PATTERNS IN CONTINUED FRACTION EXPANSIONS

Size: px
Start display at page:

Download "PATTERNS IN CONTINUED FRACTION EXPANSIONS"

Transcription

1 PATTERNS IN CONTINUED FRACTION EXPANSIONS A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY SAMUEL WAYNE JUDNICK IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE ADVISOR: PROFESSOR JOHN GREENE MAY 03

2 Smuel Judc 03

3 Cotets Lst of Tbles Chter - Itroducto Defto Cotued Frcto Theorem Fte Cotued Frctos The Cotued Frcto Algorthm 3 Chter Proertes d Imortt Reltos 7 Defto - Covergets 7 Theorem The Fudmetl Proertes 7 Theorem 3 The Exso of d 0 Theorem 4 Ifte Cotued Frctos Theorem 6 Lgrge s Theorem 3 Chter 3 - Aroxmto 5 Theorem 9 Dfferece Betwee d ts Covergets 6 Chter 4 Ptters Cotued Frcto Exsos 8 ( ) Theorem 0 The Exso of ( ) ( ) Theorem The Exso of 5 Theorem 8 Preservg the Prtl Quotets of 40 Theorem 9 Preservg the frst Prtl Quotets of x 4 Chter 5 Future Wor 45 Refereces 49

4 Lst of Tbles Tble 5 Tble 0 Tble 3 Tble 4 44 Tble 5 45 Tble 6 45 Tble 7 46

5 Chter - Itroducto It s well ow tht y rel umber hs uue (or lmost uue) decml exso Sce we do ot tyclly wrte fte strg of zeros dow, these exsos c be ether fte or fte For stce bse 0, 3/5 hs decml exso 4, /3 hs decml exso = 03, d hs decml exso 3459 However, bse 3 the decml exsos of 3/5, /3, d re 000, 0, d 0000 resectvely Notce tht ot oly do the decml exsos chge wth dfferet bses, but lso whether the exso s fte or fte Rel umbers hve other terestg exso clled cotued frcto exso I sese, the cotued frcto exso of rel umber s bse deedet Sce these exsos re gve by lstg oegtve tegers, whe we cosder exsos dfferet bses the oly thg tht chges s how we rereset those tegers Whether or ot the exso s fte or fte does ot chge, eve f we do chge the bse For exmle, bse 0, 3/5 hs cotued frcto exso [,4,6], the exso of /3 s [0,3], d the exso for s[3,7,5,, ] I bse 3, the exsos of 3/5, /3, d re [,,0], [0,0], d [0,,0,, ] These exsos re uue, wth oe exceto Cotued frcto exsos re much dfferet th decml exsos d the exso loe c rovde us wth cosderble mout of formto I ths regrd, reresetg umbers s cotued frctos s more beefcl th usg decml system However, t does hve drwbcs s eve oertos such s ddto re extremely dffcult to erform o two cotued frcto exsos [3, 9-0]To uderstd wht ths exso s, we must frst defe cotued frcto Defto : A exresso of the form () 0 b0 b b 3 where, b re rel or comlex umbers s clled cotued frcto A exresso of the form () 0 3

6 where b for ll, 0 s teger, d 0,,, re ech ostve tegers s clled smle cotued frcto Due to the cumbersome ture of the otto bove, t s more commo to exress () s 0 3 or smly s[ 0,,, 3,] We wll mostly use the ltter of the exressos, d we sometmes refer t to s the cotued frcto exso of umber The terms 0,,, re clled rtl uotets If there re fte umber of rtl uotets, we cll t fte smle cotued frcto, otherwse t s fte I ths er whe we refer to cotued frctos, we relly re referrg to smle cotued frctos, the oly cotued frcto we cosder As exmle of cotued frcto, let s clculte the cotued frcto exso of rtol umber Exmle To fd the cotued frcto exso of 43 9 we c roceed s follows: We c see from ths tht both the lst two exressos mtch exresso () Hece ths exmle shows us tht 43 hs two cotued frcto exsos, [,3,,4] d[,3,,3,] Ths leds us 9 to our frst theorem Theorem [6, 4] Ay fte cotued frcto reresets rtol umber, d y rtol umber c be rereseted s fte cotued frcto Furthermore, ths cotued frcto s uue, rt from the detty[ 0,,,, ] [ 0,,,,,] Although exmle we showed method of clcultg the cotued frcto exso of umber, t would be ce to hve systemtc roch to fdg the exso of y rel umber, ot just rtol oes The cotued frcto lgorthm gves us just tht

7 The Cotued Frcto Algorthm Suose we wsh to fd the cotued frcto exso of x We roceed s follows Let x0 xd set 0 x0 We the defe x x mer; x 0 0 d set x We roceed ths x x x x,, x x, We ether cotue x x deftely, or we sto f we fd vlue x [5, 9-30] To llustrte ths lgorthm, cosder the followg exmle Exmle We shll clculte the cotued frcto exso of Let x0, so 0 The x 603, x , 83 3 x , x Sce x 4 5, we re doe Thus we coclude tht 44 [,,6,4,5] 83 As metoed bove, the cotued frcto lgorthm c be led to rrtol umbers s well As coseuece of Theorem, the lgorthm, whe led to rrtol umber, wll cotue deftely Some rrtol umbers, sure roots for exmle, hve cotued frcto 3

8 exsos tht exhbt ce erodc behvor Other umbers such s e hve evdet tters tht occur ther exsos, d yet others such s hve exsos tht do o ot er to follow y tters Below re some exmles log wth ther cotued frcto exsos 3 [,,,,,,,] [,,] 7 [,,,, 4,,,, 4,,,, 4,] [,,,, 4] e [,,,,, 4,,, 6,,,8,] [3, 7,5,, 9,,,,,,] It s dffcult to rove the bove exsos of or e, however the ext exmle llustrtes tht oe c fd the exso of 3 wth ese Exmle 3 We follow the cotued frcto lgorthm Let x0 3 Sce 3, 0 Now, 3 3 x, 3 x 3 3, 3 3 x3 x 3 3 Sce x3 xths clerly forces x4 x, x5 x,, x x, x x, d so the corresodg rtl uotets lterte betwee d deftely Therefore, 3 [,,] Uses of Cotued Frctos Cotued frctos costtute mjor brch of umber theory becuse they hve my lctos wth the feld Frst of ll, they rovde us wth method to fd the best rtol 4

