Borel $sigma$-algebra on $mathbb{R}^n$












2














I'm reading Shiryaev's Probability Theory, and I am unable to understand the proof of a result concerning the Borel $sigma$-algebra on $mathbb{R}^n$.



He defines the Borel $sigma$-algebra $mathcal B(mathbb{R}^n)$ on $mathbb{R}^n$ as the smallest $sigma$-algebra containing the collection $mathcal{S}$ of all rectangles
$$ S = S_1 times ldots times S_n, quad S_k = (a_k, b_k]. $$



He then claims and proceeds to prove that
$$ mathcal{B}(mathbb{R}^n) = mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}), $$
where $mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R})$ denotes the smallest $sigma$-algebra generated by the Borel rectangles
$$ B = B_1 times ldots B_n, quad B_k in mathcal{B}(mathbb{R}), $$
i.e.
$$ mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}) = sigma(mathcal{B}(mathbb{R}) times ldots times mathcal{B}(mathbb{R})) $$



I don't understand the line of reasoning in the proof.



Before continuing, I would like to point out that I found some posts about this on MSE, namely [1] and [2], both of which provide quite nice arguments for this proof.
However, I would like to understand how the proof in the book works.



Shiryaev only proves it for $n=2$, which clearly suffices by induction.
First off, it is trivial that
$$ mathcal B(mathbb{R}^2) subset mathcal B(mathbb{R}) otimes B(mathbb{R}), $$
since every rectangle is also a Borel rectangle.
The converse is what confuses me.
He denotes
$$ tilde{mathcal{B}}_1 = mathcal{B}_1 times mathbb{R}, quad tilde{mathcal{B}}_2 = mathbb{R} times mathcal{B}_2, $$
and
$$ tilde{mathcal{S}}_1 = mathcal{S}_1 times mathbb{R}, quad tilde{mathcal{S}}_2 = mathbb{R} times mathcal{S}_2, $$
where $mathcal{S}_{1}$ and $mathcal{S}_{2}$ are the systems of half-open intervals that form the sides of the rectangles from before.
He then claims that
for all $B_1 times B_2 in mathcal{B}(mathbb{R}) times mathcal{B}(mathbb{R})$, we have
begin{align}
B_1 times B_2 = tilde B_1 cap tilde B_2 in tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2,
end{align}

where $tilde B_1 = B_1 times mathbb{R}$ and $tilde B_2 = mathbb{R} times B_2$,
which I understand. However, then he proceeds by saying
$$ tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2 color{red}{=} sigma(tilde{mathcal{S}}_1) cap tilde B_2 = sigma(tilde{mathcal{S}}_1 cap tilde B_2)
color{red}{subset} sigma(tilde{mathcal{S}}_1 cap tilde{mathcal{S}}_2) = sigma(mathcal{S}_1 times mathcal{S}_2) = mathcal{B}(mathbb{R}^2). $$

The steps marked in red are the ones that I cannot wrap my head around. Could someone clarify this for me?










share|cite|improve this question


















  • 1




    On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
    – drhab
    Jan 4 at 14:39












  • @drhab Yes, I can see that being true.
    – MisterRiemann
    Jan 4 at 14:44






  • 1




    It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
    – Matematleta
    Jan 4 at 16:25






  • 1




    Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
    – Matematleta
    Jan 4 at 17:14








  • 1




    @MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
    – drhab
    2 days ago
















2














I'm reading Shiryaev's Probability Theory, and I am unable to understand the proof of a result concerning the Borel $sigma$-algebra on $mathbb{R}^n$.



He defines the Borel $sigma$-algebra $mathcal B(mathbb{R}^n)$ on $mathbb{R}^n$ as the smallest $sigma$-algebra containing the collection $mathcal{S}$ of all rectangles
$$ S = S_1 times ldots times S_n, quad S_k = (a_k, b_k]. $$



He then claims and proceeds to prove that
$$ mathcal{B}(mathbb{R}^n) = mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}), $$
where $mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R})$ denotes the smallest $sigma$-algebra generated by the Borel rectangles
$$ B = B_1 times ldots B_n, quad B_k in mathcal{B}(mathbb{R}), $$
i.e.
$$ mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}) = sigma(mathcal{B}(mathbb{R}) times ldots times mathcal{B}(mathbb{R})) $$



I don't understand the line of reasoning in the proof.



Before continuing, I would like to point out that I found some posts about this on MSE, namely [1] and [2], both of which provide quite nice arguments for this proof.
However, I would like to understand how the proof in the book works.



