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Quiz: Countably additive measures
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last edited
by RH 15 years, 4 months ago
This quiz is designed to test your knowledge of countably additive measures on a sigma-algebra and related concepts.
Unless otherwise indicated, is a measure space.
Discuss this quiz
(Key: correct, incorrect, partially correct.)
- If is a sequence of measurable sets in such that goes to zero, and is a measurable function, what are the most general conditions under which one can assume the integral of on also goes to zero?
- One needs to be bounded.
- CORRECT. This is sufficient, but is rather strong.
- One needs to be non-negative.
- One needs to be absolutely integrable.
- One needs the to be nested and decreasing.
- INCORRECT. This is not enough, even with monotone convergence, unless is already absolutely integrable.
- One needs to be a simple function.
- INCORRECT. This is sufficient, but is far too strong.
- One needs to be continuous.
- INCORRECT. This is insufficient, if is unbounded.
- One needs to be locally integrable.
- INCORRECT. This is insufficient, if is unbounded.
- If and are non-negative measures, what does it mean for and to be mutually singular?
- Given any measurable set , at most one of and is non-zero.
- INCORRECT. This can easily fail for most pairs of mutually singular measures.
- Given any measurable set , exactly one of and is non-zero.
- INCORRECT. This can easily fail for most pairs of mutually singular measures.
- Every measurable set can be decomposed as where and .
- INCORRECT. This is a consequence of mutual singularity, but does not quite imply it.
- Given any measurable set , at most one of and is finite.
- There exists disjoint measurable sets and such that for all measurable .
- Every set which is null in is non-null in , and vice versa.
- There does not exist a set which is null in and simultaneously.
- If is a signed measure, how does one define the unsigned measure ?
- is equal to the positive variation of mu plus the negative variation of mu.
- is equal to if is positive and if is negative.
- INCORRECT. Most signed measures are neither positive nor negative, but need to be decomposed into components.
- is the measure which gives each set a measure of .
- is the measure with density with respect to Lebesgue measure .
- PARTIALLY. This is only true when is absolutely continuous with respect to Lebesgue measure.
- is the positive variation of .
- is the difference of the positive and negative variations of .
- is infinity if is an infinite measure, and is equal to when is a finite measure.
- INCORRECT. Measures are not numbers.
- Let be an absolutely integrable complex-valued function with respect to a measure of . What is the most precise relationship between the integral of and the integral of ?
- The integral of has magnitude less than or equal to the integral of .
- The magnitude of the integral of is equal to the integral of .
- The integral of has magnitude greater than or equal to the integral of .
- The real and imaginary parts of the integral of are less than the integral of .
- INCORRECT. This is true but is not the most precise statement one can make.
- The sum of squares of the real and imaginary parts of the integral of add up to the square of the integral of .
- Nothing can be said unless has a fixed sign or phase.
- The integral of is strictly smaller in magnitude than the integral of .
- The integral of lies between the integral of and the negative integral of .
- INCORRECT. This does not make sense since the integral of is complex.
- What does it mean for a signed measure to be supported on a measurable set ?
- whenever is disjoint from and measurable.
- .
- .
- PARTIALLY. This would only be correct if mu was unsigned.
- is the smallest set such that .
- is the largest set such that is non-zero.
- is non-zero.
- is non-zero whenever is contained in and measurable.
- Let be a Lebesgue measurable subset of the real line. Which of the following statements is true?
- If is bounded, then it has finite Lebesgue measure.
- If has finite Lebesgue measure, then it is bounded.
- If is bounded, then it is finite.
- If is unbounded, then it has infinite Lebesgue measure.
- If has zero measure, then it is bounded.
- If is uncountable, it has non-zero measure.
- If is uncountable, then it is unbounded.
- The support of a finite measure is
- The largest set which does not contain null sets.
- The smallest set whose complement is null.
- The smallest set whose complement is totally null.
- Not unique; a measure can have more than one support.
- The union of all the sets of positive measure.
- The intersection of all the sets of positive measure.
- The intersection of all the sets of full measure.
- Let be an unsigned measure, and be a signed measure. Which of the following statements is true?
- If , then is absolutely continuous with respect to .
- If , then is absolutely continuous with respect to nu.
- If , then is absolutely continuous with respect to .
- If is absolutely continuous with respect to . then .
- If is absolutely continuous with respect to , then .
- If , then is absolutely continuous with respect to .
- If is absolutely continuous with respect to , then we have for some constant .
- Let be an unsigned measure, and be a signed measure. What does it mean for nu to be absolutely continuous with respect to ?
- Every point has a -measure of zero.
- INCORRECT. This is what it means for to be continuous, not absolutely continuous.
- The Radon-Nikodym derivative is a continuous function.
- The Radon-Nikodym derivative is a continuous function almost everywhere.
- Every set which has a -measure of zero also has a -measure of zero.
- Every set which has a -measure of zero also has a -measure of zero.
- For any measurable set , .
- is supported on a set of positive -measure.
- is not absolutely singular with respect to .
Score:
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Quiz: Countably additive measures
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