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Classical bilinear-form equations linearize to matrix spaces
Statement
Let be a field and . If , let be the affine -scheme cut out in by , and let be cut out by these equations together with . At their identity matrix , the space of skew-symmetric matrices.
Over any field and in every characteristic, put and let be the affine -scheme cut out in by and . Its tangent matrices at the identity are exactly and this tangent vector space has dimension . These are tangent-space computations only; they do not assert the global dimension or smoothness of the group schemes.
Facts & Assumptions
Given: A field , an integer , the dual-number ring , and the identity matrices of the groups above.
Tangent vectors at rational points are dual-number points: is naturally isomorphic as a -vector space to the fibre over of based dual-number maps.
The affine scheme of dual numbers: , so every element has unique form and .
Schemes and morphisms over a base: a -morphism commutes with the structure maps to .
Affine schemes are contravariantly equivalent to commutative rings: ring maps between coordinate rings correspond contravariantly to morphisms of affine schemes; with [F3], the maps here are -algebra maps.
Universal property of a polynomial ring on an arbitrary family of indeterminates: the images of all polynomial variables determine a unique ring homomorphism from the polynomial ring.
A ring homomorphism whose kernel contains a two-sided ideal factors uniquely through the quotient ring: a ring map that kills the defining ideal factors uniquely through the quotient coordinate ring.
Entrywise ring-matrix operations, rectangular matrix products, identity matrices and transpose: matrix addition and scalar multiplication are entrywise, and products have entries .
The trace of a square matrix over a commutative ring: the trace is the sum of the diagonal entries, including the empty sum when the size is zero.
For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix: determinant over a commutative ring is the finite signed Leibniz sum over permutations.
Finite rectangular matrices over a commutative ring, their entries, rows and columns: an matrix over is a function on the index set , with value at .
and for finite-dimensional : for a field and finite , .
Entrywise ring-matrix operations, rectangular matrix products, identity matrices and transpose: has ones on the diagonal, and transpose is given by .
Proof
By [F1], each tangent vector at the identity is a based -morphism . The coordinate-ring correspondence [F3, F4], polynomial universal property [F5], and quotient property [F6] identify these with matrices over satisfying the defining equations and reducing to identity. By [F2], every such matrix has unique form for a matrix over .
For , substitution from step 1.1 gives , so preservation of is equivalent to . In characteristic not two, the diagonal equations give and hence ; the off-diagonal equations give . In the Leibniz expansion of , the identity permutation contributes ; any nonidentity permutation moves at least two indices, so every nonzero term has at least two factors and vanishes. Thus [F8, F9] give . Every skew matrix here has trace zero, so it satisfies the additional determinant equation, in both directions, and the two tangent spaces coincide. The entries for are free, giving the skew-matrix dimension .
For the symplectic scheme, step 1.1 gives , so preservation of is equivalent to . Write in blocks. By [F7], . This vanishes exactly when , , and ; the lower-left equation follows from . For every characteristic, , so by the determinant calculation in step 2.1 the equation adds no first-order condition. This proves both inclusions in the asserted tangent-space description.
The block ranges over and contributes dimensions by [F11]. For a symmetric block, the map from that fills the diagonal and upper-triangular entries freely and copies each off-diagonal entry into its transposed position is a linear bijection, using the entrywise vector-space operations in [F7]: symmetry forces exactly those copied entries and leaves the chosen coordinates arbitrary. Thus each of and contributes dimensions. Therefore the symplectic tangent dimension is . For , this is the three-parameter family .
All three schemes contain the identity, so none is empty; the zero tangent vector is . For and , the orthogonal tangent space is zero, while the symplectic tangent space has dimension . The orthogonal characteristic restriction is necessary: in characteristic , for , for every , so , whereas forces for . The symplectic block and determinant calculations in step 3.1 remain valid in characteristic . The identity corresponds to , both tangent descriptions are equation equivalences, and the proof uses only finite entrywise calculations, with no basis choices or AC/DC. The counts are tangent-space dimensions only; no global group dimension or smoothness follows.
Depends on
- Tangent vectors at rational points are dual-number points
- The affine scheme of dual numbers
- Schemes and morphisms over a base
- Affine schemes are contravariantly equivalent to commutative rings
- Universal property of a polynomial ring on an arbitrary family of indeterminates
- A ring homomorphism whose kernel contains a two-sided ideal factors uniquely through the quotient ring
- Finite rectangular matrices over a commutative ring, their entries, rows and columns
- Entrywise ring-matrix operations, rectangular matrix products, identity matrices and transpose
- The trace of a square matrix over a commutative ring
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- $\dim_F M_{m\times n}(F)=mn$ and $\dim_F\mathcal L(V,W)=(\dim_FV)(\dim_FW)$ for finite-dimensional $V,W$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- J. S. Milne, Algebraic Geometry v6.10, §4j Example 4.48, Exercise 4-6, and official solution 4-6 (standard reference, not scraped)