9 roxmtos of rel umber the sese tht o other rtol wth smller deomtor s better roxmto [3, 6-8] Cotued frctos llow oe to fd solutos of ler Dohte eutos wth ese See [6, 3-46] Also the cotued frcto exso of c be used to fd solutos to Pell s euto, x y For more formto o Pell s Euto d cotued frctos, refer to [] Furthermore, cotued frctos c be ut to use the fctorzto of lrge tegers [5, 46] We c lso me use of cotued frctos to hel rove tht y rme of the form 4 c be exressed uuely s the sum of two sures [6, 3-33] Motvto of our roblem Ths er ws sred by the followg uesto Suose we strt wth some umber x whch hs ow exso [ 0,,,] d we dd to t decresg seuece of ostve vlues r The s the vlue of x r roches x wht hes to the corresodg cotued frcto exso? It turs out tht some terestg tters become evdet To llustrte ths cosder the followg: Exmle 4 Let x 9 whch hs exso[,3,,3,4] Now the followg tble gves 9 the exsos of the umbers for0 Cotued Frcto Exso 0 [, 3,, 0,,,, ] [, 3,, 4,, 5,, ] [, 3,, 7,,, 3,, ] 3 [, 3,, 9,,,,,, 3] 4 [, 3,, 30, 3,,, 3, 5] 5 [, 3,, 30,, 3, 7,, 7] 6 [, 3,, 3, 56] 7 [, 3,, 3, 7,, 3, 4] 5

10 8 [, 3,, 3, 5, 3, 3,, 3] 9 [, 3,, 3, 4,,, 3, 3,, 3] 0 [, 3,, 3, 4, 3,, 3, 3,, 3] [, 3,, 3, 4, 7,, 3, 3,, 3] [, 3,, 3, 4, 5,, 3, 3,, 3] Tble Loog t the tble we see tht the [,3,,] tter ers ech exso d whe 6 ech tter strts wth[,3,,3,], the frst 4 rtl uotets of x For 8, the etre exso of x ers the begg However ths s t the oly terestg thg to me ote of For 9 we lso see tht the oly rtl uotet tht chges s the oe mmedtely followg the 4 whle the rest of the rtl uotets re[,3,3,,3] If we loo t ths orto reverse order, we see tht [3,,3,3,] [3,,3,4] whch exctly mtches ll but the frst term of the exso of x I ths er, we wll loo to other terestg tters tht rse cotued frcto exsos d exl whe recsely ths tter occurs d why t does A rtculrly ce result tht cme bout from ths vestgto c be foud chter 4 It gves ( ) exlctly the cotued frcto exso for rtol umber of the form for ( ) oegtve teger, gve the exso of We use here to me uc ote regrdg the Theorems dscussed ths er The frst e theorems re commoly foud y textboo o cotued frctos Theorems 0 d those tht follow re troduced ths er Tht Theorem 7 exsts, however, s hted t [5, 38] 6

11 Chter - Proertes d Imortt Reltos Oe essetl tool studyg the theory of cotued frctos s the study of the covergets of cotued frcto Defto : Let x [ 0,,,,,] The reduced frctos gve below re clled the covergets of x d re defed by: 0 0, 0 0, 0,, 0 3 Theorem [5, 33] Let 0,,, deote the umertors of the covergets of some umber x whle 0,,, deotes the deomtors Now defe cotued frcto lgorthm The the followg reltos hold 0,, 0 d defe x s the for 0 ( ) for x x x x v x x for 0 Proof We rove () d () Proerty (v) follows drectly from roerty () Proof of (): Ths result follows by mg use of relto () d ducto To estblsh bss for ducto, we use the gve tl vlues to show the relto holds for, 0, d 00 ( ) 7

12 0 ( ) ( ) ( ) Now suose t holds for some teger m 3 The, m m m m ( ) ( ) m m m m m m m m m m m m ( ) m m m m ( ) m by our ducto ssumto ( ) m So t holds for m+ s well Proof of (): Ag we roceed by ducto Recll from the cotued frcto lgorthm tht x0 x d x x x x For 0, x0 x 0 x x 0 x 0 For, 0 0 0x x 0 x 0 0 x 0 x 0x x 0 0 x 0 So the result holds for 0 d Assume t holds for some umber, the we hve 8

13 x x x x x x ( x ) ( x ) ( x ) ( x ) x x x by the ducto ssumto So the result holds for + s well Alyg roerty () of Theorem c gve us effcet wy of clcultg the covergets of cotued frcto f we ow the rtl uotets Exmle 5 demostrtes ths Exmle 5 Cosder 380 [,3,5,7,9] We c clculte the covergets by usg the followg 05 tble: Notce tht f we follow the rrows the dgrm bove, to fd 3 5we multly 7 by d dd 4 Smlrly, to fd 4 05 we multly 9 by 5 d dd 6 to t We c lso use the tble bove to llustrte roertes () d () from Theorem For roerty (), we see tht 3 3 (5) 5(6) To demostrte roerty () for sy, x d x 3, frst observe tht x x0 so x d x Now,

14 39 4 x x d x x The followg s terestg d useful result Theorem 3 [6, 6] If [ 0,,,, ] the [,,, ] for Also f 0 0 the 0 [,,,, ] If 0 0 the for [,, 4, 3, ] Proof Mg use of Theorem () for we hve: For we hve: Now ssume the result holds for some teger m So, m m [ m, m,, ] m m Now, m m m m m m m m m m m 0 m

15 m m m by the ducto ssumto Thus the result holds for m so t holds for by ducto The roof for the [,,,, 0 ] cse s smlr Theorem 4 [6, 70] Every fte cotued frcto[ 0,,,,,] uuely reresets rrtol umber y Coversely, f y s rrtol umber the ts cotued frcto exso s fte It s mortt to ote few thgs regrdg Theorem 4 Frst, s metoed erler, from Theorem we mmedtely ow tht rrtol umber wll hve fte cotued frcto exso Next, we eed to clrfy wht s met whe we sy the exresso [,,,,,] 0 reresets rrtol umber Syg tht y = 0 lm [,,,,,] mes tht y At ths stge, we should rovde some justfcto for ths Frst, observe tht for y oegtve teger, ( ) ( ) By Theorem () ( ) ( ) by Theorem ()

