Home Online Manual
Top
Back: annfsParamBM
Forward: checkRoot
FastBack: central_lib
FastForward: dmodapp_lib
Up: dmod_lib
Top: Singular Manual
Contents: Table of Contents
Index: Index
About: About this document
7.7.4.0. annfsBMI
Procedure from library dmod.lib (see dmod_lib).

Usage:
annfsBMI(F [,eng,met,us]); F an ideal, eng, met, us optional ints

Return:
ring

Purpose:
compute two kinds of Bernstein-Sato ideals, associated to
f = F[1]*..*F[P], with the multivariate algorithm by Briancon and Maisonobe.

Note:
activate the output ring with the setring command. In this ring,
- the ideal LD is the annihilator of F[1]^s_1*..*F[P]^s_p,
- the list or ideal BS is a Bernstein-Sato ideal of a polynomial f = F[1]*..*F[P].
If eng <>0, std is used for Groebner basis computations,
otherwise, and by default slimgb is used.
If met <0, the B-Sigma ideal (cf. Castro and Ucha,
'On the computation of Bernstein-Sato ideals', 2005) is computed.
If 0 < met < P, then the ideal B_P (cf. the paper) is computed.
Otherwise, and by default, the ideal B (cf. the paper) is computed.
If us<>0, then syzygies-driven method is used.
If the output ideal happens to be principal, the list of factors
with their multiplicities is returned instead of the ideal.
If printlevel=1, progress debug messages will be printed,
if printlevel>=2, all the debug messages will be printed.

Example:
 
LIB "dmod.lib";
ring r = 0,(x,y),Dp;
ideal F = x,y,x+y;
printlevel = 0;
// *1* let us compute the B ideal
def A = annfsBMI(F);    setring A;
LD; // annihilator
==> LD[1]=x*Dx+y*Dy-s(1)-s(2)-s(3)
==> LD[2]=x*y*Dy+y^2*Dy-x*s(2)-y*s(2)-y*s(3)
==> LD[3]=y^2*Dx*Dy-y^2*Dy^2+y*Dy*s(1)-y*Dx*s(2)+2*y*Dy*s(2)-y*Dx*s(3)+y*Dy*s\
   (3)-s(1)*s(2)-s(2)^2-s(2)*s(3)-s(2)
BS; // Bernstein-Sato ideal
==> [1]:
==>    _[1]=s(1)+1
==>    _[2]=s(2)+1
==>    _[3]=s(1)+s(2)+s(3)+3
==>    _[4]=s(1)+s(2)+s(3)+2
==>    _[5]=s(1)+s(2)+s(3)+4
==>    _[6]=s(3)+1
==> [2]:
==>    1,1,1,1,1,1
// *2* now, let us compute B-Sigma ideal
setring r;
def Sigma = annfsBMI(F,0,-1); setring Sigma;
print(matrix(lead(LD))); // compact form of leading
==> x*Dx,x*y*Dy,y^2*Dx*Dy
//  monomials from the annihilator
BS; // Bernstein-Sato B-Sigma ideal: it is principal,
==> [1]:
==>    _[1]=s(1)+s(2)+s(3)+2
==> [2]:
==>    1
// so factors and multiplicities are returned
// *3* and now, let us compute B-i ideal
setring r;
def Bi = annfsBMI(F,0,3); // that is F[3]=x+y is taken
setring Bi;
print(matrix(lead(LD)));   // compact form of leading
==> x*Dx,x*y*Dy,y^2*Dx*Dy
//  monomials from the annihilator
BS; // the B_3 ideal: it is principal, so factors
==> [1]:
==>    _[1]=s(1)+s(2)+s(3)+2
==>    _[2]=s(3)+1
==> [2]:
==>    1,1
// and multiplicities are returned