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Theorem List for Metamath Proof Explorer - 21901-22000   *Has distinct variable group(s)
TypeLabelDescription
Statement
 
Theoremmatbas0 21901 There is no matrix for a not finite dimension or a proper class as the underlying ring. (Contributed by AV, 28-Dec-2018.)
(Β¬ (𝑁 ∈ Fin ∧ 𝑅 ∈ V) β†’ (Baseβ€˜(𝑁 Mat 𝑅)) = βˆ…)
 
Theoremmatval 21902 Value of the matrix algebra. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    &    Β· = (𝑅 maMul βŸ¨π‘, 𝑁, π‘βŸ©)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ 𝐴 = (𝐺 sSet ⟨(.rβ€˜ndx), Β· ⟩))
 
Theoremmatrcl 21903 Reverse closure for the matrix algebra. (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    β‡’   (𝑋 ∈ 𝐡 β†’ (𝑁 ∈ Fin ∧ 𝑅 ∈ V))
 
Theoremmatbas 21904 The matrix ring has the same base set as its underlying group. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (Baseβ€˜πΊ) = (Baseβ€˜π΄))
 
Theoremmatplusg 21905 The matrix ring has the same addition as its underlying group. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (+gβ€˜πΊ) = (+gβ€˜π΄))
 
Theoremmatsca 21906 The matrix ring has the same scalars as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.) (Proof shortened by AV, 12-Nov-2024.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (Scalarβ€˜πΊ) = (Scalarβ€˜π΄))
 
TheoremmatscaOLD 21907 Obsolete proof of matsca 21906 as of 12-Nov-2024. The matrix ring has the same scalars as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.) (Proof modification is discouraged.) (New usage is discouraged.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (Scalarβ€˜πΊ) = (Scalarβ€˜π΄))
 
Theoremmatvsca 21908 The matrix ring has the same scalar multiplication as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.) (Proof shortened by AV, 12-Nov-2024.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ ( ·𝑠 β€˜πΊ) = ( ·𝑠 β€˜π΄))
 
TheoremmatvscaOLD 21909 Obsolete proof of matvsca 21908 as of 12-Nov-2024. The matrix ring has the same scalar multiplication as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.) (Proof modification is discouraged.) (New usage is discouraged.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ ( ·𝑠 β€˜πΊ) = ( ·𝑠 β€˜π΄))
 
Theoremmat0 21910 The matrix ring has the same zero as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (0gβ€˜πΊ) = (0gβ€˜π΄))
 
Theoremmatinvg 21911 The matrix ring has the same additive inverse as its underlying linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (invgβ€˜πΊ) = (invgβ€˜π΄))
 
Theoremmat0op 21912* Value of a zero matrix as operation. (Contributed by AV, 2-Dec-2018.)
𝐴 = (𝑁 Mat 𝑅)    &    0 = (0gβ€˜π‘…)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ (0gβ€˜π΄) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ 0 ))
 
Theoremmatsca2 21913 The scalars of the matrix ring are the underlying ring. (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ 𝑅 = (Scalarβ€˜π΄))
 
Theoremmatbas2 21914 The base set of the matrix ring as a set exponential. (Contributed by Stefan O'Rear, 5-Sep-2015.) (Proof shortened by AV, 16-Dec-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (𝐾 ↑m (𝑁 Γ— 𝑁)) = (Baseβ€˜π΄))
 
Theoremmatbas2i 21915 A matrix is a function. (Contributed by Stefan O'Rear, 11-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    &   π΅ = (Baseβ€˜π΄)    β‡’   (𝑀 ∈ 𝐡 β†’ 𝑀 ∈ (𝐾 ↑m (𝑁 Γ— 𝑁)))
 
Theoremmatbas2d 21916* The base set of the matrix ring as a mapping operation. (Contributed by Stefan O'Rear, 11-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    &   π΅ = (Baseβ€˜π΄)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   (πœ‘ β†’ 𝑅 ∈ 𝑉)    &   ((πœ‘ ∧ π‘₯ ∈ 𝑁 ∧ 𝑦 ∈ 𝑁) β†’ 𝐢 ∈ 𝐾)    β‡’   (πœ‘ β†’ (π‘₯ ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ 𝐢) ∈ 𝐡)
 
Theoremeqmat 21917* Two square matrices of the same dimension are equal if they have the same entries. (Contributed by AV, 25-Sep-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    β‡’   ((𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) β†’ (𝑋 = π‘Œ ↔ βˆ€π‘– ∈ 𝑁 βˆ€π‘— ∈ 𝑁 (𝑖𝑋𝑗) = (π‘–π‘Œπ‘—)))
 
Theoremmatecl 21918 Each entry (according to Wikipedia "Matrix (mathematics)", 30-Dec-2018, https://en.wikipedia.org/wiki/Matrix_(mathematics)#Definition (or element or component or coefficient or cell) of a matrix is an element of the underlying ring. (Contributed by AV, 16-Dec-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    β‡’   ((𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁 ∧ 𝑀 ∈ (Baseβ€˜π΄)) β†’ (𝐼𝑀𝐽) ∈ 𝐾)
 
Theoremmatecld 21919 Each entry (according to Wikipedia "Matrix (mathematics)", 30-Dec-2018, https://en.wikipedia.org/wiki/Matrix_(mathematics)#Definition (or element or component or coefficient or cell) of a matrix is an element of the underlying ring, deduction form. (Contributed by AV, 27-Nov-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    &   π΅ = (Baseβ€˜π΄)    &   (πœ‘ β†’ 𝐼 ∈ 𝑁)    &   (πœ‘ β†’ 𝐽 ∈ 𝑁)    &   (πœ‘ β†’ 𝑀 ∈ 𝐡)    β‡’   (πœ‘ β†’ (𝐼𝑀𝐽) ∈ 𝐾)
 
Theoremmatplusg2 21920 Addition in the matrix ring is cell-wise. (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    ✚ = (+gβ€˜π΄)    &    + = (+gβ€˜π‘…)    β‡’   ((𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) β†’ (𝑋 ✚ π‘Œ) = (𝑋 ∘f + π‘Œ))
 
