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Type | Label | Description |
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Statement | ||
Theorem | symgmatr01 21901* | Applying a permutation that does not fix a certain element of a set to a second element to an index of a matrix a row with 0's and a 1. (Contributed by AV, 3-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) ⇒ ⊢ ((𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁) → (𝑄 ∈ (𝑃 ∖ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐿}) → ∃𝑘 ∈ 𝑁 (𝑘(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 1 , 0 ), (𝑖𝑀𝑗)))(𝑄‘𝑘)) = 0 )) | ||
Theorem | gsummatr01lem1 21902* | Lemma A for gsummatr01 21906. (Contributed by AV, 8-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝑅 = {𝑟 ∈ 𝑃 ∣ (𝑟‘𝐾) = 𝐿} ⇒ ⊢ ((𝑄 ∈ 𝑅 ∧ 𝑋 ∈ 𝑁) → (𝑄‘𝑋) ∈ 𝑁) | ||
Theorem | gsummatr01lem2 21903* | Lemma B for gsummatr01 21906. (Contributed by AV, 8-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝑅 = {𝑟 ∈ 𝑃 ∣ (𝑟‘𝐾) = 𝐿} ⇒ ⊢ ((𝑄 ∈ 𝑅 ∧ 𝑋 ∈ 𝑁) → (∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 (𝑖𝐴𝑗) ∈ (Base‘𝐺) → (𝑋𝐴(𝑄‘𝑋)) ∈ (Base‘𝐺))) | ||
Theorem | gsummatr01lem3 21904* | Lemma 1 for gsummatr01 21906. (Contributed by AV, 8-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝑅 = {𝑟 ∈ 𝑃 ∣ (𝑟‘𝐾) = 𝐿} & ⊢ 0 = (0g‘𝐺) & ⊢ 𝑆 = (Base‘𝐺) ⇒ ⊢ (((𝐺 ∈ CMnd ∧ 𝑁 ∈ Fin) ∧ (∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 (𝑖𝐴𝑗) ∈ 𝑆 ∧ 𝐵 ∈ 𝑆) ∧ (𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁 ∧ 𝑄 ∈ 𝑅)) → (𝐺 Σg (𝑛 ∈ ((𝑁 ∖ {𝐾}) ∪ {𝐾}) ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 0 , 𝐵), (𝑖𝐴𝑗)))(𝑄‘𝑛)))) = ((𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 0 , 𝐵), (𝑖𝐴𝑗)))(𝑄‘𝑛))))(+g‘𝐺)(𝐾(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 0 , 𝐵), (𝑖𝐴𝑗)))(𝑄‘𝐾)))) | ||
Theorem | gsummatr01lem4 21905* | Lemma 2 for gsummatr01 21906. (Contributed by AV, 8-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝑅 = {𝑟 ∈ 𝑃 ∣ (𝑟‘𝐾) = 𝐿} & ⊢ 0 = (0g‘𝐺) & ⊢ 𝑆 = (Base‘𝐺) ⇒ ⊢ ((((𝐺 ∈ CMnd ∧ 𝑁 ∈ Fin) ∧ (∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 (𝑖𝐴𝑗) ∈ 𝑆 ∧ 𝐵 ∈ 𝑆) ∧ (𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁 ∧ 𝑄 ∈ 𝑅)) ∧ 𝑛 ∈ (𝑁 ∖ {𝐾})) → (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 0 , 𝐵), (𝑖𝐴𝑗)))(𝑄‘𝑛)) = (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐿}) ↦ (𝑖𝐴𝑗))(𝑄‘𝑛))) | ||
Theorem | gsummatr01 21906* | Lemma 1 for smadiadetlem4 21916. (Contributed by AV, 8-Jan-2019.) |
⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝑅 = {𝑟 ∈ 𝑃 ∣ (𝑟‘𝐾) = 𝐿} & ⊢ 0 = (0g‘𝐺) & ⊢ 𝑆 = (Base‘𝐺) ⇒ ⊢ (((𝐺 ∈ CMnd ∧ 𝑁 ∈ Fin) ∧ (∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 (𝑖𝐴𝑗) ∈ 𝑆 ∧ 𝐵 ∈ 𝑆) ∧ (𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁 ∧ 𝑄 ∈ 𝑅)) → (𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 0 , 𝐵), (𝑖𝐴𝑗)))(𝑄‘𝑛)))) = (𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐿}) ↦ (𝑖𝐴𝑗))(𝑄‘𝑛))))) | ||
Theorem | marep01ma 21907* | Replacing a row of a square matrix by a row with 0's and a 1 results in a square matrix of the same dimension. (Contributed by AV, 30-Dec-2018.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) ⇒ ⊢ (𝑀 ∈ 𝐵 → (𝑘 ∈ 𝑁, 𝑙 ∈ 𝑁 ↦ if(𝑘 = 𝐻, if(𝑙 = 𝐼, 1 , 0 ), (𝑘𝑀𝑙))) ∈ 𝐵) | ||
Theorem | smadiadetlem0 21908* | Lemma 0 for smadiadet 21917: The products of the Leibniz' formula vanish for all permutations fixing the index of the row containing the 0's and the 1 to the column with the 1. (Contributed by AV, 3-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁) → (𝑄 ∈ (𝑃 ∖ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐿}) → (𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 1 , 0 ), (𝑖𝑀𝑗)))(𝑄‘𝑛)))) = 0 )) | ||
Theorem | smadiadetlem1 21909* | Lemma 1 for smadiadet 21917: A summand of the determinant of a matrix belongs to the underlying ring. (Contributed by AV, 1-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) ⇒ ⊢ (((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) ∧ 𝑝 ∈ 𝑃) → (((𝑌 ∘ 𝑆)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐾, 1 , 0 ), (𝑖𝑀𝑗)))(𝑝‘𝑛))))) ∈ (Base‘𝑅)) | ||
Theorem | smadiadetlem1a 21910* | Lemma 1a for smadiadet 21917: The summands of the Leibniz' formula vanish for all permutations fixing the index of the row containing the 0's and the 1 to the column with the 1. (Contributed by AV, 3-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁 ∧ 𝐿 ∈ 𝑁) → (𝑅 Σg (𝑝 ∈ (𝑃 ∖ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐿}) ↦ (((𝑌 ∘ 𝑆)‘𝑝) · (𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐿, 1 , 0 ), (𝑖𝑀𝑗)))(𝑝‘𝑛))))))) = 0 ) | ||
Theorem | smadiadetlem2 21911* | Lemma 2 for smadiadet 21917: The summands of the Leibniz' formula vanish for all permutations fixing the index of the row containing the 0's and the 1 to itself. (Contributed by AV, 31-Dec-2018.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → (𝑅 Σg (𝑝 ∈ (𝑃 ∖ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐾}) ↦ (((𝑌 ∘ 𝑆)‘𝑝) · (𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐾, 1 , 0 ), (𝑖𝑀𝑗)))(𝑝‘𝑛))))))) = 0 ) | ||
