Hilbert Spaces And Their Relatives - Operators

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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.