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7 results · all verified · 4 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 3 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Chebyshev Bounds and Mertens Theorems — Examples

1 · Prerequisites

2 · Summary

These examples keep the page's estimates concrete. They tabulate the basic Chebyshev functions, factor one central binomial coefficient all the way down, and record the finite residual scan that closes the explicit cutoff in the Bertrand proof.

The final examples are deliberately logical rather than numerical. They isolate two common overreads: Chebyshev bounds are not the prime number theorem, and a mere Θ(1/logx) product estimate does not determine the exact constant eγ.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

A table of pi(x), theta(x), and psi(x)

Example

For x=10,20,30 one has

xπ(x)θ(x)ψ(x)ψ(x)θ(x)1045.3471087.8320142.48490720816.08760419.2656583.178054301022.59039528.4764995.886104

and the jumps of ψ up to 30 occur exactly at the prime powers 2,3,4,5,7,8,9,11,13,16,17,19,23,25,27,29.

Facts & Assumptions

Given: The cutoffs x=10,20,30.

[L1]

π(x) counts primes, θ(x) sums logp over primes, and ψ(x) sums Λ(n) over integers nx (The prime-counting function, Chebyshev's theta function, Chebyshev's psi function).

[L2]

The function ψ is the sum of logp over prime powers pkx (Prime-power expansion of Chebyshev's psi function).

[L3]

The difference ψ(x)θ(x) is carried entirely by prime powers pk with k2 (Psi and theta differ by at most a square-root term).

Verification

technique · direct
1.1

For x=10, the primes are 2,3,5,7, so π(10)=4 and θ(10)=log2+log3+log5+log7. By [L2], the prime powers at most 10 are 2,3,4,5,7,8,9, so ψ(10)=3log2+2log3+log5+log7. These are exactly the first row entries in the displayed table.

L1L2givenalgebra
2.1

The same calculation at x=20 and x=30 gives the remaining table rows. Up to 30, the extra contribution in ψθ comes exactly from 4,8,9,16,25,27, which is the prime-power layer described in [L3].

L1L2L3step 1.1algebra
3.1

The table illustrates two qualitative points from the A page: ψ and θ stay close, but ψ jumps at every prime power while θ jumps only at the primes.

L3step 1.1step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Factoring a central binomial coefficient to detect interval primes

Example

At n=10,

(2010)=184756=2211131719.

Thus every prime in (10,20] appears, exactly as the valuation lemma predicts.

Facts & Assumptions

Given: The value n=10.

[L1]

The central binomial coefficient satisfies

41021(2010)410

(Central binomial coefficient bounds).

[L2]

Every prime p with 10<p20 divides (2010) exactly once (Prime valuations in the central binomial coefficient).

Verification

technique · direct
1.1

A direct factorization gives (2010)=184756=2211131719. The primes in (10,20] are precisely 11,13,17,19, and each appears with valuation 1.

L2givenalgebra
2.1

The bound in [L1] reads 41021184756410, so this concrete value sits comfortably inside the abstract central-binomial window used in Chebyshev's proof.

L1step 1.1algebra
3.1

This example shows exactly how the factorization of (2nn) detects the interval primes: the large primes appear once, while only small primes contribute higher powers.

L2step 1.1step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

The residual finite-range check for Bertrand's postulate

Example

The proof of Bertrand's postulate above isolates a finite residual range: its asymptotic inequality closes all cases n468, so only 2n467 must be checked directly.

Facts & Assumptions

Given: The residual range 2n467 from Bertrand's postulate.

[L1]

Bertrand's postulate is already proved abstractly, with the only explicit finite remainder being the interval 2n467 (Bertrand's postulate).

Verification

technique · direct
1.1

The following short certificate covers the entire residual range. Each displayed number is prime, and a prime p is a witness for every integer n with p/2<n<p: pintegers n covered 325347461371223122243224283428216382162317159316631316630 Consecutive ranges in the second column overlap or meet consecutively, and their union contains every integer from 2 through 467. For each covered n, the corresponding prime satisfies n<p<2n.

givenalgebra
2.1

Therefore the finite residual range required by [L1] is closed. This check is evidence for the remaining finitely many cases only; it does not replace the asymptotic part of the theorem.