Theorem | smadiadetlem3lem0 21912* | Lemma 0 for smadiadetlem3 21915. (Contributed by AV, 12-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) & ⊢ 𝑊 = (Base‘(SymGrp‘(𝑁 ∖ {𝐾}))) & ⊢ 𝑍 = (pmSgn‘(𝑁 ∖ {𝐾})) ⇒ ⊢ (((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) ∧ 𝑄 ∈ 𝑊) → (((𝑌 ∘ 𝑍)‘𝑄)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑄‘𝑛))))) ∈ (Base‘𝑅)) | ||
Theorem | smadiadetlem3lem1 21913* | Lemma 1 for smadiadetlem3 21915. (Contributed by AV, 12-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) & ⊢ 𝑊 = (Base‘(SymGrp‘(𝑁 ∖ {𝐾}))) & ⊢ 𝑍 = (pmSgn‘(𝑁 ∖ {𝐾})) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → (𝑝 ∈ 𝑊 ↦ (((𝑌 ∘ 𝑍)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛)))))):𝑊⟶(Base‘𝑅)) | ||
Theorem | smadiadetlem3lem2 21914* | Lemma 2 for smadiadetlem3 21915. (Contributed by AV, 12-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) & ⊢ 𝑊 = (Base‘(SymGrp‘(𝑁 ∖ {𝐾}))) & ⊢ 𝑍 = (pmSgn‘(𝑁 ∖ {𝐾})) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → ran (𝑝 ∈ 𝑊 ↦ (((𝑌 ∘ 𝑍)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛)))))) ⊆ ((Cntz‘𝑅)‘ran (𝑝 ∈ 𝑊 ↦ (((𝑌 ∘ 𝑍)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛)))))))) | ||
Theorem | smadiadetlem3 21915* | Lemma 3 for smadiadet 21917. (Contributed by AV, 31-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) & ⊢ 𝑊 = (Base‘(SymGrp‘(𝑁 ∖ {𝐾}))) & ⊢ 𝑍 = (pmSgn‘(𝑁 ∖ {𝐾})) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → (𝑅 Σg (𝑝 ∈ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐾} ↦ (((𝑌 ∘ 𝑆)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛))))))) = (𝑅 Σg (𝑝 ∈ 𝑊 ↦ (((𝑌 ∘ 𝑍)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛)))))))) | ||
Theorem | smadiadetlem4 21916* | Lemma 4 for smadiadet 21917. (Contributed by AV, 31-Jan-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑃 = (Base‘(SymGrp‘𝑁)) & ⊢ 𝐺 = (mulGrp‘𝑅) & ⊢ 𝑌 = (ℤRHom‘𝑅) & ⊢ 𝑆 = (pmSgn‘𝑁) & ⊢ · = (.r‘𝑅) & ⊢ 𝑊 = (Base‘(SymGrp‘(𝑁 ∖ {𝐾}))) & ⊢ 𝑍 = (pmSgn‘(𝑁 ∖ {𝐾})) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → (𝑅 Σg (𝑝 ∈ {𝑞 ∈ 𝑃 ∣ (𝑞‘𝐾) = 𝐾} ↦ (((𝑌 ∘ 𝑆)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ 𝑁 ↦ (𝑛(𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝐾, if(𝑗 = 𝐾, 1 , 0 ), (𝑖𝑀𝑗)))(𝑝‘𝑛))))))) = (𝑅 Σg (𝑝 ∈ 𝑊 ↦ (((𝑌 ∘ 𝑍)‘𝑝)(.r‘𝑅)(𝐺 Σg (𝑛 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑛(𝑖 ∈ (𝑁 ∖ {𝐾}), 𝑗 ∈ (𝑁 ∖ {𝐾}) ↦ (𝑖𝑀𝑗))(𝑝‘𝑛)))))))) | ||
Theorem | smadiadet 21917 | The determinant of a submatrix of a square matrix obtained by removing a row and a column at the same index equals the determinant of the original matrix with the row replaced with 0's and a 1 at the diagonal position. (Contributed by AV, 31-Jan-2019.) (Proof shortened by AV, 24-Jul-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐸 = ((𝑁 ∖ {𝐾}) maDet 𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁) → (𝐸‘(𝐾((𝑁 subMat 𝑅)‘𝑀)𝐾)) = (𝐷‘(𝐾((𝑁 minMatR1 𝑅)‘𝑀)𝐾))) | ||
Theorem | smadiadetglem1 21918 | Lemma 1 for smadiadetg 21920. (Contributed by AV, 13-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐸 = ((𝑁 ∖ {𝐾}) maDet 𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁 ∧ 𝑆 ∈ (Base‘𝑅)) → ((𝐾(𝑀(𝑁 matRRep 𝑅)𝑆)𝐾) ↾ ((𝑁 ∖ {𝐾}) × 𝑁)) = ((𝐾((𝑁 minMatR1 𝑅)‘𝑀)𝐾) ↾ ((𝑁 ∖ {𝐾}) × 𝑁))) | ||
Theorem | smadiadetglem2 21919 | Lemma 2 for smadiadetg 21920. (Contributed by AV, 14-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐸 = ((𝑁 ∖ {𝐾}) maDet 𝑅) & ⊢ · = (.r‘𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁 ∧ 𝑆 ∈ (Base‘𝑅)) → ((𝐾(𝑀(𝑁 matRRep 𝑅)𝑆)𝐾) ↾ ({𝐾} × 𝑁)) = ((({𝐾} × 𝑁) × {𝑆}) ∘f · ((𝐾((𝑁 minMatR1 𝑅)‘𝑀)𝐾) ↾ ({𝐾} × 𝑁)))) | ||
Theorem | smadiadetg 21920 | The determinant of a square matrix with one row replaced with 0's and an arbitrary element of the underlying ring at the diagonal position equals the ring element multiplied with the determinant of a submatrix of the square matrix obtained by removing the row and the column at the same index. (Contributed by AV, 14-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑅 ∈ CRing & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐸 = ((𝑁 ∖ {𝐾}) maDet 𝑅) & ⊢ · = (.r‘𝑅) ⇒ ⊢ ((𝑀 ∈ 𝐵 ∧ 𝐾 ∈ 𝑁 ∧ 𝑆 ∈ (Base‘𝑅)) → (𝐷‘(𝐾(𝑀(𝑁 matRRep 𝑅)𝑆)𝐾)) = (𝑆 · (𝐸‘(𝐾((𝑁 subMat 𝑅)‘𝑀)𝐾)))) | ||
Theorem | smadiadetg0 21921 | Lemma for smadiadetr 21922: version of smadiadetg 21920 with all hypotheses defining class variables removed, i.e. all class variables defined in the hypotheses replaced in the theorem by their definition. (Contributed by AV, 15-Feb-2019.) |
⊢ 𝑅 ∈ CRing ⇒ ⊢ ((𝑀 ∈ (Base‘(𝑁 Mat 𝑅)) ∧ 𝐾 ∈ 𝑁 ∧ 𝑆 ∈ (Base‘𝑅)) → ((𝑁 maDet 𝑅)‘(𝐾(𝑀(𝑁 matRRep 𝑅)𝑆)𝐾)) = (𝑆(.r‘𝑅)(((𝑁 ∖ {𝐾}) maDet 𝑅)‘(𝐾((𝑁 subMat 𝑅)‘𝑀)𝐾)))) | ||
Theorem | smadiadetr 21922 | The determinant of a square matrix with one row replaced with 0's and an arbitrary element of the underlying ring at the diagonal position equals the ring element multiplied with the determinant of a submatrix of the square matrix obtained by removing the row and the column at the same index. Closed form of smadiadetg 21920. Special case of the "Laplace expansion", see definition in [Lang] p. 515. (Contributed by AV, 15-Feb-2019.) |
⊢ (((𝑅 ∈ CRing ∧ 𝑀 ∈ (Base‘(𝑁 Mat 𝑅))) ∧ (𝐾 ∈ 𝑁 ∧ 𝑆 ∈ (Base‘𝑅))) → ((𝑁 maDet 𝑅)‘(𝐾(𝑀(𝑁 matRRep 𝑅)𝑆)𝐾)) = (𝑆(.r‘𝑅)(((𝑁 ∖ {𝐾}) maDet 𝑅)‘(𝐾((𝑁 subMat 𝑅)‘𝑀)𝐾)))) | ||
