I apologize in advance for the broad question. I have been searching for some time and cannot wrap my head around this notation for Stochastic Differential Equations... I have seen it in some proofs and most recently in a homework problem I am trying to tackle.
In some solutions to SDE problems, an expression is split into components, one with a "-" exponent and one with a "+" exponent... In my current homework problem the following expression is defined:
\begin{equation*} F(\omega) = (B_T - K)^+ \end{equation*}
In this context, K>0 and T>0 are constants and Bt is one-dimensional Brownian motion.. can somebody please explain to me these types of operators and how they can be used to solve SDE-related problems. My biggest problem is that I don't even know what this is called and searching my textbook has not helped.
Thanks!
Typically,
$$ x^+ = \max \{ x,0 \} $$
and
$$ x^- = \max \{-x,0 \}.$$
That is, $x^+$ and $x^-$ are the positive and negative parts of $x$ respectively. Note that by this definition, $x^- \ge 0$, so that we can write
$$ x = x^+ - x^- $$
and
$$ |x| = x^+ + x^- . $$