The Z Transform over Finite Fields

Size: px
Start display at page:

Download "The Z Transform over Finite Fields"

Transcription

1 Iteratoal Telecommucatos Symosum - ITS22, Natal, Brazl The Z Trasform over Fte Felds R M Camello de Souza, H M de Olvera, D Slva Abstract Fte feld trasforms have may alcatos ad, may cases, ca be mlemeted wth a low comutatoal comlexty I ths aer, the Z Trasform over a fte feld s troduced ad some of ts roertes are reseted I INTRODUCTION Dscrete trasforms lay a very mortat role Egeerg Partcularly sgfcat examles are the well kow Dscrete Fourer Trasform (DFT) ad the Z Trasform [], whch have foud may alcatos several areas, secally the feld of Electrcal Egeerg A DFT over fte felds was also defed [2] ad aled as a tool to erform dscrete covolutos usg teger arthmetc Recetly, a dscrete Hartley trasform over fte felds was troduced [], whch has terestg alcatos the felds of dgtal multlexg ad sread sectrum [4], [] I ths aer, the fte feld Z trasform s troduced Earler attemts to deal wth Z trasforms over fte felds cosdered oly fte sequeces of elemets of a Galos feld, a clever stratagem to evade the roblem of seres covergece over a fte algebrac structure [] I order to defe a Z-trasform over a fte feld, we eed to aswer a few questos such as: What s the meag of a comlex varable z defed over a fte feld? How ca we rereset the Fte-Feld Argad- Gauss lae? What about the covergece of fte seres over fte felds? Are there coverget seres? I whch sese? Smle questos such as k : = [ 2 ] (mod 7 ) =? + k : = [ ] (mod 7 ) =? should be addressed I the ext secto some mathematcal relmares are reseted I artcular, gaussa tegers over GF() are defed ad the umodular grou of GF( 2 ) s costructed Secto troduces a reresetato for the comlex Z lae over a Galos feld GF() Ifte sequeces over fte felds are dscussed secto 4, where the roblem of seres covergece s vestgated I secto the fte feld Z trasform s troduced ad some of ts roertes are derved The dscrete-tme fte feld Fourer trasform s also defed The aer closes wth a few cocludg remarks II MATHEMATICAL PRELIMINARIES II Comlex umbers over fte felds The set G() of gaussa tegers over GF() defed below lays a mortat role the deas troduced ths aer (hereafter the symbol := deotes equal by defto) Q, R ad C deote the ratoal, real ad comlex sets, resectvely δ s the Kroecker symbol Defto : G() := {a + b, a, b GF()}, beg a odd rme for whch 2 = - (e, (mod 4)) s a quadratc oresdue GF(), s the set of gaussa tegers over GF() Let deote cartesa roduct It ca be show, as dcated below, that the set G() together wth the oeratos ad defed below, s a feld [7] Proosto : Let : G() G() G() (a +b, a 2 +b 2 ) (a +b ) (a 2 +b 2 ) = =(a +a 2 )+(b +b 2 ), ad : G() G() G() (a +b, a 2 +b 2 ) (a +b ) (a 2 +b 2 )= =(a a 2 -b b 2 ) + (a b 2 +a 2 b ) The structure GI() := < G(),, > s a feld I fact, GI() s somorhc to GF( 2 ) By aalogy wth the comlex umbers, the elemets of GF() ad of GI() are sad to be real ad comlex, resectvely Defto 2: The umodular set of GI(), deoted by G, s the set of elemets ζ=(a+b) GI(), such that a 2 +b 2 (mod ) Proosto 2: ζ ζ a + b (mod ) Proof: ζ = ( a + b) a + b (mod ), oce GI() s somorhc to GF( 2 ), a feld of characterstc Sce =4k+, * =, so that ζ a b(mod = ζ (mod ) Therefore, + * ζ ζζ = ζ a + b (mod ) Proosto : The structure <G, > s a cyclc grou of order (+) Proof: G s closed wth resect to multlcato O the other had, t s a well kow fact that the set of o-zero elemets of GF(), wth the oerato of multlcato, s a cyclc grou of order (-) (deoted here by G) [8] Therefore G s a cyclc subgrou of G ad, from roosto 2, t has order + To determe the elemets of the umodular grou t hels to observe that f ζ=a+b s oe such elemet, the so s every elemet the set Γ={b+a, (-a)+b, b+(-a), a+(-b), (-b)+a, (-a)+(-b), (-b)+(-a)} Examle : Umodular grous of GF(7 2 ) ad GF( 2 ) I each case, table I lsts the elemets of the subgrous G of order 8 ad 2, ad ther orders Deartameto de Eletrôca e Sstemas - CTG - UFPE, CODEC Commucatos Research Grou, CP 78, 7-97, Recfe - PE, Brasl E-mal: {Rcardo, hmo}@dufebr, dalos@hotlkcombr

