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Markov number

Markov number 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 Markov number rather than just read about it. In short: A Markov number or Markoff number is a positive integer x, y or z that is part of a solution to the Markov Diophantine equation x 2 + y 2 + z 2 = 3 x y z , {\displaystyle x^{2}+y^{2}+z^{2}=3xyz,\,} studied by Andrey Markoff (1879, 1880). The first few Markov numbers are 1, 2, 5, 13, 29, 34, 89, 169, 194, 233, 433, 610, 985, 1325, ...

Markov number — main illustration
Markov number — illustration

Key takeaways

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

Reference excerpt

A Markov number or Markoff number is a positive integer x, y or z that is part of a solution to the Markov Diophantine equation

x 2 + y 2 + z 2 = 3 x y z , {\displaystyle x^{2}+y^{2}+z^{2}=3xyz,\,}

studied by Andrey Markoff (1879, 1880). The first few Markov numbers are

1, 2, 5, 13, 29, 34, 89, 169, 194, 233, 433, 610, 985, 1325, ... (sequence A002559 in the OEIS) appearing as coordinates of the Markov triples

(1, 1, 1), (1, 1, 2), (1, 2, 5), (1, 5, 13), (2, 5, 29), (1, 13, 34), (1, 34, 89), (2, 29, 169), (5, 13, 194), (1, 89, 233), (5, 29, 433), (1, 233, 610), (2, 169, 985), (13, 34, 1325), ... There are infinitely many Markov numbers and Markov triples.

Markov tree

There are two simple ways to obtain a new Markov triple from an old one (x, y, z). First, one may permute the 3 numbers x,y,z, so in particular one can normalize the triples so that x ≤ y ≤ z. Second, if (x, y, z) is a Markov triple then so is (x, y, 3xy − z). Applying this operation twice returns the same triple one started with. Joining each normalized Markov triple to the 1, 2, or 3 normalized triples one can obtain from this gives a graph starting from (1,1,1) as in the diagram. This graph is connected; in other words every Markov triple can be connected to (1,1,1) by a sequence of these operations. If one starts, as an example, with (1, 5, 13) we get its three neighbors (5, 13, 194), (1, 13, 34) and (1, 2, 5) in the Markov tree if z is set to 1, 5 and 13, respectively. For instance, starting with (1, 1, 2) and trading y and z before each iteration of the transform lists Markov triples with Fibonacci numbers. Starting with that same triplet and trading x and z before each iteration gives the triples with Pell numbers. All the Markov numbers on the regions adjacent to 2's region are odd-indexed Pell numbers (or numbers n such that 2n2 − 1 is a square, OEIS: A001653), and all the Markov numbers on the regions adjacent to 1's region are odd-indexed Fibonacci numbers (OEIS: A001519). Thus, there are infinitely many Markov triples of the form

( 1 , F 2 n − 1 , F 2 n + 1 ) , {\displaystyle (1,F_{2n-1},F_{2n+1}),\,}

where Fk is the kth Fibonacci number. Likewise, there are infinitely many Markov triples of the form

( 2 , P 2 n − 1 , P 2 n + 1 ) , {\displaystyle (2,P_{2n-1},P_{2n+1}),\,}

where Pk is the kth Pell number.

Other properties Aside from the two smallest singular triples (1, 1, 1) and (1, 1, 2), every Markov triple consists of three distinct integers. The unicity conjecture, as remarked by Frobenius in 1913, states that for a given Markov number c, there is exactly one normalized solution having c as its largest element: proofs of this conjecture have been claimed but none seems to be correct. Martin Aigner examines several weaker variants of the unicity conjecture. His fixed numerator conjecture was proved by Rabideau and Schiffler in 2020, while the fixed denominator conjecture and fixed sum conjecture were proved by Lee, Li, Rabideau and Schiffler in 2023. None of the prime divisors of a Markov number is congruent to 3 modulo 4, which implies that an odd Markov number is 1 more than a multiple of 4. Furthermore, if m {\displaystyle m} is a Markov number then none of the prime divisors of 9 m 2 − 4 {\displaystyle 9m^{2}-4} is congruent to 3 modulo 4. An even Markov number is 2 more than a multiple of 32. In his 1982 paper, Don Zagier conjectured that the nth Markov number is asymptotically given by

m n = 1 3 e C n + o ( 1 ) with C = 2.3523414972 … . {\displaystyle m_{n}={\tfrac {1}{3}}e^{C{\sqrt {n+o(1)}}}\quad {\text{with }}C=2.3523414972\ldots \,.}

The error o ( 1 ) = ( log ⁡ ( 3 m n ) / C ) 2 − n {\displaystyle o(1)=(\log(3m_{n})/C)^{2}-n} is plotted below.

… excerpt ends here. Continue reading the full article.

Illustrations

Markov number: Error in the approximation of large Markov numbers
Error in the approximation of large Markov numbers

Worked examples

Example 1 — a first encounter with Markov number

Start with the simplest possible case. Write down what Markov number 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 Markov number 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 Markov number 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 Markov number

In research
Markov number 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 Markov number 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
Markov number is common in secondary-school and first-year university syllabi. It links to neighbouring topics Diophantine approximation, Diophantine equations, Fibonacci numbers, so understanding it makes those chapters shorter.
In everyday life
Look for Markov number 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 Markov number in 20 minutes

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

Frequently asked questions

What is Markov number in simple terms?

A Markov number or Markoff number is a positive integer x, y or z that is part of a solution to the Markov Diophantine equation x 2 + y 2 + z 2 = 3 x y z , {\displaystyle x^{2}+y^{2}+z^{2}=3xyz,\,} studied by Andrey Markoff (1879, 1880). The first few Markov numbers are 1, 2, 5, 13, 29, 34, 89, 169…

Why does Markov number 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 Markov number?

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 Markov number.

Tags

  • Diophantine approximation
  • Diophantine equations
  • Fibonacci numbers

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