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Singmaster's conjecture

Singmaster's 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 Singmaster's conjecture rather than just read about it. In short: Singmaster's conjecture is a conjecture in combinatorial number theory, named after the British mathematician David Singmaster who proposed it in 1971. It says that there is a finite upper bound on the multiplicities of entries in Pascal's triangle (other than the number 1, which appears infinitely many times).

Key takeaways

  • Singmaster's 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 Singmaster's conjecture to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Singmaster's conjecture from memory before moving on to harder problems.

Reference excerpt

Singmaster's conjecture is a conjecture in combinatorial number theory, named after the British mathematician David Singmaster who proposed it in 1971. It says that there is a finite upper bound on the multiplicities of entries in Pascal's triangle (other than the number 1, which appears infinitely many times). It is clear that the only number that appears infinitely many times in Pascal's triangle is 1, because any other number x can appear only within the first x + 1 rows of the triangle.

Statement Let N(a) be the number of times the number a > 1 appears in Pascal's triangle. In big O notation, the conjecture is:

N ( a ) = O ( 1 ) . {\displaystyle N(a)=O(1).}

In other words, there exists a natural number M {\textstyle M} such that:

N ( a ) ≤ M f o r a l l a . {\displaystyle N(a)\leq M\ \qquad ~{\mathsf {\ for\ all\ }}~\quad a.}

Known bound Singmaster (1971) showed that

N ( a ) = O ( log ⁡ a ) . {\displaystyle N(a)=O(\log a).}

Abbott, Erdős, and Hanson (1974) (see References) refined the estimate to:

N ( a ) = O ( log ⁡ a log ⁡ log ⁡ a ) . {\displaystyle N(a)=O\left({\frac {\log a}{\log \log a}}\right).}

The best currently known (unconditional) bound is

N ( a ) = O ( ( log ⁡ a ) ( log ⁡ log ⁡ log ⁡ a ) ( log ⁡ log ⁡ a ) 3 ) , {\displaystyle N(a)=O\left({\frac {(\log a)(\log \log \log a)}{(\log \log a)^{3}}}\right),}

and is due to Kane (2007). Abbott, Erdős, and Hanson note that, conditional on Cramér's conjecture on gaps between consecutive primes,

N ( a ) = O ( ( log ⁡ a ) 2 / 3 + ε ) {\displaystyle N(a)=O\left((\log a)^{2/3+\varepsilon }\right)}

holds for every ε > 0 {\displaystyle \varepsilon >0} . Singmaster (1975) showed that the Diophantine equation

( n + 1 k + 1 ) = ( n k + 2 ) {\displaystyle {n+1 \choose k+1}={n \choose k+2}}

has infinitely many solutions for the two variables n, k. It follows that there are infinitely many triangle entries of multiplicity at least 6: For any non-negative i, a number a with six appearances in Pascal's triangle is given by either of the above two expressions with

n = F 2 i + 2 F 2 i + 3 − 1 , {\displaystyle n=F_{2i+2}F_{2i+3}-1,}

k = F 2 i F 2 i + 3 − 1 , {\displaystyle k=F_{2i}F_{2i+3}-1,}

where Fj is the jth Fibonacci number (indexed according to the convention that F0 = 0 and F1 = 1). The above two expressions locate two of the appearances; two others appear symmetrically in the triangle with respect to those two; and the other two appearances are at ( a 1 ) {\displaystyle {a \choose 1}} and ( a a − 1 ) . {\displaystyle {a \choose a-1}.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Singmaster's conjecture

Start with the simplest possible case. Write down what Singmaster's 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 Singmaster's 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 Singmaster's 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 Singmaster's conjecture

In research
Singmaster's 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 Singmaster's 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
Singmaster's conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Combinatorics, Conjectures, Factorial and binomial topics, so understanding it makes those chapters shorter.
In everyday life
Look for Singmaster's 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 Singmaster's conjecture in 20 minutes

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

Frequently asked questions

What is Singmaster's conjecture in simple terms?

Singmaster's conjecture is a conjecture in combinatorial number theory, named after the British mathematician David Singmaster who proposed it in 1971. It says that there is a finite upper bound on the multiplicities of entries in Pascal's triangle (other than the number 1, which appears infinitely…

Why does Singmaster's 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 Singmaster's 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 Singmaster's conjecture.

Tags

  • Combinatorics
  • Conjectures
  • Factorial and binomial topics
  • Triangles of numbers
  • Unsolved problems in number theory

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