Abstract
We show that if μ is a probability measure and X is a Banach space, then the Lebesgue-Bochner space admits an equivalent norm which is rotund (uniformly rotund in every direction, locally uniformly rotund, or midpoint locally uniformly rotund) if X does. We also prove that if X admits a uniformly rotund norm, then the space has an equivalent norm whose restriction to every reflexive subspace is uniformly rotund. This is done via the Luxemburg norm associated to a suitable Orlicz function.
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Published by Heldermann Verlag, 2015. Rights now held by Banach Press LLC.
