Alphabeta Math

Linear Transformations, Rank-Nullity and Quotient Spaces

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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.

✓ 4 results · all verified · 0 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 4 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.
1 · Prerequisites
2 · Logical flowchart

3 · Items

Definition

Linear map between vector spaces over the same field

Lemma

A linear map preserves zero, negatives, and subtraction

Definition

Kernel and image of a linear map

Theorem

The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial

Lemma

Extending a basis of the kernel to a basis of the domain gives a basis of the image

Definition

Rank and nullity of a linear map with finite-dimensional domain

Theorem

Rank-nullity: dim_F V=nullityT+rankT

Sources