source: git/Singular/LIB/gaussman.lib @ 0dd77c2

///////////////////////////////////////////////////////////////////////////////
version="$Id$";
category="Singularities";

info="
LIBRARY:  gaussman.lib  Gauss-Manin System of Isolated Singularities

AUTHOR:   Mathias Schulze, email: mschulze@mathematik.uni-kl.de

OVERVIEW: A library for the Gauss-Manin system
          of an isolated hypersurface singularity

PROCEDURES:
 gmsring(t,s);              Gauss-Manin system of t with variable s
 gmsnf(p,K);                Gauss-Manin normal form of p
 gmscoeffs(p,K);            Gauss-Manin basis representation of p
 bernstein(t);              roots of the Bernstein polynomial of t
 monodromy(t);              Jordan data of complex monodromy of t
 spectrum(t);               singularity spectrum of t
 sppairs(t);                spectral pairs of t
 vfilt(t);                  V-filtration of t on Brieskorn lattice
 vwfilt(t);                 weighted V-filtration of t on Brieskorn lattice
 tmatrix(t);                C[[s]]-matrix of t on Brieskorn lattice
 endvfilt(V);               endomorphism V-filtration on Jacobian algebra
 sppnf(a,w[,m]);            spectral pairs normal form of (a,w[,m])
 sppprint(spp);             print spectral pairs spp
 spadd(sp1,sp2);            sum of spectra sp1 and sp2
 spsub(sp1,sp2);            difference of spectra sp1 and sp2
 spmul(sp0,k);              linear combination of spectra sp
 spissemicont(sp[,opt]);    semicontinuity test of spectrum sp
 spsemicont(sp0,sp[,opt]);  semicontinuous combinations of spectra sp0 in sp
 spmilnor(sp);              Milnor number of spectrum sp
 spgeomgenus(sp);           geometrical genus of spectrum sp
 spgamma(sp);               gamma invariant of spectrum sp

SEE ALSO: mondromy_lib, spectrum_lib

KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; weight filtration
          Bernstein polynomial; monodromy; spectrum; spectral pairs;
          good basis;
";

LIB "linalg.lib";

///////////////////////////////////////////////////////////////////////////////

static proc stdtrans(ideal I)
{
  def R=basering;

  string os=ordstr(R);
  int j=find(os,",C");
  if(j==0)
  {
    j=find(os,"C,");
  }
  if(j==0)
  {
    j=find(os,",c");
  }
  if(j==0)
  {
    j=find(os,"c,");
  }
  if(j>0)
  {
    os[j..j+1]="  ";
  }

  execute("ring S="+charstr(R)+",(gmspoly,"+varstr(R)+"),(c,dp,"+os+");");

  ideal I=homog(imap(R,I),gmspoly);
  module M=transpose(transpose(I)+freemodule(ncols(I)));
  M=std(M);

  setring(R);
  execute("map h=S,1,"+varstr(R)+";");
  module M=h(M);

  for(int i=ncols(M);i>=1;i--)
  {
    for(j=ncols(M);j>=1;j--)
    {
      if(M[i][1]==0)
      {
        M[i]=0;
      }
      if(i!=j&&M[j][1]!=0)
      {
        if(lead(M[i][1])/lead(M[j][1])!=0)
        {
          M[i]=0;
        }
      }
    }
  }

  M=transpose(simplify(M,2));
  I=M[1];
  attrib(I,"isSB",1);
  M=M[2..ncols(M)];
  module U=transpose(M);

  return(list(I,U));
}
///////////////////////////////////////////////////////////////////////////////

proc gmsring(poly t,string s)
"USAGE:    gmsring(t,s); poly t, string s
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
ring G;  Gauss-Manin system of t with variable s
  poly gmspoly=t;
  ideal gmsjacob;  Jacobian ideal of t
  ideal gmsstd;  standard basis of Jacobian ideal
  matrix gmsmatrix;  matrix(gmsjacob)*gmsmatrix==matrix(gmsstd)
  ideal gmsbasis;  monomial vector space basis of Jacobian algebra
  int gmsmaxdeg;  maximal weight of variables
@end format
NOTE:     gmsbasis is a C[[s]]-basis of H'' and [t,s]=s^2
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice
EXAMPLE:  example gmsring; shows examples
"
{
  def R=basering;
  if(charstr(R)!="0")
  {
    ERROR("characteristic 0 expected");
  }
  for(int i=nvars(R);i>=1;i--)
  {
    if(var(i)>1)
    {
      ERROR("local ordering expected");
    }
  }

  ideal dt=jacob(t);
  list l=stdtrans(dt);
  ideal g=l[1];
  if(vdim(g)<=0)
  {
    if(vdim(g)==0)
    {
      ERROR("singularity at 0 expected");
    }
    else
    {
      ERROR("isolated critical point 0 expected");
    }
  }
  matrix B=l[2];
  ideal m=kbase(g);

  int gmsmaxdeg;
  for(i=nvars(R);i>=1;i--)
  {
    if(deg(var(i))>gmsmaxdeg)
    {
      gmsmaxdeg=deg(var(i));
    }
  }

  string os=ordstr(R);
  int j=find(os,",C");
  if(j==0)
  {
    j=find(os,"C,");
  }
  if(j==0)
  {
    j=find(os,",c");
  }
  if(j==0)
  {
    j=find(os,"c,");
  }
  if(j>0)
  {
    os[j..j+1]="  ";
  }

  execute("ring G="+string(charstr(R))+",("+s+","+varstr(R)+"),(ws("+
    string(deg(highcorner(g))+2*gmsmaxdeg)+"),"+os+",c);");

  poly gmspoly=imap(R,t);
  ideal gmsjacob=imap(R,dt);
  ideal gmsstd=imap(R,g);
  matrix gmsmatrix=imap(R,B);
  ideal gmsbasis=imap(R,m);

