GradedTensorProductdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, typeWording
graded tensor product of x8 and x9 (from the name)
English
Let $R$ be a set. Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then a graded tensor product of $x_{8}$ and $x_{9}$ is an element of the function that maps $R$, $x_{8}$ and $x_{9}$ to the set of tensor products of $A$ and $B$.
GradedTensorProduct.commdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantEnglish
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then $\operatorname{comm}$ applied to $x_{8}$ and $x_{9}$ is an algebra isomorphism of the set of graded tensor products of $x_{8}$ and $x_{9}$ and the set of graded tensor products of $x_{9}$ and $x_{8}$.
GradedTensorProduct.includeLeftdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantEnglish
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then $\operatorname{includeLeft}$ applied to $x_{8}$ and $x_{9}$ is an algebra homomorphism of $A$ and the set of graded tensor products of $x_{8}$ and $x_{9}$.
GradedTensorProduct.includeLeftRingHomdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantWording
the ring morphism of x8 and x9 (from the docstring)
English
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then the ring morphism of $x_{8}$ and $x_{9}$ is a ring homomorphism of $A$ and the set of graded tensor products of $x_{8}$ and $x_{9}$.
GradedTensorProduct.includeRightdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantEnglish
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then $\operatorname{includeRight}$ applied to $x_{8}$ and $x_{9}$ is an algebra homomorphism of $B$ and the set of graded tensor products of $x_{8}$ and $x_{9}$.
GradedTensorProduct.liftdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantWording
the lift of f and g (from the name)
English
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Let $f$ be an algebra homomorphism of $A$ and $C$. Let $g$ be an algebra homomorphism of $B$ and $C$ such that for all elements $i$ and $j$ of $x$, for all elements $a$ of $\SubtypeSet {x_{16}}{(\MembershipmemMACRoT {x_{8} (i)}{x_{16}})}$, for all elements $b$ of $\SubtypeSet {x_{15}}{(\MembershipmemMACRoT {x_{9} (j)}{x_{15}})}$, $\EqtMACRoH {f (a)\times g (b)}{\HSMulhSMulMACRoAL {(\operatorname{neg} (1)^ {j \times i})}{(g (b)\times f (a))}}$. Then the lift of $f$ and $g$ is an algebra homomorphism of the set of graded tensor products of $x_{8}$ and $x_{9}$ and $C$.
GradedTensorProduct.liftEquivdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantWording
the lift equivalence of x8 and x9 (from the name)
English
Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then the lift equivalence of $x_{8}$ and $x_{9}$ is an equivalence from $\SubtypeSet {\mathrm{fg}}{\mathrm{forall} (x , \lambda i . \mathrm{forall} (x , \lambda j . \mathrm{forall} (\SubtypeSet {x_{16}}{(\MembershipmemMACRoT {x_{8} (i)}{x_{16}})}, \lambda a . \mathrm{forall} (\SubtypeSet {x_{15}}{(\MembershipmemMACRoT {x_{9} (j)}{x_{15}})}, \lambda b . \EqtMACRoH {(\operatorname{fst} (\mathrm{fg} , a)\times \operatorname{snd} (\mathrm{fg} , b))}{(\HSMulhSMulMACRoAL {(\operatorname{neg} (1)^ {j \times i})}{(\operatorname{snd} (\mathrm{fg} , b)\times \operatorname{fst} (\mathrm{fg} , a))})}))))}$ to the set of algebra homomorphisms of the set of graded tensor products of $x_{8}$ and $x_{9}$ and $C$.
GradedTensorProduct.ofdefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantEnglish
Let $R$ be a set. Let $x_{8}$ be a function from elements of $x$ to submodules of $R$ and $A$. Let $x_{9}$ be a function from elements of $x$ to submodules of $R$ and $B$. Then $\operatorname{of}$ applied to $R$, $x_{8}$ and $x_{9}$ is a linear equivalence of the set of tensor products of $A$ and $B$ and the set of graded tensor products of $x_{8}$ and $x_{9}$ defined as the identity map of $R$ and the set of tensor products of $A$ and $B$.
GradedTensorProduct.tmuldefMathlib.LinearAlgebra.TensorProduct.Graded.Internal, function or constantEnglish
Let $R$ be a set. Let $a$ be an element of $A$. Let $b$ be an element of $B$. Then $\operatorname{tmul}$ applied to $R$, $a$ and $b$ is a graded tensor product of $x_{8}$ and $x_{9}$ defined as $\operatorname{of}$ applied to $R$, $x_{8}$, $x_{9}$ and $\operatorname{tmul}$ applied to $R$, $a$ and $b$.
LinearMap.liftBaseChangedefMathlib.LinearAlgebra.TensorProduct.Lift, function or constantWording
the lift base change of A and l (from the name)
English
Let $A$ be a set. Let $l$ be a linear map of $M$ and $N$. Then the lift base change of $A$ and $l$ is a linear map of the set of tensor products of $A$ and $M$ and $N$ defined as $\operatorname{liftBaseChangeEquiv}$ applied to $A$ and $l$.
LinearMap.liftBaseChangeEquivdefMathlib.LinearAlgebra.TensorProduct.Lift, function or constantWording
the lift base change equivalence of A (from the name)
English
Let $A$ be a set. Then the lift base change equivalence of $A$ is a linear equivalence of the set of linear maps of $M$ and $N$ and the set of linear maps of the set of tensor products of $A$ and $M$ and $N$ defined as the composition of the inverse of $\operatorname{ringLmapEquivSelf}$ applied to $A$, $A$ and the set of linear maps of $M$ and $N$ and the equivalence of $M$ and $N$.
LinearEquiv.lTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor of M and f (from the name)
English
Let $M$ be a set. Let $f$ be a linear equivalence of $N$ and $P$. Then the tensor of $M$ and $f$ is a linear equivalence of the set of tensor products of $M$ and $N$ and the set of tensor products of $M$ and $P$ defined as the congruence of the identity map of $R$ and $M$ and $f$.
LinearEquiv.rTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor of M and f (from the name)
English
Let $M$ be a set. Let $f$ be a linear equivalence of $N$ and $P$. Then the tensor of $M$ and $f$ is a linear equivalence of the set of tensor products of $N$ and $M$ and the set of tensor products of $P$ and $M$ defined as the congruence of $f$ and the identity map of $R$ and $M$.
LinearMap.lTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor of M and f (from the name)
English
Let $M$ be a set. Let $f$ be a linear map of $N$ and $P$. Then the tensor of $M$ and $f$ is a linear map of the set of tensor products of $M$ and $N$ and the set of tensor products of $M$ and $P$ defined as the tensor product of the identity and $f$.
LinearMap.lTensorHomdefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor homomorphism of M (from the name)
English
Let $M$ be a set. Then the tensor homomorphism of $M$ is a linear map of the set of linear maps of $N$ and $P$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $M$ and $P$.