Theoremmatvsca2 21921 Scalar multiplication in the matrix ring is cell-wise. (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   πΎ = (Baseβ€˜π‘…)    &    Β· = ( ·𝑠 β€˜π΄)    &    Γ— = (.rβ€˜π‘…)    &   πΆ = (𝑁 Γ— 𝑁)    β‡’   ((𝑋 ∈ 𝐾 ∧ π‘Œ ∈ 𝐡) β†’ (𝑋 Β· π‘Œ) = ((𝐢 Γ— {𝑋}) ∘f Γ— π‘Œ))
 
Theoremmatlmod 21922 The matrix ring is a linear structure. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ 𝐴 ∈ LMod)
 
Theoremmatgrp 21923 The matrix ring is a group. (Contributed by AV, 21-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ 𝐴 ∈ Grp)
 
Theoremmatvscl 21924 Closure of the scalar multiplication in the matrix ring. (lmodvscl 20481 analog.) (Contributed by AV, 27-Nov-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    Β· = ( ·𝑠 β€˜π΄)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝐢 ∈ 𝐾 ∧ 𝑋 ∈ 𝐡)) β†’ (𝐢 Β· 𝑋) ∈ 𝐡)
 
Theoremmatsubg 21925 The matrix ring has the same addition as its underlying group. (Contributed by AV, 2-Aug-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   πΊ = (𝑅 freeLMod (𝑁 Γ— 𝑁))    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (-gβ€˜πΊ) = (-gβ€˜π΄))
 
Theoremmatplusgcell 21926 Addition in the matrix ring is cell-wise. (Contributed by AV, 2-Aug-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    ✚ = (+gβ€˜π΄)    &    + = (+gβ€˜π‘…)    β‡’   (((𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(𝑋 ✚ π‘Œ)𝐽) = ((𝐼𝑋𝐽) + (πΌπ‘Œπ½)))
 
Theoremmatsubgcell 21927 Subtraction in the matrix ring is cell-wise. (Contributed by AV, 2-Aug-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘† = (-gβ€˜π΄)    &    βˆ’ = (-gβ€˜π‘…)    β‡’   ((𝑅 ∈ Ring ∧ (𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(π‘‹π‘†π‘Œ)𝐽) = ((𝐼𝑋𝐽) βˆ’ (πΌπ‘Œπ½)))
 
Theoremmatinvgcell 21928 Additive inversion in the matrix ring is cell-wise. (Contributed by AV, 17-Nov-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‰ = (invgβ€˜π‘…)    &   π‘Š = (invgβ€˜π΄)    β‡’   ((𝑅 ∈ Ring ∧ 𝑋 ∈ 𝐡 ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(π‘Šβ€˜π‘‹)𝐽) = (π‘‰β€˜(𝐼𝑋𝐽)))
 
Theoremmatvscacell 21929 Scalar multiplication in the matrix ring is cell-wise. (Contributed by AV, 7-Aug-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   πΎ = (Baseβ€˜π‘…)    &    Β· = ( ·𝑠 β€˜π΄)    &    Γ— = (.rβ€˜π‘…)    β‡’   ((𝑅 ∈ Ring ∧ (𝑋 ∈ 𝐾 ∧ π‘Œ ∈ 𝐡) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(𝑋 Β· π‘Œ)𝐽) = (𝑋 Γ— (πΌπ‘Œπ½)))
 
Theoremmatgsum 21930* Finite commutative sums in a matrix algebra are taken componentwise. (Contributed by AV, 26-Sep-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π΄)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   (πœ‘ β†’ 𝐽 ∈ π‘Š)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &   ((πœ‘ ∧ 𝑦 ∈ 𝐽) β†’ (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ π‘ˆ) ∈ 𝐡)    &   (πœ‘ β†’ (𝑦 ∈ 𝐽 ↦ (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ π‘ˆ)) finSupp 0 )    β‡’   (πœ‘ β†’ (𝐴 Ξ£g (𝑦 ∈ 𝐽 ↦ (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ π‘ˆ))) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ (𝑅 Ξ£g (𝑦 ∈ 𝐽 ↦ π‘ˆ))))
 
11.4.3  The matrix algebra

The main result of this subsection are the theorems showing that (𝑁 Mat 𝑅) is a ring (see matring 21936) and an associative algebra (see matassa 21937). Additionally, theorems for the identity matrix and transposed matrices are provided.

 
Theoremmatmulr 21931 Multiplication in the matrix algebra. (Contributed by Stefan O'Rear, 4-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &    Β· = (𝑅 maMul βŸ¨π‘, 𝑁, π‘βŸ©)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ Β· = (.rβ€˜π΄))
 
Theoremmamumat1cl 21932* The identity matrix (as operation in maps-to notation) is a matrix. (Contributed by Stefan O'Rear, 2-Sep-2015.)
𝐡 = (Baseβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &   πΌ = (𝑖 ∈ 𝑀, 𝑗 ∈ 𝑀 ↦ if(𝑖 = 𝑗, 1 , 0 ))    &   (πœ‘ β†’ 𝑀 ∈ Fin)    β‡’   (πœ‘ β†’ 𝐼 ∈ (𝐡 ↑m (𝑀 Γ— 𝑀)))
 
Theoremmat1comp 21933* The components of the identity matrix (as operation in maps-to notation). (Contributed by AV, 22-Jul-2019.)
𝐡 = (Baseβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &   πΌ = (𝑖 ∈ 𝑀, 𝑗 ∈ 𝑀 ↦ if(𝑖 = 𝑗, 1 , 0 ))    &   (πœ‘ β†’ 𝑀 ∈ Fin)    β‡’   ((𝐴 ∈ 𝑀 ∧ 𝐽 ∈ 𝑀) β†’ (𝐴𝐼𝐽) = if(𝐴 = 𝐽, 1 , 0 ))
 
