Spectral Test of the MIXMAX Random Number Generators
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 def...
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creator | Martirosyan, Narek Savvidy, Konstantin Savvidy, George |
description | 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 $2^{24}$ and $2^{36}$, 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 optimised range. |
doi_str_mv | 10.48550/arxiv.1806.05243 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_1806_05243</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1806_05243</sourcerecordid><originalsourceid>FETCH-arxiv_primary_1806_052433</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMztDAw0zMwNTIx5mQwCS5ITS4pSsxRCEktLlHIT1MoyUhV8PWM8HWMUAhKzEvJz1XwK81NSi1ScE_NSy1KLMkvKuZhYE1LzClO5YXS3Azybq4hzh66YPPjC4oycxOLKuNB9sSD7TEmrAIAuoAxSw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Spectral Test of the MIXMAX Random Number Generators</title><source>arXiv.org</source><creator>Martirosyan, Narek ; Savvidy, Konstantin ; Savvidy, George</creator><creatorcontrib>Martirosyan, Narek ; Savvidy, Konstantin ; Savvidy, George</creatorcontrib><description>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 $2^{24}$ and $2^{36}$, 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 optimised range.</description><identifier>DOI: 10.48550/arxiv.1806.05243</identifier><language>eng</language><subject>Physics - Chaotic Dynamics ; Physics - Computational Physics ; Physics - High Energy Physics - Lattice</subject><creationdate>2018-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1806.05243$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1806.05243$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1016/j.chaos.2018.11.024$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Martirosyan, Narek</creatorcontrib><creatorcontrib>Savvidy, Konstantin</creatorcontrib><creatorcontrib>Savvidy, George</creatorcontrib><title>Spectral Test of the MIXMAX Random Number Generators</title><description>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 $2^{24}$ and $2^{36}$, 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 optimised range.</description><subject>Physics - Chaotic Dynamics</subject><subject>Physics - Computational Physics</subject><subject>Physics - High Energy Physics - Lattice</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMztDAw0zMwNTIx5mQwCS5ITS4pSsxRCEktLlHIT1MoyUhV8PWM8HWMUAhKzEvJz1XwK81NSi1ScE_NSy1KLMkvKuZhYE1LzClO5YXS3Azybq4hzh66YPPjC4oycxOLKuNB9sSD7TEmrAIAuoAxSw</recordid><startdate>20180613</startdate><enddate>20180613</enddate><creator>Martirosyan, Narek</creator><creator>Savvidy, Konstantin</creator><creator>Savvidy, George</creator><scope>ALA</scope><scope>GOX</scope></search><sort><creationdate>20180613</creationdate><title>Spectral Test of the MIXMAX Random Number Generators</title><author>Martirosyan, Narek ; Savvidy, Konstantin ; Savvidy, George</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_1806_052433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Physics - Chaotic Dynamics</topic><topic>Physics - Computational Physics</topic><topic>Physics - High Energy Physics - Lattice</topic><toplevel>online_resources</toplevel><creatorcontrib>Martirosyan, Narek</creatorcontrib><creatorcontrib>Savvidy, Konstantin</creatorcontrib><creatorcontrib>Savvidy, George</creatorcontrib><collection>arXiv Nonlinear Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Martirosyan, Narek</au><au>Savvidy, Konstantin</au><au>Savvidy, George</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spectral Test of the MIXMAX Random Number Generators</atitle><date>2018-06-13</date><risdate>2018</risdate><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 $2^{24}$ and $2^{36}$, 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 optimised range.</abstract><doi>10.48550/arxiv.1806.05243</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Chaotic Dynamics Physics - Computational Physics Physics - High Energy Physics - Lattice |
title | Spectral Test of the MIXMAX Random Number Generators |
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