herta
Version:
Advanced mathematics framework for scientific, engineering, and financial applications
1,220 lines (1,007 loc) • 35.1 kB
JavaScript
/**
* 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;