Essential range

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Template:Short description In mathematics, particularly measure theory, the essential range, or the set of essential values, of a function is intuitively the 'non-negligible' range of the function: It does not change between two functions that are equal almost everywhere. One way of thinking of the essential range of a function is the set on which the range of the function is 'concentrated'.

Formal definition

Let (X,𝒜,μ) be a measure space, and let (Y,𝒯) be a topological space. For any (𝒜,σ(𝒯))-measurable function f:X→Y, we say the essential range of f to mean the set

ess.im⁡(f)={y∈Y∣0<μ(f−1(U)) for all U∈𝒯 with y∈U}.[1]Template:Rp[2][3]

Equivalently, ess.im⁡(f)=supp⁡(f∗μ), where f∗μ is the pushforward measure onto σ(𝒯) of μ under f and supp⁡(f∗μ) denotes the support of f∗μ.[4]

Essential values

The phrase "essential value of f" is sometimes used to mean an element of the essential range of f.[5]Template:Rp[6]Template:Rp

Special cases of common interest

Y = C

Say (Y,𝒯) is ℂ equipped with its usual topology. Then the essential range of f is given by

ess.im⁡(f)={z∈ℂ∣for all ε∈ℝ>0:0<μ{x∈X:|f(x)−z|<ε}}.[7]Template:Rp[8][9]Template:Rp[10]Template:Rp[11]Template:Rp

In other words: The essential range of a complex-valued function is the set of all complex numbers z such that the inverse image of each ε-neighbourhood of z under f has positive measure.

(Y,T) is discrete

Say (Y,𝒯) is discrete, i.e., 𝒯=𝒫(Y) is the power set of Y, i.e., the discrete topology on Y. Then the essential range of f is the set of values y in Y with strictly positive f∗μ-measure:

ess.im⁡(f)={y∈Y:0<μ(fpre{y})}={y∈Y:0<(f∗μ){y}}.[12]Template:Rp[13][14]

Properties

  • The essential range of a measurable function, being the support of a measure, is always closed.
  • The essential range ess.im(f) of a measurable function is always a subset of im⁡(f)‾.
  • The essential image cannot be used to distinguish functions that are almost everywhere equal: If f=g holds μ-almost everywhere, then ess.im⁡(f)=ess.im⁡(g).
  • These two facts characterise the essential image: It is the biggest set contained in the closures of im⁡(g) for all g that are a.e. equal to f:
ess.im⁡(f)=⋂f=ga.e.im⁡(g)‾.
  • The essential range satisfies ∀A⊆X:f(A)∩ess.im⁡(f)=∅⟹μ(A)=0.
  • This fact characterises the essential image: It is the smallest closed subset of ℂ with this property.
  • The essential supremum of a real valued function equals the supremum of its essential image and the essential infimum equals the infimum of its essential range. Consequently, a function is essentially bounded if and only if its essential range is bounded.
  • The essential range of an essentially bounded function f is equal to the spectrum σ(f) where f is considered as an element of the C*-algebra L∞(μ).

Examples

  • If μ is the zero measure, then the essential image of all measurable functions is empty.
  • This also illustrates that even though the essential range of a function is a subset of the closure of the range of that function, equality of the two sets need not hold.
  • If X⊆ℝn is open, f:X→ℂ continuous and μ the Lebesgue measure, then ess.im⁡(f)=im⁡(f)‾ holds. This holds more generally for all Borel measures that assign non-zero measure to every non-empty open set.

Extension

The notion of essential range can be extended to the case of f:X→Y, where Y is a separable metric space. If X and Y are differentiable manifolds of the same dimension, if f∈ VMO(X,Y) and if ess.im⁡(f)≠Y, then deg⁡f=0.[15]

See also

References

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Template:Measure theory