16 I smlr mer, t c be show tht These results tell us tht the eve covergets form cresg seuece whle the odd covergets form decresg seuece Tht s, (3) d Alyg Theorem () for y oegtve teger we lso hve, ( ), (4) so the eve covergets re less th the odd covergets Combg (3) d (4) ow tells us tht: (5) Now the seueces d re both mootoc d bouded, d therefore re coverget Furthermore, they re subseueces of Flly, observe tht lm lm 0 sce s Hece, the seuece Cuchy seuece d therefore coverges to some rrtol umber, sy y s

17 Now sce coverges to y so do d Ths leds us to the followg: Theorem 5 [6, 63] The eve covergets of the cotued frcto exso of y re ll less th y d they form cresg seuece The odd covergets of y re ll greter th y d they form decresg seuece Tht s, y Imortt Remr: Suose s some rel umber d [ 0,,,,,] If we let [,,,,, ] where 0 d f we defe logously to x from the cotued frcto lgorthm, the Theorem () stll holds The roof gve ws deedet of whether x ws rtol or rrtol Tht s, The ushot of ths s tht f we wrte y rel umber s [ 0,,,,, ] the we c stll ly ll the roertes of Theorem just s f were eve though c be y rel umber greter th or eul to We refer to s comlete uotet [5, 3] Theorem 6 (Lgrge s Theorem) [, 44] Ay udrtc rrtol umber hs cotued frcto exso whch s erodc from some ot owrd Coversely, f we strt wth cotued frcto exso tht s evetully erodc, the t reresets udrtc rrtol umber We wll just rovde setch of the roof For more detled roof see [, 44-45] Proof Setch Suose x s rel umber wth cotued frcto exso tht s evetully erodc wth erod legth of l Tht s, x [ 0,,,,,, l] If x [,,, l] the x [ l, l,, l] s well Now by Theorem () we hve, x x x x x l l l l 3

18 It s cler from bove tht x s rrtol d tht x stsfes udrtc euto wth tegrl coeffcets By substtutg udrtc rrtol s well x x from Theorem (v), t becomes evdet tht x s x To rove the coverse, suose tht x s some udrtc rrtol Hece, x stsfes the udrtc euto Ax Bx C 0, x for some tegers A, B, d C Oce g by Theorem rts () d (v), x x for 0 d x euto x x Thus x s udrtc rrtol s well d so t stsfes the A x B x C 0, where the tegers A, B,d resectvely From here, t c be show tht A, B, d C re ech defed terms of the tegers A, B, d C C re ll bouded by some costt, sy m, deedet of Therefore, there c oly be fte umber of dfferet trles A, B, C, d hece we c fd 3 dstct dces, sy,,d, 3 such tht A, B, C A, B, C A, B, C So x, x, d x 3 re three roots of the udrtc euto corresodg to ths trle, whch mes tht two of them must be the sme Sce s determed drectly from x, f ot o x x sy, the ts exso must be erodc from tht 4

19 Chter 3 Aroxmto It s ofte very rctcl to roxmte rrtol umbers wth rtol umbers It s cler tht gve y rrtol umber, we c roxmte t wth rtol umber to y desred ccurcy The more ccurte roxmto we desre, the lrger the deomtor of the rtol must be The covergets of cotued frcto rovde us wth method to fd rtol umbers tht roxmte rrtol umbers whle hvg s smll deomtor s ossble I fct, o other rtol umbers wth smller deomtors c roxmte rrtol umbers better th ts covergets For exmle, cosder whch hs exso[3,7,5,,9,,,,,,] We c esly fd tht mtches the frst 7 dgts of the decml exso of However, f we loo t the covergets 355 of we see tht oe of them s [3, 7,5,] whch hs decml exso whch s ctully ot oly better roxmto for but lso hs deomtor tht s gret del smller No rtol umber wth deomtor smller th 3 c rovde better roxmto to I ths er, we vestgte uttes of the form r Whe r hes to be rrtol, we c use the roxmto roertes of the covergets of r to hel ssst us studyg the cotued frcto exso of r Some clssc theorems o cotued frctos d roxmto re gve below If you wsh to ler more bout roxmto usg cotued frctos, see [4] or [, 54-76] Theorem 7 [6, 7] Let y be rrtol umber d, The be successve covergets of y y y Furthermore, t lest oe, sy, stsfes the eulty: 5

20 y Corollry If x s rrtol, the there exsts fte umber of rtols such tht x The ext theorem s extremely terestg d somewht surrsg, s t tells us tht f rtol umber roxmtes rrtol umber well eough, the t must be oe of ts covergets Theorem 8 [5, 37-38] For y rel umber, f The s ecessrly oe of the covergets of the cotued frcto exsos of The followg theorem gves uer d lower bouds o the dstce betwee rrtol umber d y of ts covergets Theorem 9 [5, 37] If s rrtol the for y 0, ( ) Proof Let [ 0,,,, ] where [,,] The by Theorem rts () d () we hve, d so ( ) ( ) ( ) Now observe tht 6

21 ( ), d lso tht ( ) ( ) Ths comletes the roof Corollry [5, 37] If s rrtol the, 7

22 Chter 4 - Ptters Cotued Frcto Exsos As revously metoed, the gol of ths er s to vestgte how the cotued frcto exso of r chges s the vlue of r chges We beg ths chter by vestgtg the cotued frcto exsos of vrous fte seres Let s frst cosder the smle geometrc seres 3 0 where s teger greter th The rto of terms ths seres s so we ow ths seres coverges to I the ext exmle we show how the cotued frcto exsos of the rtl sums c be used to derve ths Exmle 6 The frst two rtl sums of let s fd the exso of clerly hve exsos [] d [, ] 0 Now, ( )( ) [,, ] I the sme mer, we shll ow fd the exso of the thus rtl sum, where 3 Observe tht, th 0 8

23 ( )( ) (6) Therefore, Sce [,, ] 0 coverges to 0 s, from (6) we see tht the smle geometrc seres, s exected It s useful to ote tht exmle 6 we used ute obvous but useful fct tht geerl, lm [,,,, m] [,,, ] m 0 0 I the ext exmle, we cosder the exso of the seres 3, for secfc vlues of d Although the exso of ths seres hs smlrtes to the oe bove, the term comlctes thgs Exmle 7 Suose of the seres 9 [0,3,5, 6, 4] The followg tble gves the frst 5 rtl sums 4 9

