Extension Theorem

Theorem (2.3.1)

Let Ω\Omega be the Sample Space, J\mathcal{J} be a semialgebra of subsets. Suppose P:J→[0,1]\mathbb{P}:\mathcal{J}\to[0,1] such that

  1. P(∅)=0\mathbb{P}(\emptyset)=0, P(Ω)=1\mathbb{P}(\Omega)=1
  2. Finite superadditivity: For A1,…,An∈JA_{1},\dots,A_{n}\in\mathcal{J} disjoint and ⋃i=1nAi∈J\bigcup_{i=1}^{n}A_{i}\in\mathcal{J} then P(⋃i=1nAi)≥∑i=1nP(Ai)\mathbb{P}\left( \bigcup_{i=1}^{n}A_{i} \right)\ge \sum_{i=1}^{n}\mathbb{P}(A_{i})
  3. Countable Monotonicity: For A,A1,…,An∈JA,A_{1},\dots,A_{n}\in\mathcal{J} s.t. A⊆⋃i≥1AiA\subseteq \bigcup_{i\ge 1}A_{i} then P(A)≤∑i≥1P(Ai)\mathbb{P}(A)\le \sum_{i\ge 1}\mathbb{P}(A_{i})

Then, we can find a σ-algebra M⊇J\mathcal{M}\supseteq\mathcal{J} and a σ\sigma-additive Probability Measure P∗\mathbb{P}^{*} on M\mathcal{M} s.t. P∗(A)=P(A)∀A∈J\mathbb{P}^{*}(A)=\mathbb{P}(A)\quad\forall A\in\mathcal{J}

\begin{proof} We first begin with some definitions and lemmas:

Definition (2.3.4)

For (Ω,J)(\Omega,\mathcal{J}) we say the Outer Measure P∗\mathbb{P}^{*} on A⊆ΩA\subseteq\Omega is defined as follow: P∗(A)=inf⁡{∑iP(Ai):A1,A2,…,∈J,A⊆⋃iAi}\mathbb{P}^{*}(A)=\inf\left\{ \sum_{i}\mathbb{P}(A_{i}):A_{1},A_{2},\dots ,\in\mathcal{J}, A\subseteq \bigcup_{i}A_{i} \right\}

Lemma (2.3.6)

For any (Bi)i≥1⊆Ω(B_{i})_{i\ge 1}\subseteq\Omega, we have that the outer measure is countably subadditive: P∗(⋃iBi)≤∑iP∗(Bi)\mathbb{P}^{*}\left( \bigcup_{i}B_{i} \right)\le \sum_{i}\mathbb{P}^{*}(B_{i})

Definition (2.3.4)

A⊆ΩA\subseteq\Omega is Carathéodory measurable if P∗(E)=P∗(E∩A)+P∗(E∩Ac)∀E⊆Ω\mathbb{P}^{*}(E)=\mathbb{P}^{*}(E\cap A)+\mathbb{P}^{*}(E\cap A^{c})\quad\forall E\subseteq\Omegaand M={A⊆Ω:A Caratheˊodory measurable}\mathcal{M}=\{ A\subseteq\Omega:A \text{ Carathéodory measurable} \}is the set of Carathéodory measurable sets.

Lemma (2.3.9)

For A1,A2,⋯∈MA_{1},A_{2},\dots \in\mathcal{M} disjoint we have that the outer measure is countably additive: P∗(⋃iAi)=∑iP∗(Ai)\mathbb{P}^{*}\left( \bigcup_{i}A_{i} \right)=\sum_{i}\mathbb{P}^{*}(A_{i})

