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#############################################################################
##
## This file is part of GAP, a system for computational discrete algebra.
## This file's authors include Thomas Breuer, Ansgar Kaup.
##
## Copyright of GAP belongs to its developers, whose names are too numerous
## to list here. Please refer to the COPYRIGHT file for details.
##
## SPDX-License-Identifier: GPL-2.0-or-later
##
## This file contains the declaration of functions that mainly deal with
## lattices in the context of character tables.
##

#############################################################################
##
#F LLL( <tbl>, <characters>[, <y>][, "sort"][, "linearcomb"] )
##
## <#GAPDoc Label="LLL">
## <ManSection>
## <Func Name="LLL" Arg='tbl, characters[, y][, "sort"][, "linearcomb"]'/>
##
## <Description>
## <Index Subkey="for virtual characters">LLL algorithm</Index>
## <Index>short vectors spanning a lattice</Index>
## <Index Subkey="for virtual characters">lattice basis reduction</Index>
## <Ref Func="LLL"/> calls the LLL algorithm
## (see <Ref Func="LLLReducedBasis"/>) in the case of
## lattices spanned by the virtual characters <A>characters</A>
## of the ordinary character table <A>tbl</A>
## (see <Ref Oper="ScalarProduct" Label="for characters"/>).
## By finding shorter vectors in the lattice spanned by <A>characters</A>,
## i.e., virtual characters of smaller norm,
## in some cases <Ref Func="LLL"/> is able to find irreducible characters.
## 
## <Ref Func="LLL"/> returns a record with at least components
## <C>irreducibles</C> (the list of found irreducible characters),
## <C>remainders</C> (a list of reducible virtual characters),
## and <C>norms</C> (the list of norms of the vectors in <C>remainders</C>).
## <C>irreducibles</C> together with <C>remainders</C> form a basis of the
## <M>&ZZ;</M>-lattice spanned by <A>characters</A>.
## 
## Note that the vectors in the <C>remainders</C> list are in general
## <E>not</E> orthogonal (see <Ref Oper="ReducedClassFunctions"/>)
## to the irreducible characters in <C>irreducibles</C>.
## 
## Optional arguments of <Ref Func="LLL"/> are
## 
## <List>
## <A>y</A>
## <Item>
## controls the sensitivity of the algorithm,
## see <Ref Func="LLLReducedBasis"/>,
## </Item>
## <A>"sort"</A>
## <Item>
## <Ref Func="LLL"/> sorts <A>characters</A> and the <C>remainders</C>
## component of the result according to the degrees,
## </Item>
## <A>"linearcomb"</A>
## <Item>
## the returned record contains components <C>irreddecomp</C>
## and <C>reddecomp</C>, which are decomposition matrices of
## <C>irreducibles</C> and <C>remainders</C>,
## with respect to <A>characters</A>.
## </Item>
## </List>
## 
## <Example><![CDATA[
## gap> s4:= CharacterTable( "Symmetric", 4 );;
## gap> chars:= [ [ 8, 0, 0, -1, 0 ], [ 6, 0, 2, 0, 2 ],
## > [ 12, 0, -4, 0, 0 ], [ 6, 0, -2, 0, 0 ], [ 24, 0, 0, 0, 0 ],
## > [ 12, 0, 4, 0, 0 ], [ 6, 0, 2, 0, -2 ], [ 12, -2, 0, 0, 0 ],
## > [ 8, 0, 0, 2, 0 ], [ 12, 2, 0, 0, 0 ], [ 1, 1, 1, 1, 1 ] ];;
## gap> LLL( s4, chars );
## rec(
## irreducibles :=
## [ Character( CharacterTable( "Sym(4)" ), [ 2, 0, 2, -1, 0 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, 1, 1, 1, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, 1, -1, 0, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, -1, -1, 0, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, -1, 1, 1, -1 ] ) ],
## norms := [ ], remainders := [ ] )
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "LLL" );

#############################################################################
##
#F Extract( <tbl>, <reducibles>, <grammat>[, <missing> ] )