Theoremmamulid 21934* The identity matrix (as operation in maps-to notation) is a left identity (for any matrix with the same number of rows). (Contributed by Stefan O'Rear, 3-Sep-2015.) (Proof shortened by AV, 22-Jul-2019.)
𝐡 = (Baseβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &   πΌ = (𝑖 ∈ 𝑀, 𝑗 ∈ 𝑀 ↦ if(𝑖 = 𝑗, 1 , 0 ))    &   (πœ‘ β†’ 𝑀 ∈ Fin)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   πΉ = (𝑅 maMul βŸ¨π‘€, 𝑀, π‘βŸ©)    &   (πœ‘ β†’ 𝑋 ∈ (𝐡 ↑m (𝑀 Γ— 𝑁)))    β‡’   (πœ‘ β†’ (𝐼𝐹𝑋) = 𝑋)
 
Theoremmamurid 21935* The identity matrix (as operation in maps-to notation) is a right identity (for any matrix with the same number of columns). (Contributed by Stefan O'Rear, 3-Sep-2015.) (Proof shortened by AV, 22-Jul-2019.)
𝐡 = (Baseβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &   πΌ = (𝑖 ∈ 𝑀, 𝑗 ∈ 𝑀 ↦ if(𝑖 = 𝑗, 1 , 0 ))    &   (πœ‘ β†’ 𝑀 ∈ Fin)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   πΉ = (𝑅 maMul βŸ¨π‘, 𝑀, π‘€βŸ©)    &   (πœ‘ β†’ 𝑋 ∈ (𝐡 ↑m (𝑁 Γ— 𝑀)))    β‡’   (πœ‘ β†’ (𝑋𝐹𝐼) = 𝑋)
 
Theoremmatring 21936 Existence of the matrix ring, see also the statement in [Lang] p. 504: "For a given integer n > 0 the set of square n x n matrices form a ring." (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ 𝐴 ∈ Ring)
 
Theoremmatassa 21937 Existence of the matrix algebra, see also the statement in [Lang] p. 505: "Then Matn(R) is an algebra over R" . (Contributed by Stefan O'Rear, 5-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) β†’ 𝐴 ∈ AssAlg)
 
Theoremmatmulcell 21938* Multiplication in the matrix ring for a single cell of a matrix. (Contributed by AV, 17-Nov-2019.) (Revised by AV, 3-Jul-2022.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    Γ— = (.rβ€˜π΄)    β‡’   ((𝑅 ∈ Ring ∧ (𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(𝑋 Γ— π‘Œ)𝐽) = (𝑅 Ξ£g (𝑗 ∈ 𝑁 ↦ ((𝐼𝑋𝑗)(.rβ€˜π‘…)(π‘—π‘Œπ½)))))
 
Theoremmpomatmul 21939* Multiplication of two N x N matrices given in maps-to notation. (Contributed by AV, 29-Oct-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &    Γ— = (.rβ€˜π΄)    &    Β· = (.rβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ 𝑉)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   π‘‹ = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ 𝐢)    &   π‘Œ = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ 𝐸)    &   ((πœ‘ ∧ 𝑖 ∈ 𝑁 ∧ 𝑗 ∈ 𝑁) β†’ 𝐢 ∈ 𝐡)    &   ((πœ‘ ∧ 𝑖 ∈ 𝑁 ∧ 𝑗 ∈ 𝑁) β†’ 𝐸 ∈ 𝐡)    &   ((πœ‘ ∧ (π‘˜ = 𝑖 ∧ π‘š = 𝑗)) β†’ 𝐷 = 𝐢)    &   ((πœ‘ ∧ (π‘š = 𝑖 ∧ 𝑙 = 𝑗)) β†’ 𝐹 = 𝐸)    &   ((πœ‘ ∧ π‘˜ ∈ 𝑁 ∧ π‘š ∈ 𝑁) β†’ 𝐷 ∈ π‘ˆ)    &   ((πœ‘ ∧ π‘š ∈ 𝑁 ∧ 𝑙 ∈ 𝑁) β†’ 𝐹 ∈ π‘Š)    β‡’   (πœ‘ β†’ (𝑋 Γ— π‘Œ) = (π‘˜ ∈ 𝑁, 𝑙 ∈ 𝑁 ↦ (𝑅 Ξ£g (π‘š ∈ 𝑁 ↦ (𝐷 Β· 𝐹)))))
 
Theoremmat1 21940* Value of an identity matrix, see also the statement in [Lang] p. 504: "The unit element of the ring of n x n matrices is the matrix In ... whose components are equal to 0 except on the diagonal, in which case they are equal to 1.". (Contributed by Stefan O'Rear, 7-Sep-2015.)
𝐴 = (𝑁 Mat 𝑅)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ (1rβ€˜π΄) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝑗, 1 , 0 )))
 
Theoremmat1ov 21941 Entries of an identity matrix, deduction form. (Contributed by Stefan O'Rear, 10-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &    1 = (1rβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   (πœ‘ β†’ 𝑅 ∈ Ring)    &   (πœ‘ β†’ 𝐼 ∈ 𝑁)    &   (πœ‘ β†’ 𝐽 ∈ 𝑁)    &   π‘ˆ = (1rβ€˜π΄)    β‡’   (πœ‘ β†’ (πΌπ‘ˆπ½) = if(𝐼 = 𝐽, 1 , 0 ))
 
Theoremmat1bas 21942 The identity matrix is a matrix. (Contributed by AV, 15-Feb-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    1 = (1rβ€˜(𝑁 Mat 𝑅))    β‡’   ((𝑅 ∈ Ring ∧ 𝑁 ∈ Fin) β†’ 1 ∈ 𝐡)
 
Theoremmatsc 21943* The identity matrix multiplied with a scalar. (Contributed by Stefan O'Rear, 16-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   πΎ = (Baseβ€˜π‘…)    &    Β· = ( ·𝑠 β€˜π΄)    &    0 = (0gβ€˜π‘…)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝐿 ∈ 𝐾) β†’ (𝐿 Β· (1rβ€˜π΄)) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝑗, 𝐿, 0 )))
 
