Measure Theory: Continuity from below for set of intervals

jamestrickington

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I have a question from Measure Theory / Probability Theory. This is the question:
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I have established that the measure v is not sigma-additive.
I have also checked the value of An for most cases.

I am only interested in the case where An = (0, bn] where as n -> inf, b -> 0. In this case, does the infinite countable intersection of An become the empty set? If so then the statement does not hold.
 
I am only interested in the case where An = (0, bn] where as n -> inf, b -> 0. In this case, does the infinite countable intersection of An become the empty set? If so then the statement does not hold.
If the intersection of AnA_n's weren't empty, what would it contain?
 
The smallest bn which is just greater than 0. Since bn only tends to 0, it will never be equal to 0 and always greater than 0. At least that is what I think.
Let's call this "smallest bn" ϵ\epsilon. But to me the phrase "bn only tends to 0" means limn=0\lim_{n\rightarrow \infty} = 0. Do you remember the definition of limits for sequences?
 
But to me the phrase "bn only tends to 0" means lim⁡n→∞=0\lim_{n\rightarrow \infty} = 0limn→∞=0.
I meant limnbn=0\lim_{n\rightarrow\infty} \mathbf{b_n} = 0 -- sorry for this omission.
 
Here is a closing summary:
If limn=0\lim_{n\rightarrow\infty} = 0 then n(0,bn]=\bigcap_n (0,b_n] = \empty
A proof by contradiction: if S=n(0,bn]S = \bigcap_n (0, b_n] \neq \empty then : ϵ>0:n:ϵ(0,bn]\exist \epsilon > 0 : \forall n : \epsilon\in (0,b_n]
But by definition of the limit for bnb_n we have ϵ>0N:n>N:bn<ϵϵ(0,bn]\forall \epsilon > 0 \exists N : \forall n>N: b_n < \epsilon \equiv \epsilon \notin (0,b_n], q.e.d.
 
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