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AeCodPruebas.lib
171
AeCodPruebas.lib
@ -196,36 +196,9 @@ proc NormalOYModule(matrix GOX, matrix GOY, list #)
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}
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//print(V);//
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T = T + freemodule(a*m) * V;
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/* Infierno infernal
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// "T";T;//
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string RName=nameof(basering);
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// "show basering"; execute("show("+RName+")");//
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// "Raux 1"; Raux; //
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print("ring rred = " + charstr(basering) + ",X(1.." + string(p) + "),ds");//
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execute("export("+ RName + ")");
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export(T);
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execute("ring rred = " + charstr(basering) + ",X(1.." + string(p) + "),ds");
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print("def T = imap("+RName+",T)");//
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"Raux 2"; execute(RName);
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execute("def T = imap(" + RName + ",T)");
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"T=";T;//
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*/
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module N = kbase(std(T));
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/*
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execute("setring("+ RName + ")");
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def N = imap(rred, N);
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print("N = "); print(N); //
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*/
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T = T + freemodule(a*m) * V; // This should be done by switching to a new ring with only X(1..p)
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module N = kbase(std(T));
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int CodimT = ncols(N);
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//print("vector N[1] ="); VectorToMatrix(N[1],a,m);//
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@ -257,6 +230,9 @@ proc GenerateOYModule(matrix GOX, matrix GOY, list #)
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# is an optional ideal so that computations are made modulo this ideal.
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*/
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// Basic definitions
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int i;
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int j;
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@ -266,21 +242,37 @@ proc GenerateOYModule(matrix GOX, matrix GOY, list #)
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int nx = ncols(GOX);
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int a = nrows(GOY);
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module M = 0;
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matrix col[a][1] = 0;
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module M = 0; // This will be module with the same generators but over O_n
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matrix col[a][1] = 0; // Auxiliar variable to store the particular vector to be transformed at each step
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// This is needed because if a column ends in zeroes, SINGULAR cuts the last rows which
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// are zero, and then after transforming to the Malgrange Normal Form they loose some components.
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// This is also the reason to use matrices instead of vectors and modules.
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// Convert GOY to an O_n - module
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for (i=1; i<= ny; i++)
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{
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col = submat(GOY,intvec(1..a),intvec(i));
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M = M + MatrixToVector(MalgrFormVect(col, #));
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col = submat(GOY,intvec(1..a),intvec(i)); // Pick the next generator in GOY
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M = M + MatrixToVector(MalgrFormVect(col, #)); // Convert to GOX
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}
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// Convert GOX to an O_n -module
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/*
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For each generator v of GOX, we need to compute the Malgrange normal
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form of v * g for each g in Gens. The result generates the same module in O_n.
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*/
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for (i=1; i <= nx; i++)
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{
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col = submat(GOX,intvec(1..a),intvec(i));
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col = submat(GOX,intvec(1..a),intvec(i)); // Pick the next generator in GOX
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for (j=1; j<= m; j++)
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{
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M = M + MatrixToVector(MalgrFormVect(Gens[j]*col, #));
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M = M + MatrixToVector(MalgrFormVect(Gens[j]*col, #)); // Compute each product of col times an element of Gens
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}
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}
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@ -297,24 +289,27 @@ proc MalgrRing(ideal J, int n, ideal f)
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*/
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// Definitions
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int i;
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int p = ncols(f);
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string RName=nameof(basering);
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ideal w = f[1..n];
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int i;
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int p = ncols(f); // Total number of components of map
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string RName=nameof(basering); // We need the name of the basering as string to later be able to extend it to a new ring with extra variables.
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ideal w = f[1..n]; // Get a subset of components of f, which is expected to define a finite mapping.
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// Compute generators of w_*O_X
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ideal Gens = kbase(std(w+J));
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ideal Gens = kbase(std(w+J)); // This is the set of generators of O_X as O_n-module.
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int nGens = ncols(Gens);
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ring R0 = changeord(list(list("dp",nvars(basering))));
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// Create a ring with generators as variables and target variables.
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string vaG ="G(";
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def R1=extendring(nGens,vaG,"dp",1);
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ring R0 = changeord(list(list("dp",nvars(basering)))); // Change ordering of basering to global. In local, computations fail since one of the generators of Gens is always a constant.
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// ¿To Do: let user choose the local ordering?
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string vaG ="G(";
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def R1=extendring(nGens,vaG,"dp",1); // Add G variables so that G(i) corresponds to the i-th generator of Gens.
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setring R1;
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string vaX="X(";
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def R2=extendring(p, vaX,"lp",1);
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def R2=extendring(p, vaX,"lp",1); // Add X variables so that X(j) corresponds to the j-th component of f.
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setring R2;
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// Bring necessary information from source ring
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@ -330,15 +325,17 @@ proc MalgrRing(ideal J, int n, ideal f)
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for(i = 1; i<=nGens; i++)
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{
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G = G + ideal(Gens[i]- G(i));
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G = G + ideal(Gens[i]- G(i)); // Make G(i) correspond to Gens[i]
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}
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for(i = 1; i<= n; i++)
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{
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W = W + ideal(f[i]- X(i));
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W = W + ideal(f[i]- X(i)); // Make X(i) correspond to f[i], only for the finite mapping subset of components.
