Paper 4, Section II, F

Linear Algebra | Part IB, 2012

Let VV be a finite-dimensional real vector space of dimension nn. A bilinear form B:V×V→RB: V \times V \rightarrow \mathbb{R} is nondegenerate if for all v≠0\mathbf{v} \neq 0 in VV, there is some w∈V\mathbf{w} \in V with B(v,w)≠0B(\mathbf{v}, \mathbf{w}) \neq 0. For v∈V\mathbf{v} \in V, define ⟨v⟩⊥={w∈V∣B(v,w)=0}\langle\mathbf{v}\rangle^{\perp}=\{\mathbf{w} \in V \mid B(\mathbf{v}, \mathbf{w})=0\}. Assuming BB is nondegenerate, show that V=⟨v⟩⊕⟨v⟩⊥V=\langle\mathbf{v}\rangle \oplus\langle\mathbf{v}\rangle^{\perp} whenever B(v,v)≠0B(\mathbf{v}, \mathbf{v}) \neq 0.

Suppose that BB is a nondegenerate, symmetric bilinear form on VV. Prove that there is a basis {v1,…,vn}\left\{\mathbf{v}_{1}, \ldots, \mathbf{v}_{n}\right\} of VV with B(vi,vj)=0B\left(\mathbf{v}_{i}, \mathbf{v}_{j}\right)=0 for i≠ji \neq j. [If you use the fact that symmetric matrices are diagonalizable, you must prove it.]

Define the signature of a quadratic form. Explain how to determine the signature of the quadratic form associated to BB from the basis you constructed above.

A linear subspace V′⊂VV^{\prime} \subset V is said to be isotropic if B(v,w)=0B(\mathbf{v}, \mathbf{w})=0 for all v,w∈V′\mathbf{v}, \mathbf{w} \in V^{\prime}. Show that if BB is nondegenerate, the maximal dimension of an isotropic subspace of VV is (n−∣σ∣)/2(n-|\sigma|) / 2, where σ\sigma is the signature of the quadratic form associated to BB.

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