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This repository contains an implementation of the algorithm for constructing the Jordan Normal Form (JNF) of a matrix and the corresponding Jordan basis (transition matrix).
The project offers two implementation variants: for real numbers (with detailed comments) and for finite fields (exact arithmetic).
There are two main files in the project:
- Data Type:
long double(real numbers). - Features:
- Contains detailed theoretical notes and comments for every step of the algorithm.
- Ideal for educational purposes and understanding the mechanics of root subspaces and Jordan chains.
- Uses
EPSILONto compensate for floating-point errors.
- Data Type: Supports operations over residue fields (modulo a prime number, configurable at the beginning of the file).
-
Features:
-
Exact Arithmetic: Completely eliminates rounding errors inherent to
float/double. Operations (division, multiplication) are performed using modular inverse. -
Automatic Verification: Includes a result verification block. The program multiplies the resulting matrices to verify the equality
$A \cdot S = S \cdot J$ .
-
Exact Arithmetic: Completely eliminates rounding errors inherent to
The algorithm requires two types of input:
-
Square Matrix of size
$n \times n$ . - Matrix Spectrum (list of eigenvalues), including their algebraic multiplicities.
Note: The algorithm focuses on linear algebra (constructing chains), so finding the roots of the characteristic polynomial (eigenvalues) must be done beforehand.
Consider the matrix
The characteristic polynomial is
Program Input:
4
3 1 -4 -7
-1 1 5 9
0 0 4 4
0 0 -1 0
2 2 2 2
Use g++ for compilation:
# For the commented version (float)
g++ with-comments.cpp -o jnf_float
./jnf_float
# For the modular arithmetic version
g++ with-check-and-module.cpp -o jnf_mod
./jnf_mod