24 Cotued Frcto Exso [0, 3, 5, 6, 5, 3, 6, 5, 3] 3 [0, 3, 5, 6, 5, 3, 8, 3, 5,,,,, 4, 3] 4 [0, 3, 5, 6, 5, 3, 8, 3, 6607,,,,, 4, 3] 5 [0, 3, 5, 6, 5, 3, 8, 3, 75,,,,, 4, 3] 6 [0, 3, 5, 6, 5, 3, 8, 3, ,,,,, 4, 3] Tble We see tht the exso becomes fxed excet for oe rtl uotet whe 3 The ofxed rtl uotets re 5, 6607, 75, d Observe tht: 5 6(), (4 ), 75 6(4 4 ), (4 4 4 ) From ths we see tht the o-fxed rtl uotet corresodg to the th rtl sum( 3 ) 3 tes the form 6 We c use the formto from Tble to tell us wht the seres 0 goes to fty Thus, coverges to Smlr to exmle 6, the o-fxed rtl uotets go to fty s 355 coverges to[ 0,3,5, 6,5,3,8,3] As metoed 4333 ror to exmle 7, the exsos tht er Tble re much more dffcult to redct th the exsos tht er the rtl sums of geometrc seres However bsed o severl exmles, we were ble to me some cojectures tht redct cert tters tht wll er We me o ttemt to rove these ths er, but they er Chter 5 I exmle 4, we geerted tble of cotued frcto exsos for umbers of the form 9 for0 We oted rtculr tter tht occurred for vlues of 9 where oly sgle rtl uotet chged Prt of the tble s gve g below 0

25 Cotued Frcto Exso 8 [, 3,, 3, 5, 3, 3,, 3] 9 [, 3,, 3, 4,,, 3, 3,, 3] 0 [, 3,, 3, 4, 3,, 3, 3,, 3] [, 3,, 3, 4, 7,, 3, 3,, 3] [, 3,, 3, 4, 5,, 3, 3,, 3] Tble 3 A secto of the tble revels tht the tter of terest occurs t the ext teger fter 8, 9 the sure of the deomtor of our orgl umber, A cler tter s lso evdet the oly o-fxed uotets of the exsos, e, 3, 7, d 5 They re ll of the form where s the dfferece betwee d 8 Ths s ot true geerl Tht s, f we costructed smlr tble wth dfferet tl umber, the o-fxed uotets my ot hve the form However, the lest commo deomtor of our orgl umber, x, s 9 d so ts sure s Whe for stce, the deomtor of the resultg umber s ( ) whch s 8 multles of 8, whle the o-fxed rtl uotet s8 7 Ths s ctully the ey to the vlue of the o-fxed term geerl s we see the followg theorem Theorem 0 Suose [ o,,,, ] where d The for, ( ) [ o,,,,,,,,,,,, ] ( ) d ( ) [ o,,,,,,,,,,,, ] ( ) Proof: Sce cotued frcto exsos re uue, cosder the followg cses

26 Cse : Suose x [ o,,,,,,,,,, ], we wll show tht x ( ) ecessrly c be wrtte the form Observe tht the frst covergets of ( ) d x re exctly the sme, so x [,,,,, ] where o [,,,,,, ] for re ll covergets of x Now suose Sce [ o,,,, ], by Theorem 3, [,, ] Hece, Now sce x, by substtuto we get the followg:

27 x ( ) ( ) ( ) ( ) ( ) ( ) By Theorem () ( ) ( ) ( ) ( ) ( ) ( ) Cse : Now let y [ o,,,,,,,,,, ] We ow show tht y c be ( ) wrtte the form Ths tme let the covergets of ( ) be deoted by for whle we deote the covergets of y by Notce tht from the exso of y, ' ' for, ' ' ' d ', d ' d ' We c esly clculte ' d ' : ( ) d smlrly, ' ' Now g let s suose o y [,,,,,, ] where [,,,, ] The, g usg Theorem 3 we hve:, whch mles 3

28 ' ' Oce g we use substtuto to the euto y ' ' d we get: y ( ) ( ) ( ) By Theorem () ( ) ( ) ( ) ( ) From the roof of Theorem 0, we see tht the exso chges bsed o whether s eve or odd The followg corollres tell us exctly how ech cse lys out Corollry Whe s eve, [,,,,,,,,,,,, ] ( ) o [,,,,,,,,,,,, ] ( ) o Corollry Whe s odd, [,,,,,,,,,,,, ] ( ) o 4

29 [,,,,,,,,,,,, ] ( ) o Theorem 0 tells how the exsos of rtol umbers chge s we dd d subtrct tegrl multles of However, t does ot tell us wht hes whe tht multle s The ext theorem tes cre of tht Theorem Suose [ 0,,, ] where, 0,d The, ( ) [ o,,,,,,,,,, ] d ( ) [ o,,,,,,,,,, ] Proof: We roceed the sme mer s the roof of Theorem 0 x [,,,,,,,,,, ] We the ote tht the Cse : Suose o covergets of x d re the sme u through Let s deote the th coverget of x by ' The we see from Theorem () tht ' ' ' Now f x [ 0,,,,, ] ( ) Smlrly, where [,,, ] the by Theorem 3 5

30 ' ( ) By Theorem (), x ' ( ) d substtutg we get: ( ) ( ) x ( ) ( ) ( )( ) ( )( ) ( ) ( ) by Theorem () ( ) ( ) Cse : Suose y [ o,,,,,, ] where [,,,, ] Ths tme, ( ) d so ' ' Thus, by Theorems d 3,, d so ( ) y ' ' ( ) Substtuto the yelds, y ( ) ( ) 6

31 ( )( ) ( ) ( )( ) ( ) By Theorem () ( ) Corollry Whe s eve, [ o,,,,,,,,,, ], [ o,,,,,,,,,, ] Corollry Whe s odd, [ o,,,,,,,,,, ], [ o,,,,,,,,,, ] To hel clrfy Theorems 0 d let s cosder some exmles Exmle 8 Suose 79 [,3,4,5,7,] [,3,4,5,8] 557 Sce s eve, from Theorem we c coclude wthout y comutto tht 79 [,3, 4,5,9,7,5, 4,3]

