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Rodrigues' formula

Rodrigues' formula 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 Rodrigues' formula rather than just read about it. In short: In mathematics, Rodrigues' formula (formerly called the Ivory–Jacobi formula) generates the Legendre polynomials. It was independently introduced by Olinde Rodrigues (1816), Sir James Ivory (1824) and Carl Gustav Jacobi (1827).

Key takeaways

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

Reference excerpt

In mathematics, Rodrigues' formula (formerly called the Ivory–Jacobi formula) generates the Legendre polynomials. It was independently introduced by Olinde Rodrigues (1816), Sir James Ivory (1824) and Carl Gustav Jacobi (1827). The name "Rodrigues formula" was introduced by Heine in 1878, after Hermite pointed out in 1865 that Rodrigues was the first to discover it. The term is also used to describe similar formulas for other orthogonal polynomials. Askey (2005) describes the history of the Rodrigues formula in detail.

Statement Let ( P n ( x ) ) n = 0 ∞ {\displaystyle (P_{n}(x))_{n=0}^{\infty }} be a sequence of orthogonal polynomials on the interval [ a , b ] {\displaystyle [a,b]} with respect to weight function w ( x ) {\displaystyle w(x)} . That is, they have degrees deg ⁡ ( P n ) = n {\displaystyle \deg(P_{n})=n} , satisfy the orthogonality condition

∫ a b P m ( x ) P n ( x ) w ( x ) d x = K n δ m , n {\displaystyle \int _{a}^{b}P_{m}(x)P_{n}(x)w(x)\,dx=K_{n}\delta _{m,n}}

where K n {\displaystyle K_{n}} are nonzero constants depending on n {\displaystyle n} , and δ m , n {\displaystyle \delta _{m,n}} is the Kronecker delta. The interval [ a , b ] {\displaystyle [a,b]} may be infinite in one or both ends.

More abstractly, this can be viewed through Sturm–Liouville theory. Define an operator L f := − 1 w ( W f ′ ) ′ {\displaystyle Lf:=-{\frac {1}{w}}(Wf')'} , then the differential equation is equivalent to L P n = λ n P n {\displaystyle LP_{n}=\lambda _{n}P_{n}} . Define the functional space X = L 2 ( [ a , b ] , w ( x ) d x ) {\displaystyle X=L^{2}([a,b],w(x)dx)} as the Hilbert space of functions over [ a , b ] {\displaystyle [a,b]} , such that ⟨ f , g ⟩ := ∫ a b f g w {\displaystyle \langle f,g\rangle :=\int _{a}^{b}fgw} . Then the operator L {\displaystyle L} is self-adjoint on functions satisfying certain boundary conditions, allowing us to apply the spectral theorem.

Generating function A simple argument using Cauchy's integral formula shows that the orthogonal polynomials obtained from the Rodrigues formula have a generating function of the form

G ( x , u ) = ∑ n = 0 ∞ u n P n ( x ) G(x,u)=\sum _{n=0}^{\infty }u^{n}P_{n}(x)

The P n ( x ) {\displaystyle P_{n}(x)} functions here may not have the standard normalizations. But we can write this equivalently as

G ( x , u ) = ∑ n = 0 ∞ u n N n N n P n ( x ) G(x,u)=\sum _{n=0}^{\infty }{\frac {u^{n}}{N_{n}}}N_{n}P_{n}(x)

where the N n {\displaystyle N_{n}} are chosen according to the application so as to give the desired normalizations. The variable u may be replaced by a constant multiple of u so that

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Rodrigues' formula

Start with the simplest possible case. Write down what Rodrigues' formula 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 Rodrigues' formula 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 Rodrigues' formula 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 Rodrigues' formula

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

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

Frequently asked questions

What is Rodrigues' formula in simple terms?

In mathematics, Rodrigues' formula (formerly called the Ivory–Jacobi formula) generates the Legendre polynomials. It was independently introduced by Olinde Rodrigues (1816), Sir James Ivory (1824) and Carl Gustav Jacobi (1827).

Why does Rodrigues' formula 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 Rodrigues' formula?

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 Rodrigues' formula.

Tags

  • Orthogonal polynomials

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