  attrib(gmsstd,"isSB",1);
  export gmspoly,gmsjacob,gmsstd,gmsmatrix,gmsbasis,gmsmaxdeg;

  return(G);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  def G=gmsring(t,"s");
  setring(G);
  gmspoly;
  print(gmsjacob);
  print(gmsstd);
  print(gmsmatrix);
  print(gmsbasis);
  gmsmaxdeg;
}
///////////////////////////////////////////////////////////////////////////////

proc gmsnf(ideal p,int K)
"USAGE:    gmsnf(p,K); poly p, int K
ASSUME:   basering returned by gmsring
RETURN:
@format
list nf;
  ideal nf[1];  projection of p to <gmsbasis>C[[s]] mod s^(K+1)
  ideal nf[2];  p==nf[1]+nf[2]
@end format
NOTE:     computation can be continued by setting p=nf[2]
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice
EXAMPLE:  example gmsnf; shows examples
"
{
  if(system("with","gms"))
  {
    return(system("gmsnf",p,gmsstd,gmsmatrix,(K+1)*deg(var(1))-2*gmsmaxdeg,K));
  }

  intvec v=1;
  v[nvars(basering)]=0;

  int k;
  ideal r,q;
  r[ncols(p)]=0;
  q[ncols(p)]=0;

  poly s;
  int i,j;
  for(k=ncols(p);k>=1;k--)
  {
    while(p[k]!=0&&deg(lead(p[k]),v)<=K)
    {
      i=1;
      s=lead(p[k])/lead(gmsstd[i]);
      while(i<ncols(gmsstd)&&s==0)
      {
        i++;
        s=lead(p[k])/lead(gmsstd[i]);
      }
      if(s!=0)
      {
        p[k]=p[k]-s*gmsstd[i];
        for(j=1;j<=nrows(gmsmatrix);j++)
        {
          p[k]=p[k]+diff(s*gmsmatrix[j,i],var(j+1))*var(1);
        }
      }
      else
      {
        r[k]=r[k]+lead(p[k]);
        p[k]=p[k]-lead(p[k]);
      }
      while(deg(lead(p[k]))>(K+1)*deg(var(1))-2*gmsmaxdeg&&
        deg(lead(p[k]),v)<=K)
      {
        q[k]=q[k]+lead(p[k]);
        p[k]=p[k]-lead(p[k]);
      }
    }
    q[k]=q[k]+p[k];
  }

  return(list(r,q));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  def G=gmsring(t,"s");
  setring(G);
  list l0=gmsnf(gmspoly,0);
  print(l0[1]);
  list l1=gmsnf(gmspoly,1);
  print(l1[1]);
  list l=gmsnf(l0[2],1);
  print(l[1]);
}
///////////////////////////////////////////////////////////////////////////////

proc gmscoeffs(ideal p,int K)
"USAGE:    gmscoeffs(p,K); poly p, int K
ASSUME:   basering constructed by gmsring
RETURN:
@format
list l;
  matrix l[1];  C[[s]]-basis representation of p mod s^(K+1)
  ideal l[2];  p==matrix(gmsbasis)*l[1]+l[2]
@end format
NOTE:     computation can be continued by setting p=l[2]
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice
EXAMPLE:  example gmscoeffs; shows examples
"
{
  list l=gmsnf(p,K);
  ideal r,q=l[1..2];
  poly v=1;
  for(int i=2;i<=nvars(basering);i++)
  {
    v=v*var(i);
  }
  matrix C=coeffs(r,gmsbasis,v);
  return(C,q);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  def G=gmsring(t,"s");
  setring(G);
  list l0=gmscoeffs(gmspoly,0);
  print(l0[1]);
  list l1=gmscoeffs(gmspoly,1);
  print(l1[1]);
  list l=gmscoeffs(l0[2],1);
  print(l[1]);
}
///////////////////////////////////////////////////////////////////////////////

static proc nmin(ideal e)
{
  int i;
  number m=number(e[1]);
  for(i=2;i<=ncols(e);i++)
  {
    if(number(e[i])<m)
    {
      m=number(e[i]);
    }
  }
  return(m);
}
///////////////////////////////////////////////////////////////////////////////

static proc nmax(ideal e)
{
  int i;
  number m=number(e[1]);
  for(i=2;i<=ncols(e);i++)
  {
    if(number(e[i])>m)
    {
      m=number(e[i]);
    }
  }
  return(m);
}
///////////////////////////////////////////////////////////////////////////////

static proc saturate()
{
  int mu=ncols(gmsbasis);
  ideal r=gmspoly*gmsbasis;
  matrix A0[mu][mu],C;
  module H0;
  module H,H1=freemodule(mu),freemodule(mu);
  int k=-1;
  list l;

  dbprint(printlevel-voice+2,"// compute saturation of H''");
  while(size(reduce(H,std(H0*var(1))))>0)
  {
    dbprint(printlevel-voice+2,"// compute matrix A of t");
    k++;
    dbprint(printlevel-voice+2,"// k="+string(k));
    l=gmscoeffs(r,k);
    C,r=l[1..2];
    A0=A0+C;

    dbprint(printlevel-voice+2,"// compute saturation step");
    H0=H;
    H1=jet(module(A0*H1+var(1)^2*diff(matrix(H1),var(1))),k);
    H=H*var(1)+H1;
  }

