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herta

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Advanced mathematics framework for scientific, engineering, and financial applications

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/** * Algebraic Geometry module for herta.js * Provides tools for algebraic varieties, polynomials, and related concepts */ const arithmetic = require('../core/arithmetic'); const algebra = require('../core/algebra'); const matrix = require('../core/matrix'); const symbolic = require('./symbolic'); const algebraicGeometry = {}; /** * Represent a multivariate polynomial * @param {Object} terms - Object mapping monomials to coefficients * @param {Array} variables - Array of variable names * @returns {Object} - Polynomial object */ algebraicGeometry.polynomial = function (terms, variables) { return { terms: { ...terms }, variables: [...variables], toString() { const parts = []; for (const monomial in this.terms) { const coefficient = this.terms[monomial]; if (coefficient === 0) continue; let term = ''; if (coefficient !== 1 || monomial === '') { term += coefficient; } if (monomial !== '') { if (coefficient !== 1) { term += '*'; } term += monomial; } parts.push(term); } return parts.join(' + ').replace(/\+ -/g, '- '); }, evaluate(values) { let result = 0; for (const monomial in this.terms) { const coefficient = this.terms[monomial]; if (monomial === '') { result += coefficient; continue; } const parts = monomial.split('*'); let termValue = coefficient; for (const part of parts) { const [variable, exponent] = part.split('^'); const exp = exponent ? parseInt(exponent) : 1; if (values[variable] === undefined) { throw new Error(`Value for variable ${variable} not provided`); } termValue *= values[variable] ** exp; } result += termValue; } return result; }, add(other) { const result = { ...this.terms }; for (const monomial in other.terms) { if (result[monomial] === undefined) { result[monomial] = other.terms[monomial]; } else { result[monomial] += other.terms[monomial]; if (Math.abs(result[monomial]) < 1e-10) { delete result[monomial]; } } } const allVariables = [...new Set([...this.variables, ...other.variables])]; return algebraicGeometry.polynomial(result, allVariables); }, multiply(other) { const result = {}; for (const monomial1 in this.terms) { for (const monomial2 in other.terms) { const coefficient = this.terms[monomial1] * other.terms[monomial2]; let newMonomial; if (monomial1 === '' && monomial2 === '') { newMonomial = ''; } else if (monomial1 === '') { newMonomial = monomial2; } else if (monomial2 === '') { newMonomial = monomial1; } else { // Parse monomials const terms1 = monomial1.split('*'); const terms2 = monomial2.split('*'); // Combine and sort terms const combined = [...terms1, ...terms2]; const variableMap = {}; for (const term of combined) { const [variable, exponent] = term.split('^'); const exp = exponent ? parseInt(exponent) : 1; if (variableMap[variable] === undefined) { variableMap[variable] = exp; } else { variableMap[variable] += exp; } } // Build new monomial const newTerms = []; for (const variable in variableMap) { if (variableMap[variable] === 1) { newTerms.push(variable); } else { newTerms.push(`${variable}^${variableMap[variable]}`); } } newMonomial = newTerms.sort().join('*'); } if (result[newMonomial] === undefined) { result[newMonomial] = coefficient; } else { result[newMonomial] += coefficient; if (Math.abs(result[newMonomial]) < 1e-10) { delete result[newMonomial]; } } } } const allVariables = [...new Set([...this.variables, ...other.variables])]; return algebraicGeometry.polynomial(result, allVariables); }, power(n) { if (n === 0) { return algebraicGeometry.polynomial({ '': 1 }, this.variables); } let result = this; for (let i = 1; i < n; i++) { result = result.multiply(this); } return result; }, differentiate(variable) { const result = {}; for (const monomial in this.terms) { if (monomial === '') continue; const coefficient = this.terms[monomial]; const terms = monomial.split('*'); // Find the term with the given variable let variableFound = false; const newTerms = []; for (let i = 0; i < terms.length; i++) { const [termVar, exponent] = terms[i].split('^'); if (termVar === variable) { variableFound = true; const exp = exponent ? parseInt(exponent) : 1; if (exp === 