32 Ag, we do t eed to do y comutto to see tht from Theorem 0 whe 7, (7 )557 [,3, 4,5,8, 7,,7,5, 4,3] So fr ths er we hve strted wth the cotued frcto exso of d the observed how the cotued frcto exso of r chged s we ced vrous vlues for r However, sometmes we strt wth cert form of cotued frcto exso, d fd out wht vlue of r would corresod to ths exso For stce, loog t Theorems 0 d, we see tht the exsos gve re very close to beg ldrome A ldrome s word, hrse, or umber tht s the sme red bcwrds d forwrds, such s 3 or wow These exsos led to the followg uesto If we gore the frst rtl uotet, for wht vlue of r does the exresso r Tht s, exso of the form 0 [,,,,,,,, ] or 0 hve cotued frcto exso whch s ldrome? [,,,,,,, ] [,,,,,, ], 0, for some ostve teger Ths uesto s ot dffcult to swer usg the sme techue used for the roofs of Theorem 0 d It turs out tht to fd ths vlue of r we eed to ow wht s Theorem Suose 0 [,,,, ] where The ( ) [ 0,,,,,,,,, ] ( ) Proof Let x [ 0,,,,, x ] where x [,,,, ] The, x by Theorem 3 8

33 Now by Theorem () d substtuto, x x x ( ) ( ) ( ) Now observe tht x ( ) ( ) ( ) ( ) ( ) ( ) ( ) by Theorem () ( ) Therefore, [ 0,,,,,,,,, ] ( ) s desred Theorem 3 Suose 0 [,,,, ] where The ( ) [ 0,,,,,,,, ] ( ) Proof Oce g let x [ 0,,,,, x ] where x [,,, ] The by Theorem 3, x By Theorem (), 9

34 x x x so tht ( ) ( ) x ( ) ( ) ( ) ( ) ( ) ( ) by Theorem () ( ) We ow see tht [ 0,,,,,,,, ] ( ) Theorem 4 Suose 0 [,,,, ] where The ( ) [ 0,,,,,,, ] ( ) Proof Let x [ 0,,,,, x ] so tht The by Theorem () we hve, x [,,, ] by Theorem 3 30

35 x x x Thus, x ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) by Theorem () Therefore, ( ) [ 0,,,,,,, ] ( ) s desred Although Theorems, 3, d 4 hve cotued frcto exsos tht re more lesg to the eye th the exsos gve Theorems 0 d, the ext exmle shows tht they re ot s turl I order to ly Theorems, 3, d 4, we eed to ow the vlues of d sometmes Exmle 9 Notce tht [3,,5,7,8] [3,,5,7,7,] To roceed, we must frst c oe 643 of these exsos tht we desre to wor wth Let s wor wth [3,,5,7,7,] ths tme We strt by observg tht sce 5 s the lst term, 5 Next we fd 5 The 4 3

36 covergets of 643 whe 3 we see tht re,,,,, d so Thus by Theorem 5 ( ) [3,,5,7,7,,3,,7,7,5, ] ( ) By Theorem 3, 5 ( ) ( ) [3,,5,7,7,,,7,7,5,] Flly by Theorem 4, 5 ( ) 79 [3,,5,7,7,,7,7,5,] (643 79) There s ctully secfc cse where Theorems d 3 c be thought of s beg just s turl s Theorems 0 d If [0,,, ] d [,, ] s ldrome, the t follows tht To see ths, let x [,,, ] so tht 3 0, d thus x x Usg ths d the fct tht x s ldrome, Theorem 3 tells us x [,,, ] d hece,, gvg Therefore we c relce ech wth thus elmtg the eed to fd the covergets to ly these theorems I fct, oe could ccomlsh ths by frst lyg oe of the Theorems, 3, or 4 to rtol umber less th From there, the umertor of the resultg rtol umber would serve s llustrted the ext exmle Exmle 0 Suose 4 x [0,3, 4] We frst ly Theorem 3 so tht the rtl uotets 3 fter the frst become ldrome Dog so gves 4 3 [0,3, 4, 4,3] (3 3 ) 78 Next, we wll ly Theorem wth 4 to Sce the cotued frcto

37 exso of meets the codtos metoed bove, we ow tht Thus 55 [0,3,4,4,3,4,3,4,4,3], whch g hs exso wth the 78 78( ) form zero followed by ldrome Theorems 0 d hve some terestg lctos regrdg fte seres I rtculr, we wll show tht cert tyes of fte seres coverge to rrtol umber by observg tht ther cotued frcto exsos re fte However, we wll frst wt to defe some tools to d us the roof We strt by defg fucto, L, o the rel umbers If x, the Lx ( ) s eul to the umber rtl uotets the cotued frcto exso of x whe the lst rtl uotet s ot eul to oe We sy Lx ( ) f x s rrtol Tht s, f, L([,,,, ]) 0 d L([,,,]) 0 For exmle, f x [3,, 5, 7, ] [3,, 5, 7,,] the Lx ( ) 5 If y, the Ly ( ) Next, we shll defe the vector V Suose r [ o,,,,, ], The V wll rereset ll the rtl uotets of r excet the frst two d the lst Tht s, V [,, ] R R Now let s deote the reverse of V by V Tht s, V [,,, ] It s mortt to R lso ote tht L( V ) L( V ) We wll ow use these tools to rove the followg theorem 33

38 Theorem 5 Let be ozero rtol umber The the fte seres to rrtol umber Furthermore, ths rrtol umber s ot udrtc rrtol Proof: Suose o [,,,, ] where coverges d s eve (The cse where s odd s [,, V, ] R very smlr) Now let V0 (, 3,, ) so V0 (,, ) d thus o 0 We ow tht 0 L V0 d L 0 By Theorem, [,,,,,, ] R o V0 V0 R Now let V V0,,, V0 so tht [ 0,, V, ] Note t ths stge, f the the fl rtl uotet of would be coverted to Ths would oly force us to use the secod Corollry of Theorem 0 sted of the frst The roof would be erly detcl Cotug o we see tht, 0 L V L V ( ), d so L 3 Oce g by Theorem, [,,,,,, ] R 0 V V so tht R Defe V V,,, V [,, V, ] Hece, 0 34

39 L V L V ( ) d L 3 Suose we cotue to defe V3, V4,, V s we dd bove Tht s, V0 (, 3,, ) R V j Vj,,, Vj for j 0 We shll ow rove by ducto tht for ech 0 the followg holds: L V, d d L We hve lredy show tht t holds for 0,, Suose t holds for ech of the tegers from 0 u to some teger 3 m 0 Vm R m The Vm Vm,,, Vm d [,,, ] By our ducto ssumto, m m L V d L m m m R Oce g from Theorem 0 we ow [ 0,, Vm,,, Vm, ] Sce m R V m Vm,,, Vm t follows tht [ 0,, Vm, ] So, m m m m L V L V ( ) d L m m 3 m 35