Theorem | invrvald 21923 | If a matrix multiplied with a given matrix (from the left as well as from the right) results in the identity matrix, this matrix is the inverse (matrix) of the given matrix. (Contributed by Stefan O'Rear, 17-Jul-2018.) |
⊢ 𝐵 = (Base‘𝑅) & ⊢ · = (.r‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ 𝑈 = (Unit‘𝑅) & ⊢ 𝐼 = (invr‘𝑅) & ⊢ (𝜑 → 𝑅 ∈ Ring) & ⊢ (𝜑 → 𝑋 ∈ 𝐵) & ⊢ (𝜑 → 𝑌 ∈ 𝐵) & ⊢ (𝜑 → (𝑋 · 𝑌) = 1 ) & ⊢ (𝜑 → (𝑌 · 𝑋) = 1 ) ⇒ ⊢ (𝜑 → (𝑋 ∈ 𝑈 ∧ (𝐼‘𝑋) = 𝑌)) | ||
Theorem | matinv 21924 | The inverse of a matrix is the adjunct of the matrix multiplied with the inverse of the determinant of the matrix if the determinant is a unit in the underlying ring. Proposition 4.16 in [Lang] p. 518. (Contributed by Stefan O'Rear, 17-Jul-2018.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐽 = (𝑁 maAdju 𝑅) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑈 = (Unit‘𝐴) & ⊢ 𝑉 = (Unit‘𝑅) & ⊢ 𝐻 = (invr‘𝑅) & ⊢ 𝐼 = (invr‘𝐴) & ⊢ ∙ = ( ·𝑠 ‘𝐴) ⇒ ⊢ ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐵 ∧ (𝐷‘𝑀) ∈ 𝑉) → (𝑀 ∈ 𝑈 ∧ (𝐼‘𝑀) = ((𝐻‘(𝐷‘𝑀)) ∙ (𝐽‘𝑀)))) | ||
Theorem | matunit 21925 | A matrix is a unit in the ring of matrices iff its determinant is a unit in the underlying ring. (Contributed by Stefan O'Rear, 17-Jul-2018.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑈 = (Unit‘𝐴) & ⊢ 𝑉 = (Unit‘𝑅) ⇒ ⊢ ((𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐵) → (𝑀 ∈ 𝑈 ↔ (𝐷‘𝑀) ∈ 𝑉)) | ||
In the following, Cramer's rule cramer 21938 is proven. According to Wikipedia "Cramer's rule", 21-Feb-2019, https://en.wikipedia.org/wiki/Cramer%27s_rule 21938: "[Cramer's rule] ... expresses the [unique] solution [of a system of linear equations] in terms of the determinants of the (square) coefficient matrix and of matrices obtained from it by replacing one column by the column vector of right-hand sides of the equations." The outline of the proof for systems of linear equations with coefficients from a commutative ring, according to the proof in Wikipedia (https://en.wikipedia.org/wiki/Cramer's_rule#A_short_proof), 21938 is as follows: The system of linear equations 𝐴 × 𝑋 = 𝐵 to be solved shall be given by the N x N coefficient matrix 𝐴 and the N-dimensional vector 𝐵. Let (𝐴‘𝑖) be the matrix obtained by replacing the i-th column of the coefficient matrix 𝐴 by the right-hand side vector 𝐵. Additionally, let (𝑋‘𝑖) be the matrix obtained by replacing the i-th column of the identity matrix by the solution vector 𝑋, with 𝑋 = (𝑥‘𝑖). Finally, it is assumed that det 𝐴 is a unit in the underlying ring. With these definitions, it follows that 𝐴 × (𝑋‘𝑖) = (𝐴‘𝑖) (cramerimplem2 21931), using matrix multiplication (mamuval 21633) and multiplication of a vector with a matrix (mulmarep1gsum2 21821). By using the multiplicativity of the determinant (mdetmul 21870) it follows that det (𝐴‘𝑖) = det (𝐴 × (𝑋‘𝑖)) = det 𝐴 · det (𝑋‘𝑖) (cramerimplem3 21932). Furthermore, it follows that det (𝑋‘𝑖) = (𝑥‘𝑖) (cramerimplem1 21930). To show this, a special case of the Laplace expansion is used (smadiadetg 21920). From these equations and the cancellation law for division in a ring (dvrcan3 20021) it follows that (𝑥‘𝑖) = det (𝑋‘𝑖) = det (𝐴‘𝑖) / det 𝐴. This is the right to left implication (cramerimp 21933, cramerlem1 21934, cramerlem2 21935) of Cramer's rule (cramer 21938). The left to right implication is shown by cramerlem3 21936, using the fact that a solution of the system of linear equations exists (slesolex 21929). Notice that for the special case of 0-dimensional matrices/vectors only the left to right implication is valid (see cramer0 21937), because assuming the right-hand side of the implication ((𝑋 · 𝑍) = 𝑌), 𝑍 could be anything (see mavmul0g 21800). | ||
Theorem | slesolvec 21926 | Every solution of a system of linear equations represented by a matrix and a vector is a vector. (Contributed by AV, 10-Feb-2019.) (Revised by AV, 27-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) ⇒ ⊢ (((𝑁 ≠ ∅ ∧ 𝑅 ∈ Ring) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉)) → ((𝑋 · 𝑍) = 𝑌 → 𝑍 ∈ 𝑉)) | ||
Theorem | slesolinv 21927 | The solution of a system of linear equations represented by a matrix with a unit as determinant is the multiplication of the inverse of the matrix with the right-hand side vector. (Contributed by AV, 10-Feb-2019.) (Revised by AV, 28-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐼 = (invr‘𝐴) ⇒ ⊢ (((𝑁 ≠ ∅ ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ ((𝐷‘𝑋) ∈ (Unit‘𝑅) ∧ (𝑋 · 𝑍) = 𝑌)) → 𝑍 = ((𝐼‘𝑋) · 𝑌)) | ||
Theorem | slesolinvbi 21928 | The solution of a system of linear equations represented by a matrix with a unit as determinant is the multiplication of the inverse of the matrix with the right-hand side vector. (Contributed by AV, 11-Feb-2019.) (Revised by AV, 28-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ 𝐼 = (invr‘𝐴) ⇒ ⊢ (((𝑁 ≠ ∅ ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → ((𝑋 · 𝑍) = 𝑌 ↔ 𝑍 = ((𝐼‘𝑋) · 𝑌))) | ||
Theorem | slesolex 21929* | Every system of linear equations represented by a matrix with a unit as determinant has a solution. (Contributed by AV, 11-Feb-2019.) (Revised by AV, 28-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ 𝐷 = (𝑁 maDet 𝑅) ⇒ ⊢ (((𝑁 ≠ ∅ ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → ∃𝑧 ∈ 𝑉 (𝑋 · 𝑧) = 𝑌) | ||
