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L-infinity

L-infinity 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 L-infinity rather than just read about it. In short: In mathematics, ℓ ∞ {\displaystyle \ell ^{\infty }} , the (real or complex) vector space of bounded sequences with the supremum norm, and L ∞ = L ∞ ( X , Σ , μ ) {\displaystyle L^{\infty }=L^{\infty }(X,\Sigma ,\mu )} , the vector space of essentially bounded measurable functions with the essential supremum norm, are two closely related Banach spaces. In fact the former is a special case of the latter.

Key takeaways

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

Reference excerpt

In mathematics, ℓ ∞ {\displaystyle \ell ^{\infty }} , the (real or complex) vector space of bounded sequences with the supremum norm, and L ∞ = L ∞ ( X , Σ , μ ) {\displaystyle L^{\infty }=L^{\infty }(X,\Sigma ,\mu )} , the vector space of essentially bounded measurable functions with the essential supremum norm, are two closely related Banach spaces. In fact the former is a special case of the latter. As a Banach space they are, respectively, the continuous dual of the Banach spaces ℓ 1 {\displaystyle \ell _{1}} of absolutely summable sequences, and L 1 = L 1 ( X , Σ , μ ) {\displaystyle L^{1}=L^{1}(X,\Sigma ,\mu )} of absolutely integrable measurable functions (if the measure space fulfills the conditions of being localizable and therefore semifinite). Pointwise multiplication gives them the structure of a Banach algebra, and in fact they are the standard examples of abelian Von Neumann algebras.

Sequence space The vector space ℓ ∞ {\displaystyle \ell ^{\infty }} is a sequence space whose elements are the bounded sequences. The vector space operations, addition and scalar multiplication, are applied coordinate by coordinate. With respect to the norm

‖ x ‖ ∞ = sup n | x n | {\displaystyle \|x\|_{\infty }=\sup _{n}|x_{n}|}

ℓ ∞ {\displaystyle \ell ^{\infty }} is a standard example of a Banach space. In fact, ℓ ∞ {\displaystyle \ell ^{\infty }} can be considered as the ℓ p {\displaystyle \ell ^{p}} space with the largest p {\displaystyle p} . This space is the strong dual space of ℓ 1 {\displaystyle \ell ^{1}} : indeed, every x ∈ ℓ ∞ {\displaystyle x\in \ell ^{\infty }} defines a continuous functional on the space ℓ 1 {\displaystyle \ell ^{1}} of absolutely summable sequences by component-wise multiplication and summing:

ℓ ∞ → ( ℓ 1 ) ′ {\displaystyle {\begin{aligned}\ell ^{\infty }&\to ({\ell ^{1}})'\end{aligned}}}

via

x ↦ ( y ↦ ∑ i = 1 ∞ x i y i ) {\displaystyle {\begin{aligned}x&\mapsto \left(y\mapsto \sum _{i=1}^{\infty }x_{i}y_{i}\right)\end{aligned}}}

By evaluating on ( 0 , … , 0 , 1 , 0 , … ) {\displaystyle (0,\ldots ,0,1,0,\ldots )} we see that every continuous linear functional on ℓ 1 {\displaystyle \ell ^{1}} arises in this way. i.e.

( ℓ 1 ) ′ = ℓ ∞ {\displaystyle ({\ell ^{1}})'=\ell ^{\infty }}

However, not every continuous linear functional on ℓ ∞ {\displaystyle \ell ^{\infty }} arises from an absolutely summable series in ℓ 1 , {\displaystyle \ell ^{1},} and hence ℓ ∞ {\displaystyle \ell ^{\infty }} is not a reflexive Banach space.

Function space

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with L-infinity

Start with the simplest possible case. Write down what L-infinity 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 L-infinity 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 L-infinity 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 L-infinity

In research
L-infinity 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 L-infinity 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
L-infinity is common in secondary-school and first-year university syllabi. It links to neighbouring topics Banach spaces, Function spaces, Lp spaces, so understanding it makes those chapters shorter.
In everyday life
Look for L-infinity 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 L-infinity in 20 minutes

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

Frequently asked questions

What is L-infinity in simple terms?

In mathematics, ℓ ∞ {\displaystyle \ell ^{\infty }} , the (real or complex) vector space of bounded sequences with the supremum norm, and L ∞ = L ∞ ( X , Σ , μ ) {\displaystyle L^{\infty }=L^{\infty }(X,\Sigma ,\mu )} , the vector space of essentially bounded measurable functions with the essential…

Why does L-infinity 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 L-infinity?

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 L-infinity.

Tags

  • Banach spaces
  • Function spaces
  • Lp spaces
  • Normed spaces

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