I'm trying to check a bound on Stieltjes transform of a probability measure, that's given in equation (2.92) on P. 170 in Terence Tao's notes "Topics in Random Matrix Theory". Denote the Stieltjes transform of the probability measure $\mu$ by $s_{\mu}(z)$. Then the bound mentioned in his notes is:
$zs_{\mu}(z)= 1 + o_{\mu}(z)$ as $z= x+iy \to \infty$ so that $|\frac{x}{y}|$ is bounded. N.B. here "$o_{\mu}(z)$" is a notation used to denote $o(z)$ but with highlighting the fact that $z=x+iy\to \infty$ with $|x/y|$ bounded, and that the convergence rate depends on $\mu$.
But all I'm getting, at least under a special case, is: under the same condition of convergence, mentioned just now, $zs_{\mu}(z)= -1 + o_{\mu}(z)$, which I demonstrate below.
For the special case that I'll treat, just assume that: $\frac{x}{y}=K$. But if you follow my computation below, you'll see that the end result wouldn't change in the limit if you assume $|\frac{x}{y}|\leq K$.
$$zs_{\mu}(z) = \int_{\mathbb{R}} \frac{z}{t-z}d\mu(t)=\int_{\mathbb{R}} \frac{z(t-\bar{z})}{|t-z|^2}d\mu(t)= \int_{\mathbb{R}}\frac{(tx - x^2 - y^2)+i(ty)} {(t-x)^2 + y^2 }d\mu(t)= \int_{\mathbb{R}}\frac{(\frac{x}{y}.\frac{t}{y}- (\frac{x}{y})^2-1) + i(\frac{t}{y})}{(\frac{x}{y})^2+1}d\mu(t)= -1 + \int_{\mathbb{R}}\frac{K+1}{K^2 + 1}\frac{t}{y}d\mu(t)= -1 + \frac{K+1}{K^2 + 1}.\frac{\mathbb{E}[\mathbb{I}]}{y}$$, where $\mathbb{E}[\mathbb{I}]$ is really the expectation of the identity function $\mathbb{I}(t):=t$ w.r.t. $\mu$. Assume it exists for now!
Note that, above, since $z=x+iy \to \infty$ but $|x/y|$ is bounded (actually I assumed that $|x/y|$ is constant to make things bit easy), we must have $y \to \infty$, yielding:
$zs_{\mu}(z)= -1 + o_{\mu}(z)$, disproving $zs_{\mu}(z)= 1 + o_{\mu}(z)$. Did I do something wrong in my calculation?
Also note that: if you take: $\mu$ to be the Dirac measure at $0$, i.e. $\mu = \delta_0$, then $s_{\mu}(z)= -1/z$, which does satisfy: $zs_{\mu}(z)= -1 + o_{\mu}(z)$, but not $zs_{\mu}(z)= 1 + o_{\mu}(z)$.
Thanks for taking a look!
I believe there is a minor typo in the definition of the Stieltjes transform on page 169 of those notes, namely instead of $$ s_\mu(z):=\int_{\mathbb R}\frac{1}{x-z}d\mu(x),\qquad \Im z>0 $$ the intended definition is $$ s_\mu(z):=\int_{\mathbb R}\frac{1}{z-x}d\mu(x),\qquad \Im z>0. $$ After fixing the sign mistake caused by swapping $x$ and $z$, this matches the usual definition and also allows a straightforward justification of $(2.92)$ on page 170 as follows. Let $z_n$ be any sequence of complex numbers with $\Im(z_n)>0$ such that $z_n\to\infty$ non-tangentially, and let $f_n(x)=(z_n-x)^{-1}$. Then for all $x\in\mathbb R$ $$ \lim_{n\to\infty}z_nf_n(x)=1, $$ thus by the dominated convergence theorem it follows that $$ \lim_{n\to\infty}z_ns_{\mu}(z_n)=\lim_{n\to\infty}\int_{\mathbb R}z_nf_n(x)d\mu(x)=\int_{\mathbb R}\lim_{n\to \infty}z_nf_n(x)d\mu(x)=\int_{\mathbb R}d\mu(x)=1, $$ which in Tao's notation is equivalent to stating that $zs_{\mu}(z)=1+o_{\mu}(1)$, as claimed.
Note that the applicability of the dominated convergence theorem is justified in the exact same manner as in the observation $(2.91)$ on page 170, since the integrand satisfies $$ |z_nf_n(x)|\leq \frac{|z_n|}{|\Im(z_n)|}\leq 1. $$ In other words, we are actually using the special case of the dominated convergence theorem known as the bounded convergence theorem.