2 TABLE I ELEMENTS OF G ζ GI(7) Order ζ GI() Order - 2-2, - 4 +, , 2+, +2, + 8, , + 8+, 8+, +, + Fgure llustrates the 2 roots of uty GF( 2 ) Clearly, G s somorhc to C 2, the grou of roer rotatos of a regular dodhecaedro ζ=8+ s a grou geerator corresodg to a couter-clockwse rotato of 2π/2 = o Symbols of the same colour dcate elemets of same order, whch occur cougate ars -8+=+ - +=-8- +8=-+8 -+= =8+ Fgure Roots of uty GF( 2 ) exressed as elemets of GI() II2 Polar Form for Gaussa Itegers a Fte Feld It s a well kow fact that, the usual comlex umber arthmetc, the so-called olar reresetato has may terestg asects that make t very attractve for may alcatos, artcularly whe oeratos such as multlcato ad exoetato are ecessary Keeg that md ad amg to create a reresetato that wll make ossble more effcet mlemetatos of arthmetc modulo, a ew reresetato for the elemets of GI() s troduced ths secto I the defto of GI(), the elemets were wrtte rectagular form ζ=(a+b) I what follows, a dfferet reresetato for the elemets of the multlcatve grou of GI() s roosed, whch allows to wrte them the form rε θ By aalogy wth the cotuum, such a form s sad to be olar Proosto 4: Let G A ad G B be subgrous, of the multlcatve grou G C of the ozero elemets of GI(), of orders N A =(-)/2 ad N B =2(+), resectvely The all ozero elemets of GI() ca be wrtte the form ζ = AB, where A G A ad B G B Proof: Sce G C s a cyclc grou ad both, N A ad N B, are dvsors of 2 -, the the subgrous G A ad G B of GI() do exst Now, the drect roduct (G A G B ) [8] has order 2 -, because, sce s of the form 4k+, the the greatest commo dvsor betwee N A ad N B satsfes GCD(N A,N B )=GCD(2k+,4(2k+2))=; e, (G A G B ) = lcm( G A, G B )=N A N B = 2 - Therefore, (G A G B ) s the multlcatve grou of GI(), ad every elemet of GF() ca be wrtte the form ζ=αβ, α G A, β G B Cosderg that ay elemet of a cyclc grou ca be wrtte as a tegral ower of a grou geerator, t s ossble 2 to set r=α ad ε θ =β, where ε s a geerator of G B The owers ε θ of ths elemet lay, some sese, the role of e θ over the comlex feld Thus, the olar reresetato assumes the desred form, ζ=rε θ Note that 2(+) lays the role of 2π I the above dscusso, t seems clear that r s gog to lay the role of the modulus of ζ Therefore, before further exlorg the olar otato, t s ecessary to defe formally the cocet of modulus of a elemet a fte feld Cosderg the ozero elemets of GF(), t s a well-kow fact that half of them are quadratc resdues of [9] The other half, those that do ot ossess square root, are the quadratc oresdues Lkewse, the feld R of real umbers, the elemets are dvded to ostve ad egatve umbers, whch are, resectvely, those that ossess ad do ot ossess a square root The stadard modulus oerato R always gves a ostve result By aalogy, the modulus oerato GF() s gog to be defed, such that t always results a quadratc resdue of Defto : The modulus of a elemet a GF(), where =4k+, s gve by 2 a, f a (mod a : = a, f a 2 (mod Proosto : The modulus of a elemet of GF() s a quadratc resdue of Proof: Sce =4k+, t mles that (-)/2=2k+, such that ( ( ) (mod By Euler's crtero [9], f ( a a ( (mod, the a s a quadratc resdue of ; f (mod, the a s a quadratc oresdue of ( Therefore, ( a ) ( )( ) (mod, ad t follows that a s a quadratc resdue of Defto 4: The modulus of a elemet a+b GI(), where 2 2 =4k+, s gve by a + b : = a + b The er modulus sg the above exresso s ecessary order to allow the comutato of the square root of the quadratc orm a 2 +b 2, ad the outer oe guaratees that such a oerato results oe value oly I the cotuum, such exresso reduces to the usual orm of a comlex umber, sce both, a 2 +b 2 ad the square root oerato, roduce oly ostve umbers At ths ot t s coveet to substtute the grous G A ad G B deomatos for oes that are more arorate to the olar reresetato Defto : The grou of modulus of GI(), deoted by G r, s the subgrou of order (-)/2 of GI() Defto : The grou of hases of GI(), deoted by G θ, s the subgrou of order 2(+) of GI() Proosto : If ζ=a+b=rε θ, where r G r ad ε θ G θ, the r= ζ Proof: Every elemet of G r has a order that dvdes (-)/2 ( Thus, f r G r, the r (mod, ad r =r Besdes that, as show ext secto, the elemets of the grou G θ are those a+b such that a 2 +b 2 ± (mod ) Therefore, accordg to defto, such elemets have modulus equal to, whch meas that ζ = rε θ = r ε θ =r=r

