Functions and Variables for grobner (Maxima Manual)

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### 51.2 Functions and Variables for grobner

#### 51.2.1 Global switches for grobner

Option variable: poly_monomial_order

  Default value: `lex`

  This global switch controls which monomial order is used in polynomial and Groebner Bases calculations. If not set, `lex` will be used.

Option variable: poly_coefficient_ring

  Default value: `expression_ring`

  This switch indicates the coefficient ring of the polynomials that will be used in grobner calculations. If not set, maxima’s general expression ring will be used. This variable may be set to `ring_of_integers` if desired.

Option variable: poly_primary_elimination_order

  Default value: `false`

  Name of the default order for eliminated variables in elimination-based functions. If not set, `lex` will be used.

Option variable: poly_secondary_elimination_order

  Default value: `false`

  Name of the default order for kept variables in elimination-based functions. If not set, `lex` will be used.

Option variable: poly_elimination_order

  Default value: `false`

  Name of the default elimination order used in elimination calculations. If set, it overrides the settings in variables `poly_primary_elimination_order` and `poly_secondary_elimination_order`. The user must ensure that this is a true elimination order valid for the number of eliminated variables.

Option variable: poly_return_term_list

  Default value: `false`

  If set to `true`, all functions in this package will return each polynomial as a list of terms in the current monomial order rather than a maxima general expression.

Option variable: poly_grobner_debug

  Default value: `false`

  If set to `true`, produce debugging and tracing output.

Option variable: poly_grobner_algorithm

  Default value: `buchberger`

  Possible values:

  - `buchberger`
  - `parallel_buchberger`
  - `gebauer_moeller`

  The name of the algorithm used to find the Groebner Bases.

Option variable: poly_top_reduction_only

  Default value: `false`

  If not `false`, use top reduction only whenever possible. Top reduction means that division algorithm stops after the first reduction.

#### 51.2.2 Simple operators in grobner

`poly_add`, `poly_subtract`, `poly_multiply` and `poly_expt` are the arithmetical operations on polynomials. These are performed using the internal representation, but the results are converted back to the maxima general form.

Function: poly_add (poly1, poly2, varlist)

  Adds two polynomials poly1 and poly2.

      (%i1) poly_add(z+x^2*y,x-z,[x,y,z]);
                                          2
      (%o1)                              x  y + x

Function: poly_subtract (poly1, poly2, varlist)

  Subtracts a polynomial poly2 from poly1.

      (%i1) poly_subtract(z+x^2*y,x-z,[x,y,z]);
                                            2
      (%o1)                          2 z + x  y - x

Function: poly_multiply (poly1, poly2, varlist)

  Returns the product of polynomials poly1 and poly2.

      (%i1) poly_multiply(z+x^2*y,x-z,[x,y,z])-(z+x^2*y)*(x-z),expand;
      (%o1)                                  0

Function: poly_s_polynomial (poly1, poly2, varlist)

  Returns the syzygy polynomial (S-polynomial) of two polynomials poly1 and poly2.

Function: poly_primitive_part (poly1, varlist)

  Returns the polynomial poly divided by the GCD of its coefficients.

      (%i1) poly_primitive_part(35*y+21*x,[x,y]);
      (%o1)                              5 y + 3 x

Function: poly_normalize (poly, varlist)

  Returns the polynomial poly divided by the leading coefficient. It assumes that the division is possible, which may not always be the case in rings which are not fields.

#### 51.2.3 Other functions in grobner

Function: poly_expand (poly, varlist)

  This function parses polynomials to internal form and back. It is equivalent to `expand(poly)` if poly parses correctly to a polynomial. If the representation is not compatible with a polynomial in variables varlist, the result is an error. It can be used to test whether an expression correctly parses to the internal representation. The following examples illustrate that indexed and transcendental function variables are allowed.

