Let $H$ be a Hilbert space with inner product $\langle \cdot \mid \cdot \rangle$ and let $\xi, \eta$ be vectors in $H$.
We define the map $\xi \otimes \eta^*: H \to H$ by $\xi \otimes \eta^*(\zeta) = \langle \zeta \mid \eta \rangle \xi$ for each $\zeta \in H$.
I am trying to show that $\xi \otimes \eta^*$ is a bounded linear operator on $H$ and that $|| \xi \otimes \eta^* || = || \xi|| \cdot || \eta ||$.
I understand the idea, I think. It's clear that $\xi \otimes \eta^*(\zeta) = \langle \zeta \mid \eta \rangle \xi = c \xi$, for some $c \in \mathbb{F}$ that depends on $\zeta, \eta$. So it makes sense that it's a bounded linear map.
But I'm being conceptually thrown off by the notation - I don't really understand what $\eta^*$ is referring to, if anything. The notation makes me think of the adjoint of an operator on Hilbert space, but I don't understand how/why a vector has an adjoint. I also don't really understand how this relates to tensor products.
Does this operator have a well-known name that I can search to read more about it? Or can anyone explain the intuition behind why the notation might be this way?
If we would write $\xi \otimes \eta$ instead, this would suggest that $(\xi, \eta) \mapsto \xi \otimes \eta$ is bilinear. However, this is not the case since we have antilinearity in the second factor. To emphasise this and because the adjoint has the property $(\lambda x)^* =\overline{\lambda}x^*$, we use the notation $\xi \otimes \eta^*$ instead. Perhaps it is safer to use $\xi \otimes \overline{\eta}$ instead.
I'm not aware of any special name, since these operators are just the rank-one operators.
Note that $$\|\xi \otimes \eta^*\| = \sup_{\|\zeta\| \le 1} \|\langle \zeta,\eta\rangle\xi\| = \|\xi\| \sup_{\|\zeta\| \le 1} |\langle \zeta, \eta\rangle| \le \|\xi\|\|\eta\|$$ by the Cauchy-Schwarz inequality. To see the other inequality, note that $$\left\|(\xi \otimes \eta^*)\left(\frac{\eta}{\|\eta\|}\right)\right\|= \|\xi\|\|\eta\|$$ when $\eta \ne 0$.