IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v118y2019icp242-248.html
   My bibliography  Save this article

Spectral test of the MIXMAX random number generators

Author

Listed:
  • Martirosyan, Narek
  • Savvidy, Konstantin
  • Savvidy, George

Abstract

An important statistical test on the pseudo-random number generators is called the spectral test. The test is aimed at answering the question of distribution of the generated pseudo-random vectors in dimensions d that are larger than the genuine dimension of a generator N. In particular, the default MIXMAX generators have various dimensions: N=8,17,240 and higher. Therefore the spectral test is important to perform in dimensions d > 8 for N=8 generator, d > 17 for N=17 and d > 240 for N=240 generator. These tests have been performed by L’Ecuyer and collaborators. When d > N the vectors of the generated numbers fall into the parallel hyperplanes and the distances between them can be larger than the genuine “resolution” of the MIXMAX generators, which is l=2−61. The aim of this article is to further study the spectral properties of the MIXMAX generators, to investigate the dependence of the spectral properties of the MIXMAX generators as a function of their internal parameters and in particular their dependence on the parameter m. We found that the best spectral properties are realized when m is between 224 and 236, a range which is inclusive of the value of the N=17 generator. We also provide the alternative parameters for the generators, N=8 and N=240 with m in this optimized range.

Suggested Citation

  • Martirosyan, Narek & Savvidy, Konstantin & Savvidy, George, 2019. "Spectral test of the MIXMAX random number generators," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 242-248.
  • Handle: RePEc:eee:chsofr:v:118:y:2019:i:c:p:242-248
    DOI: 10.1016/j.chaos.2018.11.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077918308439
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2018.11.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Savvidy, Konstantin & Savvidy, George, 2016. "Spectrum and entropy of C-systems MIXMAX random number generator," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 33-38.
    2. Savvidy, George & Savvidy, Konstantin, 2018. "Exponential decay of correlations functions in MIXMAX generator of pseudorandom numbers," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 244-250.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Savvidy, George & Savvidy, Konstantin, 2018. "Exponential decay of correlations functions in MIXMAX generator of pseudorandom numbers," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 244-250.
    2. Pierre L’Ecuyer & Paul Wambergue & Erwan Bourceret, 2020. "Spectral Analysis of the MIXMAX Random Number Generators," INFORMS Journal on Computing, INFORMS, vol. 32(1), pages 135-144, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:118:y:2019:i:c:p:242-248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.