Module mathcomp.algebra.vector
From HB Require Import structures.From mathcomp Require Import ssreflect ssrfun ssrbool eqtype ssrnat seq choice.
From mathcomp Require Import fintype tuple finfun bigop nmodule.
From mathcomp Require Import rings_modules_and_algebras divalg matrix mxalgebra.
Finite dimensional vector spaces
NB: See CONTRIBUTING.md for an introduction to HB concepts and commands.
semiVectType R == interface structure for finite dimensional (more
precisely, detachable) semi-vector spaces over R,
which should be at least a nzSemiRingType
The HB class is called SemiVector.
vectType R == interface structure for finite dimensional (more
precisely, detachable) vector spaces over R, which
should be at least a nzRingType
The HB class is called Vector.
nzSemiVectType R == proper semi-vector spaces over R, i.e.,
semiVectType R whose dimensions are non-zero
The HB class is called NzSemiVector.
nzVectType R == proper vector spaces over R, i.e., vectType R
whose dimensions are non-zero
The HB class is called NzVector.
SemiVector.axiom n M <-> type M is semilinearly isomorphic to 'rV_n
:= there is a bijection v2r : M -> 'rV_n that is
semilinear
Vector.axiom n M <-> type M is linearly isomorphic to 'rV_n
:= {v2r : M -> 'rV_n| linear v2r & bijective v2r}
{vspace vT} == the type of (detachable) subspaces of vT; vT
should have a vectType structure over a fieldType
subvs_of U == the subtype of elements of V in the subspace U
This is canonically a vectType.
vsval u == linear injection of u : subvs_of U into V
vsproj U v == linear projection of v : V in subvs U
rVof e v == row vector in 'rV_(\dim vT) of coordinates of
v : vT in the basis e
vecof e v == vector in vT whose coordinates in the basis e are
given by v : 'rV_(\dim vT)
Note that this is the inverse of rVof.
mxof e e' f == \dim uT * \dim vT matrix of the linear function
f : 'Hom(uT, vT) in the bases e of uT and e' of vT,
acting on row vectors
hommx e f M == linear function in 'Hom(uT, vT) whose matrix
in the bases e and f is M : 'M_(\dim uT, \dim vT)
Note that this is the inverse of mxof.
vsof e M == the subspace of vT generated by the rows of M,
seen as coordinates in the basis e
msof e U == matrix whose rows, seen as coordinates in the
basis e, generate the subspace U of vT
Note that this is the inverse of vsof.
'Hom(aT, rT) == the type of linear functions (homomorphisms) from
aT to rT, where aT and rT are vectType structures
Elements of 'Hom(aT, rT) coerce to Coq functions.
linfun f == a vector linear function in 'Hom(aT, rT) that
coincides with f : aT -> rT when f is linear
'End(vT) == endomorphisms of vT (:= 'Hom(vT, vT))
--> The types subvs_of U, 'Hom(aT, rT), 'End(vT), K^o, 'M[K]_(m, n),
vT * wT, {ffun I -> vT}, vT ^ n all have canonical vectType instances.
Functions:
<[v]>%VS == the vector space generated by v (a line if v != 0)
0%VS == the trivial vector subspace
fullv, {:vT} == the complete vector subspace (displays as fullv)
(U + V)%VS == the join (sum) of two subspaces U and V
(U :&: V)%VS == intersection of vector subspaces U and V
(U^C)%VS == a complement of the vector subspace U
(U :\: V)%VS == a local complement to U :& V in the subspace U
\dim U == dimension of a vector space U
span X, <<X>>%VS == the subspace spanned by the vector sequence X
coord X i v == i'th coordinate of v on X, when v \in <<X>>%VS and
where X : n.-tuple vT and i : 'I_n
Note that coord X i is a scalar function.
vpick U == a nonzero element of U if U= 0%VS, or 0 if U = 0
vbasis U == a (\dim U).-tuple that is a basis of U
\1%VF == the identity linear function
(f \o g)%VF == the composite of two linear functions f and g
(f^-1)%VF == a linear function that is a right inverse to the
linear function f on the codomain of f
(f @: U)%VS == the image of U by the linear function f
(f @^-1: U)%VS == the pre-image of U by the linear function f
lker f == the kernel of the linear function f
limg f == the image of the linear function f
fixedSpace f == the fixed space of a linear endomorphism f
daddv_pi U V == projection onto U along V if U and V are disjoint;
daddv_pi U V + daddv_pi V U is then a projection
onto the direct sum (U + V)%VS
projv U == projection onto U (along U^C, := daddv_pi U U^C)
addv_pi1 U V == projection onto the subspace U :\: V of U along V
addv_pi2 U V == projection onto V along U :\: V; note that
addv_pi1 U V and addv_pi2 U V are (asymmetrical)
complementary projections on (U + V)%VS
sumv_pi_for defV i == for defV : V = (V \sum_(j <- r | P j) Vs j)%VS,
j ranging over an eqType, this is a projection on
a subspace of Vs i, along a complement in V, such
that \sum_(j <- r | P j) sumv_pi_for defV j is a
projection onto V if filter P r is duplicate-free
(e.g., when V := \sum_(j | P j) Vs j)
sumv_pi V i == notation the above when defV == erefl V, and V is
convertible to \sum_(j <- r | P j) Vs j)%VS
leigenspace f a == linear eigenspace of the linear function f for
the (potential) eigenvalue a
Predicates:
v \in U == v belongs to U (:= (<[v]> <= U)%VS)
(U <= V)%VS == U is a subspace of V
free B == B is a sequence of nonzero linearly independent
vectors
basis_of U b == b is a basis of the subspace U
directv S == S is the expression for a direct sum of subspaces
leigenvalue f a == a is a linear eigenvalue of the linear function f
Set Implicit Arguments.
Unset Strict Implicit.
Unset Printing Implicit Defensive.
Declare Scope vspace_scope.
Declare Scope lfun_scope.
Local Open Scope ring_scope.
Reserved Notation "{ 'vspace' T }" (format "{ 'vspace' T }").
Reserved Notation "''Hom' ( T , rT )" (format "''Hom' ( T , rT )").
Reserved Notation "''End' ( T )" (format "''End' ( T )").
Reserved Notation "\dim A" (at level 10, A at level 8, format "\dim A").
Delimit Scope vspace_scope with VS.
Import GRing.Theory.
Record semivector_axiom_def (R : nzSemiRingType) n (V : lSemiModType R) := {
v2r : V -> 'rV[R]_n;
v2r_semilinear : semilinear v2r;
v2r_bijective : bijective v2r }.
Arguments semivector_axiom_def [R] n%_N V%_type.
Definition vector_axiom_def (R : nzRingType) n (V : lmodType R) :=
{v2r : V -> 'rV[R]_n | linear v2r & bijective v2r}.
Arguments vector_axiom_def [R] n%_N V%_type.
HB.mixin Record LSemiModule_hasFinDim (R : nzSemiRingType) (V : Type)
& GRing.LSemiModule R V :=
{ dim : nat;
vector_subdef : semivector_axiom_def dim V }.
#[mathcomp(axiom="semivector_axiom_def"), short(type="semiVectType")]
HB.structure Definition SemiVector (R : nzSemiRingType) :=
{ V of LSemiModule_hasFinDim R V & GRing.LSemiModule R V }.
#[mathcomp(axiom="vector_axiom_def"), short(type="vectType")]
HB.structure Definition Vector (R : nzRingType) :=
{ V of LSemiModule_hasFinDim R V & GRing.Lmodule R V }.
HB.mixin Record SemiVector_isProper (R : nzSemiRingType) (V : Type)
& SemiVector R V :=
{ dim_gt0 : 0 < @dim R V }.
#[short(type="nzSemiVectType")]
HB.structure Definition NzSemiVector (R : nzSemiRingType) :=
{ V of SemiVector R V & SemiVector_isProper R V }.
#[short(type="nzVectType")]
HB.structure Definition NzVector (R : nzRingType) :=
{ V of Vector R V & SemiVector_isProper R V }.
#[deprecated(since="mathcomp 2.2.0", use=Vector.axiom)]
Notation vector_axiom := Vector.axiom.
Arguments dim {R} s.
HB.factory Record Lmodule_hasFinDim (R : nzRingType) (V : Type)
& GRing.Lmodule R V :=
{ dim : nat;
vector_subdef : vector_axiom_def dim V }.
HB.builders Context R V & Lmodule_hasFinDim R V.
Definition v2r := sval vector_subdef.
HB.instance Definition _ :=
GRing.isLinear.Build R V 'rV_dim _ v2r (proj1 (proj2_sig vector_subdef)).
HB.instance Definition _ :=
LSemiModule_hasFinDim.Build R V
(Build_semivector_axiom_def
(semilinearP v2r) (proj2 (proj2_sig vector_subdef))).
HB.end.
Section OtherDefs.
Local Coercion dim : semiVectType >-> nat.
Inductive space (K : fieldType) (vT : vectType K) :=
Space (mx : 'M[K]_vT) & <<mx>>%MS == mx.
Inductive hom (R : nzSemiRingType) (vT wT : semiVectType R) :=
Hom of 'M[R]_(vT, wT).
End OtherDefs.
Module Import VectorExports.
Bind Scope ring_scope with Vector.sort.
Arguments space [K] vT%_type.
Notation "{ 'vspace' vT }" := (space vT) : type_scope.
Notation "''Hom' ( aT , rT )" := (hom aT rT) : type_scope.
Notation "''End' ( vT )" := (hom vT vT) : type_scope.
Prenex Implicits Hom.
Delimit Scope vspace_scope with VS.
Bind Scope vspace_scope with space.
Delimit Scope lfun_scope with VF.
Bind Scope lfun_scope with hom.
End VectorExports.
Module VectorInternalTheory.
Section Iso.
Variables (R : nzSemiRingType) (vT rT : semiVectType R).
Local Coercion dim : semiVectType >-> nat.
Fact v2r_subproof : SemiVector.axiom vT vT
Proof.
Let v2r_bij : bijective v2r := v2r_bijective v2r_subproof.
Fact r2v_subproof : {r2v | cancel r2v v2r}.
Proof.
Lemma r2vK : cancel r2v v2r
Proof.
Lemma v2rK : cancel v2r r2v
Proof.
HB.instance Definition _ := GRing.isSemilinear.Build R vT 'rV_vT _ v2r
(v2r_semilinear v2r_subproof).
HB.instance Definition _ := GRing.isSemilinear.Build R 'rV_vT vT _ r2v
(can2_semilinear v2rK r2vK).
End Iso.
Section Vspace.
Variables (K : fieldType) (vT : vectType K).
Local Coercion dim : semiVectType >-> nat.
Definition b2mx n (X : n.-tuple vT) := \matrix_i v2r (tnth X i).
Lemma b2mxK n (X : n.-tuple vT) i : r2v (row i (b2mx X)) = X`_i.
Definition vs2mx (U : @space K vT) := let: Space mx _ := U in mx.
Lemma gen_vs2mx (U : {vspace vT}) : <<vs2mx U>>%MS = vs2mx U.
Fact mx2vs_subproof m (A : 'M[K]_(m, vT)) : <<(<<A>>)>>%MS == <<A>>%MS.
Proof.
HB.instance Definition _ := [isSub of {vspace vT} for vs2mx].
Lemma vs2mxK : cancel vs2mx mx2vs.
Lemma mx2vsK m (M : 'M_(m, vT)) : (vs2mx (mx2vs M) :=: M)%MS.
Proof.
Section Hom.
Variables (R : nzSemiRingType) (aT rT : semiVectType R).
Definition f2mx (f : 'Hom(aT, rT)) := let: Hom A := f in A.
HB.instance Definition _ : isSub _ _ 'Hom(aT, rT) := [isNew for f2mx].
End Hom.
Arguments mx2vs {K vT m%_N} A%_MS.