3 A exresso for the hase θ as a fucto of a ad b ca be foud by ormalsg the elemet ζ (that s, calculatg ζ/r=ε θ ), ad the solvg the dscrete logarthm roblem of ζ/r the base ε over GF() Thus, the coverso rectagular to olar form s ossble The verse oe s doe smly by the exoetato oerato From the above t ca be observed that the olar reresetato beg troduced s cosstet wth the usual olar form defed over the comlex umbers The modulus belogs to GF() (the modulus s a real umber) ad s a quadratc resdue (a ostve umber), ad the exoetal comoet ε θ has modulus oe ad belogs to GI() (e θ also has modulus oe ad belogs to the comlex feld) III THE Z PLANE To defe a Z trasform over a fte feld, t s ecessary frst to establsh what s meat by the comlex Z lae GF() I order to do so, t s ecessary to troduce a secal famly of fte grous Defto 7: The sura-umodular set of GI(), deoted G s, s the set of elemets ζ=(a+b) GI(), such that (a 2 +b 2 ) 2 (mod ) Proosto 7: If ζ=a+b, the ζ 2(+) (a 2 +b 2 ) 2 (mod ) Proof: ζ =(a+b) a + b (mod ), sce GI() s somorhc to GF( 2 ), a feld of characterstc Also, sce =4k+, -, so that ζ a-b (mod ), whch meas that ζ + (a+b)(a-b) (mod ) Therefore, ζ 2(+) (a 2 +b 2 ) 2 (mod ) Proosto 8: The structure <G S,*>, s a cyclc grou of order 2(+), called the sura-umodular grou of GI() Proof: G S s closed wth resect to *, sce that f (a+b) ad (c+d) belog to G S, e, f (a 2 + b 2 ) 2 (c 2 +d 2 ) 2 (mod ), the e+f=(a+b)*(c+d)=(ac-bd)+(ad+bc) So that (e 2 +f 2 ) 2 =(a 2 c 2-2abcd+b 2 d 2 +a 2 d 2 +2abcd+b 2 c 2 ) 2 =((a 2 +b 2 )*(c 2 +d 2 )) 2 =(a 2 +b 2 )*(c 2 +d 2 ) 2 (mod ), whch meas that (e+f) G S Now, G S s a closed subset of a cyclc grou (the multlcatve grou of GI()), therefore G S s a cyclc subgrou Besdes that, from roosto 2, ζ G S satsfes ζ 2(+) (mod ) Thus, ζ s oe of the 2(+)th roots of uty GI() There exsts 2(+) such roots e therefore G S has order 2(+) The elemets ζ=a+b of the sura-umodular grou G S satsfy (a 2 +b 2 ) 2 (mod ), e, a 2 +b 2 ± (mod ), ad all have modulus, as the umodular grou G However, G S has a larger order tha G It s mortat to observe that, due to the fact that a cyclc grou has oly oe subgrou of a gve order [8], G S s recsely the grou of hases G θ troduced defto The roblem of fdg a grou geerator for G S, s dealt wth roosto 9 below Proosto 9: If s a Mersee rme (=2 -, >2), the elemets ζ=a+b such that a 2 +b 2 - (mod ) are the geerators of G S Proof: Let ζ G S have order N Sce a 2 +b 2 - (mod ), N dvdes 2(+)=2 + However, ζ s ot umodular, so that N does ot dvde +=2 Therefore, N=2 + =2(+), ad ζ s a geerator of G S Examle 2: Let =, a Mersee rme, ad ζ=+ From 2 2 defto : r = + 7 (mod ), β of order N, such that N 2, ca be foud takg 2( + ) / N 4 / N β = ε = ε A geerator ε of the sura-umodular must be used to costruct the Z lae over GF() From the owers of ε those elemets that are o the ut crcle are obtaed By multlyg those by the members of the grou of modules, the remag elemets of GI(7) are detfed o other crcles o the Z lae Proosto : I the Z comlex lae over GF() there are 2(+) elemets each crcle Proof: There are as may crcles the Z lae as the order of the grou of modulus G r Therefore, deotg by m the umber of elemets of a gve modulus, t s ossble to wrte m G r = 2 - ad the result follows Examle : The Z lae over GF(7) Let =7, ad ζ=+4 From defto, 2 2 r = (mod 7 ), so that ε=ζ/r=+2 ad a 2 +b 2 = - (mod ) Therefore ε has order 2(+)=, so t s a geerator of the grou G S The Z lae over GF(7) s dected fgure 2 below The ozero elemets of GF(), amely ±,±2,±, are located o the horzotal axs, the rght or left sde, accordg f they are, resectvely, quadratc resdues or quadratc o-resdues of =7 (resectvely, ostve or egatve umbers, the usual comlex Z lae) There are three crcles, of radus,2 ad 4, corresodg to the (-)/2= elemets of the grou of modules G r A smlar stuato occurs for the elemets of GI(7) of the form b (corresodg to magary elemets the cotuous case) The elemets o the ut crcle corresod to the elemets of G S ad are obtaed as owers of ε The eve owers corresod to the elemets of G (a 2 +b 2 (mod 7)) ad the odd owers to the elemets satsfyg a 2 +b 2 - (mod 7) The remag 2 elemets of the Z lae are obtaed smly by multlyg those o the ut crcle by the modulus 2 ad 4 Observe that the elemets o the straght le y=±x over a fte feld also ossesses the usual terretato assocated to tgθ=± Table II relates the ots of fgure 2 wth ther resectve orders as elemets of GI(7) TABLE II THE NUMBER OF ELEMENTS OF A GIVEN ORDER IN THE Z PLANE OVER GF(7) so that ε=ζ/r=2+2 ad a 2 +b 2 = (mod ) Therefore ε has order 2(+)=4 (a geerator) A umodular elemet

4 N N N Fgure 4 Order traectory for ζ=+, a elemet of order N=24 of GI(7), o the Z Plae over GF(7) N 4 Fgure 2 The Z Plae over the Galos Feld GF(7) Whe calculatg the order of a gve elemet, the termedate results geerate a traectory o the Z lae, called the order traectory I artcular, If ζ has order N, the traectory goes through N dstct ots o the Z lae, movg a atter that deeds o N Secfcally, the order traectory touches o every crcle of the Z lae (there are G r of them), order of crescet modulus, always returg to the ut crcle If t starts o a gve radus, say R, t wll vst, couter-clockwse, every radus of the form R+kr, where r=( 2 -)/N ad k=,,2,,n- Examle 4: Table III lsts some elemets ζ GI(7) ad ther orders N Fgures - show the order traectores geerated by ζ TABLE III SOME ELEMENTS AND THEIR ORDERS IN GI(7) N ζ N N Fgure Order traectory for ζ=2, a elemet of order N=2 of GI(7), o the Z Plae over GF(7) N N Fgure Order traectory for ζ=+4, a elemet of order N=48 of GI(7), o the Z Plae over GF(7) IV INFINITE SERIES OVER FINITE FIELDS It s straghtforward to coceve fte sequeces whose elemets belog to a fte feld For stace, gve a sequece of tegers { x[ ]}, t s ossble to geerate a sequece over GF() smly by cosderg { x[ ] ( mod ) } I geeral, x[] may eve be a sequece of ratoal elemets: ay elemet r/s Q ca be maed over GF(), assumg values [r (mod )][s (mod )] - The focus here cocers erodc fte sequeces over a fte feld For stace, cosder the followg rght-sded GF(7)-valued sequeces: Examle : Let ) ) { } = { } = { x[ ]}, x[] GF() For stace: over GF(7), e, { } over GF(7), e, { } We woder whether a Z-trasform of ths sequece ca be de-? fed by = + X ( z ): x[ ]z, z GI() Is ths seres coverget? The ma terest here s the covergece of fte = seres, because mortat trasforms, such as Fourer ad Z trasforms, volve a sum of ftely may terms It s a well kow fact that the fte seres

