What does $P(X;Y)$ mean in the David Williams book?

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From the David Williams book problem e10.5, for $N \in \mathbb{N}$ and for every $n$, there is an equality:

$P(T>kN) = P(T>kN;T>(k-1)N)$

Is that supposed to mean:

$P(T>kN) = P(T>kN\textbf{1}_{T>(k-1)N})$

In the book, $E(X;Y) = E(X\textbf{1}_{Y} )$

Is it the same for probability?

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For two events $A$ and $B$, $P(A;B)$ denotes $P(A\cap B)$.

In the particular setting of the question, $A=\{T>kN\}$ and $B=\{T>(k-1)N\}$ hence $A\subset B$ and the equality is then clear.