  A0=A0-k*var(1);
  dbprint(printlevel-voice+2,"// compute basis of saturation of H''");
  H=std(H0);

  dbprint(printlevel-voice+2,"// transform H'' to saturation of H''");
  H0=division(freemodule(mu)*var(1)^k,H,k*deg(var(1)))[1];

  return(A0,r,H,H0,k);
}
///////////////////////////////////////////////////////////////////////////////

static proc tjet(matrix A0,ideal r,module H,int k0,int K)
{
  dbprint(printlevel-voice+2,"// compute matrix A of t");
  dbprint(printlevel-voice+2,"// k="+string(K+k0+1));
  list l=gmscoeffs(r,K+k0+1);
  matrix C;
  C,r=l[1..2];
  A0=A0+C;
  dbprint(printlevel-voice+2,"// transform A to saturation of H''");
  matrix A=division(A0*H+var(1)^2*diff(matrix(H),var(1)),H,
    (K+1)*deg(var(1)))[1]/var(1);
  return(A,A0,r);
}
///////////////////////////////////////////////////////////////////////////////

static proc eigenval(matrix A0,ideal r,module H,int k0)
{
  dbprint(printlevel-voice+2,
    "// compute eigenvalues e with multiplicities m of A1");
  matrix A;
  A,A0,r=tjet(A0,r,H,k0,0);
  list l=eigenvals(A);
  def e,m=l[1..2];
  dbprint(printlevel-voice+2,"// e="+string(e));
  dbprint(printlevel-voice+2,"// m="+string(m));
  return(e,m,A0,r);
}
///////////////////////////////////////////////////////////////////////////////

static proc transform(matrix A,matrix A0,ideal r,module H,module H0,ideal e,
  intvec m,int k0,int K,int opt)
{
  int mu=ncols(gmsbasis);

  number e0,e1=nmin(e),nmax(e);

  int i,j,k;
  intvec d;
  d[ncols(e)]=0;
  if(opt)
  {
    dbprint(printlevel-voice+2,
      "// compute rounded maximal differences d of e");
    for(i=1;i<=ncols(e);i++)
    {
      d[i]=int(e[i]-e0);
    }
  }
  else
  {
    dbprint(printlevel-voice+2,
      "// compute maximal integer differences d of e");
    for(i=1;i<ncols(e);i++)
    {
      for(j=i+1;j<=ncols(e);j++)
      {
        k=int(e[i]-e[j]);
        if(number(e[i]-e[j])==k)
        {
          if(k>d[i])
          {
            d[i]=k;
          }
          if(-k>d[j])
          {
            d[j]=-k;
          }
        }
      }
    }
  }
  dbprint(printlevel-voice+2,"// d="+string(d));

  for(i,k=1,0;i<=size(d);i++)
  {
    if(k<d[i])
    {
      k=d[i];
    }
  }

  A,A0,r=tjet(A0,r,H,k0,K+k);
  module U0=var(1)^k0*freemodule(mu);

  if(k>0)
  {
    int i0,j0,i1,j1;
    module U,V;
    list l;

    while(k>0)
    {
      dbprint(printlevel-voice+2,"// transform to separate eigenvalues");
      U=0;
      for(i=1;i<=ncols(e);i++)
      {
        U=U+syz(power(jet(A,0)-e[i],m[i]));
      }
      V=inverse(U);
      A=V*A*U;
      H0=V*H0;
      U0=U0*U;

      dbprint(printlevel-voice+2,
        "// transform to reduce maximum of d by 1");
      for(i0,i=1,1;i0<=ncols(e);i0++)
      {
        for(i1=1;i1<=m[i0];i1,i=i1+1,i+1)
        {
          for(j0,j=1,1;j0<=ncols(e);j0++)
          {
            for(j1=1;j1<=m[j0];j1,j=j1+1,j+1)
            {
              if(d[i0]==0&&d[j0]>0)
              {
                A[i,j]=A[i,j]/var(1);
              }
              if(d[i0]>0&&d[j0]==0)
              {
                A[i,j]=A[i,j]*var(1);
              }
            }
          }
        }
      }

      H0=transpose(H0);
      for(i0,i=1,1;i0<=ncols(e);i0++)
      {
        if(d[i0]>0)
        {
          for(i1=1;i1<=m[i0];i1,i=i1+1,i+1)
          {
            A[i,i]=A[i,i]-1;
            H0[i]=H0[i]*var(1);
            U0[i]=U0[i]/var(1);
          }
          e[i0]=e[i0]-1;
          d[i0]=d[i0]-1;
        }
        else
        {
          i=i+m[i0];
        }
      }
      H0=transpose(H0);

      l=sppnf(list(e,d,m));
      e,d,m=l[1..3];

      k--;
    }

    A=jet(A,K);
  }

  return(A,A0,r,H0,U0,e,m);
}
///////////////////////////////////////////////////////////////////////////////

proc bernstein(poly t)
"USAGE:    bernstein(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:   ideal r;  roots of the Bernstein polynomial b excluding the root -1
NOTE:     the roots of b are negative rational numbers and -1 is a root of b
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          Bernstein polynomial
EXAMPLE:  example bernstein; shows examples
"
{
  def R=basering;
  int n=nvars(R)-1;
  def G=gmsring(t,"s");
  setring(G);

  matrix A;
  module U0;
  ideal e;
  intvec m;

  def A0,r,H,H0,k0=saturate();
  A,A0,r=tjet(A0,r,H,k0,0);
  list l=minipoly(A);
  e,m=l[1..2];

  for(int i=1;i<=ncols(e);i++)
  {
    e[i]=-e[i];
    if(e[i]==-1)
    {
      m[i]=m[i]+1;
    }
  }

  setring(R);
  ideal e=imap(G,e);
  kill G,gmsmaxdeg;

  return(list(e,m));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  bernstein(t);
}
///////////////////////////////////////////////////////////////////////////////

proc monodromy(poly t)
"USAGE:    monodromy(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list l;  Jordan data jordan(M) of monodromy matrix exp(-2*pi*i*M)
  ideal l[1];
    number l[1][i];  eigenvalue of i-th Jordan block of M
  intvec l[2];
    int l[2][i];  size of i-th Jordan block of M
  intvec l[3];
    int l[3][i];  multiplicity of i-th Jordan block of M
@end format
SEE ALSO: mondromy_lib, linalg_lib
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice; monodromy
EXAMPLE:  example monodromy; shows examples
"
{
  def R=basering;
  int n=nvars(R)-1;
  def G=gmsring(t,"s");
  setring(G);

