Insights Hilbert Spaces And Their Relatives - Operators

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The discussion focuses on the definitions and conventions related to operators in Hilbert spaces, emphasizing the use of complex conjugates, adjoint matrices, and inner products. Participants express mixed feelings about the content, with some finding it tedious due to the extensive theoretical framework required to describe linear functions. There is a desire for more practical examples in future parts of the discussion to enhance understanding. The importance of having a solid vocabulary to navigate the topic is acknowledged. Overall, the conversation highlights the balance between theory and application in the study of operators within Hilbert spaces.
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Operators. The Maze Of Definitions.​

We will use the conventions of part I (Basics), which are ##\mathbb{F}\in \{\mathbb{R},\mathbb{C}\}##, ##z \mapsto \overline{z}## for the complex conjugate, ##\tau## for transposing matrices or vectors, which we interpret as written in a column if given a basis, and ##\dagger## for the combination of conjugation and transposition, the adjoint matrices. ##\mathcal{H},\mathcal{H}_1,\mathcal{H}_2,\ldots## indicate Hilbert spaces. Their dual spaces are noted by ##\mathcal{H}^*##, the orthogonal complements of a subspace ##U## as ##U^{\perp}##. Our inner products will be sesquilinear in the first and linear in the second argument. Integrability usually refers to the Lebesgue measure.

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jedishrfu said:
Great article @fresh_42 !
Thanks, but I find it a bit boring. So many different aspects only to describe a linear function. I hope that at least the list at the end is of some help to look up definitions in a short time. I hope the next part will be a bit more exciting, i.e. more examples than theory. However, one needs the vocabulary first.
 
Nice work, fresh! (Notwithstanding that you find it boring!)
 

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