Modular Arithmetic
Authors: Darren Yao, Michael Cao, Andi Qu, Benjamin Qi, Andrew Wang
Contributors: Kevin Sheng, Mihnea Brebenel
Working with remainders from division.
Prerequisites
Resources | ||||
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AryanshS | introduces modular arithmetic through numerous math-contest-level examples and problems | |||
IUSACO | very brief, module is based off this | |||
David Altizio | plenty of examples from math contests | |||
CPH | ||||
PAPS | ||||
CF | some practice probs | |||
MONT |
Introduction
In modular arithmetic, instead of working with integers themselves, we work with their remainders when divided by . We call this taking modulo . For example, if we take , then instead of working with , we use . Usually, will be a large prime, given in the problem; the two most common values are and . Modular arithmetic is used to avoid dealing with numbers that overflow built-in data types, because we can take remainders, according to the following formulas:
Modular Exponentiation
Focus Problem – try your best to solve this problem before continuing!
Resources
Resources | ||||
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cp-algo |
Binary exponentiation can be used to efficently compute . To do this, let's break down into binary components. For example, = = . Then, if we know for all which are powers of two (, , , , , we can compute in .
To deal with , observe that modulo doesn't affect multiplications, so we can directly implement the above "binary exponentiation" algorithm while adding a line to take results .
Solution - Exponentiation
C++
#include <bits/stdc++.h>using namespace std;using ll = long long;ll exp(ll x, ll n, ll m) {assert(n >= 0);x %= m; // note: m * m must be less than 2^63 to avoid ll overflowll res = 1;while (n > 0) {
Java
import java.io.*;import java.util.*;public class Exponentation {public static void main(String[] args) throws IOException {BufferedReader br =new BufferedReader(new InputStreamReader(System.in));PrintWriter out = new PrintWriter(System.out);int n = Integer.parseInt(br.readLine());for (int i = 0; i < n; i++) {
Python
We can use Python's builtin pow
function to efficently compute modulo powers.
MOD = 10**9 + 7for _ in range(int(input())):first, second = [int(i) for i in input().split()]print(pow(first, second, MOD))
Modular Inverse
The modular inverse is the equivalent of the reciprocal in real-number arithmetic; to divide by , multiply by the modular inverse of . We'll only consider prime moduli here.
For example, the inverse of modulo is . This means that for any integer ,
For example, .
Resources | ||||
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cp-algo | Various ways to take modular inverse, we'll only discuss the second here |
With Exponentiation
Fermat's Little Theorem (not to be confused with Fermat's Last Theorem) states that all integers not divisible by satisfy . Consequently, . Therefore, is a modular inverse of modulo .
C++
const int MOD = 1e9 + 7;int main() {ll x = exp(2, MOD - 2, MOD);cout << x << "\n"; // 500000004assert(2 * x % MOD == 1);}
Java
public class Main {public static final int MOD = (int)Math.pow(10, 9) + 7;public static void main(String[] args) throws IOException {long x = exp(2, MOD - 2, MOD);System.out.println(x); // 500000004assert (2 * x % MOD == 1);}}
Python
MOD = 10**9 + 7x = pow(2, MOD - 2, MOD)print(x) # 500000004assert 2 * x % MOD == 1
With Euclidean Division
We can also find modular inverses through Euclidean Division. Given the prime modulus we have: , where k = and . Then: .
Here is a short recursive implementation of the above formula:
C++
int inv(int x) {if (x <= 1) { return x; }return MOD - MOD / x * inv(MOD % x) % MOD;}
The advantage of this approach is that we can precompute the inverse modular of numbers in the range in .
C++
inv[1] = 1;for (int i = 2; i < m; i++) { inv[i] = m - m / i * inv[m % i] % m; }
Because it takes time to compute a modular inverse modulo , frequent use of division inside a loop can significantly increase the running time of a program. If the modular inverse of the same number(s) is/are being used many times, it is a good idea to precalculate it.
Also, one must always ensure that they do not attempt to divide by 0. Be aware that after applying modulo, a nonzero number can become zero, so be very careful when dividing by non-constant values.
Optional: Another Way to Compute Modular Inverses
We can also use the extended Euclidean algorithm. See the module in the Advanced section.
C++
Templates
Here are some templates that implement integer types that automatically wrap around when they exceed a certain modulus:
Resources | ||||
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Benq | ||||
Benq | feasible to type up during a contest | |||
AtCoder | contains a | |||
AtCoder |
Here's an example using Benq's template:
#include <bits/stdc++.h>using namespace std;const int MOD = 1e9 + 7;Code Snippet: ModInt (Click to expand)int main() {{int a = 1e8, b = 1e8, c = 1e8;
And one using AtCoder's:
#include <bits/stdc++.h>using namespace std;#include <atcoder/modint>using mint = atcoder::modint;const int MOD = 1e9 + 7;int main() {// Set a global modulus
Java
Python
Problems
Status | Source | Problem Name | Difficulty | Tags | |
---|---|---|---|---|---|
CSES | Easy | Show TagsModular Arithmetic | |||
CF | Easy | Show TagsModular Arithmetic | |||
YS | Normal | Show TagsModular Arithmetic | |||
CSES | Normal | Show TagsModular Arithmetic |
Module Progress:
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