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Absolute Continuity of the Sign Measure 📂Measure Theory

Absolute Continuity of the Sign Measure

Definitions1

Given a signed measure ν\nu and a positive measure μ\mu on a measurable space (X,E)(X, \mathcal{E}), for all EEE \in \mathcal{E},

μ(E)=0    ν(E)=0 \mu (E) = 0 \implies \nu (E) = 0

then ν\nu is absolutely continuous with respect to μ\mu, denoted as νμ\nu \ll \mu.

Explanation

Absolute continuity

This is a generalization of absolute continuity for measures. Like measures that are absolutely continuous, the following equivalent condition holds.

νμ    ε>0,δ>0:EE,μ(E)<δ    ν(E)<ε \nu \ll \mu \\ \iff \forall \varepsilon > 0, \exists \delta > 0 : E \in \mathcal{E}, \mu ( E ) < \delta \implies |\nu (E)| < \varepsilon

Proof

Since νμ     νμ\nu \ll \mu\ \iff |\nu| \ll \mu and considering that ν(E)ν(E)| \nu (E)| \le |\nu| (E), it is sufficient to assume ν=\nu=ν| \nu| for the proof. The proof is complete because it holds for positive measures as discussed in here.

Similarly, as the variation ν|\nu|, ν+\nu^{+}, ν\nu^{-} of each signed measure ν\nu being mutually singular with the positive measure μ\mu was equivalent, so is being absolutely continuous.

Theorem 1

The following three conditions are equivalent.

  • (a) νμ\nu \ll \mu
  • (b) νμ| \nu | \ll \mu
  • (c) ν+μandνμ\nu^{+} \ll \mu \quad \text{and} \quad \nu^{-} \ll \mu

Proof

  • (a)     \implies (b)

    Let’s say that for EEE\in \mathcal{E}, μ(E)=0\mu (E)=0 holds. Because μ\mu is a positive measure, for all FEF\subset E, FEF \in \mathcal{E}, μ(F)=0\mu (F)=0 holds. Then, by assumption, the following holds.

    ν(F)=0,FE \nu (F) =0,\quad \forall F\subset E

    Hence, by the definition of a null set, EE is ν\nu-null. Since if EE is ν\nu-null then it is ν|\nu |-null, the following holds.

    ν(E)=0 | \nu| (E)=0

    Therefore, whenever μ(E)=0\mu (E)=0, ν(E)=0| \nu |(E)=0 holds, we obtain the following.

    νμ | \nu | \ll \mu

  • (b)     \implies (c)

    The method of proof is the same as above, so the specifics are omitted. Let’s say μ(E)=0\mu (E)=0. Then, EE is ν| \nu |-null. Then EE being ν+\nu^{+}null, ν\nu^{-}null implies ν+(E)=0=ν(E)\nu^{+} (E)=0=\nu^{-} (E). Thus, whenever μ(E)=0\mu (E)=0, ν+(E)=0=ν(E)\nu^{+} (E)=0=\nu^{-} (E) holds, we obtain the following.

    ν+μandνμ \nu^{+} \ll \mu \quad \text{and} \quad \nu^{-} \ll \mu

  • (c)     \implies (a)

    The method of proof is the same as above, so the specifics are omitted. Let’s say μ(E)=0\mu (E)=0. Then, EE being ν+\nu^{+}null, ν\nu^{-}null implies that it is ν\nu-null. Thus, whenever μ(E)=0\mu (E)=0, ν(E)=0\nu (E)=0 holds, we obtain the following.

    νμ \nu \ll \mu

Theorem 2

If νμ\nu \perp \muνμ\nu \perp \mu and νμ\nu \ll \mu, then ν=0\nu=0. In other words, ν\nu is a constant function 00.

Proof

Given EF=XE \cup F=X and EF=E \cap F=\varnothing, there exists a ν\nu-null EE and a μ\mu-null FF. Since FF is μ\mu-null and ν\nu is absolutely continuous with respect to μ\mu, μ(F)=ν(F)=0\mu (F)=\nu (F)=0 holds. Now, suppose AEA \in \mathcal{E}. Then, the following holds.

ν(A)=ν(AE)+ν(AF)=0+0=0,AE \nu (A) =\nu (A \cap E) + \nu (A\cap F)=0+0=0,\quad \forall A\in \mathcal{E}

Thus, ν\nu is the constant function 00.

See Also


  1. Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications (2nd Edition, 1999), p88-89 ↩︎