<p>For the Euler scheme of the stochastic linear evolution equations, the discrete stochastic maximal <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="40072_2025_375_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="20" /> </InlineMediaObject> <EquationSource Format="TEX">\( L^p \)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>L</mi> <mi>p</mi> </msup> </math></EquationSource> </InlineEquation>-regularity estimate is established, and a sharp error estimate in the norm <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="40072_2025_375_Article_IEq2.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="127" /> </InlineMediaObject> <EquationSource Format="TEX">\( \Vert {\cdot } \Vert _{L^p(\Omega \times (0,T);L^q({\mathcal {O}}))} \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mrow> <mo stretchy="false">‖</mo> <mo>·</mo> <mo stretchy="false">‖</mo> </mrow> <mrow> <msup> <mi>L</mi> <mi>p</mi> </msup> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="normal">Ω</mi> <mo>×</mo> <mrow> <mo stretchy="false">(</mo> <mn>0</mn> <mo>,</mo> <mi>T</mi> <mo stretchy="false">)</mo> </mrow> <mo>;</mo> <msup> <mi>L</mi> <mi>q</mi> </msup> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">O</mi> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="40072_2025_375_Article_IEq3.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="91" /> </InlineMediaObject> <EquationSource Format="TEX">\( p,q \in [2,\infty ) \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>p</mi> <mo>,</mo> <mi>q</mi> <mo>∈</mo> <mo stretchy="false">[</mo> <mn>2</mn> <mo>,</mo> <mi>∞</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation>, is derived via a duality argument.</p>

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Stability and convergence of the Euler scheme for stochastic linear evolution equations in Banach spaces

  • Binjie Li,
  • Xiaoping Xie

摘要

For the Euler scheme of the stochastic linear evolution equations, the discrete stochastic maximal \( L^p \) L p -regularity estimate is established, and a sharp error estimate in the norm \( \Vert {\cdot } \Vert _{L^p(\Omega \times (0,T);L^q({\mathcal {O}}))} \) · L p ( Ω × ( 0 , T ) ; L q ( O ) ) , \( p,q \in [2,\infty ) \) p , q [ 2 , ) , is derived via a duality argument.