Theorem | cramerimplem1 21930 | Lemma 1 for cramerimp 21933: The determinant of the identity matrix with the ith column replaced by a (column) vector equals the ith component of the vector. (Contributed by AV, 15-Feb-2019.) (Revised by AV, 5-Jul-2022.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐸 = (((1r‘𝐴)(𝑁 matRepV 𝑅)𝑍)‘𝐼) & ⊢ 𝐷 = (𝑁 maDet 𝑅) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing ∧ 𝐼 ∈ 𝑁) ∧ 𝑍 ∈ 𝑉) → (𝐷‘𝐸) = (𝑍‘𝐼)) | ||
Theorem | cramerimplem2 21931 | Lemma 2 for cramerimp 21933: The matrix of a system of linear equations multiplied with the identity matrix with the ith column replaced by the solution vector of the system of linear equations equals the matrix of the system of linear equations with the ith column replaced by the right-hand side vector of the system of linear equations. (Contributed by AV, 19-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐸 = (((1r‘𝐴)(𝑁 matRepV 𝑅)𝑍)‘𝐼) & ⊢ 𝐻 = ((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝐼) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ × = (𝑅 maMul 〈𝑁, 𝑁, 𝑁〉) ⇒ ⊢ (((𝑅 ∈ CRing ∧ 𝐼 ∈ 𝑁) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝑋 · 𝑍) = 𝑌) → (𝑋 × 𝐸) = 𝐻) | ||
Theorem | cramerimplem3 21932 | Lemma 3 for cramerimp 21933: The determinant of the matrix of a system of linear equations multiplied with the determinant of the identity matrix with the ith column replaced by the solution vector of the system of linear equations equals the determinant of the matrix of the system of linear equations with the ith column replaced by the right-hand side vector of the system of linear equations. (Contributed by AV, 19-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐸 = (((1r‘𝐴)(𝑁 matRepV 𝑅)𝑍)‘𝐼) & ⊢ 𝐻 = ((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝐼) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ ⊗ = (.r‘𝑅) ⇒ ⊢ (((𝑅 ∈ CRing ∧ 𝐼 ∈ 𝑁) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝑋 · 𝑍) = 𝑌) → ((𝐷‘𝑋) ⊗ (𝐷‘𝐸)) = (𝐷‘𝐻)) | ||
Theorem | cramerimp 21933 | One direction of Cramer's rule (according to Wikipedia "Cramer's rule", 21-Feb-2019, https://en.wikipedia.org/wiki/Cramer%27s_rule: "[Cramer's rule] ... expresses the solution [of a system of linear equations] in terms of the determinants of the (square) coefficient matrix and of matrices obtained from it by replacing one column by the column vector of right-hand sides of the equations."): The ith component of the solution vector of a system of linear equations equals the determinant of the matrix of the system of linear equations with the ith column replaced by the righthand side vector of the system of linear equations divided by the determinant of the matrix of the system of linear equations. (Contributed by AV, 19-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐸 = (((1r‘𝐴)(𝑁 matRepV 𝑅)𝑍)‘𝐼) & ⊢ 𝐻 = ((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝐼) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ / = (/r‘𝑅) ⇒ ⊢ (((𝑅 ∈ CRing ∧ 𝐼 ∈ 𝑁) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ ((𝑋 · 𝑍) = 𝑌 ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅))) → (𝑍‘𝐼) = ((𝐷‘𝐻) / (𝐷‘𝑋))) | ||
Theorem | cramerlem1 21934* | Lemma 1 for cramer 21938. (Contributed by AV, 21-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ / = (/r‘𝑅) ⇒ ⊢ ((𝑅 ∈ CRing ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ ((𝐷‘𝑋) ∈ (Unit‘𝑅) ∧ 𝑍 ∈ 𝑉 ∧ (𝑋 · 𝑍) = 𝑌)) → 𝑍 = (𝑖 ∈ 𝑁 ↦ ((𝐷‘((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝑖)) / (𝐷‘𝑋)))) | ||
Theorem | cramerlem2 21935* | Lemma 2 for cramer 21938. (Contributed by AV, 21-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ / = (/r‘𝑅) ⇒ ⊢ ((𝑅 ∈ CRing ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → ∀𝑧 ∈ 𝑉 ((𝑋 · 𝑧) = 𝑌 → 𝑧 = (𝑖 ∈ 𝑁 ↦ ((𝐷‘((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝑖)) / (𝐷‘𝑋))))) | ||
Theorem | cramerlem3 21936* | Lemma 3 for cramer 21938. (Contributed by AV, 21-Feb-2019.) (Revised by AV, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ / = (/r‘𝑅) ⇒ ⊢ (((𝑁 ≠ ∅ ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → (𝑍 = (𝑖 ∈ 𝑁 ↦ ((𝐷‘((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝑖)) / (𝐷‘𝑋))) → (𝑋 · 𝑍) = 𝑌)) | ||
Theorem | cramer0 21937* | Special case of Cramer's rule for 0-dimensional matrices/vectors. (Contributed by AV, 28-Feb-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ / = (/r‘𝑅) ⇒ ⊢ (((𝑁 = ∅ ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → (𝑍 = (𝑖 ∈ 𝑁 ↦ ((𝐷‘((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝑖)) / (𝐷‘𝑋))) → (𝑋 · 𝑍) = 𝑌)) | ||
