Conjugate of a matrix and of a function

In summary, the conversation discusses the concept of conjugates in both functions and matrices. While the conjugate of a function in a linear vector space (LVS) is always the same thing, the conjugate of a matrix in an LVS is not always the same. The conversation also clarifies the difference between a conjugate and a conjugate transpose or Hermitian transpose of a matrix. Finally, the conversation touches on the topic of linear transformations and their adjoints, where the matrix of the adjoint is just the conjugate transpose of the matrix of the original transformation.
  • #1
DeepSeeded
113
1
Hello,

Working without complex numbers a conjugate of any function in a LVS is always the same thing. A conjugate of any matrix in a LVS is very often not the same thing though. I am just confused as to why functional spaces rely on complex numbers for the conjugate to have any importance and a matrix does not.
 
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  • #2
Where did you see that? The "conjugate" of a matrix is just the matrix with the entries replaced by there complex conjugates. If M is a matrix with all real entries then the conjugate of M is just M itself.

You may be confusing "conjugate" with the "conjugate transpose" or "Hermitian transpose" of a matrix: swap rows and columns and take the conjugate of each entry. Of course, if M has all real entries, it "conjugate transpose" is just its transpose.
 
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  • #3
HallsofIvy said:
Where did you see that? The "conjugate" of a matrix is just the matrix with the entries replaced by there complex conjugates. If M is a matrix with all real entries then the conjugate of M is just M itself.

You may be confusing "conjugate" with the "conjugate transpose" or "Hermitian transpose" of a matrix: swap rows and columns and take the conjugate of each entry. Of course, if M has all real entries, it "conjugate transpose" is just its transpose.

So guess my question is if functions are a different represenation of a matrix why is there no option to transpose a function?
 
  • #4
In what sense is a function a "different representation of a matrix"? Are you talking about representing linear functions represented by a matrix?
 
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  • #5
In my QM class Operator functions are said to be like a matrix.
 
  • #6
I don't fully understand your question, but maybe you'd like to hear about the adjoint of a linear transformation.

Let [tex]V,W[/tex] be inner-product spaces, let [tex]T\in L(V,W)[/tex] be a linear transformation, and [tex]T^*\in L(W,V)[/tex] its adjoint. This means that [tex]\langle Tv,w \rangle=\langle v,T^*w \rangle[/tex] for all [tex]v\in V,w\in W[/tex]. Then, the matrix of [tex]T^*[/tex] with respect to orthonormal bases of [tex]V[/tex] and [tex]W[/tex] is just the conjugate transpose of the matrix of [tex]T[/tex] with respect to these bases. As mentioned earlier, the conjugate transpose of a matrix is just the transpose (interchange rows and colums) of the matrix with all entries replaced by their complex conjugates.
 

Related to Conjugate of a matrix and of a function

What is a conjugate of a matrix?

A conjugate of a matrix is a matrix that is formed by taking the transpose of the original matrix and then taking the complex conjugate of each element in the matrix. This means that the imaginary part of each element is multiplied by -1.

How is the conjugate of a matrix calculated?

The conjugate of a matrix is calculated by taking the transpose of the original matrix and then replacing each element with its complex conjugate. This can be done manually or using computational tools such as programming languages or calculators.

What is the purpose of finding the conjugate of a matrix?

Finding the conjugate of a matrix is important in linear algebra, as it allows for the simplification of complex equations involving matrices. It also has applications in fields such as quantum mechanics, signal processing, and image processing.

What is the conjugate of a function?

A conjugate of a function is a function that is formed by taking the complex conjugate of the original function's output. This means that the imaginary part of the output is multiplied by -1. This is often used in complex analysis to simplify integrals and other calculations.

Can the conjugate of a matrix or function be used in real-world applications?

Yes, the conjugate of a matrix and function have various applications in fields such as physics, engineering, and computer science. These include solving differential equations, analyzing signals and images, and designing efficient algorithms.

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