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Schinzel's hypothesis H

Schinzel's hypothesis H 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 Schinzel's hypothesis H rather than just read about it. In short: In mathematics, Schinzel's hypothesis H is one of the most famous open problems in the topic of number theory. It is a very broad generalization of widely open conjectures such as the twin prime conjecture.

Key takeaways

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

Reference excerpt

In mathematics, Schinzel's hypothesis H is one of the most famous open problems in the topic of number theory. It is a very broad generalization of widely open conjectures such as the twin prime conjecture. The hypothesis is named after Andrzej Schinzel.

Statement The hypothesis claims that for every finite collection { f 1 , f 2 , … , f k } {\displaystyle \{f_{1},f_{2},\ldots ,f_{k}\}} of nonconstant irreducible polynomials over the integers with positive leading coefficients, one of the following conditions holds:

There are infinitely many positive integers n {\displaystyle n} such that all of f 1 ( n ) , f 2 ( n ) , … , f k ( n ) {\displaystyle f_{1}(n),f_{2}(n),\ldots ,f_{k}(n)} are simultaneously prime numbers, or There is an integer m > 1 {\displaystyle m>1} (called a "fixed divisor"), which depends on the polynomials, which always divides the product f 1 ( n ) f 2 ( n ) ⋯ f k ( n ) {\displaystyle f_{1}(n)f_{2}(n)\cdots f_{k}(n)} . (Or, equivalently: There exists a prime p {\displaystyle p} such that for every n {\displaystyle n} there is an i {\displaystyle i} such that p {\displaystyle p} divides f i ( n ) {\displaystyle f_{i}(n)} .) The second condition is satisfied by sets such as f 1 ( x ) = x + 4 , f 2 ( x ) = x + 7 {\displaystyle f_{1}(x)=x+4,f_{2}(x)=x+7} , since ( x + 4 ) ( x + 7 ) {\displaystyle (x+4)(x+7)} is always divisible by 2. It is easy to see that this condition prevents the first condition from being true. Schinzel's hypothesis essentially claims that condition 2 is the only way condition 1 can fail to hold. No effective technique is known for determining whether the first condition holds for a given set of polynomials, but the second one is straightforward to check: letting Q ( x ) = f 1 ( x ) f 2 ( x ) ⋯ f k ( x ) {\displaystyle Q(x)=f_{1}(x)f_{2}(x)\cdots f_{k}(x)} , compute the greatest common divisor of deg ⁡ ( Q ) + 1 {\displaystyle \deg(Q)+1} successive values of Q ( n ) {\displaystyle Q(n)} . One can see by extrapolating with finite differences that this divisor will also divide all other values of Q ( n ) {\displaystyle Q(n)} too. Schinzel's hypothesis builds on the earlier Bunyakovsky conjecture, for a single polynomial, and on the Hardy–Littlewood conjectures and Dickson's conjecture for multiple linear polynomials. It is in turn extended by the Bateman–Horn conjecture.

Examples As a simple example with k = 1 {\displaystyle k=1} ,

x 2 + 1 {\displaystyle x^{2}+1}

has no fixed prime divisor. We therefore expect that there are infinitely many primes

n 2 + 1 {\displaystyle n^{2}+1} . This has not been proved, though. It was one of Landau's conjectures and goes back to Euler, who observed in a letter to Goldbach in 1752 that n 2 + 1 {\displaystyle n^{2}+1} is often prime for n {\displaystyle n} up to 1500. As another example, take k = 2 {\displaystyle k=2} with f 1 ( x ) = x {\displaystyle f_{1}(x)=x} and f 2 ( x ) = x + 2 {\displaystyle f_{2}(x)=x+2} . The hypothesis then implies the existence of infinitely many twin primes, a famous open problem.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Schinzel's hypothesis H

Start with the simplest possible case. Write down what Schinzel's hypothesis H 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 Schinzel's hypothesis H 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 Schinzel's hypothesis H 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 Schinzel's hypothesis H

In research
Schinzel's hypothesis H 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 Schinzel's hypothesis H 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
Schinzel's hypothesis H is common in secondary-school and first-year university syllabi. It links to neighbouring topics Analytic number theory, Conjectures about prime numbers, Unsolved problems in number theory, so understanding it makes those chapters shorter.
In everyday life
Look for Schinzel's hypothesis H 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 Schinzel's hypothesis H in 20 minutes

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

Frequently asked questions

What is Schinzel's hypothesis H in simple terms?

In mathematics, Schinzel's hypothesis H is one of the most famous open problems in the topic of number theory. It is a very broad generalization of widely open conjectures such as the twin prime conjecture.

Why does Schinzel's hypothesis H 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 Schinzel's hypothesis H?

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 Schinzel's hypothesis H.

Tags

  • Analytic number theory
  • Conjectures about prime numbers
  • Unsolved problems in number theory

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