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Chebyshev Bounds and Mertens Theorems — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Arc Length and Rectifiable Curves
- Arithmetic Functions and Dirichlet Convolution
- Average Orders Divisor Sums and Representation Counts
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Chains, Antichains, Sperner and Dilworth
- Chebyshev Bounds and Mertens Theorems
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Power Series and Analytic Functions
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Equivalent Forms of Completeness
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Incidence Algebras and Möbius Inversion
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Gamma Function
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Logarithm and General Powers
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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 product estimate does not determine the exact constant .
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A table of pi(x), theta(x), and psi(x)
Example
For one has
and the jumps of up to occur exactly at the prime powers .
Facts & Assumptions
Given: The cutoffs .
counts primes, sums over primes, and sums over integers (The prime-counting function, Chebyshev's theta function, Chebyshev's psi function).
The function is the sum of over prime powers (Prime-power expansion of Chebyshev's psi function).
The difference is carried entirely by prime powers with (Psi and theta differ by at most a square-root term).
Verification
For , the primes are , so and By [L2], the prime powers at most are , so These are exactly the first row entries in the displayed table.
The same calculation at and gives the remaining table rows. Up to , the extra contribution in comes exactly from , which is the prime-power layer described in [L3].
The table illustrates two qualitative points from the A page: and stay close, but jumps at every prime power while jumps only at the primes.
Factoring a central binomial coefficient to detect interval primes
Example
At ,
Thus every prime in appears, exactly as the valuation lemma predicts.
Facts & Assumptions
Given: The value .
Every prime with divides exactly once (Prime valuations in the central binomial coefficient).
Verification
A direct factorization gives The primes in are precisely , and each appears with valuation .
The bound in [L1] reads so this concrete value sits comfortably inside the abstract central-binomial window used in Chebyshev's proof.
This example shows exactly how the factorization of detects the interval primes: the large primes appear once, while only small primes contribute higher powers.
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 , so only must be checked directly.
Facts & Assumptions
Given: The residual range from Bertrand's postulate.
Bertrand's postulate is already proved abstractly, with the only explicit finite remainder being the interval (Bertrand's postulate).
Verification
The following short certificate covers the entire residual range. Each displayed number is prime, and a prime is a witness for every integer with : Consecutive ranges in the second column overlap or meet consecutively, and their union contains every integer from through . For each covered , the corresponding prime satisfies .
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.
Numerics for the first and second Mertens theorems
Example
For the weighted and reciprocal prime sums compare with their main terms as follows:
Facts & Assumptions
Given: The cutoffs .
The first Mertens theorem controls by (Mertens' first theorem for primes).
The second Mertens theorem controls by (Mertens' second theorem for primes).
Verification
Summing over the primes up to , , and gives the four numerical columns in the displayed table.
At each of these three cutoffs, the reciprocal sum is numerically closer to than the weighted sum is to . 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.
Numerics for the third Mertens theorem
Example
For the finite Euler product and its main term are
Facts & Assumptions
Given: The cutoffs .
The third Mertens theorem gives (Mertens' third theorem for primes).
The constant is the Euler-Mascheroni constant (The Euler-Mascheroni constant).
Verification
Multiplying the Euler factors over the primes up to each cutoff and evaluating the comparison term gives the displayed table.
The agreement improves across this short range, but the table is numerical evidence only. The exact constant on the A page comes from the Gamma-side analytic computation, not from the data itself.
Two-sided Chebyshev bounds do not imply the prime number theorem
Statement refuted
The existence of positive constants with
for all sufficiently large forces
Facts & Assumptions
Given: The refuted implication and the Chebyshev bound shape from Chebyshev bounds for the prime-counting function.
For , one has , so the quotient is defined.
Counterexample
Let By [L1] this is well defined, and for every , so the two-sided Chebyshev-type bounds hold.
But for every , so the ratio does not tend to . Therefore the displayed implication is false.
A Theta(1/log x) product bound does not determine the Mertens constant
Statement refuted
Knowing only that a positive function satisfies
determines the exact leading constant in front of .
Facts & Assumptions
Given: The weaker conclusion of Shoup's product bound and the exact constant statement of Mertens' third theorem for primes.
The second and third Mertens theorems distinguish a bounded-error reciprocal-prime asymptotic from the exact factor in the product formula (Mertens' second theorem for primes, Mertens' third theorem for primes).
Counterexample
The two positive functions both satisfy as .
Their leading constants are different: one is and the other is . So a mere 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 .