40 Hece, the result holds for ech teger 0 Ths shows us tht Therefore, we c coclude tht L s coverges to rrtol umber by Theorem 4 Also, sce ths fte cotued frcto exso s clerly ot erodc, Theorem 6 tells us tht the rrtol umber whch the seres coverges to cot be udrtc rrtol ( ) Usg Theorems 0 d, we ow the recse form of the exso of for y ostve teger I smlr mer to Theorem, we could use ths owledge to rove tht y fte seres of the form coverges to rrtol umber b where To see Theorem 5 cto, cosder the followg exmle b s y seuece wth b b for ll Exmle Cosder the seres 4 for some teger Usg 0 Theorem 0, we c clculte the cotued frcto exsos of the frst severl rtl sums of ths seres wthout dog y comutto They re gve below (7) 0 [0, ], [0,, ], [0,,,, ], (8) 3 0 [0,,,,,,,, ], (9) 4 0 [0,,,,,,,,,,,,,,,, ] From (7) we see tht the frst rtl sum hs two rtl uotets d hece we ly the odd cse of the corollry of Theorem We the see tht 36

41 L 3 d L 3 5 so we swtch to the eve cse of the corollry 0 0 d from the o we cotue to use ths cse (8) shows us tht 3 L 5 9 d 0 from (9) we see tht 4 L From these clcultos, t s ret tht L d hece 0 0 coverges to rrtol umber ( ) I the ext exmle we cosder the seres d show tht t coverges to rrtol umber smlr to the revous exmle However, ths tme we ly Theorem 0 to fd the exso of the rtl sums Ths yelds more terestg tter the exso Exmle By lyg Theorem 9 to the rtl sums of the seres followg: 0 3 ( ) we get the (0) 0 ( ) ( ) ( ) 3 [0,3], 3 [0,,,,3], 3 [0,,,,3,,,,,, ] () 3 0 ( ) 3 [0,,,,3,,,,,,,,,,,,,,,3,,,], () 4 ( ) 3 [0,,,,3,,,,,,,,,,,,,,,3,,,,,,,,,3,,,,,,,,,,,,,,,3,,,] 0 We frst ly the odd cse of Theorem 0 to get the secod exso (0) Sce ( )(3 ) our vlue of Theorem 0 s Note tht the clculto of ech successve rtl sum the vlue of we re usg s For exmle let s loo t how we go from the secod exso to the thrd exso (0) The rtol umber rereseted by the thrd 37

42 exso s 3 7 If we th of Theorem 9 s the 3 3 d hece we re ddg ( ) to t It s ot dffcult to see tht ths s the cse for ech rtl sum d hece why we get the exsos (0), (), d () Oce g we see tht the legth of these exsos s clerly gog to fty so ( ) 3 reresets rrtol umber 0 Let us oce g refer bc to the exmle 4 We strted wth the rtol umber x 9 whch hs exso[,3,,3,4] Observe tht Tble, oly oce ws greter th 8 dd ech exso strt wth[,3,,3,4,], the etre exso of x The ext few theorems swer the uestos of exctly wht vlue eeds to be dded to x order for ths to occur It turs out tht the swer to ths uesto deeds o the - st coverget d oce g the rty of Theorem 6 If x [ 0,,,, x ] d we th of x s fucto f( x ), deedg o x the o the tervl, we hve f( x ) s A cotuous mootoclly decresg fucto whe s eve A cotuous mootoclly cresg fucto whe s odd Proof: We hve, ( x ) ( x ) F ( x ) ' ( x ) ( x ) (3) ( ) ( x ) by Theorem () 38

43 From (3) t s ow cler tht whe s eve F s lwys egtve d whe s odd F s lwys ostve, thus the result follows Theorem 7 Suose [ 0,,, ] The the tervl o the rel le wth cotued frcto exso of the form [ 0,,,, b, b,] where b s ostve teger for ech s:, f s odd, f s eve Proof: Suose f ( x) [ 0,,,, x] where x [ b, b,] The f hs dom, d by Theorem 3 f s cresg fucto whe s odd d decresg fucto whe s eve By Theorem (), x f( x) x Sce f () d lm f( x), x the result follows Note tht Theorem 7, ths s oe of the rre cses where we do t ut the restrcto tht So oe hs to choose crefully f the desred form of the exso hs or ot Sce [ 0,,,,] s eul to but hs oe more coverget d rtl uotet th 39

44 [,,, ] ; t must be uderstood wht the rty of s d wht the vlues of the 0 covergets d re, s they re dfferet deedg o wht your desred form s Mg use of Theorem 7 leds us the to the followg theorem, whch ow swers the uesto of wht uttes we eed to dd to rtol umber order to reserve ll or most of ts rtl uotets Theorem 8 Suose [ 0,,,, ] the ( ) r where 0 r hs ( ) cotued frcto exso of the form[ 0,,,,, b, b,] Proof: From Theorem 7, we ow tht order for the exso of desred form, we eed ( ) r to hve the (4) ( ) r, f s odd, f s eve Observe tht ( ), By Theorem () ( ) ( ) Hece, (5) ( ) ( ) Sce s the uer or lower boud o the tervls bove, we see from (4) d (5) tht y r such tht 0 r wll hve the desred exso form ( ) 40

45 I vestgtg uttes of the form r for smll vlues of r gve tht [ 0,,, ] we c see from (4) tht whe s odd, ddg y ostve umber r, o mtter how smll, wll result exso tht does ot reserve every rtl uotet of However, recll tht y rtol umber hs recsely two exsos Tht s, f the [,,, ] [,,,,] Wth roer re-dexg ths ow chges the rty of d 0 0 ddg smll eough uttes to ths wll ow reserve every rtl uotet From ths comes bout the followg corollry to Theorem 7 Corollry Suose [ 0,,,, ] where The tervl o the rel le wth cotued frcto exso of the form [ 0,,,,,, b, b 3,] s, whe s odd, whe s eve Also, ( ) s where 0 s ( ) wll hve cotued frcto exso of the form [,,,,,, b, b,] 0 3 We c get other ce result by observg tht sce, t follows tht ( ) We use ths to gve corollry to Theorem 8 4

