We define the Lebesgue Outer Measure of an interval $[a,b]$ by
$$\lambda([a,b])= \inf \left\{\sum_{j=1}^\infty |I_j|: [a,b]\subset \bigcup_{j=1}^{\infty} I_j\right\}$$
where $\{I_j\}$ is a sequence of open intervals that cover $[a,b]$, and we define the length of an open interval $|(a,b)|= b-a$. I want to show $\lambda([a,b])= b-a$
The proof of the book that I am using starts with the following:
Let $\epsilon >0$. Because
$$[a,b] \subset \left(a- \frac{\epsilon}{4}, b+ \frac{\epsilon}{4}\right) \cup \bigcup_{n=2}^\infty \left(- \frac{\epsilon}{2 \cdot 2^n},\frac{\epsilon}{2 \cdot 2^n}\right)$$, we obtain $\lambda([a,b]) < b-a +\epsilon$ which implies $\lambda([a,b])\le b-a$.
I can understand $[a,b] \subset (a- \frac{\epsilon}{4}, b+ \frac{\epsilon}{4})$, but I do not get the part $\cup \bigcup_{n=2}^{\infty} (- \frac{\epsilon}{2 \cdot 2^n},\frac{\epsilon}{2 \cdot 2^n})$ Since $(a- \frac{\epsilon}{4}, b+ \frac{\epsilon}{4})$ already covers $[a,b]$, and I do not think that $\bigcup_{n=2}^{\infty} (- \frac{\epsilon}{2 \cdot 2^n},\frac{\epsilon}{2 \cdot 2^n})$ will necessarily cover an arbitrary closed interval $[a,b]$, so I do not really know why you need that union of arbitrary small intervals. (My guessing is that you add the countable union so that it coincides with the definition of Lebesgue outer measure)
In addition, I do not know how can we arrive at the inequality $\lambda([a,b]) < b-a +\epsilon$. I do know that $b-a + \epsilon$ is essentially the length of $(a- \frac{\epsilon}{4}, b+ \frac{\epsilon}{4}) \cup \bigcup_{n=2}^{\infty} (- \frac{\epsilon}{2 \cdot 2^n},\frac{\epsilon}{2 \cdot 2^n})$ since I already computed it out. Taking the infimum of the length, we get $b-a$ and this is the outer measure (I think this statement should be wrong though)
Sidenote: I have not officially encountered Lebesgue Measure yet. I encountered this outer measure thing when the book is trying to show function continuous a.e is Riemann-integrable.
I really hope someone can shed some light since I have been puzzled by this the entire day.