5 + ( ) = dverges the classcal sese = However, Euler ad others otced that the arthmetc mea of the artal sums coverges to /2 The artal sums of ths seres are S =, S 2 =, S =, S 4 = ad the arthmetc mea σ : = S k forms a sequece (σ ) that coverges to /2 k = Whe a seres coverges the sese that the arthmetc mea of the artal sums coverges, t s sad to be Cesàro-summable (Eresto Cesàro (89-9)) Every coverget seres the usual sese s Cesàro-summable ad the seres sum ( the usual sese) s equal to the lmt of the sequece of the artal sums arthmetc mea That shows the Cesàro summablty cocet s useful, sce t ca make dverget seres summable A (ew) covergece crtero, sutable for seres over fte felds, whch s derved from the Cesàro summablty, s ow troduced Gve { x[ ]}, the artal sums S[] are defed accordg to: S[ ] : = x[ k ] k = Defto 8: The Cesàro sum over a fte feld s defed by σ : = S[ k ], where S[k] GF() are terreted as k = tegers If { x[ ]} s a erodc sequece over GF(), so s { S[ ]} Let P deote the erod of the latter sequece Therefore lm S[ k ] = k= lm / P P S[ k ] + S[ k ] k = k = ( mod P ) The secod term vashes ad lm σ lm / P P = S[ k ] k = lm But / P = P lm P so that S[ k ] = S[ k ] ad fally k = P k = lm σ P (mod S [ k ] (mod P (mod k = The heart of the matter s to take frst the lmt, ad the evaluate the result after reducg t modulo Defto 9: A seres over a fte feld s sad to be Cesàro coverget to σ f ad oly f lm σ σ : = (mod GF() Corollary: Every erodc seres over a fte feld, wth a ozero erod, that s, P (mod ), s Cesàro coverget Examle (Revsted): ) {S[k]}= { }, P= (mod 7) Therefore, σ = ( ) (mod 7 ) Let us ow retur to the seres [ + k k ] (mod 7 ) = + k : = [ ] (mod 7 ) = (mod 7 ) k If we wrte Z over GF(7) ad assume Z=, we fd k = Z +? k (mod 7 ) ( 2 ) (mod 7 ) Ths seres over GF(7) coverges exactly to the Cesàro sum σ! + = ) The seres x [ ] derved from { x [ ] } { } s ot k = coverget over GF(7) Remark that {S[k]}= { }, P (mod 7) ad σ s +? k udefed (ubouded) I ths case, Z = has Z= as k = Z a ole, so that + k dverges over GF(7) Now we are able to k = vestgate the followg: "Gve a erodc sequece { x [ ]} + over GF(), what s the rego of Cesàrocovergece o the Z-Fte-Feld lae for the seres + x [ ]Z, Z GF( 2 )?" = V THE FINITE FIELD Z-TRANSFORM V Basc Sequeces The Z trasform troduced ths aer deals wth sequeces x[], -<<, defed over the Galos feld GF(), whch are obtaed from basc tyes of sequeces: δ[], u[], A(a ) ) The fte feld mulse (Galos mulse), deoted δ[], s the, = sequece x[] defed by x[ ] = δ [ ] : =, As t haes wth real sequeces, ay fte feld sequece x[] ca be exressed as a sum of shfted ad scaled Galos mulses ) The ut ste over GF() (Galos ut ste) s gve by (mod, x [ ] = u[ ] : =, < ) The exoetal sequece s x[]=a(a), A ad a GF() Ths sequece s erodc wth erod P, whch s the multlcatve order of a (mod ) V2 The Z trasform Defto : The fte feld Z trasform (FFZT) of a sequece x[] over GF(), s the GI()-valued fucto = X ( Z ) : x[ ]Z, Z GI() = I the fte seres of the above defto, covergece s cosdered the sese of defto 9 For ay gve sequece, the set of values of Z GI() for whch X(Z) coverges s called the rego of covergece (ROC) A class of mortat ad useful fte feld Z trasform s that for whch X(Z) s a ratoal fucto P(Z)/Q(Z), where P(Z) ad Q(Z) are olyomals Z The roots of P(Z) ad Q(Z) are called the zeros ad oles of X(Z), resectvely For the Z lae over GF(), the ROC of X(Z) corresods to the elemets of GI() that are ot oles of X(Z) Examle : Rght-sded exoetal sequece over GF() Let x[]=a u[], a GF() ad u[] beg the Galos ut ste I ths case, sce x[] s o-zero oly for, X ( Z ) = a u[ ]Z = ( az ) = =

6 Comutg the artal sums: S = S 2 = + az - S = + az - + (az - ) 2 S N- = + az - + (az - ) 2 +(az - ) ++(az - ) N-2 S N = + az - + (az - ) 2 +(az - )++(az - ) N-2 +(az - ) N- Now, deotg by N the multlcatve order of (az - ), the erod of the sequece S[k] s recsely N Therefore, t s ossble N N ) to wrte σ = ( N )( az N =, whch s equal to N ( az ) N σ N = ( az ) Sce (az - ) has multlcatve order N, σ az N = Z N N = a Z, whch s the same N = Z N d Z N d as σ N = ( a Z ) dz, or σ N = ( ( az ) ) dz N = N = After some drect maulato, ths s seem to be equal to σ N =, whch s the desred Z trasform X(Z) The az oly ole of X(Z) s Z=a, so that the ROC s Z a The ROC the fte feld case has a dfferet structure from the ROC of the usual Z-trasform ad, besdes that, there exsts may regos of covergece for a gve aalytcal exresso for X(Z) Evaluatg the FFZT o G s results the dscrete-tme Fourer trasform over GF() Defto : The fte feld dscrete-tme Fourer trasform of a sequece x[] over GF() s the GI()-valued fucto X ( θ + θ ε ) : = x[ ] ε, = where ε G s has multlcatve order 2(+) The above fte feld Fourer trasform s Cesàro-coverget f the ROC of the FFZT X(Z) cludes G s It should be comared wth the revous defto by Pollard [2] V The verse FFZT Lemma : 2 Z = ( ) δ, Z GI ( Proof: For = the summato s clearly equal to 2 - From roosto 4 Z ( r) ( ) Z GI ( r Gr = θ ε θ Gθ But 2( + ) ε θ ε =, ad therefore ε θ G = θ 2( + ) = G G δ Z r θ, Z GI( Theorem : The verse fte feld Z trasform (IFFZT) s x[ ] = X( Z )Z 2 Z GI( Proof: By defto, = X ( Z ) x[ k ]Z k Multlyg k = both sdes by Z ad summg over Z GI(), oe obtas X( Z )Z = ( Z GI( Z GI( k = x[ k ]Z Iterchagg the order of summato, the rght-had sde (RHS) becomes RHS k = x[ k ]( Z k = Z GI( but the er summato, from lemma, s ozero oly for k=, so that RHS = ( 2 )x[ ] ad the result follows It s terestg to observe that, although the drect trasform s a fte summato, defed so to deal wth fte sequeces, the IFFZT requres oly a fte sum over the feld GI() The Z trasform troduced ths aer satsfes most roertes of the usual Z trasform defed over the comlex feld, such as learty, tme-shft, multlcato by exoetal ad so o VI CONCLUSIONS Ths aer dscusses the roblem of costructg a Fte Feld Z Trasform, caable of hadlg fte sequeces over the Galos Feld GF() To deal wth such sequeces, the cocet of Cesàro covergece was used ad t was show that erodc sequeces over GF() coverge to the arthmetc mea of the Cesàro sums of the sequece The Z lae over GF() was costructed ad a Fte Feld Z Trasform (FFZT) was defed A geeral verso formula for the FFZT was determed The fte feld dscrete-tme Fourer trasform was also troduced, whch corresods to the FFZT evaluated o the suramodular grou (the ut crcle) The trasforms troduced here are also able of hadlg fte sequeces ad therefore they are a useful tool to deal wth both FIR ad IIR flters defed over fte algebracal structures REFERENCES [] A V Oehem, R W Schafer e J R Buck, Dscrete-Tme Sgal Processg, Pretce-Hall 999 [2] J M Pollard, The Fast Fourer Trasform a Fte Feld, Math Comut, vol 2, No 4, -74, Ar 97 [] R M Camello de Souza, H M de Olvera ad A N Kauffma, Trgoometry Fte Felds ad a New Hartley Trasform, Proc of the IEEE It Sym o Ifo Theory, 29, Cambrdge, MA, Aug 998 [4] H M de Olvera, R M Camello de Souza ad A N Kauffma, Effcet Multlex for Bad-Lmted Chaels: Galos-Feld Dvso Multle Access, Proceedgs of the 999 Worksho o Codg ad Crytograhy - WCC '99, 2-24, Pars, Ja 999 [] H M de Olvera, R M Camello de Souza, Orthogoal Multlevel Sreadg Sequece Desg, Codg, Commucatos ad Broadcastg, 29-, Eds P Farrell, M Darell ad B Hoary, Research Studes Press / Joh Wley, 2 [] T Cooklev, A Nshhara ad M Sablatash, Theory of Flter baks over Fte Felds, IEEE Asa Pacfc Coferece o Crcuts ad Systems, APCCAS'94, 2-2, 994 [7] R E Blahut, Fast Algorthms for Dgtal Sgal Processg, Addso Wesley, 98 [8] H S Stoe, Dscrete Mathematcal Structures ad ther Alcatos, Scece Research Assocates, 97 [9] DM Burto, Elemetary Number Theory, Ally ad Baco, 97 ), )Z

