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.
For a field extension , one has as -algebras
Example
Let be a field extension and let be a natural number. Entrywise scalar extension gives an isomorphism of -algebras
The assertion includes and .
Facts & Assumptions
Given: A field extension and a natural number .
The specified embedding makes an extension field of (Field extensions, generated subrings , generated subfields , and simple extensions).
and are the corresponding finite function spaces with entrywise vector-space operations; for each is the zero space (The vector space of by matrices over a field, with entrywise operations).
For every field , is a ring under matrix multiplication, including the one-element zero ring at ( is a ring under entrywise addition and matrix multiplication, including the zero ring ).
A prescription extends to a homomorphism on if and only if is balanced, and the extension is then unique (A formula on elementary tensors defines a homomorphism exactly when its underlying pairing is balanced).
Tensor products of algebras have multiplication (The tensor product of -algebras has multiplication ).
Extension of scalars carries the -action , and an -scalar moves across a balanced tensor (Restriction of scalars and extension of scalars along a ring homomorphism ).
Verification
For , let have entry at and elsewhere. Entrywise decomposition writes every uniquely as , so the form an -basis; when , this is the empty basis of the zero space.
The pairing is -balanced, so [L4] gives a unique additive with , and is -linear by [L6]. Define by , which is additive and -linear by [L6]. Then by step 1.1, and on a generator , moving each -scalar across the balanced tensor by [L6] and using step 1.1. Both composites are additive and agree on generators, so and are mutually inverse and the displayed map is a -linear isomorphism.
Matrix multiplication gives if and . The displayed map preserves these products by [L5], and it sends to ; by bilinearity it is a unital algebra homomorphism.
Combining steps 2.1 and 2.2 proves the algebra isomorphism. For it is the unique map between one-element zero algebras, while for it is the tensor-unit identification .
Depends on
- The tensor product of $R$-algebras has multiplication $(a\otimes b)(a'\otimes b')=aa'\otimes bb'$
- A formula on elementary tensors defines a homomorphism exactly when its underlying pairing is balanced
- Restriction of scalars and extension of scalars $S\otimes_RM$ along a ring homomorphism $R\to S$
- $M_n(F)$ is a ring under entrywise addition and matrix multiplication, including the zero ring $M_0(F)$
- The vector space $M_{m \times n}(F) := F^{\,m \times n}$ of $m$ by $n$ matrices over a field, with entrywise operations
- Field extensions, generated subrings $F[S]$, generated subfields $F(S)$, and simple extensions
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 76 results over 17 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Wenqi Li, Commutative Algebra, Lecture 9 (standard reference, not scraped)