Theoremofco2 21944 Distribution law for the function operation and the composition of functions. (Contributed by Stefan O'Rear, 17-Jul-2018.)
(((𝐹 ∈ V ∧ 𝐺 ∈ V) ∧ (Fun 𝐻 ∧ (𝐹 ∘ 𝐻) ∈ V ∧ (𝐺 ∘ 𝐻) ∈ V)) β†’ ((𝐹 ∘f 𝑅𝐺) ∘ 𝐻) = ((𝐹 ∘ 𝐻) ∘f 𝑅(𝐺 ∘ 𝐻)))
 
Theoremoftpos 21945 The transposition of the value of a function operation for two functions is the value of the function operation for the two functions transposed. (Contributed by Stefan O'Rear, 17-Jul-2018.)
((𝐹 ∈ 𝑉 ∧ 𝐺 ∈ π‘Š) β†’ tpos (𝐹 ∘f 𝑅𝐺) = (tpos 𝐹 ∘f 𝑅tpos 𝐺))
 
Theoremmattposcl 21946 The transpose of a square matrix is a square matrix of the same size. (Contributed by SO, 9-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    β‡’   (𝑀 ∈ 𝐡 β†’ tpos 𝑀 ∈ 𝐡)
 
Theoremmattpostpos 21947 The transpose of the transpose of a square matrix is the square matrix itself. (Contributed by SO, 17-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    β‡’   (𝑀 ∈ 𝐡 β†’ tpos tpos 𝑀 = 𝑀)
 
Theoremmattposvs 21948 The transposition of a matrix multiplied with a scalar equals the transposed matrix multiplied with the scalar, see also the statement in [Lang] p. 505. (Contributed by Stefan O'Rear, 17-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   πΎ = (Baseβ€˜π‘…)    &    Β· = ( ·𝑠 β€˜π΄)    β‡’   ((𝑋 ∈ 𝐾 ∧ π‘Œ ∈ 𝐡) β†’ tpos (𝑋 Β· π‘Œ) = (𝑋 Β· tpos π‘Œ))
 
Theoremmattpos1 21949 The transposition of the identity matrix is the identity matrix. (Contributed by Stefan O'Rear, 17-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &    1 = (1rβ€˜π΄)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ tpos 1 = 1 )
 
Theoremtposmap 21950 The transposition of an I X J -matrix is a J X I -matrix, see also the statement in [Lang] p. 505. (Contributed by Stefan O'Rear, 9-Jul-2018.)
(𝐴 ∈ (𝐡 ↑m (𝐼 Γ— 𝐽)) β†’ tpos 𝐴 ∈ (𝐡 ↑m (𝐽 Γ— 𝐼)))
 
Theoremmamutpos 21951 Behavior of transposes in matrix products, see also the statement in [Lang] p. 505. (Contributed by Stefan O'Rear, 9-Jul-2018.)
𝐹 = (𝑅 maMul βŸ¨π‘€, 𝑁, π‘ƒβŸ©)    &   πΊ = (𝑅 maMul βŸ¨π‘ƒ, 𝑁, π‘€βŸ©)    &   π΅ = (Baseβ€˜π‘…)    &   (πœ‘ β†’ 𝑅 ∈ CRing)    &   (πœ‘ β†’ 𝑀 ∈ Fin)    &   (πœ‘ β†’ 𝑁 ∈ Fin)    &   (πœ‘ β†’ 𝑃 ∈ Fin)    &   (πœ‘ β†’ 𝑋 ∈ (𝐡 ↑m (𝑀 Γ— 𝑁)))    &   (πœ‘ β†’ π‘Œ ∈ (𝐡 ↑m (𝑁 Γ— 𝑃)))    β‡’   (πœ‘ β†’ tpos (π‘‹πΉπ‘Œ) = (tpos π‘ŒπΊtpos 𝑋))
 
Theoremmattposm 21952 Multiplying two transposed matrices results in the transposition of the product of the two matrices. (Contributed by Stefan O'Rear, 17-Jul-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    Β· = (.rβ€˜π΄)    β‡’   ((𝑅 ∈ CRing ∧ 𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡) β†’ tpos (𝑋 Β· π‘Œ) = (tpos π‘Œ Β· tpos 𝑋))
 
Theoremmatgsumcl 21953* Closure of a group sum over the diagonal coefficients of a square matrix over a commutative ring. (Contributed by AV, 29-Dec-2018.) (Proof shortened by AV, 23-Jul-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘ˆ = (mulGrpβ€˜π‘…)    β‡’   ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐡) β†’ (π‘ˆ Ξ£g (π‘Ÿ ∈ 𝑁 ↦ (π‘Ÿπ‘€π‘Ÿ))) ∈ (Baseβ€˜π‘…))
 
Theoremmadetsumid 21954* The identity summand in the Leibniz' formula of a determinant for a square matrix over a commutative ring. (Contributed by AV, 29-Dec-2018.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘ˆ = (mulGrpβ€˜π‘…)    &   π‘Œ = (β„€RHomβ€˜π‘…)    &   π‘† = (pmSgnβ€˜π‘)    &    Β· = (.rβ€˜π‘…)    β‡’   ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐡 ∧ 𝑃 = ( I β†Ύ 𝑁)) β†’ (((π‘Œ ∘ 𝑆)β€˜π‘ƒ) Β· (π‘ˆ Ξ£g (π‘Ÿ ∈ 𝑁 ↦ ((π‘ƒβ€˜π‘Ÿ)π‘€π‘Ÿ)))) = (π‘ˆ Ξ£g (π‘Ÿ ∈ 𝑁 ↦ (π‘Ÿπ‘€π‘Ÿ))))
 
Theoremmatepmcl 21955* Each entry of a matrix with an index as permutation of the other is an element of the underlying ring. (Contributed by AV, 1-Jan-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘ƒ = (Baseβ€˜(SymGrpβ€˜π‘))    β‡’   ((𝑅 ∈ Ring ∧ 𝑄 ∈ 𝑃 ∧ 𝑀 ∈ 𝐡) β†’ βˆ€π‘› ∈ 𝑁 ((π‘„β€˜π‘›)𝑀𝑛) ∈ (Baseβ€˜π‘…))
 