Shiryaev only proves it for $n=2$, which clearly suffices by induction.
First off, it is trivial that
$$ mathcal B(mathbb{R}^2) subset mathcal B(mathbb{R}) otimes B(mathbb{R}), $$
since every rectangle is also a Borel rectangle.
The converse is what confuses me.
He denotes
$$ tilde{mathcal{B}}_1 = mathcal{B}_1 times mathbb{R}, quad tilde{mathcal{B}}_2 = mathbb{R} times mathcal{B}_2, $$
and
$$ tilde{mathcal{S}}_1 = mathcal{S}_1 times mathbb{R}, quad tilde{mathcal{S}}_2 = mathbb{R} times mathcal{S}_2, $$
where $mathcal{S}_{1}$ and $mathcal{S}_{2}$ are the systems of half-open intervals that form the sides of the rectangles from before.
He then claims that
for all $B_1 times B_2 in mathcal{B}(mathbb{R}) times mathcal{B}(mathbb{R})$, we have
begin{align}
B_1 times B_2 = tilde B_1 cap tilde B_2 in tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2,
end{align}

where $tilde B_1 = B_1 times mathbb{R}$ and $tilde B_2 = mathbb{R} times B_2$,
which I understand. However, then he proceeds by saying
$$ tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2 color{red}{=} sigma(tilde{mathcal{S}}_1) cap tilde B_2 = sigma(tilde{mathcal{S}}_1 cap tilde B_2)
color{red}{subset} sigma(tilde{mathcal{S}}_1 cap tilde{mathcal{S}}_2) = sigma(mathcal{S}_1 times mathcal{S}_2) = mathcal{B}(mathbb{R}^2). $$

The steps marked in red are the ones that I cannot wrap my head around. Could someone clarify this for me?










share|cite|improve this question


















  • 1




    On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
    – drhab
    Jan 4 at 14:39












  • @drhab Yes, I can see that being true.
    – MisterRiemann
    Jan 4 at 14:44






  • 1




    It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
    – Matematleta
    Jan 4 at 16:25






  • 1




    Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
    – Matematleta
    Jan 4 at 17:14








  • 1




    @MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
    – drhab
    2 days ago














2












2








2







I'm reading Shiryaev's Probability Theory, and I am unable to understand the proof of a result concerning the Borel $sigma$-algebra on $mathbb{R}^n$.



He defines the Borel $sigma$-algebra $mathcal B(mathbb{R}^n)$ on $mathbb{R}^n$ as the smallest $sigma$-algebra containing the collection $mathcal{S}$ of all rectangles
$$ S = S_1 times ldots times S_n, quad S_k = (a_k, b_k]. $$



He then claims and proceeds to prove that
$$ mathcal{B}(mathbb{R}^n) = mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}), $$
where $mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R})$ denotes the smallest $sigma$-algebra generated by the Borel rectangles
$$ B = B_1 times ldots B_n, quad B_k in mathcal{B}(mathbb{R}), $$
i.e.
$$ mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}) = sigma(mathcal{B}(mathbb{R}) times ldots times mathcal{B}(mathbb{R})) $$



I don't understand the line of reasoning in the proof.



Before continuing, I would like to point out that I found some posts about this on MSE, namely [1] and [2], both of which provide quite nice arguments for this proof.
However, I would like to understand how the proof in the book works.



Shiryaev only proves it for $n=2$, which clearly suffices by induction.
First off, it is trivial that
$$ mathcal B(mathbb{R}^2) subset mathcal B(mathbb{R}) otimes B(mathbb{R}), $$
since every rectangle is also a Borel rectangle.
The converse is what confuses me.
He denotes
$$ tilde{mathcal{B}}_1 = mathcal{B}_1 times mathbb{R}, quad tilde{mathcal{B}}_2 = mathbb{R} times mathcal{B}_2, $$
and
$$ tilde{mathcal{S}}_1 = mathcal{S}_1 times mathbb{R}, quad tilde{mathcal{S}}_2 = mathbb{R} times mathcal{S}_2, $$
where $mathcal{S}_{1}$ and $mathcal{S}_{2}$ are the systems of half-open intervals that form the sides of the rectangles from before.
He then claims that
for all $B_1 times B_2 in mathcal{B}(mathbb{R}) times mathcal{B}(mathbb{R})$, we have
begin{align}
B_1 times B_2 = tilde B_1 cap tilde B_2 in tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2,
end{align}

where $tilde B_1 = B_1 times mathbb{R}$ and $tilde B_2 = mathbb{R} times B_2$,
which I understand. However, then he proceeds by saying
$$ tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2 color{red}{=} sigma(tilde{mathcal{S}}_1) cap tilde B_2 = sigma(tilde{mathcal{S}}_1 cap tilde B_2)
color{red}{subset} sigma(tilde{mathcal{S}}_1 cap tilde{mathcal{S}}_2) = sigma(mathcal{S}_1 times mathcal{S}_2) = mathcal{B}(mathbb{R}^2). $$

The steps marked in red are the ones that I cannot wrap my head around. Could someone clarify this for me?










share|cite|improve this question













I'm reading Shiryaev's Probability Theory, and I am unable to understand the proof of a result concerning the Borel $sigma$-algebra on $mathbb{R}^n$.



