Primality testing is the process of determining whether a given number is prime, which is crucial for cryptographic applications and number theory. Efficient primality tests, such as the AKS primality test, have been developed to handle large numbers, providing deterministic results in polynomial time.
A prime number is a natural number greater than 1 that has no positive divisors other than 1 and itself. Prime numbers are fundamental in number theory due to their role as the building blocks of the integers, analogous to atoms in chemistry.
Fermat's Little Theorem states that if p is a prime number and a is an integer not divisible by p, then a^(p-1) ≡ 1 (mod p). This theorem is fundamental in number theory and has applications in fields such as cryptography, particularly in algorithms like RSA encryption.
The Miller-Rabin Primality Test is a probabilistic algorithm used to determine if a number is a prime, and it's especially useful for testing large numbers due to its efficiency. By repeatedly checking randomness under specific conditions, it can distinguish non-primes with high accuracy, although it cannot absolutely confirm primality without a non-random factorization step.
Elliptic Curve Primality Proving (ECPP) is a sophisticated algorithm used to determine whether a number is prime, leveraging the properties of elliptic curves over finite fields. It stands out for its ability to provide a certificate of primality, which can be independently verified, making it a powerful tool in computational number theory.
Quadratic residues are integers that can be expressed as the square of another integer modulo some number, and they play a crucial role in number theory, particularly in solving congruences and understanding the distribution of quadratic residues and non-residues. They are fundamental in the study of quadratic reciprocity, which is a cornerstone of modern number theory and has applications in cryptography and primality testing.
A quadratic residue modulo n is an integer that can be expressed as the square of another integer modulo n. Understanding quadratic residues is fundamental in number theory and has applications in cryptography, particularly in algorithms like RSA and primality testing.