##
## <#GAPDoc Label="Extract">
## <ManSection>
## <Func Name="Extract" Arg='tbl, reducibles, grammat[, missing ]'/>
##
## <Description>
## Let <A>tbl</A> be an ordinary character table,
## <A>reducibles</A> a list of characters of <A>tbl</A>,
## and <A>grammat</A> the matrix of scalar products of <A>reducibles</A>
## (see <Ref Oper="MatScalarProducts"/>).
## <Ref Func="Extract"/> tries to find irreducible characters by drawing
## conclusions out of the scalar products,
## using combinatorial and backtrack means.
## 
## The optional argument <A>missing</A> is the maximal number of irreducible
## characters that occur as constituents of <A>reducibles</A>.
## Specification of <A>missing</A> may accelerate <Ref Func="Extract"/>.
## 
## <Ref Func="Extract"/> returns a record <A>ext</A> with the components
## <C>solution</C> and <C>choice</C>,
## where the value of <C>solution</C> is a list <M>[ M_1, \ldots, M_n ]</M>
## of decomposition matrices <M>M_i</M> (up to permutations of rows)
## with the property that <M>M_i^{tr} \cdot X</M> is equal to
## the sublist at the positions <A>ext</A><C>.choice[i]</C> of
## <A>reducibles</A>,
## for a matrix <M>X</M> of irreducible characters;
## the value of <C>choice</C> is a list of length <M>n</M> whose entries are
## lists of indices.
## 
## So the <M>j</M>-th column in each matrix <M>M_i</M> corresponds to
## <M><A>reducibles</A>[j]</M>, and each row in <M>M_i</M> corresponds to an
## irreducible character.
## <Ref Func="Decreased"/> can be used to examine the solution for
## computable irreducibles.
## 
## <Example><![CDATA[
## gap> s4:= CharacterTable( "Symmetric", 4 );;
## gap> red:= [ [ 5, 1, 5, 2, 1 ], [ 2, 0, 2, 2, 0 ], [ 3, -1, 3, 0, -1 ],
## > [ 6, 0, -2, 0, 0 ], [ 4, 0, 0, 1, 2 ] ];;
## gap> gram:= MatScalarProducts( s4, red, red );
## [ [ 6, 3, 2, 0, 2 ], [ 3, 2, 1, 0, 1 ], [ 2, 1, 2, 0, 0 ],
## [ 0, 0, 0, 2, 1 ], [ 2, 1, 0, 1, 2 ] ]
## gap> ext:= Extract( s4, red, gram, 5 );
## rec( choice := [ [ 2, 5, 3, 4, 1 ] ],
## solution :=
## [
## [ [ 1, 1, 0, 0, 2 ], [ 1, 0, 1, 0, 1 ], [ 0, 1, 0, 1, 0 ],
## [ 0, 0, 1, 0, 1 ], [ 0, 0, 0, 1, 0 ] ] ] )
## gap> dec:= Decreased( s4, red, ext.solution[1], ext.choice[1] );
## rec(
## irreducibles :=
## [ Character( CharacterTable( "Sym(4)" ), [ 1, 1, 1, 1, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, -1, -1, 0, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, -1, 1, 1, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, 1, -1, 0, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 2, 0, 2, -1, 0 ] ) ],
## matrix := [ ], remainders := [ ] )
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "Extract" );

#############################################################################
##
#F OrthogonalEmbeddingsSpecialDimension( <tbl>, <reducibles>, <grammat>,
#F ["positive",] <dim> )
