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154 lines
4.2 KiB
154 lines
4.2 KiB
"""Implementation of matrix FGLM Groebner basis conversion algorithm. """
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from sympy.polys.monomials import monomial_mul, monomial_div
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def matrix_fglm(F, ring, O_to):
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"""
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Converts the reduced Groebner basis ``F`` of a zero-dimensional
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ideal w.r.t. ``O_from`` to a reduced Groebner basis
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w.r.t. ``O_to``.
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References
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==========
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.. [1] J.C. Faugere, P. Gianni, D. Lazard, T. Mora (1994). Efficient
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Computation of Zero-dimensional Groebner Bases by Change of
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Ordering
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"""
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domain = ring.domain
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ngens = ring.ngens
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ring_to = ring.clone(order=O_to)
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old_basis = _basis(F, ring)
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M = _representing_matrices(old_basis, F, ring)
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# V contains the normalforms (wrt O_from) of S
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S = [ring.zero_monom]
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V = [[domain.one] + [domain.zero] * (len(old_basis) - 1)]
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G = []
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L = [(i, 0) for i in range(ngens)] # (i, j) corresponds to x_i * S[j]
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L.sort(key=lambda k_l: O_to(_incr_k(S[k_l[1]], k_l[0])), reverse=True)
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t = L.pop()
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P = _identity_matrix(len(old_basis), domain)
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while True:
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s = len(S)
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v = _matrix_mul(M[t[0]], V[t[1]])
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_lambda = _matrix_mul(P, v)
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if all(_lambda[i] == domain.zero for i in range(s, len(old_basis))):
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# there is a linear combination of v by V
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lt = ring.term_new(_incr_k(S[t[1]], t[0]), domain.one)
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rest = ring.from_dict({S[i]: _lambda[i] for i in range(s)})
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g = (lt - rest).set_ring(ring_to)
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if g:
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G.append(g)
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else:
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# v is linearly independent from V
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P = _update(s, _lambda, P)
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S.append(_incr_k(S[t[1]], t[0]))
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V.append(v)
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L.extend([(i, s) for i in range(ngens)])
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L = list(set(L))
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L.sort(key=lambda k_l: O_to(_incr_k(S[k_l[1]], k_l[0])), reverse=True)
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L = [(k, l) for (k, l) in L if all(monomial_div(_incr_k(S[l], k), g.LM) is None for g in G)]
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if not L:
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G = [ g.monic() for g in G ]
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return sorted(G, key=lambda g: O_to(g.LM), reverse=True)
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t = L.pop()
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def _incr_k(m, k):
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return tuple(list(m[:k]) + [m[k] + 1] + list(m[k + 1:]))
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def _identity_matrix(n, domain):
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M = [[domain.zero]*n for _ in range(n)]
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for i in range(n):
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M[i][i] = domain.one
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return M
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def _matrix_mul(M, v):
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return [sum([row[i] * v[i] for i in range(len(v))]) for row in M]
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def _update(s, _lambda, P):
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"""
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Update ``P`` such that for the updated `P'` `P' v = e_{s}`.
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"""
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k = min([j for j in range(s, len(_lambda)) if _lambda[j] != 0])
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for r in range(len(_lambda)):
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if r != k:
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P[r] = [P[r][j] - (P[k][j] * _lambda[r]) / _lambda[k] for j in range(len(P[r]))]
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P[k] = [P[k][j] / _lambda[k] for j in range(len(P[k]))]
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P[k], P[s] = P[s], P[k]
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return P
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def _representing_matrices(basis, G, ring):
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r"""
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Compute the matrices corresponding to the linear maps `m \mapsto
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x_i m` for all variables `x_i`.
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"""
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domain = ring.domain
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u = ring.ngens-1
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def var(i):
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return tuple([0] * i + [1] + [0] * (u - i))
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def representing_matrix(m):
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M = [[domain.zero] * len(basis) for _ in range(len(basis))]
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for i, v in enumerate(basis):
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r = ring.term_new(monomial_mul(m, v), domain.one).rem(G)
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for monom, coeff in r.terms():
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j = basis.index(monom)
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M[j][i] = coeff
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return M
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return [representing_matrix(var(i)) for i in range(u + 1)]
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def _basis(G, ring):
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r"""
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Computes a list of monomials which are not divisible by the leading
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monomials wrt to ``O`` of ``G``. These monomials are a basis of
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`K[X_1, \ldots, X_n]/(G)`.
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"""
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order = ring.order
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leading_monomials = [g.LM for g in G]
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candidates = [ring.zero_monom]
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basis = []
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while candidates:
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t = candidates.pop()
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basis.append(t)
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new_candidates = [_incr_k(t, k) for k in range(ring.ngens)
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if all(monomial_div(_incr_k(t, k), lmg) is None
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for lmg in leading_monomials)]
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candidates.extend(new_candidates)
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candidates.sort(key=order, reverse=True)
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basis = list(set(basis))
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return sorted(basis, key=order)
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