Algebraic Programming for Mathematical Computation
Syzygy is a domain-specific language that treats programs as systems of algebraic constraints. It's designed for mathematicians, researchers, and developers working with abstract algebra, category theory, and mathematical structures.
Traditional programming languages struggle with mathematical abstractions. Syzygy bridges this gap by providing native support for:
- Ring Theory - Finite fields, rational numbers, modular arithmetic
- Module Theory - Free modules, generators, algebraic relations
- Category Theory - Morphisms, limits, universal properties
- Constraint Solving - Algebraic relation resolution
// Define algebraic structures
ring Z5 = integers_mod 5
module V = free_module(Z5, 3)
// Declare generators and relations
generators {
v1 = (1, 0, 0) in V
v2 = (0, 1, 0) in V
}
relations {
2*v1 + 3*v2 == 0
}
// Functional programming with pattern matching
define factorial as n .
case n of {
0 -> 1;
_ -> n * factorial(n - 1);
}
// Rings are first-class citizens
ring Z7 = integers_mod 7
ring Q = rationals
// Modules over rings
module VectorSpace = free_module(Q, 3)
module MatrixAlgebra = free_module(Z7, 9)
relations {
3*x + 2*y == z // Linear relations
kernel(f) == image(g) // Exact sequences
composition(m1, m2) == identity // Morphism properties
}
case matrix of {
((a, b), (c, d)) -> a*d - b*c // Determinant
_ -> 0
}
Lexer → Parser → Algebraic Constraint Solver → Code Generator
Built with safety in mind:
- Memory-safe C implementation
- Bounds checking on all operations
- Comprehensive error reporting
- Modular, extensible design
- Formal verification of algebraic proofs
- Experimentation with mathematical structures
- Educational tool for abstract algebra
- Cryptographic protocol analysis
- Computational algebraic geometry
- Linear algebra over finite fields
- Teaching abstract algebra concepts
- Visualizing mathematical structures
- Interactive mathematical exploration
While other mathematical languages focus on theorem proving or numerical computation, Syzygy specializes in algebraic structure manipulation and constraint resolution.
Join us in redefining how we compute with mathematical structures!
"Where abstract algebra meets practical computation"