SUMMARY
The discussion centers on the probability density of the integral $$\int_0^t h(s) e^{2\beta(\mu(s) + W_s)}$$ where $\beta > 0$, $h$ and $\mu$ are continuous functions on $\mathbb{R}_+$, and $W$ is standard Brownian motion. The user seeks clarification on the probability density law for this integral, particularly when $\mu(s) = -\nu s$ and $h(s) = 1$. The law for this specific case is referenced from Marc Yor's book "Exponential Functionals of Brownian Motion and Related Processes".
PREREQUISITES
- Understanding of stochastic calculus, particularly Brownian motion.
- Familiarity with exponential functionals in probability theory.
- Knowledge of continuous functions and their properties on $\mathbb{R}_+$.
- Ability to interpret mathematical notation and integrals in a probabilistic context.
NEXT STEPS
- Study the properties of exponential functionals of Brownian motion.
- Read Marc Yor's "Exponential Functionals of Brownian Motion and Related Processes" for deeper insights.
- Explore the derivation of probability densities for stochastic integrals.
- Learn about the implications of continuous functions in stochastic processes.
USEFUL FOR
Mathematicians, statisticians, and researchers in stochastic processes, particularly those focusing on Brownian motion and its applications in probability theory.