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Wiener's Tauberian theorem

Wiener's Tauberian 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 Wiener's Tauberian theorem rather than just read about it. In short: In mathematical analysis, Wiener's Tauberian theorem is any of several related results proved by Norbert Wiener in 1932. They provide a necessary and sufficient condition under which any function in L 1 {\displaystyle L^{1}} or L 2 {\displaystyle L^{2}} can be approximated by linear combinations of translations of a given function.

Key takeaways

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

Reference excerpt

In mathematical analysis, Wiener's Tauberian theorem is any of several related results proved by Norbert Wiener in 1932. They provide a necessary and sufficient condition under which any function in L 1 {\displaystyle L^{1}} or L 2 {\displaystyle L^{2}} can be approximated by linear combinations of translations of a given function. Informally, if the Fourier transform of a function f {\displaystyle f} vanishes on a certain set Z {\displaystyle Z} , the Fourier transform of any linear combination of translations of f {\displaystyle f} also vanishes on Z {\displaystyle Z} . Therefore, the linear combinations of translations of f {\displaystyle f} cannot approximate a function whose Fourier transform does not vanish on Z {\displaystyle Z} . Wiener's theorems make this precise, stating that linear combinations of translations of f {\displaystyle f} are dense if and only if the zero set of the Fourier transform of f {\displaystyle f} is empty (in the case of L 1 {\displaystyle L^{1}} ) or of Lebesgue measure zero (in the case of L 2 {\displaystyle L^{2}} ). Gelfand reformulated Wiener's theorem in terms of commutative C*-algebras, when it states that the spectrum of the L 1 {\displaystyle L^{1}} group ring

L 1 ( R ) {\displaystyle L^{1}(\mathbb {R} )} of the group R {\displaystyle \mathbb {R} } of real numbers is the dual group of R {\displaystyle \mathbb {R} } . A similar result is true when

R {\displaystyle \mathbb {R} } is replaced by any locally compact abelian group.

Introduction A typical Tauberian theorem is the following result, for f ∈ L 1 ( 0 , ∞ ) {\displaystyle f\in L^{1}(0,\infty )} . If:

f ( x ) = O ( 1 ) {\displaystyle f(x)=O(1)} as x → ∞ {\displaystyle x\to \infty }

1 x ∫ 0 ∞ e − t / x f ( t ) d t → L {\displaystyle {\frac {1}{x}}\int _{0}^{\infty }e^{-t/x}f(t)\,dt\to L} as x → ∞ {\displaystyle x\to \infty } , then

1 x ∫ 0 x f ( t ) d t → L . {\displaystyle {\frac {1}{x}}\int _{0}^{x}f(t)\,dt\to L.}

Generalizing, let G ( t ) {\displaystyle G(t)} be a given function, and P G ( f ) {\displaystyle P_{G}(f)} be the proposition

1 x ∫ 0 ∞ G ( t / x ) f ( t ) d t → L . {\displaystyle {\frac {1}{x}}\int _{0}^{\infty }G(t/x)f(t)\,dt\to L.}

Note that one of the hypotheses and the conclusion of the Tauberian theorem has the form P G ( f ) {\displaystyle P_{G}(f)} , respectively, with G ( t ) = e − t {\displaystyle G(t)=e^{-t}} and G ( t ) = 1 [ 0 , 1 ] ( t ) . {\displaystyle G(t)=1_{[0,1]}(t).}

The second hypothesis is a "Tauberian condition". Wiener's Tauberian theorems have the following structure:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Wiener's Tauberian theorem

Start with the simplest possible case. Write down what Wiener's Tauberian 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 Wiener's Tauberian 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 Wiener's Tauberian 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 Wiener's Tauberian theorem

In research
Wiener's Tauberian 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 Wiener's Tauberian 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
Wiener's Tauberian theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Harmonic analysis, Real analysis, Tauberian theorems, so understanding it makes those chapters shorter.
In everyday life
Look for Wiener's Tauberian 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 Wiener's Tauberian theorem in 20 minutes

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

Frequently asked questions

What is Wiener's Tauberian theorem in simple terms?

In mathematical analysis, Wiener's Tauberian theorem is any of several related results proved by Norbert Wiener in 1932. They provide a necessary and sufficient condition under which any function in L 1 {\displaystyle L^{1}} or L 2 {\displaystyle L^{2}} can be approximated by linear combinations of…

Why does Wiener's Tauberian 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 Wiener's Tauberian 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 Wiener's Tauberian theorem.

Tags

  • Harmonic analysis
  • Real analysis
  • Tauberian theorems

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