LinearMap.rTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor of M and f (from the name)
English
Let $M$ be a set. Let $f$ be a linear map of $N$ and $P$. Then the tensor of $M$ and $f$ is a linear map of the set of tensor products of $N$ and $M$ and the set of tensor products of $P$ and $M$ defined as the tensor product of $f$ and the identity.
LinearMap.rTensorHomdefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor homomorphism of M (from the name)
English
Let $M$ be a set. Then the tensor homomorphism of $M$ is a linear map of the set of linear maps of $N$ and $P$ and the set of linear maps of the set of tensor products of $N$ and $M$ and the set of tensor products of $P$ and $M$.
TensorProduct.congrdefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the congruence of f and g (from the name)
English
Let $f$ be a linear equivalence of $M$ and $x_{4}$. Let $g$ be a linear equivalence of $N$ and $x_{5}$. Then the congruence of $f$ and $g$ is a linear equivalence of the set of tensor products of $M$ and $N$ and the set of tensor products of $x_{4}$ and $x_{5}$.
TensorProduct.homTensorHomMapdefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the homomorphism tensor homomorphism map of x3 (from the name)
English
Let $x_{3}$ be a ring homomorphism of $R$ and $x$. Let $M$, $N$, $x_{4}$ and $x_{5}$ be sets. Then the homomorphism tensor homomorphism map of $x_{3}$ is a linear map of the set of tensor products of the set of linear maps of $M$ and $x_{4}$ and the set of linear maps of $N$ and $x_{5}$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $x_{4}$ and $x_{5}$ defined as the lift of the map bilinear of $x_{3}$.
TensorProduct.lTensorHomToHomLTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor homomorphism to homomorphism tensor of x3 (from the name)
English
Let $x_{3}$ be a ring homomorphism of $R$ and $x$. Let $P$, $x_{4}$ and $x_{5}$ be sets. Then the tensor homomorphism to homomorphism tensor of $x_{3}$ is a linear map of the set of tensor products of $x_{4}$ and the set of linear maps of $P$ and $x_{5}$ and the set of linear maps of $P$ and the set of tensor products of $x_{4}$ and $x_{5}$ defined as the lift of the composition of $\operatorname{llcomp}$ applied to $x$, $P$, $x_{5}$ and the set of tensor products of $x_{4}$ and $x_{5}$ and $\operatorname{mk}$ applied to $x$, $x_{4}$ and $x_{5}$.
TensorProduct.mapdefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor product of f and g (from the docstring)
English
Let $f$ be a linear map of $M$ and $x_{4}$. Let $g$ be a linear map of $N$ and $x_{5}$. Then the tensor product of $f$ and $g$ is a linear map of the set of tensor products of $M$ and $N$ and the set of tensor products of $x_{4}$ and $x_{5}$ defined as the lift of the composition of the complement of $\operatorname{mk}$ applied to $x$, $x_{4}$ and $x_{5}$ and $g$ and $f$.
TensorProduct.mapBilineardefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the map bilinear of x3 (from the name)
English
Let $x_{3}$ be a ring homomorphism of $R$ and $x$. Let $M$, $N$, $x_{4}$ and $x_{5}$ be sets. Then the map bilinear of $x_{3}$ is a linear map of the set of linear maps of $M$ and $x_{4}$ and the set of linear maps of the set of linear maps of $N$ and $x_{5}$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $x_{4}$ and $x_{5}$ defined as $\mathrm{LinearMap\_\_mk\_u2082\_}$ applied to $x$, $\operatorname{map}$, $\mathrm{TensorProduct\_\_map\_add\_left}$, $\mathrm{TensorProduct\_\_map\_smul\_left}$, $\mathrm{TensorProduct\_\_map\_add\_right}$ and $\mathrm{TensorProduct\_\_map\_smul\_right}$.
TensorProduct.mapIncldefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the map inclusion of p and q (from the name)
English
Let $p$ be a submodule of $R$ and $P$. Let $q$ be a submodule of $R$ and $Q$. Then the map inclusion of $p$ and $q$ is a linear map of the set of tensor products of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {p}{x_{5}})}$ and $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {q}{x_{6}})}$ and the set of tensor products of $P$ and $Q$ defined as the tensor product of the subtype of $p$ and the subtype of $q$.
TensorProduct.map₂defMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the map of f and g (from the name)
English
Let $f$ be a linear map of $M$ and the set of linear maps of $x_{7}$ and $x_{8}$. Let $g$ be a linear map of $N$ and the set of linear maps of $x_{9}$ and $x_{10}$. Then the map of $f$ and $g$ is a linear map of the set of tensor products of $M$ and $N$ and the set of linear maps of the set of tensor products of $x_{7}$ and $x_{9}$ and the set of tensor products of $x_{8}$ and $x_{10}$ defined as the composition of the homomorphism tensor homomorphism map of $x_{5}$ and the tensor product of $f$ and $g$.
TensorProduct.rTensorHomToHomRTensordefMathlib.LinearAlgebra.TensorProduct.Map, function or constantWording
the tensor homomorphism to homomorphism tensor of x3 (from the name)
English
Let $x_{3}$ be a ring homomorphism of $R$ and $x$. Let $P$, $x_{4}$ and $x_{5}$ be sets. Then the tensor homomorphism to homomorphism tensor of $x_{3}$ is a linear map of the set of tensor products of the set of linear maps of $P$ and $x_{4}$ and $x_{5}$ and the set of linear maps of $P$ and the set of tensor products of $x_{4}$ and $x_{5}$ defined as the lift of the flip of the composition of $\operatorname{llcomp}$ applied to $x$, $P$, $x_{4}$ and the set of tensor products of $x_{4}$ and $x_{5}$ and the flip of $\operatorname{mk}$ applied to $x$, $x_{4}$ and $x_{5}$.
Algebra.TensorProduct.opAlgEquivdefMathlib.LinearAlgebra.TensorProduct.Opposite, function or constantWording
the opposite algebra isomorphism of A and B (from the name)
English
Let $R$, $S$, $A$ and $B$ be sets. Then the opposite algebra isomorphism of $A$ and $B$ is an algebra isomorphism of the set of tensor products of the set of multiplicative opposites of $A$ and the set of multiplicative opposites of $B$ and the set of multiplicative opposites of the set of tensor products of $A$ and $B$.
TensorProduct.piLeftdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the left product of M (from the name)
English
Let $R$ and $N$ be sets. Let $M$ be a function from elements of $x_{3}$ to sets. Then the left product of $M$ is a linear equivalence of the set of tensor products of the set of functions from elements $i$ of $x_{3}$ to elements of $M$ applied to $i$ and $N$ and the set of functions from elements $i_{1}$ of $x_{3}$ to tensor products of $M$ applied to $i_{1}$ and $N$ defined as the composition of the composition of $\operatorname{comm}$ applied to $R$, the set of functions from elements $i$ of $x_{3}$ to elements of $M$ applied to $i$ and $N$ and the right product of $M$ and the right product congruence of the function that maps $x_{8}$ to $\operatorname{comm}$ applied to $R$, $N$ and $M$ applied to $x_{8}$.