Theoremmatepm2cl 21956* Each entry of a matrix with an index as permutation of the other is an element of the underlying ring. (Contributed by AV, 1-Jan-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘ƒ = (Baseβ€˜(SymGrpβ€˜π‘))    β‡’   ((𝑅 ∈ Ring ∧ 𝑄 ∈ 𝑃 ∧ 𝑀 ∈ 𝐡) β†’ βˆ€π‘› ∈ 𝑁 (𝑛𝑀(π‘„β€˜π‘›)) ∈ (Baseβ€˜π‘…))
 
Theoremmadetsmelbas 21957* A summand of the determinant of a matrix belongs to the underlying ring. (Contributed by AV, 1-Jan-2019.)
𝑃 = (Baseβ€˜(SymGrpβ€˜π‘))    &   π‘† = (pmSgnβ€˜π‘)    &   π‘Œ = (β„€RHomβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   πΊ = (mulGrpβ€˜π‘…)    β‡’   ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐡 ∧ 𝑄 ∈ 𝑃) β†’ (((π‘Œ ∘ 𝑆)β€˜π‘„)(.rβ€˜π‘…)(𝐺 Ξ£g (𝑛 ∈ 𝑁 ↦ ((π‘„β€˜π‘›)𝑀𝑛)))) ∈ (Baseβ€˜π‘…))
 
Theoremmadetsmelbas2 21958* A summand of the determinant of a matrix belongs to the underlying ring. (Contributed by AV, 1-Jan-2019.)
𝑃 = (Baseβ€˜(SymGrpβ€˜π‘))    &   π‘† = (pmSgnβ€˜π‘)    &   π‘Œ = (β„€RHomβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   πΊ = (mulGrpβ€˜π‘…)    β‡’   ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐡 ∧ 𝑄 ∈ 𝑃) β†’ (((π‘Œ ∘ 𝑆)β€˜π‘„)(.rβ€˜π‘…)(𝐺 Ξ£g (𝑛 ∈ 𝑁 ↦ (𝑛𝑀(π‘„β€˜π‘›))))) ∈ (Baseβ€˜π‘…))
 
11.4.4  Matrices of dimension 0 and 1

As already mentioned before, and shown in mat0dimbas0 21959, the empty set is the sole zero-dimensional matrix (also called "empty matrix", see Wikipedia https://en.wikipedia.org/wiki/Matrix_(mathematics)#Empty_matrices). 21959 In the following, some properties of the empty matrix are shown, especially that the empty matrix over an arbitrary ring forms a commutative ring, see mat0dimcrng 21963.

For the one-dimensional case, it can be shown that a ring of matrices with dimension 1 is isomorphic to the underlying ring, see mat1ric 21980.

 
Theoremmat0dimbas0 21959 The empty set is the one and only matrix of dimension 0, called "the empty matrix". (Contributed by AV, 27-Feb-2019.)
(𝑅 ∈ 𝑉 β†’ (Baseβ€˜(βˆ… Mat 𝑅)) = {βˆ…})
 
Theoremmat0dim0 21960 The zero of the algebra of matrices with dimension 0. (Contributed by AV, 6-Aug-2019.)
𝐴 = (βˆ… Mat 𝑅)    β‡’   (𝑅 ∈ Ring β†’ (0gβ€˜π΄) = βˆ…)
 
Theoremmat0dimid 21961 The identity of the algebra of matrices with dimension 0. (Contributed by AV, 6-Aug-2019.)
𝐴 = (βˆ… Mat 𝑅)    β‡’   (𝑅 ∈ Ring β†’ (1rβ€˜π΄) = βˆ…)
 
Theoremmat0dimscm 21962 The scalar multiplication in the algebra of matrices with dimension 0. (Contributed by AV, 6-Aug-2019.)
𝐴 = (βˆ… Mat 𝑅)    β‡’   ((𝑅 ∈ Ring ∧ 𝑋 ∈ (Baseβ€˜π‘…)) β†’ (𝑋( ·𝑠 β€˜π΄)βˆ…) = βˆ…)
 
Theoremmat0dimcrng 21963 The algebra of matrices with dimension 0 (over an arbitrary ring!) is a commutative ring. (Contributed by AV, 10-Aug-2019.)
𝐴 = (βˆ… Mat 𝑅)    β‡’   (𝑅 ∈ Ring β†’ 𝐴 ∈ CRing)
 
Theoremmat1dimelbas 21964* A matrix with dimension 1 is an ordered pair with an ordered pair (of the one and only pair of indices) as first component. (Contributed by AV, 15-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ (𝑀 ∈ (Baseβ€˜π΄) ↔ βˆƒπ‘Ÿ ∈ 𝐡 𝑀 = {βŸ¨π‘‚, π‘ŸβŸ©}))
 
Theoremmat1dimbas 21965 A matrix with dimension 1 is an ordered pair with an ordered pair (of the one and only pair of indices) as first component. (Contributed by AV, 15-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉 ∧ 𝑋 ∈ 𝐡) β†’ {βŸ¨π‘‚, π‘‹βŸ©} ∈ (Baseβ€˜π΄))
 
Theoremmat1dim0 21966 The zero of the algebra of matrices with dimension 1. (Contributed by AV, 15-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ (0gβ€˜π΄) = {βŸ¨π‘‚, (0gβ€˜π‘…)⟩})
 
Theoremmat1dimid 21967 The identity of the algebra of matrices with dimension 1. (Contributed by AV, 15-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ (1rβ€˜π΄) = {βŸ¨π‘‚, (1rβ€˜π‘…)⟩})
 
Theoremmat1dimscm 21968 The scalar multiplication in the algebra of matrices with dimension 1. (Contributed by AV, 16-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   (((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) ∧ (𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡)) β†’ (𝑋( ·𝑠 β€˜π΄){βŸ¨π‘‚, π‘ŒβŸ©}) = {βŸ¨π‘‚, (𝑋(.rβ€˜π‘…)π‘Œ)⟩})
 
