Math 2.0

Linear and multilinear algebra; matrix theory Definition

Sesquilinear form

Builds on Vector space

Definition

Let VV be a vector space over ℂ\C. A sesquilinear form on VV is a map φ ⁣:V×V→ℂ\varphi \colon V \times V \to \C such that, for all u,v,w∈Vu, v, w \in V and a∈ℂa \in \C:

  1. φ(u+v,w)=φ(u,w)+φ(v,w)\varphi(u + v, w) = \varphi(u, w) + \varphi(v, w) and φ(au,w)=a φ(u,w)\varphi(au, w) = a\, \varphi(u, w).
  2. φ(u,v+w)=φ(u,v)+φ(u,w)\varphi(u, v + w) = \varphi(u, v) + \varphi(u, w) and φ(u,aw)=aˉ φ(u,w)\varphi(u, aw) = \bar a\, \varphi(u, w).

Remarks

Here the form is linear in the first argument; many authors, especially in physics, use linearity in the second argument instead. A sesquilinear form is Hermitian when φ(v,u)=φ(u,v)‾\varphi(v, u) = \overline{\varphi(u, v)} for all u,vu, v. On ℂn\C^n, each sesquilinear form is φ(x,y)=y∗Mx\varphi(x, y) = y^* M x for one n×nn \times n complex matrix MM. A complex inner product is a positive definite Hermitian sesquilinear form.

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  1. Vector space definition
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Further reading

  1. Web https://en.wikipedia.org/wiki/Sesquilinear_form, Complex vector spaces
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