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Littlewood conjecture

Littlewood conjecture 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 Littlewood conjecture rather than just read about it. In short: In Diophantine approximation, the Littlewood conjecture is an open problem concerning the simultaneous approximation of two real numbers by rational numbers with the same denominator. It states that, for every pair of real numbers α {\displaystyle \alpha } and β {\displaystyle \beta } , lim inf n → ∞ n ‖ n α ‖ ‖ n β ‖ = 0 , {\displaystyle \liminf _{n\to \infty }n\,\|n\alpha \|\,\|n\beta \|=0,} where ‖ x ‖ = min m ∈…

Key takeaways

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

Reference excerpt

In Diophantine approximation, the Littlewood conjecture is an open problem concerning the simultaneous approximation of two real numbers by rational numbers with the same denominator. It states that, for every pair of real numbers α {\displaystyle \alpha } and β {\displaystyle \beta } ,

lim inf n → ∞ n ‖ n α ‖ ‖ n β ‖ = 0 , {\displaystyle \liminf _{n\to \infty }n\,\|n\alpha \|\,\|n\beta \|=0,}

where

‖ x ‖ = min m ∈ Z | x − m | {\displaystyle \|x\|=\min _{m\in \mathbb {Z} }|x-m|}

is the distance from x {\displaystyle x} to the nearest integer. The conjecture was proposed by J. E. Littlewood around 1930 and remains unresolved. It holds immediately if either number is rational or, more generally, is not badly approximable. Thus any counterexample would have to consist of two badly approximable numbers such that 1 , α , β {\displaystyle 1,\alpha ,\beta } are linearly independent over Q {\displaystyle \mathbb {Q} } . For almost every pair, a stronger assertion was proved by Patrick Gallagher in 1962. In 2006, Manfred Einsiedler, Anatole Katok and Elon Lindenstrauss proved that the set of counterexamples has Hausdorff dimension zero, using rigidity of invariant measures for higher-rank diagonal actions on homogeneous spaces.

Statement and elementary cases The limit-inferior formulation is equivalent to saying that, for every ε > 0 {\displaystyle \varepsilon >0} , there are infinitely many positive integers n {\displaystyle n} such that

n ‖ n α ‖ ‖ n β ‖ < ε . {\displaystyle n\,\|n\alpha \|\,\|n\beta \|<\varepsilon .}

Geometrically, consider the orbit

n ( α , β ) ( mod Z 2 ) ( n = 1 , 2 , … ) {\displaystyle n(\alpha ,\beta ){\pmod {\mathbb {Z} ^{2}}}\qquad (n=1,2,\ldots )}

on the two-dimensional torus. The two factors ‖ n α ‖ {\displaystyle \|n\alpha \|} and ‖ n β ‖ {\displaystyle \|n\beta \|} are the coordinate distances of this point from the integer lattice. The conjecture says that their product is o ( 1 / n ) {\displaystyle o(1/n)} along a subsequence; it does not require either coordinate distance separately to be o ( 1 / n ) {\displaystyle o(1/n)} . If p {\displaystyle p} and q {\displaystyle q} are nearest integers to n α {\displaystyle n\alpha } and n β {\displaystyle n\beta } , respectively, then the same inequality can be written

| α − p n | | β − q n | < ε n 3 . {\displaystyle \left|\alpha -{\frac {p}{n}}\right|\left|\beta -{\frac {q}{n}}\right|<{\frac {\varepsilon }{n^{3}}}.}

Thus the conjecture asks for unusually good simultaneous rational approximations with a common denominator, measured multiplicatively rather than by the maximum of the two errors. A real number α {\displaystyle \alpha } is badly approximable if

inf n ≥ 1 n ‖ n α ‖ > 0. {\displaystyle \inf _{n\geq 1}n\|n\alpha \|>0.}

For an irrational number, this is equivalent to its continued fraction having bounded partial quotients. If α {\displaystyle \alpha } is not badly approximable, then

0 ≤ n ‖ n α ‖ ‖ n β ‖ ≤ 1 2 n ‖ n α ‖ , {\displaystyle 0\leq n\|n\alpha \|\|n\beta \|\leq {\tfrac {1}{2}}n\|n\alpha \|,}

so the conjecture follows immediately; the same argument applies with α {\displaystyle \alpha } and β {\displaystyle \beta } interchanged. The conjecture also holds when 1 , α , β {\displaystyle 1,\alpha ,\beta } are linearly dependent over Q {\displaystyle \mathbb {Q} } .

Reformulations

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Littlewood conjecture

Start with the simplest possible case. Write down what Littlewood conjecture 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 Littlewood conjecture 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 Littlewood conjecture 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 Littlewood conjecture

In research
Littlewood conjecture 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 Littlewood conjecture 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
Littlewood conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Conjectures, Diophantine approximation, Unsolved problems in number theory, so understanding it makes those chapters shorter.
In everyday life
Look for Littlewood conjecture 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 Littlewood conjecture in 20 minutes

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

Frequently asked questions

What is Littlewood conjecture in simple terms?

In Diophantine approximation, the Littlewood conjecture is an open problem concerning the simultaneous approximation of two real numbers by rational numbers with the same denominator. It states that, for every pair of real numbers α {\displaystyle \alpha } and β {\displaystyle \beta } , lim inf n →…

Why does Littlewood conjecture 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 Littlewood conjecture?

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 Littlewood conjecture.

Tags

  • Conjectures
  • Diophantine approximation
  • Unsolved problems in number theory

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