1) { // Skip this term, it gets differentiated to a constant continue; } else { // Differentiate newTerms.push(`${termVar}^${exp - 1}`); // Multiply coefficient by the exponent result[''] = coefficient * exp; } } else { newTerms.push(terms[i]); } } if (variableFound) { const newMonomial = newTerms.join('*'); if (result[newMonomial] === undefined) { result[newMonomial] = coefficient; } else { result[newMonomial] += coefficient; } } } return algebraicGeometry.polynomial(result, this.variables); } }; }; /** * Create an ideal from a set of polynomials * @param {Array} polynomials - Array of polynomials generating the ideal * @returns {Object} - Ideal object */ algebraicGeometry.ideal = function (polynomials) { return { generators: [...polynomials], contains(polynomial) { // Note: Testing ideal membership properly requires Gröbner basis computation // This is a simplified version that only checks if polynomial is an exact linear combination // Check if polynomial is zero if (Object.keys(polynomial.terms).length === 0) { return true; } // Check if polynomial is a generator for (const generator of this.generators) { if (generator.toString() === polynomial.toString()) { return true; } } // More sophisticated techniques would be required for a complete check return false; }, add(polynomial) { this.generators.push(polynomial); return this; } }; }; /** * Compute a Gröbner basis for an ideal (simplified) * @param {Array} polynomials - Array of polynomials generating the ideal * @param {Array} variables - Array of variable names in order * @returns {Array} - Array of polynomials forming a Gröbner basis */ algebraicGeometry.groebnerBasis = function (polynomials, variables) { // Note: This is a placeholder for a full Buchberger algorithm implementation // Implementing a complete Gröbner basis algorithm is complex and would require // more sophisticated polynomial handling including term orders // For simple cases, try a basic implementation if (polynomials.length <= 1) { return [...polynomials]; } // Check for linear polynomials only const isLinear = polynomials.every((p) => { for (const monomial in p.terms) { if (monomial === '') continue; const terms = monomial.split('*'); for (const term of terms) { const [variable, exponent] = term.split('^'); if (exponent && parseInt(exponent) > 1) { return false; } } } return true; }); if (isLinear) { // For linear polynomials, Gaussian elimination is equivalent return [...polynomials]; // Just return the original generators for now } // For more complex cases, just return the original generators // with a note that a full implementation is needed console.warn('Full Gröbner basis computation not implemented'); return [...polynomials]; }; /** * Check if a point satisfies a system of polynomial equations * @param {Array} polynomials - Array of polynomials * @param {Object} point - Point coordinates {x: value, y: value, ...} * @param {number} [tolerance=1e-10] - Tolerance for numerical errors * @returns {boolean} - Whether the point is on the variety */ algebraicGeometry.isPointOnVariety = function (polynomials, point, tolerance = 1e-10) { for (const polynomial of polynomials) { const value = polynomial.evaluate(point); if (Math.abs(value) > tolerance) { return false; } } return true; }; /** * Find the intersection of two plane curves defined by polynomials * @param {Object} poly1 - First polynomial in x, y * @param {Object} poly2 - Second polynomial in x, y * @param {Object} [options={}] - Options for the computation * @returns {Array} - Array of intersection points */ algebraicGeometry.curvesIntersection = function (poly1, poly2, options = {}) { const tolerance = options.tolerance || 1e-10; const bounds = options.bounds || { x: [-10, 10], y: [-10, 10] }; const gridSize = options.gridSize || 100; const result = []; const dx = (bounds.x[1] - bounds.x[0]) / gridSize; const dy = (bounds.y[1] - bounds.y[0]) / gridSize; // Brute force grid search for intersections // (A complete implementation would use resultants or other algebraic techniques) for (let i = 0; i <= gridSize; i++) { const x = bounds.x[0] + i * dx; for (let j = 0; j <= gridSize; j++) { const y = bounds.y[0] + j * dy; const value1 = poly1.evaluate({ x, y }); const value2 = poly2.evaluate({ x, y }); if (Math.abs(value1) < tolerance && Math.abs(value2) < tolerance) { // Potential