Theorem | cramer 21938* | Cramer's rule. According to Wikipedia "Cramer's rule", 21-Feb-2019, https://en.wikipedia.org/wiki/Cramer%27s_rule: "[Cramer's rule] ... expresses the [unique] solution [of a system of linear equations] in terms of the determinants of the (square) coefficient matrix and of matrices obtained from it by replacing one column by the column vector of right-hand sides of the equations." If it is assumed that a (unique) solution exists, it can be obtained by Cramer's rule (see also cramerimp 21933). On the other hand, if a vector can be constructed by Cramer's rule, it is a solution of the system of linear equations, so at least one solution exists. The uniqueness is ensured by considering only systems of linear equations whose matrix has a unit (of the underlying ring) as determinant, see matunit 21925 or slesolinv 21927. For fields as underlying rings, this requirement is equivalent to the determinant not being 0. Theorem 4.4 in [Lang] p. 513. This is Metamath 100 proof #97. (Contributed by Alexander van der Vekens, 21-Feb-2019.) (Revised by Alexander van der Vekens, 1-Mar-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑉 = ((Base‘𝑅) ↑m 𝑁) & ⊢ 𝐷 = (𝑁 maDet 𝑅) & ⊢ · = (𝑅 maVecMul 〈𝑁, 𝑁〉) & ⊢ / = (/r‘𝑅) ⇒ ⊢ (((𝑅 ∈ CRing ∧ 𝑁 ≠ ∅) ∧ (𝑋 ∈ 𝐵 ∧ 𝑌 ∈ 𝑉) ∧ (𝐷‘𝑋) ∈ (Unit‘𝑅)) → (𝑍 = (𝑖 ∈ 𝑁 ↦ ((𝐷‘((𝑋(𝑁 matRepV 𝑅)𝑌)‘𝑖)) / (𝐷‘𝑋))) ↔ (𝑋 · 𝑍) = 𝑌)) | ||
A polynomial matrix or matrix of polynomials is a matrix whose elements are univariate (or multivariate) polynomials. See Wikipedia "Polynomial matrix" https://en.wikipedia.org/wiki/Polynomial_matrix (18-Nov-2019). In this section, only square matrices whose elements are univariate polynomials are considered. Usually, the ring of such matrices, the ring of n x n matrices over the polynomial ring over a ring 𝑅, is denoted by M(n, R[t]). The elements of this ring are called "polynomial matrices (over the ring 𝑅)" in the following. In Metamath notation, this ring is defined by (𝑁 Mat (Poly1‘𝑅)), usually represented by the class variable 𝐶 (or 𝑌, if 𝐶 is already occupied): 𝐶 = (𝑁 Mat 𝑃) with 𝑃 = (Poly1‘𝑅). | ||
Theorem | pmatring 21939 | The set of polynomial matrices over a ring is a ring. (Contributed by AV, 6-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝐶 ∈ Ring) | ||
Theorem | pmatlmod 21940 | The set of polynomial matrices over a ring is a left module. (Contributed by AV, 6-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝐶 ∈ LMod) | ||
Theorem | pmatassa 21941 | The set of polynomial matrices over a commutative ring is an associative algebra. (Contributed by AV, 16-Jun-2024.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → 𝐶 ∈ AssAlg) | ||
Theorem | pmat0op 21942* | The zero polynomial matrix over a ring represented as operation. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 0 = (0g‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (0g‘𝐶) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ 0 )) | ||
Theorem | pmat1op 21943* | The identity polynomial matrix over a ring represented as operation. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 0 = (0g‘𝑃) & ⊢ 1 = (1r‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (1r‘𝐶) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝑗, 1 , 0 ))) | ||
Theorem | pmat1ovd 21944 | Entries of the identity polynomial matrix over a ring, deduction form. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 0 = (0g‘𝑃) & ⊢ 1 = (1r‘𝑃) & ⊢ (𝜑 → 𝑁 ∈ Fin) & ⊢ (𝜑 → 𝑅 ∈ Ring) & ⊢ (𝜑 → 𝐼 ∈ 𝑁) & ⊢ (𝜑 → 𝐽 ∈ 𝑁) & ⊢ 𝑈 = (1r‘𝐶) ⇒ ⊢ (𝜑 → (𝐼𝑈𝐽) = if(𝐼 = 𝐽, 1 , 0 )) | ||
Theorem | pmat0opsc 21945* | The zero polynomial matrix over a ring represented as operation with "lifted scalars" (i.e. elements of the ring underlying the polynomial ring embedded into the polynomial ring by the scalar injection/algebraic scalars function algSc). (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐴 = (algSc‘𝑃) & ⊢ 0 = (0g‘𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (0g‘𝐶) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ (𝐴‘ 0 ))) | ||
Theorem | pmat1opsc 21946* | The identity polynomial matrix over a ring represented as operation with "lifted scalars". (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐴 = (algSc‘𝑃) & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (1r‘𝐶) = (𝑖 ∈ 𝑁, 𝑗 ∈ 𝑁 ↦ if(𝑖 = 𝑗, (𝐴‘ 1 ), (𝐴‘ 0 )))) | ||
Theorem | pmat1ovscd 21947 | Entries of the identity polynomial matrix over a ring represented with "lifted scalars", deduction form. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐴 = (algSc‘𝑃) & ⊢ 0 = (0g‘𝑅) & ⊢ 1 = (1r‘𝑅) & ⊢ (𝜑 → 𝑁 ∈ Fin) & ⊢ (𝜑 → 𝑅 ∈ Ring) & ⊢ (𝜑 → 𝐼 ∈ 𝑁) & ⊢ (𝜑 → 𝐽 ∈ 𝑁) & ⊢ 𝑈 = (1r‘𝐶) ⇒ ⊢ (𝜑 → (𝐼𝑈𝐽) = if(𝐼 = 𝐽, (𝐴‘ 1 ), (𝐴‘ 0 ))) | ||
Theorem | pmatcoe1fsupp 21948* | For a polynomial matrix there is an upper bound for the coefficients of all the polynomials being not 0. (Contributed by AV, 3-Oct-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) & ⊢ 0 = (0g‘𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐵) → ∃𝑠 ∈ ℕ0 ∀𝑥 ∈ ℕ0 (𝑠 < 𝑥 → ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ((coe1‘(𝑖𝑀𝑗))‘𝑥) = 0 )) | ||
Theorem | 1pmatscmul 21949 | The scalar product of the identity polynomial matrix with a polynomial is a polynomial matrix. (Contributed by AV, 2-Nov-2019.) (Revised by AV, 4-Dec-2019.) |
⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) & ⊢ 𝐸 = (Base‘𝑃) & ⊢ ∗ = ( ·𝑠 ‘𝐶) & ⊢ 1 = (1r‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑄 ∈ 𝐸) → (𝑄 ∗ 1 ) ∈ 𝐵) | ||
