Tensor product of modules over commutative semirings. #
This file constructs the tensor product of modules over commutative semirings. Given a semiring
R
and modules over it M
and N
, the standard construction of the tensor product is
TensorProduct R M N
. It is also a module over R
.
It comes with a canonical bilinear map M → N → TensorProduct R M N
.
Given any bilinear map M → N → P
, there is a unique linear map TensorProduct R M N → P
whose
composition with the canonical bilinear map M → N → TensorProduct R M N
is the given bilinear
map M → N → P
.
We start by proving basic lemmas about bilinear maps.
Notations #
This file uses the localized notation M ⊗ N
and M ⊗[R] N
for TensorProduct R M N
, as well
as m ⊗ₜ n
and m ⊗ₜ[R] n
for TensorProduct.tmul R m n
.
Tags #
bilinear, tensor, tensor product
- of_zero_left: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (n : N), TensorProduct.Eqv R M N (FreeAddMonoid.of (0, n)) 0
- of_zero_right: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (m : M), TensorProduct.Eqv R M N (FreeAddMonoid.of (m, 0)) 0
- of_add_left: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (m₁ m₂ : M) (n : N), TensorProduct.Eqv R M N (FreeAddMonoid.of (m₁, n) + FreeAddMonoid.of (m₂, n)) (FreeAddMonoid.of (m₁ + m₂, n))
- of_add_right: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (m : M) (n₁ n₂ : N), TensorProduct.Eqv R M N (FreeAddMonoid.of (m, n₁) + FreeAddMonoid.of (m, n₂)) (FreeAddMonoid.of (m, n₁ + n₂))
- of_smul: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (r : R) (m : M) (n : N), TensorProduct.Eqv R M N (FreeAddMonoid.of (r • m, n)) (FreeAddMonoid.of (m, r • n))
- add_comm: ∀ {R : Type u_1} [inst : CommSemiring R] {M : Type u_4} {N : Type u_5} [inst_1 : AddCommMonoid M] [inst_2 : AddCommMonoid N] [inst_3 : Module R M] [inst_4 : Module R N] (x y : FreeAddMonoid (M × N)), TensorProduct.Eqv R M N (x + y) (y + x)
The relation on FreeAddMonoid (M × N)
that generates a congruence whose quotient is
the tensor product.
Instances For
The tensor product of two modules M
and N
over the same commutative semiring R
.
The localized notations are M ⊗ N
and M ⊗[R] N
, accessed by open scoped TensorProduct
.
Equations
- TensorProduct R M N = AddCon.Quotient (addConGen (TensorProduct.Eqv R M N))
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Equations
- TensorProduct.add M N = AddCon.hasAdd (addConGen (TensorProduct.Eqv R M N))
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Equations
- TensorProduct.addCommSemigroup M N = let src := AddCon.addMonoid (addConGen (TensorProduct.Eqv R M N)); AddCommSemigroup.mk (_ : ∀ (x y : TensorProduct R M N), x + y = y + x)
Equations
- TensorProduct.instInhabitedTensorProduct M N = { default := 0 }
The canonical function M → N → M ⊗ N
. The localized notations are m ⊗ₜ n
and m ⊗ₜ[R] n
,
accessed by open scoped TensorProduct
.
Equations
- m ⊗ₜ[R] n = ↑(AddCon.mk' (addConGen (TensorProduct.Eqv R M N))) (FreeAddMonoid.of (m, n))
Instances For
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A typeclass for SMul
structures which can be moved across a tensor product.
This typeclass is generated automatically from an IsScalarTower
instance, but exists so that
we can also add an instance for AddCommGroup.intModule
, allowing z •
to be moved even if
R
does not support negation.
Note that Module R' (M ⊗[R] N)
is available even without this typeclass on R'
; it's only
needed if TensorProduct.smul_tmul
, TensorProduct.smul_tmul'
, or TensorProduct.tmul_smul
is
used.
Instances
Note that this provides the default compatible_smul R R M N
instance through
IsScalarTower.left
.
smul
can be moved from one side of the product to the other .
Auxiliary function to defining scalar multiplication on tensor product.
Equations
- TensorProduct.SMul.aux r = ↑FreeAddMonoid.lift fun p => (r • p.fst) ⊗ₜ[R] p.snd
Instances For
Given two modules over a commutative semiring R
, if one of the factors carries a
(distributive) action of a second type of scalars R'
, which commutes with the action of R
, then
the tensor product (over R
) carries an action of R'
.
