Convergence and stability of the partially truncated Euler-Maruyama method for stochastic differential equations with piecewise continuous arguments driven by Poisson jumps | Synapse
March 3, 2026
Convergence and stability of the partially truncated Euler-Maruyama method for stochastic differential equations with piecewise continuous arguments driven by Poisson jumps
Key Points
The convergence of the partially truncated Euler-Maruyama method indicates improved numerical solutions for stochastic differential equations.
Stability results were observed under specific piecewise continuous conditions with regard to Poisson jumps influencing the method's performance.
Assessment using the Euler-Maruyama method demonstrated effective handling of stochastic behaviors in differential equations influenced by random jumps.
These findings support the potential application of the method in various fields, emphasizing future computational and theoretical work needed.