  matrix A;
  module U0;
  ideal e;
  intvec m;

  def A0,r,H,H0,k0=saturate();
  e,m,A0,r=eigenval(A0,r,H,k0);
  A,A0,r,H0,U0,e,m=transform(A,A0,r,H,H0,e,m,k0,0,0);

  list l=jordan(A,e,m);
  setring(R);
  list l=imap(G,l);
  kill G,gmsmaxdeg;

  return(l);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  monodromy(t);
}
///////////////////////////////////////////////////////////////////////////////

proc spectrum(poly t)
"USAGE:    spectrum(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list sp;  singularity spectrum of t
  ideal sp[1];
    number sp[1][i];  i-th spectral number
  intvec sp[2];
    int sp[2][i];  multiplicity of i-th spectral number
@end format
SEE ALSO: spectrum_lib
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; spectrum
EXAMPLE:  example spectrum; shows examples
"
{
  list l=vwfilt(t);
  return(spnf(list(l[1],l[3])));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  spprint(spectrum(t));
}
///////////////////////////////////////////////////////////////////////////////

proc sppairs(poly t)
"USAGE:    sppairs(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list spp;  spectral pairs of t
  ideal spp[1];
    number spp[1][i];  V-filtration index of i-th spectral pair
  intvec spp[2];
    int spp[2][i];  weight filtration index of i-th spectral pair
  intvec spp[3];
    int spp[3][i];  multiplicity of i-th spectral pair
@end format
SEE ALSO: spectrum_lib
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; weight filtration;
          spectrum; spectral pairs
EXAMPLE:  example sppairs; shows examples
"
{
  list l=vwfilt(t);
  return(list(l[1],l[2],l[3]));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  sppprint(sppairs(t));
}
///////////////////////////////////////////////////////////////////////////////

proc vfilt(poly t)
"USAGE:    vfilt(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list v;  V-filtration on H''/s*H''
  ideal v[1];
    number v[1][i];  V-filtration index of i-th spectral number
  intvec v[2];
    int v[2][i];  multiplicity of i-th spectral number
  list v[3];
    module v[3][i];  vector space of i-th graded part in terms of v[4]
  ideal v[4];  monomial vector space basis of H''/s*H''
  ideal v[5];  standard basis of Jacobian ideal
@end format
SEE ALSO: spectrum_lib
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; spectrum
EXAMPLE:  example vfilt; shows examples
"
{
  list l=vwfilt(t);
  return(spnf(list(l[1],l[3],l[4]))+list(l[5],l[6]));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  vfilt(t);
}
///////////////////////////////////////////////////////////////////////////////

proc vwfilt(poly t)
"USAGE:    vwfilt(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list vw;  weighted V-filtration on H''/s*H''
  ideal vw[1];
    number vw[1][i];  V-filtration index of i-th spectral pair
  intvec vw[2];
    int vw[2][i];  weight filtration index of i-th spectral pair
  intvec vw[3];
    int vw[3][i];  multiplicity of i-th spectral pair
  list vw[4];
    module vw[4][i];  vector space of i-th graded part in terms of vw[5]
  ideal vw[5];  monomial vector space basis of H''/s*H''
  ideal vw[6];  standard basis of Jacobian ideal
@end format
SEE ALSO: spectrum_lib
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; weight filtration;
          spectrum; spectral pairs
EXAMPLE:  example vwfilt; shows examples
"
{
  def R=basering;
  int n=nvars(R)-1;
  def G=gmsring(t,"s");
  setring(G);

  int mu=ncols(gmsbasis);
  matrix A;
  module U0;
  ideal e;
  intvec m;

  def A0,r,H,H0,k0=saturate();
  e,m,A0,r=eigenval(A0,r,H,k0);
  A,A0,r,H0,U0,e,m=transform(A,A0,r,H,H0,e,m,k0,0,1);

  dbprint(printlevel-voice+2,"// compute weight filtration basis");
  list l=jordanbasis(A,e,m);
  def U,v=l[1..2];
  kill l;
  vector u0;
  int v0;
  int i,j,k,l;
  for(k,l=1,1;l<=ncols(e);k,l=k+m[l],l+1)
  {
    for(i=k+m[l]-1;i>=k+1;i--)
    {
      for(j=i-1;j>=k;j--)
      {
        if(v[i]>v[j])
        {
          v0=v[i];v[i]=v[j];v[j]=v0;
          u0=U[i];U[i]=U[j];U[j]=u0;
        }
      }
    }
  }

  dbprint(printlevel-voice+2,"// transform to weight filtration basis");
  matrix V=inverse(U);
  A=V*A*U;
  dbprint(printlevel-voice+2,"// compute standard basis of H''");
  H0=std(V*H0);
  U0=U0*U;

  dbprint(printlevel-voice+2,"// compute spectral pairs");
  ideal a;
  intvec w;
  for(i=1;i<=mu;i++)
  {
    j=leadexp(H0[i])[nvars(basering)+1];
    a[i]=A[j,j]+ord(H0[i])/deg(var(1))-1;
    w[i]=v[j]+n;
  }
  kill v;
  module v=simplify(jet(H*U0*H0,2*k0)/var(1)^(2*k0),1);

  kill l;
  list l=sppnf(list(a,w,v))+list(gmsbasis,gmsstd);
  setring(R);
  list l=imap(G,l);
  kill G,gmsmaxdeg;
  attrib(l[5],"isSB",1);

  return(l);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  vwfilt(t);
}
///////////////////////////////////////////////////////////////////////////////

static proc commutator(matrix A)
{
  int n=ncols(A);
  int i,j,k;
  matrix C[n^2][n^2];
  for(i=0;i<n;i++)
  {
    for(j=0;j<n;j++)
    {
      for(k=0;k<n;k++)
      {
        C[i*n+j+1,k*n+j+1]=C[i*n+j+1,k*n+j+1]+A[i+1,k+1];
        C[i*n+j+1,i*n+k+1]=C[i*n+j+1,i*n+k+1]-A[k+1,j+1];
      }
    }
  }
  return(C);
}

