// This example is taken from Bruns and Gubeladze, Polytopal linear groups, // J. Algebra 218 (1999), 715--737. // The generators of the monoid are the facet-vertex incidence vectors of // the minimal triangulation of the real projective plane. // It is our goal to show that the normalization of // the corresponding algebra and the algebra itself differ // only by a vector space of dimension 1. // // Computing times extremely small (< 1 sec) on every system. // LIB "normaliz.lib"; ring A=2,(a(1..6)),dp; intmat M[10][6]= 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1; ideal R=intmat2mons(M); print(R); setNmzOption("hilb",1); ideal S=normalToricRing(R); // S is the normalization print(S); showNuminvs(); ideal Z=0; ring P=2,(x(1..10)),dp; ring Q=2,(y(1..10),z),dp; setring A; map f=P,R; map g=Q,S; setring P; ideal I=preimage(A,f,Z); hilb(std(I)); ring T=0,t,dp; poly H1=1+4t+11t2+4t3+t4; // numerator polynomial of Hilbert series of S poly H2=1+4t+10t2+10t3-14t4+20t5-15t6+6t7-1t^8; // the same for R itself factorize(H1-H2); // this shows the claim about S/R setring Q; // now we verify it additionally by the defining ideal of S ideal J=preimage(A,g,Z); print(J); // Computing times extremely small (< 1 sec) on every system. ===================================================================== // The following example is the first one not covered by the classification // of Ohsugi and Hibi of normality of monoids derived from contingency // tables. (See H.Ohsugi and T. Hibi, Toric ideals arising from // contingency tables. In: Commutative Algebra and Combinatorics. // In: Ramanujan Mathematical Society Lecture Note Series 4 // (2006), 87--111.) // The gaps in the classification have meanwhile been closed computationally. // See Bruns, R. Hemmecke, B. Ichim, M. K?ppe, and C. // S?ger, Challenging computations of Hilbert bases of cones // associated with algebraic statistics. Experimental Math., to appear. // // For the currently public version of Normaliz this is a very large example // On a SUN Fire X4450 it takes about an hour in version 2.2 and needs about 20 GB // of RAM. In the next version (already realized experimentally, expected upload // July 2010) it will be a matter of seconds due to algorithmic improvements for // this type of example and parallelization. Also memory usage will be reduced // significantly. // LIB "normaliz.lib"; intmat M[48][40]= 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 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