qfall-math 0.2.1

Mathematical foundations for rapid prototyping of lattice-based cryptography
Documentation
// Copyright 2025 Jan Niklas Siemer
//
// This file is part of qFALL-math.
//
// qFALL-math is free software: you can redistribute it and/or modify it under
// the terms of the Mozilla Public License Version 2.0 as published by the
// Mozilla Foundation. See <https://mozilla.org/en-US/MPL/2.0/>.

//! This module includes functionality to compute several norms
//! defined on matrices.

use super::MatZq;
use crate::{
    integer::Z,
    integer_mod_q::Zq,
    rational::Q,
    traits::{MatrixDimensions, MatrixGetEntry, MatrixGetSubmatrix},
};

impl MatZq {
    /// Outputs the squared l_{2, ∞}-norm, i.e. it computes the squared Euclidean
    /// norm of each column of the matrix and returns the largest one.
    ///
    /// # Examples
    /// ```
    /// use qfall_math::{integer_mod_q::MatZq, integer::Z};
    /// use std::str::FromStr;
    ///
    /// let mat = MatZq::from_str("[[2, 3],[2, 0]] mod 7").unwrap();
    ///
    /// let eucl_norm = mat.norm_l_2_infty_sqrd();
    ///
    /// // 3^2 + 0^2 = 9
    /// assert_eq!(Z::from(9), eucl_norm);
    /// ```
    pub fn norm_l_2_infty_sqrd(&self) -> Z {
        let mut max_sqrd_norm = Z::ZERO;
        for i in 0..self.get_num_columns() {
            let column = unsafe { self.get_column_unchecked(i) };
            let sqrd_norm = column.norm_eucl_sqrd().unwrap();
            if sqrd_norm > max_sqrd_norm {
                max_sqrd_norm = sqrd_norm;
            }
        }
        max_sqrd_norm
    }

    /// Outputs the l_{2, ∞}-norm, i.e. it computes the Euclidean
    /// norm of each column of the matrix and returns the largest one.
    ///
    /// # Examples
    /// ```
    /// use qfall_math::{integer_mod_q::MatZq, rational::Q};
    /// use std::str::FromStr;
    ///
    /// let mat = MatZq::from_str("[[2, 3],[2, 0],[3, 4],[3, 4]] mod 5").unwrap();
    ///
    /// let eucl_norm = mat.norm_l_2_infty();
    ///
    /// // sqrt(4 * 2^2) = 4
    /// assert_eq!(Q::from(4), eucl_norm);
    /// ```
    pub fn norm_l_2_infty(&self) -> Q {
        self.norm_l_2_infty_sqrd().sqrt()
    }

    /// Outputs the l_{∞, ∞}-norm, i.e. it computes the ∞-norm
    /// of each column of the matrix and returns the largest one.
    ///
    /// # Examples
    /// ```
    /// use qfall_math::{integer_mod_q::MatZq, integer::Z};
    /// use std::str::FromStr;
    ///
    /// let mat = MatZq::from_str("[[2, 4],[2, 0]] mod 7").unwrap();
    ///
    /// let eucl_norm = mat.norm_l_infty_infty();
    ///
    /// // max{2, 3} = 3
    /// assert_eq!(Z::from(3), eucl_norm);
    /// ```
    pub fn norm_l_infty_infty(&self) -> Z {
        let mut max_norm = Z::ZERO;
        for i in 0..self.get_num_columns() {
            let column = unsafe { self.get_column_unchecked(i) };
            let norm = column.norm_infty().unwrap();
            if norm > max_norm {
                max_norm = norm;
            }
        }
        max_norm
    }

    /// Outputs the hamming weight of `self`, i.e. it returns the number of
    /// non-zero entries in the matrix.
    ///
    /// # Examples
    /// ```
    /// use qfall_math::integer_mod_q::MatZq;
    /// use std::str::FromStr;
    ///
    /// let mat = MatZq::from_str("[[2, 3],[2, 0]] mod 3").unwrap();
    ///
    /// let hamming_weight = mat.hamming_weight();
    ///
    /// assert_eq!(2, hamming_weight);
    /// ```
    pub fn hamming_weight(&self) -> i64 {
        let mut hamming_weight = 0;
        for row in 0..self.get_num_rows() {
            for col in 0..self.get_num_columns() {
                let entry: Zq = unsafe { self.get_entry_unchecked(row, col) };
                if !entry.is_zero() {
                    hamming_weight += 1;
                }
            }
        }
        hamming_weight
    }
}

#[cfg(test)]
mod test_matrix_norms {
    use super::{MatZq, Q, Z};
    use std::str::FromStr;

    /// Ensures that the squared l_{2, ∞}-norm is correctly computed.
    #[test]
    fn norm_sqrd_l_2_infty() {
        let mat = MatZq::from_str("[[3, -2, 5],[-5, -6, 2],[-4, 0, 0],[2, 0, 1]] mod 9").unwrap();

        let sqrd_norm = mat.norm_l_2_infty_sqrd();

        assert_eq!(Z::from(45), sqrd_norm);
    }

    /// Ensures that the l_{2, ∞}-norm is correctly computed.
    #[test]
    fn norm_l_2_infty() {
        let mat = MatZq::from_str("[[-2, -2],[-2, -3],[-2, 0],[2, 0]] mod 5").unwrap();

        let norm = mat.norm_l_2_infty();

        assert_eq!(Q::from(4), norm);
    }

    /// Ensures that the l_{∞, ∞}-norm is correctly computed.
    #[test]
    fn norm_l_infty_infty() {
        let mat = MatZq::from_str("[[-2, 3],[2, -5],[-2, 0]] mod 8").unwrap();

        let infty_norm = mat.norm_l_infty_infty();

        assert_eq!(Z::from(3), infty_norm);
    }
}

#[cfg(test)]
mod test_hamming_weight {
    use super::MatZq;
    use std::str::FromStr;

    /// Ensures that the hamming weight is computed correctly.
    #[test]
    fn hamming_weight() {
        let mat0 = MatZq::new(10, 8, 7);
        let mat1 = MatZq::from_str("[[-2, 3],[2, -4],[-2, 0]] mod 4").unwrap();

        let hw0 = mat0.hamming_weight();
        let hw1 = mat1.hamming_weight();

        assert_eq!(0, hw0);
        assert_eq!(4, hw1);
    }
}