TensorProduct.piRightdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the right product of M (from the name)
English
Let $R$, $S$ and $N$ be sets. Let $M$ be a function from elements of $x_{6}$ to sets. Then the right product of $M$ is a linear equivalence of the set of tensor products of $N$ and the set of functions from elements $i$ of $x_{6}$ to elements of $M$ applied to $i$ and the set of functions from elements $i_{1}$ of $x_{6}$ to tensor products of $N$ and $M$ applied to $i_{1}$.
TensorProduct.piRightHomdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the product right homomorphism of M (from the name)
English
Let $R$, $S$ and $N$ be sets. Let $M$ be a function from elements of $x_{6}$ to sets. Then the product right homomorphism of $M$ is a linear map of the set of tensor products of $N$ and the set of functions from elements $i$ of $x_{6}$ to elements of $M$ applied to $i$ and the set of functions from elements $i_{1}$ of $x_{6}$ to tensor products of $N$ and $M$ applied to $i_{1}$ defined as the lift of $\operatorname{piRightHomBil}$ applied to $R$, $S$, $N$ and $M$.
TensorProduct.piRightHomBildefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantEnglish
Let $R$, $S$ and $N$ be sets. Let $M$ be a function from elements of $x_{6}$ to sets. Then $\operatorname{piRightHomBil}$ applied to $R$, $S$, $N$ and $M$ is a linear map of $N$ and the set of linear maps of the set of functions from elements $i$ of $x_{6}$ to elements of $M$ applied to $i$ and the set of functions from elements $i_{1}$ of $x_{6}$ to tensor products of $N$ and $M$ applied to $i_{1}$.
TensorProduct.piRightInvdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the product right inverse of M (from the name)
English
Let $R$, $S$ and $N$ be sets. Let $M$ be a function from elements of $x_{6}$ to sets. Then the product right inverse of $M$ is a linear map of the set of functions from elements $i$ of $x_{6}$ to tensor products of $N$ and $M$ applied to $i$ and the set of tensor products of $N$ and the set of functions from elements $i_{1}$ of $x_{6}$ to elements of $M$ applied to $i_{1}$ defined as $\operatorname{lsum}$ applied to $S$, the function that maps $i_{5}$ to the set of tensor products of $N$ and $M$ applied to $i_{5}$, $S$ and the function that maps $i_{6}$ to the map of the identity and $\operatorname{single}$ applied to $R$, $M$ and $i_{6}$.
TensorProduct.piScalarRightdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the right product scalar of N and x6 (from the name)
English
Let $R$, $S$, $N$ and $x_{6}$ be sets. Then the right product scalar of $N$ and $x_{6}$ is a linear equivalence of the set of tensor products of $N$ and the set of functions from elements of $x_{6}$ to elements of $R$ and the set of functions from elements of $x_{6}$ to elements of $N$.
TensorProduct.piScalarRightHomdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the product scalar right homomorphism of N and x6 (from the name)
English
Let $R$, $S$, $N$ and $x_{6}$ be sets. Then the product scalar right homomorphism of $N$ and $x_{6}$ is a linear map of the set of tensor products of $N$ and the set of functions from elements of $x_{6}$ to elements of $R$ and the set of functions from elements of $x_{6}$ to elements of $N$ defined as the lift of $\operatorname{piScalarRightHomBil}$ applied to $R$, $S$, $N$ and $x_{6}$.
TensorProduct.piScalarRightHomBildefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantEnglish
Let $R$, $S$, $N$ and $x_{6}$ be sets. Then $\operatorname{piScalarRightHomBil}$ applied to $R$, $S$, $N$ and $x_{6}$ is a linear map of $N$ and the set of linear maps of the set of functions from elements of $x_{6}$ to elements of $R$ and the set of functions from elements of $x_{6}$ to elements of $N$.
TensorProduct.piScalarRightInvdefMathlib.LinearAlgebra.TensorProduct.Pi, function or constantWording
the product scalar right inverse of N and x6 (from the name)
English
Let $R$, $S$, $N$ and $x_{6}$ be sets. Then the product scalar right inverse of $N$ and $x_{6}$ is a linear map of the set of functions from elements of $x_{6}$ to elements of $N$ and the set of tensor products of $N$ and the set of functions from elements of $x_{6}$ to elements of $R$.
TensorProduct.prodLeftdefMathlib.LinearAlgebra.TensorProduct.Prod, function or constantWording
the left product of x1 and x2 (from the name)
English
Let $R$, $S$, $x$, $x_{1}$ and $x_{2}$ be sets. Then the left product of $x_{1}$ and $x_{2}$ is a linear equivalence of the set of tensor products of $\mathrm{Prod}$ applied to $x$ and $x_{1}$ and $x_{2}$ and $\mathrm{Prod}$ applied to the set of tensor products of $x$ and $x_{2}$ and the set of tensor products of $x_{1}$ and $x_{2}$.
TensorProduct.prodRightdefMathlib.LinearAlgebra.TensorProduct.Prod, function or constantWording
the right product of x1 and x2 (from the name)
English
Let $R$, $S$, $x$, $x_{1}$ and $x_{2}$ be sets. Then the right product of $x_{1}$ and $x_{2}$ is a linear equivalence of the set of tensor products of $x$ and $\mathrm{Prod}$ applied to $x_{1}$ and $x_{2}$ and $\mathrm{Prod}$ applied to the set of tensor products of $x$ and $x_{1}$ and the set of tensor products of $x$ and $x_{2}$.
Ideal.quotMapEquivTensorQuotdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the quotient map equivalence tensor quotient of S (from the name)
English
Let $S$ be a set. Then the quotient map equivalence tensor quotient of $S$ is a linear equivalence of the set of quotients of $S$ and the map of the algebra map of $R$ and $S$ and $I$ and the set of tensor products of $S$ and the set of quotients of $R$ and $I$.
TensorProduct.AlgebraTensorModule.tensorQuotientEquivdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the tensor quotient equivalence of n (from the name)
English
Let $A$, $B$ and $M$ be sets. Let $n$ be a submodule of $B$ and $N$. Then the tensor quotient equivalence of $n$ is a linear equivalence of the set of tensor products of $M$ and the set of quotients of $N$ and $n$ and the set of quotients of the set of tensor products of $M$ and $N$ and the range of $\operatorname{lTensor}$ applied to $A$, $M$ and $\operatorname{restrictScalars}$ applied to $R$ and the subtype of $n$.
