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A nondegenerate symmetric form with a half-dimensional isotropic subspace has zero signature
Statement
Let be a finite-dimensional real vector space with a symmetric bilinear form (Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms), and let be totally isotropic: for all . If is nondegenerate (The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space) and , then , with ; equivalently, in a suitable basis is an orthogonal direct sum of hyperbolic planes.
Facts & Assumptions
Given: A finite-dimensional real vector space with a symmetric bilinear form , and a totally isotropic subspace with and nondegenerate.
If a basis diagonalizes with positive, negative and zero diagonal entries, the inertia is , the rank is , the signature is , and Sylvester's law makes the triple independent of the diagonalizing basis (Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form).
Every symmetric bilinear form on a finite-dimensional real vector space is congruent to exactly one normal form with (Sylvester's law of inertia: every real symmetric form is congruent to , and is unique).
In a basis with coordinate columns and one has ; the left and right radicals are the sets of vectors pairing to zero with everything, and is nondegenerate exactly when both radicals vanish (The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space).
A symmetric bilinear form satisfies for all (Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms).
On the Euclidean inner product is positive definite: , and holds only for (The Euclidean inner product on ).
For a linear map with finite-dimensional, (Rank-nullity: ).
A subspace of a finite-dimensional space is finite-dimensional and has dimension at most that of the ambient space (If and is a linear subspace of , then is finite-dimensional, , and if and only if ).
Proof
Proof technique: direct; diagonal normal form and the positivity of sums of squares.
If then and , the inertia is , so and .
Suppose . By [F2], fix a basis of in which has matrix with ; thus with for , for , and otherwise. No is zero: if , then for every , so vanishes on the basis and hence on , putting the nonzero vector in the left radical, contrary to nondegeneracy. Hence and .
Let . Since is totally isotropic, by the diagonal matrix formula [F3]; equivalently .
The coordinate projection , , is injective: if , then , so by step 1.3 also , and by the positive definiteness [F5] applied to the coordinate vector of we get ; hence .
By [F6] applied to the injective linear map , whose image lies in the -dimensional space with basis , we get by [F7].
The projection onto the negative coordinates is injective by the same argument: if , then , so by step 1.3 also , so and step 2.1 gives . Applying [F6] and [F7] as in step 3.1 to the subspace of dimension gives .
Since and , both and equal . By [F1] the inertia is with , so and .
Equivalently, the basis can be chosen hyperbolic: with and , for , bilinearity and [F4] give , and , while orthogonality of the diagonal basis makes the planes pairwise orthogonal with . Thus is an orthogonal direct sum of hyperbolic planes.
Depends on
- Positive and negative definiteness, the inertia $(p,q,r)$, rank $p+q$, and signature $p-q$ of a real symmetric bilinear or quadratic form
- Sylvester's law of inertia: every real symmetric form is congruent to $\operatorname{diag}(I_p,-I_q,0_r)$, and $(p,q,r)$ is unique
- Every symmetric bilinear form on a finite-dimensional space over a field of characteristic not $2$ has an orthogonal basis
- Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms
- The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space
- Two real symmetric bilinear forms are congruent if and only if they have the same inertia
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- Rank-nullity: $\dim_F V=\operatorname{nullity}T+\operatorname{rank}T$
- If $\dim_F V = n$ and $U$ is a linear subspace of $V$, then $U$ is finite-dimensional, $\dim_F U \le n$, and $\dim_F U = n$ if and only if $U = V$
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Sources
- Daniel S. Freed, Bordism: Old and New (lecture notes, UT Austin, Fall 2012) (standard reference, not scraped)
- John Milnor and James Stasheff, Characteristic Classes (re-typeset scan; original pagination) (standard reference, not scraped)