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Salem–Spencer set

Salem–Spencer set is a science 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 Salem–Spencer set rather than just read about it. In short: In mathematics, and in particular in arithmetic combinatorics, a Salem-Spencer set is a set of numbers no three of which form an arithmetic progression. Salem–Spencer sets are also called 3-AP-free sequences or progression-free sets.

Salem–Spencer set — main illustration
Salem–Spencer set — illustration

Key takeaways

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

Reference excerpt

In mathematics, and in particular in arithmetic combinatorics, a Salem-Spencer set is a set of numbers no three of which form an arithmetic progression. Salem–Spencer sets are also called 3-AP-free sequences or progression-free sets. They have also been called non-averaging sets, but this term has also been used to denote a set of integers none of which can be obtained as the average of any subset of the other numbers. Salem-Spencer sets are named after Raphaël Salem and Donald C. Spencer, who showed in 1942 that Salem–Spencer sets can have nearly-linear size. However a later theorem of Klaus Roth shows that the size is always less than linear.

Examples For k = 1 , 2 , … {\displaystyle k=1,2,\dots } the smallest values of n {\displaystyle n} such that the numbers from 1 {\displaystyle 1} to n {\displaystyle n} have a k {\displaystyle k} -element Salem-Spencer set are

1, 2, 4, 5, 9, 11, 13, 14, 20, 24, 26, 30, 32, 36, ... (sequence A065825 in the OEIS) For instance, among the numbers from 1 to 14, the eight numbers

{1, 2, 4, 5, 10, 11, 13, 14} form the unique largest Salem-Spencer set. This example is shifted by adding one to the elements of an infinite Salem–Spencer set, the Stanley sequence

0, 1, 3, 4, 9, 10, 12, 13, 27, 28, 30, 31, 36, 37, 39, 40, ... (sequence A005836 in the OEIS) of numbers that, when written as a ternary number, use only the digits 0 and 1. This sequence is the lexicographically first infinite Salem–Spencer set. Another infinite Salem–Spencer set is given by the cubes

0, 1, 8, 27, 64, 125, 216, 343, 512, 729, 1000, ... (sequence A000578 in the OEIS) It is a theorem of Leonhard Euler that no three cubes are in arithmetic progression.

Size

In 1942, Salem and Spencer published a proof that the integers in the range from 1 {\displaystyle 1} to n {\displaystyle n} have large Salem–Spencer sets, of size n / e O ( log ⁡ n / log ⁡ log ⁡ n ) {\displaystyle n/e^{O(\log n/\log \log n)}} . The denominator of this expression uses big O notation, and grows more slowly than any power of n {\displaystyle n} , so the sets found by Salem and Spencer have a size that is nearly linear. This bound disproved a conjecture of Paul Erdős and Pál Turán that the size of such a set could be at most n 1 − δ {\displaystyle n^{1-\delta }} for some δ > 0 {\displaystyle \delta >0} . The construction of Salem and Spencer was improved by Felix Behrend in 1946, who found sets of size n / e O ( log ⁡ n ) {\displaystyle n/e^{O({\sqrt {\log n}})}} . In 1952, Klaus Roth proved Roth's theorem establishing that the size of a Salem-Spencer set must be O ( n / log ⁡ log ⁡ n ) {\displaystyle O(n/\log \log n)} . Therefore, although the sets constructed by Salem, Spencer, and Behrend have sizes that are nearly linear, it is not possible to improve them and find sets whose size is actually linear. This result became a special case of Szemerédi's theorem on the density of sets of integers that avoid longer arithmetic progressions. To distinguish Roth's bound on Salem–Spencer sets from Roth's theorem on Diophantine approximation of algebraic numbers, this result has been called Roth's theorem on arithmetic progressions. After several additional improvements to Roth's theorem, the size of a Salem–Spencer set has been proven to be O ( n ( log ⁡ log ⁡ n ) 4 / log ⁡ n ) {\displaystyle O{\bigl (}n(\log \log n)^{4}/\log n{\bigr )}} . An even better bound of O ( n / ( log ⁡ n ) 1 + δ ) {\displaystyle O{\bigl (}n/(\log n)^{1+\delta }{\bigr )}} (for some δ > 0 {\displaystyle \delta >0} that has not been explicitly computed) was announced in 2020 in a preprint. In 2023 a new bound of exp ⁡ ( − c ( log ⁡ N ) 1 / 12 ) N {\displaystyle \exp(-c(\log N)^{1/12})N} was found by computers scientist Kelley and Meka and shortly after an exposition in more familiar mathematical terms was given by Bloom and Sisask who have since also improved the exponent of the Kelly-Meka bound to β = 1 / 9 {\displaystyle \beta =1/9} (and conjectured β = 5 / 41 {\displaystyle \beta =5/41} ) in a preprint.

… excerpt ends here. Continue reading the full article.

Illustrations

Salem–Spencer set: For the set {1, 2, 4, 5, 10, 11, 13, 14}, all midpoints of two elements (the 28 yellow points) land outside the set, so no three elements can form an arithmetic progression
For the set {1, 2, 4, 5, 10, 11, 13, 14}, all midpoints of two elements (the 28 yellow points) land outside the set, so no three elements can form an arithmetic progression

Worked examples

Example 1 — a first encounter with Salem–Spencer set

Start with the simplest possible case. Write down what Salem–Spencer set claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Salem–Spencer set 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 Salem–Spencer set 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 Salem–Spencer set

In research
Salem–Spencer set appears in science 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 Salem–Spencer set 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
Salem–Spencer set is common in secondary-school and first-year university syllabi. It links to neighbouring topics Additive combinatorics, so understanding it makes those chapters shorter.
In everyday life
Look for Salem–Spencer set 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 Salem–Spencer set in 20 minutes

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

Frequently asked questions

What is Salem–Spencer set in simple terms?

In mathematics, and in particular in arithmetic combinatorics, a Salem-Spencer set is a set of numbers no three of which form an arithmetic progression. Salem–Spencer sets are also called 3-AP-free sequences or progression-free sets.

Why does Salem–Spencer set matter?

Because it connects several science 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 Salem–Spencer set?

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 Salem–Spencer set.

Tags

  • Additive combinatorics

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