Multilinear maps #
We define multilinear maps as maps from ∀ (i : ι), M₁ i to M₂ which are linear in each
coordinate. Here, M₁ i and M₂ are modules over a ring R, and ι is an arbitrary type
(although some statements will require it to be a fintype). This space, denoted by
MultilinearMap R M₁ M₂, inherits a module structure by pointwise addition and multiplication.
Main definitions #
MultilinearMap R M₁ M₂is the space of multilinear maps from∀ (i : ι), M₁ itoM₂.f.map_smulis the multiplicativity of the multilinear mapfalong each coordinate.f.map_addis the additivity of the multilinear mapfalong each coordinate.f.map_smul_univexpresses the multiplicativity offover all coordinates at the same time, writingf (fun i => c i • m i)as(∏ i, c i) • f m.f.map_add_univexpresses the additivity offover all coordinates at the same time, writingf (m + m')as the sum over all subsetssofιoff (s.piecewise m m').f.map_sumexpressesf (Σ_{j₁} g₁ j₁, ..., Σ_{jₙ} gₙ jₙ)as the sum off (g₁ (r 1), ..., gₙ (r n))whererranges over all possible functions.
We also register isomorphisms corresponding to currying or uncurrying variables, transforming a
multilinear function f on n+1 variables into a linear function taking values in multilinear
functions in n variables, and into a multilinear function in n variables taking values in linear
functions. These operations are called f.curryLeft and f.curryRight respectively
(with inverses f.uncurryLeft and f.uncurryRight). These operations induce linear equivalences
between spaces of multilinear functions in n+1 variables and spaces of linear functions into
multilinear functions in n variables (resp. multilinear functions in n variables taking values
in linear functions), called respectively multilinearCurryLeftEquiv and
multilinearCurryRightEquiv.
Implementation notes #
Expressing that a map is linear along the i-th coordinate when all other coordinates are fixed
can be done in two (equivalent) different ways:
- fixing a vector
m : ∀ (j : ι - i), M₁ j.val, and then choosing separately thei-th coordinate - fixing a vector
m : ∀j, M₁ j, and then modifying itsi-th coordinate
The second way is more artificial as the value of m at i is not relevant, but it has the
advantage of avoiding subtype inclusion issues. This is the definition we use, based on
Function.update that allows to change the value of m at i.
Note that the use of Function.update requires a DecidableEq ι term to appear somewhere in the
statement of MultilinearMap.map_add' and MultilinearMap.map_smul'. Three possible choices
are:
- Requiring
DecidableEq ιas an argument toMultilinearMap(as we did originally). - Using
Classical.decEq ιin the statement ofmap_add'andmap_smul'. - Quantifying over all possible
DecidableEq ιinstances in the statement ofmap_add'andmap_smul'.
Option 1 works fine, but puts unnecessary constraints on the user (the zero map certainly does not
need decidability). Option 2 looks great at first, but in the common case when ι = Fin n it
introduces non-defeq decidability instance diamonds within the context of proving map_add' and
map_smul', of the form Fin.decidableEq n = Classical.decEq (Fin n). Option 3 of course does
something similar, but of the form Fin.decidableEq n = _inst, which is much easier to clean up
since _inst is a free variable and so the equality can just be substituted.
Multilinear maps over the ring R, from ∀ i, M₁ i to M₂ where M₁ i and M₂ are modules
over R.
- toFun : ((i : ι) → M₁ i) → M₂
The underlying multivariate function of a multilinear map.
- map_add' : ∀ [inst : DecidableEq ι] (m : (i : ι) → M₁ i) (i : ι) (x y : M₁ i), self.toFun (Function.update m i (x + y)) = self.toFun (Function.update m i x) + self.toFun (Function.update m i y)
A multilinear map is additive in every argument.
- map_smul' : ∀ [inst : DecidableEq ι] (m : (i : ι) → M₁ i) (i : ι) (c : R) (x : M₁ i), self.toFun (Function.update m i (c • x)) = c • self.toFun (Function.update m i x)
A multilinear map is compatible with scalar multiplication in every argument.
Instances For
A multilinear map is additive in every argument.