##
## <#GAPDoc Label="OrthogonalEmbeddingsSpecialDimension">
## <ManSection>
## <Func Name="OrthogonalEmbeddingsSpecialDimension"
## Arg='tbl, reducibles, grammat[, "positive"], dim'/>
##
## <Description>
## <Ref Func="OrthogonalEmbeddingsSpecialDimension"/> is a variant of
## <Ref Func="OrthogonalEmbeddings"/> for the situation
## that <A>tbl</A> is an ordinary character table,
## <A>reducibles</A> is a list of virtual characters of <A>tbl</A>,
## <A>grammat</A> is the matrix of scalar products
## (see <Ref Oper="MatScalarProducts"/>),
## and <A>dim</A> is an upper bound for the number of irreducible characters
## of <A>tbl</A> that occur as constituents of <A>reducibles</A>;
## if the vectors in <A>reducibles</A> are known to be proper characters then
## the string <C>"positive"</C> may be entered as fourth argument.
## (See <Ref Func="OrthogonalEmbeddings"/> for information why this may
## help.)
## 
## <Ref Func="OrthogonalEmbeddingsSpecialDimension"/> first uses
## <Ref Func="OrthogonalEmbeddings"/> to compute all orthogonal embeddings
## of <A>grammat</A> into a standard lattice of dimension up to <A>dim</A>,
## and then calls <Ref Func="Decreased"/> in order to find irreducible
## characters of <A>tbl</A>.
## 
## <Ref Func="OrthogonalEmbeddingsSpecialDimension"/> returns a record with
## the following components.
## 
## <List>
## <C>irreducibles</C>
## <Item>
## a list of found irreducibles, the intersection of all lists of
## irreducibles found by <Ref Func="Decreased"/>,
## for all possible embeddings, and
## </Item>
## <C>remainders</C>
## <Item>
## a list of remaining reducible virtual characters.
## </Item>
## </List>
## 
## <Example><![CDATA[
## gap> s6:= CharacterTable( "S6" );;
## gap> red:= InducedCyclic( s6, "all" );;
## gap> Add( red, TrivialCharacter( s6 ) );
## gap> lll:= LLL( s6, red );;
## gap> irred:= lll.irreducibles;
## [ Character( CharacterTable( "A6.2_1" ),
## [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ] ),
## Character( CharacterTable( "A6.2_1" ),
## [ 9, 1, 0, 0, 1, -1, -3, -3, 1, 0, 0 ] ),
## Character( CharacterTable( "A6.2_1" ),
## [ 16, 0, -2, -2, 0, 1, 0, 0, 0, 0, 0 ] ) ]
## gap> Set( Flat( MatScalarProducts( s6, irred, lll.remainders ) ) );
## [ 0 ]
## gap> dim:= NrConjugacyClasses( s6 ) - Length( lll.irreducibles );
## 8
## gap> rem:= lll.remainders;; Length( rem );
## 8
## gap> gram:= MatScalarProducts( s6, rem, rem );; RankMat( gram );
## 8
## gap> emb1:= OrthogonalEmbeddings( gram, 8 );
## rec( norms := [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ],
## solutions := [ [ 1, 2, 3, 7, 11, 12, 13, 15 ],
## [ 1, 2, 4, 8, 10, 12, 13, 14 ], [ 1, 2, 5, 6, 9, 12, 13, 16 ] ],
## vectors :=
## [ [ -1, 0, 1, 0, 1, 0, 1, 0 ], [ 1, 0, 0, 1, 0, 1, 0, 0 ],
## [ 0, 1, 1, 0, 0, 0, 1, 1 ], [ 0, 1, 1, 0, 0, 0, 1, 0 ],
## [ 0, 1, 1, 0, 0, 0, 0, 0 ], [ 0, 1, 0, 0, 0, 0, 1, 0 ],
## [ 0, -1, 0, 0, 0, 0, 0, 1 ], [ 0, 1, 0, 0, 0, 0, 0, 0 ],
## [ 0, 0, 1, 0, 0, 0, 1, 1 ], [ 0, 0, 1, 0, 0, 0, 0, 1 ],
## [ 0, 0, 1, 0, 0, 0, 0, 0 ], [ 0, 0, 0, -1, 1, 0, 0, 0 ],
## [ 0, 0, 0, 0, 0, 1, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 1, 1 ],
## [ 0, 0, 0, 0, 0, 0, 1, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 1 ] ] )
## gap> emb2:= OrthogonalEmbeddingsSpecialDimension( s6, rem, gram, 8 );
## rec(
## irreducibles :=
## [ Character( CharacterTable( "A6.2_1" ),
## [ 5, 1, -1, 2, -1, 0, 1, -3, -1, 1, 0 ] ),
## Character( CharacterTable( "A6.2_1" ),
## [ 5, 1, 2, -1, -1, 0, -3, 1, -1, 0, 1 ] ),
## Character( CharacterTable( "A6.2_1" ),
## [ 10, -2, 1, 1, 0, 0, -2, 2, 0, 1, -1 ] ),
## Character( CharacterTable( "A6.2_1" ),
## [ 10, -2, 1, 1, 0, 0, 2, -2, 0, -1, 1 ] ) ],
## remainders :=
## [ VirtualCharacter( CharacterTable( "A6.2_1" ),
## [ 0, 0, 3, -3, 0, 0, 4, -4, 0, 1, -1 ] ),
## VirtualCharacter( CharacterTable( "A6.2_1" ),
## [ 6, 2, 3, 0, 0, 1, 2, -2, 0, -1, -2 ] ),
## VirtualCharacter( CharacterTable( "A6.2_1" ),
## [ 10, 2, 1, 1, 2, 0, 2, 2, -2, -1, -1 ] ),
## VirtualCharacter( CharacterTable( "A6.2_1" ),
## [ 14, 2, 2, -1, 0, -1, 6, 2, 0, 0, -1 ] ) ] )
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "OrthogonalEmbeddingsSpecialDimension" );

#############################################################################
##
#F Decreased( <tbl>, <chars>, <decompmat>[, <choice>] )
