article · Logical Methods in Computer Science · 2011
Banach Spaces as Data Types
Cited by 2Open access
Abstract
We introduce the operators "modified limit" and "accumulation" on a Banach space, and we use this to define what we mean by being internally computable over the space. We prove that any externally computable function from a computable metric space to a computable Banach space is internally computable. We motivate the need for internal concepts of computability by observing that the complexity of the set of finite sets of closed balls with a nonempty intersection is not uniformly hyperarithmetical, and thus that approximating an externally computable function is highly complex.
Cite this paper
Normann, D. (2011). Banach Spaces as Data Types. Logical Methods in Computer Science, Volume 7, Issue 2. https://doi.org/10.2168/lmcs-7(2:11)2011
Normann, Dag. “Banach Spaces as Data Types.” Logical Methods in Computer Science, vol. Volume 7, Issue 2, 2011, https://doi.org/10.2168/lmcs-7(2:11)2011.
Normann, Dag. 2011. “Banach Spaces as Data Types.” Logical Methods in Computer Science Volume 7, Issue 2. https://doi.org/10.2168/lmcs-7(2:11)2011.
Normann, D. (2011) ‘Banach Spaces as Data Types’, Logical Methods in Computer Science, Volume 7, Issue 2. Available at: https://doi.org/10.2168/lmcs-7(2:11)2011.
@article{normann2011banach,
title = {{Banach Spaces as Data Types}},
author = {Normann, Dag},
journal = {Logical Methods in Computer Science},
volume = {Volume 7, Issue 2},
year = {2011},
doi = {10.2168/lmcs-7(2:11)2011}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.