Backward Stochastic Differential Equations Driven by G-Brownian Motion with Uniformly Continuous Coefficients in (y, z)

The preparation of AuNPs/B-dNACNs and their application in P-aminophenol electrochemical sensing

“…5 The N 1s spectrum in the AuNPs/B-dNACNs (Fig. 3C) exhibits three small peaks at 398.8 for pyridinic-N, 400.49 for pyrrolic-N and 401.2 eV for graphitic-N. 35,36 The Au 4f spectrum of the AuNPs/B-dNACNs (Fig. 3D) exhibits two peaks at 84.33 for Au 4f 7/2 and 88.01 eV for Au 4f 5/2 .…”

Doubly Reflected Backward Stochastic Differential Equations Driven by G -Brownian Motion With a Kind of Non-Lipschitz Coefficients

“…and Zheng [35] studied G-BSDEs with uniformly continuous coefficients in z by a linearization method and a monotone convergence argument, Sun [34] extended the result to G-BSDEs with uniformly continuous coefficients in (y, z). Zhang and Jiang [37] studied G-BSDEs with a kind of non-lipschitz coefficients by the method of Picard iteration.…”