- #36
parshyaa
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- 19
For high school 4th question I got total area coverd by donkey = 7646.786, is it correct , I will post my working if the answer would be correct.
That is a weird min/max situation then. We are looking for potential issues with s, but then we take the case where those problems appear last, and ask when they can first appear.micromass said:The idea is that your construction must work for all realizations of ##Y_i##, not just special cases. Sure for some realizations of ##Y_i##, you don't need much to make ##s## explode. But it must work for all realizations.
Krylov said:Regarding the statement of advanced problem #6# I have three questions:
(1) Nitpicking: I suppose that for the ##\sigma##-additivity we must have ##A_k \in \mathcal{B}## for all ##k \in \mathbb{N}##.
(2) A similar remark can be made regarding the definition of "non-atomic".
Maybe these questions are superfluous, if the convention in probability is that sets are understood to be measurable if not stated otherwise? (I don't know, I'm not a probabilist.)
(3) I was a bit confused by the formulation of what needs to be proved. Should it be: "Prove that in a non-atomic probability space, for each ##A \in \mathcal{A}## with ##\mathbb{P}(A) > 0## and for every sequence ##p_1,p_2,\ldots \ge 0## with ##\sum_k{p_k} = 1## it holds that ##A## can be decomposed into a disjoint union ##A = \bigcup_k{A_k}## with ##A_k \in \mathcal{A}## and ##\mathbb{P}(A_k) = p_k\mathbb{P}(A)##."?
Thank you.
Krylov said:Here is part 1 of 2 of my attempt for advanced problem #6. All sets are measurable, unless stated otherwise. I have to say that although I am not such a fan of probability, I enjoyed this problem quite a bit, thank you @micromass. It made me open my neglected copy of Billingsley's "Probability and Measure", 3rd edition. There I found problem #6 as problem 2.19(d). Since I never saw it before, I believe I am allowed to try the solution?
In the preceding problem 2.19(c) it is asked: Show in the nonatomic case that ##0 \le x \le \mathbb{P}(A)## implies that there exists ##B \subseteq A## such that ##\mathbb{P}(B) = x##. Also, a hint is given.
Of course, this is a very intuitive, "intermediate value like" result, but it is not something that I consider obvious or "common knowledge". Probably its proof is somewhere else in the literature, but I find it nicer (and more instructive for myself) to prove it in a subsequent post in this thread. In the present post I will explain how [Billingsley, 2.19(c)] can be used to solve challenge #6.
Hence, let ##p_1,p_2,\ldots \ge 0## with ##\sum_k{}{p_k} = 1## be given and let ##A## be an event with ##\mathbb{P}(A) > 0##. Then
$$
0 \le p_1\mathbb{P}(A) \le \mathbb{P}(A)
$$
so by [Billingsley, 2.19(c)] there exists ##A_1 \subseteq A## such that ##\mathbb{P}(A_1) = p_1\mathbb{P}(A)##. To construct ##A_2## we note that
$$
0 \le p_2\mathbb{P}(A) \le (1 - p_1)\mathbb{P}(A) = \mathbb{P}(A) - \mathbb{P}(A_1) = \mathbb{P}(A \setminus A_1)
$$
so again by [Billingsley, 2.19(c)] there exists ##A_2 \subseteq A \setminus A_1## such that ##\mathbb{P}(A_2) = p_2\mathbb{P}(A)##. Clearly ##A_1## and ##A_2## are disjoint. This construction of ##A_1## and ##A_2## suggests how to proceed inductively. Suppose we have constructed the disjoint sets
$$
A_1 \subseteq A, \quad A_2 \subseteq A \setminus A_1, \quad \ldots \quad A_n \subseteq A \setminus \bigcup_{k=1}^{n-1}{A_k}
$$
such that ##\mathbb{P}(A_k) = p_k\mathbb{P}(A)## for all ##k = 1,\ldots,n##. Then
$$
0 \le p_{n+1}\mathbb{P}(A) \le \left(1 - \sum_{k=1}^n{p_k} \right)\mathbb{P}(A) = \mathbb{P}(A) - \sum_{k=1}^n{\mathbb{P}(A_k)} = \mathbb{P}\left(A \setminus \bigcup_{k=1}^n{A_k}\right)
$$
so by [Billingsley, 2.19(c)] there exists ##A_{n+1} \subseteq A \setminus \bigcup_{k=1}^n{A_k}## such that ##\mathbb{P}(A_{n+1}) = p_{n+1}\mathbb{P}(A)##.
