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name: analyze-prime-numbers locale: caveman source_locale: en source_commit: 82c77053 fence_basis_commit: 82c77053 translator: "Julius Brussee homage — caveman" translation_date: "2026-04-19" description: > Analyze prime numbers using primality tests, factorization algorithms, prime distribution analysis, and sieve methods. Covers trial division, Miller-Rabin, Sieve of Eratosthenes, and the Prime Number Theorem. Use when determining whether an integer is prime or composite, finding prime factorizations, counting or listing primes up to a bound, or investigating prime properties within a number-theoretic proof or computation. license: MIT allowed-tools: Read Bash metadata: author: Philipp Thoss version: "1.0" domain: number-theory complexity: intermediate language: multi tags: number-theory, primes, primality, factorization, sieve

Analyze Prime Numbers

Analyze prime numbers. Select and apply appropriate algorithm for task at hand: primality testing, integer factorization, or prime distribution analysis. Verify results computationally. Relate findings to Prime Number Theorem.

When Use

• Determining whether given integer is prime or composite
• Finding complete prime factorization of integer
• Counting or listing primes up to given bound
• Verifying Prime Number Theorem approximation for specific range
• Investigating properties of primes in number-theoretic proof or computation

Inputs

• Required: Integer(s) to analyze, or bound for distribution analysis
• Required: Task type -- one of: primality test, factorization, distribution analysis
• Optional: Preferred algorithm (trial division, Miller-Rabin, Sieve of Eratosthenes, Pollard's rho)
• Optional: Whether to produce formal proof of primality or just computational verdict
• Optional: Output format (factor tree, prime list, count, table)

Steps

Step 1: Determine Task Type

Classify request into one of three categories. Select appropriate algorithmic path.

1. Primality test: Given single integer n, determine whether n is prime.
2. Factorization: Given composite integer n, find its complete prime factorization.
3. Distribution analysis: Given bound N, analyze primes up to N (count, list, gaps, density).

Record task type and input value(s).

Got: Clear classification with input values recorded.

If fail: Input ambiguous (e.g., "analyze 60")? Ask user to clarify whether they want primality test, factorization, or distribution analysis. Default to factorization for composite numbers and primality confirmation for suspected primes.

Step 2: Apply Primality Testing (if task = primality)

Test whether n prime using algorithm matched to size of n.

1. Handle trivial cases: n < 2 not prime. n = 2 or n = 3 prime. n even and n > 2? Composite.

2. Small n (n < 10^6): Use trial division.

   • Test divisibility by all primes p up to floor(sqrt(n)).
   • Optimization: test 2, then odd numbers 3, 5, 7, ... or use 6k +/- 1 wheel.
   • No divisor found? n prime.

3. Large n (n >= 10^6): Use Miller-Rabin probabilistic test.

   • Write n - 1 = 2^s * d where d is odd.
   • For each witness a in {2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37}:
     • Compute x = a^d mod n.
     • x = 1 or x = n - 1? This witness passes.
     • Otherwise, square x up to s - 1 times. x ever equals n - 1? Pass.
     • No pass? n composite (a is witness).
   • For n < 3.317 * 10^24, witnesses {2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37} give deterministic result.

4. Record verdict: prime or composite, with witness or certificate.

Small primes reference (first 25):

Index	Prime	Index	Prime	Index	Prime
1	2	10	29	19	67
2	3	11	31	20	71
3	5	12	37	21	73
4	7	13	41	22	79
5	11	14	43	23	83
6	13	15	47	24	89
7	17	16	53	25	97
8	19	17	59
9	23	18	61

Got: Definitive answer (prime or composite) with algorithm used and any witnesses or divisors found.

If fail: Miller-Rabin reports "probably prime" but certainty required? Escalate to deterministic test (e.g., AKS or ECPP). For trial division, computation too slow? Switch to Miller-Rabin.

Step 3: Apply Factorization (if task = factorization)

Factor n complete into its prime power decomposition.

1. Extract small factors by trial division:

   • Divide out 2 as many times as possible, recording exponent.
   • Divide out odd primes 3, 5, 7, 11, ... up to cutoff (e.g., 10^4 or sqrt(n) if n small).
   • After each division, update n to remaining cofactor.

2. Cofactor > 1 and cofactor < 10^12: Continue trial division up to sqrt(cofactor).

3. Cofactor > 1 and cofactor >= 10^12: Apply Pollard's rho algorithm.

   • Choose f(x) = x^2 + c (mod n) with random c.
   • Use Floyd's cycle detection: x = f(x), y = f(f(y)).
   • Compute d = gcd(|x - y|, n) at each step.
   • 1 < d < n? d is non-trivial factor. Recurse on d and n/d.
   • d = n? Retry with different c.

4. Verify: Multiply all found prime factors (with exponents) and confirm product equals original n. Test each factor for primality.