A multilinear map is compatible with scalar multiplication in every argument.
Equations
- MultilinearMap.instFunLikeForall = { coe := fun (f : MultilinearMap R M₁ M₂) => f.toFun, coe_injective' := ⋯ }
Equations
- MultilinearMap.instAdd = { add := fun (f f' : MultilinearMap R M₁ M₂) => { toFun := fun (x : (i : ι) → M₁ i) => f x + f' x, map_add' := ⋯, map_smul' := ⋯ } }
Equations
- MultilinearMap.instZero = { zero := { toFun := fun (x : (i : ι) → M₁ i) => 0, map_add' := ⋯, map_smul' := ⋯ } }
Equations
- MultilinearMap.instInhabited = { default := 0 }
Equations
- MultilinearMap.instSMul = { smul := fun (c : R') (f : MultilinearMap A M₁ M₂) => { toFun := fun (m : (i : ι) → M₁ i) => c • f m, map_add' := ⋯, map_smul' := ⋯ } }
Equations
- MultilinearMap.addCommMonoid = Function.Injective.addCommMonoid DFunLike.coe ⋯ ⋯ ⋯ ⋯
Coercion of a multilinear map to a function as an additive monoid homomorphism.
Equations
- MultilinearMap.coeAddMonoidHom = { toFun := DFunLike.coe, map_zero' := ⋯, map_add' := ⋯ }
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If f is a multilinear map, then f.toLinearMap m i is the linear map obtained by fixing all
coordinates but i equal to those of m, and varying the i-th coordinate.
Equations
- f.toLinearMap m i = { toFun := fun (x : M₁ i) => f (Function.update m i x), map_add' := ⋯, map_smul' := ⋯ }
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The cartesian product of two multilinear maps, as a multilinear map.
Equations
- f.prod g = { toFun := fun (m : (i : ι) → M₁ i) => (f m, g m), map_add' := ⋯, map_smul' := ⋯ }
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Combine a family of multilinear maps with the same domain and codomains M' i into a
multilinear map taking values in the space of functions ∀ i, M' i.
Equations
- MultilinearMap.pi f = { toFun := fun (m : (i : ι) → M₁ i) (i : ι') => (f i) m, map_add' := ⋯, map_smul' := ⋯ }
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Equivalence between linear maps M₂ →ₗ[R] M₃ and one-multilinear maps.
Equations
- One or more equations did not get rendered due to their size.
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The constant map is multilinear when ι is empty.
Equations
- MultilinearMap.constOfIsEmpty R M₁ m = { toFun := Function.const ((i : ι) → M₁ i) m, map_add' := ⋯, map_smul' := ⋯ }
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Given a multilinear map f on n variables (parameterized by Fin n) and a subset s of k
of these variables, one gets a new multilinear map on Fin k by varying these variables, and fixing
the other ones equal to a given value z. It is denoted by f.restr s hk z, where hk is a
proof that the cardinality of s is k. The implicit identification between Fin k and s that
we use is the canonical (increasing) bijection.
Equations
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In the specific case of multilinear maps on spaces indexed by Fin (n+1), where one can build
an element of ∀ (i : Fin (n+1)), M i using cons, one can express directly the additivity of a
multilinear map along the first variable.
In the specific case of multilinear maps on spaces indexed by Fin (n+1), where one can build
an element of ∀ (i : Fin (n+1)), M i using cons, one can express directly the multiplicativity
of a multilinear map along the first variable.
In the specific case of multilinear maps on spaces indexed by Fin (n+1), where one can build
an element of ∀ (i : Fin (n+1)), M i using snoc, one can express directly the additivity of a
multilinear map along the first variable.
In the specific case of multilinear maps on spaces indexed by Fin (n+1), where one can build
an element of ∀ (i : Fin (n+1)), M i using cons, one can express directly the multiplicativity
of a multilinear map along the first variable.
If g is a multilinear map and f is a collection of linear maps,
then g (f₁ m₁, ..., fₙ mₙ) is again a multilinear map, that we call
g.compLinearMap f.
Equations
- g.compLinearMap f = { toFun := fun (m : (i : ι) → M₁ i) => g fun (i : ι) => (f i) (m i), map_add' := ⋯, map_smul' := ⋯ }
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Composing a multilinear map twice with a linear map in each argument is the same as composing with their composition.
