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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this article we give a new proof for the characterization theoremof the surjective linear isometries of the space Lp(µ, H) (for 1
📌 3 Key Takeaways
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Objective & Hypothesis:Given an arbitrary positive measure space (X,A, µ) and a Hilbert spaceH.
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Key Findings & Data:Given an arbitrary positive measure space (X,A, µ) and a Hilbert spaceH.
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Conclusion & Impact:In this article we give a new proof for the characterization theoremof the surjective linear isometries of the space Lp(µ, H) (for 1
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Given an arbitrary positive measure space (X,A, µ) and a Hilbert spaceH. In this article we give a new proof for the characterization theoremof the surjective linear isometries of the space Lp(µ, H) (for 1
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Cite This Article
GÜRDAL, M., GÜNTÜRK, B. A., CENGİZ, B. (2022). On norm-preserving isomorphisms of Lp(µ, H). Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 1, 33–41. https://ajindex.com/articles/530025