What remains to be shown, is that the union of all ##A_k## covers ##A##. We observe that ##\left(\bigcup_{k=1}^n{A_k} \right)_{n \in \mathbb{N}}## is increasing with respect to inclusion, say to a limit set ##A_{\infty} \subseteq A##. By continuity of the probability measure from below and disjointness of the ##A_k## we have
$$
\mathbb{P}(A_{\infty}) = \lim_{n \to \infty}{\mathbb{P}\left(\bigcup_{k=1}^n{A_k} \right)} = \sum_{k=1}^{\infty}{\mathbb{P}(A_k)} = \mathbb{P}(A)
$$
Therefore the difference ##A_0 := A \setminus A_{\infty}## has probability zero and does not intersect any of the other ##A_k##. Hence I take the liberty to add ##p_0 := 0## satisfying ##\mathbb{P}(A_0) = p_0\mathbb{P}(A)## to the start of the sequence ##p_1,p_2,\ldots##. If this is acceptable, then what remains is the solution of [Billingsley, 2.19(c)] which I will post here today or tomorrow.
Biker said:I was wondering what kind of proof do you expect to be based on the idea of Question 3 of high school's challenges.
Because I couldn't figure out another way to do it and The 2nd arithmetic proof seems simple and consistent.
Now in order to get back to your reversed sequence you have to trace back what you did. (doing what you have done in reversed)
Krylov said:what remains is the solution of [Billingsley, 2.19(c)] which I will post here today or tomorrow.
Thank you so much, @disregardthat. I see that you live up to your nickname.disregardthat said:Following up on the lemma above for problem 6.
Krylov said:Thank you so much, @disregardthat. I see that you live up to your nickname.
Incidentally, Zorn's lemma (or any other version of A.C.) is unnecessary, see the hint for 2.19(c) ("the lemma") in Billingsley and the corresponding "Notes on the Problems" in the back of the book.
fresh_42 said:Well, I'm going to give an outstanding problem a chance (previous advanced #1).
We start by writing ##G/H=\{g_iH| 1 \leq i \leq p\}## with ##\left. p \, \right| |G|## as the smallest of all prime divisors.
The left multiplication ##L_x : G/H \rightarrow G/H \; , \; L_x(g_iH) = xg_iH## defines a group homomorphism from ##G## to ##Sym(G/H)## whose kernel is thus a normal subgroup of ##G## and its image a subgroup of ##Sym(G/H)##. This means ##im L## is of finite order and the greatest possible divisor is ##p##, because ##|Sym(G/H)|=p! ##
Since ##im L \cong G/ker L## and ##p## is the smallest prime in ##|G|##, all greater primes have to be canceled out by ##|ker L|##.
But there is only one ##p## available in ##p! \;##, so ##|im L| \in \{1,p\}##
##im L = \{1\}## would imply ##L_x(g_iH)=xg_iH=g_iH## for all ##x## of ##G## and all ##i##. However, this would imply ##g^{-1}xg \in H## for all ##g \in G## and ##x\in H##, which is obviously wrong for at least one element ##x=g_i##.
Thus ##im L \cong \mathbb{Z}_p \cong G/ker L##. Since we haven't specified our cosets ##g_iH## so far, we may choose an element ##a \in G## such that ##L_a## generates ##im L## and ##a \notin H##. (## a \in H \Rightarrow g_iH = L_{g_i}(H) = L_{a^n}(H) = H## which cannot be the case for all ##i##.)
Now for ##x \in ker L## there is ##xH = L_x(H) = id_{G/H} (H) = H## which means ##ker L \subseteq H## and therefore ##ker L = H## because ##|G/H|\,=\,p\,\,=\, |im L| =\,|G/ ker L |##. As a kernel of a group homomorphism ##H## has to be normal.
Let's now consider a group ##G## of order ##|G|=pq## with primes ##p \leq q##.