##
## <#GAPDoc Label="Decreased">
## <ManSection>
## <Func Name="Decreased" Arg='tbl, chars, decompmat[, choice]'/>
##
## <Description>
## Let <A>tbl</A> be an ordinary character table,
## <A>chars</A> a list of virtual characters of <A>tbl</A>,
## and <A>decompmat</A> a decomposition matrix, that is,
## a matrix <M>M</M> with the property that
## <M>M^{tr} \cdot X = <A>chars</A></M> holds,
## where <M>X</M> is a list of irreducible characters of <A>tbl</A>.
## <Ref Func="Decreased"/> tries to compute the irreducibles in <M>X</M> or
## at least some of them.
## 
## Usually <Ref Func="Decreased"/> is applied to the output of
## <Ref Func="Extract"/> or <Ref Func="OrthogonalEmbeddings"/> or
## <Ref Func="OrthogonalEmbeddingsSpecialDimension"/>.
## In the case of <Ref Func="Extract"/>,
## the choice component corresponding to the decomposition matrix must be
## entered as argument <A>choice</A> of <Ref Func="Decreased"/>.
## 
## <Ref Func="Decreased"/> returns <K>fail</K> if it can prove that no list
## <M>X</M> of irreducible characters corresponding to the arguments exists;
## otherwise <Ref Func="Decreased"/> returns a record with the following
## components.
## 
## <List>
## <C>irreducibles</C>
## <Item>
## the list of found irreducible characters,
## </Item>
## <C>remainders</C>
## <Item>
## the remaining reducible characters, and
## </Item>
## <C>matrix</C>
## <Item>
## the decomposition matrix of the characters in the <C>remainders</C>
## component.
## </Item>
## </List>
## 
## <Example><![CDATA[
## gap> s4:= CharacterTable( "Symmetric", 4 );;
## gap> x:= Irr( s4 );;
## gap> red:= [ x[1]+x[2], -x[1]-x[3], -x[1]+x[3], -x[2]-x[4] ];;
## gap> mat:= MatScalarProducts( s4, red, red );
## [ [ 2, -1, -1, -1 ], [ -1, 2, 0, 0 ], [ -1, 0, 2, 0 ],
## [ -1, 0, 0, 2 ] ]
## gap> emb:= OrthogonalEmbeddings( mat );
## rec( norms := [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ],
## solutions := [ [ 1, 6, 7, 12 ], [ 2, 5, 8, 11 ], [ 3, 4, 9, 10 ] ],
## vectors := [ [ -1, 1, 1, 0 ], [ -1, 1, 0, 1 ], [ 1, -1, 0, 0 ],
## [ -1, 0, 1, 1 ], [ -1, 0, 1, 0 ], [ -1, 0, 0, 1 ],
## [ 0, -1, 1, 0 ], [ 0, -1, 0, 1 ], [ 0, 1, 0, 0 ],
## [ 0, 0, -1, 1 ], [ 0, 0, 1, 0 ], [ 0, 0, 0, 1 ] ] )
## gap> dec:= Decreased( s4, red, emb.vectors{ emb.solutions[1] } );
## rec(
## irreducibles :=
## [ Character( CharacterTable( "Sym(4)" ), [ 3, -1, -1, 0, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, -1, 1, 1, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 2, 0, 2, -1, 0 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, 1, -1, 0, -1 ] ) ],
## matrix := [ ], remainders := [ ] )
## gap> Decreased( s4, red, emb.vectors{ emb.solutions[2] } );
## fail
## gap> Decreased( s4, red, emb.vectors{ emb.solutions[3] } );
## fail
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "Decreased" );

#############################################################################
##
#F DnLattice( <tbl>, <grammat>, <reducibles> )