A constant polynomial matrix is a polynomial matrix whose elements are constant polynomials, i.e., polynomials with no indeterminates. Constant polynomials are obtained by "lifting" a "scalar" (i.e. an element of the underlying ring) into the polynomial ring/algebra by a "scalar injection", i.e., applying the "algebra scalar injection function" algSc (see df-ascl 21160) to a scalar 𝐴 ∈ 𝑅: ((algSc‘𝑃)‘𝐴). Analogously, constant polynomial matrices (over the ring 𝑅) are obtained by "lifting" matrices over the ring 𝑅 by the function matToPolyMat (see df-mat2pmat 21954), called "matrix transformation" in the following. In this section it is shown that the set 𝑆 = (𝑁 ConstPolyMat 𝑅) of constant polynomial 𝑁 x 𝑁 matrices over the ring 𝑅 is a subring of the ring of polynomial 𝑁 x 𝑁 matrices over the ring 𝑅 (cpmatsrgpmat 21968) and that 𝑇 = (𝑁 matToPolyMat 𝑅) is a ring isomorphism from the ring of matrices over a ring 𝑅 onto the ring of constant polynomial matrices over the ring 𝑅 (see m2cpmrngiso 22005). Thus, the ring of matrices over a commutative ring is isomorphic to the ring of scalar matrices over the same ring, see matcpmric 22006. Finally, 𝐼 = (𝑁 cPolyMatToMat 𝑅), the transformation of a constant polynomial matrix into a matrix, is the inverse function of the matrix transformation 𝑇 = (𝑁 matToPolyMat 𝑅), see m2cpminv 22007. | ||
Syntax | ccpmat 21950 | Extend class notation with the set of all constant polynomial matrices. |
class ConstPolyMat | ||
Syntax | cmat2pmat 21951 | Extend class notation with the transformation of a matrix into a matrix of polynomials. |
class matToPolyMat | ||
Syntax | ccpmat2mat 21952 | Extend class notation with the transformation of a constant polynomial matrix into a matrix. |
class cPolyMatToMat | ||
Definition | df-cpmat 21953* | The set of all constant polynomial matrices, which are all matrices whose entries are constant polynomials (or "scalar polynomials", see ply1sclf 21554). (Contributed by AV, 15-Nov-2019.) |
⊢ ConstPolyMat = (𝑛 ∈ Fin, 𝑟 ∈ V ↦ {𝑚 ∈ (Base‘(𝑛 Mat (Poly1‘𝑟))) ∣ ∀𝑖 ∈ 𝑛 ∀𝑗 ∈ 𝑛 ∀𝑘 ∈ ℕ ((coe1‘(𝑖𝑚𝑗))‘𝑘) = (0g‘𝑟)}) | ||
Definition | df-mat2pmat 21954* | Transformation of a matrix (over a ring) into a matrix over the corresponding polynomial ring. (Contributed by AV, 31-Jul-2019.) |
⊢ matToPolyMat = (𝑛 ∈ Fin, 𝑟 ∈ V ↦ (𝑚 ∈ (Base‘(𝑛 Mat 𝑟)) ↦ (𝑥 ∈ 𝑛, 𝑦 ∈ 𝑛 ↦ ((algSc‘(Poly1‘𝑟))‘(𝑥𝑚𝑦))))) | ||
Definition | df-cpmat2mat 21955* | Transformation of a constant polynomial matrix (over a ring) into a matrix over the corresponding ring. Since this function is the inverse function of matToPolyMat, see m2cpminv 22007, it is also called "inverse matrix transformation" in the following. (Contributed by AV, 14-Dec-2019.) |
⊢ cPolyMatToMat = (𝑛 ∈ Fin, 𝑟 ∈ V ↦ (𝑚 ∈ (𝑛 ConstPolyMat 𝑟) ↦ (𝑥 ∈ 𝑛, 𝑦 ∈ 𝑛 ↦ ((coe1‘(𝑥𝑚𝑦))‘0)))) | ||
Theorem | cpmat 21956* | Value of the constructor of the set of all constant polynomial matrices, i.e. the set of all 𝑁 x 𝑁 matrices of polynomials over a ring 𝑅. (Contributed by AV, 15-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) → 𝑆 = {𝑚 ∈ 𝐵 ∣ ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∀𝑘 ∈ ℕ ((coe1‘(𝑖𝑚𝑗))‘𝑘) = (0g‘𝑅)}) | ||
Theorem | cpmatpmat 21957 | A constant polynomial matrix is a polynomial matrix. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝑆) → 𝑀 ∈ 𝐵) | ||
Theorem | cpmatel 21958* | Property of a constant polynomial matrix. (Contributed by AV, 15-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝐵) → (𝑀 ∈ 𝑆 ↔ ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∀𝑘 ∈ ℕ ((coe1‘(𝑖𝑀𝑗))‘𝑘) = (0g‘𝑅))) | ||
Theorem | cpmatelimp 21959* | Implication of a set being a constant polynomial matrix. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (𝑀 ∈ 𝑆 → (𝑀 ∈ 𝐵 ∧ ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∀𝑘 ∈ ℕ ((coe1‘(𝑖𝑀𝑗))‘𝑘) = (0g‘𝑅)))) | ||
Theorem | cpmatel2 21960* | Another property of a constant polynomial matrix. (Contributed by AV, 16-Nov-2019.) (Proof shortened by AV, 27-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) & ⊢ 𝐾 = (Base‘𝑅) & ⊢ 𝐴 = (algSc‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐵) → (𝑀 ∈ 𝑆 ↔ ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∃𝑘 ∈ 𝐾 (𝑖𝑀𝑗) = (𝐴‘𝑘))) | ||
Theorem | cpmatelimp2 21961* | Another implication of a set being a constant polynomial matrix. (Contributed by AV, 17-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) & ⊢ 𝐾 = (Base‘𝑅) & ⊢ 𝐴 = (algSc‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (𝑀 ∈ 𝑆 → (𝑀 ∈ 𝐵 ∧ ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∃𝑘 ∈ 𝐾 (𝑖𝑀𝑗) = (𝐴‘𝑘)))) | ||
Theorem | 1elcpmat 21962 | The identity of the ring of all polynomial matrices over the ring 𝑅 is a constant polynomial matrix. (Contributed by AV, 16-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (1r‘𝐶) ∈ 𝑆) | ||
Theorem | cpmatacl 21963* | The set of all constant polynomial matrices over a ring 𝑅 is closed under addition. (Contributed by AV, 17-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → ∀𝑥 ∈ 𝑆 ∀𝑦 ∈ 𝑆 (𝑥(+g‘𝐶)𝑦) ∈ 𝑆) | ||
Theorem | cpmatinvcl 21964* | The set of all constant polynomial matrices over a ring 𝑅 is closed under inversion. (Contributed by AV, 17-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → ∀𝑥 ∈ 𝑆 ((invg‘𝐶)‘𝑥) ∈ 𝑆) | ||