Prenex Implicits v2r r2v v2rK r2vK b2mx vs2mx vs2mxK f2mx.
End VectorInternalTheory.
Export VectorExports.
Import VectorInternalTheory.
Section VspaceDefs.
Variables (K : fieldType) (vT : vectType K).
Implicit Types (u : vT) (X : seq vT) (U V : {vspace vT}).
HB.instance Definition _ := [Choice of {vspace vT} by <:].
Definition dimv U := \rank (vs2mx U).
Definition subsetv U V := (vs2mx U <= vs2mx V)%MS.
Definition vline u := mx2vs (v2r u).
Definition pred_of_vspace (U : space vT) : {pred vT} :=
fun v => (vs2mx (vline v) <= vs2mx U)%MS.
Canonical vspace_predType := @PredType _ (unkeyed {vspace vT}) pred_of_vspace.
Definition fullv : {vspace vT} := mx2vs 1%:M.
Definition addv U V := mx2vs (vs2mx U + vs2mx V).
Definition capv U V := mx2vs (vs2mx U :&: vs2mx V).
Definition complv U := mx2vs (vs2mx U)^C.
Definition diffv U V := mx2vs (vs2mx U :\: vs2mx V).
Definition vpick U := r2v (nz_row (vs2mx U)).
Fact span_key : unit
Proof.
by []. Qed.
Definition span := locked_with span_key span_expanded_def.
Canonical span_unlockable := [unlockable fun span].
Definition vbasis_def U :=
[tuple r2v (row i (row_base (vs2mx U))) | i < dimv U].
Definition vbasis := locked_with span_key vbasis_def.
Canonical vbasis_unlockable := [unlockable fun vbasis].
Definition free X := dimv (span X) == size X.
Definition basis_of U X := (span X == U) && free X.
End VspaceDefs.
Coercion pred_of_vspace : space >-> pred_sort.
Notation "\dim U" := (dimv U) : nat_scope.
Notation "U <= V" := (subsetv U V) : vspace_scope.
Notation "U <= V <= W" := (subsetv U V && subsetv V W) : vspace_scope.
Notation "<[ v ] >" := (vline v) : vspace_scope.
Notation "<< X >>" := (span X) : vspace_scope.
Notation "0" := (vline 0) : vspace_scope.
Arguments fullv {K vT}.
Prenex Implicits subsetv addv capv complv diffv span free basis_of.
Notation "U + V" := (addv U V) : vspace_scope.
Notation "U :&: V" := (capv U V) : vspace_scope.
Notation "U ^C" := (complv U) : vspace_scope.
Notation "U :\: V" := (diffv U V) : vspace_scope.
Notation "{ : vT }" := (@fullv _ vT) (only parsing) : vspace_scope.
Notation "\sum_ ( i <- r | P ) U" :=
(\big[addv/0%VS]_(i <- r | P%B) U%VS) : vspace_scope.
Notation "\sum_ ( i <- r ) U" :=
(\big[addv/0%VS]_(i <- r) U%VS) : vspace_scope.
Notation "\sum_ ( m <= i < n | P ) U" :=
(\big[addv/0%VS]_(m <= i < n | P%B) U%VS) : vspace_scope.
Notation "\sum_ ( m <= i < n ) U" :=
(\big[addv/0%VS]_(m <= i < n) U%VS) : vspace_scope.
Notation "\sum_ ( i | P ) U" :=
(\big[addv/0%VS]_(i | P%B) U%VS) : vspace_scope.
Notation "\sum_ i U" :=
(\big[addv/0%VS]_i U%VS) : vspace_scope.
Notation "\sum_ ( i : t | P ) U" :=
(\big[addv/0%VS]_(i : t | P%B) U%VS) (only parsing) : vspace_scope.
Notation "\sum_ ( i : t ) U" :=
(\big[addv/0%VS]_(i : t) U%VS) (only parsing) : vspace_scope.
Notation "\sum_ ( i < n | P ) U" :=
(\big[addv/0%VS]_(i < n | P%B) U%VS) : vspace_scope.
Notation "\sum_ ( i < n ) U" :=
(\big[addv/0%VS]_(i < n) U%VS) : vspace_scope.
Notation "\sum_ ( i 'in' A | P ) U" :=
(\big[addv/0%VS]_(i in A | P%B) U%VS) : vspace_scope.
Notation "\sum_ ( i 'in' A ) U" :=
(\big[addv/0%VS]_(i in A) U%VS) : vspace_scope.
Notation "\bigcap_ ( i <- r | P ) U" :=
(\big[capv/fullv]_(i <- r | P%B) U%VS) : vspace_scope.
Notation "\bigcap_ ( i <- r ) U" :=
(\big[capv/fullv]_(i <- r) U%VS) : vspace_scope.
Notation "\bigcap_ ( m <= i < n | P ) U" :=
(\big[capv/fullv]_(m <= i < n | P%B) U%VS) : vspace_scope.
Notation "\bigcap_ ( m <= i < n ) U" :=
(\big[capv/fullv]_(m <= i < n) U%VS) : vspace_scope.
Notation "\bigcap_ ( i | P ) U" :=
(\big[capv/fullv]_(i | P%B) U%VS) : vspace_scope.
Notation "\bigcap_ i U" :=
(\big[capv/fullv]_i U%VS) : vspace_scope.
Notation "\bigcap_ ( i : t | P ) U" :=
(\big[capv/fullv]_(i : t | P%B) U%VS) (only parsing) : vspace_scope.
Notation "\bigcap_ ( i : t ) U" :=
(\big[capv/fullv]_(i : t) U%VS) (only parsing) : vspace_scope.
Notation "\bigcap_ ( i < n | P ) U" :=
(\big[capv/fullv]_(i < n | P%B) U%VS) : vspace_scope.
Notation "\bigcap_ ( i < n ) U" :=
(\big[capv/fullv]_(i < n) U%VS) : vspace_scope.
Notation "\bigcap_ ( i 'in' A | P ) U" :=
(\big[capv/fullv]_(i in A | P%B) U%VS) : vspace_scope.
Notation "\bigcap_ ( i 'in' A ) U" :=
(\big[capv/fullv]_(i in A) U%VS) : vspace_scope.
Section VectorTheory.
Variables (K : fieldType) (vT : vectType K).
Implicit Types (a : K) (u v w : vT) (X Y : seq vT) (U V W : {vspace vT}).
Local Notation subV := (@subsetv K vT) (only parsing).
Local Notation addV := (@addv K vT) (only parsing).
Local Notation capV := (@capv K vT) (only parsing).
Let vs2mxP U V : reflect (U = V) (vs2mx U == vs2mx V)%MS.
Let memvK v U : (v \in U) = (v2r v <= vs2mx U)%MS.
Proof.
Let mem_r2v rv U : (r2v rv \in U) = (rv <= vs2mx U)%MS.
Let vs2mx0 : @vs2mx K vT 0 = 0.
Let vs2mxD U V : vs2mx (U + V) = (vs2mx U + vs2mx V)%MS.
Proof.
Let vs2mx_sum := big_morph _ vs2mxD vs2mx0.
Let vs2mxI U V : vs2mx (U :&: V) = (vs2mx U :&: vs2mx V)%MS.
Let vs2mxF : vs2mx {:vT} = 1%:M.
Proof.
Let row_b2mx n (X : n.-tuple vT) i : row i (b2mx X) = v2r X`_i.
Let span_b2mx n (X : n.-tuple vT) : span X = mx2vs (b2mx X).
Let mul_b2mx n (X : n.-tuple vT) (rk : 'rV_n) :
\sum_i rk 0 i *: X`_i = r2v (rk *m b2mx X).
Proof.
Let lin_b2mx n (X : n.-tuple vT) k :
\sum_(i < n) k i *: X`_i = r2v (\row_i k i *m b2mx X).
Let free_b2mx n (X : n.-tuple vT) : free X = row_free (b2mx X).
Proof.
Lemma memvE v U : (v \in U) = (<[v]> <= U)%VS
Proof.
by []. Qed.
Lemma vlineP v1 v2 : reflect (exists k, v1 = k *: v2) (v1 \in <[v2]>)%VS.
Proof.
Fact memv_submod_closed U : submod_closed U.
Proof.
GRing.isSubmodClosed.Build K vT (pred_of_vspace U) (memv_submod_closed U).
Lemma mem0v U : 0 \in U
Proof.
Proof.
Proof.
Proof.
Proof.
Lemma memv_suml I r (P : pred I) vs U :
(forall i, P i -> vs i \in U) -> \sum_(i <- r | P i) vs i \in U.
Proof.
Lemma memv_line u : u \in <[u]>%VS.
Lemma subvP U V : reflect {subset U <= V} (U <= V)%VS.
Proof.
Lemma subvv U : (U <= U)%VS
Proof.
exact/subvP. Qed.
Lemma subv_trans : transitive subV.
Lemma subv_anti : antisymmetric subV.
Proof.
Lemma eqEsubv U V : (U == V) = (U <= V <= U)%VS.
Lemma vspaceP U V : U =i V <-> U = V.
Lemma subvPn {U V} : reflect (exists2 u, u \in U & u \notin V) (~~ (U <= V)%VS).
Proof.
Lemma sub0v U : (0 <= U)%VS.
Proof.
Lemma subv0 U : (U <= 0)%VS = (U == 0%VS).
Lemma memv0 v : (v \in 0%VS) = (v == 0).
Lemma subvf U : (U <= fullv)%VS
Lemma memvf v : v \in fullv
Proof.
Lemma memv_pick U : vpick U \in U
Proof.
Lemma vpick0 U : (vpick U == 0) = (U == 0%VS).
Lemma subv_add U V W : (U + V <= W)%VS = (U <= W)%VS && (V <= W)%VS.
Proof.
Lemma addvS U1 U2 V1 V2 : (U1 <= U2 -> V1 <= V2 -> U1 + V1 <= U2 + V2)%VS.
Lemma addvSl U V : (U <= U + V)%VS.
Lemma addvSr U V : (V <= U + V)%VS.
Lemma addvC : commutative addV.
Proof.
Lemma addvA : associative addV.
Proof.
Lemma addv_idPl {U V}: reflect (U + V = U)%VS (V <= U)%VS.
Lemma addv_idPr {U V} : reflect (U + V = V)%VS (U <= V)%VS.
Lemma addvv : idempotent_op addV.
Proof.
Lemma add0v : left_id 0%VS addV.
Lemma addv0 : right_id 0%VS addV.
Lemma sumfv : left_zero fullv addV.
Lemma addvf : right_zero fullv addV.
HB.instance Definition _ := Monoid.isComLaw.Build {vspace vT} 0%VS addv
addvA addvC add0v.
Lemma memv_add u v U V : u \in U -> v \in V -> u + v \in (U + V)%VS.
Proof.
Lemma memv_addP {w U V} :
reflect (exists2 u, u \in U & exists2 v, v \in V & w = u + v)
(w \in U + V)%VS.
Proof.
Section BigSum.
Variable I : finType.
Implicit Type P : pred I.
Lemma sumv_sup i0 P U Vs :
P i0 -> (U <= Vs i0)%VS -> (U <= \sum_(i | P i) Vs i)%VS.
Proof.
Lemma subv_sumP {P Us V} :
reflect (forall i, P i -> Us i <= V)%VS (\sum_(i | P i) Us i <= V)%VS.
Proof.
Lemma memv_sumr P vs (Us : I -> {vspace vT}) :
(forall i, P i -> vs i \in Us i) ->
\sum_(i | P i) vs i \in (\sum_(i | P i) Us i)%VS.
Lemma memv_sumP {P} {Us : I -> {vspace vT}} {v} :
reflect (exists2 vs, forall i, P i -> vs i \in Us i
& v = \sum_(i | P i) vs i)
(v \in \sum_(i | P i) Us i)%VS.
Proof.