Factorization of Finite Abelian Groups

Factorization of Finite Abelian Groups Iteratoal Joural of Algebra, Vol 6, 0, o 3, 0-07 Factorzato of Fte Abela Grous Khald Am Uversty of Bahra Deartmet of Mathematcs PO Box 3038 Sakhr, Bahra kamee@uobedubh Abstract If G s a fte abela grou

More information

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory Chael Models wth Memory Chael Models wth Memory Hayder radha Electrcal ad Comuter Egeerg Mchga State Uversty I may ractcal etworkg scearos (cludg the Iteret ad wreless etworks), the uderlyg chaels are

More information

Introducing Sieve of Eratosthenes as a Theorem

Introducing Sieve of Eratosthenes as a Theorem ISSN(Ole 9-8 ISSN (Prt - Iteratoal Joural of Iovatve Research Scece Egeerg ad echolog (A Hgh Imact Factor & UGC Aroved Joural Webste wwwrsetcom Vol Issue 9 Setember Itroducg Seve of Eratosthees as a heorem

More information

On the introductory notes on Artin s Conjecture

On the introductory notes on Artin s Conjecture O the troductory otes o Art s Cojecture The urose of ths ote s to make the surveys [5 ad [6 more accessble to bachelor studets. We rovde some further relmares ad some exercses. We also reset the calculatos

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/2008, pp THE PUBLISHIN HOUSE PROCEEDINS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 9, Number 3/8, THE UNITS IN Stela Corelu ANDRONESCU Uversty of Pteşt, Deartmet of Mathematcs, Târgu Vale

More information

2. Independence and Bernoulli Trials

2. Independence and Bernoulli Trials . Ideedece ad Beroull Trals Ideedece: Evets ad B are deedet f B B. - It s easy to show that, B deedet mles, B;, B are all deedet ars. For examle, ad so that B or B B B B B φ,.e., ad B are deedet evets.,

More information

Computations with large numbers

Computations with large numbers Comutatos wth large umbers Wehu Hog, Det. of Math, Clayto State Uversty, 2 Clayto State lvd, Morrow, G 326, Mgshe Wu, Det. of Mathematcs, Statstcs, ad Comuter Scece, Uversty of Wscos-Stout, Meomoe, WI

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

MATH 371 Homework assignment 1 August 29, 2013

MATH 371 Homework assignment 1 August 29, 2013 MATH 371 Homework assgmet 1 August 29, 2013 1. Prove that f a subset S Z has a smallest elemet the t s uque ( other words, f x s a smallest elemet of S ad y s also a smallest elemet of S the x y). We kow

More information

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018 Chrs Pech Fal Practce CS09 Dec 5, 08 Practce Fal Examato Solutos. Aswer: 4/5 8/7. There are multle ways to obta ths aswer; here are two: The frst commo method s to sum over all ossbltes for the rak of

More information

Random Variables. ECE 313 Probability with Engineering Applications Lecture 8 Professor Ravi K. Iyer University of Illinois

Random Variables. ECE 313 Probability with Engineering Applications Lecture 8 Professor Ravi K. Iyer University of Illinois Radom Varables ECE 313 Probablty wth Egeerg Alcatos Lecture 8 Professor Rav K. Iyer Uversty of Illos Iyer - Lecture 8 ECE 313 Fall 013 Today s Tocs Revew o Radom Varables Cumulatve Dstrbuto Fucto (CDF

More information

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM U.P.B. Sc. Bull., Seres A, Vol. 68, No. 3, 6 COMPUTERISED ALGEBRA USED TO CALCULATE X COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM Z AND Q C.A. MURESAN Autorul

More information

2SLS Estimates ECON In this case, begin with the assumption that E[ i

2SLS Estimates ECON In this case, begin with the assumption that E[ i SLS Estmates ECON 3033 Bll Evas Fall 05 Two-Stage Least Squares (SLS Cosder a stadard lear bvarate regresso model y 0 x. I ths case, beg wth the assumto that E[ x] 0 whch meas that OLS estmates of wll

