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Lindelöf hypothesis

Lindelöf hypothesis is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Lindelöf hypothesis rather than just read about it. In short: In mathematics, the Lindelöf hypothesis is a conjecture by Finnish mathematician Ernst Leonard Lindelöf about the rate of growth of the Riemann zeta function on the critical line. This hypothesis is implied by the Riemann hypothesis.

Lindelöf hypothesis — main illustration
Lindelöf hypothesis — illustration

Key takeaways

  • Lindelöf hypothesis belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Lindelöf hypothesis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Lindelöf hypothesis from memory before moving on to harder problems.

Reference excerpt

In mathematics, the Lindelöf hypothesis is a conjecture by Finnish mathematician Ernst Leonard Lindelöf about the rate of growth of the Riemann zeta function on the critical line. This hypothesis is implied by the Riemann hypothesis. It says that for any ε > 0,

ζ ( 1 2 + i t ) = O ( t ε ) {\displaystyle \zeta \!\left({\frac {1}{2}}+it\right)\!=O(t^{\varepsilon })}

as t tends to infinity (see big O notation). Since ε can be replaced by a smaller value, the conjecture can be restated as follows: for any positive ε,

ζ ( 1 2 + i t ) = o ( t ε ) . {\displaystyle \zeta \!\left({\frac {1}{2}}+it\right)\!=o(t^{\varepsilon }).}

The μ function If σ is real, then μ(σ) is defined to be the infimum of all real numbers a such that ζ(σ + iT ) = O(T a). It is trivial to check that μ(σ) = 0 for σ > 1, and the functional equation of the zeta function implies that μ(σ) = μ(1 − σ) − σ + 1/2. The Phragmén–Lindelöf theorem implies that μ is a convex function. The Lindelöf hypothesis states μ(1/2) = 0, which together with the above properties of μ implies that μ(σ) is 0 for σ ≥ 1/2 and 1/2 − σ for σ ≤ 1/2. Lindelöf's convexity result together with μ(1) = 0 and μ(0) = 1/2 implies that 0 ≤ μ(1/2) ≤ 1/4. The upper bound of 1/4 was lowered by Hardy and Littlewood to 1/6 by applying Weyl's method of estimating exponential sums to the approximate functional equation. It has since been lowered to slightly less than 1/6 by several authors using long and technical proofs, as in the following table.

Relation to the Riemann hypothesis Backlund (1918–1919) showed that the Lindelöf hypothesis is equivalent to the following statement about the zeros of the zeta function: for every ε > 0, the number of zeros with real part at least 1/2 + ε and imaginary part between T and T + 1 is o(log(T)) as T tends to infinity. The Riemann hypothesis implies that there are no zeros at all in this region and so implies the Lindelöf hypothesis. The number of zeros with imaginary part between T and T + 1 is known to be O(log(T)), so the Lindelöf hypothesis seems only slightly stronger than what has already been proved, but in spite of this it has resisted all attempts to prove it.

Means of powers (or moments) of the zeta function The Lindelöf hypothesis is equivalent to the statement that

1 T ∫ 0 T | ζ ( 1 / 2 + i t ) | 2 k d t = O ( T ε ) {\displaystyle {\frac {1}{T}}\int _{0}^{T}|\zeta (1/2+it)|^{2k}\,dt=O(T^{\varepsilon })}

for all positive integers k and all positive real numbers ε. This has been proved for k = 1 or 2, but the case k = 3 seems much harder and is still an open problem. There is a much more precise conjecture about the asymptotic behavior of the integral: it is believed that

∫ 0 T | ζ ( 1 / 2 + i t ) | 2 k d t = T ∑ j = 0 k 2 c k , j log ⁡ ( T ) k 2 − j + o ( T ) {\displaystyle \int _{0}^{T}|\zeta (1/2+it)|^{2k}\,dt=T\sum _{j=0}^{k^{2}}c_{k,j}\log(T)^{k^{2}-j}+o(T)}

for some constants ck, j. This has been proved by Littlewood for k = 1 and by Heath-Brown for k = 2 (extending a result of Ingham who found the leading term). Conrey and Ghosh suggested the value

42 9 ! ∏ p ( ( 1 − p − 1 ) 4 ( 1 + 4 p − 1 + p − 2 ) ) {\displaystyle {\frac {42}{9!}}\prod _{p}\left((1-p^{-1})^{4}(1+4p^{-1}+p^{-2})\right)}

for the leading coefficient when k is 3, and Keating and Snaith used random matrix theory to suggest some conjectures for the values of the coefficients for higher k. The leading coefficients are conjectured to be the product of an elementary factor, a certain product over primes, and the number of n × n Young tableaux given by the sequence

1, 1, 2, 42, 24024, 701149020, ... (sequence A039622 in the OEIS).

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Lindelöf hypothesis

Start with the simplest possible case. Write down what Lindelöf hypothesis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Lindelöf hypothesis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Lindelöf hypothesis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Lindelöf hypothesis

In research
Lindelöf hypothesis appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Lindelöf hypothesis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Lindelöf hypothesis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Analytic number theory, Conjectures, Unsolved problems in number theory, so understanding it makes those chapters shorter.
In everyday life
Look for Lindelöf hypothesis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Lindelöf hypothesis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Lindelöf hypothesis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Lindelöf hypothesis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lindelöf hypothesis in simple terms?

In mathematics, the Lindelöf hypothesis is a conjecture by Finnish mathematician Ernst Leonard Lindelöf about the rate of growth of the Riemann zeta function on the critical line. This hypothesis is implied by the Riemann hypothesis.

Why does Lindelöf hypothesis matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Lindelöf hypothesis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Lindelöf hypothesis.

Tags

  • Analytic number theory
  • Conjectures
  • Unsolved problems in number theory
  • Zeta and L-functions

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