Artificial intelligent assistant

Some confusion regrading $\sigma$-algebras I have the following proposition: > Let $X$ be a non-empty set and $\mathcal{B}$ a collection of subsets of $X$. Then there exists a smallest $\sigma$-algebra $\sigma(\mathcal{B})$ containing $\mathcal{B}$. What I have trouble reconciling, is that I understand a $\sigma$-algebra to be a collection of subsets of $X$ satisfying certain properties (i.e. it is a collection of _measurable_ sets). So, what if for example $\mathcal{B}$ is a collection of non-measurable sets? Then, I assume, there is no $\sigma$-algebra containing the sets from $\mathcal{B}?$

To be measurable is a relative notion : you are measurable for a specific $\sigma$-algebra. You seem to be confused and to think that being measurable is an internal property...measurability is defined after having defined a $\sigma$-algebra

So, if you have a $\sigma$-algebra $\mathcal{B_1}$, you can take a collection of non-measurable set (for $\mathcal{B_1}$) and consider the $\sigma$-algebra $\mathcal{B_2}$ generated by this collection. Then your sets will be measurable for the new $\sigma$-algebra $\mathcal{B_2}$ BY DEFINITION of measurability. This is just that $\mathcal{B_2}$ has no reason to be included in $\mathcal{B_1}$

On the other hand, if you take a collection of measurable (still for $\mathcal{B_1}$) sets as a generator, then you will indeed create a sub $\sigma$-algebra of $\mathcal{B_1}$. But this is not the case in general

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