Composing the zero multilinear map with a linear map in each argument.
Composing a multilinear map with the identity linear map in each argument.
Composing with a family of surjective linear maps is injective.
Composing a multilinear map with a linear equiv on each argument gives the zero map if and only if the multilinear map is the zero map.
If one adds to a vector m' another vector m, but only for coordinates in a finset t, then
the image under a multilinear map f is the sum of f (s.piecewise m m') along all subsets s of
t. This is mainly an auxiliary statement to prove the result when t = univ, given in
map_add_univ, although it can be useful in its own right as it does not require the index set ι
to be finite.
Additivity of a multilinear map along all coordinates at the same time,
writing f (m + m') as the sum of f (s.piecewise m m') over all sets s.
If f is multilinear, then f (Σ_{j₁ ∈ A₁} g₁ j₁, ..., Σ_{jₙ ∈ Aₙ} gₙ jₙ) is the sum of
f (g₁ (r 1), ..., gₙ (r n)) where r ranges over all functions with r 1 ∈ A₁, ...,
r n ∈ Aₙ. This follows from multilinearity by expanding successively with respect to each
coordinate. Here, we give an auxiliary statement tailored for an inductive proof. Use instead
map_sum_finset.
If f is multilinear, then f (Σ_{j₁ ∈ A₁} g₁ j₁, ..., Σ_{jₙ ∈ Aₙ} gₙ jₙ) is the sum of
f (g₁ (r 1), ..., gₙ (r n)) where r ranges over all functions with r 1 ∈ A₁, ...,
r n ∈ Aₙ. This follows from multilinearity by expanding successively with respect to each
coordinate.
If f is multilinear, then f (Σ_{j₁} g₁ j₁, ..., Σ_{jₙ} gₙ jₙ) is the sum of
f (g₁ (r 1), ..., gₙ (r n)) where r ranges over all functions r. This follows from
multilinearity by expanding successively with respect to each coordinate.
Restrict the codomain of a multilinear map to a submodule.
This is the multilinear version of LinearMap.codRestrict.
Equations
- f.codRestrict p h = { toFun := fun (v : (i : ι) → M₁ i) => ⟨f v, ⋯⟩, map_add' := ⋯, map_smul' := ⋯ }
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Reinterpret an A-multilinear map as an R-multilinear map, if A is an algebra over R
and their actions on all involved modules agree with the action of R on A.
Equations
- MultilinearMap.restrictScalars R f = { toFun := ⇑f, map_add' := ⋯, map_smul' := ⋯ }
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Transfer the arguments to a map along an equivalence between argument indices.
The naming is derived from Finsupp.domCongr, noting that here the permutation applies to the
domain of the domain.
Equations
- MultilinearMap.domDomCongr σ m = { toFun := fun (v : ι₂ → M₂) => m fun (i : ι₁) => v (σ i), map_add' := ⋯, map_smul' := ⋯ }
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MultilinearMap.domDomCongr as an equivalence.
This is declared separately because it does not work with dot notation.
Equations
- MultilinearMap.domDomCongrEquiv σ = { toFun := MultilinearMap.domDomCongr σ, invFun := MultilinearMap.domDomCongr σ.symm, left_inv := ⋯, right_inv := ⋯, map_add' := ⋯ }
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The results of applying domDomCongr to two maps are equal if
and only if those maps are.
If {a // P a} is a subtype of ι and if we fix an element z of (i : {a // ¬ P a}) → M₁ i,
then a multilinear map on M₁ defines a multilinear map on the restriction of M₁ to
{a // P a}, by fixing the arguments out of {a // P a} equal to the values of z.
Given a multilinear map f on (i : ι) → M i, a (decidable) predicate P on ι and
an element z of (i : {a // ¬ P a}) → M₁ i, construct a multilinear map on
(i : {a // P a}) → M₁ i) whose value at x is f evaluated at the vector with ith coordinate
x i if P i and z i otherwise.
The naming is similar to MultilinearMap.domDomCongr: here we are applying the restriction to the
domain of the domain.