Step 1: prove For A1∈M,A2⊆ΩA_{1}\in\mathcal{M},A_{2}\subseteq\Omega, such that A1,A2A_{1},A_{2} are disjoint P∗(A1∩A2)=P∗(A1∩(A1∪A2))+P∗(A1c∩(A1∪A2))=P∗(A1)+P∗(A2)\begin{align*} \mathbb{P}^{*}(A_{1}\cap A_{2})&= \mathbb{P}^{*}(A_{1}\cap(A_{1}\cup A_{2}))+\mathbb{P}^{*}(A_{1}^{c}\cap(A_{1}\cup A_{2}))\\ &= \mathbb{P}^{*}(A_{1})+\mathbb{P}^{*}(A_{2}) \end{align*}Where the first equality is done by applying the definition of and the second by disjoint property of both events. By induction, for A1,…,An∈MA_{1},\dots,A_{n}\in\mathcal{M} disjoint (by and finite superadditivity) P∗(A1∪⋯∪An)=∑i=1nP∗(Ai)\mathbb{P}^{*}(A_{1}\cup\dots \cup A_{n})=\sum_{i=1}^{n}\mathbb{P}^{*}(A_{i})Thus P∗(⋃i≥1Ai)≥P∗(⋃i=1nAi)=∑i=1nP∗(Ai)∀n≥1\mathbb{P}^{*}\left( \bigcup_{i\ge 1}A_{i} \right)\ge \mathbb{P}^{*}\left( \bigcup_{i=1}^{n}A_{i} \right)=\sum_{i=1}^{n}\mathbb{P}^{*}(A_{i})\quad\forall n\ge 1   ⟹  P∗(∪iAi)≥∑i≥1P∗(Ai)\implies \mathbb{P}^{*}(\cup_{i}A_{i})\ge \sum_{i\ge 1} \mathbb{P}^{*}(A_{i})But, by we have that P∗(∪iAi)=∑i≥1P∗(Ai)\mathbb{P}^{*}(\cup_{i}A_{i})=\sum_{i\ge 1}\mathbb{P}^{*}(A_{i}) Step 2: Show M\mathcal{M} is a σ-algebra where M:={A⊆Ω:P∗(E)=P∗(E∩A)+P∗(E∩Ac)∀E⊆Ω}\mathcal{M}:=\{ A\subseteq\Omega:\mathbb{P}^{*}(E)=\mathbb{P}^{*}(E\cap A)+\mathbb{P}^{*}(E\cap A^{c})\quad\forall E\subseteq\Omega \} a) Show M\mathcal{M} is a Algebra

  1. ∅,Ω∈M\emptyset,\Omega \in\mathcal{M} ✅
  2. A∈M  ⟹  Ac∈MA\in\mathcal{M}\implies A^{c}\in\mathcal{M} ✅
  3. Let A,B∈MA,B\in\mathcal{M}, E⊆ΩE\subseteq\Omega, then P∗((A∩B)∩E)+P∗((A∩B)c∩E)=P∗(A∩B∩E)+P∗((Ac∩B∩E)∪(A∩Bc∩E)∪(Ac∩Bc∩E))≤P∗(A∩B∩E)+P∗(Ac∩B∩E)+P∗(A∩Bc∩E)+Pc(Ac∩Bc∩E)=P∗(B∩E)+P∗(Bc∩E)=P∗(E)\begin{align*} &\mathbb{P}^{*}((A\cap B)\cap E)+\mathbb{P}^{*}((A\cap B)^{c}\cap E)\\ &= \mathbb{P}^{*}(A\cap B\cap E)+\mathbb{P}^{*}((A^{c}\cap B\cap E)\cup(A\cap B^{c}\cap E)\cup(A^{c}\cap B^{c}\cap E))\\ &\le \mathbb{P}^{*}(A\cap B\cap E)+\mathbb{P}^{*}(A^{c}\cap B\cap E)+\mathbb{P}^{*}(A\cap B^{c}\cap E)+\mathbb{P}^{c}(A^{c}\cap B^{c}\cap E)\\ &= \mathbb{P}^{*}(B\cap E)+\mathbb{P}^{*}(B^{c}\cap E)\\ &= \mathbb{P}^{*}(E) \end{align*} where the last two arguments are because A,B∈MA,B\in\mathcal{M}. Since this is the the one side of the inequality we wanted to prove (the other is trivial) we have that A∩B∈MA\cap B\in\mathcal{M}.

