What Am I Getting Wrong About Matrices and Operators?

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SUMMARY

This discussion centers on the confusion surrounding the terminology and application of matrices and operators, particularly in the context of complex and infinite-dimensional spaces. The participant seeks clarification on the differences between symmetric matrices and self-adjoint operators, emphasizing that real numbers are self-conjugate as complex numbers. The conversation highlights the importance of inner products in defining adjoints in infinite-dimensional cases, contrasting them with finite-dimensional representations.

PREREQUISITES
  • Understanding of complex matrices and operators
  • Familiarity with the concepts of symmetric and self-adjoint operators
  • Knowledge of inner products in vector spaces
  • Basic principles of finite and infinite-dimensional spaces
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  • Study the properties of complex conjugates in matrix theory
  • Explore the definitions and differences between symmetric and self-adjoint operators
  • Learn about inner product spaces and their role in infinite-dimensional analysis
  • Investigate the implications of operator theory in quantum mechanics
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Students and professionals in mathematics, physics, and engineering who are dealing with linear algebra, operator theory, and the application of matrices in complex and infinite-dimensional contexts.

ognik
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I thought I had this clear, then I met operators and - at least to me - the new information overlapped with, and potentially changed, that understanding. Research on the web didn't help as there seem to be different uses & opinions ...

So what I am trying to do is NOT make a summary of what things are, but simply what applies to what - in terms of the course I am doing. So it would be incredibly helpful to me at this time, if you could look at the attached PDF and tell me what is wrong with it - with the explanation below in mind.

Note that I have tried to stick to my book's notation, which uses * for complex conjugate and $ \dagger $ for hermitian.
Also this is not a summary at all of what these are or do, just wanting to be sure what applies to what.

For example my book talked earlier about symmetric matrices, but then used 'self-adjoint' for the equivalent (real) operators. I understand that many operators are matrices, but this application of terminology made sense to me because, again for example, it didn't make sense to talk of an operator that wasn't a matrix as being symmetric (even though it can be treated as such - hope I am making myself clear )
 

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A couple of quick thoughts:

1. Focus on the complex case. The real counterparts are just "special cases" of the complex case, since real numbers are self-conjugate as complex numbers.

2. In the infinite-dimensional (operator) case, we no longer have a compact numerical representation of our vectors. Here is where inner products come to our rescue: we take PROPERTIES of the adjoint in the finite-dimensional case, and USE these to DEFINE the adjoint in the infinite-dimensional case. Now we don't need a finite basis.
 
Thanks, appreciated. We are only just getting to infinite dimensional stuff ...

The thing is, I showed this table to my professor who said it was completely wrong - but I thought I had been quite careful in compiling it. I would really appreciate knowing specifically what is wrong with it?
 

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