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Li's criterion

Li's criterion 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 Li's criterion rather than just read about it. In short: In number theory, Li's criterion is a particular statement about the positivity of a certain sequence that is equivalent to the Riemann hypothesis. The criterion is named after Xian-Jin Li, who presented it in 1997.

Key takeaways

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

Reference excerpt

In number theory, Li's criterion is a particular statement about the positivity of a certain sequence that is equivalent to the Riemann hypothesis. The criterion is named after Xian-Jin Li, who presented it in 1997. In 1999, Enrico Bombieri and Jeffrey C. Lagarias provided a generalization, showing that Li's positivity condition applies to any collection of points that lie on the Re(s) = 1/2 axis.

Definition The Riemann ξ function is given by

ξ ( s ) = 1 2 s ( s − 1 ) π − s / 2 Γ ( s 2 ) ζ ( s ) {\displaystyle \xi (s)={\frac {1}{2}}s(s-1)\pi ^{-s/2}\Gamma \left({\frac {s}{2}}\right)\zeta (s)}

where ζ is the Riemann zeta function. Consider the sequence

λ n = 1 ( n − 1 ) ! d n d s n [ s n − 1 log ⁡ ξ ( s ) ] | s = 1 . {\displaystyle \lambda _{n}={\frac {1}{(n-1)!}}\left.{\frac {d^{n}}{ds^{n}}}\left[s^{n-1}\log \xi (s)\right]\right|_{s=1}.}

Li's criterion is then the statement that

the Riemann hypothesis is equivalent to the statement that λ n > 0 {\displaystyle \lambda _{n}>0} for every positive integer n {\displaystyle n} . The numbers λ n {\displaystyle \lambda _{n}} (sometimes defined with a slightly different normalization) are called Keiper-Li coefficients or Li coefficients. They may also be expressed in terms of the non-trivial zeros of the Riemann zeta function:

λ n = ∑ ρ [ 1 − ( 1 − 1 ρ ) n ] {\displaystyle \lambda _{n}=\sum _{\rho }\left[1-\left(1-{\frac {1}{\rho }}\right)^{n}\right]}

where the sum extends over ρ, the non-trivial zeros of the zeta function. This conditionally convergent sum should be understood in the sense that is usually used in number theory, namely, that

∑ ρ = lim N → ∞ ∑ | Im ⁡ ( ρ ) | ≤ N . {\displaystyle \sum _{\rho }=\lim _{N\to \infty }\sum _{|\operatorname {Im} (\rho )|\leq N}.}

(Re(s) and Im(s) denote the real and imaginary parts of s, respectively.) The positivity of λ n {\displaystyle \lambda _{n}} has been verified up to n = 10 5 {\displaystyle n=10^{5}} by direct computation.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Li's criterion

Start with the simplest possible case. Write down what Li's criterion 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 Li's criterion 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 Li's criterion 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 Li's criterion

In research
Li's criterion 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 Li's criterion 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
Li's criterion is common in secondary-school and first-year university syllabi. It links to neighbouring topics Zeta and L-functions, so understanding it makes those chapters shorter.
In everyday life
Look for Li's criterion 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 Li's criterion in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Li's criterion 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 Li's criterion out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Li's criterion in simple terms?

In number theory, Li's criterion is a particular statement about the positivity of a certain sequence that is equivalent to the Riemann hypothesis. The criterion is named after Xian-Jin Li, who presented it in 1997.

Why does Li's criterion 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 Li's criterion?

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 Li's criterion.

Tags

  • Zeta and L-functions

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