End BigSum.
Lemma subv_cap U V W : (U <= V :&: W)%VS = (U <= V)%VS && (U <= W)%VS.
Lemma capvS U1 U2 V1 V2 : (U1 <= U2 -> V1 <= V2 -> U1 :&: V1 <= U2 :&: V2)%VS.
Lemma capvSl U V : (U :&: V <= U)%VS.
Lemma capvSr U V : (U :&: V <= V)%VS.
Lemma capvC : commutative capV.
Proof.
Lemma capvA : associative capV.
Proof.
Lemma capv_idPl {U V} : reflect (U :&: V = U)%VS (U <= V)%VS.
Lemma capv_idPr {U V} : reflect (U :&: V = V)%VS (V <= U)%VS.
Lemma capvv : idempotent_op capV.
Proof.
Lemma cap0v : left_zero 0%VS capV.
Lemma capv0 : right_zero 0%VS capV.
Lemma capfv : left_id fullv capV.
Lemma capvf : right_id fullv capV.
HB.instance Definition _ := Monoid.isComLaw.Build {vspace vT} fullv capv
capvA capvC capfv.
Lemma memv_cap w U V : (w \in U :&: V)%VS = (w \in U) && (w \in V).
Lemma memv_capP {w U V} : reflect (w \in U /\ w \in V) (w \in U :&: V)%VS.
Lemma vspace_modl U V W : (U <= W -> U + (V :&: W) = (U + V) :&: W)%VS.
Lemma vspace_modr U V W : (W <= U -> (U :&: V) + W = U :&: (V + W))%VS.
Proof.
Section BigCap.
Variable I : finType.
Implicit Type P : pred I.
Lemma bigcapv_inf i0 P Us V :
P i0 -> (Us i0 <= V -> \bigcap_(i | P i) Us i <= V)%VS.
Proof.
Lemma subv_bigcapP {P U Vs} :
reflect (forall i, P i -> U <= Vs i)%VS (U <= \bigcap_(i | P i) Vs i)%VS.
Proof.
apply: (iffP idP) => [sUV i Pi | sUV].
by rewrite (subv_trans sUV) ?(bigcapv_inf Pi).
by elim/big_rec: _ => [|i W Pi]; rewrite ?subvf // subv_cap sUV.
Qed.
by rewrite (subv_trans sUV) ?(bigcapv_inf Pi).
by elim/big_rec: _ => [|i W Pi]; rewrite ?subvf // subv_cap sUV.
Qed.
End BigCap.
Lemma addv_complf U : (U + U^C)%VS = fullv.
Proof.
apply/vs2mxP; rewrite vs2mxD -gen_vs2mx -genmx_adds !genmxE submx1 sub1mx.
exact: addsmx_compl_full.
Qed.
exact: addsmx_compl_full.
Qed.
Lemma capv_compl U : (U :&: U^C = 0)%VS.
Proof.
Lemma diffvSl U V : (U :\: V <= U)%VS.
Lemma capv_diff U V : ((U :\: V) :&: V = 0)%VS.
Proof.
Lemma addv_diff_cap U V : (U :\: V + U :&: V)%VS = U.
Proof.
Lemma addv_diff U V : (U :\: V + V = U + V)%VS.
Proof.
Lemma dimv0 : \dim (0%VS : {vspace vT}) = 0.
Lemma dimv_eq0 U : (\dim U == 0) = (U == 0%VS).
Lemma dimvf : \dim {:vT} = dim vT.
Lemma dim_vline v : \dim <[v]> = (v != 0).
Lemma dimvS U V : (U <= V)%VS -> \dim U <= \dim V.
Proof.
Lemma dimv_leqif_sup U V : (U <= V)%VS -> \dim U <= \dim V ?= iff (V <= U)%VS.
Proof.
Lemma dimv_leqif_eq U V : (U <= V)%VS -> \dim U <= \dim V ?= iff (U == V).
Proof.
Lemma eqEdim U V : (U == V) = (U <= V)%VS && (\dim V <= \dim U).
Proof.
Lemma dimv_compl U : \dim U^C = (\dim {:vT} - \dim U)%N.
Proof.
Lemma dimv_cap_compl U V : (\dim (U :&: V) + \dim (U :\: V))%N = \dim U.
Proof.
Lemma dimv_sum_cap U V : (\dim (U + V) + \dim (U :&: V) = \dim U + \dim V)%N.
Proof.
Lemma dimv_disjoint_sum U V :
(U :&: V = 0)%VS -> \dim (U + V) = (\dim U + \dim V)%N.
Proof.
Lemma dimv_add_leqif U V :
\dim (U + V) <= \dim U + \dim V ?= iff (U :&: V <= 0)%VS.
Proof.
Lemma diffv_eq0 U V : (U :\: V == 0)%VS = (U <= V)%VS.
Proof.
Lemma dimv_leq_sum I r (P : pred I) (Us : I -> {vspace vT}) :
\dim (\sum_(i <- r | P i) Us i) <= \sum_(i <- r | P i) \dim (Us i).
Proof.
Section SumExpr.
Structure addv_expr := Sumv {
addv_val :> wrapped {vspace vT};
addv_dim : wrapped nat;
_ : mxsum_spec (vs2mx (unwrap addv_val)) (unwrap addv_dim)
}.
Definition vs2mx_sum_expr_subproof (S : addv_expr) :
mxsum_spec (vs2mx (unwrap S)) (unwrap (addv_dim S)).
Proof.
by case: S. Qed.
Canonical trivial_addv U := @Sumv (Wrap U) (Wrap (\dim U)) (TrivialMxsum _).
Structure proper_addv_expr := ProperSumvExpr {
proper_addv_val :> {vspace vT};
proper_addv_dim :> nat;
_ : mxsum_spec (vs2mx proper_addv_val) proper_addv_dim
}.
Definition proper_addvP (S : proper_addv_expr) :=
let: ProperSumvExpr _ _ termS := S return mxsum_spec (vs2mx S) S in termS.
Canonical proper_addv (S : proper_addv_expr) :=
@Sumv (wrap (S : {vspace vT})) (wrap (S : nat)) (proper_addvP S).
Section Binary.
Variables S1 S2 : addv_expr.
Fact binary_addv_subproof :
mxsum_spec (vs2mx (unwrap S1 + unwrap S2))
(unwrap (addv_dim S1) + unwrap (addv_dim S2)).
Proof.
End Binary.
Section Nary.
Variables (I : Type) (r : seq I) (P : pred I) (S_ : I -> addv_expr).
Fact nary_addv_subproof :
mxsum_spec (vs2mx (\sum_(i <- r | P i) unwrap (S_ i)))
(\sum_(i <- r | P i) unwrap (addv_dim (S_ i))).
Proof.
End Nary.
Definition directv_def S & phantom {vspace vT} (unwrap (addv_val S)) :=
\dim (unwrap S) == unwrap (addv_dim S).
End SumExpr.
Local Notation directv A := (directv_def (Phantom {vspace _} A%VS)).
Lemma directvE (S : addv_expr) :
directv (unwrap S) = (\dim (unwrap S) == unwrap (addv_dim S)).
Proof.
by []. Qed.
Lemma directvP {S : proper_addv_expr} : reflect (\dim S = S :> nat) (directv S).
Proof.
Lemma directv_trivial U : directv (unwrap (@trivial_addv U)).
Proof.
Lemma dimv_sum_leqif (S : addv_expr) :
\dim (unwrap S) <= unwrap (addv_dim S) ?= iff directv (unwrap S).
Proof.
rewrite directvE; case: S => [[U] [d] /= defUd]; split=> //=.
rewrite /dimv; elim: {1}_ {U}_ d / defUd => // m1 m2 A1 A2 r1 r2 _ leA1 _ leA2.
by apply: leq_trans (leq_add leA1 leA2); rewrite mxrank_adds_leqif.
Qed.
rewrite /dimv; elim: {1}_ {U}_ d / defUd => // m1 m2 A1 A2 r1 r2 _ leA1 _ leA2.
by apply: leq_trans (leq_add leA1 leA2); rewrite mxrank_adds_leqif.
Qed.
Lemma directvEgeq (S : addv_expr) :
directv (unwrap S) = (\dim (unwrap S) >= unwrap (addv_dim S)).
Proof.
Section BinaryDirect.
Lemma directv_addE (S1 S2 : addv_expr) :
directv (unwrap S1 + unwrap S2)
= [&& directv (unwrap S1), directv (unwrap S2)
& unwrap S1 :&: unwrap S2 == 0]%VS.
Proof.
Lemma directv_addP {U V} : reflect (U :&: V = 0)%VS (directv (U + V)).
Proof.
Lemma directv_add_unique {U V} :
reflect (forall u1 u2 v1 v2, u1 \in U -> u2 \in U -> v1 \in V -> v2 \in V ->
(u1 + v1 == u2 + v2) = ((u1, v1) == (u2, v2)))
(directv (U + V)).
Proof.
apply: (iffP directv_addP) => [dxUV u1 u2 v1 v2 Uu1 Uu2 Vv1 Vv2 | dxUV].
apply/idP/idP=> [| /eqP[-> ->] //]; rewrite -subr_eq0 opprD addrACA addr_eq0.
move/eqP=> eq_uv; rewrite xpair_eqE -subr_eq0 eq_uv oppr_eq0 subr_eq0 andbb.
by rewrite -subr_eq0 -memv0 -dxUV memv_cap -memvN -eq_uv !memvB.
apply/eqP; rewrite -subv0; apply/subvP=> v /memv_capP[U1v U2v].
by rewrite memv0 -[v == 0]andbb {1}eq_sym -xpair_eqE -dxUV ?mem0v // addrC.
Qed.
apply/idP/idP=> [| /eqP[-> ->] //]; rewrite -subr_eq0 opprD addrACA addr_eq0.
move/eqP=> eq_uv; rewrite xpair_eqE -subr_eq0 eq_uv oppr_eq0 subr_eq0 andbb.
by rewrite -subr_eq0 -memv0 -dxUV memv_cap -memvN -eq_uv !memvB.
apply/eqP; rewrite -subv0; apply/subvP=> v /memv_capP[U1v U2v].
by rewrite memv0 -[v == 0]andbb {1}eq_sym -xpair_eqE -dxUV ?mem0v // addrC.
Qed.
End BinaryDirect.
Section NaryDirect.
Context {I : finType} {P : pred I}.
Lemma directv_sumP {Us : I -> {vspace vT}} :
reflect (forall i, P i -> Us i :&: (\sum_(j | P j && (j != i)) Us j) = 0)%VS
(directv (\sum_(i | P i) Us i)).
Proof.
Lemma directv_sumE {Ss : I -> addv_expr} (xunwrap := unwrap) :
reflect [/\ forall i, P i -> directv (unwrap (Ss i))
& directv (\sum_(i | P i) xunwrap (Ss i))]
(directv (\sum_(i | P i) unwrap (Ss i))).
Proof.
Lemma directv_sum_independent {Us : I -> {vspace vT}} :
reflect (forall us,
(forall i, P i -> us i \in Us i) -> \sum_(i | P i) us i = 0 ->
(forall i, P i -> us i = 0))
(directv (\sum_(i | P i) Us i)).
Proof.
apply: (iffP directv_sumP) => [dxU us Uu u_0 i Pi | dxU i Pi].
apply/eqP; rewrite -memv0 -(dxU i Pi) memv_cap Uu //= -memvN -sub0r -{1}u_0.
by rewrite (bigD1 i) //= [_ - us i]addrC addKr memv_sumr // => j /andP[/Uu].
apply/eqP; rewrite -subv0; apply/subvP=> v.
rewrite memv_cap memv0 => /andP[Uiv /memv_sumP[us Uu Dv]].
have: \sum_(j | P j) [eta us with i |-> - v] j = 0.
rewrite (bigD1 i) //= eqxx {1}Dv addrC -sumrB big1 // => j /andP[_ i'j].
by rewrite (negPf i'j) subrr.
move/dxU/(_ i Pi); rewrite /= eqxx -oppr_eq0 => -> // j Pj.
by have [-> | i'j] := eqVneq; rewrite ?memvN // Uu ?Pj.