For a linear map version, see MultilinearMap.domDomRestrictₗ.
Equations
- f.domDomRestrict P z = { toFun := fun (x : (i : { a : ι // P a }) → M₁ ↑i) => f fun (j : ι) => if h : P j then x ⟨j, h⟩ else z ⟨j, h⟩, map_add' := ⋯, map_smul' := ⋯ }
Instances For
The "derivative" of a multilinear map, as a linear map from (i : ι) → M₁ i to M₂.
For continuous multilinear maps, this will indeed be the derivative.
Equations
- f.linearDeriv x = ∑ i : ι, f.toLinearMap x i ∘ₗ LinearMap.proj i
Instances For
Composing a multilinear map with a linear map gives again a multilinear map.
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The multilinear version of LinearMap.subtype_comp_codRestrict
The multilinear version of LinearMap.comp_codRestrict
Equations
- MultilinearMap.instDistribMulActionOfSMulCommClass = Function.Injective.distribMulAction MultilinearMap.coeAddMonoidHom ⋯ ⋯
The space of multilinear maps over an algebra over R is a module over R, for the pointwise
addition and scalar multiplication.
Equations
- MultilinearMap.instModule = Function.Injective.module S MultilinearMap.coeAddMonoidHom ⋯ ⋯
Equations
- ⋯ = ⋯
Linear equivalence between linear maps M₂ →ₗ[R] M₃
and one-multilinear maps MultilinearMap R (fun _ : ι ↦ M₂) M₃.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The dependent version of MultilinearMap.domDomCongrLinearEquiv.
Equations
- One or more equations did not get rendered due to their size.
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The space of constant maps is equivalent to the space of maps that are multilinear with respect to an empty family.
Equations
- One or more equations did not get rendered due to their size.
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MultilinearMap.domDomCongr as a LinearEquiv.
Equations
- One or more equations did not get rendered due to their size.
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Given a predicate P, one may associate to a multilinear map f a multilinear map
from the elements satisfying P to the multilinear maps on elements not satisfying P.
In other words, splitting the variables into two subsets one gets a multilinear map into
multilinear maps.
This is a linear map version of the function MultilinearMap.domDomRestrict.
Equations
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One of the components of the iterated derivative of a multilinear map. Given a bijection e
between a type α (typically Fin k) and a subset s of ι, this component is a multilinear map
of k vectors v₁, ..., vₖ, mapping them to f (x₁, (v_{e.symm 2})₂, x₃, ...), where at
indices i in s one uses the i-th coordinate of the vector v_{e.symm i} and otherwise one
uses the i-th coordinate of a reference vector x.
This is multilinear in the components of x outside of s, and in the v_j.
Equations
- One or more equations did not get rendered due to their size.
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The k-th iterated derivative of a multilinear map f at the point x. It is a multilinear
map of k vectors v₁, ..., vₖ (with the same type as x), mapping them
to ∑ f (x₁, (v_{i₁})₂, x₃, ...), where at each index j one uses either xⱼ or one
of the (vᵢ)ⱼ, and each vᵢ has to be used exactly once.
The sum is parameterized by the embeddings of Fin k in the index type ι (or, equivalently,
by the subsets s of ι of cardinality k and then the bijections between Fin k and s).
For the continuous version, see ContinuousMultilinearMap.iteratedFDeriv.
Equations
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If f is a collection of linear maps, then the construction MultilinearMap.compLinearMap
sending a multilinear map g to g (f₁ ⬝ , ..., fₙ ⬝ ) is linear in g.
Equations
- MultilinearMap.compLinearMapₗ f = { toFun := fun (g : MultilinearMap R M₁' M₂) => g.compLinearMap f, map_add' := ⋯, map_smul' := ⋯ }
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If f is a collection of linear maps, then the construction MultilinearMap.compLinearMap
sending a multilinear map g to g (f₁ ⬝ , ..., fₙ ⬝ ) is linear in g and multilinear in
f₁, ..., fₙ.
Equations
- MultilinearMap.compLinearMapMultilinear = { toFun := MultilinearMap.compLinearMapₗ, map_add' := ⋯, map_smul' := ⋯ }
Instances For
Let M₁ᵢ and M₁ᵢ' be two families of R-modules and M₂ an R-module.
