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Petkovšek's algorithm

Petkovšek's algorithm 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 Petkovšek's algorithm rather than just read about it. In short: Petkovšek's algorithm (also Hyper) is a computer algebra algorithm that computes a basis of hypergeometric terms solution of its input linear recurrence equation with polynomial coefficients. Equivalently, it computes a first order right factor of linear difference operators with polynomial coefficients.

Key takeaways

  • Petkovšek's algorithm 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 Petkovšek's algorithm to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Petkovšek's algorithm from memory before moving on to harder problems.

Reference excerpt

Petkovšek's algorithm (also Hyper) is a computer algebra algorithm that computes a basis of hypergeometric terms solution of its input linear recurrence equation with polynomial coefficients. Equivalently, it computes a first order right factor of linear difference operators with polynomial coefficients. This algorithm was developed by Marko Petkovšek in his PhD-thesis 1992. The algorithm is implemented in all the major computer algebra systems.

Gosper-Petkovšek representation Let K {\textstyle \mathbb {K} } be a field of characteristic zero. A nonzero sequence y ( n ) {\textstyle y(n)} is called hypergeometric if the ratio of two consecutive terms is rational, i.e. y ( n + 1 ) / y ( n ) ∈ K ( n ) {\textstyle y(n+1)/y(n)\in \mathbb {K} (n)} . The Petkovšek algorithm uses as key concept that this rational function has a specific representation, namely the Gosper-Petkovšek normal form. Let r ( n ) ∈ K [ n ] {\textstyle r(n)\in \mathbb {K} [n]} be a nonzero rational function. Then there exist monic polynomials a , b , c ∈ K [ n ] {\textstyle a,b,c\in \mathbb {K} [n]} and 0 ≠ z ∈ K {\textstyle 0\neq z\in \mathbb {K} } such that

r ( n ) = z a ( n ) b ( n ) c ( n + 1 ) c ( n ) {\displaystyle r(n)=z{\frac {a(n)}{b(n)}}{\frac {c(n+1)}{c(n)}}}

and

gcd ( a ( n ) , b ( n + k ) ) = 1 {\textstyle \gcd(a(n),b(n+k))=1} for every nonnegative integer k ∈ N {\textstyle k\in \mathbb {N} } ,

gcd ( a ( n ) , c ( n ) ) = 1 {\textstyle \gcd(a(n),c(n))=1} and

gcd ( b ( n ) , c ( n + 1 ) ) = 1 {\textstyle \gcd(b(n),c(n+1))=1} . This representation of r ( n ) {\textstyle r(n)} is called Gosper-Petkovšek normal form. These polynomials can be computed explicitly. This construction of the representation is an essential part of Gosper's algorithm. Petkovšek added the conditions 2. and 3. of this representation which makes this normal form unique.

Algorithm Using the Gosper-Petkovšek representation one can transform the original recurrence equation into a recurrence equation for a polynomial sequence c ( n ) {\textstyle c(n)} . The other polynomials a ( n ) , b ( n ) {\textstyle a(n),b(n)} can be taken as the monic factors of the first coefficient polynomial p 0 ( n ) {\textstyle p_{0}(n)} resp. the last coefficient polynomial shifted p r ( n − r + 1 ) {\textstyle p_{r}(n-r+1)} . Then z {\textstyle z} has to fulfill a certain algebraic equation. Taking all the possible finitely many triples ( a ( n ) , b ( n ) , z ) {\textstyle (a(n),b(n),z)} and computing the corresponding polynomial solution of the transformed recurrence equation c ( n ) {\textstyle c(n)} gives a hypergeometric solution if one exists. In the following pseudocode the degree of a polynomial p ( n ) ∈ K [ n ] {\textstyle p(n)\in \mathbb {K} [n]} is denoted by deg ⁡ ( p ( n ) ) {\textstyle \deg(p(n))} and the coefficient of n d {\textstyle n^{d}} is denoted by coeff ( p ( n ) , n d ) {\textstyle {\text{coeff}}(p(n),n^{d})} .

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Petkovšek's algorithm

Start with the simplest possible case. Write down what Petkovšek's algorithm 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 Petkovšek's algorithm 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 Petkovšek's algorithm 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 Petkovšek's algorithm

In research
Petkovšek's algorithm 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 Petkovšek's algorithm 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
Petkovšek's algorithm is common in secondary-school and first-year university syllabi. It links to neighbouring topics Combinatorics, so understanding it makes those chapters shorter.
In everyday life
Look for Petkovšek's algorithm 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 Petkovšek's algorithm in 20 minutes

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

Frequently asked questions

What is Petkovšek's algorithm in simple terms?

Petkovšek's algorithm (also Hyper) is a computer algebra algorithm that computes a basis of hypergeometric terms solution of its input linear recurrence equation with polynomial coefficients. Equivalently, it computes a first order right factor of linear difference operators with polynomial coeffic…

Why does Petkovšek's algorithm 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 Petkovšek's algorithm?

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 Petkovšek's algorithm.

Tags

  • Combinatorics

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