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Quadratic residuosity problem

Quadratic residuosity problem is a computer 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 Quadratic residuosity problem rather than just read about it. In short: The quadratic residuosity problem (QRP) in computational number theory is to decide, given integers a {\displaystyle a} and N {\displaystyle N} , whether a {\displaystyle a} is a quadratic residue modulo N {\displaystyle N} or not. Here N = p 1 p 2 {\displaystyle N=p_{1}p_{2}} for two unknown primes p 1 {\displaystyle p_{1}} and p 2 {\displaystyle p_{2}} , and a {\displaystyle a} is among the numbers which are not o…

Key takeaways

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

Reference excerpt

The quadratic residuosity problem (QRP) in computational number theory is to decide, given integers a {\displaystyle a} and N {\displaystyle N} , whether a {\displaystyle a} is a quadratic residue modulo N {\displaystyle N} or not. Here N = p 1 p 2 {\displaystyle N=p_{1}p_{2}} for two unknown primes p 1 {\displaystyle p_{1}} and p 2 {\displaystyle p_{2}} , and a {\displaystyle a} is among the numbers which are not obviously quadratic non-residues (see below). The problem was first described by Gauss in his Disquisitiones Arithmeticae in 1801. This problem is believed to be computationally difficult. Several cryptographic methods rely on its hardness, see § Applications. An efficient algorithm for the quadratic residuosity problem immediately implies efficient algorithms for other number theoretic problems, such as deciding whether a composite N {\displaystyle N} of unknown factorization is the product of 2 or 3 primes.

Precise formulation Given integers a {\displaystyle a} and T {\displaystyle T} , a {\displaystyle a} is said to be a quadratic residue modulo T {\displaystyle T} if there exists an integer b {\displaystyle b} such that

a ≡ b 2 ( mod T ) {\displaystyle a\equiv b^{2}{\pmod {T}}} . Otherwise we say it is a quadratic non-residue. When T = p {\displaystyle T=p} is a prime, it is customary to use the Legendre symbol:

( a p ) = { 1 if a is a quadratic residue modulo p and a ≢ 0 ( mod p ) , − 1 if a is a quadratic non-residue modulo p , 0 if a ≡ 0 ( mod p ) . {\displaystyle \left({\frac {a}{p}}\right)={\begin{cases}1&{\text{ if }}a{\text{ is a quadratic residue modulo }}p{\text{ and }}a\not \equiv 0{\pmod {p}},\\-1&{\text{ if }}a{\text{ is a quadratic non-residue modulo }}p,\\0&{\text{ if }}a\equiv 0{\pmod {p}}.\end{cases}}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Quadratic residuosity problem

Start with the simplest possible case. Write down what Quadratic residuosity problem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Quadratic residuosity problem 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 Quadratic residuosity problem 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 Quadratic residuosity problem

In research
Quadratic residuosity problem appears in computer 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 Quadratic residuosity problem 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
Quadratic residuosity problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational hardness assumptions, Computational number theory, Theory of cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for Quadratic residuosity problem 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 Quadratic residuosity problem in 20 minutes

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

Frequently asked questions

What is Quadratic residuosity problem in simple terms?

The quadratic residuosity problem (QRP) in computational number theory is to decide, given integers a {\displaystyle a} and N {\displaystyle N} , whether a {\displaystyle a} is a quadratic residue modulo N {\displaystyle N} or not. Here N = p 1 p 2 {\displaystyle N=p_{1}p_{2}} for two unknown prime…

Why does Quadratic residuosity problem matter?

Because it connects several computer 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 Quadratic residuosity problem?

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 Quadratic residuosity problem.

Tags

  • Computational hardness assumptions
  • Computational number theory
  • Theory of cryptography

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