      (%i1) poly_expand((x-y)*(y+x),[x,y]);
                                           2    2
      (%o1)                               x  - y
      (%i2) poly_expand((y+x)^2,[x,y]);
                                      2            2
      (%o2)                          y  + 2 x y + x
      (%i3) poly_expand((y+x)^5,[x,y]);
                        5      4         2  3       3  2      4      5
      (%o3)            y  + 5 x y  + 10 x  y  + 10 x  y  + 5 x  y + x
      (%i4) poly_expand(-1-x*exp(y)+x^2/sqrt(y),[x]);
                                                2
                                        y      x
      (%o4)                       - x %e  + ------- - 1
                                             sqrt(y)

      (%i5) poly_expand(-1-sin(x)^2+sin(x),[sin(x)]);
                                      2
      (%o5)                      - sin (x) + sin(x) - 1

Function: poly_expt (poly, number, varlist)

  exponentitates poly by a positive integer number. If number is not a positive integer number an error will be raised.

      (%i1) poly_expt(x-y,3,[x,y])-(x-y)^3,expand;
      (%o1)                                  0

Function: poly_content (poly, varlist)

  `poly_content` extracts the GCD of its coefficients

      (%i1) poly_content(35*y+21*x,[x,y]);
      (%o1)                                  7

Function: poly_pseudo_divide (poly, polylist, varlist)

  Pseudo-divide a polynomial poly by the list of n polynomials polylist. Return multiple values. The first value is a list of quotients a. The second value is the remainder r. The third argument is a scalar coefficient c, such that c*poly can be divided by polylist within the ring of coefficients, which is not necessarily a field. Finally, the fourth value is an integer count of the number of reductions performed. The resulting objects satisfy the equation:

  c*poly=sum(a[i]*polylist[i],i=1...n)+r.

Function: poly_exact_divide (poly1, poly2, varlist)

  Divide a polynomial poly1 by another polynomial poly2. Assumes that exact division with no remainder is possible. Returns the quotient.

Function: poly_normal_form (poly, polylist, varlist)

  `poly_normal_form` finds the normal form of a polynomial poly with respect to a set of polynomials polylist.

Function: poly_buchberger_criterion (polylist, varlist)

  Returns `true` if polylist is a Groebner basis with respect to the current term order, by using the Buchberger criterion: for every two polynomials h1 and h2 in polylist the S-polynomial S(h1,h2) reduces to 0 modulo polylist.

Function: poly_buchberger (polylist_fl varlist)

  `poly_buchberger` performs the Buchberger algorithm on a list of polynomials and returns the resulting Groebner basis.

#### 51.2.4 Standard postprocessing of Groebner Bases

The k-th elimination Ideal I_k of an Ideal I over K[ x[1],...,x[n] ] is the ideal intersect(I, K[ x[k+1],...,x[n] ]).
The colon ideal I:J is the ideal {h|for all w in J: w*h in I}.
The ideal I:p^inf is the ideal {h| there is a n in N: p^n*h in I}.
The ideal I:J^inf is the ideal {h| there is a n in N and a p in J: p^n*h in I}.
The radical ideal sqrt(I) is the ideal {h| there is a n in N : h^n in I }.

Function: poly_reduction (polylist, varlist)

  `poly_reduction` reduces a list of polynomials polylist, so that each polynomial is fully reduced with respect to the other polynomials.

Function: poly_minimization (polylist, varlist)

  Returns a sublist of the polynomial list polylist spanning the same monomial ideal as polylist but minimal, i.e. no leading monomial of a polynomial in the sublist divides the leading monomial of another polynomial.

Function: poly_normalize_list (polylist, varlist)

  `poly_normalize_list` applies `poly_normalize` to each polynomial in the list. That means it divides every polynomial in a list polylist by its leading coefficient.

Function: poly_grobner (polylist, varlist)

  Returns a Groebner basis of the ideal span by the polynomials polylist. Affected by the global flags.

Function: poly_reduced_grobner (polylist, varlist)

  Returns a reduced Groebner basis of the ideal span by the polynomials polylist. Affected by the global flags.

Function: poly_depends_p (poly, var, varlist)

  `poly_depends` tests whether a polynomial depends on a variable var.

Function: poly_elimination_ideal (polylist, number, varlist)

  `poly_elimination_ideal` returns the grobner basis of the number-th elimination ideal of an ideal specified as a list of generating polynomials (not necessarily Groebner basis).