intersection, refine using Newton's method const refinedPoint = this._refineIntersection(poly1, poly2, { x, y }, tolerance); // Check if point is already in result (within tolerance) const isNewPoint = !result.some((p) => Math.abs(p.x - refinedPoint.x) < tolerance && Math.abs(p.y - refinedPoint.y) < tolerance); if (isNewPoint) { result.push(refinedPoint); } } } } return result; }; /** * Refine an approximate intersection point using Newton's method * @private * @param {Object} poly1 - First polynomial * @param {Object} poly2 - Second polynomial * @param {Object} initialPoint - Initial approximation * @param {number} tolerance - Error tolerance * @returns {Object} - Refined intersection point */ algebraicGeometry._refineIntersection = function (poly1, poly2, initialPoint, tolerance) { const maxIterations = 10; const point = { ...initialPoint }; for (let iter = 0; iter < maxIterations; iter++) { // Calculate function values const f1 = poly1.evaluate(point); const f2 = poly2.evaluate(point); // Check if already within tolerance if (Math.abs(f1) < tolerance && Math.abs(f2) < tolerance) { break; } // Calculate Jacobian const df1dx = poly1.differentiate('x').evaluate(point); const df1dy = poly1.differentiate('y').evaluate(point); const df2dx = poly2.differentiate('x').evaluate(point); const df2dy = poly2.differentiate('y').evaluate(point); // Determinant const det = df1dx * df2dy - df1dy * df2dx; if (Math.abs(det) < tolerance) { // Singular Jacobian, use the original point break; } // Newton step const dx = (f1 * df2dy - f2 * df1dy) / det; const dy = (f2 * df1dx - f1 * df2dx) / det; // Update point point.x -= dx; point.y -= dy; } return point; }; /** * Compute the dimension of a variety (simplified) * @param {Array} polynomials - Array of polynomials defining the variety * @returns {number} - Estimated dimension */ algebraicGeometry.varietyDimension = function (polynomials) { // This is a very simplified approach if (polynomials.length === 0) { return 0; // Empty case } // Get all variables across all polynomials const allVariables = new Set(); for (const poly of polynomials) { for (const variable of poly.variables) { allVariables.add(variable); } } // A very crude estimate: ambient dimension - number of equations // This only works in very simple cases with independent equations const ambientDimension = allVariables.size; const estimatedDimension = Math.max(0, ambientDimension - polynomials.length); return estimatedDimension; }; /** * Compute the tangent space to a variety at a point * @param {Array} polynomials - Array of polynomials defining the variety * @param {Object} point - Point on the variety * @returns {Object} - Description of the tangent space */ algebraicGeometry.tangentSpace = function (polynomials, point) { // Check if point is on the variety if (!this.isPointOnVariety(polynomials, point)) { throw new Error('Point is not on the variety'); } // Calculate the Jacobian matrix at the point const jacobian = []; for (const poly of polynomials) { const row = []; for (const variable of poly.variables) { const partial = poly.differentiate(variable); row.push(partial.evaluate(point)); } jacobian.push(row); } // Calculate rank of Jacobian const rank = this._matrixRank(jacobian); // The tangent space has dimension = number of variables - rank of Jacobian const dimension = poly.variables.length - rank; return { dimension, jacobian }; }; /** * Calculate the rank of a matrix * @private * @param {Array} matrix - The matrix as a 2D array * @returns {number} - Rank of the matrix */ algebraicGeometry._matrixRank = function (matrix) { if (matrix.length === 0 || matrix[0].length === 0) { return 0; } // Create a copy of the matrix const m = matrix.map((row) => [...row]); const rows = m.length; const cols = m[0].length; let rank = 0; const processedRows = new Set(); // Gaussian elimination for (let j = 0; j < cols; j++) { // Find the pivot let pivotRow = -1; for (let i = 0; i < rows; i++) { if (!processedRows.has(i) && Math.abs(m[i][j]) > 1e-10) { pivotRow = i; break; } } if (pivotRow === -1) { continue; // No pivot in this column } // Mark row as processed and increment rank processedRows.add(pivotRow); rank++; // Normalize pivot row const pivot = m[pivotRow][j]; for (let k = j; k < cols; k++) { m[pivotRow][k] /= pivot; } // Eliminate other rows for (let i = 0; i < rows; i++) { if (i !