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Titlebook: Applied Summability Methods; M. Mursaleen Book 2014 M. Mursaleen 2014 Korovkin approximation theorems.Lambert summability.Lototski summabi

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Summability Methods for Random Variables,Let (..) be a sequence of independent, identically distributed (i.i.d.) random variables with . | .. | < . and .. = ., . = 1, 2, .. Let . = (..) be a Toeplitz matrix, i.e., the conditions (1.3.1)–(1.3.3) of Theorem 1.3.3 are satisfied by the matrix . = (..). Since . the series . converges absolutely with probability one.
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Matrix Summability of Fourier and Walsh-Fourier Series,In this chapter we apply regular and almost regular matrices to find the sum of derived Fourier series, conjugate Fourier series, and Walsh-Fourier series (see [4] and [69]). Recently, Móricz [67] has studied statistical convergence of sequences and series of complex numbers with applications in Fourier analysis and summability.
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https://doi.org/10.1007/978-3-642-80463-2. In [66], Moricz mentioned that Henry Fast first time had heard about this concept from Steinhaus, but in fact it was Antoni Zygmund who proved theorems on the statistical convergence of Fourier series in the first edition of his book [101, pp. 181–188] where he used the term “almost convergence” i
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