b) Lemmas… We now state some additional lemmas: >[!lemma|2.3.11] >Let A1,A2,⋯∈MA_{1},A_{2},\dots \in\mathcal{M} be disjoint. For each n∈Nn\in\mathbb{N}, let Bn=⋃i=1nAiB_{n}=\bigcup_{i=1}^{n}A_{i}. Then ∀n∈N,∀E⊆Ω\forall n\in\mathbb{N},\forall E\subseteq\Omega we have P∗(E∩Bn)=∑i=1nP∗(E∩Ai)\mathbb{P}^{*}(E\cap B_{n})=\sum_{i=1}^{n}\mathbb{P}^{*}(E\cap A_{i})

Lemma (2.3.13)

Let A1,A2,⋯∈MA_{1},A_{2},\dots \in\mathcal{M} be disjoint. Then ⋃n∈NAn∈M\bigcup_{n\in\mathbb{N}}A_{n}\in\mathcal{M}.

c) M\mathcal{M} is a σ-algebra: >[!lemma|2.3.14] >M\mathcal{M} is a σ-algebra

\begin{proof} Using we just use the fact that for any A1,A2,⋯∈MA_{1},A_{2},\dots \in\mathcal{M} we have that ⋃iAi=A1∪(A2∖A1)∪(A3∖(A1∪A2))∪…⏟disjoint∈M\bigcup_{i}A_{i}=\underbrace{ A_{1}\cup(A_{2}\setminus A_{1})\cup(A_{3}\setminus(A_{1}\cup A_{2}))\cup\dots }_{ \text{disjoint} }\in\mathcal{M} \end{proof}

Step 3: J⊆M\mathcal{J}\subseteq \mathcal{M}:

Lemma (2.3.15)

J⊆M\mathcal{J}\subseteq \mathcal{M}

\begin{proof} Let A∈JA\in \mathcal{J}. Since J\mathcal{J} is a semialgebra we can write Ac=J1⊔⋯⊔JkA^{c}=J_{1}\sqcup\dots\sqcup J_{k} for some disjoint J1,…,Jk∈JJ_{1},\dots,J_{k}\in \mathcal{J}. Also, for any E⊆ΩE\subseteq\Omega and ϵ>0\epsilon>0 by the definition of : we can find A1,A2,⋯∈JA_{1},A_{2},\dots \in \mathcal{J} with E⊆⋃nAnE\subseteq \bigcup_{n}A_{n} and ∑nP(An)≤P∗(E)+ϵ\sum_{n}\mathbb{P}(A_{n})\le\mathbb{P}^{*}(E)+\epsilon. Then

P∗(E∩A)+P∗(E∩Ac)≤P∗((⋃nAn)∩A)+P∗((⋃nAn)∩Ac)monotonicity=P∗(⋃n(An∩A))+P∗(⋃n⋃i=1k(An∩Ji))definition of semialgebra≤∑nP∗(An∩A)+∑n∑i=1kP∗(An∩Ji)subadditivity=∑nP(An∩A)+∑n∑i=1kP(An∩Ji)since P∗∣J=P=∑n(P(An∩A)+∑i=1kP(An∩Ji))≤∑nP(An)superadditivity then Caratheˊodory≤P∗(E)+ϵby assumption.\begin{align*} &\mathbb{P}^{*}(E\cap A)+\mathbb{P}^{*}(E\cap A^{c})\\ &\le \mathbb{P}^{*}\left( \left( \bigcup_{n}A_{n} \right)\cap A \right)+\mathbb{P}^{*}\left( \left( \bigcup_{n}A_{n} \right)\cap A^{c} \right)&\text{monotonicity}\\ &= \mathbb{P}^{*}\left( \bigcup_{n}(A_{n}\cap A) \right)+\mathbb{P}^{*}\left( \bigcup_{n}\bigcup_{i=1}^{k}(A_{n}\cap J_{i}) \right)&\text{definition of semialgebra}\\ &\le \sum_{n}\mathbb{P}^{*}(A_{n}\cap A) + \sum_{n}\sum_{i=1}^{k}\mathbb{P}^{*}(A_{n}\cap J_{i})&\text{subadditivity}\\ &= \sum_{n}\mathbb{P}(A_{n}\cap A)+\sum_{n}\sum_{i=1}^{k}\mathbb{P}(A_{n}\cap J_{i})&\text{since }\mathbb{P}^{*}|_{\mathcal{J}}=\mathbb{P}\\ &= \sum_{n} \left(\mathbb{P}(A_{n}\cap A)+\sum_{i=1}^{k}\mathbb{P}(A_{n}\cap J_{i})\right)\\ &\le \sum_{n}\mathbb{P}(A_{n})&\text{superadditivity then Carathéodory}\\ &\le \mathbb{P}^{*}(E)+\epsilon&\text{by assumption}. \end{align*} This is true ∀ϵ>0\forall\epsilon>0, hence since ϵ\epsilon is arbitrary, P∗(E∩A)+P∗(E∩Ac)≤P∗(E),∀E⊆Ω\mathbb{P}^{*}(E\cap A)+\mathbb{P}^{*}(E\cap A^{c})\le\mathbb{P}^{*}(E),\forall E\subseteq\Omega. Since the other direction is trivial we have that the condition holds giving us A∈MA\in \mathcal{M}, since this is for any A∈JA\in \mathcal{J} we have J⊆M\mathcal{J}\subseteq \mathcal{M}. \end{proof} All these lemmas prove what we needed to prove ✅