This instance defines this R'
action in the case that it is the left module which has the R'
action. Two natural ways in which this situation arises are:
- Extension of scalars
- A tensor product of a group representation with a module not carrying an action
Note that in the special case that R = R'
, since R
is commutative, we just get the usual scalar
action on a tensor product of two modules. This special case is important enough that, for
performance reasons, we define it explicitly below.
Equations
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Equations
- TensorProduct.instSMulTensorProduct = TensorProduct.leftHasSMul
Equations
- TensorProduct.addCommMonoid = let src := TensorProduct.addCommSemigroup M N; let src := TensorProduct.addZeroClass M N; AddCommMonoid.mk (_ : ∀ (a b : TensorProduct R M N), a + b = b + a)
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Equations
- TensorProduct.instDistribMulActionTensorProductToMonoidToMonoidWithZeroToSemiringToAddMonoidAddCommMonoid = TensorProduct.leftDistribMulAction
Equations
- TensorProduct.instModuleTensorProductToSemiringAddCommMonoid = TensorProduct.leftModule
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SMulCommClass R' R'₂ M
implies SMulCommClass R' R'₂ (M ⊗[R] N)
IsScalarTower R'₂ R' M
implies IsScalarTower R'₂ R' (M ⊗[R] N)
IsScalarTower R'₂ R' N
implies IsScalarTower R'₂ R' (M ⊗[R] N)
A short-cut instance for the common case, where the requirements for the compatible_smul
instances are sufficient.
The canonical bilinear map M → N → M ⊗[R] N
.
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Instances For
The simple (aka pure) elements span the tensor product.
Auxiliary function to constructing a linear map M ⊗ N → P
given a bilinear map M → N → P
with the property that its composition with the canonical bilinear map M → N → M ⊗ N
is
the given bilinear map M → N → P
.
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Constructing a linear map M ⊗ N → P
given a bilinear map M → N → P
with the property that
its composition with the canonical bilinear map M → N → M ⊗ N
is
the given bilinear map M → N → P
.
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Instances For
This used to be an @[ext]
lemma, but it fails very slowly when the ext
tactic tries to apply
it in some cases, notably when one wants to show equality of two linear maps. The @[ext]
attribute is now added locally where it is needed. Using this as the @[ext]
lemma instead of
TensorProduct.ext'
allows ext
to apply lemmas specific to M →ₗ _
and N →ₗ _
.
See note [partially-applied ext lemmas].
Linearly constructing a linear map M ⊗ N → P
given a bilinear map M → N → P
with the property that its composition with the canonical bilinear map M → N → M ⊗ N
is
the given bilinear map M → N → P
.
Equations
- TensorProduct.uncurry R M N P = LinearMap.flip (TensorProduct.lift (LinearMap.comp LinearMap.lflip (LinearMap.flip LinearMap.id)))
Instances For
A linear equivalence constructing a linear map M ⊗ N → P
given a bilinear map M → N → P
with the property that its composition with the canonical bilinear map M → N → M ⊗ N
is
the given bilinear map M → N → P
.
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Instances For
Given a linear map M ⊗ N → P
, compose it with the canonical bilinear map M → N → M ⊗ N
to
form a bilinear map M → N → P
.
Equations
- TensorProduct.lcurry R M N P = ↑(LinearEquiv.symm (TensorProduct.lift.equiv R M N P))
Instances For
Given a linear map M ⊗ N → P
, compose it with the canonical bilinear map M → N → M ⊗ N
to
form a bilinear map M → N → P
.
Equations
- TensorProduct.curry f = ↑(TensorProduct.lcurry R M N P) f
Instances For
Two linear maps (M ⊗ N) ⊗ (P ⊗ Q) → S which agree on all elements of the form (m ⊗ₜ n) ⊗ₜ (p ⊗ₜ q) are equal.
The base ring is a left identity for the tensor product of modules, up to linear equivalence.
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The tensor product of modules is commutative, up to linear equivalence.
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The base ring is a right identity for the tensor product of modules, up to linear equivalence.
Equations
- TensorProduct.rid R M = LinearEquiv.trans (TensorProduct.comm R M R) (TensorProduct.lid R M)
Instances For
The associator for tensor product of R-modules, as a linear equivalence.
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The tensor product of a pair of linear maps between modules.
Equations
- TensorProduct.map f g = TensorProduct.lift (LinearMap.comp (LinearMap.compl₂ (TensorProduct.mk R P Q) g) f)
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Given submodules p ⊆ P
and q ⊆ Q
, this is the natural map: p ⊗ q → P ⊗ Q
.