Theorem | cpmatmcllem 21965* | Lemma for cpmatmcl 21966. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝑥 ∈ 𝑆 ∧ 𝑦 ∈ 𝑆)) → ∀𝑖 ∈ 𝑁 ∀𝑗 ∈ 𝑁 ∀𝑐 ∈ ℕ ((coe1‘(𝑃 Σg (𝑘 ∈ 𝑁 ↦ ((𝑖𝑥𝑘)(.r‘𝑃)(𝑘𝑦𝑗)))))‘𝑐) = (0g‘𝑅)) | ||
Theorem | cpmatmcl 21966* | The set of all constant polynomial matrices over a ring 𝑅 is closed under multiplication. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → ∀𝑥 ∈ 𝑆 ∀𝑦 ∈ 𝑆 (𝑥(.r‘𝐶)𝑦) ∈ 𝑆) | ||
Theorem | cpmatsubgpmat 21967 | The set of all constant polynomial matrices over a ring 𝑅 is an additive subgroup of the ring of all polynomial matrices over the ring 𝑅. (Contributed by AV, 15-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑆 ∈ (SubGrp‘𝐶)) | ||
Theorem | cpmatsrgpmat 21968 | The set of all constant polynomial matrices over a ring 𝑅 is a subring of the ring of all polynomial matrices over the ring 𝑅. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑆 ∈ (SubRing‘𝐶)) | ||
Theorem | 0elcpmat 21969 | The zero of the ring of all polynomial matrices over the ring 𝑅 is a constant polynomial matrix. (Contributed by AV, 27-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (0g‘𝐶) ∈ 𝑆) | ||
Theorem | mat2pmatfval 21970* | Value of the matrix transformation. (Contributed by AV, 31-Jul-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑆 = (algSc‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) → 𝑇 = (𝑚 ∈ 𝐵 ↦ (𝑥 ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ (𝑆‘(𝑥𝑚𝑦))))) | ||
Theorem | mat2pmatval 21971* | The result of a matrix transformation. (Contributed by AV, 31-Jul-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑆 = (algSc‘𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝐵) → (𝑇‘𝑀) = (𝑥 ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ (𝑆‘(𝑥𝑀𝑦)))) | ||
Theorem | mat2pmatvalel 21972 | A (matrix) element of the result of a matrix transformation. (Contributed by AV, 31-Jul-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑆 = (algSc‘𝑃) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝐵) ∧ (𝑋 ∈ 𝑁 ∧ 𝑌 ∈ 𝑁)) → (𝑋(𝑇‘𝑀)𝑌) = (𝑆‘(𝑋𝑀𝑌))) | ||
Theorem | mat2pmatbas 21973 | The result of a matrix transformation is a polynomial matrix. (Contributed by AV, 1-Aug-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐵) → (𝑇‘𝑀) ∈ (Base‘𝐶)) | ||
Theorem | mat2pmatbas0 21974 | The result of a matrix transformation is a polynomial matrix. (Contributed by AV, 27-Oct-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐵) → (𝑇‘𝑀) ∈ 𝐻) | ||
Theorem | mat2pmatf 21975 | The matrix transformation is a function from the matrices to the polynomial matrices. (Contributed by AV, 27-Oct-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇:𝐵⟶𝐻) | ||
Theorem | mat2pmatf1 21976 | The matrix transformation is a 1-1 function from the matrices to the polynomial matrices. (Contributed by AV, 28-Oct-2019.) (Proof shortened by AV, 27-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇:𝐵–1-1→𝐻) | ||
Theorem | mat2pmatghm 21977 | The transformation of matrices into polynomial matrices is an additive group homomorphism. (Contributed by AV, 28-Oct-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇 ∈ (𝐴 GrpHom 𝐶)) | ||
Theorem | mat2pmatmul 21978* | The transformation of matrices into polynomial matrices preserves the multiplication. (Contributed by AV, 29-Oct-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → ∀𝑥 ∈ 𝐵 ∀𝑦 ∈ 𝐵 (𝑇‘(𝑥(.r‘𝐴)𝑦)) = ((𝑇‘𝑥)(.r‘𝐶)(𝑇‘𝑦))) | ||
Theorem | mat2pmat1 21979 | The transformation of the identity matrix results in the identity polynomial matrix. (Contributed by AV, 29-Oct-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → (𝑇‘(1r‘𝐴)) = (1r‘𝐶)) | ||
Theorem | mat2pmatmhm 21980 | The transformation of matrices into polynomial matrices is a homomorphism of multiplicative monoids. (Contributed by AV, 29-Oct-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → 𝑇 ∈ ((mulGrp‘𝐴) MndHom (mulGrp‘𝐶))) | ||
Theorem | mat2pmatrhm 21981 | The transformation of matrices into polynomial matrices is a ring homomorphism. (Contributed by AV, 29-Oct-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → 𝑇 ∈ (𝐴 RingHom 𝐶)) | ||
Theorem | mat2pmatlin 21982 | The transformation of matrices into polynomial matrices is "linear", analogous to lmhmlin 20395. Since 𝐴 and 𝐶 have different scalar rings, 𝑇 cannot be a left module homomorphism as defined in df-lmhm 20382, see lmhmsca 20390. (Contributed by AV, 13-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐻 = (Base‘𝐶) & ⊢ 𝐾 = (Base‘𝑅) & ⊢ 𝑆 = (algSc‘𝑃) & ⊢ · = ( ·𝑠 ‘𝐴) & ⊢ × = ( ·𝑠 ‘𝐶) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) ∧ (𝑋 ∈ 𝐾 ∧ 𝑌 ∈ 𝐵)) → (𝑇‘(𝑋 · 𝑌)) = ((𝑆‘𝑋) × (𝑇‘𝑌))) | ||
Theorem | 0mat2pmat 21983 | The transformed zero matrix is the zero polynomial matrix. (Contributed by AV, 5-Aug-2019.) (Proof shortened by AV, 19-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 0 = (0g‘(𝑁 Mat 𝑅)) & ⊢ 𝑍 = (0g‘(𝑁 Mat 𝑃)) ⇒ ⊢ ((𝑅 ∈ Ring ∧ 𝑁 ∈ Fin) → (𝑇‘ 0 ) = 𝑍) | ||
Theorem | idmatidpmat 21984 | The transformed identity matrix is the identity polynomial matrix. (Contributed by AV, 1-Aug-2019.) (Proof shortened by AV, 19-Nov-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 1 = (1r‘(𝑁 Mat 𝑅)) & ⊢ 𝐼 = (1r‘(𝑁 Mat 𝑃)) ⇒ ⊢ ((𝑅 ∈ Ring ∧ 𝑁 ∈ Fin) → (𝑇‘ 1 ) = 𝐼) | ||
