Matrices
Content created by Fredrik Bakke, Egbert Rijke, Jonathan Prieto-Cubides and Åsmund Kløvstad.
Created on 2022-03-08.
Last modified on 2023-06-10.
module linear-algebra.matrices where
Imports
open import elementary-number-theory.natural-numbers open import foundation.action-on-identifications-binary-functions open import foundation.contractible-types open import foundation.dependent-pair-types open import foundation.identity-types open import foundation.universe-levels open import linear-algebra.functoriality-vectors open import linear-algebra.vectors
Idea
An (m × n)
-matrix of elements in A
is an arrangement of elements of A with
m
rows and n
columns. In other words, a matrix is vector of length m
of
vectors of length n
of elements of A
.
Definitions
Matrices
matrix : {l : Level} (A : UU l) → ℕ → ℕ → UU l matrix A m n = vec (vec A n) m
The top row of a matrix
top-row-matrix : {l : Level} {m n : ℕ} {A : UU l} → matrix A (succ-ℕ m) n → vec A n top-row-matrix (v ∷ M) = v
The left column of a matrix
left-column-matrix : {l : Level} {m n : ℕ} {A : UU l} → matrix A m (succ-ℕ n) → vec A m left-column-matrix = map-vec head-vec
The vertical tail of a matrix
vertical-tail-matrix : {l : Level} {m n : ℕ} {A : UU l} → matrix A (succ-ℕ m) n → matrix A m n vertical-tail-matrix M = tail-vec M
The horizontal tail of a matrix
horizontal-tail-matrix : {l : Level} {m n : ℕ} {A : UU l} → matrix A m (succ-ℕ n) → matrix A m n horizontal-tail-matrix = map-vec tail-vec
The vertically empty matrix
vertically-empty-matrix : {l : Level} {n : ℕ} {A : UU l} → matrix A 0 n vertically-empty-matrix = empty-vec eq-vertically-empty-matrix : {l : Level} {n : ℕ} {A : UU l} (x : matrix A 0 n) → Id vertically-empty-matrix x eq-vertically-empty-matrix empty-vec = refl is-contr-matrix-zero-ℕ : {l : Level} {n : ℕ} {A : UU l} → is-contr (matrix A 0 n) pr1 is-contr-matrix-zero-ℕ = vertically-empty-matrix pr2 is-contr-matrix-zero-ℕ = eq-vertically-empty-matrix
The horizontally empty matrix
horizontally-empty-matrix : {l : Level} {m : ℕ} {A : UU l} → matrix A m 0 horizontally-empty-matrix {m = zero-ℕ} = empty-vec horizontally-empty-matrix {m = succ-ℕ m} = empty-vec ∷ horizontally-empty-matrix eq-horizontally-empty-matrix : {l : Level} {m : ℕ} {A : UU l} (x : matrix A m 0) → Id horizontally-empty-matrix x eq-horizontally-empty-matrix {m = zero-ℕ} empty-vec = refl eq-horizontally-empty-matrix {m = succ-ℕ m} (empty-vec ∷ M) = ap-binary _∷_ refl (eq-horizontally-empty-matrix M) is-contr-matrix-zero-ℕ' : {l : Level} {m : ℕ} {A : UU l} → is-contr (matrix A m 0) pr1 is-contr-matrix-zero-ℕ' = horizontally-empty-matrix pr2 is-contr-matrix-zero-ℕ' = eq-horizontally-empty-matrix
Recent changes
- 2023-06-10. Egbert Rijke and Fredrik Bakke. Cleaning up synthetic homotopy theory (#649).
- 2023-05-01. Fredrik Bakke. Refactor 2, the sequel to refactor (#581).
- 2023-03-13. Jonathan Prieto-Cubides. More maintenance (#506).
- 2023-03-10. Fredrik Bakke. Additions to
fix-import
(#497). - 2023-03-09. Jonathan Prieto-Cubides. Add hooks (#495).