Prove: Absolute Continuity Let f in AC[0,1] Monotonic

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Homework Help Overview

The discussion revolves around proving a property of absolutely continuous functions, specifically that if a function \( f \) is absolutely continuous on the interval \([0,1]\) and is monotonic, then the image of a set of measure zero under \( f \) also has measure zero.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are discussing definitions related to absolute continuity, Lebesgue measure, and subsets of measure zero. Some are exploring the implications of absolute continuity and suggesting starting with simpler cases, such as Lipschitz continuity, to understand the preservation of measure zero.

Discussion Status

The discussion is active with participants seeking clarification on terminology and definitions. There are suggestions for approaches to tackle the problem, including starting with simpler cases. No consensus has been reached yet, and multiple lines of reasoning are being explored.

Contextual Notes

There is a mention of the need for definitions of terms like AC, E, and m, indicating that some participants may not be familiar with the concepts being discussed. The problem is framed within the context of absolute continuity and measure theory.

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Let f in AC[0,1] monotonic,Prove that if m(E)=0 then m(f(E))=0
 
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What are AC, E, and m? Why wouldn't you bother to define these?
 
Definitions

Let f in AC[0,1] monotonic,Prove that if m(E)=0 then m(f(E))=0

ie, f is absolutely continuous in [0,1], m denotes the Lebesque measure and E is a subset of [0,1] with meausre 0.
 
Have you tried anything? For every \epsilon > 0, there exists a countable collection of pairwise disjoint open intervals \mathcal{C} such that

E \subseteq \bigcup _{U \in \mathcal{C}} U

and

\sum _{U \in \mathcal{C}} \mbox{vol}(U) < \epsilon

Absolute Continuity
 
Last edited:
first try an easier case: let f be lipschitz continuous, i.e. assume there is a constant K such that |f(x)-f(y)| < K|x-y| for all x,y, in domain f.

then prove f preserves measure zero.
 

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