Let us denote Π i, M₁ᵢ and Π i, M₁ᵢ' by M and M' respectively.
If g is a multilinear map M' → M₂, then g can be reinterpreted as a multilinear
map from Π i, M₁ᵢ ⟶ M₁ᵢ' to M ⟶ M₂ via (fᵢ) ↦ v ↦ g(fᵢ vᵢ).
Equations
- One or more equations did not get rendered due to their size.
Instances For
If one multiplies by c i the coordinates in a finset s, then the image under a multilinear
map is multiplied by ∏ i ∈ s, c i. This is mainly an auxiliary statement to prove the result when
s = univ, given in map_smul_univ, although it can be useful in its own right as it does not
require the index set ι to be finite.
Multiplicativity of a multilinear map along all coordinates at the same time,
writing f (fun i => c i • m i) as (∏ i, c i) • f m.
Given an R-algebra A, mkPiAlgebra is the multilinear map on A^ι associating
to m the product of all the m i.
See also MultilinearMap.mkPiAlgebraFin for a version that works with a non-commutative
algebra A but requires ι = Fin n.
Equations
- MultilinearMap.mkPiAlgebra R ι A = { toFun := fun (m : ι → A) => ∏ i : ι, m i, map_add' := ⋯, map_smul' := ⋯ }
Instances For
Given an R-algebra A, mkPiAlgebraFin is the multilinear map on A^n associating
to m the product of all the m i.
See also MultilinearMap.mkPiAlgebra for a version that assumes [CommSemiring A] but works
for A^ι with any finite type ι.
Equations
- MultilinearMap.mkPiAlgebraFin R n A = { toFun := fun (m : Fin n → A) => (List.ofFn m).prod, map_add' := ⋯, map_smul' := ⋯ }
Instances For
Given an R-multilinear map f taking values in R, f.smulRight z is the map
sending m to f m • z.
Equations
- f.smulRight z = (LinearMap.id.smulRight z).compMultilinearMap f
Instances For
The canonical multilinear map on R^ι when ι is finite, associating to m the product of
all the m i (multiplied by a fixed reference element z in the target module). See also
mkPiAlgebra for a more general version.
Equations
- MultilinearMap.mkPiRing R ι z = (MultilinearMap.mkPiAlgebra R ι R).smulRight z
Instances For
Equations
- MultilinearMap.instNeg = { neg := fun (f : MultilinearMap R M₁ M₂) => { toFun := fun (m : (i : ι) → M₁ i) => -f m, map_add' := ⋯, map_smul' := ⋯ } }
Equations
- MultilinearMap.instSub = { sub := fun (f g : MultilinearMap R M₁ M₂) => { toFun := fun (m : (i : ι) → M₁ i) => f m - g m, map_add' := ⋯, map_smul' := ⋯ } }
Equations
- MultilinearMap.instAddCommGroup = AddCommGroup.mk ⋯
This calculates the differences between the values of a multilinear map at
two arguments that differ on a finset s of ι. It requires a
linear order on ι in order to express the result.
This expresses the difference between the values of a multilinear map
at two points "close to x" in terms of the "derivative" of the multilinear map at x
and of "second-order" terms.
When ι is finite, multilinear maps on R^ι with values in M₂ are in bijection with M₂,
as such a multilinear map is completely determined by its value on the constant vector made of ones.
We register this bijection as a linear equivalence in MultilinearMap.piRingEquiv.
Equations
- One or more equations did not get rendered due to their size.
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Currying #
We associate to a multilinear map in n+1 variables (i.e., based on Fin n.succ) two
curried functions, named f.curryLeft (which is a linear map on E 0 taking values
in multilinear maps in n variables) and f.curryRight (which is a multilinear map in n
variables taking values in linear maps on E 0). In both constructions, the variable that is
singled out is 0, to take advantage of the operations cons and tail on Fin n.
The inverse operations are called uncurryLeft and uncurryRight.
We also register linear equiv versions of these correspondences, in
multilinearCurryLeftEquiv and multilinearCurryRightEquiv.