Qed.
apply/eqP; rewrite -memv0 -(dxU i Pi) memv_cap Uu //= -memvN -sub0r -{1}u_0.
by rewrite (bigD1 i) //= [_ - us i]addrC addKr memv_sumr // => j /andP[/Uu].
apply/eqP; rewrite -subv0; apply/subvP=> v.
rewrite memv_cap memv0 => /andP[Uiv /memv_sumP[us Uu Dv]].
have: \sum_(j | P j) [eta us with i |-> - v] j = 0.
rewrite (bigD1 i) //= eqxx {1}Dv addrC -sumrB big1 // => j /andP[_ i'j].
by rewrite (negPf i'j) subrr.
move/dxU/(_ i Pi); rewrite /= eqxx -oppr_eq0 => -> // j Pj.
by have [-> | i'j] := eqVneq; rewrite ?memvN // Uu ?Pj.
Qed.
Lemma directv_sum_unique {Us : I -> {vspace vT}} :
reflect (forall us vs,
(forall i, P i -> us i \in Us i) ->
(forall i, P i -> vs i \in Us i) ->
(\sum_(i | P i) us i == \sum_(i | P i) vs i)
= [forall (i | P i), us i == vs i])
(directv (\sum_(i | P i) Us i)).
Proof.
apply: (iffP directv_sum_independent) => [dxU us vs Uu Uv | dxU us Uu u_0 i Pi].
apply/idP/forall_inP=> [|eq_uv]; last by apply/eqP/eq_bigr => i /eq_uv/eqP.
rewrite -subr_eq0 -sumrB => /eqP/dxU eq_uv i Pi.
by rewrite -subr_eq0 eq_uv // => j Pj; apply: memvB; move: j Pj.
apply/eqP; have:= esym (dxU us \0 Uu _); rewrite u_0 big1_eq eqxx.
by move/(_ _)/forall_inP=> -> // j _; apply: mem0v.
Qed.
apply/idP/forall_inP=> [|eq_uv]; last by apply/eqP/eq_bigr => i /eq_uv/eqP.
rewrite -subr_eq0 -sumrB => /eqP/dxU eq_uv i Pi.
by rewrite -subr_eq0 eq_uv // => j Pj; apply: memvB; move: j Pj.
apply/eqP; have:= esym (dxU us \0 Uu _); rewrite u_0 big1_eq eqxx.
by move/(_ _)/forall_inP=> -> // j _; apply: mem0v.
Qed.
End NaryDirect.
Lemma memv_span X v : v \in X -> v \in <<X>>%VS.
Lemma memv_span1 v : v \in <<[:: v]>>%VS.
Lemma dim_span X : \dim <<X>> <= size X.
Proof.
Lemma span_subvP {X U} : reflect {subset X <= U} (<<X>> <= U)%VS.
Proof.
Lemma sub_span X Y : {subset X <= Y} -> (<<X>> <= <<Y>>)%VS.
Proof.
Lemma eq_span X Y : X =i Y -> (<<X>> = <<Y>>)%VS.
Lemma span_def X : span X = (\sum_(u <- X) <[u]>)%VS.
Proof.
Lemma span_nil : (<<Nil vT>> = 0)%VS.
Lemma span_seq1 v : (<<[:: v]>> = <[v]>)%VS.
Lemma span_cons v X : (<<v :: X>> = <[v]> + <<X>>)%VS.
Lemma span_cat X Y : (<<X ++ Y>> = <<X>> + <<Y>>)%VS.
Definition coord_expanded_def n (X : n.-tuple vT) i v :=
(v2r v *m pinvmx (b2mx X)) 0 i.
Definition coord := locked_with span_key coord_expanded_def.
Canonical coord_unlockable := [unlockable fun coord].
Fact coord_is_scalar n (X : n.-tuple vT) i : scalar (coord X i).
HB.instance Definition _ n Xn i :=
GRing.isSemilinear.Build K vT K _ (coord Xn i)
(GRing.semilinear_linear (@coord_is_scalar n Xn i)).
Lemma coord_span n (X : n.-tuple vT) v :
v \in span X -> v = \sum_i coord X i v *: X`_i.
Lemma coord0 i v : coord [tuple 0] i v = 0.
Proof.
Lemma nil_free : free (Nil vT).
Lemma seq1_free v : free [:: v] = (v != 0).
Lemma perm_free X Y : perm_eq X Y -> free X = free Y.
Lemma free_directv X : free X = (0 \notin X) && directv (\sum_(v <- X) <[v]>).
Proof.
have leXi i (v := tnth (in_tuple X) i): true -> \dim <[v]> <= 1 ?= iff (v != 0).
by rewrite -seq1_free -span_seq1 => _; apply/leqif_eq/dim_span.
have [_ /=] := leqif_trans (dimv_sum_leqif _) (leqif_sum leXi).
rewrite sum1_card card_ord !directvE /= /free andbC span_def !(big_tnth _ _ X).
by congr (_ = _ && _); rewrite -has_pred1 -all_predC -big_all big_tnth big_andE.
Qed.
by rewrite -seq1_free -span_seq1 => _; apply/leqif_eq/dim_span.
have [_ /=] := leqif_trans (dimv_sum_leqif _) (leqif_sum leXi).
rewrite sum1_card card_ord !directvE /= /free andbC span_def !(big_tnth _ _ X).
by congr (_ = _ && _); rewrite -has_pred1 -all_predC -big_all big_tnth big_andE.
Qed.
Lemma free_not0 v X : free X -> v \in X -> v != 0.
Proof.
Lemma freeP n (X : n.-tuple vT) :
reflect (forall k, \sum_(i < n) k i *: X`_i = 0 -> (forall i, k i = 0))
(free X).
Proof.
rewrite free_b2mx; apply: (iffP idP) => [t_free k kt0 i | t_free].
suffices /rowP/(_ i): \row_i k i = 0 by rewrite !mxE.
by apply/(row_free_inj t_free)/r2v_inj; rewrite mul0mx -lin_b2mx kt0 linear0.
rewrite -kermx_eq0; apply/rowV0P=> rk /sub_kermxP kt0.
by apply/rowP=> i; rewrite mxE {}t_free // mul_b2mx kt0 linear0.
Qed.
suffices /rowP/(_ i): \row_i k i = 0 by rewrite !mxE.
by apply/(row_free_inj t_free)/r2v_inj; rewrite mul0mx -lin_b2mx kt0 linear0.
rewrite -kermx_eq0; apply/rowV0P=> rk /sub_kermxP kt0.
by apply/rowP=> i; rewrite mxE {}t_free // mul_b2mx kt0 linear0.
Qed.
Lemma coord_free n (X : n.-tuple vT) (i j : 'I_n) :
free X -> coord X j (X`_i) = (i == j)%:R.
Proof.
Lemma coord_sum_free n (X : n.-tuple vT) k j :
free X -> coord X j (\sum_(i < n) k i *: X`_i) = k j.
Proof.
move=> Xfree; rewrite linear_sum (bigD1 j) 1?linearZ //= coord_free // eqxx.
rewrite mulr1 big1 ?addr0 // => i /negPf j'i.
by rewrite linearZ /= coord_free // j'i mulr0.
Qed.
rewrite mulr1 big1 ?addr0 // => i /negPf j'i.
by rewrite linearZ /= coord_free // j'i mulr0.
Qed.
Lemma cat_free X Y :
free (X ++ Y) = [&& free X, free Y & directv (<<X>> + <<Y>>)].
Proof.
rewrite !free_directv mem_cat directvE /= !big_cat -directvE /= directv_addE /=.
rewrite negb_or -!andbA; do !bool_congr; rewrite -!span_def.
by rewrite (sameP eqP directv_addP).
Qed.
rewrite negb_or -!andbA; do !bool_congr; rewrite -!span_def.
by rewrite (sameP eqP directv_addP).
Qed.
Lemma catl_free Y X : free (X ++ Y) -> free X.
Lemma catr_free X Y : free (X ++ Y) -> free Y.
Lemma filter_free p X : free X -> free (filter p X).
Proof.
Lemma free_cons v X : free (v :: X) = (v \notin <<X>>)%VS && free X.
Proof.
Lemma freeE n (X : n.-tuple vT) :
free X = [forall i : 'I_n, X`_i \notin <<drop i.+1 X>>%VS].
Proof.
Lemma freeNE n (X : n.-tuple vT) :
~~ free X = [exists i : 'I_n, X`_i \in <<drop i.+1 X>>%VS].
Proof.
Lemma free_uniq X : free X -> uniq X.
Proof.
Lemma free_span X v (sumX := fun k => \sum_(x <- X) k x *: x) :
free X -> v \in <<X>>%VS ->
{k | v = sumX k & forall k1, v = sumX k1 -> {in X, k1 =1 k}}.
Proof.
rewrite -{2}[X]in_tupleE => freeX /coord_span def_v.
pose k x := oapp (fun i => coord (in_tuple X) i v) 0 (insub (index x X)).
exists k => [|k1 {}def_v _ /(nthP 0)[i ltiX <-]].
rewrite /sumX (big_nth 0) big_mkord def_v; apply: eq_bigr => i _.
by rewrite /k index_uniq ?free_uniq // valK.
rewrite /k /= index_uniq ?free_uniq // insubT //= def_v.
by rewrite /sumX (big_nth 0) big_mkord coord_sum_free.
Qed.
pose k x := oapp (fun i => coord (in_tuple X) i v) 0 (insub (index x X)).
exists k => [|k1 {}def_v _ /(nthP 0)[i ltiX <-]].
rewrite /sumX (big_nth 0) big_mkord def_v; apply: eq_bigr => i _.
by rewrite /k index_uniq ?free_uniq // valK.
rewrite /k /= index_uniq ?free_uniq // insubT //= def_v.
by rewrite /sumX (big_nth 0) big_mkord coord_sum_free.
Qed.
Lemma linear_of_free (rT : lmodType K) X (fX : seq rT) :
{f : {linear vT -> rT} | free X -> size fX = size X -> map f X = fX}.
Proof.
pose f u := \sum_i coord (in_tuple X) i u *: fX`_i.
have lin_f: linear f.
move=> k u v; rewrite scaler_sumr -big_split; apply: eq_bigr => i _.
by rewrite /= scalerA -scalerDl linearP.
pose flM := GRing.isLinear.Build _ _ _ _ f lin_f.
pose fL : {linear _ -> _} := HB.pack f flM.
exists fL => freeX eq_szX.
apply/esym/(@eq_from_nth _ 0); rewrite ?size_map eq_szX // => i ltiX.
rewrite (nth_map 0) //= /f (bigD1 (Ordinal ltiX)) //=.
rewrite big1 => [j /negbTE neqji|]; rewrite (coord_free (Ordinal _)) //.
by rewrite eq_sym neqji scale0r.
by rewrite eqxx scale1r addr0.
Qed.
have lin_f: linear f.
move=> k u v; rewrite scaler_sumr -big_split; apply: eq_bigr => i _.
by rewrite /= scalerA -scalerDl linearP.
pose flM := GRing.isLinear.Build _ _ _ _ f lin_f.
pose fL : {linear _ -> _} := HB.pack f flM.
exists fL => freeX eq_szX.
apply/esym/(@eq_from_nth _ 0); rewrite ?size_map eq_szX // => i ltiX.
rewrite (nth_map 0) //= /f (bigD1 (Ordinal ltiX)) //=.
rewrite big1 => [j /negbTE neqji|]; rewrite (coord_free (Ordinal _)) //.
by rewrite eq_sym neqji scale0r.
by rewrite eqxx scale1r addr0.
