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Integers only. Supports BigInt (e.g. 1050).
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About

Natural numbers, denoted by the set N, form the foundation of discrete mathematics, cryptography, and computer science. Unlike continuous real numbers, natural numbers represent countable, discrete quantities, making them essential for indexing, combinatorics, and number theory. Precision is non-negotiable when dealing with large integers in fields like encryption (RSA), where the properties of prime numbers ensure data security.

This tool utilizes arbitrary-precision arithmetic (BigInt) to handle integers well beyond the standard 64-bit limit. While standard calculators truncate values or switch to scientific notation around 1015, this engine maintains exact precision for inputs exceeding 1050. This capability is critical for calculating factorials, verifying large primes via the Miller-Rabin primality test, and computing exact sums of arithmetic progressions where a single digit error renders the result invalid.

We address the limitations of standard floating-point arithmetic. JavaScript numbers typically lose integrity after MAX_SAFE_INTEGER ( 9×1015). By enforcing strict integer typing and utilizing BigInt logic, this calculator prevents rounding errors that occur in standard spreadsheet software or basic calculators.

number theory primality test bigint calculator factorials arithmetic progression discrete math

Formulas

Below are the fundamental definitions used in the calculation logic. The engine operates strictly within the set of integers Z.

{
Arithmetic Sum: Sn = n2 (2a + (n1)d)Factorial: n! = ni=1 iPerfect Check: σ(n) n = n

For primality testing on large integers (n > 1016), we employ the Miller-Rabin probabilistic test. A number n is a strong pseudoprime to base a if:

ad 1 (mod n) OR a2rd 1 (mod n)

Where n 1 = d 2s.

Reference Data

Property / SequenceDefinitionFirst 5 Values / ExampleGrowth Rate (Complexity)
Natural Numbers Nn {1, 2, 3...}1, 2, 3, 4, 5Linear O(n)
Primes POnly divisible by 1 and itself2, 3, 5, 7, 11x / ln(x)
Factorial n!Product of all k n1, 2, 6, 24, 120Super-exponential n!
Perfect NumbersSum of proper divisors = n6, 28, 496, 8128, 33550336Extremely Rare
Triangular NumbersSum of 1 to n1, 3, 6, 10, 15Quadratic n2
Fibonacci SequenceFn = Fn-1 + Fn-20, 1, 1, 2, 3Exponential φn
Mersenne Primes2p 13, 7, 31, 127, 8191Sparse
Square Numbersn21, 4, 9, 16, 25Quadratic
Sophie Germain Primesp and 2p+1 are prime2, 3, 5, 11, 23Unknown Density
Carmichael NumbersPseudoprimes to all bases561, 1105, 1729, 2465Rare

Frequently Asked Questions

This calculator is strictly for Natural Numbers (Integers > 0). Decimal values belong to the set of Real numbers or Rationals. Operations like Factorials, Primality tests, and modular arithmetic are fundamentally undefined or require the Gamma function extension for non-integers, which is outside the scope of discrete number theory tools.
For inputs exceeding standard integer limits, we use the Miller-Rabin primality test with multiple bases. While technically probabilistic, performing the test with a sufficient number of random bases (deterministically covering known witnesses for smaller ranges) reduces the probability of a "false prime" (pseudoprime) to negligible levels, effectively zero for practical cryptography purposes.
The calculation engine uses BigInt, limited only by your browser's available memory. However, operations like Factorial grow super-exponentially. Calculating 100000! will generate a number with hundreds of thousands of digits, which may freeze the browser tab while rendering. Primality checks are efficient up to approx 10^100.
By definition, a prime number must have exactly two distinct positive divisors: 1 and itself. The number 1 has only one divisor (1), so it fails this criterion. Excluding 1 from primes preserves the Fundamental Theorem of Arithmetic (unique prime factorization).
This calculates the sum of a sequence where each number differs by a constant amount (e.g., 5, 10, 15...). It is frequently used in finance (calculating simple interest aggregates), resource allocation, and algorithm complexity analysis (summing loops).