Let
- $(\Omega,\mathcal A,\operatorname P)$ be a probability space
- $(\mathcal F_t)_{t\ge 0}$ be a filtration of $\mathcal A$
- $(B_t)_{t\ge 0}$ be a real-valued Brownian motion with respect to $\mathcal F$ on $(\Omega,\mathcal A,\operatorname P)$
- $\lambda$ be the Lebesgue integral on $[0,\infty)$
I've read the following: Let $\sigma$ and $b$ be real-valued $\mathcal F$-progressively measurable stochastic processes on $(\Omega,\mathcal A,\operatorname P)$ with $$\int_0^t\sigma_s^2+|b_s|\;{\rm d}s<\infty\tag 1\;\;\;\operatorname P\text{-almost surely}$$ for all $t\ge 0$ $\Rightarrow$ $$X_t=\int_0^t\sigma_s\;{\rm d}B_s+\int_0^tb_s\;{\rm d}s\tag 2$$ is called Itō process with diffusion coefficient $\sigma$ and drift $b$.
However, some things are weird about that definition:
- People state that $(1)$ and the second integral in $(2)$ are Riemann integrals. But unless the points of discontinuity of the paths of $b$ form a $\lambda$-null set, it is not Riemann integrable and hence $(1)$ is not even defined (as a Riemann integral). So, shouldn't $\int_0^t{\rm d}s$ be replaced by $\int_0^t{\rm d}\lambda(s)$? In that case $(1)$ would ensure, that almost surely the paths of $b$ are $\lambda$-integrable on $[0,t]$ for any $t\ge 0$ and thereby the second integral in $(2)$ would be almost surely well-defined (as a Lebesgue integral).
- But we still got a problem: Since the second integral in $(2)$ is only well-defined on $\Omega\setminus N$ for some $\operatorname P$-null set $N\subseteq\Omega$, the integral and thereby $X_t$ is undefined on $N$. So, do we in fact need to replace $X_t$ on $N$ by something well-defined?