How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The special linear group is a codimension-one embedded submanifold
Example
For , the special linear group
is an embedded codimension-one submanifold of the Euclidean space .
Facts & Assumptions
Given: The determinant map .
A nonempty regular level set of a map into an -manifold is an embedded submanifold of codimension (A regular level set is an embedded submanifold).
The determinant is multiplicative, and an invertible matrix has inverse given by the adjugate formula (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix, For same-sized finite square matrices over a commutative ring, , If is a unit, then ).
Euclidean differentials are computed by one-variable directional derivatives and the usual derivative algebra (A total derivative computes every directional derivative, and its matrix is the Jacobian, Sums, scalar multiples, products and quotients: , , , and when ).
Verification
Let and . Using [F1], for small one has because . Differentiating at with [L2] gives .
This linear functional is surjective, because . Hence is a regular value of the determinant.
The level set is nonempty because . By [L1], is therefore an embedded codimension-one submanifold.
Depends on
- A regular level set is an embedded submanifold
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- For same-sized finite square matrices over a commutative ring, $\det(AB)=\det(A)\det(B)$
- If $\det(A)$ is a unit, then $A^{-1}=\det(A)^{-1}\operatorname{adj}(A)$
- A total derivative computes every directional derivative, and its matrix is the Jacobian
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
39 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John M. Lee, Introduction to Smooth Manifolds, Level Sets (standard reference, not scraped)