanding the properties of a hyperhermitian inner product.

5. How is a hyperhermitian inner product used in scientific research?

Hyperhermitian inner product is used in many areas of scientific research, including quantum mechanics, signal processing, and functional analysis. It is particularly useful in quantum mechanics for describing states of quantum systems and calculating probabilities. In signal processing, hyperhermitian inner product is used for analyzing signals and determining their properties. In functional analysis, it is used to define and study various spaces of functions.

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