L1step 1.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

Numerics for the first and second Mertens theorems

Example

For x=10,30,100 the weighted and reciprocal prime sums compare with their main terms as follows:

xpxlogpplogxpx1ploglogx101.3126522.3025851.1761900.834032302.3020163.4011971.5334391.2241281003.3694714.6051701.8028171.527180

Facts & Assumptions

Given: The cutoffs x=10,30,100.

[L1]

The first Mertens theorem controls px(logp)/p by logx (Mertens' first theorem for primes).

[L2]

The second Mertens theorem controls px1/p by loglogx (Mertens' second theorem for primes).

Verification

technique · direct
1.1

Summing over the primes up to 10, 30, and 100 gives the four numerical columns in the displayed table.

L1L2givenalgebra
2.1

At each of these three cutoffs, the reciprocal sum is numerically closer to loglogx than the weighted sum is to logx. This small-range comparison is consistent with the nonzero bounded terms allowed by [L1] and [L2], but it is numerical evidence only and does not compare their asymptotic error strengths.

L1L2step 1.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Numerics for the third Mertens theorem

Example

For x=10,30,100 the finite Euler product and its main term eγ/logx are

xpx(11/p)eγ/logx100.2285710.243839300.1579470.1650771000.1203170.121919

Facts & Assumptions

Given: The cutoffs x=10,30,100.

[L1]

The third Mertens theorem gives px(11p)=eγlogx(1+O(1/logx)) (Mertens' third theorem for primes).

[L2]

The constant γ is the Euler-Mascheroni constant (The Euler-Mascheroni constant).

Verification

technique · direct
1.1

Multiplying the Euler factors over the primes up to each cutoff and evaluating the comparison term eγ/logx gives the displayed table.

L1L2givenalgebra
2.1

The agreement improves across this short range, but the table is numerical evidence only. The exact constant eγ on the A page comes from the Gamma-side analytic computation, not from the data itself.

L1step 1.1
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Two-sided Chebyshev bounds do not imply the prime number theorem

Statement refuted

The existence of positive constants c1<c2 with

c1xlogxf(x)c2xlogx

for all sufficiently large x forces

f(x)xlogx.

Facts & Assumptions

Given: The refuted implication and the Chebyshev bound shape from Chebyshev bounds for the prime-counting function.

[L1]

For x>e, one has logx>1>0, so the quotient x/logx is defined.

Counterexample

technique · direct
1.1

Let f(x):=32xlogx(x>e). By [L1] this is well defined, and 1xlogxf(x)2xlogx for every x>e, so the two-sided Chebyshev-type bounds hold.

L1givenconstructalgebra
2.1

But f(x)x/logx=32 for every x>e, so the ratio does not tend to 1. Therefore the displayed implication is false.

step 1.1algebra
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-01Open item page →

A Theta(1/log x) product bound does not determine the Mertens constant

Statement refuted

Knowing only that a positive function F(x) satisfies

F(x)=Θ(1/logx)

determines the exact leading constant in front of 1/logx.

Facts & Assumptions

Given: The weaker Θ(1/logx) conclusion of Shoup's product bound and the exact constant statement of Mertens' third theorem for primes.

[L1]

The second and third Mertens theorems distinguish a bounded-error reciprocal-prime asymptotic from the exact factor eγ in the product formula (Mertens' second theorem for primes, Mertens' third theorem for primes).

Counterexample

technique · direct
1.1

The two positive functions F1(x):=1logx,F2(x):=2logx both satisfy Fj(x)=Θ(1/logx) as x.

givenconstruct
2.1

Their leading constants are different: one is 1 and the other is 2. So a mere Θ(1/logx) estimate leaves the multiplicative constant free. What Mertens' third theorem for primes adds over that weaker statement is exactly the identification of the constant as eγ.

L1step 1.1algebra

Sources