Function: poly_colon_ideal (polylist1, polylist2, varlist)

  Returns the reduced Groebner basis of the colon ideal

  I(polylist1):I(polylist2)

  where polylist1 and polylist2 are two lists of polynomials.

Function: poly_ideal_intersection (polylist1, polylist2, varlist)

  `poly_ideal_intersection` returns the intersection of two ideals.

Function: poly_lcm (poly1, poly2, varlist)

  Returns the lowest common multiple of poly1 and poly2.

Function: poly_gcd (poly1, poly2, varlist)

  Returns the greatest common divisor of poly1 and poly2.

  See also `ezgcd`, `gcd`, `gcdex`, and `gcdivide`.

  Example:

      (%i1) p1:6*x^3+19*x^2+19*x+6;
                              3       2
      (%o1)                6 x  + 19 x  + 19 x + 6
      (%i2) p2:6*x^5+13*x^4+12*x^3+13*x^2+6*x;
                        5       4       3       2
      (%o2)          6 x  + 13 x  + 12 x  + 13 x  + 6 x
      (%i3) poly_gcd(p1, p2, [x]);
                                  2
      (%o3)                    6 x  + 13 x + 6

Function: poly_grobner_equal (polylist1, polylist2, varlist)

  `poly_grobner_equal` tests whether two Groebner Bases generate the same ideal. Returns `true` if two lists of polynomials polylist1 and polylist2, assumed to be Groebner Bases, generate the same ideal, and `false` otherwise. This is equivalent to checking that every polynomial of the first basis reduces to 0 modulo the second basis and vice versa. Note that in the example below the first list is not a Groebner basis, and thus the result is `false`.

      (%i1) poly_grobner_equal([y+x,x-y],[x,y],[x,y]);
      (%o1)                         false

Function: poly_grobner_subsetp (polylist1, polylist2, varlist)

  `poly_grobner_subsetp` tests whether an ideal generated by polylist1 is contained in the ideal generated by polylist2. For this test to always succeed, polylist2 must be a Groebner basis.

Function: poly_grobner_member (poly, polylist, varlist)

  Returns `true` if a polynomial poly belongs to the ideal generated by the polynomial list polylist, which is assumed to be a Groebner basis. Returns `false` otherwise.

  `poly_grobner_member` tests whether a polynomial belongs to an ideal generated by a list of polynomials, which is assumed to be a Groebner basis. Equivalent to `normal_form` being 0.

Function: poly_ideal_saturation1 (polylist, poly, varlist)

  Returns the reduced Groebner basis of the saturation of the ideal

  I(polylist):poly^inf

  Geometrically, over an algebraically closed field, this is the set of polynomials in the ideal generated by polylist which do not identically vanish on the variety of poly.

Function: poly_ideal_saturation (polylist1, polylist2, varlist)

  Returns the reduced Groebner basis of the saturation of the ideal

  I(polylist1):I(polylist2)^inf

  Geometrically, over an algebraically closed field, this is the set of polynomials in the ideal generated by polylist1 which do not identically vanish on the variety of polylist2.

Function: poly_ideal_polysaturation1 (polylist1, polylist2, varlist)

  polylist2 ist a list of n polynomials `[poly1,...,polyn]`. Returns the reduced Groebner basis of the ideal

  I(polylist):poly1^inf:...:polyn^inf

  obtained by a sequence of successive saturations in the polynomials of the polynomial list polylist2 of the ideal generated by the polynomial list polylist1.

Function: poly_ideal_polysaturation (polylist, polylistlist, varlist)

  polylistlist is a list of n list of polynomials `[polylist1,...,polylistn]`. Returns the reduced Groebner basis of the saturation of the ideal

  I(polylist):I(polylist_1)^inf:...:I(polylist_n)^inf

Function: poly_saturation_extension (poly, polylist, varlist1, varlist2)

  `poly_saturation_extension` implements the famous Rabinowitz trick.

Function: poly_polysaturation_extension (poly, polylist, varlist1, varlist2)

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