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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Toyomu Matsuda

We give an extension of Le's stochastic sewing lemma. The stochastic sewing lemma proves convergence in

L_m

of Riemann type sums

\sum _{[s,t] \in \pi } A_{s,t}

for an adapted two-parameter stochastic process A, under certain conditions on the moments o ...

Cambridge Univ Press2024

Convergence absolue

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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

LDP and CLT for SPDEs with transport noise

Computational Studies for the Design of Metalloenzyme Mimics

Identifying invariant solutions of wall-bounded three-dimensional shear flows using robust adjoint-based variational techniques

One- and two-step semi-Lagrangian integrators for arbitrary Lagrangian-Eulerian-finite element two-phase flow simulations

A new method for lattice reduction using directional and hyperplanar shearing

Mixed-precision explicit stabilized Runge-Kutta methods for single- and multi-scale differential equations

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

Over-the-Air Computation via Reconfigurable Intelligent Surface

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

Computational Studies for the Design of Metalloenzyme Mimics

One- and two-step semi-Lagrangian integrators for arbitrary Lagrangian-Eulerian-finite element two-phase flow simulations

Identifying invariant solutions of wall-bounded three-dimensional shear flows using robust adjoint-based variational techniques

LDP and CLT for SPDEs with transport noise

Over-the-Air Computation via Reconfigurable Intelligent Surface

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

A new method for lattice reduction using directional and hyperplanar shearing

Mixed-precision explicit stabilized Runge-Kutta methods for single- and multi-scale differential equations