Signed Measures and Radon-Nikodym - Core Definitions
Signed measures generalize ordinary measures by allowing negative values, providing a framework for understanding differences of measures and integration with respect to such differences.
A signed measure on a measurable space is a function such that:
- takes at most one of the values
- For any countable collection of pairwise disjoint sets in :
where the series converges absolutely if is finite.
The condition that cannot take both and ensures that sums like never arise.
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Difference of measures: If and are finite measures on , then is a signed measure.
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Integration: For an integrable function , define:
Then is a signed measure. If changes sign, so does .
- Charge distribution: In physics, a charge distribution can be positive (positive charges) or negative (negative charges), naturally giving rise to a signed measure.
Let and be signed measures on . We say is absolutely continuous with respect to , written , if: for all .
Intuitively, is absolutely continuous with respect to if assigns zero measure to any set that considers negligible.
Two signed measures and are mutually singular, written , if there exist disjoint sets with such that:
- (i.e., is concentrated on )
- (i.e., is concentrated on )
Here denotes the total variation of (defined below).
Key observations:
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Every ordinary measure is a signed measure: Non-negative measures are special cases where never takes negative values.
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Signed measures form a vector space: If and are signed measures and , then is a signed measure (with appropriate finiteness conditions).
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Integration with respect to signed measures: One can integrate with respect to by decomposing it into positive and negative parts.