##
## <#GAPDoc Label="DnLattice">
## <ManSection>
## <Func Name="DnLattice" Arg='tbl, grammat, reducibles'/>
##
## <Description>
## Let <A>tbl</A> be an ordinary character table,
## and <A>reducibles</A> a list of virtual characters of <A>tbl</A>.
## 
## <Ref Func="DnLattice"/> searches for sublattices isomorphic to root
## lattices of type <M>D_n</M>, for <M>n \geq 4</M>,
## in the lattice that is generated by <A>reducibles</A>;
## each vector in <A>reducibles</A> must have norm <M>2</M>, and the matrix
## of scalar products (see <Ref Oper="MatScalarProducts"/>) of
## <A>reducibles</A> must be entered as argument <A>grammat</A>.
## 
## <Ref Func="DnLattice"/> is able to find irreducible characters if there
## is a lattice of type <M>D_n</M> with <M>n > 4</M>.
## In the case <M>n = 4</M>, <Ref Func="DnLattice"/> may fail to determine
## irreducibles.
## 
## <Ref Func="DnLattice"/> returns a record with components
## <List>
## <C>irreducibles</C>
## <Item>
## the list of found irreducible characters,
## </Item>
## <C>remainders</C>
## <Item>
## the list of remaining reducible virtual characters, and
## </Item>
## <C>gram</C>
## <Item>
## the Gram matrix of the vectors in <C>remainders</C>.
## </Item>
## </List>
## 
## The <C>remainders</C> list is transformed in such a way that the
## <C>gram</C> matrix is a block diagonal matrix that exhibits the structure
## of the lattice generated by the vectors in <C>remainders</C>.
## So <Ref Func="DnLattice"/> might be useful even if it fails to find
## irreducible characters.
## 
## <Example><![CDATA[
## gap> s4:= CharacterTable( "Symmetric", 4 );;
## gap> red:= [ [ 2, 0, 2, 2, 0 ], [ 4, 0, 0, 1, 2 ],
## > [ 5, -1, 1, -1, 1 ], [ -1, 1, 3, -1, -1 ] ];;
## gap> gram:= MatScalarProducts( s4, red, red );
## [ [ 2, 1, 0, 0 ], [ 1, 2, 1, -1 ], [ 0, 1, 2, 0 ], [ 0, -1, 0, 2 ] ]
## gap> dn:= DnLattice( s4, gram, red );
## rec( gram := [ ],
## irreducibles :=
## [ Character( CharacterTable( "Sym(4)" ), [ 2, 0, 2, -1, 0 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, -1, 1, 1, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, 1, 1, 1, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, -1, -1, 0, 1 ] ) ],
## remainders := [ ] )
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "DnLattice" );

#############################################################################
##
#F DnLatticeIterative( <tbl>, <reducibles> )
##
## <#GAPDoc Label="DnLatticeIterative">
## <ManSection>
## <Func Name="DnLatticeIterative" Arg='tbl, reducibles'/>
##
## <Description>
## Let <A>tbl</A> be an ordinary character table,
## and <A>reducibles</A> either a list of virtual characters of <A>tbl</A>
## or a record with components <C>remainders</C> and <C>norms</C>,
## for example a record returned by <Ref Func="LLL"/>.
## 
## <Ref Func="DnLatticeIterative"/> was designed for iterative use of
## <Ref Func="DnLattice"/>.
## <Ref Func="DnLatticeIterative"/> selects the vectors of norm <M>2</M>
## among the given virtual character, calls <Ref Func="DnLattice"/> for
## them, reduces the virtual characters with found irreducibles,
## calls <Ref Func="DnLattice"/> again for the remaining virtual characters,
## and so on, until no new irreducibles are found.
## 
## <Ref Func="DnLatticeIterative"/> returns a record with the same
## components and meaning of components as <Ref Func="LLL"/>.
## 
## <Example><![CDATA[
## gap> s4:= CharacterTable( "Symmetric", 4 );;
## gap> red:= [ [ 2, 0, 2, 2, 0 ], [ 4, 0, 0, 1, 2 ],
## > [ 5, -1, 1, -1, 1 ], [ -1, 1, 3, -1, -1 ] ];;
## gap> dn:= DnLatticeIterative( s4, red );
## rec(
## irreducibles :=
## [ Character( CharacterTable( "Sym(4)" ), [ 2, 0, 2, -1, 0 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, -1, 1, 1, -1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 1, 1, 1, 1, 1 ] ),
## Character( CharacterTable( "Sym(4)" ), [ 3, -1, -1, 0, 1 ] ) ],
## norms := [ ], remainders := [ ] )
## ]]></Example>
## </Description>
## </ManSection>
## <#/GAPDoc>
##
DeclareGlobalFunction( "DnLatticeIterative" );

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