Theoremmat1dimmul 21969 The ring multiplication in the algebra of matrices with dimension 1. (Contributed by AV, 16-Aug-2019.) (Proof shortened by AV, 18-Apr-2021.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   (((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) ∧ (𝑋 ∈ 𝐡 ∧ π‘Œ ∈ 𝐡)) β†’ ({βŸ¨π‘‚, π‘‹βŸ©} (.rβ€˜π΄){βŸ¨π‘‚, π‘ŒβŸ©}) = {βŸ¨π‘‚, (𝑋(.rβ€˜π‘…)π‘Œ)⟩})
 
Theoremmat1dimcrng 21970 The algebra of matrices with dimension 1 over a commutative ring is a commutative ring. (Contributed by AV, 16-Aug-2019.)
𝐴 = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &   π‘‚ = ⟨𝐸, 𝐸⟩    β‡’   ((𝑅 ∈ CRing ∧ 𝐸 ∈ 𝑉) β†’ 𝐴 ∈ CRing)
 
Theoremmat1f1o 21971* There is a 1-1 function from a ring onto the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹:𝐾–1-1-onto→𝐡)
 
Theoremmat1rhmval 21972* The value of the ring homomorphism 𝐹. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉 ∧ 𝑋 ∈ 𝐾) β†’ (πΉβ€˜π‘‹) = {βŸ¨π‘‚, π‘‹βŸ©})
 
Theoremmat1rhmelval 21973* The value of the ring homomorphism 𝐹. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉 ∧ 𝑋 ∈ 𝐾) β†’ (𝐸(πΉβ€˜π‘‹)𝐸) = 𝑋)
 
Theoremmat1rhmcl 21974* The value of the ring homomorphism 𝐹 is a matrix with dimension 1. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉 ∧ 𝑋 ∈ 𝐾) β†’ (πΉβ€˜π‘‹) ∈ 𝐡)
 
Theoremmat1f 21975* There is a function from a ring to the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹:𝐾⟢𝐡)
 
Theoremmat1ghm 21976* There is a group homomorphism from the additive group of a ring to the additive group of the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹 ∈ (𝑅 GrpHom 𝐴))
 
Theoremmat1mhm 21977* There is a monoid homomorphism from the multiplicative group of a ring to the multiplicative group of the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    &   π‘€ = (mulGrpβ€˜π‘…)    &   π‘ = (mulGrpβ€˜π΄)    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹 ∈ (𝑀 MndHom 𝑁))
 
Theoremmat1rhm 21978* There is a ring homomorphism from a ring to the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹 ∈ (𝑅 RingHom 𝐴))
 
Theoremmat1rngiso 21979* There is a ring isomorphism from a ring to the ring of matrices with dimension 1 over this ring. (Contributed by AV, 22-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = ({𝐸} Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &   π‘‚ = ⟨𝐸, 𝐸⟩    &   πΉ = (π‘₯ ∈ 𝐾 ↦ {βŸ¨π‘‚, π‘₯⟩})    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝐹 ∈ (𝑅 RingIso 𝐴))
 
Theoremmat1ric 21980 A ring is isomorphic to the ring of matrices with dimension 1 over this ring. (Contributed by AV, 30-Dec-2019.)
𝐴 = ({𝐸} Mat 𝑅)    β‡’   ((𝑅 ∈ Ring ∧ 𝐸 ∈ 𝑉) β†’ 𝑅 β‰ƒπ‘Ÿ 𝐴)
 
11.4.5  The subalgebras of diagonal and scalar matrices

According to Wikipedia ("Diagonal Matrix", 8-Dec-2019, https://en.wikipedia.org/wiki/Diagonal_matrix): "In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero; the term usually refers to square matrices." The diagonal matrices are mentioned in [Lang] p. 576, but without giving them a dedicated definition. Furthermore, "A diagonal matrix with all its main diagonal entries equal is a scalar matrix, that is, a scalar multiple πœ† βˆ— 𝐼 of the identity matrix 𝐼. Its effect on a vector is scalar multiplication by πœ† [see scmatscm 22006!]". The scalar multiples of the identity matrix are mentioned in [Lang] p. 504, but without giving them a special name.

The main results of this subsection are the definitions of the sets of diagonal and scalar matrices (df-dmat 21983 and df-scmat 21984), basic properties of (elements of) these sets, and theorems showing that the diagonal matrices form a subring of the ring of square matrices (dmatsrng 21994), that the scalar matrices form a subring of the ring of square matrices (scmatsrng 22013), that the scalar matrices form a subring of the ring of diagonal matrices (scmatsrng1 22016) and that the ring of scalar matrices over a commutative ring is a commutative ring (scmatcrng 22014).

 
Syntaxcdmat 21981 Extend class notation for the algebra of diagonal matrices.
class DMat
 
Syntaxcscmat 21982 Extend class notation for the algebra of scalar matrices.
class ScMat
 
Definitiondf-dmat 21983* Define the set of n x n diagonal (square) matrices over a set (usually a ring) r, see definition in [Roman] p. 4 or Definition 3.12 in [Hefferon] p. 240. (Contributed by AV, 8-Dec-2019.)
DMat = (𝑛 ∈ Fin, π‘Ÿ ∈ V ↦ {π‘š ∈ (Baseβ€˜(𝑛 Mat π‘Ÿ)) ∣ βˆ€π‘– ∈ 𝑛 βˆ€π‘— ∈ 𝑛 (𝑖 β‰  𝑗 β†’ (π‘–π‘šπ‘—) = (0gβ€˜π‘Ÿ))})
 
Definitiondf-scmat 21984* Define the algebra of n x n scalar matrices over a set (usually a ring) r, see definition in [Connell] p. 57: "A scalar matrix is a diagonal matrix for which all the diagonal terms are equal, i.e., a matrix of the form cIn";. (Contributed by AV, 8-Dec-2019.)
ScMat = (𝑛 ∈ Fin, π‘Ÿ ∈ V ↦ ⦋(𝑛 Mat π‘Ÿ) / π‘Žβ¦Œ{π‘š ∈ (Baseβ€˜π‘Ž) ∣ βˆƒπ‘ ∈ (Baseβ€˜π‘Ÿ)π‘š = (𝑐( ·𝑠 β€˜π‘Ž)(1rβ€˜π‘Ž))})
 
