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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

Science formelle

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Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Six-dimensional sphere packing and linear programming

Null energy constraints on two-dimensional RG flows

Geometric Learning: Leveraging differential geometry for learning and control

Stable cones in the thin one-phase problem

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Formal Autograding in a Classroom (Experience Report)

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

Generation of entangled photon pairs from a silicon bichromatic photonic crystal cavity

Null energy constraints on two-dimensional RG flows

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Towards Trustworthy Deep Learning for Image Reconstruction

Six-dimensional sphere packing and linear programming

Stable cones in the thin one-phase problem

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

Formal Autograding in a Classroom (Experience Report)

Geometric Learning: Leveraging differential geometry for learning and control

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Generation of entangled photon pairs from a silicon bichromatic photonic crystal cavity