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Semi-Gaussian Subspaces

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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

Let M be a subspace (=closed linear manifold) of an L2 space. Then M may or may not have the following property: If {x k } is any orthogonal sequence in M such that \(\sum\nolimits_{k = 1}^\infty {||{x_k}|{|^2} < \infty},\) then the series \(\sum\nolimits_{k = 1}^\infty {{x_k}}\) converges almost everywhere. That is, for orthogonal expansions in M, convergence in the mean implies convergence almost everywhere. If M does have this property, we say that M is semi-Gaussian.

Received by the editors August 18, 1961.

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References

  1. D. L. Burkholder and Y. S. Chow, Iterates of conditional expectation operators, Proc. Amer. Math. Soc. 12 (1961), 490-495.

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  2. Paul R. Halmos, The range of a vector measure, Bull. Amer. Math. Soc. 54 (1948), 416-421.

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  3. D. Menchoff, Sur les series defonctions orthogonales.I, Fund. Math. 4 (1923), 82-105.

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Correspondence to Burgess Davis .

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Davis, B., Song, R. (2011). Semi-Gaussian Subspaces. 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_7

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