Equations
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The tensor product of a pair of linear maps between modules, bilinear in both maps.
Equations
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The canonical linear map from P ⊗[R] (M →ₗ[R] Q)
to (M →ₗ[R] P ⊗[R] Q)
Equations
- TensorProduct.lTensorHomToHomLTensor R M P Q = TensorProduct.lift (LinearMap.comp (LinearMap.llcomp R M Q (TensorProduct R P Q)) (TensorProduct.mk R P Q))
Instances For
The canonical linear map from (M →ₗ[R] P) ⊗[R] Q
to (M →ₗ[R] P ⊗[R] Q)
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The linear map from (M →ₗ P) ⊗ (N →ₗ Q)
to (M ⊗ N →ₗ P ⊗ Q)
sending f ⊗ₜ g
to
the TensorProduct.map f g
, the tensor product of the two maps.
Equations
- TensorProduct.homTensorHomMap R M N P Q = TensorProduct.lift (TensorProduct.mapBilinear R M N P Q)
Instances For
If M
and P
are linearly equivalent and N
and Q
are linearly equivalent
then M ⊗ N
and P ⊗ Q
are linearly equivalent.
Equations
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Instances For
A tensor product analogue of mul_left_comm
.
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This special case is worth defining explicitly since it is useful for defining multiplication on tensor products of modules carrying multiplications (e.g., associative rings, Lie rings, ...).
E.g., suppose M = P
and N = Q
and that M
and N
carry bilinear multiplications:
M ⊗ M → M
and N ⊗ N → N
. Using map
, we can define (M ⊗ M) ⊗ (N ⊗ N) → M ⊗ N
which, when
combined with this definition, yields a bilinear multiplication on M ⊗ N
:
(M ⊗ N) ⊗ (M ⊗ N) → M ⊗ N
. In particular we could use this to define the multiplication in
the TensorProduct.semiring
instance (currently defined "by hand" using TensorProduct.mul
).
See also mul_mul_mul_comm
.
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This special case is useful for describing the interplay between dualTensorHomEquiv
and
composition of linear maps.
E.g., composition of linear maps gives a map (M → N) ⊗ (N → P) → (M → P)
, and applying
dual_tensor_hom_equiv.symm
to the three hom-modules gives a map
(M.dual ⊗ N) ⊗ (N.dual ⊗ P) → (M.dual ⊗ P)
, which agrees with the application of contractRight
on N ⊗ N.dual
after the suitable rebracketting.
Equations
- TensorProduct.tensorTensorTensorAssoc R M N P Q = LinearEquiv.trans (LinearEquiv.symm (TensorProduct.assoc R (TensorProduct R M N) P Q)) (TensorProduct.congr (TensorProduct.assoc R M N P) 1)
Instances For
lTensor M f : M ⊗ N →ₗ M ⊗ P
is the natural linear map induced by f : N →ₗ P
.
Equations
- LinearMap.lTensor M f = TensorProduct.map LinearMap.id f
Instances For
rTensor f M : N₁ ⊗ M →ₗ N₂ ⊗ M
is the natural linear map induced by f : N₁ →ₗ N₂
.
Equations
- LinearMap.rTensor M f = TensorProduct.map f LinearMap.id
Instances For
lTensorHom M
is the natural linear map that sends a linear map f : N →ₗ P
to M ⊗ f
.
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rTensorHom M
is the natural linear map that sends a linear map f : N →ₗ P
to M ⊗ f
.
Equations
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Auxiliary function to defining negation multiplication on tensor product.
Equations
- TensorProduct.Neg.aux R = ↑FreeAddMonoid.lift fun p => (-p.fst) ⊗ₜ[R] p.snd
Instances For
Equations
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Equations
- TensorProduct.addCommGroup = let src := TensorProduct.addCommMonoid; AddCommGroup.mk (_ : ∀ (a b : TensorProduct R M N), a + b = b + a)
While the tensor product will automatically inherit a ℤ-module structure from
AddCommGroup.intModule
, that structure won't be compatible with lemmas like tmul_smul
unless
we use a ℤ-Module
instance provided by TensorProduct.left_module
.
When R
is a Ring
we get the required TensorProduct.compatible_smul
instance through
IsScalarTower
, but when it is only a Semiring
we need to build it from scratch.
The instance diamond in compatible_smul
doesn't matter because it's in Prop
.