BilinearAndQuadraticForms
Stephen A. Crowley edited this page Nov 23, 2023
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In real vector spaces, every quadratic form is indeed associated with a unique symmetric bilinear form.
- A quadratic form in a real vector space is a function
$Q: V \to \mathbb{R}$ defined by$Q(v) = B(v, v)$ for a symmetric bilinear form$B$ . - Given a vector
$x \in \mathbb{R}^n$ and a symmetric matrix$A \in \mathbb{R}^{n \times n}$ , a quadratic form is an expression of the form$Q(x) = x^T A x$ .
- A bilinear form
$B: V \times V \to \mathbb{R}$ is a function that is linear in each of its two arguments. - The bilinear form is symmetric if
$B(u, v) = B(v, u)$ for all$u, v \in V$ .
- For a quadratic form
$Q$ on a real vector space, there exists a unique symmetric bilinear form$B$ such that$Q(v) = B(v, v)$ . - This bilinear form
$B$ is determined by the polarization identity:
In complex vector spaces, the relationship between quadratic forms and bilinear forms is more nuanced due to the role of complex conjugation.
- In a complex vector space, a sesquilinear form is linear in its first argument and conjugate-linear in its second argument.
- A Hermitian form is a sesquilinear form satisfying
$B(u, v) = \overline{B(v, u)}$ .
- Defining a quadratic form in complex spaces is less straightforward and involves a Hermitian form, but the relationship is not as direct as in real spaces.
- The polarization identity in complex spaces involves complex conjugation and works with Hermitian forms.