Simultaneous continuous approximation for finitely many measures #
Let α be a normal topological space with its Borel σ-algebra, for instance a compact Hausdorff
space, and let μ i be finitely many weakly regular measures on α. A function f : α → E
with values in a real normed space that is integrable for every μ i is approximated in
L¹(μ i), simultaneously for all i, by a single continuous function g: approximate f in
L¹ of the sum measure ∑ i, μ i, which is again weakly regular, and use monotonicity of the
integral in the measure.
If the measures are finite and ‖f x‖ ≤ M everywhere, the approximant can be chosen with the
same bound. Composing g with the radial retraction onto the closed ball of radius M keeps it
continuous, does not move the values of f, and at most doubles the distance from them, so it
costs only a factor of two in each L¹ error. A sequence of such approximants then has L¹
errors tending to zero for every μ i.
This is the approximation step that extends a representation of the continuous functions on a compact Hausdorff space to bounded Borel functions: the scalar measures of the representation are finitely many finite regular measures at a time, and the uniform bound keeps the approximating operators bounded.
Main results #
MeasureTheory.exists_continuous_forall_integral_norm_sub_le: an integrable function is approximated inL¹(μ i)for alliat once by one continuous function.MeasureTheory.exists_continuous_norm_le_forall_integral_norm_sub_le: a function bounded byMis approximated in this way by a continuous function bounded byM.MeasureTheory.exists_seq_continuous_norm_le_tendsto_integral_norm_sub: a sequence of continuous functions bounded byMwhoseL¹(μ i)distances toftend to zero for alli.TauCeti.BoundedBorelFunction.eq_of_forall_ofContinuousMap_eq: on a compact normal space, two maps on bounded Borel symbols that are Lipschitz forL¹distances against finite weakly regular measures and agree on continuous symbols are equal.
Provenance #
The sum-measure argument for a finite family is adapted from
ForTauCeti/Analysis/InnerProductSpace/BorelCalculus/Polarization.lean in the Kitware DKPS
formalization.
References #
- W. Rudin, Real and Complex Analysis, 3rd ed., McGraw–Hill (1987), Theorem 3.14 (density of
continuous functions in
L^p) and Lusin's theorem 2.24 (radial truncation of approximants).
Simultaneous continuous approximation in L¹. On a normal Borel space, a function that is
integrable for each of finitely many weakly regular measures μ i is approximated in
L¹(μ i), for all i at once, by a single continuous function integrable for every μ i.
Simultaneous bounded continuous approximation in L¹. On a normal Borel space, a
function bounded by M and almost everywhere strongly measurable for each of finitely many finite
weakly regular measures μ i is approximated in L¹(μ i), for all i at once, by a single
continuous function that is also bounded by M and integrable for every μ i.
Bounded continuous approximating sequences. On a normal Borel space, a function bounded by
M and almost everywhere strongly measurable for each of finitely many finite weakly regular
measures μ i is the limit in L¹(μ i), for all i at once, of a sequence of continuous
functions bounded by M and integrable for every μ i.
Extension from continuous symbols. Let ν₁ and ν₂ be finite weakly regular measures on a
compact normal Borel space. If Φ is Lipschitz for the L¹(ν₁) distance of bounded Borel
symbols, Ψ is Lipschitz for the L¹(ν₂) distance, and Φ and Ψ agree on continuous symbols,
then they agree on every bounded Borel symbol: continuous symbols bounded by ‖f‖ approximate f
in L¹(ν₁) and L¹(ν₂) at once.