Adapted Stochastic Process is Martingale iff Supermartingale and Submartingale/Continuous Time
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Theorem
Let $\struct {\Omega, \Sigma, \sequence {\FF_t}_{t \ge 0}, \Pr}$ be a continuous-time filtered probability space.
Let $\sequence {X_t}_{t \ge 0}$ be a continuous-time $\sequence {\FF_t}_{t \ge 0}$-adapted stochastic process.
Then $\sequence {X_t}_{t \ge 0}$ is a $\sequence {\FF_t}_{t \ge 0}$-martingale if and only if it is a $\sequence {\FF_t}_{t \ge 0}$-supermartingale and a $\sequence {\FF_t}_{t \ge 0}$-submartingale.
Proof
For each $t, s \in \hointr 0 \infty$ with $0 \le s < t$, we have:
- $\expect {X_t \mid \FF_s} = X_s$ almost surely
- $\expect {X_t \mid \FF_s} \le X_s$ almost surely
and:
- $\expect {X_t \mid \FF_s} \ge X_s$ almost surely.
That is:
- $\sequence {X_t}_{t \ge 0}$ is a $\sequence {\FF_t}_{t \ge 0}$-martingale if and only if it is a $\sequence {\FF_t}_{t \ge 0}$-supermartingale and a $\sequence {\FF_t}_{t \ge 0}$-submartingale.
$\blacksquare$