Qed.
Lemma span_basis U X : basis_of U X -> <<X>>%VS = U.
Lemma basis_free U X : basis_of U X -> free X.
Proof.
Lemma coord_basis U n (X : n.-tuple vT) v :
basis_of U X -> v \in U -> v = \sum_i coord X i v *: X`_i.
Proof.
Lemma nil_basis : basis_of 0 (Nil vT).
Lemma seq1_basis v : v != 0 -> basis_of <[v]> [:: v].
Lemma basis_not0 x U X : basis_of U X -> x \in X -> x != 0.
Proof.
Lemma basis_mem x U X : basis_of U X -> x \in X -> x \in U.
Proof.
Lemma cat_basis U V X Y :
directv (U + V) -> basis_of U X -> basis_of V Y -> basis_of (U + V) (X ++ Y).
Proof.
Lemma size_basis U n (X : n.-tuple vT) : basis_of U X -> \dim U = n.
Proof.
Lemma basisEdim X U : basis_of U X = (U <= <<X>>)%VS && (size X <= \dim U).
Proof.
Lemma basisEfree X U :
basis_of U X = [&& free X, (<<X>> <= U)%VS & \dim U <= size X].
Lemma perm_basis X Y U : perm_eq X Y -> basis_of U X = basis_of U Y.
Lemma vbasisP U : basis_of U (vbasis U).
Proof.
rewrite /basis_of free_b2mx span_b2mx (sameP eqP (vs2mxP _ _)) !genmxE.
have ->: b2mx (vbasis U) = row_base (vs2mx U).
by apply/row_matrixP=> i; rewrite unlock rowK tnth_mktuple r2vK.
by rewrite row_base_free !eq_row_base submx_refl.
Qed.
have ->: b2mx (vbasis U) = row_base (vs2mx U).
by apply/row_matrixP=> i; rewrite unlock rowK tnth_mktuple r2vK.
by rewrite row_base_free !eq_row_base submx_refl.
Qed.
Lemma vbasis_mem v U : v \in (vbasis U) -> v \in U.
Lemma coord_vbasis v U :
v \in U -> v = \sum_(i < \dim U) coord (vbasis U) i v *: (vbasis U)`_i.
Proof.
Section BigSumBasis.
Variables (I : finType) (P : pred I) (Xs : I -> seq vT).
Lemma span_bigcat :
(<<\big[cat/[::]]_(i | P i) Xs i>> = \sum_(i | P i) <<Xs i>>)%VS.
Lemma bigcat_free :
directv (\sum_(i | P i) <<Xs i>>) ->
(forall i, P i -> free (Xs i)) -> free (\big[cat/[::]]_(i | P i) Xs i).
Proof.
Lemma bigcat_basis Us (U := (\sum_(i | P i) Us i)%VS) :
directv U -> (forall i, P i -> basis_of (Us i) (Xs i)) ->
basis_of U (\big[cat/[::]]_(i | P i) Xs i).
Proof.
End BigSumBasis.
End VectorTheory.
#[global] Hint Resolve subvv : core.
Arguments subvP {K vT U V}.
Arguments addv_idPl {K vT U V}.
Arguments addv_idPr {K vT U V}.
Arguments memv_addP {K vT w U V }.
Arguments sumv_sup [K vT I] i0 [P U Vs].
Arguments memv_sumP {K vT I P Us v}.
Arguments subv_sumP {K vT I P Us V}.
Arguments capv_idPl {K vT U V}.
Arguments capv_idPr {K vT U V}.
Arguments memv_capP {K vT w U V}.
Arguments bigcapv_inf [K vT I] i0 [P Us V].
Arguments subv_bigcapP {K vT I P U Vs}.
Arguments directvP {K vT S}.
Arguments directv_addP {K vT U V}.
Arguments directv_add_unique {K vT U V}.
Arguments directv_sumP {K vT I P Us}.
Arguments directv_sumE {K vT I P Ss}.
Arguments directv_sum_independent {K vT I P Us}.
Arguments directv_sum_unique {K vT I P Us}.
Arguments span_subvP {K vT X U}.
Arguments freeP {K vT n X}.
Prenex Implicits coord.
Notation directv S := (directv_def (Phantom _ S%VS)).
Section LfunDefs.
Variable R : nzSemiRingType.
Implicit Types aT vT rT : semiVectType R.
Fact lfun_key : unit
Proof.
by []. Qed.
r2v \o mulmxr (f2mx f) \o v2r.
Definition fun_of_lfun := locked_with lfun_key fun_of_lfun_def.
Canonical fun_of_lfun_unlockable := [unlockable fun fun_of_lfun].
Definition linfun_def aT rT (f : aT -> rT) :=
Hom (lin1_mx (v2r \o f \o r2v)).
Definition linfun := locked_with lfun_key linfun_def.
Canonical linfun_unlockable := [unlockable fun linfun].
Definition id_lfun vT := @linfun vT vT idfun.
Definition comp_lfun aT vT rT (f : 'Hom(vT, rT)) (g : 'Hom(aT, vT)) :=
linfun (fun_of_lfun f \o fun_of_lfun g).
End LfunDefs.
Coercion fun_of_lfun : hom >-> Funclass.
Notation "\1" := (@id_lfun _ _) : lfun_scope.
Notation "f \o g" := (comp_lfun f g) : lfun_scope.
Section LfunVspaceDefs.
Variable K : fieldType.
Implicit Types aT rT : vectType K.
Definition inv_lfun aT rT (f : 'Hom(aT, rT)) := Hom (pinvmx (f2mx f)).
Definition lker aT rT (f : 'Hom(aT, rT)) := mx2vs (kermx (f2mx f)).
Fact lfun_img_key : unit
Proof.
by []. Qed.
mx2vs (vs2mx U *m f2mx f).
Definition lfun_img := locked_with lfun_img_key lfun_img_def.
Canonical lfun_img_unlockable := [unlockable fun lfun_img].
Definition lfun_preim aT rT (f : 'Hom(aT, rT)) W :=
(lfun_img (inv_lfun f) (W :&: lfun_img f fullv) + lker f)%VS.
End LfunVspaceDefs.
Prenex Implicits linfun lfun_img lker lfun_preim.
Notation "f ^-1" := (inv_lfun f) : lfun_scope.
Notation "f @: U" := (lfun_img f%VF%R U) (at level 24) : vspace_scope.
Notation "f @^-1: W" := (lfun_preim f%VF%R W) (at level 24) : vspace_scope.
Notation limg f := (lfun_img f fullv).
Section LfunNmodType.
Variables (R : nzSemiRingType) (aT rT : semiVectType R).
Implicit Types f g h : 'Hom(aT, rT).
HB.instance Definition _ := [Choice of 'Hom(aT, rT) by <:].
Fact lfun_is_semilinear f : semilinear f.
Proof.
(lfun_is_semilinear f).
Lemma lfunE (ff : {linear aT -> rT}) : linfun ff =1 ff.
Proof.
Lemma fun_of_lfunK : cancel (@fun_of_lfun R aT rT) linfun.
Proof.
Lemma lfunP f g : f =1 g <-> f = g.
Proof.
split=> [eq_fg | -> //]; rewrite -[f]fun_of_lfunK -[g]fun_of_lfunK unlock.
by apply/val_inj/row_matrixP=> i; rewrite !rowE !mul_rV_lin1 /= eq_fg.
Qed.
by apply/val_inj/row_matrixP=> i; rewrite !rowE !mul_rV_lin1 /= eq_fg.
Qed.
Definition zero_lfun : 'Hom(aT, rT) := linfun \0.
Definition add_lfun f g := linfun (f \+ g).
Fact lfun_addA : associative add_lfun.
Fact lfun_addC : commutative add_lfun.
Fact lfun_add0 : left_id zero_lfun add_lfun.
HB.instance Definition _ := GRing.isNmodule.Build 'Hom(aT, rT)
lfun_addA lfun_addC lfun_add0.
Lemma zero_lfunE x : (0 : 'Hom(aT, rT)) x = 0
Proof.
Proof.
(\sum_(i <- r | P i) fs i) x = \sum_(i <- r | P i) fs i x.
End LfunNmodType.
Arguments fun_of_lfunK {R aT rT}.
Section LfunZmodType.
Variables (R : nzRingType) (aT rT : vectType R).
Implicit Types f g h : 'Hom(aT, rT).
Let zero_lfun := @zero_lfun R aT rT.
Let add_lfun := @add_lfun R aT rT.
Definition opp_lfun f := linfun (-%R \o f).
Lemma lfun_addN : left_inverse zero_lfun opp_lfun add_lfun.
HB.instance Definition _ := GRing.Nmodule_isZmodule.Build 'Hom(aT, rT)
lfun_addN.
Lemma opp_lfunE f x : (- f) x = - f x
Proof.
End LfunZmodType.
Section LfunSemiVectType.
Variables (R : comNzSemiRingType) (aT rT : semiVectType R).
Implicit Types f : 'Hom(aT, rT).
Definition scale_lfun k f := linfun (k \*: f).
Local Infix "*:l" := scale_lfun (at level 40).
Fact lfun_scaleA k1 k2 f : k1 *:l (k2 *:l f) = (k1 * k2) *:l f.
Fact lfun_scale0 f : 0 *:l f = 0.
Fact lfun_scale1 f : 1 *:l f = f.
Fact lfun_scaleDr k f1 f2 : k *:l (f1 + f2) = k *:l f1 + k *:l f2.
Fact lfun_scaleDl f k1 k2 : (k1 + k2) *:l f = k1 *:l f + k2 *:l f.
HB.instance Definition _ := GRing.Nmodule_isLSemiModule.Build _ 'Hom(aT, rT)
lfun_scaleA lfun_scale0 lfun_scale1 lfun_scaleDr lfun_scaleDl.
Lemma scale_lfunE k f x : (k *: f) x = k *: f x
Proof.
Fact lfun_vect_iso : SemiVector.axiom (dim aT * dim rT) 'Hom(aT, rT).
Proof.
HB.instance Definition _ := LSemiModule_hasFinDim.Build _ 'Hom(aT, rT)
lfun_vect_iso.
End LfunSemiVectType.
HB.instance Definition _ (R : comNzRingType) (aT rT : vectType R) :=
SemiVector.on 'Hom(aT, rT).
Section CompLfun.
Variables (R : nzSemiRingType) (wT aT vT rT : semiVectType R).
Implicit Types (f : 'Hom(vT, rT)) (g : 'Hom(aT, vT)) (h : 'Hom(wT, aT)).
Lemma id_lfunE u: \1%VF u = u :> aT
Proof.
Proof.
Lemma comp_lfunA f g h : (f \o (g \o h) = (f \o g) \o h)%VF.
Lemma comp_lfun1l f : (\1 \o f)%VF = f.
Lemma comp_lfun1r f : (f \o \1)%VF = f.
Lemma comp_lfun0l g : (0 \o g)%VF = 0 :> 'Hom(aT, rT).
Lemma comp_lfun0r f : (f \o 0)%VF = 0 :> 'Hom(aT, rT).
Lemma comp_lfunDl f1 f2 g : ((f1 + f2) \o g = (f1 \o g) + (f2 \o g))%VF.
Lemma comp_lfunDr f g1 g2 : (f \o (g1 + g2) = (f \o g1) + (f \o g2))%VF.
End CompLfun.
Section CompLfun.
Variables (R : nzRingType) (wT aT vT rT : vectType R).
Implicit Types (f : 'Hom(vT, rT)) (g : 'Hom(aT, vT)) (h : 'Hom(wT, aT)).
Lemma comp_lfunNl f g : ((- f) \o g = - (f \o g))%VF.
Lemma comp_lfunNr f g : (f \o (- g) = - (f \o g))%VF.
End CompLfun.