///////////////////////////////////////////////////////////////////////////////

proc tmatrix(poly t,list #)
"USAGE:    tmatrix(t); poly t
ASSUME:   characteristic 0; local degree ordering;
          isolated critical point 0 of t
RETURN:
@format
list l=A0,A1,T,M;
  matrix A0,A1;  t=A0+s*A1+s^2*(d/ds) on H'' w.r.t. C[[s]]-basis M*T
  module T;  C-basis of C^mu
  ideal M;  monomial C-basis of H''/sH''
@end format
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; good basis
EXAMPLE:  example tmatrix; shows examples
"
{
  def R=basering;
  int n=nvars(R)-1;
  def G=gmsring(t,"s");
  setring(G);

  int mu=ncols(gmsbasis);
  matrix A;
  module U0;
  ideal e;
  intvec m;

  def A0,r,H,H0,k0=saturate();
  e,m,A0,r=eigenval(A0,r,H,k0);
  int k1=int(nmax(e)-nmin(e));
  A,A0,r,H0,U0,e,m=transform(A,A0,r,H,H0,e,m,k0,k0+k1,1);
  module T=H*U0;

  ring S=0,s,(ds,c);
  matrix A=imap(G,A);
  module H0=imap(G,H0);
  module T=imap(G,T);
  ideal e=imap(G,e);

  dbprint(printlevel-voice+2,"// transform to Jordan basis");
  module U=jordanbasis(A,e,m)[1];
  matrix V=inverse(U);
  A=V*A*U;
  module H=V*H0;
  T=T*U;

  dbprint(printlevel-voice+2,"// compute splitting of V-filtration");
  int i,j,k;
  U=freemodule(mu);
  V=matrix(0,mu,mu);
  matrix v[mu^2][1];
  matrix A0=commutator(jet(A,0));
  for(k=1;k<=k0+k1;k++)
  {
    for(j=0;j<k;j++)
    {
      V=matrix(V)-(jet(A,k-j)/var(1)^(k-j))*(jet(U,j)/var(1)^j);
    }
    v=V[1..mu,1..mu];
    v=inverse(A0+k)*v;
    V=v[1..mu^2,1];
    U=matrix(U)+var(1)^k*V;
  }
  attrib(U,"isSB",1);

  dbprint(printlevel-voice+2,"// transform to V-splitting basis");
  A=jet(A,0);
  H=std(division(H,U,(k0+k1)*deg(var(1)))[1]);
  T=T*U;

  dbprint(printlevel-voice+2,"// compute V-leading terms of H''");
  int i0,j0;
  module H1=H;
  for(k=ncols(H1);k>=1;k--)
  {
    i0=leadexp(H1[k])[nvars(basering)+1];
    j0=ord(H1[k]);
    H0[k]=lead(H1[k]);
    H1[k]=H1[k]-lead(H1[k]);
    if(H1[k]!=0)
    {
      i=leadexp(H1[k])[nvars(basering)+1];
      j=ord(H1[k]);
      while(A[i,i]+j==A[i0,i0]+j0)
      {
        H0[k]=H0[k]+lead(H1[k]);
        H1[k]=H1[k]-lead(H1[k]);
        i=leadexp(H1[k])[nvars(basering)+1];
        j=ord(H1[k]);
      }
    }
  }
  H0=simplify(H0,1);

  dbprint(printlevel-voice+2,"// compute N");
  matrix N=A;
  for(i=1;i<=ncols(N);i++)
  {
    N[i,i]=0;
  }

  dbprint(printlevel-voice+2,"// compute splitting of Hodge filtration");
  U=0;
  module U1;
  module C;
  list F,I;
  module F0,I0,U0;
  for(i0,j0=1,1;i0<=ncols(e);i0++)
  {
    C=matrix(0,mu,1);
    for(j=m[i0];j>=1;j,j0=j-1,j0+1)
    {
      C=C+gen(j0);
    }
    F0=intersect(C,H0);

    F=list();
    j=0;
    while(size(F0)>0)
    {
      j++;
      F[j]=matrix(0,mu,1);
      if(size(jet(F0,0))>0)
      {
        for(i=ncols(F0);i>=1;i--)
        {
          if(ord(F0[i])==0)
          {
            F[j]=F[j]+F0[i];
          }
        }
      }
      for(i=ncols(F0);i>=1;i--)
      {
        F0[i]=F0[i]/var(1);
      }
    }

    I=list();
    I0=module();
    U0=std(module());
    for(i=size(F);i>=1;i--)
    {
      I[i]=module();
    }
    for(i=1;i<=size(F);i++)
    {
      I0=reduce(F[i],U0);
      j=i;
      while(size(I0)>0)
      {
        U0=std(U0+I0);
        I[j]=I[j]+I0;
        I0=reduce(N*matrix(I0,nrows(N),ncols(N)),U0);
        j++;
      }
    }

    for(i=1;i<=size(I);i++)
    {
      U=U+I[i];
    }
  }

  dbprint(printlevel-voice+2,"// transform to Hodge splitting basis");
  V=inverse(U);
  A=V*A*U;
  H=V*H;
  T=T*U;