TensorProduct.quotTensorEquivQuotSMuldefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the quotient tensor equivalence quotient product of M and I (from the name)
English
Let $M$ be a set. Let $I$ be an ideal of $R$. Then the quotient tensor equivalence quotient product of $M$ and $I$ is a linear equivalence of the set of tensor products of the set of quotients of $R$ and $I$ and $M$ and the set of quotients of $M$ and $\HSMulhSMulMACRoAL {I}{\operatorname{top}}$.
TensorProduct.quotientTensorEquivdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the quotient tensor equivalence of N and m (from the name)
English
Let $N$ be a set. Let $m$ be a submodule of $R$ and $M$. Then the quotient tensor equivalence of $N$ and $m$ is a linear equivalence of the set of tensor products of the set of quotients of $M$ and $m$ and $N$ and the set of quotients of the set of tensor products of $M$ and $N$ and the range of the tensor product of the subtype of $m$ and the identity.
TensorProduct.quotientTensorQuotientEquivdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the quotient tensor quotient equivalence of m and n (from the name)
English
Let $m$ be a submodule of $R$ and $M$. Let $n$ be a submodule of $R$ and $N$. Then the quotient tensor quotient equivalence of $m$ and $n$ is a linear equivalence of the set of tensor products of the set of quotients of $M$ and $m$ and the set of quotients of $N$ and $n$ and the set of quotients of the set of tensor products of $M$ and $N$ and the maximum of the range of the tensor product of the subtype of $m$ and the identity and the range of the tensor product of the identity and the subtype of $n$.
TensorProduct.tensorQuotEquivQuotSMuldefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the tensor quotient equivalence quotient product of M and I (from the name)
English
Let $M$ be a set. Let $I$ be an ideal of $R$. Then the tensor quotient equivalence quotient product of $M$ and $I$ is a linear equivalence of the set of tensor products of $M$ and the set of quotients of $R$ and $I$ and the set of quotients of $M$ and $\HSMulhSMulMACRoAL {I}{\operatorname{top}}$ defined as the composition of $\operatorname{comm}$ applied to $R$, $M$ and the set of quotients of $R$ and $I$ and the quotient tensor equivalence quotient product of $M$ and $I$.
TensorProduct.tensorQuotMapSMulEquivTensorQuotdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the tensor quotient map multiplicative equivalence tensor quotient of I (from the name)
English
Let $M$ and $S$ be sets. Let $I$ be an ideal of $R$. Then the tensor quotient map multiplicative equivalence tensor quotient of $I$ is a linear equivalence of the set of quotients of the set of tensor products of $S$ and $M$ and $\HSMulhSMulMACRoAL {\operatorname{map} (\operatorname{algebraMap} (R , S), I)}{\operatorname{top}}$ and the set of tensor products of $S$ and the set of quotients of $M$ and $\HSMulhSMulMACRoAL {I}{\operatorname{top}}$ defined as the composition of the composition of the composition of the composition of the composition of the composition of the inverse of the tensor quotient equivalence quotient product of the set of tensor products of $S$ and $M$ and the map of the algebra map of $R$ and $S$ and $I$ and $\operatorname{comm}$ applied to $S$, the set of tensor products of $S$ and $M$ and the set of quotients of $S$ and the map of the algebra map of $R$ and $S$ and $I$ and $\operatorname{cancelBaseChange}$ applied to $R$, $S$, $S$, the set of quotients of $S$ and the map of the algebra map of $R$ and $S$ and $I$ and $M$ and the congruence of the quotient map equivalence tensor quotient of $S$ and the identity map of $R$ and $M$ and the associator of the set of quotients of $R$ and $I$ and $M$ and the base change of $\operatorname{comm}$ applied to $R$, the set of quotients of $R$ and $I$ and $M$ and the base change of the tensor quotient equivalence quotient product of $M$ and $I$.
TensorProduct.tensorQuotientEquivdefMathlib.LinearAlgebra.TensorProduct.Quotient, function or constantWording
the tensor quotient equivalence of M and n (from the name)
English
Let $M$ be a set. Let $n$ be a submodule of $R$ and $N$. Then the tensor quotient equivalence of $M$ and $n$ is a linear equivalence of the set of tensor products of $M$ and the set of quotients of $N$ and $n$ and the set of quotients of the set of tensor products of $M$ and $N$ and the range of the tensor product of the identity and the subtype of $n$.
lTensor.equivdefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the equivalence of hfg and hg (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{Surjective}$ holds for $\operatorname{coe}$ applied to $g$. Then the equivalence of $\mathrm{hfg}$ and $\mathrm{hg}$ is a linear equivalence of the set of quotients of the set of tensor products of $Q$ and $N$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $Q$ and $P$.
lTensor.inversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the inverse map in Q (from the docstring)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{Surjective}$ holds for $\operatorname{coe}$ applied to $g$. Then the inverse map in $Q$ is a linear map of the set of tensor products of $Q$ and $P$ and the set of quotients of the set of tensor products of $Q$ and $N$ and the range of the tensor of $Q$ and $f$.
lTensor.inverse_of_rightInversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the inverse map in Q (from the docstring)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{RightInverse}$ holds for $h$ and $\operatorname{coe}$ applied to $g$. Then the inverse map in $Q$ is a linear map of the set of tensor products of $Q$ and $P$ and the set of quotients of the set of tensor products of $Q$ and $N$ and the range of the tensor of $Q$ and $f$.
lTensor.linearEquiv_of_rightInversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the linear equivalence of hfg and hgh (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{RightInverse}$ holds for $h$ and $\operatorname{coe}$ applied to $g$. Then the linear equivalence of $\mathrm{hfg}$ and $\mathrm{hgh}$ is a linear equivalence of the set of quotients of the set of tensor products of $Q$ and $N$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $Q$ and $P$.
lTensor.toFundefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the tensor of Q and hfg (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Then the tensor of $Q$ and $\mathrm{hfg}$ is a linear map of the set of quotients of the set of tensor products of $Q$ and $N$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $Q$ and $P$.
rTensor.equivdefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the equivalence of hfg and hg (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{Surjective}$ holds for $\operatorname{coe}$ applied to $g$. Then the equivalence of $\mathrm{hfg}$ and $\mathrm{hg}$ is a linear equivalence of the set of quotients of the set of tensor products of $N$ and $Q$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $P$ and $Q$.
rTensor.inversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the inverse map in Q (from the docstring)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{Surjective}$ holds for $\operatorname{coe}$ applied to $g$. Then the inverse map in $Q$ is a linear map of the set of tensor products of $P$ and $Q$ and the set of quotients of the set of tensor products of $N$ and $Q$ and the range of the tensor of $Q$ and $f$.
rTensor.inverse_of_rightInversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the inverse map in Q (from the docstring)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{RightInverse}$ holds for $h$ and $\operatorname{coe}$ applied to $g$. Then the inverse map in $Q$ is a linear map of the set of tensor products of $P$ and $Q$ and the set of quotients of the set of tensor products of $N$ and $Q$ and the range of the tensor of $Q$ and $f$.
rTensor.linearEquiv_of_rightInversedefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the linear equivalence of hfg and hgh (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Assume that $\operatorname{RightInverse}$ holds for $h$ and $\operatorname{coe}$ applied to $g$. Then the linear equivalence of $\mathrm{hfg}$ and $\mathrm{hgh}$ is a linear equivalence of the set of quotients of the set of tensor products of $N$ and $Q$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $P$ and $Q$.
rTensor.toFundefMathlib.LinearAlgebra.TensorProduct.RightExactness, function or constantWording
the tensor of Q and hfg (from the name)
English
Let $Q$ be a set. Assume that $\operatorname{Exact}$ holds for $\operatorname{coe}$ applied to $f$ and $\operatorname{coe}$ applied to $g$. Then the tensor of $Q$ and $\mathrm{hfg}$ is a linear map of the set of quotients of the set of tensor products of $N$ and $Q$ and the range of the tensor of $Q$ and $f$ and the set of tensor products of $P$ and $Q$.
