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Measure of non-compactness

Measure of non-compactness 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 Measure of non-compactness rather than just read about it. In short: In functional analysis, two measures of non-compactness are commonly used; these associate numbers to sets in such a way that compact sets all get the measure 0, and other sets get measures that are bigger according to "how far" they are removed from compactness. The underlying idea is the following: a bounded set can be covered by a single ball of some radius.

Key takeaways

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

Reference excerpt

In functional analysis, two measures of non-compactness are commonly used; these associate numbers to sets in such a way that compact sets all get the measure 0, and other sets get measures that are bigger according to "how far" they are removed from compactness. The underlying idea is the following: a bounded set can be covered by a single ball of some radius. Sometimes several balls of a smaller radius can also cover the set. A compact set in fact can be covered by finitely many balls of arbitrary small radius, because it is totally bounded. So one could ask: what is the smallest radius that allows to cover the set with finitely many balls? Formally, we start with a metric space M and a subset X. The ball measure of non-compactness is defined as

α(X) = inf {r > 0 : there exist finitely many balls of radius r which cover X} and the Kuratowski measure of non-compactness is defined as

β(X) = inf {d > 0 : there exist finitely many sets of diameter at most d which cover X} Since a ball of radius r has diameter at most 2r, we have α(X) ≤ β(X) ≤ 2α(X). The two measures α and β share many properties, and we will use γ in the sequel to denote either one of them. Here is a collection of facts:

X is bounded if and only if γ(X) < ∞. γ(X) = γ(Xcl), where Xcl denotes the closure of X. If X is compact, then γ(X) = 0. Conversely, if γ(X) = 0 and X is complete, then X is compact. γ(X ∪ Y) = max(γ(X), γ(Y)) for any two subsets X and Y. γ is continuous with respect to the Hausdorff distance of sets. Measures of non-compactness are most commonly used if M is a normed vector space. In this case, we have in addition:

γ(aX) = |a| γ(X) for any scalar a γ(X + Y) ≤ γ(X) + γ(Y) γ(conv(X)) = γ(X), where conv(X) denotes the convex hull of X Note that these measures of non-compactness are useless for subsets of Euclidean space Rn: by the Heine–Borel theorem, every bounded closed set is compact there, which means that γ(X) = 0 or ∞ according to whether X is bounded or not. Measures of non-compactness are however useful in the study of infinite-dimensional Banach spaces, for example. In this context, one can prove that any ball B of radius r has α(B) = r and β(B) = 2r.

See also Kuratowski's intersection theorem

References Józef Banaś, Kazimierz Goebel: Measures of noncompactness in Banach spaces, Institute of Mathematics, Polish Academy of Sciences, Warszawa 1979 Kazimierz Kuratowski: Topologie Vol I, PWN. Warszawa 1958 R.R. Akhmerov, M.I. Kamenskii, A.S. Potapova, A.E. Rodkina and B.N. Sadovskii, Measure of Noncompactness and Condensing Operators, Birkhäuser, Basel 1992

Worked examples

Example 1 — a first encounter with Measure of non-compactness

Start with the simplest possible case. Write down what Measure of non-compactness 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 Measure of non-compactness 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 Measure of non-compactness 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 Measure of non-compactness

In research
Measure of non-compactness 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 Measure of non-compactness 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
Measure of non-compactness is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functional analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Measure of non-compactness 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 Measure of non-compactness in 20 minutes

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

Frequently asked questions

What is Measure of non-compactness in simple terms?

In functional analysis, two measures of non-compactness are commonly used; these associate numbers to sets in such a way that compact sets all get the measure 0, and other sets get measures that are bigger according to "how far" they are removed from compactness. The underlying idea is the followin…

Why does Measure of non-compactness 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 Measure of non-compactness?

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 Measure of non-compactness.

Tags

  • Functional analysis

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