Yet another corner of the internet

  • Yet another limit pf from Ash 😅

    Problem: Suppose $\mu$ is a probability measure (or nonegative countably additive set function) and the following holds - $A_i\uparrow A$ and $A_i’\uparrow A’$ such that $A\subset{A’}$ than we have - $\lim_i\mu(A_i)\leq\lim_i\mu(A_i’)$.

    The simplest proof possible: As we know from previous statements on countably additive set functions - $$\lim_i\mu(A_i)=\mu(\lim_i{A_i})=\mu(A)\leq\mu(A’)=\mu(\lim_i{A_i’})=\lim_i\mu(A_i’)$$

    A first attempt of a proof using elementary analysis: Naively, we may try to attack this question as purely a question on sequences of real numbers $\set{\mu(A_i)}_i$ and $\set{\mu(A_i’)}_i$?

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  • A question on the cardinality of a $\sigma$-field

    Let $\gamma$ be a any class of subsets of $\Omega$ such that $\phi,\Omega\in\gamma$. We define $\gamma_0=\gamma$, and for any ordinal $\alpha>0$, inductively:

    $$\gamma_\alpha = (\cup\set{\gamma_\beta:\beta<\alpha})’$$

    Where $D’$ is the class of all countable unions of differences of sets in $D$.

    What is $D’$? Assume $D = \set{\Omega, \phi}$ The difference $\Omega-\phi$ is the set $\Omega$. Assume $A\in{D}$ than $D’$ contain $\phi-A$, $\Omega-A=A^c$, $\phi-A=\phi$, etc.

    But than - $A=\Omega-A^c\in{D’}$!

    We than define $\frak{U}=\cup\set{\gamma_{\alpha}:\alpha<\beta}$

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  • A proof for $\mu(\lim_{n\rightarrow\infty}{A})=\lim_{n\rightarrow\infty}{\mu(A_n)}$

    Definition: If $\liminf A_n = \limsup A_n = A^{\star}$ we define $\lim_n A_n = A^{\star}$.

    Problem: Assume $\mu$ a finite measure and $A_n\in\mathcal{F}, \forall{n}\in\mathbb{N}$. Show $\mu(\lim_{n\rightarrow\infty}{A})=\lim_{n\rightarrow\infty}{\mu(A_n)}$

    An initial idea:

    My initial idea was to use the following properties of $\liminf A_n$ and $\limsup A_n$:

    1. $w\in\liminf{A_n} \iff \exist{n}$ such that $\forall{k\geq{n}}$ we have $w\in{A_k}$.

    2. $w\in\limsup{A_n} \iff$ there are infinitely many $n$ such that $w\in{A_n}$.

    However these propoerties do not reveal a connection between $\mu(\limsup{A_n})=\mu(\liminf{A_n})=\mu(A^{\star})$ and $\mu(A_n)$.

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  • An explicit construction of a $\sigma$-field

    $\sigma$-field definition and motivation:

    Definition: A $\sigma$-field is a collection of subsets of a set $\Omega$ such that the following hold:

    1. $\Omega \in F$.
    2. if $A \in F$, so is $A^C \in F$.
    3. For any countable collection of sets ${A_i}_{i=0}^\infty$ in $F$ their union is in $F$ as well.

    The motivation for this discussion is based on the following problem by Ash:

    “Let $A_1,…,A_n$ be arbitraty subsets of $\Omega$. Describe (explicitly) the smallest $\sigma$-field $\mathcal{F}$, containing $A_1,..,A_n$. How many sets are in there $\mathcal{F}$?”

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  • The Mathematics of "Machi Koro"

    “Machi Koro” is a strategy (and luck) board game where players try to gain assets and money.

    Rules of the game

    In each turn; each player tosses a die (or two, if permitted) and gains (or losses) money depending on the outcome of the die and his current assets.

    Each player starts with the same set of assets:

    Machi Koro starting assets

    The starting hand. Credit: Machi Koro - The Rules and Tactics

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  • $\sigma$-fields and Measures

    $\sigma$-fields:

    The section begins with the definition of a sigma field (algebra) $F$:

    Definition: A sigma field is a collection of subsets of a set $\Omega$ such that the following hold:

    1. $\Omega \in F$.
    2. if $A \in F$, so is $A^C \in F$.
    3. For any countable collection of sets ${A_i}_{i=0}^\infty$ in $F$ their union is in $F$ as well.

    Observations:

    1. The empty set $\phi$ is also in F - since $\phi = \Omega^c \in F$.
    2. Finite intersections are also in F - Using De Morgan, we may write - $(A^C \cup B^C)^C=A\cap B$
    3. Using the same reasoning so is countable intersections.

    Measures:

    Definition: A measure $\mu$ is a non-negative countably additive set-function defined on a $\sigma$-field $F$ of a set $\Omega$:

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  • Notes on Real Analysis and Probability (Ash)

    Following the recommendations[1][2] of one Terry Tao, I’ve started this set of notes (or journal?) for my own enjoyment while reading through “Real Analysis and Probability” by Robert Ash.

    I may jump to between chapters two and chapter five as the book is structured in such a way that one can do that.

    Chapter 1:

    Basic properties of sets:

    1. If $A_1….A_k$ form an increasing sequence (in the sense $A_{1}\subset{A_{2}}…\subset{A_k}$), than their complements form a decreasing sequence - $A_{k}^c\subset{A_{i-2}^c}…\subset{A_1^c}$.

    Proof: By induction. For $k=2$, $A_1\subset{}A_2$. Assume that $A_2^c\nsubseteq{}A_1^c$. We may conclude -

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