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}
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ideal GF = std(W+G+J);
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ideal GF = std(W+G+J); // If the orderings are properly chosen, reducing any monomial in O_X with respect to this ideal
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// should return a normal form which is a polynomial in X(1..n), G(1..nGens) in which the G's only appear
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// as linear terms times polynomials in the X's. This is what we call the Malgrange Normal Form.
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/* This is now moved to the MalgrFormPoly procedure
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for (i=n+1; i <= p; i++)
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@ -347,7 +344,8 @@ proc MalgrRing(ideal J, int n, ideal f)
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}
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*/
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export(GF);
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// Save variables in ring so that they survive outside of the procedure
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export(GF);
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export(Gens);
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export(J);
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@ -377,32 +375,51 @@ proc MalgrFormPoly(poly h, list #)
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int i;
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ideal K = GF;
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// Prepare the ideal that reduces to the Malgrange Normal Form
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ideal K = GF; // Save the GF ideal to a new variable since we are going to possibly modify it.
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if (size(#)> 0)
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{
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K = std(#[1]+GF);
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K = std(#[1]+GF); // Work modulo an ideal, if requested.
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}
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for (i=dimX+1; i <= size(mappingf); i++)
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{
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K = K + ideal(X(i) - reduce(mappingf[i], K));
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K = K + ideal(X(i) - reduce(mappingf[i], K)); // Assign the components of f which do not give the finite mapping to variables in the target, if p > n.
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}
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poly hr = reduce(h,K); // Obtain Malgrange form as a sum
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/* Caution: We do not compute again a standard basis of K since this would be equivalent to computing
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the polynomial of the image when p > n and this is too computationally expensive. */
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// Compute the Malgrange Normal Form of the requested polynomial
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poly hr = reduce(h,K); // Obtain Malgrange form as a sum. This should be a polynomial only in X's and G's,
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// and the G's should only appear as linear variables times polys in X.
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poly c;
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int nGens = ncols(Gens);
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matrix v[1][nGens] = 0;
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// Convert the Malgrange Normal Form of the polynomial to row matrix form.
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/*
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Since the G's are only linear in hr, they determine a vector with
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coefficients only in the X's (one coefficient for each G(i)).
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We only need to extract these coefficients and add them to the corresponding component in v.
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*/
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matrix v[1][nGens] = 0;
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for (i=1; i<= nGens-1; i++)
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{
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c = hr - subst(hr,G(i),0); // Gens[i] term
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hr = hr - c;
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v[1,i] = c/G(i);
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c = hr - subst(hr,G(i),0); // This is the coefficient of G(i) in hr
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hr = hr - c; // Remove the G(i) and its coefficient from hr.
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v[1,i] = c/G(i); // The i'th component of v is the coefficient of G(i) in hr.
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}
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v[1,nGens] = hr;
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v[1,nGens] = hr; // The variable G(nGens) corresponds to the generator 1 in Gens,
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// hence it does not appear in the Malgrange Normal Form.
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// Since its coefficient is the remaining part of the previous loop, we add it manually.
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return(v);
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}
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@ -425,11 +442,13 @@ proc MalgrFormVect(matrix v, list #)
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int i;
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def m = MalgrFormPoly(v[1,1], #);
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def m = MalgrFormPoly(v[1,1], #); // We need to manually compute the first component outside of the loop
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// so that the first row of the matrix already has the correct information
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// (else, the first row would be made of all zeroes and later we would need to remove that row)
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for (i=2; i <= a; i++)
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{
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m = transpose(concat(transpose(m),transpose(MalgrFormPoly(v[i,1], #))));
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m = transpose(concat(transpose(m),transpose(MalgrFormPoly(v[i,1], #)))); // compute the Malgrange Normal Form row of the next entry of v and add it to the matrix.
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}
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return(m);
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@ -439,6 +458,11 @@ proc MalgrFormVect(matrix v, list #)
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proc MatrixToVector(matrix M)
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{
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/*
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This procedure converts an a x b matrix M into an (a*b) x 1 matrix v, where
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the (i-1)*b + j entry in v with 1 <= j <= b, 1 <= i <= a corresponds to the (i, j) entry in M
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*/
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int a = nrows(M);
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int b = ncols(M);
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@ -462,6 +486,11 @@ proc MatrixToVector(matrix M)
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proc VectorToMatrix(vector v, int a, int b)
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{
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/*
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Converts a vector of length a*b into an a*b matrix by chopping the adequate
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number of components in v.
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*/
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int i;
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int j;
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@ -482,6 +511,19 @@ proc VectorToMatrix(vector v, int a, int b)
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proc MalgrFormToOX(matrix M)
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{
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/*
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WARNING:
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This procedure only works inside the ring generated by MalgrRing, containing
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ideal J, ideal Gens, ideal GF, mappingf and the appropriate variables.
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Given a matrix with number of columns equal to nGens and entries in X(1..p),
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returns the corresponding vector with entries in O_X
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TO DO: we should use the InvMalgrPoly procedure for this instead of repeating
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everything again.
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*/
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int i;
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int j;
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int p = ncols(mappingf);
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@ -522,6 +564,15 @@ proc SplitMap(ideal f)
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proc InvMalgrPoly(matrix v, ideal Gens, ideal w)
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{
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/*
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WARNING:
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This procedure only works inside the ring generated by MalgrRing, containing
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ideal J, ideal Gens, ideal GF, and the appropriate variables.
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Converts a row matrix corresponding to a Malgrange Normal Form into its
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original polynomial form in O_X
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*/
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int n=ncols(w);
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int i;
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poly h=0;
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