Left currying #
Given a linear map f from M 0 to multilinear maps on n variables,
construct the corresponding multilinear map on n+1 variables obtained by concatenating
the variables, given by m ↦ f (m 0) (tail m)
Equations
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Given a multilinear map f in n+1 variables, split the first variable to obtain
a linear map into multilinear maps in n variables, given by x ↦ (m ↦ f (cons x m)).
Equations
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The space of multilinear maps on Π (i : Fin (n+1)), M i is canonically isomorphic to
the space of linear maps from M 0 to the space of multilinear maps on
Π (i : Fin n), M i.succ, by separating the first variable. We register this isomorphism as a
linear isomorphism in multilinearCurryLeftEquiv R M M₂.
The direct and inverse maps are given by f.curryLeft and f.uncurryLeft. Use these
unless you need the full framework of linear equivs.
Equations
- multilinearCurryLeftEquiv R M M₂ = { toFun := MultilinearMap.curryLeft, map_add' := ⋯, map_smul' := ⋯, invFun := LinearMap.uncurryLeft, left_inv := ⋯, right_inv := ⋯ }
Instances For
Right currying #
Given a multilinear map f in n variables to the space of linear maps from M (last n) to
M₂, construct the corresponding multilinear map on n+1 variables obtained by concatenating
the variables, given by m ↦ f (init m) (m (last n))
Equations
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Given a multilinear map f in n+1 variables, split the last variable to obtain
a multilinear map in n variables taking values in linear maps from M (last n) to M₂, given by
m ↦ (x ↦ f (snoc m x)).
Equations
- One or more equations did not get rendered due to their size.
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The space of multilinear maps on Π (i : Fin (n+1)), M i is canonically isomorphic to
the space of linear maps from the space of multilinear maps on Π (i : Fin n), M (castSucc i) to
the space of linear maps on M (last n), by separating the last variable. We register this
isomorphism as a linear isomorphism in multilinearCurryRightEquiv R M M₂.
The direct and inverse maps are given by f.curryRight and f.uncurryRight. Use these
unless you need the full framework of linear equivs.
Equations
- multilinearCurryRightEquiv R M M₂ = { toFun := MultilinearMap.curryRight, map_add' := ⋯, map_smul' := ⋯, invFun := MultilinearMap.uncurryRight, left_inv := ⋯, right_inv := ⋯ }
Instances For
A multilinear map on ∀ i : ι ⊕ ι', M' defines a multilinear map on ∀ i : ι, M'
taking values in the space of multilinear maps on ∀ i : ι', M'.
Equations
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A multilinear map on ∀ i : ι, M' taking values in the space of multilinear maps
on ∀ i : ι', M' defines a multilinear map on ∀ i : ι ⊕ ι', M'.
Equations
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Linear equivalence between the space of multilinear maps on ∀ i : ι ⊕ ι', M' and the space
of multilinear maps on ∀ i : ι, M' taking values in the space of multilinear maps
on ∀ i : ι', M'.
Equations
- MultilinearMap.currySumEquiv R ι M₂ M' ι' = { toFun := MultilinearMap.currySum, map_add' := ⋯, map_smul' := ⋯, invFun := MultilinearMap.uncurrySum, left_inv := ⋯, right_inv := ⋯ }
Instances For
If s : Finset (Fin n) is a finite set of cardinality k and its complement has cardinality
l, then the space of multilinear maps on fun i : Fin n => M' is isomorphic to the space of
multilinear maps on fun i : Fin k => M' taking values in the space of multilinear maps
on fun i : Fin l => M'.
Equations
- MultilinearMap.curryFinFinset R M₂ M' hk hl = (MultilinearMap.domDomCongrLinearEquiv R R M' M₂ (finSumEquivOfFinset hk hl).symm).trans (MultilinearMap.currySumEquiv R (Fin k) M₂ M' (Fin l))
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The pushforward of an indexed collection of submodule p i ⊆ M₁ i by f : M₁ → M₂.
Note that this is not a submodule - it is not closed under addition.
Instances For
The map is always nonempty. This lemma is needed to apply SubMulAction.zero_mem.
The range of a multilinear map, closed under scalar multiplication.