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.
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Definition
Let be a field, let , and let and . Their matrix product is the matrix whose entries are
The sum is the finite sum in the additive commutative monoid of . If , it is the empty sum, so is the zero matrix of shape by .
The identity matrix has entry when and entry when . In particular, is the unique empty matrix in .
Depends on
Used by
- Exact-arithmetic LSQR with Golub–Kahan bidiagonalization and explicit statuses Algorithm
- Finite recursive Galerkin V- and W-cycle for an SPD hierarchy Algorithm
- Finite strength-graph aggregation and Galerkin hierarchy with explicit statuses Algorithm
- Finite-budget inexact Newton–Krylov with a descent safeguard Algorithm
- Finite-budget Levenberg-Marquardt with a trust-ratio safeguard Algorithm
- Finite-memory capped DIIS projector proposal with fallback Algorithm
- Flexible GMRES with variable right preconditioning Algorithm
- General-RHS Hermitian Toeplitz solve by reflection recursion and Gohberg–Semencul Algorithm
- Gram-matrix AdaGrad with full or singular diagonal metrics Algorithm
- The rank of a matrix equals the rank of the linear map x↦ Ax Corollary
- A first resolvent estimate does not ensure the prescribed semigroup bound Counterexample
- A fully converged LSQR solve can amplify a small singular-direction error Counterexample
- BCH truncation fails when higher commutators do not vanish Counterexample
- Coercive non-symmetric forms need not have an orthonormal eigenbasis Counterexample
- The product of ILU(0) factors can contain a fill position Counterexample
- A finite family of subsets of [n] and its incidence matrix over F Definition
- A normalised LU factorisation has a unit lower-triangular L and an upper-triangular U Definition
- Bfgs curvature pairs and Hessian/inverse updates Definition
- Block LU factorisation and the associated Schur complement Definition
- Conservative nonnegative network advection routing Definition
- Cuspidal representations and Harish-Chandra series Definition
- Dirac Notation Conversion Definition
- Discrete linear input-state-output experiments Definition
- Elementary matrices obtained by applying one elementary row operation to an identity matrix Definition
- Finite column generator Definition
- Finite nonlinear observation designs, local identifiability, and weighted information Definition
- Finite weighted network diffusion data Definition
- Finite-basis projector energy model Definition
- Finite-dimensional linear contextual bandit model Definition
- Finite-dimensional Schwarz subspace-correction data Definition
- Fixed-particle finite-temperature density-matrix free energy Definition
- Forward and backward substitution for triangular linear systems Definition
- Full-rank lattices, covolume, and the dual lattice Definition
- Galerkin coarse matrices and the exact coarse-correction error map Definition
- Generator and parity-check matrices over a finite field Definition
- Invertible matrices and the general linear group GLₙ(F) Definition
- Lower-shift displacement rank and generator pairs Definition
- Matrix equation Ax=b, its solution set, consistency, homogeneous systems and the augmented matrix [A∣ b] Definition
- Ordered partitions and coordinate parabolics Definition
- Pauli measurement branch semantics Definition
…and 153 more results.
Dependency tree · two levels
13 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
- S. Axler, Linear Algebra Done Right, 4th ed., §3C (standard reference, not scraped)