He defines the Borel $sigma$-algebra $mathcal B(mathbb{R}^n)$ on $mathbb{R}^n$ as the smallest $sigma$-algebra containing the collection $mathcal{S}$ of all rectangles
$$ S = S_1 times ldots times S_n, quad S_k = (a_k, b_k]. $$



He then claims and proceeds to prove that
$$ mathcal{B}(mathbb{R}^n) = mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}), $$
where $mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R})$ denotes the smallest $sigma$-algebra generated by the Borel rectangles
$$ B = B_1 times ldots B_n, quad B_k in mathcal{B}(mathbb{R}), $$
i.e.
$$ mathcal{B}(mathbb{R}) otimes ldots otimes mathcal{B}(mathbb{R}) = sigma(mathcal{B}(mathbb{R}) times ldots times mathcal{B}(mathbb{R})) $$



I don't understand the line of reasoning in the proof.



Before continuing, I would like to point out that I found some posts about this on MSE, namely [1] and [2], both of which provide quite nice arguments for this proof.
However, I would like to understand how the proof in the book works.



Shiryaev only proves it for $n=2$, which clearly suffices by induction.
First off, it is trivial that
$$ mathcal B(mathbb{R}^2) subset mathcal B(mathbb{R}) otimes B(mathbb{R}), $$
since every rectangle is also a Borel rectangle.
The converse is what confuses me.
He denotes
$$ tilde{mathcal{B}}_1 = mathcal{B}_1 times mathbb{R}, quad tilde{mathcal{B}}_2 = mathbb{R} times mathcal{B}_2, $$
and
$$ tilde{mathcal{S}}_1 = mathcal{S}_1 times mathbb{R}, quad tilde{mathcal{S}}_2 = mathbb{R} times mathcal{S}_2, $$
where $mathcal{S}_{1}$ and $mathcal{S}_{2}$ are the systems of half-open intervals that form the sides of the rectangles from before.
He then claims that
for all $B_1 times B_2 in mathcal{B}(mathbb{R}) times mathcal{B}(mathbb{R})$, we have
begin{align}
B_1 times B_2 = tilde B_1 cap tilde B_2 in tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2,
end{align}

where $tilde B_1 = B_1 times mathbb{R}$ and $tilde B_2 = mathbb{R} times B_2$,
which I understand. However, then he proceeds by saying
$$ tilde{mathcal{B}}_1 cap tilde{mathcal{B}}_2 color{red}{=} sigma(tilde{mathcal{S}}_1) cap tilde B_2 = sigma(tilde{mathcal{S}}_1 cap tilde B_2)
color{red}{subset} sigma(tilde{mathcal{S}}_1 cap tilde{mathcal{S}}_2) = sigma(mathcal{S}_1 times mathcal{S}_2) = mathcal{B}(mathbb{R}^2). $$

The steps marked in red are the ones that I cannot wrap my head around. Could someone clarify this for me?







probability-theory






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 4 at 14:18









MisterRiemannMisterRiemann

5,8841624




5,8841624








  • 1




    On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
    – drhab
    Jan 4 at 14:39












  • @drhab Yes, I can see that being true.
    – MisterRiemann
    Jan 4 at 14:44






  • 1




    It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
    – Matematleta
    Jan 4 at 16:25






  • 1




    Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
    – Matematleta
    Jan 4 at 17:14








  • 1




    @MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
    – drhab
    2 days ago














  • 1




    On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
    – drhab
    Jan 4 at 14:39












  • @drhab Yes, I can see that being true.
    – MisterRiemann
    Jan 4 at 14:44






  • 1




    It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
    – Matematleta
    Jan 4 at 16:25






  • 1




    Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
    – Matematleta
    Jan 4 at 17:14








  • 1




    @MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
    – drhab
    2 days ago








1




1




On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
– drhab
Jan 4 at 14:39






On the first mark: do you agree with/understand $tilde{mathcal B}_1=sigma(tilde{mathcal S}_1)$?
– drhab
Jan 4 at 14:39














@drhab Yes, I can see that being true.
– MisterRiemann
Jan 4 at 14:44




@drhab Yes, I can see that being true.
– MisterRiemann
Jan 4 at 14:44




1




1




It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
– Matematleta
Jan 4 at 16:25




It's a typo. The $B$ should be $mathcal B$. This proof seems overly laborious especially for the $n=2$ case.
– Matematleta
Jan 4 at 16:25




1




1




Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
– Matematleta
Jan 4 at 17:14






Thank you. The crux of this is to show that $left { Atimes mathbb R :Ain mathscr B(mathbb R)right }subseteq mathscr B(mathbb R^{2})$. You can do this by using projections, or just by checking directly, which is what Sirayev is doing I guess.
– Matematleta
Jan 4 at 17:14






1




1




@MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
– drhab
2 days ago




@MisterRiemann As you say: every topological space goes along with a Borel $sigma$-algebra. I think we are on the same line here.
– drhab
2 days ago










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