Algebra.TensorProduct.algEquivIncludeRangedefMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantEnglish
Let $R$, $S$ and $T$ be sets. Then $\operatorname{algEquivIncludeRange}$ applied to $R$, $S$ and $T$ is an algebra isomorphism of the set of tensor products of $S$ and $T$ and the set of tensor products of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {\operatorname{range} (\operatorname{includeLeft})}{x_{5}})}$ and $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{range} (\operatorname{includeRight})}{x_{6}})}$.
Algebra.TensorProduct.linearEquivIncludeRangedefMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantEnglish
Let $R$, $S$ and $T$ be sets. Then $\operatorname{linearEquivIncludeRange}$ applied to $R$, $S$ and $T$ is a linear equivalence of the set of tensor products of $S$ and $T$ and the set of tensor products of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {\operatorname{range} (\operatorname{includeLeft})}{x_{5}})}$ and $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{range} (\operatorname{includeRight})}{x_{6}})}$.
Subalgebra.lTensorBotdefMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantWording
the tensor bottom of A (from the name)
English
Let $A$ be a subalgebra of $R$ and $S$. Then the tensor bottom of $A$ is an algebra isomorphism of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {A}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {A}{x_{5}})}$.
Subalgebra.mulMapdefMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantWording
the multiplicative map of A and B (from the name)
English
Let $A$ and $B$ be subalgebras of $R$ and $S$. Then the multiplicative map of $A$ and $B$ is an algebra homomorphism of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {A}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {B}{x_{4}})}$ and $S$ defined as the product map of the value of $A$ and the value of $B$.
Subalgebra.mulMap'defMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantWording
the multiplicative map of A and B (from the name)
English
Let $A$ and $B$ be subalgebras of $R$ and $S$. Then the multiplicative map of $A$ and $B$ is an algebra homomorphism of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {A}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {B}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {(\MaxmaxMACRoAF {A}{B})}{x_{5}})}$ defined as the composition of the algebra homomorphism of the equivalence of the range of the multiplicative map of $A$ and $B$ and $\MaxmaxMACRoAF {A}{B}$ and $\operatorname{rangeRestrict}$ applied to the multiplicative map of $A$ and $B$.
Subalgebra.rTensorBotdefMathlib.LinearAlgebra.TensorProduct.Subalgebra, function or constantWording
the tensor bottom of A (from the name)
English
Let $A$ be a subalgebra of $R$ and $S$. Then the tensor bottom of $A$ is an algebra isomorphism of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {A}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {A}{x_{5}})}$.
Submodule.lTensorOnedefMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the tensor one of N (from the name)
English
Let $N$ be a submodule of $R$ and $S$. Then the tensor one of $N$ is a linear equivalence of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {N}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {N}{x_{5}})}$.
Submodule.lTensorOne'defMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the tensor one of N (from the name)
English
Let $N$ be a submodule of $R$ and $S$. Then the tensor one of $N$ is a linear map of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {N}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {N}{x_{5}})}$.
Submodule.mulMapdefMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the multiplicative map of M and N (from the name)
English
Let $M$ and $N$ be submodules of $R$ and $S$. Then the multiplicative map of $M$ and $N$ is a linear map of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {M}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {N}{x_{4}})}$ and $S$ defined as the lift of $\mathrm{LinearMap\_\_domRestrict\_u2081\_\_u2082\_}$ applied to the product of $R$ and $S$, $M$ and $N$.
Submodule.mulMap'defMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the multiplicative map of M and N (from the name)
English
Let $M$ and $N$ be submodules of $R$ and $S$. Then the multiplicative map of $M$ and $N$ is a linear map of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {M}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {N}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {(M \times N)}{x_{5}})}$ defined as the composition of $\operatorname{toLinearMap}$ applied to the linear equivalence of the range of the multiplicative map of $M$ and $N$ and $M \times N$ and $\operatorname{rangeRestrict}$ applied to the multiplicative map of $M$ and $N$.
Submodule.rTensorOnedefMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the tensor one of M (from the name)
English
Let $M$ be a submodule of $R$ and $S$. Then the tensor one of $M$ is a linear equivalence of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {M}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {M}{x_{5}})}$.
Submodule.rTensorOne'defMathlib.LinearAlgebra.TensorProduct.Submodule, function or constantWording
the tensor one of M (from the name)
English
Let $M$ be a submodule of $R$ and $S$. Then the tensor one of $M$ is a linear map of the set of tensor products of $\SubtypeSet {x_{3}}{(\MembershipmemMACRoT {M}{x_{3}})}$ and $\SubtypeSet {x_{4}}{(\MembershipmemMACRoT {\operatorname{bot}}{x_{4}})}$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {M}{x_{5}})}$.
LinearEquiv.baseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change of e (from the name)
English
Let $R$, $A$, $M$ and $N$ be sets. Let $e$ be a linear equivalence of $M$ and $N$. Then the base change of $e$ is a linear equivalence of the set of tensor products of $A$ and $M$ and the set of tensor products of $A$ and $N$ defined as the congruence of the identity map of $A$ and $A$ and $e$.
LinearMap.baseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change of A and f (from the name)
English
Let $A$ be a set. Let $f$ be a linear map of $M$ and $N$. Then the base change of $A$ and $f$ is a linear map of the set of tensor products of $A$ and $M$ and the set of tensor products of $A$ and $N$ defined as the map of the identity and $f$.
LinearMap.baseChangeHomdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change homomorphism of M and N (from the name)
English
Let $R$, $A$, $M$ and $N$ be sets. Then the base change homomorphism of $M$ and $N$ is a linear map of the set of linear maps of $M$ and $N$ and the set of linear maps of the set of tensor products of $A$ and $M$ and the set of tensor products of $A$ and $N$ defined as $\operatorname{mk}$ applied to $\operatorname{mk}$ applied to $\operatorname{baseChange}$ applied to $A$ and $\mathrm{LinearMap\_\_baseChange\_add}$ and $\mathrm{LinearMap\_\_baseChange\_smul}$.