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

Application of Generating Functions to the Theory of Success Runs

Application of Generating Functions to the Theory of Success Runs Aled Mathematcal Sceces, Vol. 10, 2016, o. 50, 2491-2495 HIKARI Ltd, www.m-hkar.com htt://dx.do.org/10.12988/ams.2016.66197 Alcato of Geeratg Fuctos to the Theory of Success Rus B.M. Bekker, O.A. Ivaov

More information

On the characteristics of partial differential equations

On the characteristics of partial differential equations Sur les caractérstques des équatos au dérvées artelles Bull Soc Math Frace 5 (897) 8- O the characterstcs of artal dfferetal equatos By JULES BEUDON Traslated by D H Delhech I a ote that was reseted to

More information

Two Fuzzy Probability Measures

Two Fuzzy Probability Measures Two Fuzzy robablty Measures Zdeěk Karíšek Isttute of Mathematcs Faculty of Mechacal Egeerg Bro Uversty of Techology Techcká 2 66 69 Bro Czech Reublc e-mal: karsek@umfmevutbrcz Karel Slavíček System dmstrato

More information

On the Rational Valued Characters Table of the

On the Rational Valued Characters Table of the Aled Mathematcal Sceces, Vol., 7, o. 9, 95-9 HIKARI Ltd, www.m-hkar.com htts://do.or/.9/ams.7.7576 O the Ratoal Valued Characters Table of the Grou (Q m C Whe m s a Eve Number Raaa Hassa Abass Deartmet

More information

Quantum Plain and Carry Look-Ahead Adders

Quantum Plain and Carry Look-Ahead Adders Quatum Pla ad Carry Look-Ahead Adders Ka-We Cheg u8984@cc.kfust.edu.tw Che-Cheg Tseg tcc@ccms.kfust.edu.tw Deartmet of Comuter ad Commucato Egeerg, Natoal Kaohsug Frst Uversty of Scece ad Techology, Yechao,

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

EECE 301 Signals & Systems

EECE 301 Signals & Systems EECE 01 Sgals & Systems Prof. Mark Fowler Note Set #9 Computg D-T Covoluto Readg Assgmet: Secto. of Kame ad Heck 1/ Course Flow Dagram The arrows here show coceptual flow betwee deas. Note the parallel

More information

Log1 Contest Round 2 Theta Complex Numbers. 4 points each. 5 points each

Log1 Contest Round 2 Theta Complex Numbers. 4 points each. 5 points each 01 Log1 Cotest Roud Theta Complex Numbers 1 Wrte a b Wrte a b form: 1 5 form: 1 5 4 pots each Wrte a b form: 65 4 4 Evaluate: 65 5 Determe f the followg statemet s always, sometmes, or ever true (you may

More information

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever.

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever. 9.4 Sequeces ad Seres Pre Calculus 9.4 SEQUENCES AND SERIES Learg Targets:. Wrte the terms of a explctly defed sequece.. Wrte the terms of a recursvely defed sequece. 3. Determe whether a sequece s arthmetc,

More information

Minimizing Total Completion Time in a Flow-shop Scheduling Problems with a Single Server

Minimizing Total Completion Time in a Flow-shop Scheduling Problems with a Single Server Joural of Aled Mathematcs & Boformatcs vol. o.3 0 33-38 SSN: 79-660 (rt) 79-6939 (ole) Sceress Ltd 0 Mmzg Total omleto Tme a Flow-sho Schedulg Problems wth a Sgle Server Sh lg ad heg xue-guag Abstract

More information

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties 進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem

More information

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class) Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

Recursive linear estimation for discrete time systems in the presence of different multiplicative observation noises

Recursive linear estimation for discrete time systems in the presence of different multiplicative observation noises Recursve lear estmato for dscrete tme systems the resece of dfferet multlcatve observato oses C. Sáchez Gozález,*,.M. García Muñoz Deartameto de Métodos Cuattatvos ara la Ecoomía y la Emresa, Facultad

More information

Integral Generalized Binomial Coefficients of Multiplicative Functions

Integral Generalized Binomial Coefficients of Multiplicative Functions Uversty of Puget Soud Soud Ideas Summer Research Summer 015 Itegral Geeralzed Bomal Coeffcets of Multlcatve Fuctos Imauel Che hche@ugetsoud.edu Follow ths ad addtoal works at: htt://souddeas.ugetsoud.edu/summer_research

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

Exercises for Square-Congruence Modulo n ver 11

Exercises for Square-Congruence Modulo n ver 11 Exercses for Square-Cogruece Modulo ver Let ad ab,.. Mark True or False. a. 3S 30 b. 3S 90 c. 3S 3 d. 3S 4 e. 4S f. 5S g. 0S 55 h. 8S 57. 9S 58 j. S 76 k. 6S 304 l. 47S 5347. Fd the equvalece classes duced

More information

Laboratory I.10 It All Adds Up

Laboratory I.10 It All Adds Up Laboratory I. It All Adds Up Goals The studet wll work wth Rema sums ad evaluate them usg Derve. The studet wll see applcatos of tegrals as accumulatos of chages. The studet wll revew curve fttg sklls.

More information

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets Modfed ose mlarty Measure betwee Itutostc Fuzzy ets hao-mg wag ad M-he Yag,* Deartmet of led Mathematcs, hese ulture Uversty, Tae, Tawa Deartmet of led Mathematcs, hug Yua hrsta Uversty, hug-l, Tawa msyag@math.cycu.edu.tw

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

18.413: Error Correcting Codes Lab March 2, Lecture 8

18.413: Error Correcting Codes Lab March 2, Lecture 8 18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse

More information

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs Iteratoal Joural of Egeerg Scece Iveto ISSN (Ole): 9 7, ISSN (Prt): 9 7 www.jes.org Volume Issue 0ǁ October. 0 ǁ PP.0-7 K-Eve Edge-Graceful Labelg of Some Cycle Related Grahs Dr. B. Gayathr, S. Kousalya

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

Training Sample Model: Given n observations, [[( Yi, x i the sample model can be expressed as (1) where, zero and variance σ

Training Sample Model: Given n observations, [[( Yi, x i the sample model can be expressed as (1) where, zero and variance σ Stat 74 Estmato for Geeral Lear Model Prof. Goel Broad Outle Geeral Lear Model (GLM): Trag Samle Model: Gve observatos, [[( Y, x ), x = ( x,, xr )], =,,, the samle model ca be exressed as Y = µ ( x, x,,

