Proof of: If $P(A) = P(B) = 1$ then $P(A \cap B) = 1$.

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Ok so I know this is obviously true but not sure if my method is right to proving it. Here's my go.

$P(A\cap B)= P(A) \cdot P(B)$ by definition.

$P(A)=P(B)=1$

Therefore $1\cdot 1=1$ so $P(A\cap B)=1$

I realise this is a really simply question but this answer seems too easy.

Thanks

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Well, you cannot say $P(A\cap B)= P(A) \cdot P(B)$ because you do not know if $A$ and $B$ are independent. Anyway, you could say $$P(A\cap B) = 1-P((A\cap B)^c)=1-P(A^c \cup B^c) \geq 1-(P(A^c)+ P(B^c))= 1-(0+0)=1$$

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We begin with $$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$ Since $P(A)=P(B)=1$, we can rearrange this as $$P(A\cap B)=2-P(A\cup B)$$ While we might not know $P(A\cup B)$, we know that $P(A\cup B)\le 1$ (true for all probabilities), and hence $$P(A\cap B)\ge 2-1=1$$ Since also $P(A\cap B)\le 1$ (true for all probabilities), we can be sure that $P(A\cap B)=1$.

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Note that $A\subset A\cup B$ and $B\subset A\cup B$ implies $P(A\cup B)\geq P(A)$ and $P(A\cup B)\geq P(B)$. Then $P(A\cup B)=1$. By Inclusion–exclusion principle $$ P(A\cup B)= P(A)+P(B)-P(A\cap B). $$ So $$ 1=1+1-P(A\cap B). $$

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$P(A|B)=\frac{P(A \bigcap B)}{P(B)}$, thus $P(A \bigcap B)=P(A|B)P(B)$.

If $P(A)=1$, then that means that $A$ always happens, so it will still always happen when $B$ happens, so $P(A|B)=1$. Since $P(B)=1$, $P(A \bigcap B)=1$.