\end{proof}

Extensions of the Extension Theorem

Cor (2.5.4)

Let J\mathcal{J} be a semialgebra of subsets of Ω\Omega. Let P:J→[0,1]\mathbb{P}:\mathcal{J}\to[0,1] such that:

  1. P(Ω)=1\mathbb{P}(\Omega)=1,
  2. : P(⋃nIn)=∑nP(In) for I1,I2,⋯∈J disjoint with ⨆nIn∈J.\mathbb{P}\left( \bigcup_{n}I_{n} \right)=\sum_{n}\mathbb{P}(I_{n})\text{ for }I_{1},I_{2},\dots \in \mathcal{J}\text{ disjoint with }\bigsqcup_{n}I_{n}\in \mathcal{J}.

Then there is a σ-algebra M⊇J\mathcal{M}\supseteq\mathcal{J}, and a countably additive Probability Measure P∗\mathbb{P}^{*} on M\mathcal{M}, such that: (Ω,M,P∗)(\Omega,\mathcal{M},\mathbb{P}^{*}) is a Probability Space and P∗(A)=P(A),∀A∈J\mathbb{P}^{*}(A)=\mathbb{P}(A),\quad\forall A\in \mathcal{J}

Remark

Whereas requires finite superadditivity and countable monotonicity under disjoint sets this one requires countable additivity. The only things we need to prove in this case are Monotonicity of Probability Measure and under non-disjoint sets.

Proposition (2.5.7)

Let Ω\Omega be the Sample Space, J\mathcal{J} a semialgebra of subsets of Ω\Omega, and P:J→[0,1]\mathbb{P}:\mathcal{J}\to[0,1] such that (Ω,M,P∗)(\Omega,\mathcal{M},\mathbb{P}^{*}) is a Probability Space. If (Ω,F,Q)(\Omega,\mathcal{F},\mathbb{Q}) is a prob. space, P=Q\mathbb{P}=\mathbb{Q} on J\mathcal{J}, and J⊆F⊆M\mathcal{J}\subseteq \mathcal{F}\subseteq \mathcal{M} then Q(A)=P∗(A),∀A∈F\mathbb{Q}(A)=\mathbb{P}^{*}(A),\quad\forall A\in \mathcal{F}

Cor (2.5.9)

Let P\mathbb{P} and Q\mathbb{Q} be two Probability Measures defined on the collection B\mathcal{B} of Borel subsets of R\mathbb{R}. Suppose P((−∞,x])=Q((−∞,x]),∀x∈R.\mathbb{P}((-\infty,x])=\mathbb{Q}((-\infty,x]),\quad\forall x\in \mathbb{R}.Then P(A)=Q(A),∀A∈B\mathbb{P}(A)=\mathbb{Q}(A),\quad\forall A\in \mathcal{B}

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