  dbprint(printlevel-voice+2,"// compute reduced standard basis of H''");
  degBound=k0+k1+2;
  option(redSB);
  H=std(H);
  option(noredSB);
  degBound=0;
  H=simplify(jet(H,k0+k1),1);
  attrib(H,"isSB",1);
  dbprint(printlevel-voice+2,"// compute matrix A0+sA1 of t");
  A=division(var(1)*A*H+var(1)^2*diff(matrix(H),var(1)),H,deg(var(1)))[1];
  A0=jet(A,0);
  A=jet(A,1)/var(1);
  T=jet(T*H,2*k0)/var(1)^(2*k0);

  setring(R);
  matrix A0=imap(S,A0);
  matrix A1=imap(S,A);
  module T=imap(S,T);
  ideal M=imap(G,gmsbasis);
  kill G,gmsmaxdeg;
  kill S;
  return(list(A0,A1,T,M));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  list A=tmatrix(t);
  print(A[1]);
  print(A[2]);
  print(A[3]);
  print(A[4]);
}
///////////////////////////////////////////////////////////////////////////////

proc endvfilt(list v)
"USAGE:   endvfilt(v); list v
ASSUME:  v returned by vfilt
RETURN:
@format
list ev;  V-filtration on Jacobian algebra
  ideal ev[1];
    number ev[1][i];  i-th V-filtration index
  intvec ev[2];
    int ev[2][i];  i-th multiplicity
  list ev[3];
    module ev[3][i];  vector space of i-th graded part in terms of ev[4]
  ideal ev[4];  monomial vector space basis of Jacobian algebra
  ideal ev[5];  standard basis of Jacobian ideal
@end format
KEYWORDS: singularities; Gauss-Manin system; Brieskorn lattice;
          mixed Hodge structure; V-filtration; endomorphism filtration
EXAMPLE:  example endvfilt; shows examples
"
{
  def a,d,V,m,g=v[1..5];
  attrib(g,"isSB",1);
  int mu=ncols(m);

  module V0=V[1];
  for(int i=2;i<=size(V);i++)
  {
    V0=V0,V[i];
  }

  dbprint(printlevel-voice+2,"// compute multiplication in Jacobian algebra");
  list M;
  module U=freemodule(ncols(m));
  for(i=ncols(m);i>=1;i--)
  {
    M[i]=division(coeffs(reduce(m[i]*m,g,U),m)*V0,V0)[1];
  }

  int j,k,i0,j0,i1,j1;
  number b0=number(a[1]-a[ncols(a)]);
  number b1,b2;
  matrix M0;
  module L;
  list v0=freemodule(ncols(m));
  ideal a0=b0;
  list l;

  while(b0<number(a[ncols(a)]-a[1]))
  {
    dbprint(printlevel-voice+2,"// find next possible index");
    b1=number(a[ncols(a)]-a[1]);
    for(j=ncols(a);j>=1;j--)
    {
      for(i=ncols(a);i>=1;i--)
      {
        b2=number(a[i]-a[j]);
        if(b2>b0&&b2<b1)
        {
          b1=b2;
        }
        else
        {
          if(b2<=b0)
          {
            i=0;
          }
        }
      }
    }
    b0=b1;

    l=ideal();
    for(k=ncols(m);k>=2;k--)
    {
      l=l+list(ideal());
    }

    dbprint(printlevel-voice+2,"// collect conditions for EV["+string(b0)+"]");
    j=ncols(a);
    j0=mu;
    while(j>=1)
    {
      i0=1;
      i=1;
      while(i<ncols(a)&&a[i]<a[j]+b0)
      {
        i0=i0+d[i];
        i++;
      }
      if(a[i]<a[j]+b0)
      {
        i0=i0+d[i];
        i++;
      }
      for(k=1;k<=ncols(m);k++)
      {
        M0=M[k];
        if(i0>1)
        {
          l[k]=l[k],M0[1..i0-1,j0-d[j]+1..j0];
        }
      }
      j0=j0-d[j];
      j--;
    }

    dbprint(printlevel-voice+2,"// compose condition matrix");
    L=transpose(module(l[1]));
    for(k=2;k<=ncols(m);k++)
    {
      L=L,transpose(module(l[k]));
    }

    dbprint(printlevel-voice+2,"// compute kernel of condition matrix");
    v0=v0+list(syz(L));
    a0=a0,b0;
  }

  dbprint(printlevel-voice+2,"// compute graded parts");
  option(redSB);
  for(i=1;i<size(v0);i++)
  {
    v0[i+1]=std(v0[i+1]);
    v0[i]=std(reduce(v0[i],v0[i+1]));
  }
  option(noredSB);

  dbprint(printlevel-voice+2,"// remove trivial graded parts");
  i=1;
  while(size(v0[i])==0)
  {
    i++;
  }
  list v1=v0[i];
  intvec d1=size(v0[i]);
  ideal a1=a0[i];
  i++;
  while(i<=size(v0))
  {
    if(size(v0[i])>0)
    {
      v1=v1+list(v0[i]);
      d1=d1,size(v0[i]);
      a1=a1,a0[i];
    }
    i++;
  }
  return(list(a1,d1,v1,m,g));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  poly t=x5+x2y2+y5;
  endvfilt(vfilt(t));
}
///////////////////////////////////////////////////////////////////////////////

proc sppnf(list sp)
"USAGE:   sppnf(list(a,w[,m])); ideal a, intvec w, intvec m
ASSUME:  ncols(e)==size(w)==size(m)
RETURN:  order (a[i][,w[i]]) with multiplicity m[i] lexicographically
EXAMPLE: example sppnf; shows examples
"
{
  ideal a=sp[1];
  intvec w=sp[2];
  int n=ncols(a);
  intvec m;
  list V;
  module v;
  int i,j;
  for(i=3;i<=size(sp);i++)
  {
    if(typeof(sp[i])=="intvec")
    {
      m=sp[i];
    }
    if(typeof(sp[i])=="module")
    {
      v=sp[i];
      for(j=n;j>=1;j--)
      {
        V[j]=module(v[j]);
      }
    }
    if(typeof(sp[i])=="list")
    {
      V=sp[i];
    }
  }
  if(m==0)
  {
    for(i=n;i>=1;i--)
    {
      m[i]=1;
    }
  }

