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Three-term recurrence relation

Three-term recurrence relation is a 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 Three-term recurrence relation rather than just read about it. In short: In mathematics, and especially in numerical analysis, a homogeneous linear three-term recurrence relation (TTRR, the qualifiers "homogeneous linear" are usually taken for granted) is a recurrence relation of the form y n + 1 = a n y n + b n y n − 1 {\displaystyle y_{n+1}=a_{n}y_{n}+b_{n}y_{n-1}} for n = 1 , 2 , . . . , {\displaystyle n=1,2,...,} where the sequences { a n } {\displaystyle \{a_{n}\}} and { b n } {\dis…

Key takeaways

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

Reference excerpt

In mathematics, and especially in numerical analysis, a homogeneous linear three-term recurrence relation (TTRR, the qualifiers "homogeneous linear" are usually taken for granted) is a recurrence relation of the form

y n + 1 = a n y n + b n y n − 1 {\displaystyle y_{n+1}=a_{n}y_{n}+b_{n}y_{n-1}} for n = 1 , 2 , . . . , {\displaystyle n=1,2,...,}

where the sequences { a n } {\displaystyle \{a_{n}\}} and { b n } {\displaystyle \{b_{n}\}} , together with the initial values y 0 , y 1 {\displaystyle y_{0},y_{1}} govern the evolution of the sequence { y n } {\displaystyle \{y_{n}\}} .

Applications If the { a n } {\displaystyle \{a_{n}\}} and { b n } {\displaystyle \{b_{n}\}} are constant and independent of the step index n, then the TTRR is a Linear recurrence with constant coefficients of order 2. Arguably the simplest, and most prominent, example for this case is the Fibonacci sequence, which has constant coefficients a n = b n = 1 {\displaystyle a_{n}=b_{n}=1} . Orthogonal polynomials Pn all have a TTRR with respect to degree n,

P n ( x ) = ( A n x + B n ) P n − 1 ( x ) + C n P n − 2 ( x ) {\displaystyle P_{n}(x)=(A_{n}x+B_{n})P_{n-1}(x)+C_{n}P_{n-2}(x)}

where An is not 0. Conversely, Favard's theorem states that a sequence of polynomials satisfying a TTRR is a sequence of orthogonal polynomials. Also many other special functions have TTRRs. For example, the solution to

J n + 1 = 2 n z J n − J n − 1 {\displaystyle J_{n+1}={\frac {2n}{z}}J_{n}-J_{n-1}}

is given by the Bessel function J n = J n ( z ) {\displaystyle J_{n}=J_{n}(z)} . TTRRs are an important tool for the numeric computation of special functions. TTRRs are closely related to continued fractions.

Solution Solutions of a TTRR, like those of a linear ordinary differential equation, form a two-dimensional vector space: any solution can be written as the linear combination of any two linear independent solutions. A unique solution is specified through the initial values y 0 , y 1 {\displaystyle y_{0},y_{1}} .

See also Miller's recurrence algorithm

Literature Walter Gautschi. Computational Aspects of Three-Term Recurrence Relations. SIAM Review, 9:24–80 (1967). Walter Gautschi. Minimal Solutions of Three-Term Recurrence Relation and Orthogonal Polynomials. Mathematics of Computation, 36:547–554 (1981). Amparo Gil, Javier Segura, and Nico M. Temme. Numerical Methods for Special Functions. siam (2007) J. Wimp, Computation with recurrence relations, London: Pitman (1984)

References

Worked examples

Example 1 — a first encounter with Three-term recurrence relation

Start with the simplest possible case. Write down what Three-term recurrence relation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In 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 Three-term recurrence relation 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 Three-term recurrence relation 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 Three-term recurrence relation

In research
Three-term recurrence relation appears in 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 Three-term recurrence relation 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
Three-term recurrence relation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Numerical analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Three-term recurrence relation 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 Three-term recurrence relation in 20 minutes

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

Frequently asked questions

What is Three-term recurrence relation in simple terms?

In mathematics, and especially in numerical analysis, a homogeneous linear three-term recurrence relation (TTRR, the qualifiers "homogeneous linear" are usually taken for granted) is a recurrence relation of the form y n + 1 = a n y n + b n y n − 1 {\displaystyle y_{n+1}=a_{n}y_{n}+b_{n}y_{n-1}} fo…

Why does Three-term recurrence relation matter?

Because it connects several 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 Three-term recurrence relation?

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 Three-term recurrence relation.

Tags

  • Numerical analysis

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