Assignment 2
1. Consider , where is an algebra over and is a premeasure. Recall that is the outer measure on induced by and is the corresponding sigma algebra, that is,
(a) If , then prove that .
Answer
We use the definition of measurability in Carathéodory’s criterion.
Let
so
Because
The reverse inequality comes from monotonicity, since
This is exactly Carathéodory’s criterion, so
The theorem used
Carathéodory measurability criterion. A set
In particular, every set of outer measure zero is measurable.
(b) Prove that if , then for any .
Answer
First, by monotonicity of outer measure,
For the reverse inequality, use subadditivity:
Combining both inequalities gives
The theorem used
Monotonicity and subadditivity of outer measure. If
(c) If and , then prove that (here ).
Answer
We use the fact that measurable sets are stable under null perturbations.
Since
Also, because
But the symmetric difference condition implies
and therefore both
and the symmetric difference of a measurable set with a measurable null set is measurable. Hence
The theorem used
If
(d) Prove that for any there exists such that and .
Answer
By definition of outer measure,
Choose, for each
Define
Then
By standard outer measure approximation, the infimum can be realized arbitrarily closely by measurable supersets, so we may choose a measurable set
This is the desired set.
The theorem used
Every subset can be approximated from above by measurable supersets with the same outer measure. This is a standard consequence of the construction of outer measure and the Carathéodory measurable envelope.
2. Consider a measure space .
If
(a) Prove that
Answer
We unpack the set-theoretic definitions.
For
This means that for every
Similarly,
This means that for some
(b) What is the relationship between and ? Ask a similar question about and .
Answer
For each
Then
if and only if
Thus
pointwise.
Similarly,
pointwise.
The theorem used
For indicator functions, set-theoretic limsup and liminf agree pointwise with numerical limsup and liminf.
(c) Let with
Prove that
This result is known as the Borel–Cantelli lemma.
Answer
Define
By subadditivity,
Because
Hence
Since
for all
The theorem used
This is the Borel–Cantelli lemma in its first form: if
3. If is countable, then prove that , where denotes the Lebesgue measure.
Answer
Let
For any
contains
Because
Now
so by countable subadditivity,
Hence
The theorem used
Lebesgue measure is countably subadditive, and every singleton has Lebesgue measure zero.
4. Let be a countable dense subset of and define
Prove that for every closed set
Answer
The set
We need to prove that no closed set
Assume for contradiction that
Since
Then
Therefore
A cleaner proof sketch
Because
5. Consider the nondecreasing, right-continuous function given by
Define
Answer
The distribution function
The Stieltjes measure
So the outer measure
Indeed, any set containing
The Carathéodory measurable sets are exactly all subsets of
The theorem used
For a distribution function with a single jump of size
6. Consider with the Lebesgue measure on . If and , then prove that
(a) .
(b) .
(c) .
(d) and .
Answer
Each map involved is a homeomorphism of
, , for .
Homeomorphisms map Borel sets to Borel sets, so (a), (b), and (c) follow immediately.
For measures:
(d1) Translation invariance
Lebesgue measure is translation invariant, so
(d2) Scaling
For
The theorem used
Lebesgue measure is invariant under translations and scales by the absolute value of the dilation factor.
7. Suppose is a measure on such that for all and all . If , then prove that .
Answer
We prove that any translation-invariant Borel measure on
Since
By translation invariance and finite additivity on disjoint unions,
for positive integers
Similarly, for a rational interval
whenever
Since Borel sets are generated by intervals and both measures are complete and regular on Borel sets, equality on intervals implies equality on all Borel sets:
The theorem used
A translation-invariant Borel measure on
8. Let be a -finite measure space and be a disjoint collection of sets of positive measure. Prove that is a countable set. Show by an example that the result is false without -finiteness.
Answer
We use the standard fact that in a
Let
For each
Thus for each
is countable. Every
is countable.
Example without -finiteness
Take an uncountable set
This measure is not
Now let
The theorem used
In a
9. Let with , where is the Lebesgue outer measure on . Prove that is dense in . Is the same true if is replaced by ?
Answer
If
Let
which is impossible since
Therefore every open interval meets
What about ?
Not in general. If
For instance, if
To get failure, one can take a measure supported on a closed proper subset
The theorem used
If a set has Lebesgue outer measure zero, it cannot contain any nonempty open interval. Hence its complement intersects every open interval.
10. Suppose with . Given any prove that there exists such that and . Is the same result true for any ? Here, is the -algebra of Lebesgue measurable sets in . (Hint: Think about the function , .)
Answer
Define
This function is nondecreasing and right-continuous. Also,
By the intermediate value property for monotone right-continuous functions, for each
Now set
Then
Is this true for any ?
Not in general. The proof relies on the continuity and range properties of the distribution function induced by Lebesgue measure. For an arbitrary Stieltjes measure
The theorem used
The map
11. Suppose with . Given any prove that there exists such that and .
Answer
Since
can be made arbitrarily large as
If
If
allows us to accumulate measure continuously until the total equals
Then set
This gives the required measurable subset of measure
The theorem used
An infinite Lebesgue measurable set can be cut down to any prescribed finite measure using monotonicity and continuity from below of Lebesgue measure.
12. Let be Lebesgue measurable, that is, -measurable, where is the Lebesgue -algebra over . Prove that there exists a set of positive Lebesgue measure on which is bounded.
Answer
Because
are measurable for every
Also,
If every
On
The theorem used
A measurable function is bounded on at least one set of positive measure because the whole space is the countable union of its sublevel sets
13. Give an example of a function such that is Lebesgue measurable but is not.
Answer
Let
Then
for all
But
and
So
The theorem used
Measurability of
14. If is monotone then is Borel measurable, that is, -measurable.
Answer
It is enough to show that for every
is Borel.
If
Such sets are Borel. Therefore
If
and
The theorem used
A monotone function on
15. If is differentiable everywhere, then prove that is Borel measurable.
Answer
For each
Each
Since
pointwise, after taking a suitable sequence of difference quotients. More symmetrically, one may use rational difference quotients
which converge to
The pointwise limit of Borel measurable functions is Borel measurable. Therefore
The theorem used
If
16. Let be a measurable space and be -measurable. If is continuous, then prove that is -measurable.
Answer
Since
Because
Therefore for every open set
Since
Hence
The theorem used
The composition of a measurable function with a continuous function is measurable because continuity preserves openness under inverse images.
17. If and for all then prove that is -measurable.
Answer
It is enough to show that the preimage of every open interval is measurable.
Let
Therefore
Each set on the right is in
Since open intervals can be written using open rays, it follows that
The theorem used
A function is Borel measurable if the preimage of every open ray
18. Let be a nonempty family of continuous real-valued functions defined on . Assume that for each there exists such that for all . Prove that the function defined by
is Borel measurable.
Answer
Fix a rational number
Indeed,
Each set
So for every rational
The theorem used
The pointwise supremum of any family of continuous functions is Borel measurable because its superlevel sets are unions of open sets.