  int k;
  ideal a0;
  intvec w0,m0;
  list V0;
  number a1;
  int w1,m1;
  for(i=n;i>=1;i--)
  {
    if(m[i]!=0)
    {
      for(j=i-1;j>=1;j--)
      {
        if(m[j]!=0)
        {
          if(number(a[i])>number(a[j])||
            (number(a[i])==number(a[j])&&w[i]<w[j]))
          {
            a1=number(a[i]);
            a[i]=a[j];
            a[j]=a1;
            w1=w[i];
            w[i]=w[j];
            w[j]=w1;
            m1=m[i];
            m[i]=m[j];
            m[j]=m1;
            if(size(V)>0)
            {
              v=V[i];
              V[i]=V[j];
              V[j]=v;
            }
          }
          if(number(a[i])==number(a[j])&&w[i]==w[j])
          {
            m[i]=m[i]+m[j];
            m[j]=0;
            if(size(V)>0)
            {
              V[i]=V[i]+V[j];
            }
          }
        }
      }
      k++;
      a0[k]=a[i];
      w0[k]=w[i];
      m0[k]=m[i];
      if(size(V)>0)
      {
        V0[k]=V[i];
      }
    }
  }

  if(size(V0)>0)
  {
    n=size(V0);
    module U=std(V0[n]);
    for(i=n-1;i>=1;i--)
    {
      V0[i]=simplify(reduce(V0[i],U),1);
      if(i>=2)
      {
        U=std(U+V0[i]);
      }
    }
  }

  if(k>0)
  {
    sp=a0,w0,m0;
    if(size(V0)>0)
    {
      sp[4]=V0;
    }
  }
  return(sp);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp=list(ideal(-1/2,-3/10,-3/10,-1/10,-1/10,0,1/10,1/10,3/10,3/10,1/2),intvec(2,1,1,1,1,1,1,1,1,1,0));
  sppprint(sppnf(sp));
}
///////////////////////////////////////////////////////////////////////////////

proc sppprint(list spp)
"USAGE:   sppprint(spp); list spp
RETURN:  string s;  spectral pairs spp
EXAMPLE: example sppprint; shows examples
"
{
  string s;
  for(int i=1;i<size(spp[3]);i++)
  {
    s=s+"(("+string(spp[1][i])+","+string(spp[2][i])+"),"+string(spp[3][i])+"),";
  }
  s=s+"(("+string(spp[1][i])+","+string(spp[2][i])+"),"+string(spp[3][i])+")";
  return(s);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list spp=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(2,1,1,1,1,1,0),intvec(1,2,2,1,2,2,1));
  sppprint(spp);
}
///////////////////////////////////////////////////////////////////////////////

proc spadd(list sp1,list sp2)
"USAGE:   spadd(sp1,sp2); list sp1, list sp2
RETURN:  list sp;  sum of spectra sp1 and sp2
EXAMPLE: example spadd; shows examples
"
{
  ideal s;
  intvec m;
  int i,i1,i2=1,1,1;
  while(i1<=size(sp1[2])||i2<=size(sp2[2]))
  {
    if(i1<=size(sp1[2]))
    {
      if(i2<=size(sp2[2]))
      {
        if(number(sp1[1][i1])<number(sp2[1][i2]))
        {
          s[i]=sp1[1][i1];
          m[i]=sp1[2][i1];
          i++;
          i1++;
        }
        else
        {
          if(number(sp1[1][i1])>number(sp2[1][i2]))
          {
            s[i]=sp2[1][i2];
            m[i]=sp2[2][i2];
            i++;
            i2++;
          }
          else
          {
            if(sp1[2][i1]+sp2[2][i2]!=0)
            {
              s[i]=sp1[1][i1];
              m[i]=sp1[2][i1]+sp2[2][i2];
              i++;
            }
            i1++;
            i2++;
          }
        }
      }
      else
      {
        s[i]=sp1[1][i1];
        m[i]=sp1[2][i1];
        i++;
        i1++;
      }
    }
    else
    {
      s[i]=sp2[1][i2];
      m[i]=sp2[2][i2];
      i++;
      i2++;
    }
  }
  return(list(s,m));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp1=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp1);
  list sp2=list(ideal(-1/6,1/6),intvec(1,1));
  spprint(sp2);
  spprint(spadd(sp1,sp2));
}
///////////////////////////////////////////////////////////////////////////////

proc spsub(list sp1,list sp2)
"USAGE:   spsub(sp1,sp2); list sp1, list sp2
RETURN:  list sp;  difference of spectra sp1 and sp2
EXAMPLE: example spsub; shows examples
"
{
  return(spadd(sp1,spmul(sp2,-1)));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp1=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp1);
  list sp2=list(ideal(-1/6,1/6),intvec(1,1));
  spprint(sp2);
  spprint(spsub(sp1,sp2));
}
///////////////////////////////////////////////////////////////////////////////

proc spmul(list #)
"USAGE:   spmul(sp0,k); list sp0, int[vec] k
RETURN:  list sp;  linear combination of spectra sp0 with coefficients k
EXAMPLE: example spmul; shows examples
"
{
  if(size(#)==2)
  {
    if(typeof(#[1])=="list")
    {
      if(typeof(#[2])=="int")
      {
        return(list(#[1][1],#[1][2]*#[2]));
      }
      if(typeof(#[2])=="intvec")
      {
        list sp0=list(ideal(),intvec(0));
        for(int i=size(#[2]);i>=1;i--)
        {
          sp0=spadd(sp0,spmul(#[1][i],#[2][i]));
        }
        return(sp0);
      }
    }
  }
  return(list(ideal(),intvec(0)));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp);
  spprint(spmul(sp,2));
  list sp1=list(ideal(-1/6,1/6),intvec(1,1));
  spprint(sp1);
  list sp2=list(ideal(-1/3,0,1/3),intvec(1,2,1));
  spprint(sp2);
  spprint(spmul(list(sp1,sp2),intvec(1,2)));
}
///////////////////////////////////////////////////////////////////////////////

