Splitting algorithm and normed convergence for drawing the random Loewner curves

Recent advances in Schramm–Loewner evolution have driven increasing interest in non-standard Loewner flows. In this work, we propose a novel splitting algorithm to simulate random Loewner curves with rigorous convergence analysis in sup-norm and L p . The algorithm is further extended to explore fractional Schramm–Loewner evolution (SLE), driven by fractional Brownian motion, and noise-reinforced SLE, incorporating the effect on long-term memory. These exploratory and numerical extensions enable theoretical predictions on fractal dimensions and other statistical phenomena, providing new insights into such dynamics and opening directions for future research.