### Linearity of the Inner Product

Any function of a vector (which we may call an operator on ) is said to be linear if for all and , and for all scalars and in ,

A linear operator thus commutes with mixing.'' Linearity consists of two component properties:
• homogeneity:
A function of multiple vectors, e.g., can be linear or not with respect to each of its arguments. The inner product is linear in its first argument, i.e., for all , and for all ,

This is easy to show from the definition:

The inner product is also additive in its second argument, i.e.,

but it is only conjugate homogeneous (or antilinear) in its second argument, since

The inner product is strictly linear in its second argument with respect to real scalars and :

where . Since the inner product is linear in both of its arguments for real scalars, it may be called a bilinear operator in that context.
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