== pivotRow) { const factor = m[i][j]; for (let k = j; k < cols; k++) { m[i][k] -= factor * m[pivotRow][k]; } } } } return rank; }; /** * Compute the resultant of two polynomials * @param {Object} poly1 - First polynomial * @param {Object} poly2 - Second polynomial * @param {string} variable - Variable to eliminate * @returns {Object} - Resultant polynomial */ algebraicGeometry.resultant = function (poly1, poly2, variable) { // Note: This is a placeholder for a full resultant implementation // A proper implementation would use Sylvester matrices or other methods // For simple cases with linear polynomials, try a direct approach if (isPolynomialLinear(poly1, variable) && isPolynomialLinear(poly2, variable)) { // Extract coefficients of the variable const c1 = getLinearCoefficient(poly1, variable); const c2 = getLinearCoefficient(poly2, variable); // Get constant terms const k1 = getConstantTerm(poly1, variable); const k2 = getConstantTerm(poly2, variable); // For linear polynomials a*x + b and c*x + d, the resultant is ad - bc const result = c1.multiply(k2).subtract(k1.multiply(c2)); return result; } // Helper functions function isPolynomialLinear(poly, variable) { for (const monomial in poly.terms) { if (monomial === '') continue; const terms = monomial.split('*'); for (const term of terms) { const [termVar, exponent] = term.split('^'); if (termVar === variable && exponent && parseInt(exponent) > 1) { return false; } } } return true; } function getLinearCoefficient(poly, variable) { // This is a simplified approach const result = {}; for (const monomial in poly.terms) { if (monomial === '') continue; const terms = monomial.split('*'); let hasVariable = false; for (const term of terms) { const [termVar, exponent] = term.split('^'); if (termVar === variable && (!exponent || parseInt(exponent) === 1)) { hasVariable = true; break; } } if (hasVariable) { // Remove the variable to get the coefficient const newMonomial = monomial.replace(`${variable}`, '').replace('**', '*').replace(/^\*|\*$/g, ''); result[newMonomial || ''] = poly.terms[monomial]; } } return algebraicGeometry.polynomial(result, poly.variables.filter((v) => v !== variable)); } function getConstantTerm(poly, variable) { // This is a simplified approach const result = {}; for (const monomial in poly.terms) { if (monomial === '') { result[''] = poly.terms[monomial]; continue; } const terms = monomial.split('*'); let hasVariable = false; for (const term of terms) { const [termVar] = term.split('^'); if (termVar === variable) { hasVariable = true; break; } } if (!hasVariable) { result[monomial] = poly.terms[monomial]; } } return algebraicGeometry.polynomial(result, poly.variables.filter((v) => v !== variable)); } console.warn('Full resultant computation not implemented'); // Return null to indicate that computation is not implemented return null; }; /** * Compute the singular locus of a variety * @param {Array} polynomials - Array of polynomials defining the variety * @returns {Array} - Array of polynomials defining the singular locus */ algebraicGeometry.singularLocus = function (polynomials) { // The singular locus is where the Jacobian doesn't have full rank const jacobianPolys = []; // Get all variables const allVariables = new Set(); for (const poly of polynomials) { for (const variable of poly.variables) { allVariables.add(variable); } } const variables = [...allVariables]; // Compute all partial derivatives for (const poly of polynomials) { for (const variable of variables) { const partial = poly.differentiate(variable); if (Object.keys(partial.terms).length > 0) { jacobianPolys.push(partial); } } } // The singular locus is the variety defined by the original polynomials // and the minors of the Jacobian return [...polynomials, ...jacobianPolys]; }; /** * Check if a variety is smooth at a point * @param {Array} polynomials - Array of polynomials defining the variety * @param {Object} point - Point on the variety * @returns {boolean} - Whether the variety is smooth at the point */ algebraicGeometry.isSmoothAtPoint = function (polynomials, point) { // Check if point is on the variety if (!this.isPointOnVariety(polynomials, point)) { throw new Error('Point is not on the variety'); } // Calculate the Jacobian matrix at the point const jacobian = []; for (const poly