More information

Lecture 9. Some Useful Discrete Distributions. Some Useful Discrete Distributions. The observations generated by different experiments have

Lecture 9. Some Useful Discrete Distributions. Some Useful Discrete Distributions. The observations generated by different experiments have NM 7 Lecture 9 Some Useful Dscrete Dstrbutos Some Useful Dscrete Dstrbutos The observatos geerated by dfferet eermets have the same geeral tye of behavor. Cosequetly, radom varables assocated wth these

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

Lecture 5: Interpolation. Polynomial interpolation Rational approximation

Lecture 5: Interpolation. Polynomial interpolation Rational approximation Lecture 5: Iterpolato olyomal terpolato Ratoal appromato Coeffcets of the polyomal Iterpolato: Sometme we kow the values of a fucto f for a fte set of pots. Yet we wat to evaluate f for other values perhaps

More information

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n .. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

PTAS for Bin-Packing

PTAS for Bin-Packing CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

More information

On A Two Dimensional Finsler Space Whose Geodesics Are Semi- Elipses and Pair of Straight Lines

On A Two Dimensional Finsler Space Whose Geodesics Are Semi- Elipses and Pair of Straight Lines IOSR Joural of Mathematcs (IOSR-JM) e-issn: 78-578 -ISSN:39-765X Volume 0 Issue Ver VII (Mar-Ar 04) PP 43-5 wwwosrjouralsorg O A Two Dmesoal Fsler Sace Whose Geodescs Are Sem- Elses ad Par of Straght es

More information

Sebastián Martín Ruiz. Applications of Smarandache Function, and Prime and Coprime Functions

Sebastián Martín Ruiz. Applications of Smarandache Function, and Prime and Coprime Functions Sebastá Martí Ruz Alcatos of Saradache Fucto ad Pre ad Core Fuctos 0 C L f L otherwse are core ubers Aerca Research Press Rehoboth 00 Sebastá Martí Ruz Avda. De Regla 43 Choa 550 Cadz Sa Sarada@telele.es

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

The Strong Goldbach Conjecture: Proof for All Even Integers Greater than 362

The Strong Goldbach Conjecture: Proof for All Even Integers Greater than 362 The Strog Goldbach Cojecture: Proof for All Eve Itegers Greater tha 36 Persoal address: Dr. Redha M Bouras 5 Old Frakl Grove Drve Chael Hll, NC 754 PhD Electrcal Egeerg Systems Uversty of Mchga at A Arbor,

More information

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test Fal verso The teral structure of atural umbers oe method for the defto of large prme umbers ad a factorzato test Emmaul Maousos APM Isttute for the Advacemet of Physcs ad Mathematcs 3 Poulou str. 53 Athes

More information

ELEMENTS OF NUMBER THEORY. In the following we will use mainly integers and positive integers. - the set of integers - the set of positive integers

ELEMENTS OF NUMBER THEORY. In the following we will use mainly integers and positive integers. - the set of integers - the set of positive integers ELEMENTS OF NUMBER THEORY I the followg we wll use aly tegers a ostve tegers Ζ = { ± ± ± K} - the set of tegers Ν = { K} - the set of ostve tegers Oeratos o tegers: Ato Each two tegers (ostve tegers) ay

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

IS 709/809: Computational Methods in IS Research. Simple Markovian Queueing Model

IS 709/809: Computational Methods in IS Research. Simple Markovian Queueing Model IS 79/89: Comutatoal Methods IS Research Smle Marova Queueg Model Nrmalya Roy Deartmet of Iformato Systems Uversty of Marylad Baltmore Couty www.umbc.edu Queueg Theory Software QtsPlus software The software

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

Victor Adamchik. Wolfram Research Inc., 100 Trade Center Dr., October 21, 1996

Victor Adamchik. Wolfram Research Inc., 100 Trade Center Dr., October 21, 1996 O Strlg umbers ad Euler sums Vctor Adamch Wolfram Research Ic., Trade Ceter Dr., Chamag, IL 68, USA October, 996 Abstract. I ths aer, we roose the aother yet geeralzato of Strlg umbers of the rst d for

More information

The Primitive Idempotents in

The Primitive Idempotents in Iteratoal Joural of Algebra, Vol, 00, o 5, 3 - The Prmtve Idempotets FC - I Kulvr gh Departmet of Mathematcs, H College r Jwa Nagar (rsa)-5075, Ida kulvrsheora@yahoocom K Arora Departmet of Mathematcs,

More information

Semi-Riemann Metric on. the Tangent Bundle and its Index

Semi-Riemann Metric on. the Tangent Bundle and its Index t J Cotem Math Sceces ol 5 o 3 33-44 Sem-Rema Metrc o the Taet Budle ad ts dex smet Ayha Pamuale Uversty Educato Faculty Dezl Turey ayha@auedutr Erol asar Mers Uversty Art ad Scece Faculty 33343 Mers Turey

More information

Test Paper-II. 1. If sin θ + cos θ = m and sec θ + cosec θ = n, then (a) 2n = m (n 2 1) (b) 2m = n (m 2 1) (c) 2n = m (m 2 1) (d) none of these

Test Paper-II. 1. If sin θ + cos θ = m and sec θ + cosec θ = n, then (a) 2n = m (n 2 1) (b) 2m = n (m 2 1) (c) 2n = m (m 2 1) (d) none of these Test Paer-II. If s θ + cos θ = m ad sec θ + cosec θ =, the = m ( ) m = (m ) = m (m ). If a ABC, cos A = s B, the t s C a osceles tragle a eulateral tragle a rght agled tragle. If cos B = cos ( A+ C), the

More information

4 Inner Product Spaces

4 Inner Product Spaces 11.MH1 LINEAR ALGEBRA Summary Notes 4 Ier Product Spaces Ier product s the abstracto to geeral vector spaces of the famlar dea of the scalar product of two vectors or 3. I what follows, keep these key

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

Complex Numbers Primer

Complex Numbers Primer Complex Numbers Prmer Before I get started o ths let me frst make t clear that ths documet s ot teded to teach you everythg there s to kow about complex umbers. That s a subject that ca (ad does) take

