While reading about the Lebesgue decomposition theorem I learned that we can decompose a measure (with respect to the Lebesgue measure I guess) $$\,\nu =\nu _{{{\mathrm {cont}}}}+\nu _{{{\mathrm {sing}}}}+\nu _{{{\mathrm {pp}}}}$$ where
- $ν_{cont}$ is the absolutely continuous part ($\nu_{cont}<<\lambda$)
- $ν_{sing}$ is the singular continuous part ("singular" meaning $\nu\perp\lambda$ and "continuous" meaning $\mu\{x\}=0$ for any $x\in\mathbb{R}^d$ (I am not sure about this one))
- $ν_{pp}$ is the pure point part (a discrete measure) (meaning $\nu_{pp}=\sum\limits_{i=1}^{\infty}\delta_{x_i}$)
An example of singular continuous measure is the Cantor measure (the probability measure on the real line whose cumulative distribution function is the Cantor function).
As I understand, singular continuous measures are pathological and I was wondering what condition we could impose on the original measure in order not to have any singular continuous terms in the decomposition. I think that asking that the original measure is Radon is not enough right?
PS : A relevant discussion here