Section Submodule.
Variable U : 'M[F]_n.
Definition val_submod m : 'M_(m, \rank U) -> 'M_(m, n) := mulmxr (row_base U).
Definition in_submod m : 'M_(m, n) -> 'M_(m, \rank U) :=
mulmxr (invmx (row_ebase U) *m pid_mx (\rank U)).
Canonical val_submod_linear m := [linear of @val_submod m].
Canonical in_submod_linear m := [linear of @in_submod m].
Definition val_factmod m : _ -> 'M_(m, n) :=
mulmxr (row_base (cokermx U) *m row_ebase U).
Definition in_factmod m : 'M_(m, n) -> _ := mulmxr (col_base (cokermx U)).
Canonical val_factmod_linear m := [linear of @val_factmod m].
Canonical in_factmod_linear m := [linear of @in_factmod m].
Definition submod_mx of mxmodule U :=
fun x => in_submod (val_submod 1%:M *m rG x).
Definition factmod_mx of mxmodule U :=
fun x => in_factmod (val_factmod 1%:M *m rG x).
Hypothesis Umod : mxmodule U.
Canonical submod_repr := MxRepresentation submod_mx_repr.
Canonical factmod_repr := MxRepresentation factmod_mx_repr.
End Submodule.
(* Properties of enveloping algebra as a subspace of 'rV_(n ^ 2). *)
(* Module homomorphisms; any square matrix f defines a module homomorphism   *)
(* over some domain, namely, dom_hom_mx f.                                   *)
Definition dom_hom_mx f : 'M_n :=
kermx (lin1_mx (mxvec \o mulmx (cent_mx_fun E_G f) \o lin_mul_row)).
Arguments hom_mxP {m f W}.
(* The subspace fixed by a subgroup H of G; it is a module if H <| G.         *)
(* The definition below is extensionally equivalent to the straightforward    *)
(*    \bigcap_(x in H) kermx (rG x - 1%:M)                                    *)
(* but it avoids the dependency on the choice function; this allows it to     *)
(* commute with ring morphisms.                                               *)
Definition rfix_mx (H : {set gT}) :=
let commrH := \matrix_(i < #|H|) mxvec (rG (enum_val i) - 1%:M) in
kermx (lin1_mx (mxvec \o mulmx commrH \o lin_mul_row)).
Arguments rfix_mxP {m W}.
(* The cyclic module generated by a single vector. *)
Definition cyclic_mx u := <<E_G *m lin_mul_row u>>%MS.
Arguments cyclic_mxP {u v}.
(* The annihilator of a single vector. *)
Definition annihilator_mx u := (E_G :&: kermx (lin_mul_row u))%MS.
(* The subspace of homomorphic images of a row vector.                        *)
Definition row_hom_mx u :=
(\bigcap_j kermx (vec_mx (row j (annihilator_mx u))))%MS.
(* Sub-, isomorphic, simple, semisimple and completely reducible modules.     *)
(* All these predicates are intuitionistic (since, e.g., testing simplicity   *)
(* requires a splitting algorithm fo r the mas field). They are all           *)
(* specialized to square matrices, to avoid spurrious height parameters.      *)
(* Module isomorphism is an intentional property in general, but it can be    *)
(* decided when one of the two modules is known to be simple.                 *)
Variant mx_iso (U V : 'M_n) : Prop :=
MxIso f of f \in unitmx & (U <= dom_hom_mx f)%MS & (U *m f :=: V)%MS.

Lemma mxrank_iso U V : mx_iso U V -> \rank U = \rank V.