Module.End.baseChangeHomdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change homomorphism of A and M (from the name)
English
Let $R$, $A$ and $M$ be sets. Then the base change homomorphism of $A$ and $M$ is an algebra homomorphism of the set of ends of $R$ and $M$ and the set of ends of $A$ and the set of tensor products of $A$ and $M$ defined as the algebra homomorphism of the base change homomorphism of $M$ and $M$.
Submodule.baseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change of A and p (from the name)
English
Let $A$ be a set. Let $p$ be a submodule of $R$ and $M$. Then the base change of $A$ and $p$ is a submodule of $A$ and the set of tensor products of $A$ and $M$ defined as the range of the base change of $A$ and the subtype of $p$.
Submodule.toBaseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the base change of A and p (from the name)
English
Let $A$ be a set. Let $p$ be a submodule of $R$ and $M$. Then the base change of $A$ and $p$ is a linear map of the set of tensor products of $A$ and $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {p}{x_{5}})}$ and $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{baseChange} (A , p)}{x_{6}})}$ defined as $\operatorname{rangeRestrict}$ applied to the base change of $A$ and the subtype of $p$.
TensorProduct.AlgebraTensorModule.assocdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the associator of P and Q (from the name)
English
Let $R$, $A$, $B$, $M$, $P$ and $Q$ be sets. Then the associator of $P$ and $Q$ is a linear equivalence of the set of tensor products of the set of tensor products of $M$ and $P$ and $Q$ and the set of tensor products of $M$ and the set of tensor products of $P$ and $Q$.
TensorProduct.AlgebraTensorModule.cancelBaseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$, $B$, $M$ and $N$ be sets. Then $\operatorname{cancelBaseChange}$ applied to $R$, $A$, $B$, $M$ and $N$ is a linear equivalence of the set of tensor products of $M$ and the set of tensor products of $A$ and $N$ and the set of tensor products of $M$ and $N$ defined as the composition of the inverse of the associator of $A$ and $N$ and the congruence of $\operatorname{rid}$ applied to $A$, $B$ and $M$ and the identity map of $R$ and $N$.
TensorProduct.AlgebraTensorModule.congrdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the congruence of f and g (from the name)
English
Let $f$ be a linear equivalence of $M$ and $P$. Let $g$ be a linear equivalence of $N$ and $Q$. Then the congruence of $f$ and $g$ is a linear equivalence of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $Q$.
TensorProduct.AlgebraTensorModule.currydefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the curry of f (from the name)
English
Let $f$ be a linear map of the set of tensor products of $M$ and $N$ and $P$. Then the curry of $f$ is a linear map of $M$ and the set of linear maps of $N$ and $P$.
TensorProduct.AlgebraTensorModule.distribBaseChangedefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the distributive base change of N and Q (from the name)
English
Let $R$, $A$, $N$ and $Q$ be sets. Then the distributive base change of $N$ and $Q$ is a linear equivalence of the set of tensor products of $A$ and the set of tensor products of $N$ and $Q$ and the set of tensor products of the set of tensor products of $A$ and $N$ and the set of tensor products of $A$ and $Q$ defined as the inverse of the composition of $\operatorname{cancelBaseChange}$ applied to $R$, $A$, $A$, the set of tensor products of $A$ and $N$ and $Q$ and the associator of $N$ and $Q$.
TensorProduct.AlgebraTensorModule.homTensorHomMapdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the homomorphism tensor homomorphism map of P and Q (from the name)
English
Let $R$, $A$, $B$, $M$, $N$, $P$ and $Q$ be sets. Then the homomorphism tensor homomorphism map of $P$ and $Q$ is a linear map of the set of tensor products of the set of linear maps of $M$ and $P$ and the set of linear maps of $N$ and $Q$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $Q$ defined as the lift of the map bilinear of $P$ and $Q$.
TensorProduct.AlgebraTensorModule.lTensordefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the tensor of A and M (from the name)
English
Let $A$ and $M$ be sets. Then the tensor of $A$ and $M$ is a linear map of the set of linear maps of $N$ and $Q$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $M$ and $Q$.
TensorProduct.AlgebraTensorModule.lcurrydefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$, $B$, $M$, $N$ and $P$ be sets. Then $\operatorname{lcurry}$ applied to $R$, $A$, $B$, $M$, $N$ and $P$ is a linear map of the set of linear maps of the set of tensor products of $M$ and $N$ and $P$ and the set of linear maps of $M$ and the set of linear maps of $N$ and $P$.
TensorProduct.AlgebraTensorModule.leftCommdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$, $M$, $P$ and $Q$ be sets. Then $\operatorname{leftComm}$ applied to $R$, $A$, $M$, $P$ and $Q$ is a linear equivalence of the set of tensor products of $M$ and the set of tensor products of $P$ and $Q$ and the set of tensor products of $P$ and the set of tensor products of $M$ and $Q$ defined as the composition of the composition of the inverse of the associator of $P$ and $Q$ and the congruence of $\operatorname{comm}$ applied to $A$, $M$ and $P$ and $1$ and the associator of $M$ and $Q$.
TensorProduct.AlgebraTensorModule.liftdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the lift of f (from the name)
English
Let $f$ be a linear map of $M$ and the set of linear maps of $N$ and $P$. Then the lift of $f$ is a linear map of the set of tensor products of $M$ and $N$ and $P$.
TensorProduct.AlgebraTensorModule.lift.equivdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the equivalence of N and P (from the name)
English
Let $R$, $A$, $B$, $M$, $N$ and $P$ be sets. Then the equivalence of $N$ and $P$ is a linear equivalence of the set of linear maps of $M$ and the set of linear maps of $N$ and $P$ and the set of linear maps of the set of tensor products of $M$ and $N$ and $P$.
TensorProduct.AlgebraTensorModule.mapdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the map of f and g (from the name)
English
Let $f$ be a linear map of $M$ and $P$. Let $g$ be a linear map of $N$ and $Q$. Then the map of $f$ and $g$ is a linear map of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $Q$.
TensorProduct.AlgebraTensorModule.mapBilineardefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the map bilinear of P and Q (from the name)
English
Let $R$, $A$, $B$, $M$, $N$, $P$ and $Q$ be sets. Then the map bilinear of $P$ and $Q$ is a linear map of the set of linear maps of $M$ and $P$ and the set of linear maps of the set of linear maps of $N$ and $Q$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $Q$ defined as $\mathrm{LinearMap\_\_mk\_u2082\_'}$ applied to $B$, $R$, $\operatorname{map}$, $\mathrm{TensorProduct\_\_AlgebraTensorModule\_\_map\_add\_left}$, $\mathrm{TensorProduct\_\_AlgebraTensorModule\_\_map\_smul\_left}$, $\mathrm{TensorProduct\_\_AlgebraTensorModule\_\_map\_add\_right}$ and $\mathrm{TensorProduct\_\_AlgebraTensorModule\_\_map\_smul\_right}$.
