<p>In this paper, we study the norm and almost everywhere convergence and divergence questions regarding subsequences of the general matrix-based <i>T</i> means <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12220_2025_2180_Article_IEq1.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="43" /> </InlineMediaObject> <EquationSource Format="TEX">\(\sigma _{n}^{T}(f)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msubsup> <mi>σ</mi> <mrow> <mi>n</mi> </mrow> <mi>T</mi> </msubsup> <mrow> <mo stretchy="false">(</mo> <mi>f</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> of the Walsh-Fourier series. We give sufficient conditions that are in a certain sense optimal for convergence for every integrable function <i>f</i>, namely <Equation ID="Equ25"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="12220_2025_2180_Article_Equ25.gif" Format="GIF" Height="49" Rendition="HTML" Resolution="72" Type="Linedraw" Width="137" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned} \sum _{k=1}^{n}t_{k,n}^{2}=O\left( \frac{1}{n}\right) . \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <munderover> <mo>∑</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msubsup> <mi>t</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>n</mi> </mrow> <mn>2</mn> </msubsup> <mo>=</mo> <mi>O</mi> <mfenced close=")" open="("> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> </mfenced> <mo>.</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>In comparison with previous results in this topic, we do not use the monotonicity of the defining sequences <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="12220_2025_2180_Article_IEq2.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="166" /> </InlineMediaObject> <EquationSource Format="TEX">\((t_{k,n},1\le k\le n, k\in \mathbb {P})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <msub> <mi>t</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>n</mi> </mrow> </msub> <mo>,</mo> <mn>1</mn> <mo>≤</mo> <mi>k</mi> <mo>≤</mo> <mi>n</mi> <mo>,</mo> <mi>k</mi> <mo>∈</mo> <mi mathvariant="double-struck">P</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> of <i>T</i>. The <i>T</i> summation is a common generalization of several well-known summation methods, such as Fejér, Cesàro, Weierstrass, Riesz, Picard and Bessel, and Nörlund summation methods.</p>

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Norm and almost everywhere convergence and divergence of matrix transform means of Walsh-Fourier series

  • István Blahota,
  • György Gát

摘要

In this paper, we study the norm and almost everywhere convergence and divergence questions regarding subsequences of the general matrix-based T means \(\sigma _{n}^{T}(f)\) σ n T ( f ) of the Walsh-Fourier series. We give sufficient conditions that are in a certain sense optimal for convergence for every integrable function f, namely \(\begin{aligned} \sum _{k=1}^{n}t_{k,n}^{2}=O\left( \frac{1}{n}\right) . \end{aligned}\) k = 1 n t k , n 2 = O 1 n . In comparison with previous results in this topic, we do not use the monotonicity of the defining sequences \((t_{k,n},1\le k\le n, k\in \mathbb {P})\) ( t k , n , 1 k n , k P ) of T. The T summation is a common generalization of several well-known summation methods, such as Fejér, Cesàro, Weierstrass, Riesz, Picard and Bessel, and Nörlund summation methods.