46 Corollry Suose [ 0,,, ] Now c, f ecessry, so tht s eve The, r b [ 0,,,,,] f 0 r, the r [ 0,,,, b,] f r 0 If sted we choose the exso wth odd Notce tht Theorem 8 we strted wth rtol umber d gve the rel umber r so tht ( ) r hd cotued frcto exso whch strted wth the etre cotued frcto exso of Ths begs the uesto of wht hes f we relce wth some rrtol umber x I ths cse x hs fte cotued frcto exso so the exso of x rclerly cot beg wth the etre exso of x We sted s for wht vlues of r wll the cotued frcto exsos of x d x rhve the sme frst rtl uotets? Tht s, for wht vlues of r does x [ 0,,,,,,] d x r [ 0,,,, b, b,]? To fd recse swer we c use Theorem 7, however, the Theorem below gves cer result Theorem 9 Suose the rrtol umber x hs cotued frcto exso of the form [ 0,,,,,,] where The the cotued frcto exso of x ( ) r where r 3 wll hve exso of the form[ 0,,,,, b,] Proof: We rove the cse where s eve Accordg to Theorem 7 we ow tht, sce s eve, we eed to rove tht xr, x () x It s cler tht x x Let x [ 0,,,,, x ] so by Theorem r so we just eed to show tht x x r, or r x 4

47 Observe tht x ( ) x ( ) x ( x )( ) x ( x )( ) by Theorem () x Now the fucto defed by f( x ) s mootoclly cresg o ( x )( ) the tervl, d therefore tes o mmum vlue t f () 0 However, sce we reure the x The f () 3 wor d so clerly y r smller wll lso Corollry If x s rrtol umber d hs exso of the form [ 0,,,,,,] where, the x ( ) r wll hve exso of the form [ 0,,,,, b,] r 6 f Exmle 3 Suose 5 x [,,3,,3,,3,] [,,3] d we wsh to dd some utty r so s to reserve the frst 5 rtl uotets of x We fd tht 4 55, d 3 6, so r 4 ( ) Now the frst 7 rtl uotets of x r [,,3,,3,,, ] If we sted c slghtly lrger vlue of r such s the the frst 7 rtl uotets of x r re [,,3,,4,,, ] Notce tht ths tme the frst 5 rtl uotets of r re ot reserved re The result gve Theorem 9 s ot otml, sce the otml vlue for such r to reserve the frst rtl uotets would smly be foud by usg Theorem 7 d some lgebr However, ths vlue deeds o the vlue of the tl rrtol umber x whle the vlue for r 43

48 gve Theorem 9 oly deeds o d It s cler tht we c fd eve smller vlues for r to substtute to Theorem 9 We leve tht for future wor Gve tht the exso of s [ 0,,, ], the followg tble summrzes the cotued frcto exsos of vrous rtol umbers tht were dscussed ths er Rel Number Prty of N Cotued Frcto Exso ( ),,,,,,,,,,, ( ) ( ) ( ) eve 44 0 odd,,,,,,,,,,, 0 eve,,,,,,,,,,, 0 odd,,,,,,,,,,, 0 eve 0,,,,,,,,, odd 0,,,,,,,,, eve 0,,,,,,,,, odd 0,,,,,,,,, ( ) ( ) ( ) ( ) ( ) ( ) eve,,,,,,,,,, 0 odd,,,,,,,,,, eve odd eve odd Tble 4 0 [,,,,,,,, ] 0 [,,,,,,,, ] 0 [,,,,,,, ] 0 [,,,,,,, ] 0

49 Chter 5 - Future Wor I Exmle 7 we looed t the cotued frcto exsos tht er the rtl sums of the seres for secfc vlues of d From studyg ths exmle mog others, t becme evdet tht much more reserch c be doe o the tters foud the exsos of As metoed t the ed of Exmle 7 we mde severl cojectures regrdg these exsos To hel us llustrte ths, cosder the followg tbles whch gve the exso of for vrous vlues of,, d Exresso Exso / = 37/89 [,,, 5,, 6] = [,,, 5,, 5, 7,, 5, ] = 3 [,,, 5,, 5, 8,,, 3,,, 8, ] = 4 [,,, 5,, 5, 8,,,, 89,,,, 8, ] = 5 [,,, 5,, 5, 8,,,, 800,,,, 8, ] = 6 [,,, 5,, 5, 8,,,, 7979,,,, 8, ] Tble 5 Exresso Exso / = 388/93 [4, 5,, 4, 3] = [4, 5,, 4, 4,, 4,, 5] = 3 [4, 5,, 4, 4,, 9,, 8, 5, 6] = 4 [4, 5,, 4, 4,, 9,, 845, 5, 6] = 5 [4, 5,, 4, 4,, 9,, 78686, 5, 6] = 6 [4, 5,, 4, 4,, 9,,737899, 5, 6] Tble 6 Exresso / = 73/458 [0, 6, 3,,,, 6] Exso 45

50 = [0, 6, 3,,,, 7, 5,,,, 3, 6] = 3 [0, 6, 3,,,, 7, 5,,, 5, 3, 3,,, 3,,, 6] = 4 [0, 6, 3,,,, 7, 5,,, 5, 3, 835,,, 3,,, 6] = 5 [0, 6, 3,,,, 7, 5,,, 5, 3, 84089,,, 3,,, 6] = 6 [0, 6, 3,,,, 7, 5,,, 5, 3, ,,, 3,,, 6] Tble 7 From Tbles 5, 6, d 7 we see tht ech exso evetully becomes fxed rt from oe rtl uotet If we cut off the cotued frcto of ech rght before the o-fxed rtl uotet, the the vlue of ths rtol umber s wht the seres coverges to Now let s observe the o-fxed rtl uotets gve ech tble I Tble 5 they re 89, 800, d 7979 Smlr to Exmle 7 they c be wrtte s: (6) 89 (89 ) 800 (89 89 ) ( ) I Tbles 6 d 7 the o-fxed rtl uotets gve re 8, 845, 78686, d 3, 835, 84089, resectvely Oce g observe tht 8 9() 845 9(93 ) (7) (93 93) ( ) d 3 4() 835 4(458 ) (8) ( ) ( ) Frst, otce from (6), (7), d (8) tht the o-fxed rtl uotets hve the form j j ( ) for some j I ech cse bove, c be foud by fdg [gcd(, )] For stce, gcd(37,89), gcd(388,93) 9 d gcd(73, 458) 4 46