Theoremdmatval 21985* The set of 𝑁 x 𝑁 diagonal matrices over (a ring) 𝑅. (Contributed by AV, 8-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ 𝐷 = {π‘š ∈ 𝐡 ∣ βˆ€π‘– ∈ 𝑁 βˆ€π‘— ∈ 𝑁 (𝑖 β‰  𝑗 β†’ (π‘–π‘šπ‘—) = 0 )})
 
Theoremdmatel 21986* A 𝑁 x 𝑁 diagonal matrix over (a ring) 𝑅. (Contributed by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (𝑀 ∈ 𝐷 ↔ (𝑀 ∈ 𝐡 ∧ βˆ€π‘– ∈ 𝑁 βˆ€π‘— ∈ 𝑁 (𝑖 β‰  𝑗 β†’ (𝑖𝑀𝑗) = 0 ))))
 
Theoremdmatmat 21987 An 𝑁 x 𝑁 diagonal matrix over (the ring) 𝑅 is an 𝑁 x 𝑁 matrix over (the ring) 𝑅. (Contributed by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (𝑀 ∈ 𝐷 β†’ 𝑀 ∈ 𝐡))
 
Theoremdmatid 21988 The identity matrix is a diagonal matrix. (Contributed by AV, 19-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) β†’ (1rβ€˜π΄) ∈ 𝐷)
 
Theoremdmatelnd 21989 An extradiagonal entry of a diagonal matrix is equal to zero. (Contributed by AV, 19-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑋 ∈ 𝐷) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁 ∧ 𝐼 β‰  𝐽)) β†’ (𝐼𝑋𝐽) = 0 )
 
Theoremdmatmul 21990* The product of two diagonal matrices. (Contributed by AV, 19-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝑋 ∈ 𝐷 ∧ π‘Œ ∈ 𝐷)) β†’ (𝑋(.rβ€˜π΄)π‘Œ) = (π‘₯ ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ if(π‘₯ = 𝑦, ((π‘₯𝑋𝑦)(.rβ€˜π‘…)(π‘₯π‘Œπ‘¦)), 0 )))
 
Theoremdmatsubcl 21991 The difference of two diagonal matrices is a diagonal matrix. (Contributed by AV, 19-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝑋 ∈ 𝐷 ∧ π‘Œ ∈ 𝐷)) β†’ (𝑋(-gβ€˜π΄)π‘Œ) ∈ 𝐷)
 
Theoremdmatsgrp 21992 The set of diagonal matrices is a subgroup of the matrix group/algebra. (Contributed by AV, 19-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑅 ∈ Ring ∧ 𝑁 ∈ Fin) β†’ 𝐷 ∈ (SubGrpβ€˜π΄))
 
Theoremdmatmulcl 21993 The product of two diagonal matrices is a diagonal matrix. (Contributed by AV, 20-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝑋 ∈ 𝐷 ∧ π‘Œ ∈ 𝐷)) β†’ (𝑋(.rβ€˜π΄)π‘Œ) ∈ 𝐷)
 
Theoremdmatsrng 21994 The set of diagonal matrices is a subring of the matrix ring/algebra. (Contributed by AV, 20-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    β‡’   ((𝑅 ∈ Ring ∧ 𝑁 ∈ Fin) β†’ 𝐷 ∈ (SubRingβ€˜π΄))
 
Theoremdmatcrng 21995 The subring of diagonal matrices (over a commutative ring) is a commutative ring . (Contributed by AV, 20-Aug-2019.) (Revised by AV, 18-Dec-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    0 = (0gβ€˜π‘…)    &   π· = (𝑁 DMat 𝑅)    &   πΆ = (𝐴 β†Ύs 𝐷)    β‡’   ((𝑅 ∈ CRing ∧ 𝑁 ∈ Fin) β†’ 𝐢 ∈ CRing)
 
Theoremdmatscmcl 21996 The multiplication of a diagonal matrix with a scalar is a diagonal matrix. (Contributed by AV, 19-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    βˆ— = ( ·𝑠 β€˜π΄)    &   π· = (𝑁 DMat 𝑅)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝐢 ∈ 𝐾 ∧ 𝑀 ∈ 𝐷)) β†’ (𝐢 βˆ— 𝑀) ∈ 𝐷)
 
Theoremscmatval 21997* The set of 𝑁 x 𝑁 scalar matrices over (a ring) 𝑅. (Contributed by AV, 18-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    1 = (1rβ€˜π΄)    &    Β· = ( ·𝑠 β€˜π΄)    &   π‘† = (𝑁 ScMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ 𝑆 = {π‘š ∈ 𝐡 ∣ βˆƒπ‘ ∈ 𝐾 π‘š = (𝑐 Β· 1 )})
 
Theoremscmatel 21998* An 𝑁 x 𝑁 scalar matrix over (a ring) 𝑅. (Contributed by AV, 18-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    1 = (1rβ€˜π΄)    &    Β· = ( ·𝑠 β€˜π΄)    &   π‘† = (𝑁 ScMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) β†’ (𝑀 ∈ 𝑆 ↔ (𝑀 ∈ 𝐡 ∧ βˆƒπ‘ ∈ 𝐾 𝑀 = (𝑐 Β· 1 ))))
 
Theoremscmatscmid 21999* A scalar matrix can be expressed as a multiplication of a scalar with the identity matrix. (Contributed by AV, 30-Oct-2019.) (Revised by AV, 18-Dec-2019.)
𝐾 = (Baseβ€˜π‘…)    &   π΄ = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π΄)    &    1 = (1rβ€˜π΄)    &    Β· = ( ·𝑠 β€˜π΄)    &   π‘† = (𝑁 ScMat 𝑅)    β‡’   ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝑆) β†’ βˆƒπ‘ ∈ 𝐾 𝑀 = (𝑐 Β· 1 ))
 
