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K-regular sequence

K-regular sequence 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 K-regular sequence rather than just read about it. In short: In mathematics and theoretical computer science, a k-regular sequence is a sequence satisfying linear recurrence equations that reflect the base-k representations of the integers. The class of k-regular sequences generalizes the class of k-automatic sequences to alphabets of infinite size.

Key takeaways

  • K-regular sequence 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 K-regular sequence to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of K-regular sequence from memory before moving on to harder problems.

Reference excerpt

In mathematics and theoretical computer science, a k-regular sequence is a sequence satisfying linear recurrence equations that reflect the base-k representations of the integers. The class of k-regular sequences generalizes the class of k-automatic sequences to alphabets of infinite size.

Definition There exist several characterizations of k-regular sequences, all of which are equivalent. Some common characterizations are as follows. For each, we take R′ to be a commutative Noetherian ring and we take R to be a ring containing R′.

k-kernel Let k ≥ 2. The k-kernel of the sequence s ( n ) n ≥ 0 {\displaystyle s(n)_{n\geq 0}} is the set of subsequences

K k ( s ) = { s ( k e n + r ) n ≥ 0 : e ≥ 0 and 0 ≤ r ≤ k e − 1 } . {\displaystyle K_{k}(s)=\{s(k^{e}n+r)_{n\geq 0}:e\geq 0{\text{ and }}0\leq r\leq k^{e}-1\}.}

The sequence s ( n ) n ≥ 0 {\displaystyle s(n)_{n\geq 0}} is (R′, k)-regular (often shortened to just "k-regular") if the R ′ {\displaystyle R'} -module generated by Kk(s) is a finitely-generated R′-module. In the special case when R ′ = R = Q {\displaystyle R'=R=\mathbb {Q} } , the sequence s ( n ) n ≥ 0 {\displaystyle s(n)_{n\geq 0}} is k {\displaystyle k} -regular if K k ( s ) {\displaystyle K_{k}(s)} is contained in a finite-dimensional vector space over Q {\displaystyle \mathbb {Q} } .

Linear combinations A sequence s(n) is k-regular if there exists an integer E such that, for all ej > E and 0 ≤ rj ≤ kej − 1, every subsequence of s of the form s(kejn + rj) is expressible as an R′-linear combination ∑ i c i j s ( k f i j n + b i j ) {\displaystyle \sum _{i}c_{ij}s(k^{f_{ij}}n+b_{ij})} , where cij is an integer, fij ≤ E, and 0 ≤ bij ≤ kfij − 1. Alternatively, a sequence s(n) is k-regular if there exist an integer r and subsequences s1(n), ..., sr(n) such that, for all 1 ≤ i ≤ r and 0 ≤ a ≤ k − 1, every sequence si(kn + a) in the k-kernel Kk(s) is an R′-linear combination of the subsequences si(n).

Formal series Let x0, ..., xk − 1 be a set of k non-commuting variables and let τ be a map sending some natural number n to the string xa0 ... xae − 1, where the base-k representation of x is the string ae − 1...a0. Then a sequence s(n) is k-regular if and only if the formal series ∑ n ≥ 0 s ( n ) τ ( n ) {\displaystyle \sum _{n\geq 0}s(n)\tau (n)} is Z {\displaystyle \mathbb {Z} } -rational.

Automata-theoretic The formal series definition of a k-regular sequence leads to an automaton characterization similar to Schützenberger's matrix machine.

History The notion of k-regular sequences was first investigated in a pair of papers by Allouche and Shallit. Prior to this, Berstel and Reutenauer studied the theory of rational series, which is closely related to k-regular sequences.

Examples

Ruler sequence Let s ( n ) = ν 2 ( n + 1 ) {\displaystyle s(n)=\nu _{2}(n+1)} be the 2 {\displaystyle 2} -adic valuation of n + 1 {\displaystyle n+1} . The ruler sequence s ( n ) n ≥ 0 = 0 , 1 , 0 , 2 , 0 , 1 , 0 , 3 , … {\displaystyle s(n)_{n\geq 0}=0,1,0,2,0,1,0,3,\dots } (OEIS: A007814) is 2 {\displaystyle 2} -regular, and the 2 {\displaystyle 2} -kernel

{ s ( 2 e n + r ) n ≥ 0 : e ≥ 0 and 0 ≤ r ≤ 2 e − 1 } {\displaystyle \{s(2^{e}n+r)_{n\geq 0}:e\geq 0{\text{ and }}0\leq r\leq 2^{e}-1\}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with K-regular sequence

Start with the simplest possible case. Write down what K-regular sequence 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 K-regular sequence 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 K-regular sequence 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 K-regular sequence

In research
K-regular sequence 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 K-regular sequence 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
K-regular sequence is common in secondary-school and first-year university syllabi. It links to neighbouring topics Automata (computation), Combinatorics on words, Integer sequences, so understanding it makes those chapters shorter.
In everyday life
Look for K-regular sequence 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 K-regular sequence in 20 minutes

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

Frequently asked questions

What is K-regular sequence in simple terms?

In mathematics and theoretical computer science, a k-regular sequence is a sequence satisfying linear recurrence equations that reflect the base-k representations of the integers. The class of k-regular sequences generalizes the class of k-automatic sequences to alphabets of infinite size.

Why does K-regular sequence 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 K-regular sequence?

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 K-regular sequence.

Tags

  • Automata (computation)
  • Combinatorics on words
  • Integer sequences
  • Recurrence relations

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