TensorProduct.AlgebraTensorModule.mkdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$, $M$ and $N$ be sets. Then $\operatorname{mk}$ applied to $R$, $A$, $M$ and $N$ is a linear map of $M$ and the set of linear maps of $N$ and the set of tensor products of $M$ and $N$.
TensorProduct.AlgebraTensorModule.rTensordefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the tensor of R and N (from the name)
English
Let $R$ and $N$ be sets. Then the tensor of $R$ and $N$ is a linear map of the set of linear maps of $M$ and $P$ and the set of linear maps of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $N$.
TensorProduct.AlgebraTensorModule.riddefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$ and $M$ be sets. Then $\operatorname{rid}$ applied to $R$, $A$ and $M$ is a linear equivalence of the set of tensor products of $M$ and $R$ and $M$.
TensorProduct.AlgebraTensorModule.rightCommdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $S$, $B$, $M$, $P$ and $Q$ be sets. Then $\operatorname{rightComm}$ applied to $R$, $S$, $B$, $M$, $P$ and $Q$ is a linear equivalence of the set of tensor products of the set of tensor products of $M$ and $P$ and $Q$ and the set of tensor products of the set of tensor products of $M$ and $Q$ and $P$.
TensorProduct.AlgebraTensorModule.tensorTensorTensorCommdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $S$, $A$, $B$, $M$, $N$, $P$ and $Q$ be sets. Then $\operatorname{tensorTensorTensorComm}$ applied to $R$, $S$, $A$, $B$, $M$, $N$, $P$ and $Q$ is a linear equivalence of the set of tensor products of the set of tensor products of $M$ and $N$ and the set of tensor products of $P$ and $Q$ and the set of tensor products of the set of tensor products of $M$ and $P$ and the set of tensor products of $N$ and $Q$ defined as the composition of the composition of the inverse of the associator of $P$ and $Q$ and the congruence of $\operatorname{rightComm}$ applied to $A$, $S$, $B$, $M$, $N$ and $P$ and the identity map of $R$ and $Q$ and the associator of $N$ and $Q$.
TensorProduct.AlgebraTensorModule.uliftEquivdefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantWording
the lift equivalence of M and N (from the name)
English
Let $R$, $A$, $M$ and $N$ be sets. Then the lift equivalence of $M$ and $N$ is a linear equivalence of $\mathrm{ULift}$ applied to the set of tensor products of $M$ and $N$ and the set of tensor products of $\mathrm{ULift}$ applied to $M$ and $\mathrm{ULift}$ applied to $N$ defined as the composition of the composition of the module equivalence and the congruence of the inverse of the module equivalence and the inverse of the module equivalence and the equivalence of $\mathrm{ULift}$ applied to $M$ and $\mathrm{ULift}$ applied to $N$.
TensorProduct.AlgebraTensorModule.uncurrydefMathlib.LinearAlgebra.TensorProduct.Tower, function or constantEnglish
Let $R$, $A$, $B$, $M$, $N$ and $P$ be sets. Then $\operatorname{uncurry}$ applied to $R$, $A$, $B$, $M$, $N$ and $P$ is a linear map of the set of linear maps of $M$ and the set of linear maps of $N$ and $P$ and the set of linear maps of the set of tensor products of $M$ and $N$ and $P$.
TensorProduct.VanishesTriviallydefMathlib.LinearAlgebra.TensorProduct.Vanishing, predicateEnglish
Let $R$ be a set. Let $m$ be a function from elements of $x_{5}$ to elements of $M$. Let $n$ be a function from elements of $x_{5}$ to elements of $N$. Then $\operatorname{VanishesTrivially}$ holds for $R$, $m$ and $n$, if there exists a natural number $k$, such that there exists a function $a$ from elements of $x_{5}$ and elements of $\mathrm{Fin}$ applied to $k$ to elements of $R$, such that there exists a function $y$ from elements of $\mathrm{Fin}$ applied to $k$ to elements of $N$, such that for all elements $i$ of $x_{5}$, $\EqtMACRoH {n (i)}{\FinsetSum {\FinsetunivMACRoAC}{j}{(\HSMulhSMulMACRoAL {a (i , j)}{y (j)})}}$ and for all elements $j_{1}$ of $\mathrm{Fin}$ applied to $k$, $\EqtMACRoH {\FinsetSum {\FinsetunivMACRoAC}{i_{1}}{(\HSMulhSMulMACRoAL {a (i_{1} , j_{1})}{m (i_{1})})}}{0}$.
LinearMap.tracedefMathlib.LinearAlgebra.Trace, function or constantWording
the trace of R and M (from the name)
English
Let $R$ and $M$ be sets. Then the trace of $R$ and $M$ is a linear map of the set of linear maps of $M$ and $M$ and $R$.
LinearEquiv.dilatransvectiondefMathlib.LinearAlgebra.Transvection.Basic, function or constantEnglish
Assume that $1 + f (v)$ is a unit. Then $\operatorname{dilatransvection}$ applied to $h$ is a linear equivalence of $V$ and $V$.
LinearEquiv.dilatransvectionsdefMathlib.LinearAlgebra.Transvection.Basic, function or constantEnglish
Let $R$ and $V$ be sets. Then $\operatorname{dilatransvections}$ applied to $R$ and $V$ is an element of the power set of the set of linear equivalences of $V$ and $V$ defined as $\operatorname{ofPred}$ applied to the function that maps $e$ to the proposition that there exists a dual $f$ of $R$ and $V$, such that there exists an element $v$ of $V$, such that $\operatorname{toLinearMap}$ applied to $e$ is equal to the transvection of $f$ and $v$.
LinearEquiv.transvectiondefMathlib.LinearAlgebra.Transvection.Basic, function or constantWording
the transvection of h (from the name)
English
Assume that $\EqtMACRoH {f (v)}{0}$. Then the transvection of $h$ is a linear equivalence of $V$ and $V$.
LinearEquiv.transvectionsdefMathlib.LinearAlgebra.Transvection.Basic, function or constantWording
the transvection of R and V (from the name)
English
Let $R$ and $V$ be sets. Then the transvection of $R$ and $V$ is an element of the power set of the set of linear equivalences of $V$ and $V$ defined as $\operatorname{ofPred}$ applied to the function that maps $e$ to the proposition that there exists a dual $f$ of $R$ and $V$, such that there exists an element $v$ of $V$, such that there exists an element $\mathrm{hfv}$ of $\EqtMACRoH {f (v)}{0}$, such that $e$ is equal to the transvection of $\mathrm{hfv}$.
