Let $A_1,A_2,…,A_n$ be events in a probability space $(\Omega,\Sigma,P)$.
If $A_1,A_2,…,A_n$ are independent then $A_1^c,A_2^c,…,A_n^c$ are also independent, (where $A^c = \Omega \setminus A$).
I have found a proof by induction for this exercise, however, I have not been able to understand the conclusion of the proof, which I have marked in red. That is, why can it be immediately concluded that $A_1^c , A_2^c ,..., A_{k+1}^c$ are independent? I would really appreciate if someone can give me a clear explanation of what happens in that conclusion.
Proof by induction.
Basis for the Induction.
If $A_1$ and $A_2$ are independent then $A_1^c$ and $A_2^c$ are independent.
Assume $A_1$ and $A_2$ are independent. Then \begin{align*} P(A_1^c \cap A_2^c) &= 1 - P(A_1 \cup A_2) \\ &= 1 - P(A_1) - P(A_2) + P(A_1 \cap A_2) \\ &= 1 - P(A_1) - P(A_2) + P(A_1)P(A_2) \\ &= (1-P(A_1))(1-P(A_2)) \\ &= P(A_1^c)P(A_2^c). \end{align*}
Induction Hypothesis.
This is our induction hypothesis:
If $A_1,A_2,…,A_k$ are independent then $A_1^c,A_2^c,…,A_k^c$ are independent.
Then we need to show:
If $A_1,A_2,…,A_{k+1}$ are independent then $A_1^c,A_2^c,…,A_{k+1}^c$ are independent.
Induction Step.
This is our induction step.
Suppose $A_1,A_2,…,A_{k+1}$ are independent.
Then: \begin{align} P\left( {\bigcap_{i = 1}^{k + 1} A_i}\right) &= P\left( \bigcap_{i=1}^{k}A_i \cap A_{k+1} \right) \\ &= \prod_{i=1}^{k}P(A_i) \cdot P(A_{k+1})\\ &= P\left(\bigcap_{i=1}^{k}A_i\right) \cdot P(A_{k+1}) \end{align}
So we see that $\bigcap_{i=1}^{k}A_i$ and $A_{k+1}$ are independent.
So $\bigcap_{i=1}^{k}A_i$ and $A_{k+1}^c$ are independent.
$\color{red}{\text{So, from the above results, we can see that} A_1^c,A_2^c,…,A_{k+1}^c \text{are independent}}.$