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Haar measure

Haar measure 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 Haar measure rather than just read about it. In short: In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups. This measure was introduced by Alfréd Haar in 1933, though its special case for Lie groups had been introduced by Adolf Hurwitz in 1897 under the name "invariant integral".

Haar measure — main illustration
Haar measure — illustration

Key takeaways

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

Reference excerpt

In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups. This measure was introduced by Alfréd Haar in 1933, though its special case for Lie groups had been introduced by Adolf Hurwitz in 1897 under the name "invariant integral". Haar measures are used in many parts of analysis, number theory, group theory, representation theory, statistics, probability theory, and ergodic theory.

Preliminaries Let ( G , ⋅ ) {\displaystyle (G,\cdot )} be a locally compact Hausdorff topological group. The σ {\displaystyle \sigma } -algebra generated by all open subsets of G {\displaystyle G} is called the Borel algebra. An element of the Borel algebra is called a Borel set. If g {\displaystyle g} is an element of G {\displaystyle G} and S {\displaystyle S} is a subset of G {\displaystyle G} , then we define the left and right translates of S {\displaystyle S} by g {\displaystyle g} as follows:

Left translate: g S = { g ⋅ s : s ∈ S } . {\displaystyle gS=\{g\cdot s\,:\,s\in S\}.}

Right translate: S g = { s ⋅ g : s ∈ S } . {\displaystyle Sg=\{s\cdot g\,:\,s\in S\}.}

Left and right translates map Borel sets onto Borel sets. A measure μ {\displaystyle \mu } on the Borel subsets of G {\displaystyle G} is called left-translation-invariant if for all Borel subsets S ⊆ G {\displaystyle S\subseteq G} and all g ∈ G {\displaystyle g\in G} one has

μ ( g S ) = μ ( S ) . {\displaystyle \mu (gS)=\mu (S).}

A measure μ {\displaystyle \mu } on the Borel subsets of G {\displaystyle G} is called right-translation-invariant if for all Borel subsets S ⊆ G {\displaystyle S\subseteq G} and all g ∈ G {\displaystyle g\in G} one has

μ ( S g ) = μ ( S ) . {\displaystyle \mu (Sg)=\mu (S).}

Haar's theorem There is, up to a positive multiplicative constant, a unique countably additive, nontrivial measure μ {\displaystyle \mu } on the Borel subsets of G {\displaystyle G} satisfying the following properties:

The measure μ {\displaystyle \mu } is left-translation-invariant: μ ( g S ) = μ ( S ) {\displaystyle \mu (gS)=\mu (S)} for every g ∈ G {\displaystyle g\in G} and all Borel sets S ⊆ G {\displaystyle S\subseteq G} . The measure μ {\displaystyle \mu } is finite on every compact set: μ ( K ) < ∞ {\displaystyle \mu (K)<\infty } for all compact K ⊆ G {\displaystyle K\subseteq G} . The measure μ {\displaystyle \mu } is outer regular on Borel sets S ⊆ G {\displaystyle S\subseteq G} : μ ( S ) = inf { μ ( U ) : S ⊆ U , U open } . {\displaystyle \mu (S)=\inf\{\mu (U):S\subseteq U,U{\text{ open}}\}.}

The measure μ {\displaystyle \mu } is inner regular on open sets U ⊆ G {\displaystyle U\subseteq G} : μ ( U ) = sup { μ ( K ) : K ⊆ U , K compact } . {\displaystyle \mu (U)=\sup\{\mu (K):K\subseteq U,K{\text{ compact}}\}.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Haar measure

Start with the simplest possible case. Write down what Haar measure 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 Haar measure 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 Haar measure 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 Haar measure

In research
Haar measure 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 Haar measure 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
Haar measure is common in secondary-school and first-year university syllabi. It links to neighbouring topics Harmonic analysis, Lie groups, Measures (measure theory), so understanding it makes those chapters shorter.
In everyday life
Look for Haar measure 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 Haar measure in 20 minutes

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

Frequently asked questions

What is Haar measure in simple terms?

In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups. This measure was introduced by Alfréd Haar in 1933, though its special case for Lie groups had been introduced…

Why does Haar measure 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 Haar measure?

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 Haar measure.

Tags

  • Harmonic analysis
  • Lie groups
  • Measures (measure theory)
  • Topological groups

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