LinearMap.transvectiondefMathlib.LinearAlgebra.Transvection.Basic, function or constantWording
the transvection of f and v (from the name)
English
Let $f$ be a dual of $R$ and $V$. Let $v$ be an element of $V$. Then the transvection of $f$ and $v$ is a linear map of $V$ and $V$.
LinearEquiv.IsExceptionaldefMathlib.LinearAlgebra.Transvection.Generation, predicateWording
e is exceptional (from the name)
English
Let $e$ be a linear equivalence of $V$ and $V$. Then $e$ is exceptional, if $1$ is less than the rank of $K$ and the set of quotients of $V$ and the fixed submodule of $\operatorname{toLinearMap}$ applied to $e$, $\operatorname{fixedReduce} (e)\neq 1$ and there exists an element $a$ of $K$ such that for all quotients $x_{3}$ of $V$ and the fixed submodule of $\operatorname{toLinearMap}$ applied to $e$, $\EqtMACRoH {\operatorname{fixedReduce} (e , x_{3})}{\HSMulhSMulMACRoAL {a}{x_{3}}}$.
Module.IsUnimodulardefMathlib.LinearAlgebra.Unimodular, predicateWording
v is unimodular (from the name)
English
Let $R$ be a set. Let $v$ be an element of $M$. Then $v$ is unimodular, if there exists a linear map $f$ of $M$ and $R$, such that $\EqtMACRoH {f (v)}{1}$.
Matrix.UnitaryGroup.embeddingGLdefMathlib.LinearAlgebra.UnitaryGroup, function or constantEnglish
$\operatorname{embeddingGL}$ is a monoid homomorphism of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{5}})}$ and the set of general linear groups of $x_{2}$ and the set of functions from elements of $n$ to elements of $x_{2}$ defined as $\operatorname{mk}$ applied to $\operatorname{mk}$ applied to the function that maps $A$ to $\operatorname{toGL}$ applied to $A$ and $\mathrm{Matrix\_\_UnitaryGroup\_\_toGL\_one}$ and $\mathrm{Matrix\_\_UnitaryGroup\_\_toGL\_mul}$.
Matrix.UnitaryGroup.map_stardefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the map star of U (from the name)
English
Let $U$ be an element of $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{6}})}$. Then the map star of $U$ is an element of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{5}})}$ defined as the map of $U$ and $\operatorname{star}$.
Matrix.UnitaryGroup.toGLdefMathlib.LinearAlgebra.UnitaryGroup, function or constantEnglish
Let $A$ be an element of $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{6}})}$. Then $\operatorname{toGL}$ applied to $A$ is a general linear group of $x_{2}$ and the set of functions from elements of $n$ to elements of $x_{2}$ defined as the general linear group of the linear equivalence of $A$.
Matrix.UnitaryGroup.toLin'defMathlib.LinearAlgebra.UnitaryGroup, function or constantEnglish
Let $A$ be an element of $\SubtypeSet {x_{7}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{7}})}$. Then $\operatorname{toLin'}$ applied to $A$ is a linear map of the set of functions from elements of $n$ to elements of $x_{2}$ and the set of functions from elements of $n$ to elements of $x_{2}$ defined as $\operatorname{toLin'}$ applied to $A$.
Matrix.UnitaryGroup.toLinearEquivdefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the linear equivalence of A (from the name)
English
Let $A$ be an element of $\SubtypeSet {x_{7}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{7}})}$. Then the linear equivalence of $A$ is a linear equivalence of the set of functions from elements of $n$ to elements of $x_{2}$ and the set of functions from elements of $n$ to elements of $x_{2}$.
Matrix.UnitaryGroup.transposedefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the transpose of U (from the docstring)
English
Let $U$ be an element of $\SubtypeSet {x_{6}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{6}})}$. Then the transpose of $U$ is an element of $\SubtypeSet {x_{5}}{(\MembershipmemMACRoT {\operatorname{unitaryGroup} (n , x_{2})}{x_{5}})}$ defined as the transpose of $U$.
Matrix.orthogonalGroupdefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the orthogonal group of n and R (from the name)
English
Let $n$ and $R$ be sets. Then the orthogonal group of $n$ and $R$ is a submonoid of the set of matrixes of $n$ and $R$ defined as the unitary group of $n$ and $R$.
Matrix.specialOrthogonalGroupdefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the special orthogonal group of n and R (from the name)
English
Let $n$ and $R$ be sets. Then the special orthogonal group of $n$ and $R$ is a submonoid of the set of matrixes of $n$ and $R$ defined as the special unitary group of $n$ and $R$.
Matrix.specialUnitaryGroupdefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the special unitary group of n and x2 (from the name)
English
Let $n$ and $x_{2}$ be sets. Then the special unitary group of $n$ and $x_{2}$ is a submonoid of the set of matrixes of $n$ and $x_{2}$ defined as the minimum of the unitary group of $n$ and $x_{2}$ and $\operatorname{mker}$ applied to the determinant.
Matrix.unitaryGroupdefMathlib.LinearAlgebra.UnitaryGroup, function or constantWording
the unitary group of n and x2 (from the name)
English
Let $n$ and $x_{2}$ be sets. Then the unitary group of $n$ and $x_{2}$ is a submonoid of the set of matrixes of $n$ and $x_{2}$ defined as $\mathrm{unitary}$ applied to the set of matrixes of $n$ and $x_{2}$.
Matrix.projVandermondedefMathlib.LinearAlgebra.Vandermonde, function or constantEnglish
Let $v$ and $w$ be functions from elements of $\mathrm{Fin}$ applied to $n$ to elements of $R$. Then there is a matrix of $\mathrm{Fin}$ applied to $n$ and $R$. Proof. Let $v$ be arbitrary. Let $w$ be arbitrary. By v. By w. By n. By Matrix__rectVandermonde.
Matrix.rectVandermondedefMathlib.LinearAlgebra.Vandermonde, function or constantEnglish
Let $v$ and $w$ be functions from elements of $x_{1}$ to elements of $R$. Let $n$ be a natural number. Then there is a matrix of $\mathrm{Fin}$ applied to $n$ and $R$. Proof. Let $v$ be arbitrary. Let $w$ be arbitrary. Let $n$ be arbitrary. Let $i_{1}$ be arbitrary. Let $j_{1}$ be arbitrary. By i1. By v. By j1. By Fin__val. By pow. By i1. By w. By j1. By Fin__rev. By Fin__val. By pow. By times. By Matrix__of__app.
Matrix.vandermondedefMathlib.LinearAlgebra.Vandermonde, function or constantEnglish
Let $v$ be a function from elements of $\mathrm{Fin}$ applied to $n$ to elements of $R$. Then there is a matrix of $\mathrm{Fin}$ applied to $n$ and $R$. Proof. Let $v$ be arbitrary. Let $i_{1}$ be arbitrary. Let $j_{1}$ be arbitrary. By i1. By v. By j1. By Fin__val. By pow. By Matrix__of__app.