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Saturday, June 15, 2013

2.11

Consider first the set: A = \lbrace x \hspace{0.25cm} | \hspace{0.25cm} f(x) < 0 \rbrace It's clear that: A = \bigcup_{n=1}^\infty \lbrace x \hspace{0.25cm} | \hspace{0.25cm} f(x) < - \frac{1}{n} \rbrace Assume to the contrary that m(A) > 0. We have: m(A) \leq \sum_{n=1}^\infty m(\lbrace x \hspace{0.25cm} | \hspace{0.25cm} f(x) < - \frac{1}{n} \rbrace) Since m(A) > 0, for at least one n, m(\lbrace x \hspace{0.25cm} | \hspace{0.25cm} f(x) < - \frac{1}{n} \rbrace) > 0. Call this set E. We have: \int_{E} f \leq \int_E -\frac{1}{n} = -\frac{1}{n} m(E) < 0 ...a contradiction. It's obvious that if you switch that conditions around such that for any measurable set S \subset \mathbb{R}^d, \int_S f \leq 0 that the same line of reasoning will result in f \leq 0 almost everywhere. Combining these conditions two conditions, i.e., for any measurable set S \subset \mathbb{R}^d, \int_S f = 0 will directly result in 0 \leq f \leq 0 almost everywhere. I.e. f = 0 almost everywhere.

3 comments:

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  2. I have this tiny problem which points out that A is not necessarily measurable?

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    1. f is integrable, hence measurable, hence A is measurable

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