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Kolmogorov complexity, pseudorandom generators and statistical models testing.

Result description

An attempt to formalize heuristic concepts like strings (sequence resp.) 'typical' for a probability measure is stated in the paper. Both generating and testing of such strings is considered. Kolmogorov complexity theory is used as a tool. It is shown that no pseudorandom generator can produce long 'typical' strings. The time complexity of pseudorandom generators with oracles capable to recognize 'typical' strings is shown to be at least exponential with respect to the length of the output.

Keywords

Kolmogorov complexitypseudorandom generatorsstatistical models testing

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Kolmogorov complexity, pseudorandom generators and statistical models testing.

  • Original language description

    An attempt to formalize heuristic concepts like strings (sequence resp.) 'typical' for a probability measure is stated in the paper. Both generating and testing of such strings is considered. Kolmogorov complexity theory is used as a tool. It is shown that no pseudorandom generator can produce long 'typical' strings. The time complexity of pseudorandom generators with oracles capable to recognize 'typical' strings is shown to be at least exponential with respect to the length of the output.

  • Czech name

  • Czech description

Classification

  • Type

    Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

Others

  • Publication year

    2002

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Kybernetika

  • ISSN

    0023-5954

  • e-ISSN

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    747-759

  • UT code for WoS article

  • EID of the result in the Scopus database

Basic information

Result type

Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

Jx

CEP

BB - Applied statistics, operational research

Year of implementation

2002