Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
Naturwissenschaften
Physik
Differential Geometrical Theory of Statistics
Page - 444 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 444 - in Differential Geometrical Theory of Statistics

Image of the Page - 444 -

Image of the Page - 444 - in Differential Geometrical Theory of Statistics

Text of the Page - 444 -

Entropy2016,18, 110 • Throughout theentiresetof28 languagesconsidered in [3], thefirst twoparametersareset to the samevalue1,hence for thepurposeofcomparativeanalysiswithin this family,wecanregarda code like theaboveasa twicespoiledcodeC=C′ 1 f1=(C′′ 2 f2) 1 f1whereboth f1 and f2 areconstantequal to1andC′′ ⊂F42 is thecodeobtainedfromtheabovebycancelingthefirst two letters ineachcodeword. • Conversely, we have C′′ = C′ 2 and C′ = C 1, in terms of the second spoiling operation describedabove. • Toillustrate the thirdspoilingoperation,onecansee, for instance, thatC(0,4)={ 1, 3},while C(1,6)={ 2, 3}. 2.4. TheAsymptoticBound Thespoilingoperationsoncodeswereusedin[13] toprovetheexistenceofanasymptoticbound in thespaceofcodeparameters (δ,R), seealso [16,24,25] formoredetailedpropertiesof theasymptotic bound. LetVq⊂ [0,1]2∩Q2 denote thespaceofcodeparameters (δ,R)ofcodesC⊂Fnq andletUqbethe setofall limitpointsofVq. ThesetUq is characterized in [13]as Uq={(δ,R)∈ [0,1]2 |R≤αq(δ)} foracontinuous,monotonicallydecreasingfunctionαq(δ) (theasymptoticbound).Moreover, code parameters lying inUq arerealizedwith infinitemultiplicity,whilecodepoints inVq\(Vq∩Uq)have finitemultiplicityandcorrespondto the isolatedcodes, see [13,16]. Codes lyingabove theasymptoticboundarecodeswhichhaveextremelygoodtransmissionrate andrelativeminimumdistance,henceverydesirable fromthecodingtheoryperspective. The fact that thecorrespondingcodeparametersarenot limitpointsofothercodeparametersandonlyhavefinite multiplicityreflect the fact thatsuchcodesareverydifficult toreachorapproximate. Isolatedcodes areknowntoarise fromalgebro-geometricconstructions, [14,15]. Relatively little is known about the asymptotic bound: the question of the computability of the function αq(δ)was recently addressed in [25] and the relation toKolmogorov complexitywas investigated in [16]. There are explicit upper and lower bounds for the function αq(δ), see [12], includingthePlotkinbound αq(δ)=0, for δ≥ q−1q ; (5) thesingletonbound,which implies thatR=αq(δ) liesbelowthe lineR+δ=1; theHammingbound αq(δ)≤1−Hq(δ2), (6) whereHq(x) is theq-aryShannonentropy x logq(q−1)−x logq(x)−(1−x) logq(1−x) which is theusualShannonentropyforq=2, H2(x)=−x log2(x)−(1−x) log2(1−x). (7) Onealsohasa lowerboundgivenbytheGilbert–Varshamovbound αq(δ)≥1−Hq(δ) (8) 444
back to the  book Differential Geometrical Theory of Statistics"
Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
Frédéric Barbaresco
Frank Nielsen
Editor
MDPI
Location
Basel
Date
2017
Language
English
License
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Size
17.0 x 24.4 cm
Pages
476
Keywords
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
Categories
Naturwissenschaften Physik
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Differential Geometrical Theory of Statistics