Theorem | d0mat2pmat 21985 | The transformed empty set as matrix of dimenson 0 is the empty set (i.e., the polynomial matrix of dimension 0). (Contributed by AV, 4-Aug-2019.) |
⊢ (𝑅 ∈ 𝑉 → ((∅ matToPolyMat 𝑅)‘∅) = ∅) | ||
Theorem | d1mat2pmat 21986 | The transformation of a matrix of dimenson 1. (Contributed by AV, 4-Aug-2019.) |
⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐵 = (Base‘(𝑁 Mat 𝑅)) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑆 = (algSc‘𝑃) ⇒ ⊢ ((𝑅 ∈ 𝑉 ∧ (𝑁 = {𝐴} ∧ 𝐴 ∈ 𝑉) ∧ 𝑀 ∈ 𝐵) → (𝑇‘𝑀) = {〈〈𝐴, 𝐴〉, (𝑆‘(𝐴𝑀𝐴))〉}) | ||
Theorem | mat2pmatscmxcl 21987 | A transformed matrix multiplied with a power of the variable of a polynomial is a polynomial matrix. (Contributed by AV, 6-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐾 = (Base‘𝐴) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝐵 = (Base‘𝐶) & ⊢ ∗ = ( ·𝑠 ‘𝐶) & ⊢ ↑ = (.g‘(mulGrp‘𝑃)) & ⊢ 𝑋 = (var1‘𝑅) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) ∧ (𝑀 ∈ 𝐾 ∧ 𝐿 ∈ ℕ0)) → ((𝐿 ↑ 𝑋) ∗ (𝑇‘𝑀)) ∈ 𝐵) | ||
Theorem | m2cpm 21988 | The result of a matrix transformation is a constant polynomial matrix. (Contributed by AV, 18-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐵) → (𝑇‘𝑀) ∈ 𝑆) | ||
Theorem | m2cpmf 21989 | The matrix transformation is a function from the matrices to the constant polynomial matrices. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇:𝐵⟶𝑆) | ||
Theorem | m2cpmf1 21990 | The matrix transformation is a 1-1 function from the matrices to the constant polynomial matrices. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇:𝐵–1-1→𝑆) | ||
Theorem | m2cpmghm 21991 | The transformation of matrices into constant polynomial matrices is an additive group homomorphism. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝑈 = (𝐶 ↾s 𝑆) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝑇 ∈ (𝐴 GrpHom 𝑈)) | ||
Theorem | m2cpmmhm 21992 | The transformation of matrices into constant polynomial matrices is a homomorphism of multiplicative monoids. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝑈 = (𝐶 ↾s 𝑆) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → 𝑇 ∈ ((mulGrp‘𝐴) MndHom (mulGrp‘𝑈))) | ||
Theorem | m2cpmrhm 21993 | The transformation of matrices into constant polynomial matrices is a ring homomorphism. (Contributed by AV, 18-Nov-2019.) |
⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝐶 = (𝑁 Mat 𝑃) & ⊢ 𝑈 = (𝐶 ↾s 𝑆) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing) → 𝑇 ∈ (𝐴 RingHom 𝑈)) | ||
Theorem | m2pmfzmap 21994 | The transformed values of a (finite) mapping of integers to matrices. (Contributed by AV, 4-Nov-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑌 = (𝑁 Mat 𝑃) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑆 ∈ ℕ0) ∧ (𝑏 ∈ (𝐵 ↑m (0...𝑆)) ∧ 𝐼 ∈ (0...𝑆))) → (𝑇‘(𝑏‘𝐼)) ∈ (Base‘𝑌)) | ||
Theorem | m2pmfzgsumcl 21995* | Closure of the sum of scaled transformed matrices. (Contributed by AV, 4-Nov-2019.) (Proof shortened by AV, 28-Nov-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐵 = (Base‘𝐴) & ⊢ 𝑃 = (Poly1‘𝑅) & ⊢ 𝑌 = (𝑁 Mat 𝑃) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) & ⊢ 𝑋 = (var1‘𝑅) & ⊢ ↑ = (.g‘(mulGrp‘𝑃)) & ⊢ · = ( ·𝑠 ‘𝑌) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ CRing ∧ 𝑀 ∈ 𝐵) ∧ (𝑠 ∈ ℕ0 ∧ 𝑏 ∈ (𝐵 ↑m (0...𝑠)))) → (𝑌 Σg (𝑖 ∈ (0...𝑠) ↦ ((𝑖 ↑ 𝑋) · (𝑇‘(𝑏‘𝑖))))) ∈ (Base‘𝑌)) | ||
Theorem | cpm2mfval 21996* | Value of the inverse matrix transformation. (Contributed by AV, 14-Dec-2019.) |
⊢ 𝐼 = (𝑁 cPolyMatToMat 𝑅) & ⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉) → 𝐼 = (𝑚 ∈ 𝑆 ↦ (𝑥 ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ ((coe1‘(𝑥𝑚𝑦))‘0)))) | ||
Theorem | cpm2mval 21997* | The result of an inverse matrix transformation. (Contributed by AV, 12-Nov-2019.) (Revised by AV, 14-Dec-2019.) |
⊢ 𝐼 = (𝑁 cPolyMatToMat 𝑅) & ⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝑆) → (𝐼‘𝑀) = (𝑥 ∈ 𝑁, 𝑦 ∈ 𝑁 ↦ ((coe1‘(𝑥𝑀𝑦))‘0))) | ||
Theorem | cpm2mvalel 21998 | A (matrix) element of the result of an inverse matrix transformation. (Contributed by AV, 14-Dec-2019.) |
⊢ 𝐼 = (𝑁 cPolyMatToMat 𝑅) & ⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) ⇒ ⊢ (((𝑁 ∈ Fin ∧ 𝑅 ∈ 𝑉 ∧ 𝑀 ∈ 𝑆) ∧ (𝑋 ∈ 𝑁 ∧ 𝑌 ∈ 𝑁)) → (𝑋(𝐼‘𝑀)𝑌) = ((coe1‘(𝑋𝑀𝑌))‘0)) | ||
Theorem | cpm2mf 21999 | The inverse matrix transformation is a function from the constant polynomial matrices to the matrices over the base ring of the polynomials. (Contributed by AV, 24-Nov-2019.) (Revised by AV, 15-Dec-2019.) |
⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐾 = (Base‘𝐴) & ⊢ 𝑆 = (𝑁 ConstPolyMat 𝑅) & ⊢ 𝐼 = (𝑁 cPolyMatToMat 𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring) → 𝐼:𝑆⟶𝐾) | ||
Theorem | m2cpminvid 22000 | The inverse transformation applied to the transformation of a matrix over a ring R results in the matrix itself. (Contributed by AV, 12-Nov-2019.) (Revised by AV, 13-Dec-2019.) |
⊢ 𝐼 = (𝑁 cPolyMatToMat 𝑅) & ⊢ 𝐴 = (𝑁 Mat 𝑅) & ⊢ 𝐾 = (Base‘𝐴) & ⊢ 𝑇 = (𝑁 matToPolyMat 𝑅) ⇒ ⊢ ((𝑁 ∈ Fin ∧ 𝑅 ∈ Ring ∧ 𝑀 ∈ 𝐾) → (𝐼‘(𝑇‘𝑀)) = 𝑀) |
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