By the previous we have a short exact sequence ##H=\mathbb{Z}_q \rightarrowtail G \twoheadrightarrow \mathbb{Z}_p = G/H##
Let ##\mathbb{Z}_q = <b\, | \, b^q = 1> \triangleleft \; G## be the normal subgroup and ##\mathbb{Z}_p = <a\, | \, a^p = 1>##
We have seen that ##L_x(\mathbb{Z}_q ) = a^n \mathbb{Z}_q## for some ##n##, i.e. we may write ##G = \mathbb{Z}_q \times \mathbb{Z}_p## as sets. Furthermore we have ##a\cdot b=b^m\cdot a## for some ##m##, because right and left cosets of ##\mathbb{Z}_q = <b>## are equal. In addition ##m## and the prime ##q## have to be coprime. Thus we have an equation ##1=rm+sq##.
Now ##\varphi (a)## with ##\varphi (a)(b) = a^{-1}b^ma## and ##\psi(a)## with ##\psi(a)(b) = ab^ra^{-1}## define two group homomorphisms of ##\mathbb{Z}_q## which are inverses of themselves. Thus ##\varphi(a)## is an automorphism of ##\mathbb{Z}_q## and ##\varphi : \mathbb{Z}_p \rightarrow Aut(\mathbb{Z}_q) \cong \mathbb{Z}^*_q \cong \mathbb{Z}_{q-1}## a group homomorphism.
This establishes a semi-direct product ##G \cong \mathbb{Z}_q \rtimes_{\varphi} \mathbb{Z}_p##.
If ##\left. p \right| (q-1)## we get ##\frac{q-1}{p}## many automorphisms in the semi-direct product, which all give rise to isomorphic groups ##G##. (I'm not quite sure here. Maybe there are as many isomorphism classes as there are prime factors in ##\frac{q-1}{p}##.)
If ##p \nmid (q-1)## then the entire subgroup ## \mathbb{Z}_p## is mapped to the identity in ##Aut( \mathbb{Z}_q)## which covers the case of a direct product ##G \cong \mathbb{Z}_q \times \mathbb{Z}_p##.
Yep, found it. You caught me cheating on this semi-/ direct part.micromass said:You should work out the case ##p~\vert~q-1## in some more detail. But also, your proof fails in the case ##p=q##, I"ll let you find out where.
Nope, it was ok. I just missed it.TeethWhitener said:@micromass Was mine just wrong (posts 52, 53)?
mfb said:I'm quite sure the numbers should satisfy (a) and (b) together, not separately.
The list in the problem statement seems to have a typo in it, and I don't understand why 9 is not listed.
Biker said:Challenges for high school:
2-
I will just pretend that the Earth is a perfect sphere.
If you move close to the south pole, You can mark a circle with a circumference of 1 mile around the earth. Now move 1 mile further to the south and and face the north.
Move one mile north and you are on the circle, Move one mile west and you will come back to the same place (assuming west from your initial location) move 1 mile south and you are back to the same place.
and you can be on the north pole, as the Earth is a sphere you will form a triangle that will leads you back to the same place (Disregarding the method I suggested) or you could use the same method but with minor changes at the north pole
Who needs a gps :P
Erland said:I have been trying to solve Advanced Problem no 4 for a long time now, but it seems impossible. Conditions 1 and 5 seem impossible to reconcile. I have been trying an Axiom of Choice (Zorn's Lemma) approach, but I don't get anywhere. Perhaps this is a bad approach...
I think it requires a result that depends on AC, but not AC directly? At least that is how I know the proof of this problem. (I will stick by the rules and not say more.)micromass said:It does require the axiom of choice.
Krylov said:I think it requires a result that depends on AC, but not AC directly? At least that is how I know the proof of this problem. (I will stick by the rules and not say more.)
My first idea was to define a modified sequence where the nth element is the average of the first n elements, and then look for that limit.4. Let ##X## denote the set of all bounded real-valued sequences. Prove that a generalized limit exists for any such sequence. A generalized limit is any function function ##L:X\rightarrow \mathbb{R}## such that
1) ##L((x_n + y_n)_n) = L((x_n)_n) + L((y_n)_n)##
2) ##L((\alpha x_n)_n) = \alpha L((x_n)_n)##
3) ##\liminf_n x_n \leq L((x_n)_n)\leq \limsup_n x_n##
4) If ##x_n\geq 0## for all ##n##, then ##L((x_n)_n)\geq 0##.
5) If ##y_n = x_{n+1}##, then ##L((x_n)_n) = L((y_n)_n)##
6) If ##x_n\rightarrow x##, then ##L((x_n)_n) = x##.