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then Secto 5 Vectors of Radom Varables Whe workg wth several radom varables,,..., to arrage them vector form x, t s ofte coveet We ca the make use of matrx algebra to help us orgaze ad mapulate large umbers

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

02/15/04 INTERESTING FINITE AND INFINITE PRODUCTS FROM SIMPLE ALGEBRAIC IDENTITIES

02/15/04 INTERESTING FINITE AND INFINITE PRODUCTS FROM SIMPLE ALGEBRAIC IDENTITIES 0/5/04 ITERESTIG FIITE AD IFIITE PRODUCTS FROM SIMPLE ALGEBRAIC IDETITIES Thomas J Osler Mathematcs Departmet Rowa Uversty Glassboro J 0808 Osler@rowaedu Itroducto The dfferece of two squares, y = + y

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from

More information

D KL (P Q) := p i ln p i q i

D KL (P Q) := p i ln p i q i Cheroff-Bouds 1 The Geeral Boud Let P 1,, m ) ad Q q 1,, q m ) be two dstrbutos o m elemets, e,, q 0, for 1,, m, ad m 1 m 1 q 1 The Kullback-Lebler dvergece or relatve etroy of P ad Q s defed as m D KL

More information

Algorithms Theory, Solution for Assignment 2

Algorithms Theory, Solution for Assignment 2 Juor-Prof. Dr. Robert Elsässer, Marco Muñz, Phllp Hedegger WS 2009/200 Algorthms Theory, Soluto for Assgmet 2 http://lak.formatk.u-freburg.de/lak_teachg/ws09_0/algo090.php Exercse 2. - Fast Fourer Trasform

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

Minkowski s inequality and sums of squares

Minkowski s inequality and sums of squares Cet Eur J Math 13 014 510-516 DOI: 10478/s11533-013-0346-1 Cetral Euroea Joural of Mathematcs Mows s equalty ad sums of squares Research Artcle Péter E Freel 1, Péter Horváth 1 1 Deartmet of Algebra ad

More information

FACTORIZATION NUMBERS OF FINITE ABELIAN GROUPS. Communicated by Bernhard Amberg. 1. Introduction

FACTORIZATION NUMBERS OF FINITE ABELIAN GROUPS. Communicated by Bernhard Amberg. 1. Introduction Iteratoal Joural of Grou Theory ISSN (rt): 2251-7650, ISSN (o-le): 2251-7669 Vol 2 No 2 (2013), 1-8 c 2013 Uversty of Isfaha wwwtheoryofgrousr wwwuacr FACTORIZATION NUMBERS OF FINITE ABELIAN GROUPS M FARROKHI

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

Multiple Choice Test. Chapter Adequacy of Models for Regression

Multiple Choice Test. Chapter Adequacy of Models for Regression Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Aalyss of Varace ad Desg of Exermets-I MODULE II LECTURE - GENERAL LINEAR HYPOTHESIS AND ANALYSIS OF VARIANCE Dr Shalabh Deartmet of Mathematcs ad Statstcs Ida Isttute of Techology Kaur Tukey s rocedure

More information

ON BIVARIATE GEOMETRIC DISTRIBUTION. K. Jayakumar, D.A. Mundassery 1. INTRODUCTION

ON BIVARIATE GEOMETRIC DISTRIBUTION. K. Jayakumar, D.A. Mundassery 1. INTRODUCTION STATISTICA, ao LXVII, 4, 007 O BIVARIATE GEOMETRIC DISTRIBUTIO ITRODUCTIO Probablty dstrbutos of radom sums of deedetly ad detcally dstrbuted radom varables are maly aled modelg ractcal roblems that deal

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

Overview of the weighting constants and the points where we evaluate the function for The Gaussian quadrature Project two

Overview of the weighting constants and the points where we evaluate the function for The Gaussian quadrature Project two Overvew of the weghtg costats ad the pots where we evaluate the fucto for The Gaussa quadrature Project two By Ashraf Marzouk ChE 505 Fall 005 Departmet of Mechacal Egeerg Uversty of Teessee Koxvlle, TN

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

Newton s Power Flow algorithm

Newton s Power Flow algorithm Power Egeerg - Egll Beedt Hresso ewto s Power Flow algorthm Power Egeerg - Egll Beedt Hresso The ewto s Method of Power Flow 2 Calculatos. For the referece bus #, we set : V = p.u. ad δ = 0 For all other

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

A Primer on Summation Notation George H Olson, Ph. D. Doctoral Program in Educational Leadership Appalachian State University Spring 2010

A Primer on Summation Notation George H Olson, Ph. D. Doctoral Program in Educational Leadership Appalachian State University Spring 2010 Summato Operator A Prmer o Summato otato George H Olso Ph D Doctoral Program Educatoal Leadershp Appalacha State Uversty Sprg 00 The summato operator ( ) {Greek letter captal sgma} s a structo to sum over

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

STK3100 and STK4100 Autumn 2018

STK3100 and STK4100 Autumn 2018 SK3 ad SK4 Autum 8 Geeralzed lear models Part III Covers the followg materal from chaters 4 ad 5: Cofdece tervals by vertg tests Cosder a model wth a sgle arameter β We may obta a ( α% cofdece terval for

More information

The z-transform. LTI System description. Prof. Siripong Potisuk

The z-transform. LTI System description. Prof. Siripong Potisuk The -Trsform Prof. Srpog Potsuk LTI System descrpto Prevous bss fucto: ut smple or DT mpulse The put sequece s represeted s ler combto of shfted DT mpulses. The respose s gve by covoluto sum of the put

More information

Evaluating Polynomials

Evaluating Polynomials Uverst of Nebraska - Lcol DgtalCommos@Uverst of Nebraska - Lcol MAT Exam Expostor Papers Math the Mddle Isttute Partershp 7-7 Evaluatg Polomals Thomas J. Harrgto Uverst of Nebraska-Lcol Follow ths ad addtoal

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

Lebesgue Measure of Generalized Cantor Set

Lebesgue Measure of Generalized Cantor Set Aals of Pure ad Appled Mathematcs Vol., No.,, -8 ISSN: -8X P), -888ole) Publshed o 8 May www.researchmathsc.org Aals of Lebesgue Measure of Geeralzed ator Set Md. Jahurul Islam ad Md. Shahdul Islam Departmet

More information