Can Normal Matrices Be Non-Self-Adjoint?

In summary, the conversation discusses the idea of finding a matrix that is normal but not self-adjoint. It is suggested that every normal matrix can be written as A+iB where A and B are commuting hermitian matrices. This idea is then generalized to show that diagonal matrices with all real entries are self-adjoint, while those with complex entries are normal. It is also mentioned that every normal operator can be diagonalized with unitary operators.
  • #1
tommyxu3
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Hello everyone, I have a question. I'm not sure if it is trivial. Does anyone have ideas of finding a matrix ##A\in M_n(\mathbb{C})##, where ##A## is normal but not self-adjoint, that is, ##A^*A=AA^*## but ##A\neq A^*?##
 
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  • #2
I think every normal matrix can be written as A+iB where A and B are commuting hermitian matrices.
 
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  • #3
That's a really good idea, thanks a lot!
 
  • #4
Take ##n=1##, then every element of ##\mathbb{R}## is self-adjoint, while every element of ##\mathbb{C}## is normal.
 
  • #5
Yes, that's a special case in ##M_1(\mathbb{C})!##
 
  • #6
tommyxu3 said:
Yes, that's a special case in ##M_1(\mathbb{C})!##

And it can be generalized! Diagonal matrices with all real entries are self-adjoint, with complex entries are normal. Every normal operator can be diagonalized with unitary operators as transition matrices, so the general form of a self-adjoint matrix is ##UDU^*## with ##U## unitary and ##D## a diagonal matrix with real entries. The general form of a normal matrix is ##UDU^*## with ##U## unitary and ##D## a diagonal matrix with complex entries.
 

Related to Can Normal Matrices Be Non-Self-Adjoint?

1. What does it mean for an operator to be "normal but not self-adjoint"?

Normal but not self-adjoint is a term used in mathematics, specifically in the field of linear algebra, to describe an operator that satisfies the commutation relation [A, A*] = 0, where A* is the adjoint or conjugate transpose of A. This means that the operator and its adjoint commute, but the operator is not equal to its adjoint.

2. What are some examples of "normal but not self-adjoint" operators?

One example of a normal but not self-adjoint operator is the differentiation operator on the space of continuous functions defined on a closed interval. Another example is the moment of inertia operator in quantum mechanics.

3. What are the implications of an operator being "normal but not self-adjoint"?

The main implication of an operator being normal but not self-adjoint is that it does not have a complete set of orthogonal eigenvectors. This means that the operator cannot be diagonalized and has a more complex spectral decomposition compared to a self-adjoint operator.

4. How is "normal but not self-adjoint" related to Hermitian operators?

A Hermitian operator is a type of self-adjoint operator, so all Hermitian operators are also normal. However, not all normal operators are self-adjoint, and thus not all normal operators are Hermitian.

5. What are some applications of "normal but not self-adjoint" operators?

Normal but not self-adjoint operators have many applications in mathematics and physics. In quantum mechanics, they are used to describe physical systems with complex behavior, such as systems with time-dependent perturbations. In engineering, they are used in signal processing and control theory. They also have applications in image processing and computer graphics.

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