For scalars and vectors , use the adjoint identity and conjugate linearity in the second argument:
The difference of the two second-argument vectors is orthogonal to every . Choosing to be that difference shows its squared norm is zero. Therefore
The two conjugations are why the adjoint is a linear map, despite the conjugate-linear dependence of the representing functional on its second argument.

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