Abstract
The Lebesgue integration has been related to polynomial counting complexity in several ways, even when restricted to smooth functions. We prove analogue results for the integration operator associated with the Cantor measure as well as a more general second-order \({{\mathbf {\mathsf{{\#P}}}}} \)-hardness criterion for such operators. We also give a simple criterion for relative polynomial time complexity and obtain a better understanding of the complexity of integration operators using the Lebesgue decomposition theorem.
Supported in part by the Marie Curie International Research Staff Exchange Scheme Fellowship 294962 within the 7th European Community Framework Programme and by the German Research Foundation (DFG) with project Zi 1009/4-1. A SHORT version of this work was presented at CCA 2015.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brattka, V., Gherardi, G.: Weihrauch degrees, omniscience principles and weak computability. J. Symb. Log. 76(1), 143–176 (2011)
Collins, P.: Computable Stochastic Processes (2014). arXiv:1409.4667
Cook, S.A.: Computability and complexity of higher type functions. In: Moschovakis, Y.N. (ed.) Logic from Computer Science. Mathematical Sciences Research Institute Publications, pp. 51–72. Springer, Heidelberg (1991)
Férée, H., Hoyrup, M.: Higher-order complexity in analysis. In: Proceedings 10th International Conference on Computability and Complexity in Analysis (CCA 2013)
Férée, H., Gomaa, W., Hoyrup, M.: Analytical properties of resource-bounded real functionals. J. Complex. 30(5), 647–671 (2014)
Friedman, H.: The computational complexity of maximization and integration. Adv. Math. 53, 80–98 (1984)
Hemaspaandra, L.A., Ogihara, M.: The Complexity Theory Companion. Springer, Heidelberg (2002)
Higuchi, K., Pauly, A.: The degree structure of Weihrauch-reducibility. Log. Methods Comput. Sci. 9(2), 1–17 (2013)
Hoyrup, M., Rojas, C., Weihrauch, K.: Computability of the Radon-Nikodym derivative. Computability 1, 1–11 (2012)
Irwin, R., Kapron, B., Royer, J.: On characterizations of the basic feasible functionals part I. J. Funct. Program. 11, 117–153 (2001)
Kapron, B.M., Cook, S.A.: A new characterization of type-2 feasibility. SIAM J. Comput. 25(1), 117–132 (1996)
Kawamura, A., Cook, S.A.: "Complexity theory for operators in analysis. In: Proceedings of 42nd Annual ACM Symposium on Theory of Computing (STOC 2010), pp. 495–502 (2012). (full version in ACM Transactions in Computation Theory, vol. 4:2 , article 5.)
Kawamura, A., Pauly, A.: Function spaces for second-order polynomial time. In: Beckmann, A., Csuhaj-Varjú, E., Meer, K. (eds.) CiE 2014. LNCS, vol. 8493, pp. 245–254. Springer, Heidelberg (2014)
Kawamura, A.: Computational complexity in analysis and geometry, Dissertation, University of Toronto (2011)
Ko, K.-I.: Computational Complexity of Real Functions. Birkhäuser, Boston (1991)
Kawamura, A., Steinberg, F., Ziegler, M.: Complexity of Laplace’s and Poisson’s Equation, abstract. Bull. Symb. Log. 20(2), 231 (2014). Full version to appear in Logical Methods in Computer Science
Kawamura, A., Steinberg, F., Ziegler, M.: Computational Complexity Theory for classes of integrable functions. In: JAIST Logic Workshop Series (2015)
Mori, T., Tsujii, Y., Yasugi, M.: Computability of probability distributions and characteristic functions. Log. Methods Comput. Sci. 9, 3 (2013)
Schröder, M.: Admissible representations of probability measures. Electron. Notes Theoret. Comput. Sci. 167, 61–78 (2007)
Weihrauch, K.: Computable Analysis. Springer, Heidelberg (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Férée, H., Ziegler, M. (2016). On the Computational Complexity of Positive Linear Functionals on \(\mathcal{C}[0;1]\) . In: Kotsireas, I., Rump, S., Yap, C. (eds) Mathematical Aspects of Computer and Information Sciences. MACIS 2015. Lecture Notes in Computer Science(), vol 9582. Springer, Cham. https://doi.org/10.1007/978-3-319-32859-1_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-32859-1_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32858-4
Online ISBN: 978-3-319-32859-1
eBook Packages: Computer ScienceComputer Science (R0)