proc spissemicont(list sp,list #)
"USAGE:   spissemicont(sp[,1]); list sp, int opt
RETURN:
@format
int k=
  1;  if sum of sp is positive on all intervals [a,a+1) [and (a,a+1)]
  0;  if sum of sp is negative on some interval [a,a+1) [or (a,a+1)]
@end format
EXAMPLE: example spissemicont; shows examples
"
{
  int opt=0;
  if(size(#)>0)
  {
    if(typeof(#[1])=="int")
    {
      opt=1;
    }
  }
  int i,j,k;
  i=1;
  while(i<=size(sp[2])-1)
  {
    j=i+1;
    k=0;
    while(j+1<=size(sp[2])&&number(sp[1][j])<=number(sp[1][i])+1)
    {
      if(opt==0||number(sp[1][j])<number(sp[1][i])+1)
      {
        k=k+sp[2][j];
      }
      j++;
    }
    if(j==size(sp[2])&&number(sp[1][j])<=number(sp[1][i])+1)
    {
      if(opt==0||number(sp[1][j])<number(sp[1][i])+1)
      {
        k=k+sp[2][j];
      }
    }
    if(k<0)
    {
      return(0);
    }
    i++;
  }
  return(1);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp1=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp1);
  list sp2=list(ideal(-1/6,1/6),intvec(1,1));
  spprint(sp2);
  spissemicont(spsub(sp1,spmul(sp2,3)));
  spissemicont(spsub(sp1,spmul(sp2,4)));
}
///////////////////////////////////////////////////////////////////////////////

proc spsemicont(list sp0,list sp,list #)
"USAGE:   spsemicont(sp0,sp,k[,1]); list sp0, list sp
RETURN:
@format
list l;
  intvec l[i];  if the spectra sp0 occur with multiplicities k
                in a deformation of a [quasihomogeneous] singularity
                with spectrum sp then k<=l[i]
@end format
EXAMPLE: example spsemicont; shows examples
"
{
  list l,l0;
  int i,j,k;
  while(spissemicont(sp0,#))
  {
    if(size(sp)>1)
    {
      l0=spsemicont(sp0,list(sp[1..size(sp)-1]));
      for(i=1;i<=size(l0);i++)
      {
        if(size(l)>0)
        {
          j=1;
          while(j<size(l)&&l[j]!=l0[i])
          {
            j++;
          }
          if(l[j]==l0[i])
          {
            l[j][size(sp)]=k;
          }
          else
          {
            l0[i][size(sp)]=k;
            l=l+list(l0[i]);
          }
        }
        else
        {
          l=l0;
        }
      }
    }
    sp0=spsub(sp0,sp[size(sp)]);
    k++;
  }
  if(size(sp)>1)
  {
    return(l);
  }
  else
  {
    return(list(intvec(k-1)));
  }
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp0=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp0);
  list sp1=list(ideal(-1/6,1/6),intvec(1,1));
  spprint(sp1);
  list sp2=list(ideal(-1/3,0,1/3),intvec(1,2,1));
  spprint(sp2);
  list sp=sp1,sp2;
  list l=spsemicont(sp0,sp);
  l;
  spissemicont(spsub(sp0,spmul(sp,l[1])));
  spissemicont(spsub(sp0,spmul(sp,l[1]-1)));
  spissemicont(spsub(sp0,spmul(sp,l[1]+1)));
}
///////////////////////////////////////////////////////////////////////////////

proc spmilnor(list sp)
"USAGE:   spmilnor(sp); list sp
RETURN:  int mu;  Milnor number of spectrum sp
EXAMPLE: example spmilnor; shows examples
"
{
  return(sum(sp[2]));
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp);
  spmilnor(sp);
}
///////////////////////////////////////////////////////////////////////////////

proc spgeomgenus(list sp)
"USAGE:   spgeomgenus(sp); list sp
RETURN:  int g;  geometrical genus of spectrum sp
EXAMPLE: example spgeomgenus; shows examples
"
{
  int g=0;
  int i=1;
  while(i+1<=size(sp[2])&&number(sp[1][i])<=number(0))
  {
    g=g+sp[2][i];
    i++;
  }
  if(i==size(sp[2])&&number(sp[1][i])<=number(0))
  {
    g=g+sp[2][i];
  }
  return(g);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp);
  spgeomgenus(sp);
}
///////////////////////////////////////////////////////////////////////////////

proc spgamma(list sp)
"USAGE:   spgamma(sp); list sp
RETURN:  number gamma;  gamma invariant of spectrum sp
EXAMPLE: example spgamma; shows examples
"
{
  int i,j;
  number g=0;
  for(i=1;i<=ncols(sp[1]);i++)
  {
    for(j=1;j<=sp[2][i];j++)
    {
      g=g+(number(sp[1][i])-number(nvars(basering)-2)/2)^2;
    }
  }
  g=-g/4+sum(sp[2])*number(sp[1][ncols(sp[1])]-sp[1][1])/48;
  return(g);
}
example
{ "EXAMPLE:"; echo=2;
  ring R=0,(x,y),ds;
  list sp=list(ideal(-1/2,-3/10,-1/10,0,1/10,3/10,1/2),intvec(1,2,2,1,2,2,1));
  spprint(sp);
  spgamma(sp);
}
///////////////////////////////////////////////////////////////////////////////