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Sep
24
awarded  Commentator
Sep
24
comment What is the relevance of the supremum in this question?
@dukenukem Yes, since you are considering continuous functions on a closed and bounded interval, taking the max is the same as taking the supremum (this is the extreme value theorem).
Sep
24
comment Determining if this set defines a metric over and open interval?
Yes, for both questions there is a problem of integrability (that is, $d(x,y)$ could be infinite). However, unboundedness of $f$ or $g$ is not a problem per se: there are unbounded but integrable functions (on both $(0,1)$ and $\mathbb{R}$).
Apr
7
awarded  Organizer
Apr
5
comment Deducing probability from limited statistical data (exercise)
"Obviously" only given monotonicity: in the Brave New World $a$ would be higher than both $p$ and $q$ ("Youth almost unimpaired till sixty, and then, crack! the end."). $\frac{p+q}{2}$ is a good guess but probably not the best one: it interpolates linearly, while something like an exponential distribution seems more appropriate. In what type of math course were you given this exercise?
Apr
5
comment Deducing probability from limited statistical data (exercise)
Assuming the probability of living 15 more years is monotonic in age, we can bound the required probability between $p$ and $q$. I don't see how you can be any more precise than that.
Apr
4
comment Show $f \in L^p$ implies there is a set $E$ and a function $g$ for which $f=f\chi_E+g$ with $m(E)<\infty$ and $|g|\le 1$
Yes, precisely.
Apr
4
comment Show $f \in L^p$ implies there is a set $E$ and a function $g$ for which $f=f\chi_E+g$ with $m(E)<\infty$ and $|g|\le 1$
You are practically done! Just choose the right $g$... hint: it "complements" $f \chi_E$.
Apr
4
comment About probability
By the way, don't put "Solved" in the title, but instead accept my answer (if you find it acceptable, of course).
Apr
4
comment About probability
You're welcome, but you really need to be more precise with your notation: $a_1$ is the event (or rather $\{a_1\}$ is), which is very different from its probability $P(\{a_1\})$.
Apr
4
answered About probability
Apr
4
answered Pointwise convergence counter example.
Apr
1
revised Probability of second order equation with real coefficients to have real solutions?
added 15 characters in body
Apr
1
awarded  Supporter
Apr
1
comment Integration of non-negative functions
(Originally an answer; transforming into comment now that I have enough reputation.) It also holds when the $F_k$ are not disjoint; of course in that case we must have $a_k \neq b_k$. For example $\phi = \chi_{[0,1]}$ can have non-standard representations $\chi_{[0,1/2)} + \chi_{[1/2, 1]}$ (disjoint $F_k$ but non-distinct $b_k$'s) and $\frac{1}{3}\chi_{[0,1]} + \frac{2}{3}\chi_{[0,1]}$ (distinct $b_k$'s but overlapping $F_k$).
Apr
1
awarded  Teacher
Apr
1
answered Final Question(For Now) On Basics Limit Arithmetics
Apr
1
awarded  Editor
Apr
1
revised Probability of second order equation with real coefficients to have real solutions?
Added LaTeX
Apr
1
suggested suggested edit on Probability of second order equation with real coefficients to have real solutions?