Consider the probability space $X = \{0,1\}^{\mathbb N}$ of sequences $x = (a_1, a_2, a_3, \dots)$ where each $a_i$ is either $0$ or $1.$ Take $\sigma$ to be the smallest $\sigma$-algebra that contains all cylinder sets $$C(n,A) = \{\textbf{x}| x_n \in A, A \subset \{0,1\}\}$$ that is, those sequences whose $n^{th}$ term belongs to some subset $A$ of $\{0,1\}.$ Let $\mu$ be the measure so that, given a finite collection $A_1, \dots , A_n \subset \{0,1\},$ we have $$\mu (\{\textbf{x} \,|\, x_i \in A_i, i = 1, \dots , n \}) = \Pi_{i=1}^{n}\frac{|A_i|}{2}$$ Consider the shift map $T: X \to X$ defined by $$T(a_1, a_2, a_3, \dots ) = (a_2, a_3, \dots )$$
Assuming that $T$ is measurable and preserves $\mu.$ We want to show that $T$ is ergodic.
$(a)$ Show that the set $X_{\infty} = \{ (a_1, a_2, a_3, \dots )\,|\,\exists N s.t. \forall n \geq N, a_n = 1 \}$ has measure zero.
Hint: Write $X_{\infty}$ in terms of nested cylinder sets with arbitrary small measure.
My question is:
How can I write $X_{\infty}$ in terms of nested cylinder sets with arbitrary small measure?
Is this a valid way of writing it $$X_{\infty} = \cup_{n=1}^{\infty} B_n$$ with $$B_N = \cap_{n = N}^{\infty} C(n, \{1\})$$? Should my sequence of $B_n$ be increasing or decreasing?
Any help will be greatly appreciated!