5. Present result in standard form: n = p1^a1 * p2^a2 * ... * pk^ak with p1 < p2 < ... < pk.

Algorithm complexity notes:

Algorithm	Complexity	Best for
Trial division	O(sqrt(n))	n < 10^12
Pollard's rho	O(n^{1/4}) expected	n up to ~10^18
Quadratic sieve	L(n)^{1+o(1)}	n up to ~10^50
GNFS	L(n)^{(64/9)^{1/3}+o(1)}	n > 10^50

Got: Complete prime factorization in canonical form, verified by multiplication.

If fail: Pollard's rho fails to find factor after many iterations (cycle detected without non-trivial gcd)? Try different values of c (at least 5 attempts). All fail? Cofactor may be prime -- confirm with primality test.

Step 4: Apply Distribution Analysis (if task = distribution)

Analyze distribution of primes up to given bound N.

1. Generate primes using Sieve of Eratosthenes:

   • Create boolean array of size N + 1, initialized to true.
   • Set indices 0 and 1 to false (not prime).
   • For each p from 2 to floor(sqrt(N)):
     • p still marked true? Mark all multiples p^2, p^2 + p, p^2 + 2p, ... as false.
   • Collect all indices still marked true.

2. Count primes: Compute pi(N) = number of primes up to N.

3. Compare with Prime Number Theorem:

   • PNT approximation: pi(N) ~ N / ln(N).
   • Logarithmic integral approximation: Li(N) = integral from 2 to N of 1/ln(t) dt.
   • Compute relative error: |pi(N) - N/ln(N)| / pi(N).

4. Analyze prime gaps (optional):

   • Compute gaps between consecutive primes.
   • Report maximum gap, average gap, any twin primes (gap = 2).
   • Average gap near N approximately ln(N).

5. Present findings in summary table:

Bound N:       1,000,000
pi(N):         78,498
N/ln(N):       72,382
Li(N):         78,628
Relative error (N/ln(N)):  7.79%
Relative error (Li(N)):    0.17%
Max prime gap:  148 (between 492113 and 492227)
Twin primes:    8,169 pairs

Got: Count of primes with PNT comparison and optional gap analysis.

If fail: N too large for in-memory sieving (N > 10^9)? Use segmented sieve that processes range in blocks. Only count needed (not list)? Use Meissel-Lehmer algorithm for pi(N) directly.

Step 5: Verify Results Computationally

Cross-check all results using independent computation method.

1. For primality: Trial division used? Verify with quick Miller-Rabin pass (or vice versa). For known primes, check against published prime tables or OEIS sequences.

2. For factorization: Multiply all factors and confirm equality with original input. Independently test each claimed prime factor for primality.

3. For distribution: Spot-check by testing 3-5 individual numbers from sieve output for primality. Compare pi(N) against published values for standard benchmarks (pi(10^k) for k = 1, ..., 9).

Published values of pi(N):

N	pi(N)
10	4
100	25
1,000	168
10,000	1,229
100,000	9,592
10^6	78,498
10^7	664,579
10^8	5,761,455
10^9	50,847,534

4. Document verification with method used and outcome.

Got: All results independently verified with no discrepancies.

If fail: Verification reveals discrepancy? Re-run original computation with extra checks enabled (e.g., verbose trial division logging). Most common errors: off-by-one in sieve bounds, integer overflow in modular arithmetic, mistaking pseudoprime for prime.

Checks

• Task type correctly classified (primality, factorization, distribution)
• Algorithm appropriate for input size
• Trivial cases (n < 2, n = 2, even n) handled before general algorithms
• Primality verdicts definitive (not "probably prime" without qualification)
• Factorizations multiply back to original number
• Every claimed prime factor tested for primality
• Sieve bounds include sqrt(N) coverage for marking composites
• PNT comparison uses correct formula (N/ln(N) or Li(N))
• Results verified by independent method or against published values
• Edge cases (n = 0, 1, 2, negative inputs) addressed

Pitfalls

• Forgetting n = 1 not prime: By convention, 1 neither prime nor composite. Many algorithms silently misclassify it.

• Integer overflow in modular exponentiation: When computing a^d mod n for Miller-Rabin, naive exponentiation overflows. Use modular exponentiation (repeated squaring with mod at each step).

• Sieve off-by-one errors: Sieve must mark composites starting from p^2, not from 2p. Starting from 2p wastes time but correct; starting from p+1 wrong.

• Pollard's rho cycle with d = n: gcd(|x - y|, n) = n? Algorithm has found trivial factor. Retry with different polynomial constant c, not just different starting point.

• Carmichael numbers fooling Fermat's test: Numbers like 561 = 3 * 11 * 17 pass Fermat's primality test for all coprime bases. Always use Miller-Rabin, not plain Fermat.

• Confusing pi(n) with constant pi: Prime counting function pi(n) and circle constant 3.14159... share notation. Context must be unambiguous.

See Also

• solve-modular-arithmetic -- Modular arithmetic underpins Miller-Rabin and many factorization methods
• explore-diophantine-equations -- Prime factorization is prerequisite for solving many Diophantine equations
• formulate-quantum-problem -- Shor's algorithm for integer factorization connects primes to quantum computing