Theorem: Let $T$ be a bounded self-adjoint linear operator on a Hilbert space. Then
$$
\lambda=\inf_{\|x\|=1}\langle Tx,x\rangle
$$
is in the spectrum of $T$. Therefore, if $\sigma(T)\subset[0,\infty)$, then $\inf_{\|x\|=1}\langle Tx,x\rangle \ge 0$.
Proof: To prove what you want, let $\lambda=\inf_{\|x\|=1}\langle Tx,x\rangle$, and note that $\lambda$ satisfies
$$
0 \le \langle (T-\lambda I)x,x\rangle.
$$
Therefore $[x,y] = \langle (T-\lambda I)x,x\rangle$ has all the properties of an inner product, except possibly strict positivity ($[x,x] \ge 0$ is always non-negative.) So the Cauchy-Schwarz inequality holds:
$$
|[x,y]|^2 \le [x,x][y,y] \\
|\langle (T-\lambda I)x,y\rangle|^2 \le \langle (T-\lambda I)x,x\rangle\langle(T-\lambda I)y,y\rangle
$$
Now set $y=(T-\lambda I)x$ in order to obtain
\begin{align}
\|(T-\lambda I)x\|^4 &\le \langle (T-\lambda I)x,x\rangle\cdot\langle(T-\lambda I)^2x,(T-\lambda I)x\rangle \\
&\le \langle(T-\lambda I)x,x\rangle\|(T-\lambda I)\|\|(T-\lambda I)x\|\|(T-\lambda I)x\| \\
\|(T-\lambda I)x\|^2 &\le\|(T-\lambda I)\|\langle(T-\lambda I)x,x\rangle
\end{align}
If you choose a sequence of unit vectors $\{ x_n\}$ so that $\langle (T-\lambda I)x_n,x_n\rangle\rightarrow 0$, it follows that $(T-\lambda I)x_n\rightarrow 0$, which forces $\lambda\in\sigma(T)$. $\;\;\blacksquare$