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Runge's theorem

Runge's theorem is a mathematics 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 Runge's theorem rather than just read about it. In short: In complex analysis, Runge's theorem (also known as Runge's approximation theorem) is named after the German mathematician Carl Runge who first proved it in 1885. It states the following: Denoting by C the set of complex numbers, let K be a closed subset of C ∪ { ∞ } {\displaystyle \mathbb {C} \cup \{\infty \}} and let f be a function which is holomorphic on an open set containing K.

Runge's theorem — main illustration
Runge's theorem — illustration

Key takeaways

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

Reference excerpt

In complex analysis, Runge's theorem (also known as Runge's approximation theorem) is named after the German mathematician Carl Runge who first proved it in 1885. It states the following: Denoting by C the set of complex numbers, let K be a closed subset of C ∪ { ∞ } {\displaystyle \mathbb {C} \cup \{\infty \}} and let f be a function which is holomorphic on an open set containing K. If A is a set containing at least one complex number from every connected component of C ∪ { ∞ } ∖ K {\displaystyle \mathbb {C} \cup \{\infty \}\setminus K} , then there exists a sequence ( r n ) n ∈ N {\displaystyle (r_{n})_{n\in \mathbb {N} }} of rational functions which converges uniformly to f on K and such that all the poles of the functions ( r n ) n ∈ N {\displaystyle (r_{n})_{n\in \mathbb {N} }} are in A. Note that not every complex number in A needs to be a pole of every rational function of the sequence ( r n ) n ∈ N {\displaystyle (r_{n})_{n\in \mathbb {N} }} . We merely know that for all members of ( r n ) n ∈ N {\displaystyle (r_{n})_{n\in \mathbb {N} }} that do have poles, those poles lie in A. One aspect that makes this theorem so powerful is that one can choose the set A arbitrarily. In other words, one can choose any complex numbers from the bounded connected components of C ∪ { ∞ } ∖ K {\displaystyle \mathbb {C} \cup \{\infty \}\setminus K} and the theorem guarantees the existence of a sequence of rational functions with poles only amongst those chosen numbers. For the special case in which K is a compact subset of C {\displaystyle \mathbb {C} } and C ∖ K {\displaystyle \mathbb {C} \setminus K} is a connected set one can pick A = { ∞ } {\displaystyle A=\{\infty \}} . Since rational functions with no poles except at infinity are simply polynomials, we get the following corollary: If K is a compact subset of C such that C\K is a connected set, and f is a holomorphic function on an open set containing K, then there exists a sequence of polynomials ( p n ) {\displaystyle (p_{n})} that approaches f uniformly on K.

Sketch of proof An elementary proof, inspired by Sarason (1998), proceeds as follows. There is a closed piecewise-linear contour Γ in the open set, containing K in its interior, such that all the chosen distinguished points are in its exterior. By Cauchy's integral formula

f ( w ) = 1 2 π i ∫ Γ f ( z ) d z z − w {\displaystyle f(w)={1 \over 2\pi i}\int _{\Gamma }{f(z)\,dz \over z-w}}

for w in K. Riemann approximating sums can be used to approximate the contour integral uniformly over K (there is a similar formula for the derivative). Each term in the sum is a scalar multiple of (z − w)−1 for some point z on the contour. This gives a uniform approximation by a rational function with poles on Γ. To modify this to an approximation with poles at specified points in each component of the complement of K, it is enough to check this for terms of the form (z − w)−1. If z0 is the point in the same component as z, take a path from z to z0. If two points are sufficiently close on the path, we may use the formula

… excerpt ends here. Continue reading the full article.

Illustrations

Runge's theorem: Given a holomorphic function f on the blue compact set and a point in each of the holes, one can approximate f as well as desired by rational functions having poles only at those three points.
Given a holomorphic function f on the blue compact set and a point in each of the holes, one can approximate f as well as desired by rational functions having poles only at those three points.

Worked examples

Example 1 — a first encounter with Runge's theorem

Start with the simplest possible case. Write down what Runge's theorem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Runge's theorem 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 Runge's theorem 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 Runge's theorem

In research
Runge's theorem appears in mathematics 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 Runge's theorem 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
Runge's theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Theorems in complex analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Runge's theorem 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 Runge's theorem in 20 minutes

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

Frequently asked questions

What is Runge's theorem in simple terms?

In complex analysis, Runge's theorem (also known as Runge's approximation theorem) is named after the German mathematician Carl Runge who first proved it in 1885. It states the following: Denoting by C the set of complex numbers, let K be a closed subset of C ∪ { ∞ } {\displaystyle \mathbb {C} \cup…

Why does Runge's theorem matter?

Because it connects several mathematics 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 Runge's theorem?

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 Runge's theorem.

Tags

  • Theorems in complex analysis

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