Definition lfun_simp :=
(comp_lfunE, scale_lfunE, opp_lfunE, add_lfunE, sum_lfunE, lfunE).
Section ScaleCompLfun.
Variables (R : comNzSemiRingType) (aT vT rT : semiVectType R).
Implicit Types (f : 'Hom(vT, rT)) (g : 'Hom(aT, vT)).
Lemma comp_lfunZl k f g : (k *: (f \o g) = (k *: f) \o g)%VF.
Lemma comp_lfunZr k f g : (k *: (f \o g) = f \o (k *: g))%VF.
End ScaleCompLfun.
Section LinearImage.
Variables (K : fieldType) (aT rT : vectType K).
Implicit Types (f g : 'Hom(aT, rT)) (U V : {vspace aT}) (W : {vspace rT}).
Lemma limgS f U V : (U <= V)%VS -> (f @: U <= f @: V)%VS.
Lemma limg_line f v : (f @: <[v]> = <[f v]>)%VS.
Proof.
Lemma limg0 f : (f @: 0 = 0)%VS
Lemma memv_img f v U : v \in U -> f v \in (f @: U)%VS.
Lemma memv_imgP f w U :
reflect (exists2 u, u \in U & w = f u) (w \in f @: U)%VS.
Proof.
Lemma lim0g U : (0 @: U = 0 :> {vspace rT})%VS.
Lemma eq_in_limg V f g : {in V, f =1 g} -> (f @: V = g @: V)%VS.
Proof.
Lemma limgD f : {morph lfun_img f : U V / U + V}%VS.
Proof.
move=> U V; apply/eqP; rewrite unlock eqEsubv /subsetv /= -genmx_adds.
by rewrite !genmxE !(eqmxMr _ (genmxE _)) !addsmxMr submx_refl.
Qed.
by rewrite !genmxE !(eqmxMr _ (genmxE _)) !addsmxMr submx_refl.
Qed.
Lemma limg_sum f I r (P : pred I) Us :
(f @: (\sum_(i <- r | P i) Us i) = \sum_(i <- r | P i) f @: Us i)%VS.
Lemma limg_cap f U V : (f @: (U :&: V) <= f @: U :&: f @: V)%VS.
Lemma limg_bigcap f I r (P : pred I) Us :
(f @: (\bigcap_(i <- r | P i) Us i) <= \bigcap_(i <- r | P i) f @: Us i)%VS.
Proof.
elim/big_rec2: _ => [|i V U _ sUV]; first exact: subvf.
by rewrite (subv_trans (limg_cap f _ U)) ?capvS.
Qed.
by rewrite (subv_trans (limg_cap f _ U)) ?capvS.
Qed.
Lemma limg_span f X : (f @: <<X>> = <<map f X>>)%VS.
Lemma subset_limgP f U (r : seq rT) :
{subset r <= (f @: U)%VS} <-> (exists2 a, all (mem U) a & r = map f a).
Proof.
Lemma lfunPn f g : reflect (exists u, f u != g u) (f != g).
Proof.
apply: (iffP idP) => [f'g|[x]]; last by apply: contraNneq => /lfunP->.
suffices /subvPn[_ /memv_imgP[u _ ->]]: ~~ (limg (f - g) <= 0)%VS.
by rewrite lfunE /= lfunE /= memv0 subr_eq0; exists u.
apply: contra f'g => /subvP fg0; apply/eqP/lfunP=> u; apply/eqP.
by rewrite -subr_eq0 -opp_lfunE -add_lfunE -memv0 fg0 ?memv_img ?memvf.
Qed.
suffices /subvPn[_ /memv_imgP[u _ ->]]: ~~ (limg (f - g) <= 0)%VS.
by rewrite lfunE /= lfunE /= memv0 subr_eq0; exists u.
apply: contra f'g => /subvP fg0; apply/eqP/lfunP=> u; apply/eqP.
by rewrite -subr_eq0 -opp_lfunE -add_lfunE -memv0 fg0 ?memv_img ?memvf.
Qed.
Lemma inv_lfun_def f : (f \o f^-1 \o f)%VF = f.
Proof.
Lemma limg_lfunVK f : {in limg f, cancel f^-1%VF f}.
Proof.
Lemma lkerE f U : (U <= lker f)%VS = (f @: U == 0)%VS.
Proof.
Lemma memv_ker f v : (v \in lker f) = (f v == 0).
Lemma eqlfunP f g v : reflect (f v = g v) (v \in lker (f - g)).
Lemma eqlfun_inP V f g : reflect {in V, f =1 g} (V <= lker (f - g))%VS.
Lemma limg_ker_compl f U : (f @: (U :\: lker f) = f @: U)%VS.
Proof.
rewrite -{2}(addv_diff_cap U (lker f)) limgD; apply/esym/addv_idPl.
by rewrite (subv_trans _ (sub0v _)) // subv0 -lkerE capvSr.
Qed.
by rewrite (subv_trans _ (sub0v _)) // subv0 -lkerE capvSr.
Qed.
Lemma limg_ker_dim f U : (\dim (U :&: lker f) + \dim (f @: U) = \dim U)%N.
Proof.
Lemma limg_dim_eq f U : (U :&: lker f = 0)%VS -> \dim (f @: U) = \dim U.
Proof.
Lemma limg_basis_of f U X :
(U :&: lker f = 0)%VS -> basis_of U X -> basis_of (f @: U) (map f X).
Proof.
Lemma lker0P f : reflect (injective f) (lker f == 0%VS).
Proof.
Lemma limg_ker0 f U V : lker f == 0%VS -> (f @: U <= f @: V)%VS = (U <= V)%VS.
Proof.
Lemma eq_limg_ker0 f U V : lker f == 0%VS -> (f @: U == f @: V)%VS = (U == V).
Lemma lker0_lfunK f : lker f == 0%VS -> cancel f f^-1%VF.
Proof.
Lemma lker0_compVf f : lker f == 0%VS -> (f^-1 \o f = \1)%VF.
Proof.
Lemma lker0_img_cap f U V : lker f == 0%VS ->
(f @: (U :&: V) = f @: U :&: f @: V)%VS.
Proof.
End LinearImage.
Arguments memv_imgP {K aT rT f w U}.
Arguments lfunPn {K aT rT f g}.
Arguments lker0P {K aT rT f}.
Arguments eqlfunP {K aT rT f g v}.
Arguments eqlfun_inP {K aT rT V f g}.
Arguments limg_lfunVK {K aT rT f} [x] f_x.
Section FixedSpace.
Variables (K : fieldType) (vT : vectType K).
Implicit Types (f : 'End(vT)) (U : {vspace vT}).
Definition fixedSpace f : {vspace vT} := lker (f - \1%VF).
Lemma fixedSpaceP f a : reflect (f a = a) (a \in fixedSpace f).
Lemma fixedSpacesP f U : reflect {in U, f =1 id} (U <= fixedSpace f)%VS.
Proof.
Lemma fixedSpace_limg f U : (U <= fixedSpace f -> f @: U = U)%VS.
Proof.
move/fixedSpacesP=> cUf; apply/vspaceP=> x.
by apply/memv_imgP/idP=> [[{}x Ux ->] | Ux]; last exists x; rewrite ?cUf.
Qed.
by apply/memv_imgP/idP=> [[{}x Ux ->] | Ux]; last exists x; rewrite ?cUf.
Qed.
Lemma fixedSpace_id : fixedSpace \1 = {:vT}%VS.
Proof.
End FixedSpace.
Arguments fixedSpaceP {K vT f a}.
Arguments fixedSpacesP {K vT f U}.
Section LinAut.
Variables (K : fieldType) (vT : vectType K) (f : 'End(vT)).
Hypothesis kerf0 : lker f == 0%VS.
Lemma lker0_limgf : limg f = fullv.
Lemma lker0_lfunVK : cancel f^-1%VF f.
Proof.
Lemma lker0_compfV : (f \o f^-1 = \1)%VF.
Proof.
Lemma lker0_compVKf aT g : (f \o (f^-1 \o g))%VF = g :> 'Hom(aT, vT).
Proof.
Lemma lker0_compKf aT g : (f^-1 \o (f \o g))%VF = g :> 'Hom(aT, vT).
Proof.
Lemma lker0_compfK rT h : ((h \o f) \o f^-1)%VF = h :> 'Hom(vT, rT).
Proof.
Lemma lker0_compfVK rT h : ((h \o f^-1) \o f)%VF = h :> 'Hom(vT, rT).
Proof.
End LinAut.
Section LinearImageComp.
Variables (K : fieldType) (aT vT rT : vectType K).
Implicit Types (f : 'Hom(aT, vT)) (g : 'Hom(vT, rT)) (U : {vspace aT}).
Lemma lim1g U : (\1 @: U)%VS = U.
Proof.
Lemma limg_comp f g U : ((g \o f) @: U = g @: (f @: U))%VS.
Proof.
End LinearImageComp.
Section LinearPreimage.
Variables (K : fieldType) (aT rT : vectType K).
Implicit Types (f : 'Hom(aT, rT)) (U : {vspace aT}) (V W : {vspace rT}).
Lemma lpreim_cap_limg f W : (f @^-1: (W :&: limg f))%VS = (f @^-1: W)%VS.
Proof.
Lemma lpreim0 f : (f @^-1: 0)%VS = lker f.
Proof.
Lemma lpreimS f V W : (V <= W)%VS-> (f @^-1: V <= f @^-1: W)%VS.
Lemma lpreimK f W : (W <= limg f)%VS -> (f @: (f @^-1: W))%VS = W.
Proof.
Lemma memv_preim f u W : (f u \in W) = (u \in f @^-1: W)%VS.
Proof.
End LinearPreimage.
Arguments lpreimK {K aT rT f} [W] fW.
Section LfunPzSemiAlgebra.
Variables (R : comNzSemiRingType) (vT : semiVectType R).
Prenex Implicits comp_lfunA comp_lfun1l comp_lfun1r comp_lfunDl comp_lfunDr.
Definition lfun_comp_pzSemiRingType : pzSemiRingType := HB.pack 'End(vT)
(GRing.Nmodule_isPzSemiRing.Build 'End(vT)
comp_lfunA comp_lfun1l comp_lfun1r comp_lfunDl comp_lfunDr
(comp_lfun0l _) (@comp_lfun0r _ _ _ _)).
HB.instance Definition _ :=
GRing.PzSemiRing.copy 'End(vT) lfun_comp_pzSemiRingType^c.
HB.instance Definition _ := GRing.LSemiModule_isLSemiAlgebra.Build R 'End(vT)
(fun k x y => comp_lfunZr k y x).
HB.instance Definition _ := GRing.LSemiAlgebra_isSemiAlgebra.Build R 'End(vT)
(fun k x y => comp_lfunZl k y x).
End LfunPzSemiAlgebra.
Section LfunNzSemiAlgebra.
Variables (R : comNzSemiRingType) (vT : nzSemiVectType R).
Fact lfun1_neq0 : \1%VF != 0 :> 'End(vT).
Proof.
HB.instance Definition _ :=
GRing.PzSemiRing_isNonZero.Build 'End(vT) lfun1_neq0.
End LfunNzSemiAlgebra.
HB.instance Definition _ (R : comNzRingType) (vT : vectType R) :=
GRing.PzSemiAlgebra.on 'End(vT).
HB.instance Definition _ (R : comNzRingType) (vT : nzVectType R) :=
GRing.NzSemiAlgebra.on 'End(vT).
Section LfunAlgebra.
Variables (R : comNzRingType) (vT : vectType R).
Hypothesis vT_proper : dim vT > 0.
#[local, non_forgetful_inheritance]
HB.instance Definition _ := SemiVector_isProper.Build R vT vT_proper.
#[deprecated(since="mathcomp 2.6.0",
note="Use the canonical instance on hom instead.")]
Definition lfun_comp_nzRingType : nzRingType := 'End(vT)^c.
