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Maximal Inequalities as Necessary Conditions for Almost Everywhere Convergence

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Selected Works of Donald L. Burkholder

Part of the book series: Selected Works in Probability and Statistics ((SWPS))

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Abstract

Consider the inequality

$$\mu \left( {T*f >\lambda } \right) \leq K\mathop \smallint \limits_\Omega |f|pd\mu /\lambda p.$$

Here (Ω д μ) is a σ-finite positive measure space \(1 \leq p < \infty,f \in {L_p}\left( {\Omega,\wp,\mu } \right),T*f(\omega) = \sup |{T_n}f\left( \omega \right)|\)where each T n is a bounded linear operator in L p X> 0, \(1 \leq n < \infty \)

This research was supported by the National Science Foundation under grant G 21507.

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Correspondence to Burgess Davis .

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Davis, B., Song, R. (2011). Maximal Inequalities as Necessary Conditions for Almost Everywhere Convergence. In: Davis, B., Song, R. (eds) Selected Works of Donald L. Burkholder. Selected Works in Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7245-3_9

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