This question was asked in my quiz (now over) and I was unable to solve it.
For $0<y<1$ , prove that $\log[(1-y) ^{-1}] = y + O(y^2)$.
I tried using expansion of $\frac{ 1} { 1-y} $ and trying to prove $\frac{ log ( 1+ y+ y^2+...) -y }{y^2}$ will always be less than a particular constant for all $y \geq a$, but unable to do so.
So, can you please help with this.
Apologies for the typo.
To elaborate on other answers and comments, note first that the claim is false as $y$ approaches 1, since $$ \lim_{y\to 1} \left[ \log((1-y)^{-1}) \right] = \infty. $$ That is, the claim is false if $y$ is allowed to be arbitrarily close to 1. Thus we need a uniform bound on the possible values of $y$; i.e. we need to assume the slightly stronger statement that $y\leq 1-\delta$ for some fixed positive number $\delta$.
Now the result follows almost immediately from the Taylor series expansion of $-\log(1-y)$: $$ -\log(1-y) = y + \frac{y^2}{2} + \frac{y^3}{3} + \cdots. $$ The tail is bounded via $$ \frac{y^2}{2} + \frac{y^3}{3} + \cdots \leq y^2 + y^3 + y^4 + \cdots = \frac{y^2}{1-y}, $$ where we have summed the geometric series since $\left|y\right| < 1$. Then $$ \frac{y^2}{1-y} \leq \frac{y^2}{1-(1-\delta)} = \frac{y^2}{\delta}. $$ Therefore $$ -\log(1-y) = y + O(y^2), $$ where the constant implied in the $O$ notation depends on $\delta$ and may be taken to be $\frac{1}{\delta}$.