#[deprecated(since="mathcomp 2.6.0",
note="Use the canonical instance on hom instead.")]
Definition lfun_nzRingType : nzRingType := 'End(vT).
#[deprecated(since="mathcomp 2.6.0",
note="Use the canonical instance on hom instead.")]
Definition lfun_lalgType : nzLalgType R := 'End(vT).
#[deprecated(since="mathcomp 2.6.0",
note="Use the canonical instance on hom instead.")]
Definition lfun_algType : nzAlgType R := 'End(vT).
End LfunAlgebra.
Section Projection.
Variables (K : fieldType) (vT : vectType K).
Implicit Types U V : {vspace vT}.
Definition daddv_pi U V := Hom (proj_mx (vs2mx U) (vs2mx V)).
Definition projv U := daddv_pi U U^C.
Definition addv_pi1 U V := daddv_pi (U :\: V) V.
Definition addv_pi2 U V := daddv_pi V (U :\: V).
Lemma memv_pi U V w : (daddv_pi U V) w \in U.
Lemma memv_proj U w : projv U w \in U
Proof.
Lemma memv_pi1 U V w : (addv_pi1 U V) w \in U.
Lemma memv_pi2 U V w : (addv_pi2 U V) w \in V
Proof.
Lemma daddv_pi_id U V u : (U :&: V = 0)%VS -> u \in U -> daddv_pi U V u = u.
Proof.
Lemma daddv_pi_proj U V w (pi := daddv_pi U V) :
(U :&: V = 0)%VS -> pi (pi w) = pi w.
Proof.
Lemma daddv_pi_add U V w :
(U :&: V = 0)%VS -> (w \in U + V)%VS -> daddv_pi U V w + daddv_pi V U w = w.
Proof.
Lemma projv_id U u : u \in U -> projv U u = u.
Proof.
Lemma projv_proj U w : projv U (projv U w) = projv U w.
Proof.
Lemma memv_projC U w : w - projv U w \in (U^C)%VS.
Proof.
rewrite -{1}[w](daddv_pi_add (capv_compl U)) ?addv_complf ?memvf //.
by rewrite addrC addKr memv_pi.
Qed.
by rewrite addrC addKr memv_pi.
Qed.
Lemma limg_proj U : limg (projv U) = U.
Proof.
Lemma lker_proj U : lker (projv U) = (U^C)%VS.
Proof.
Lemma addv_pi1_proj U V w (pi1 := addv_pi1 U V) : pi1 (pi1 w) = pi1 w.
Proof.
Lemma addv_pi2_id U V v : v \in V -> addv_pi2 U V v = v.
Proof.
Lemma addv_pi2_proj U V w (pi2 := addv_pi2 U V) : pi2 (pi2 w) = pi2 w.
Proof.
Lemma addv_pi1_pi2 U V w :
w \in (U + V)%VS -> addv_pi1 U V w + addv_pi2 U V w = w.
Proof.
Section Sumv_Pi.
Variables (I : eqType) (r0 : seq I) (P : pred I) (Vs : I -> {vspace vT}).
Let sumv_pi_rec i :=
fix loop r := if r is j :: r1 then
let V1 := (\sum_(k <- r1) Vs k)%VS in
if j == i then addv_pi1 (Vs j) V1 else (loop r1 \o addv_pi2 (Vs j) V1)%VF
else 0.
Notation sumV := (\sum_(i <- r0 | P i) Vs i)%VS.
Definition sumv_pi_for V & V = sumV := fun i => sumv_pi_rec i (filter P r0).
Variables (V : {vspace vT}) (defV : V = sumV).
Lemma memv_sum_pi i v : sumv_pi_for defV i v \in Vs i.
Proof.
Lemma sumv_pi_uniq_sum v :
uniq (filter P r0) -> v \in V ->
\sum_(i <- r0 | P i) sumv_pi_for defV i v = v.
Proof.
rewrite /sumv_pi_for defV -!(big_filter r0 P).
elim: (filter P r0) v => [|i r IHr] v /= => [_ | /andP[r'i /IHr{}IHr]].
by rewrite !big_nil memv0 => /eqP.
rewrite !big_cons eqxx => /addv_pi1_pi2; congr (_ + _ = v).
rewrite -[_ v]IHr ?memv_pi2 //; apply: eq_big_seq => j /=.
by case: eqP => [<- /idPn | _]; rewrite ?lfunE.
Qed.
elim: (filter P r0) v => [|i r IHr] v /= => [_ | /andP[r'i /IHr{}IHr]].
by rewrite !big_nil memv0 => /eqP.
rewrite !big_cons eqxx => /addv_pi1_pi2; congr (_ + _ = v).
rewrite -[_ v]IHr ?memv_pi2 //; apply: eq_big_seq => j /=.
by case: eqP => [<- /idPn | _]; rewrite ?lfunE.
Qed.
End Sumv_Pi.
End Projection.
Prenex Implicits daddv_pi projv addv_pi1 addv_pi2.
Notation sumv_pi V := (sumv_pi_for (erefl V)).
Section SumvPi.
Variable (K : fieldType) (vT : vectType K).
Lemma sumv_pi_sum (I : finType) (P : pred I) Vs v (V : {vspace vT})
(defV : V = (\sum_(i | P i) Vs i)%VS) :
v \in V -> \sum_(i | P i) sumv_pi_for defV i v = v :> vT.
Proof.
Lemma sumv_pi_nat_sum m n (P : pred nat) Vs v (V : {vspace vT})
(defV : V = (\sum_(m <= i < n | P i) Vs i)%VS) :
v \in V -> \sum_(m <= i < n | P i) sumv_pi_for defV i v = v :> vT.
Proof.
End SumvPi.
Section SubVector.
Variable (K : fieldType) (vT : vectType K) (U : {vspace vT}).
Inductive subvs_of : predArgType := Subvs u & u \in U.
Definition vsval w : vT := let: Subvs u _ := w in u.
HB.instance Definition _ := [isSub of subvs_of for vsval].
HB.instance Definition _ := [Choice of subvs_of by <:].
HB.instance Definition _ := [SubChoice_isSubLmodule of subvs_of by <:].
Lemma subvsP w : vsval w \in U
Proof.
Proof.
Proof.
Lemma vsval_is_linear : linear vsval
Proof.
by []. Qed.
(GRing.semilinear_linear vsval_is_linear).
Fact vsproj_key : unit
Proof.
by []. Qed.
Definition vsproj := locked_with vsproj_key vsproj_def.
Canonical vsproj_unlockable := [unlockable fun vsproj].
Lemma vsprojK : {in U, cancel vsproj vsval}.
Lemma vsvalK : cancel vsval vsproj.
Lemma vsproj_is_linear : linear vsproj.
HB.instance Definition _ := GRing.isSemilinear.Build K vT subvs_of _ vsproj
(GRing.semilinear_linear vsproj_is_linear).
Fact subvs_vect_iso : Vector.axiom (\dim U) subvs_of.
Proof.
exists (fun w => \row_i coord (vbasis U) i (vsval w)).
by move=> k w1 w2; apply/rowP=> i; rewrite !mxE linearP.
exists (fun rw : 'rV_(\dim U) => vsproj (\sum_i rw 0 i *: (vbasis U)`_i)).
move=> w /=; congr (vsproj _ = w): (vsvalK w).
by rewrite {1}(coord_vbasis (subvsP w)); apply: eq_bigr => i _; rewrite mxE.
move=> rw; apply/rowP=> i; rewrite mxE vsprojK.
by apply: rpred_sum => j _; rewrite rpredZ ?vbasis_mem ?memt_nth.
by rewrite coord_sum_free ?(basis_free (vbasisP U)).
Qed.
by move=> k w1 w2; apply/rowP=> i; rewrite !mxE linearP.
exists (fun rw : 'rV_(\dim U) => vsproj (\sum_i rw 0 i *: (vbasis U)`_i)).
move=> w /=; congr (vsproj _ = w): (vsvalK w).
by rewrite {1}(coord_vbasis (subvsP w)); apply: eq_bigr => i _; rewrite mxE.
move=> rw; apply/rowP=> i; rewrite mxE vsprojK.
by apply: rpred_sum => j _; rewrite rpredZ ?vbasis_mem ?memt_nth.
by rewrite coord_sum_free ?(basis_free (vbasisP U)).
Qed.
HB.instance Definition _ := Lmodule_hasFinDim.Build K subvs_of subvs_vect_iso.
Lemma SubvsE x (xU : x \in U) : Subvs xU = vsproj x.
End SubVector.
Prenex Implicits vsval vsproj vsvalK.
Arguments subvs_inj {K vT U} [x1 x2].
Arguments vsprojK {K vT U} [x] Ux.
Section MatrixVectType.
Variables (R : nzSemiRingType) (m n : nat).
Fact matrix_vect_iso : SemiVector.axiom (m * n) 'M[R]_(m, n).
Proof.
matrix_vect_iso.
Lemma dim_matrix : dim 'M[R]_(m, n) = m * n.
Proof.
by []. Qed.
End MatrixVectType.
HB.instance Definition _ (R : nzRingType) (m n : nat) :=
SemiVector.on 'M[R]_(m, n).
Section RegularVectType.
Variable R : nzSemiRingType.
Fact regular_vect_iso : SemiVector.axiom 1 R^o.
Proof.
exists (fun a => a%:M).
by split => [a b|c d]; rewrite 1?rmorphD 1?scale_scalar_mx.
by exists (fun A : 'M_1 => A 0 0) => [a | A]; rewrite ?mxE // -mx11_scalar.
Qed.
by split => [a b|c d]; rewrite 1?rmorphD 1?scale_scalar_mx.
by exists (fun A : 'M_1 => A 0 0) => [a | A]; rewrite ?mxE // -mx11_scalar.
Qed.
HB.instance Definition _ := SemiVector_isProper.Build R R^o erefl.
End RegularVectType.
HB.instance Definition _ (R : nzRingType) := NzSemiVector.on R^o.
Section ProdVector.
Variables (R : nzSemiRingType) (vT1 vT2 : semiVectType R).
Fact pair_vect_iso : SemiVector.axiom (dim vT1 + dim vT2) (vT1 * vT2).
Proof.
pose p2r (u : vT1 * vT2) := row_mx (v2r u.1) (v2r u.2).
pose r2p w := (r2v (lsubmx w) : vT1, r2v (rsubmx w) : vT2).
have r2pK : cancel r2p p2r by move=> w; rewrite /p2r !r2vK hsubmxK.
have p2rK : cancel p2r r2p by case=> u v; rewrite /r2p row_mxKl row_mxKr !v2rK.
have r2p_lin: semilinear r2p.
by split=> [a u|u v]; congr (_, _); rewrite !semilinearP.
pose r2plM := GRing.isSemilinear.Build _ _ _ _ r2p r2p_lin.
pose r2pL : {linear _ -> _} := HB.pack r2p r2plM.
by exists p2r; [apply: (@can2_semilinear _ _ _ r2pL) | exists r2p].
Qed.
pose r2p w := (r2v (lsubmx w) : vT1, r2v (rsubmx w) : vT2).
have r2pK : cancel r2p p2r by move=> w; rewrite /p2r !r2vK hsubmxK.
have p2rK : cancel p2r r2p by case=> u v; rewrite /r2p row_mxKl row_mxKr !v2rK.
have r2p_lin: semilinear r2p.
by split=> [a u|u v]; congr (_, _); rewrite !semilinearP.
pose r2plM := GRing.isSemilinear.Build _ _ _ _ r2p r2p_lin.
pose r2pL : {linear _ -> _} := HB.pack r2p r2plM.
by exists p2r; [apply: (@can2_semilinear _ _ _ r2pL) | exists r2p].
Qed.
pair_vect_iso.
End ProdVector.