of polynomials) { const row = []; for (const variable of poly.variables) { const partial = poly.differentiate(variable); row.push(partial.evaluate(point)); } jacobian.push(row); } // The variety is smooth if the Jacobian has full rank const rank = this._matrixRank(jacobian); return rank === polynomials.length; }; /** * Compute the degree of a projective variety * @param {Array} polynomials - Array of homogeneous polynomials * @returns {number} - Degree of the variety */ algebraicGeometry.varietyDegree = function (polynomials) { // This is a placeholder for a proper implementation // Computing the degree of a variety is a complex task // Check if polynomials are homogeneous for (const poly of polynomials) { if (!this._isHomogeneous(poly)) { throw new Error('Polynomials must be homogeneous'); } } // For simple cases, return some basic estimates if (polynomials.length === 1) { return this._getPolynomialDegree(polynomials[0]); } // For complete intersections, degrees multiply let degree = 1; for (const poly of polynomials) { degree *= this._getPolynomialDegree(poly); } return degree; }; /** * Check if a polynomial is homogeneous * @private * @param {Object} polynomial - The polynomial to check * @returns {boolean} - Whether the polynomial is homogeneous */ algebraicGeometry._isHomogeneous = function (polynomial) { if (Object.keys(polynomial.terms).length === 0) { return true; // Empty polynomial is homogeneous } let degree = null; for (const monomial in polynomial.terms) { if (monomial === '') { // Constant term must be zero in a homogeneous polynomial if (polynomial.terms[monomial] !== 0) { return false; } continue; } let monomialDegree = 0; const terms = monomial.split('*'); for (const term of terms) { const [variable, exponent] = term.split('^'); monomialDegree += exponent ? parseInt(exponent) : 1; } if (degree === null) { degree = monomialDegree; } else if (degree !== monomialDegree) { return false; } } return true; }; /** * Get the degree of a polynomial * @private * @param {Object} polynomial - The polynomial * @returns {number} - Degree of the polynomial */ algebraicGeometry._getPolynomialDegree = function (polynomial) { let maxDegree = 0; for (const monomial in polynomial.terms) { if (monomial === '') continue; let monomialDegree = 0; const terms = monomial.split('*'); for (const term of terms) { const [variable, exponent] = term.split('^'); monomialDegree += exponent ? parseInt(exponent) : 1; } maxDegree = Math.max(maxDegree, monomialDegree); } return maxDegree; }; /** * Create an elliptic curve in Weierstrass form * @param {number} a - Coefficient a in y^2 = x^3 + ax + b * @param {number} b - Coefficient b in y^2 = x^3 + ax + b * @returns {Object} - Elliptic curve object */ algebraicGeometry.ellipticCurve = function (a, b) { // Check that the discriminant is non-zero const discriminant = -16 * (4 * a * a * a + 27 * b * b); if (Math.abs(discriminant) < 1e-10) { throw new Error('Discriminant is zero, curve is singular'); } // Create the elliptic curve polynomial: y^2 - x^3 - a*x - b const curve = this.polynomial( { 'y^2': 1, 'x^3': -1, x: -a, '': -b }, ['x', 'y'] ); return { a, b, discriminant, curve, /** * Check if a point is on the elliptic curve * @param {number} x - x-coordinate * @param {number} y - y-coordinate * @param {number} [tolerance=1e-10] - Tolerance for floating point errors * @returns {boolean} - Whether the point is on the curve */ containsPoint(x, y, tolerance = 1e-10) { return Math.abs(y * y - (x * x * x + a * x + b)) < tolerance; }, /** * Add two points on the elliptic curve * @param {Array} P - First point [x1, y1] * @param {Array} Q - Second point [x2, y2] * @returns {Array} - Sum point [x3, y3] */ addPoints(P, Q) { // Special cases for identity element if (P === null || (Array.isArray(P) && P.length === 0)) return Q; if (Q === null || (Array.isArray(Q) && Q.length === 0)) return P; const [x1, y1] = P; const [x2, y2] = Q; // Check if points are valid if (!this.containsPoint(x1, y1) || !this.containsPoint(x2, y2)) { throw new Error('Points must be on the elliptic curve'); } // Case: P = -Q if (x1 === x2 && y1 === -y2) { return []; // Return the identity element (point at infinity) } let lambda; if (x1 === x2 && y1 === y2) { // Case: P = Q (doubling) if (Math.abs(y1) < 1e-10) { return []; // 2P = O if y = 0 } lambda = (3 * x1 * x1 + a) / (2 * y1); } else { // Case: P ≠ Q (addition) lambda = (y2 - y1) / (x2 - x1); } // Calculate the new point const x3 = lambda * lambda - x1 - x2; const y3 = lambda * (x1 - x3) - y1; return [x3, y3]; }, /** * Multiply a point by a scalar * @param {Array} P - Point [x, y] * @param {number} n - Scalar multiplier * @returns {Array} - Resulting point [x', y'] */ multiplyPoint(P, n) { if (n === 0 || P === null || (Array.isArray(P) && P.length === 0)) { return []; // Return the identity element } if (n < 0) { // Negating a point flips the y-coordinate return this.multiplyPoint([P[0], -P[1]], -n); } // Double-and-add algorithm let result = []; let addend = [...P]; while (n > 0) { if (n & 1) { // If the lowest bit is 1, add the current addend result = this.addPoints(result, addend); } // Double the addend addend = this.addPoints(addend, addend); // Shift right by 1 bit n >>= 1; } return result; }, /** * Compute the j-invariant of the elliptic curve * @returns {number} - j-invariant */ jInvariant() { return 1728 * (4 * a * a * a) / discriminant; }, /** * Check if two elliptic curves are isomorphic * @param {Object} other - Another elliptic curve * @returns {boolean} - Whether the curves are isomorphic */ isIsomorphicTo(other) { return Math.abs(this.jInvariant() - other.jInvariant()) < 1e-10; }, /** * Find all points with integer coordinates in a given range * @param {number} min - Minimum x and y value * @param {number} max - Maximum x and y value * @returns {Array} - Array of points with integer coordinates */ findIntegerPoints(min, max) { const points = []; for (let x = min; x <= max; x++) { // Calculate y^2 = x^3 + ax + b const ySquared = x * x * x + a * x + b; // Check if ySquared is a perfect square const y = Math.sqrt(ySquared); if (Math.floor(y) === y && y >= min && y <= max) { points.push([x, y]); if (y !== 0) { points.push([x, -y]); // Add the negative y if not zero } } } return points.sort((a, b) => a[0] - b[0] || a[1] - b[1]); } }; }; /** * Create a toric variety from a fan * @param {Array} rays - Array of rays (vectors) defining the fan * @param {Array} cones - Array of cones, each cone is an array of ray indices * @returns {Object} - Toric variety object */ algebraicGeometry.toricVariety = function (rays, cones) { // Validate the fan // Each cone must be a list of valid ray indices for (const cone of cones) { for (const rayIndex of cone) { if (rayIndex < 0 || rayIndex >= rays.length) { throw new Error(`Invalid ray index: ${rayIndex}`); } } } // Check if the fan is simplicial (each cone is generated by linearly independent rays) const isSimplicial = cones.every((cone) => { // Extract the rays for this cone const coneRays = cone.map((rayIndex) => rays[rayIndex]); // Check linear independence using matrix rank return this._matrixRank(coneRays) === cone.length; }); return { rays, cones, isSimplicial, dimension: rays[0].length, /** * Check if the toric variety is smooth * @returns {boolean} - Whether the variety is smooth */ isSmooth() { if (!isSimplicial) return false; // A simplicial toric variety is smooth if each cone is generated by a subset of a basis return cones.every((cone) => { // Extract the rays for this cone const coneRays = cone.map((rayIndex) => rays[rayIndex]); // For smoothness, the ray generators of each maximal cone should form a Z-basis // This is a simplified check - we would need more sophisticated algorithms // to determine if vectors form a Z-basis of a lattice // Just check if the determinant is ±1 for maximal cones (if dimension matches) if (cone.length === this.dimension) { const det = this._determinant(coneRays); return Math.abs(det) === 1; } return true; }); }, /** * Calculate the Chow ring of the toric variety (simplified) * @returns {Object} - Description of the Chow ring */ chowRing() { // This is a very simplified version // The Chow ring of a smooth toric variety has generators corresponding to rays const generators = rays.map((_, i) => `D_${i}`); // Linear relations from the fact that sum of D_i * u_i = 0 for any u const linearRelations = []; for (let j = 0; j < this.dimension; j++) { const relation = {}; for (let i = 0; i < rays.length; i++) { relation[`D_${i}`] = rays[i][j]; } linearRelations.push(relation); } // Stanley-Reisner ideal (products of D_i where i not in the same cone) const srIdeal = []; for (let i = 0; i < rays.length; i++) { for (let j = i + 1; j < rays.length; j++) { // Check if rays i and j do not appear in the same cone const notInSameCone = !cones.some((cone) => cone.includes(i) && cone.includes(j)); if (notInSameCone) { srIdeal.push([`D_${i}`, `D_${j}`]); } } } return { generators, linearRelations, stanleyReisnerIdeal: srIdeal }; }, /** * Calculate the determinant of a square matrix * @private * @param {Array} matrix - Square matrix as array of arrays * @returns {number} - Determinant of the matrix */ _determinant(matrix) { const n = matrix.length; // Base case for 1x1 matrix if (n === 1) return matrix[0][0]; // Base case for 2x2 matrix if (n === 2) { return matrix[0][0] * matrix[1][1] - matrix[0][1] * matrix[1][0]; } // Expand along the first row for larger matrices let det = 0; for (let j = 0; j < n; j++) { // Create the submatrix const submatrix = []; for (let i = 1; i < n; i++) { const row = []; for (let k = 0; k < n; k++) { if (k !== j) row.push(matrix[i][k]); } submatrix.push(row); } // Add or subtract the determinant of the submatrix const sign = j % 2 === 0 ? 1 : -1; det += sign * matrix[0][j] * this._determinant(submatrix); } return det; } }; }; /** * Perform a blowup of a variety at a point * @param {Array} polynomials - Array of polynomials defining the variety * @param {Object} point - The point to blow up at * @returns {Object} - Description of the blowup */ algebraicGeometry.blowup = function (polynomials, point) { // Validate that the point is on the variety if (!this.isPointOnVariety(polynomials, point)) { throw new Error('Blowup point must be on the variety'); } // Extract variables from polynomials const variables = new Set(); polynomials.forEach((poly) => { poly.variables.forEach((v) => variables.add(v)); }); const vars = Array.from(variables); const n = vars.length; // Translate the variety so the point is at the origin const translated = polynomials.map((poly) => { const translated = poly; for (let i = 0; i < n; i++) { const v = vars[i]; const shift = point[v] || 0; // Create substitution polynomial x --> x + shift const substitution = this.polynomial( { [v]: 1, '': shift }, [v] ); // Apply substitution // This is a simplified approach; a full implementation would need // more sophisticated polynomial manipulation // ... } return translated; }); // In the blowup, we replace the point with a projective space // We'd need projective coordinates, equations for the exceptional divisor, etc. // For this simplified version, we'll just return the translated polynomials // and the exceptional divisor described informally return { originalVariety: polynomials, blowupPoint: point, translatedVariety: translated, exceptionalDivisor: { type: 'Projective Space', dimension: n - 1 }, description: `Blowup of the variety at the point ${JSON.stringify(point)}` }; }; /** * Compute the sheaf cohomology dimensions of a curve (simplified) * @param {Object} curve - Curve defined by a polynomial * @param {number} genus - Genus of the curve * @param {number} degree - Degree of the line bundle * @returns {Object} - Cohomology dimensions H^0 and H^1 */ algebraicGeometry.sheafCohomology = function (curve, genus, degree) { // For a line bundle L of degree d on a curve of genus g: // h^0(L) = d + 1 - g if d >= 2g - 1 // h^0(L) >= d + 1 - g always // h^1(L) = h^0(K - L) by Serre duality, where K is the canonical bundle of degree 2g - 2 let h0 = 0; let h1 = 0; if (degree < 0) { // Line bundles of negative degree have no global sections h0 = 0; // By Riemann-Roch: h^0 - h^1 = d + 1 - g h1 = genus - degree - 1; } else if (degree >= 2 * genus - 1) { // In this range, there are no higher cohomology groups h0 = degree + 1 - genus; h1 = 0; } else { // In the middle range, we need more detailed analysis // For simplicity, we'll use the Riemann-Roch formula const chi = degree + 1 - genus; // Euler characteristic // Estimate h^0 using Riemann-Roch and Serre duality const dualDegree = (2 * genus - 2) - degree; if (dualDegree < 0) { h1 = 0; h0 = chi; } else { // This is a simplification; truly computing h^0 would require // more detailed information about the specific curve and line bundle h0 = Math.max(1, chi); // Very rough approximation h1 = h0 - chi; } } return { h0, h1, eulerCharacteristic: degree + 1 - genus }; }; module.exports = algebraicGeometry;