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Numbering (computability theory)

Numbering (computability theory) 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 Numbering (computability theory) rather than just read about it. In short: In computability theory a numbering is an assignment of natural numbers to a set of objects such as functions, rational numbers, graphs, or words in some formal language. A numbering can be used to transfer the idea of computability and related concepts, which are originally defined on the natural numbers using computable functions, to these different types of objects.

Key takeaways

  • Numbering (computability theory) 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 Numbering (computability theory) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Numbering (computability theory) from memory before moving on to harder problems.

Reference excerpt

In computability theory a numbering is an assignment of natural numbers to a set of objects such as functions, rational numbers, graphs, or words in some formal language. A numbering can be used to transfer the idea of computability and related concepts, which are originally defined on the natural numbers using computable functions, to these different types of objects. Common examples of numberings include Gödel numberings in first-order logic, the description numbers that arise from universal Turing machines and admissible numberings of the set of partial computable functions.

Definition and examples A numbering of a set S {\displaystyle S} is a surjective partial function from N {\displaystyle \mathbb {N} } to S (Ershov 1999:477). The value of a numbering ν {\displaystyle \nu } at a number i (if defined) is often written ν i {\displaystyle \nu _{i}} instead of the usual ν ( i ) {\displaystyle \nu (i)} . Examples of numberings include:

The set of all finite subsets of N {\displaystyle \mathbb {N} } has a numbering γ {\displaystyle \gamma } , defined so that γ ( 0 ) = ∅ {\displaystyle \gamma (0)=\emptyset } and so that, for each finite nonempty set A = { a 0 , … , a k } {\displaystyle A=\{a_{0},\ldots ,a_{k}\}} , γ ( n A ) = A {\displaystyle \gamma (n_{A})=A} where n A = ∑ i ≤ k 2 a i {\displaystyle n_{A}=\sum _{i\leq k}2^{a_{i}}} (Ershov 1999:477). This numbering is an injection. A fixed Gödel numbering φ i {\displaystyle \varphi _{i}} of the computable partial functions can be used to define a numbering W of the computably enumerable sets, by letting by W(i) be the domain of φ i {\displaystyle \varphi _{i}} . This numbering will be surjective (like all numberings) but not injective: there will be distinct numbers that map to the same computably enumerable set under W.

Types of numberings A numbering is total if it is a total function. If the domain of a partial numbering is computably enumerable then there always exists an equivalent total numbering (equivalence of numberings is defined below). A numbering η is decidable if the set { ( x , y ) : η ( x ) = η ( y ) } {\displaystyle \{(x,y):\eta (x)=\eta (y)\}} is a decidable set. A numbering η is single-valued if η(x) = η(y) if and only if x=y; in other words if η is an injective function. A single-valued numbering of the set of partial computable functions is called a Friedberg numbering.

Comparison of numberings There is a preorder on the set of all numberings. Let ν 1 : N ⇀ S {\displaystyle \nu _{1}:\mathbb {N} \rightharpoonup S} and ν 2 : N ⇀ S {\displaystyle \nu _{2}:\mathbb {N} \rightharpoonup S} be two numberings. Then ν 1 {\displaystyle \nu _{1}} is reducible to ν 2 {\displaystyle \nu _{2}} , written ν 1 ≤ ν 2 {\displaystyle \nu _{1}\leq \nu _{2}} , if

∃ f ∈ P ( 1 ) ∀ i ∈ D o m a i n ( ν 1 ) : ν 1 ( i ) = ν 2 ∘ f ( i ) . {\displaystyle \exists f\in \mathbf {P} ^{(1)}\,\forall i\in \mathrm {Domain} (\nu _{1}):\nu _{1}(i)=\nu _{2}\circ f(i).}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Numbering (computability theory)

Start with the simplest possible case. Write down what Numbering (computability theory) 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 Numbering (computability theory) 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 Numbering (computability theory) 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 Numbering (computability theory)

In research
Numbering (computability theory) 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 Numbering (computability theory) 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
Numbering (computability theory) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computability theory, Theory of computation, so understanding it makes those chapters shorter.
In everyday life
Look for Numbering (computability theory) 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 Numbering (computability theory) in 20 minutes

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

Frequently asked questions

What is Numbering (computability theory) in simple terms?

In computability theory a numbering is an assignment of natural numbers to a set of objects such as functions, rational numbers, graphs, or words in some formal language. A numbering can be used to transfer the idea of computability and related concepts, which are originally defined on the natural…

Why does Numbering (computability theory) 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 Numbering (computability theory)?

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 Numbering (computability theory).

Tags

  • Computability theory
  • Theory of computation

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