HB.instance Definition _ (R : nzRingType) (vT1 vT2 : vectType R) :=
SemiVector.on (vT1 * vT2)%type.
Section FunVectType.
Variable (I : finType) (R : nzSemiRingType) (vT : semiVectType R).
Fact ffun_vect_iso : SemiVector.axiom (#|I| * dim vT) {ffun I -> vT}.
Proof.
pose fr (f : {ffun I -> vT}) := mxvec (\matrix_(i < #|I|) v2r (f (enum_val i))).
exists fr.
by split=> [k f|f g]; rewrite -semilinearP; congr mxvec;
apply/matrixP=> i j; rewrite mxE ffunE semilinearP !mxE.
exists (fun r => [ffun i => r2v (row (enum_rank i) (vec_mx r)) : vT]) => [g|r].
by apply/ffunP=> i; rewrite ffunE mxvecK rowK v2rK enum_rankK.
by apply/(canLR vec_mxK)/matrixP=> i j; rewrite mxE ffunE r2vK enum_valK mxE.
Qed.
exists fr.
by split=> [k f|f g]; rewrite -semilinearP; congr mxvec;
apply/matrixP=> i j; rewrite mxE ffunE semilinearP !mxE.
exists (fun r => [ffun i => r2v (row (enum_rank i) (vec_mx r)) : vT]) => [g|r].
by apply/ffunP=> i; rewrite ffunE mxvecK rowK v2rK enum_rankK.
by apply/(canLR vec_mxK)/matrixP=> i j; rewrite mxE ffunE r2vK enum_valK mxE.
Qed.
HB.instance Definition _ := LSemiModule_hasFinDim.Build _ {ffun I -> vT}
ffun_vect_iso.
End FunVectType.
HB.instance Definition _ (I : finType) (R : nzRingType) (vT : vectType R) :=
SemiVector.on {ffun I -> vT}.
Section Solver.
Variable (K : fieldType) (vT : vectType K).
Variables (n : nat) (lhs : n.-tuple 'End(vT)) (rhs : n.-tuple vT).
Let lhsf u := finfun ((tnth lhs)^~ u).
Definition vsolve_eq U := finfun (tnth rhs) \in (linfun lhsf @: U)%VS.
Lemma vsolve_eqP (U : {vspace vT}) :
reflect (exists2 u, u \in U & forall i, tnth lhs i u = tnth rhs i)
(vsolve_eq U).
Proof.
have lhsZ: linear lhsf by move=> a u v; apply/ffunP=> i; rewrite !ffunE linearP.
pose lhslM := GRing.isLinear.Build _ _ _ _ lhsf lhsZ.
pose lhsL : {linear _ -> _} := HB.pack lhsf lhslM.
apply: (iffP memv_imgP) => [] [u Uu sol_u]; exists u => //.
by move=> i; rewrite -[tnth rhs i]ffunE sol_u (lfunE lhsL) ffunE.
by apply/ffunP=> i; rewrite (lfunE lhsL) !ffunE sol_u.
Qed.
pose lhslM := GRing.isLinear.Build _ _ _ _ lhsf lhsZ.
pose lhsL : {linear _ -> _} := HB.pack lhsf lhslM.
apply: (iffP memv_imgP) => [] [u Uu sol_u]; exists u => //.
by move=> i; rewrite -[tnth rhs i]ffunE sol_u (lfunE lhsL) ffunE.
by apply/ffunP=> i; rewrite (lfunE lhsL) !ffunE sol_u.
Qed.
End Solver.
Section lfunP.
Variable (F : fieldType).
Context {uT vT : vectType F}.
Local Notation m := (\dim {:uT}).
Local Notation n := (\dim {:vT}).
Lemma span_lfunP (U : seq uT) (phi psi : 'Hom(uT,vT)) :
{in <<U>>%VS, phi =1 psi} <-> {in U, phi =1 psi}.
Proof.
split=> eq_phi_psi u uU; first by rewrite eq_phi_psi ?memv_span.
rewrite [u](@coord_span _ _ _ (in_tuple U))// !linear_sum/=.
by apply: eq_bigr=> i _; rewrite 2!linearZ/= eq_phi_psi// ?mem_nth.
Qed.
rewrite [u](@coord_span _ _ _ (in_tuple U))// !linear_sum/=.
by apply: eq_bigr=> i _; rewrite 2!linearZ/= eq_phi_psi// ?mem_nth.
Qed.
Lemma fullv_lfunP (U : seq uT) (phi psi : 'Hom(uT,vT)) : <<U>>%VS = fullv ->
phi = psi <-> {in U, phi =1 psi}.
Proof.
Module passmx.
Section passmx.
Variable (F : fieldType).
Section vecmx.
Context {vT : vectType F}.
Local Notation n := (\dim {:vT}).
Variables (e : n.-tuple vT).
Definition rVof (v : vT) := \row_i coord e i v.
Lemma rVof_linear : linear rVof.
HB.instance Definition _ := GRing.isSemilinear.Build F _ _ _ rVof
(GRing.semilinear_linear rVof_linear).
Lemma coord_rVof i v : coord e i v = rVof v 0 i.
Proof.
Definition vecof (v : 'rV_n) := \sum_i v 0 i *: e`_i.
Lemma vecof_delta i : vecof (delta_mx 0 i) = e`_i.
Proof.
Lemma vecof_linear : linear vecof.
Proof.
(GRing.semilinear_linear vecof_linear).
Variable e_basis : basis_of {:vT} e.
Lemma rVofK : cancel rVof vecof.
Proof.
Lemma vecofK : cancel vecof rVof.
Proof.
move=> v; apply/rowP=> i; rewrite !(lfunE, mxE).
by rewrite coord_sum_free ?(basis_free e_basis).
Qed.
by rewrite coord_sum_free ?(basis_free e_basis).
Qed.
Lemma rVofE (i : 'I_n) : rVof e`_i = delta_mx 0 i.
Proof.
Lemma coord_vecof i v : coord e i (vecof v) = v 0 i.
Proof.
Lemma rVof_eq0 v : (rVof v == 0) = (v == 0).
Lemma vecof_eq0 v : (vecof v == 0) = (v == 0).
End vecmx.
Section hommx.
Context {uT vT : vectType F}.
Local Notation m := (\dim {:uT}).
Local Notation n := (\dim {:vT}).
Variables (e : m.-tuple uT) (e' : n.-tuple vT).
Definition mxof (h : 'Hom(uT, vT)) := lin1_mx (rVof e' \o h \o vecof e).
Lemma mxof_linear : linear mxof.
HB.instance Definition _ := GRing.isSemilinear.Build F _ _ _ mxof
(GRing.semilinear_linear mxof_linear).
Definition funmx (M : 'M[F]_(m, n)) u := vecof e' (rVof e u *m M).
Lemma funmx_linear M : linear (funmx M).
HB.instance Definition _ M := GRing.isSemilinear.Build F _ _ _ (funmx M)
(GRing.semilinear_linear (funmx_linear M)).
Definition hommx M : 'Hom(uT, vT) := linfun (funmx M).
Lemma hommx_linear : linear hommx.
Proof.
(GRing.semilinear_linear hommx_linear).
Hypothesis e_basis: basis_of {:uT} e.
Hypothesis f_basis: basis_of {:vT} e'.
Lemma mxofK : cancel mxof hommx.
Proof.
Lemma hommxK : cancel hommx mxof.
Proof.
Lemma mul_mxof phi u : u *m mxof phi = rVof e' (phi (vecof e u)).
Proof.
Lemma hommxE M u : hommx M u = vecof e' (rVof e u *m M).
Lemma rVof_mul M u : rVof e u *m M = rVof e' (hommx M u).
Lemma hom_vecof (phi : 'Hom(uT, vT)) u :
phi (vecof e u) = vecof e' (u *m mxof phi).
Lemma rVof_app (phi : 'Hom(uT, vT)) u :
rVof e' (phi u) = rVof e u *m mxof phi.
Lemma vecof_mul M u : vecof e' (u *m M) = hommx M (vecof e u).
Lemma mxof_eq0 phi : (mxof phi == 0) = (phi == 0).
Lemma hommx_eq0 M : (hommx M == 0) = (M == 0).
End hommx.
Section hommx_comp.
Context {uT vT wT : vectType F}.
Local Notation m := (\dim {:uT}).
Local Notation n := (\dim {:vT}).
Local Notation p := (\dim {:wT}).
Variables (e : m.-tuple uT) (f : n.-tuple vT) (g : p.-tuple wT).
Hypothesis e_basis: basis_of {:uT} e.
Hypothesis f_basis: basis_of {:vT} f.
Hypothesis g_basis: basis_of {:wT} g.
Lemma mxof_comp (phi : 'Hom(uT, vT)) (psi : 'Hom(vT, wT)) :
mxof e g (psi \o phi)%VF = mxof e f phi *m mxof f g psi.
Proof.
apply/matrixP => i k; rewrite !(mxE, comp_lfunE, lfunE) /=.
rewrite [phi _](coord_basis f_basis) ?memvf// 2!linear_sum/=.
by apply: eq_bigr => j _ /=; rewrite !mxE !linearZ/= !vecof_delta.
Qed.
rewrite [phi _](coord_basis f_basis) ?memvf// 2!linear_sum/=.
by apply: eq_bigr => j _ /=; rewrite !mxE !linearZ/= !vecof_delta.
Qed.
Lemma hommx_mul (A : 'M_(m,n)) (B : 'M_(n, p)) :
hommx e g (A *m B) = (hommx f g B \o hommx e f A)%VF.
End hommx_comp.
Section vsms.
Context {vT : vectType F}.
Local Notation n := (\dim {:vT}).
Variables (e : n.-tuple vT).
Definition msof (V : {vspace vT}) : 'M_n := mxof e e (projv V).
Definition vsof (M : 'M[F]_n) := limg (hommx e e M).
Lemma mxof1 : free e -> mxof e e \1 = 1%:M.
Proof.
Hypothesis e_basis : basis_of {:vT} e.
Lemma hommx1 : hommx e e 1%:M = \1%VF.
Proof.
Lemma msofK : cancel msof vsof.
Lemma mem_vecof u (V : {vspace vT}) : (vecof e u \in V) = (u <= msof V)%MS.
Proof.
Lemma rVof_sub u M : (rVof e u <= M)%MS = (u \in vsof M).
Proof.
Lemma vsof_sub M V : (vsof M <= V)%VS = (M <= msof V)%MS.
Proof.
Lemma msof_sub V M : (msof V <= M)%MS = (V <= vsof M)%VS.
Proof.
Lemma vsofK M : (msof (vsof M) == M)%MS.
Lemma sub_msof : {mono msof : V V' / (V <= V')%VS >-> (V <= V')%MS}.
Lemma sub_vsof : {mono vsof : M M' / (M <= M')%MS >-> (M <= M')%VS}.
Lemma msof0 : msof 0 = 0.
Proof.
Lemma vsof0 : vsof 0 = 0%VS.
Lemma msof_eq0 V : (msof V == 0) = (V == 0%VS).
Lemma vsof_eq0 M : (vsof M == 0%VS) = (M == 0).
Proof.
End vsms.
Section eigen.
Context {uT : vectType F}.
Definition leigenspace (phi : 'End(uT)) a := lker (phi - a *: \1%VF).
Definition leigenvalue phi a := leigenspace phi a != 0%VS.
Local Notation m := (\dim {:uT}).
Variables (e : m.-tuple uT).
Hypothesis e_basis: basis_of {:uT} e.
Let e_free := basis_free e_basis.
Lemma lker_ker phi : lker phi = vsof e (kermx (mxof e e phi)).
Proof.
Lemma limgE phi : limg phi = vsof e (mxof e e phi).
Proof.
Lemma leigenspaceE f a : leigenspace f a = vsof e (eigenspace (mxof e e f) a).
End eigen.
End passmx.
End passmx.