and are crucial concepts in harmonic analysis on groups. They provide a way to measure sets and integrate functions that respects the group structure. This allows us to extend familiar notions from calculus to more abstract settings.
The Haar measure is unique up to a constant and has important properties like and local finiteness. Invariant integration, based on the Haar measure, preserves the group's symmetry. These tools are fundamental for studying harmonic functions on groups.
Haar Measure and Invariance
Definition and Properties of Haar Measure
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Haar measure is a non-zero, left-invariant, countably additive measure defined on a locally compact group
Unique up to a positive multiplicative constant, meaning any two Haar measures on a group differ only by a positive scalar factor
Haar measure is regular, which means that the measure of any set can be approximated from above by open sets and from below by compact sets
Haar measure is not necessarily finite, but it is always locally finite (every point has a neighborhood with finite measure)
Left and Right Invariance
Left-invariant measure satisfies μ(gE)=μ(E) for all measurable sets E and group elements g, where gE={gx:x∈E}
Right-invariant measure satisfies μ(Eg)=μ(E) for all measurable sets E and group elements g, where Eg={xg:x∈E}
On a locally compact abelian group, the left and right Haar measures coincide, making the Haar measure both left and right-invariant
For non-abelian groups, left and right Haar measures may differ, but they are always equivalent (mutually absolutely continuous)
Invariant Integration
Invariant integration is the process of integrating functions with respect to a Haar measure
For a left-invariant Haar measure μ and a function f, the left-invariant integral is defined as ∫f(x)dμ(x)
Left-invariant integrals satisfy the property ∫f(gx)dμ(x)=∫f(x)dμ(x) for all group elements g
Right-invariant integrals can be defined similarly and satisfy the corresponding invariance property ∫f(xg)dμ(x)=∫f(x)dμ(x)
Modular Function and Unimodularity
Modular Function
The Δ of a locally compact group G is a homomorphism from G to the multiplicative group of positive real numbers, defined by the relation μ(Eg)=Δ(g)μ(E) for all measurable sets E and group elements g
Measures the discrepancy between left and right Haar measures, as the μL and the μR are related by μR(E)=Δ(g−1)μL(E)
The modular function is continuous and satisfies the cocycle condition Δ(gh)=Δ(g)Δ(h) for all group elements g and h
Examples of groups with non-trivial modular functions include the affine group of the real line and the group of invertible upper triangular matrices
Unimodular Groups
A locally compact group is called unimodular if its modular function is identically equal to 1, meaning that the left and right Haar measures coincide
, abelian groups, and discrete groups are always unimodular
Examples of include the real numbers under addition, the circle group, and the group of invertible matrices with determinant 1 (special linear group)
Many important results in harmonic analysis and representation theory simplify for unimodular groups due to the symmetry between left and right invariance
Representation Theorem
Riesz Representation Theorem
The establishes a correspondence between positive linear functionals on the space of continuous functions with compact support and Radon measures
Specifically, for a locally compact Hausdorff space X, every positive linear functional Λ on the space Cc(X) of continuous functions with compact support can be uniquely represented as integration against a Radon measure μ, i.e., Λ(f)=∫fdμ for all f∈Cc(X)
The representing measure μ is uniquely determined by the functional Λ and is called the Riesz representer of Λ
The Riesz representation theorem is a key tool in the construction and study of Haar measures, as it allows one to define a Haar measure by specifying a suitable invariant positive linear functional
Applications of the Riesz representation theorem extend beyond harmonic analysis to areas such as probability theory, where it is used to characterize expectation functionals, and functional analysis, where it relates linear functionals to measures