Theoremscmatscmide 22000 An entry of a scalar matrix expressed as a multiplication of a scalar with the identity matrix. (Contributed by AV, 30-Oct-2019.)
𝐴 = (𝑁 Mat 𝑅)    &   π΅ = (Baseβ€˜π‘…)    &    0 = (0gβ€˜π‘…)    &    1 = (1rβ€˜π΄)    &    βˆ— = ( ·𝑠 β€˜π΄)    β‡’   (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝐢 ∈ 𝐡) ∧ (𝐼 ∈ 𝑁 ∧ 𝐽 ∈ 𝑁)) β†’ (𝐼(𝐢 βˆ— 1 )𝐽) = if(𝐼 = 𝐽, 𝐢, 0 ))
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206 20501-20600 207 20601-20700 208 20701-20800 209 20801-20900 210 20901-21000 211 21001-21100 212 21101-21200 213 21201-21300 214 21301-21400 215 21401-21500 216 21501-21600 217 21601-21700 218 21701-21800 219 21801-21900 220 21901-22000 221 22001-22100 222 22101-22200 223 22201-22300 224 22301-22400 225 22401-22500 226 22501-22600 227 22601-22700 228 22701-22800 229 22801-22900 230 22901-23000 231 23001-23100 232 23101-23200 233 23201-23300 234 23301-23400 235 23401-23500 236 23501-23600 237 23601-23700 238 23701-23800 239 23801-23900 240 23901-24000 241 24001-24100 242 24101-24200 243 24201-24300 244 24301-24400 245 24401-24500 246 24501-24600 247 24601-24700 248 24701-24800 249 24801-24900 250 24901-25000 251 25001-25100 252 25101-25200 253 25201-25300 254 25301-25400 255 25401-25500 256 25501-25600 257 25601-25700 258 25701-25800 259 25801-25900 260 25901-26000 261 26001-26100 262 26101-26200 263 26201-26300 264 26301-26400 265 26401-26500 266 26501-26600 267 26601-26700 268 26701-26800 269 26801-26900 270 26901-27000 271 27001-27100 272 27101-27200 273 27201-27300 274 27301-27400 275 27401-27500 276 27501-27600 277 27601-27700 278 27701-27800 279 27801-27900 280 27901-28000 281 28001-28100 282 28101-28200 283 28201-28300 284 28301-28400 285 28401-28500 286 28501-28600 287 28601-28700 288 28701-28800 289 28801-28900 290 28901-29000 291 29001-29100 292 29101-29200 293 29201-29300 294 29301-29400 295 29401-29500 296 29501-29600 297 29601-29700 298 29701-29800 299 29801-29900 300 29901-30000 301 30001-30100 302 30101-30200 303 30201-30300 304 30301-30400 305 30401-30500 306 30501-30600 307 30601-30700 308 30701-30800 309 30801-30900 310 30901-31000 311 31001-31100 312 31101-31200 313 31201-31300 314 31301-31400 315 31401-31500 316 31501-31600 317 31601-31700 318 31701-31800 319 31801-31900 320 31901-32000 321 32001-32100 322 32101-32200 323 32201-32300 324 32301-32400 325 32401-32500 326 32501-32600 327 32601-32700 328 32701-32800 329 32801-32900 330 32901-33000 331 33001-33100 332 33101-33200 333 33201-33300 334 33301-33400 335 33401-33500 336 33501-33600 337 33601-33700 338 33701-33800 339 33801-33900 340 33901-34000 341 34001-34100 342 34101-34200 343 34201-34300 344 34301-34400 345 34401-34500 346 34501-34600 347 34601-34700 348 34701-34800 349 34801-34900 350 34901-35000 351 35001-35100 352 35101-35200 353 35201-35300 354 35301-35400 355 35401-35500 356 35501-35600 357 35601-35700 358 35701-35800 359 35801-35900 360 35901-36000 361 36001-36100 362 36101-36200 363 36201-36300 364 36301-36400 365 36401-36500 366 36501-36600 367 36601-36700 368 36701-36800 369 36801-36900 370 36901-37000 371 37001-37100 372 37101-37200 373 37201-37300 374 37301-37400 375 37401-37500 376 37501-37600 377 37601-37700 378 37701-37800 379 37801-37900 380 37901-38000 381 38001-38100 382 38101-38200 383 38201-38300 384 38301-38400 385 38401-38500 386 38501-38600 387 38601-38700 388 38701-38800 389 38801-38900 390 38901-39000 391 39001-39100 392 39101-39200 393 39201-39300 394 39301-39400 395 39401-39500 396 39501-39600 397 39601-39700 398 39701-39800 399 39801-39900 400 39901-40000 401 40001-40100 402 40101-40200 403 40201-40300 404 40301-40400 405 40401-40500 406 40501-40600 407 40601-40700 408 40701-40800 409 40801-40900 410 40901-41000 411 41001-41100 412 41101-41200 413 41201-41300 414 41301-41400 415 41401-41500 416 41501-41600 417 41601-41700 418 41701-41800 419 41801-41900 420 41901-42000 421 42001-42100 422 42101-42200 423 42201-42300 424 42301-42400 425 42401-42500 426 42501-42600 427 42601-42700 428 42701-42800 429 42801-42900 430 42901-43000 431 43001-43100 432 43101-43200 433 43201-43300 434 43301-43400 435 43401-43500 436 43501-43600 437 43601-43700 438 43701-43800 439 43801-43900 440 43901-44000 441 44001-44100 442 44101-44200 443 44201-44300 444 44301-44400 445 44401-44500 446 44501-44600 447 44601-44700 448 44701-44800 449 44801-44900 450 44901-45000 451 45001-45100 452 45101-45200 453 45201-45300 454 45301-45400 455 45401-45500 456 45501-45600 457 45601-45700 458 45701-45800 459 45801-45900 460 45901-46000 461 46001-46100 462 46101-46200 463 46201-46300 464 46301-46400 465 46401-46500 466 46501-46600 467 46601-46700 468 46701-46800 469 46801-46900 470 46901-47000 471 47001-47100 472 47101-47200 473 47201-47300 474 47301-47400 475 47401-47500 476 47501-47600 477 47601-47700 478 47701-47800 479 47801-47805
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