Let $A$ and $B$ be events defined on a sample space $\Omega$. Prove that
$$\textbf{P}(A \cap B) \geq\ 1 - \textbf{P}(A^{c})- \textbf{P}(B^{c}) $$
Answer:
\begin{align*} \textbf{P}(A\cap B) & = \textbf{P}(A)\textbf{P}(B) \\ & = (1 - \textbf{P}(A^{c}))(1 - \textbf{P}(B^{c})) \\ & = 1 - \textbf{P}(A^{c}) - \textbf{P}(B^{c}) + \textbf{P}(A^{c})\textbf{P}(B^{c}) \geq 1 - \textbf{P}(A^{c}) - \textbf{P}(B^{c}) \end{align*}
Notice that
\begin{align*} &\textbf{P}(A\cup B) \leq 1 \Leftrightarrow \textbf{P}(A) + \textbf{P}(B) - \textbf{P}(A\cap B) \leq 1 \Leftrightarrow\\\\ & 1 - \textbf{P}(A^{c}) + 1 - \textbf{P}(B^{c}) - \textbf{P}(A\cap B) \leq 1 \Leftrightarrow\\\\ & 1 - \textbf{P}(A^{c}) - \textbf{P}(B^{c}) \leq \textbf{P}(A\cap B) \end{align*}
Where we have used the following properties \begin{cases} \textbf{P}(X) \leq 1\\\\ \textbf{P}(X) = 1 - \textbf{P}(X^{c})\\\\ \textbf{P}(X\cup Y) = \textbf{P}(X) + \textbf{P}(Y) - \textbf{P}(X\cap Y) \end{cases}
Hope this helps.