51 Secodly, observe tht the lst set of fxed rtl uotets s eul to ' ' where s the deomtor corresodg to the - th coverget of I other words, t s the sme s the exso of reverse order f we gore the frst rtl uotet I ddto, we sometmes hve to strt wth the form of the exso tht eds For exmle, usg the rtol umbers from Tbles 5, 6, d 7 we see tht 36/89 = [,,, 8,, ] = [,,, 8,,, ], 387/93 = [4, 6, 5], d 7/458 = [0, 6,,, 3, 3] = [0,6,,, 3,, ] resectvely Wrtg these reverse order whle gorg the frst rtl uotet gves [,,, 8,, ] = [,,, 8, ], [5, 6], d [,, 3,,, 6] ll of whch er the tbles bove We ow gve the followg cojecture summrzg the formto reseted bove Cojecture Suose d re rtol umbers greter th d the seres u coverges to some rtol umber [ 0,,, ] v where Further ssume tht the exso of s [ b0, b,, b ] The for some dex, j, where j s 3 or 4: j j3 [ 0,,,,gcd(, ),, b, b, b ] 0 or j j3 [ 0,,,,,gcd(, ), b, b, b ] 0 Also for ech teger m j, we hve: m m3 [ 0,,,,gcd(, ),, b, b, b ] 0 or 47

52 m m3 [ 0,,,,,gcd(, ), b, b, b ] 0 Future wor would volve determg f ths cojecture s true, d f so, rovdg roof It would lso volve exlorg other tters tht rse the exsos of rtl sums of seres At the ed of Chter 4 we gve result tht gve the rrtol umber x [,,,,,,], the the sum of x d the rtol umber r hs exso tht 0 reserves the frst rtl uotets of x f r s smll eough Future wor ths re would volve ushg the lmts o how lrge vlue of r we c fd tht stll hs ths roerty 48

53 Refereces [] Hrdy, G H, d Wrght, EM A Itroducto to the Theory of Numbers, 4th ed, Oxford: Clredo Press, 960 [] Jcobse, Mchel, d Hugh Wllms Solvg the Pell Euto New Yor; Lodo: Srger, 008 [3] Khch, A Y Cotued Frctos, 3 rd ed, Chcgo: Uversty of Chcgo Press, 964 [4] Khovs, Alexey N The Alcto of Cotued Frctos d ther Geerlztos to Problems Aroxmto Theory The Netherlds: P Noordhoff, 963 [5] LeVeue, Wllm J Dohte Aroxmto Fudmetls of Number Theory Redg, MA: Dover Publctos, Ic, [6] Olds, CD Cotued Frctos New Yor: Rdom House, Ic,

Patterns of Continued Fractions with a Positive Integer as a Gap

Patterns of Continued Fractions with a Positive Integer as a Gap IOSR Jourl of Mthemtcs (IOSR-JM) e-issn: 78-578, -ISSN: 39-765X Volume, Issue 3 Ver III (My - Ju 6), PP -5 wwwosrjourlsorg Ptters of Cotued Frctos wth Postve Iteger s G A Gm, S Krth (Mthemtcs, Govermet

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

Available online through

Available online through Avlble ole through wwwmfo FIXED POINTS FOR NON-SELF MAPPINGS ON CONEX ECTOR METRIC SPACES Susht Kumr Moht* Deprtmet of Mthemtcs West Begl Stte Uverst Brst 4 PrgsNorth) Kolt 76 West Begl Id E-ml: smwbes@yhoo

More information

Introduction to mathematical Statistics

Introduction to mathematical Statistics Itroducto to mthemtcl ttstcs Fl oluto. A grou of bbes ll of whom weghed romtely the sme t brth re rdomly dvded to two grous. The bbes smle were fed formul A; those smle were fed formul B. The weght gs

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

Math 2414 Activity 16 (Due by end of class August 13) 1. Let f be a positive, continuous, decreasing function for x 1, and suppose that

Math 2414 Activity 16 (Due by end of class August 13) 1. Let f be a positive, continuous, decreasing function for x 1, and suppose that Mth Actvty 6 (Due y ed of clss August ). Let f e ostve, cotuous, decresg fucto for x, d suose tht f. If the seres coverges to s, d we cll the th rtl sum of the seres the the remder doule equlty r 0 s,

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

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

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

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2.

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2. Chter Chter Syste of Rel uers Tertg Del frto: The del frto whh Gve fte uers of dgts ts del rt s lled tertg del frto. Reurrg ( o-tertg )Del frto: The del frto (No tertg) whh soe dgts re reeted g d g the

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue, My 0 ISSN 0- A Techque for Costructg Odd-order Mgc Squres Usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDIA) tombrom@gml.com

More information

POWERS OF COMPLEX PERSYMMETRIC ANTI-TRIDIAGONAL MATRICES WITH CONSTANT ANTI-DIAGONALS

POWERS OF COMPLEX PERSYMMETRIC ANTI-TRIDIAGONAL MATRICES WITH CONSTANT ANTI-DIAGONALS IRRS 9 y 04 wwwrppresscom/volumes/vol9issue/irrs_9 05pdf OWERS OF COLE ERSERIC I-RIIGOL RICES WIH COS I-IGOLS Wg usu * Q e Wg Hbo & ue College of Scece versty of Shgh for Scece d echology Shgh Ch 00093

More information

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department CS473-Algorthms I Lecture 3 Solvg Recurreces Cevdet Aykt - Blket Uversty Computer Egeerg Deprtmet Solvg Recurreces The lyss of merge sort Lecture requred us to solve recurrece. Recurreces re lke solvg

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

A Brief Introduction to Olympiad Inequalities

A Brief Introduction to Olympiad Inequalities Ev Che Aprl 0, 04 The gol of ths documet s to provde eser troducto to olympd equltes th the stdrd exposto Olympd Iequltes, by Thoms Mldorf I ws motvted to wrte t by feelg gulty for gettg free 7 s o problems

More information

Chapter 7. Bounds for weighted sums of Random Variables

Chapter 7. Bounds for weighted sums of Random Variables Chpter 7. Bouds for weghted sums of Rdom Vrbles 7. Itroducto Let d 2 be two depedet rdom vrbles hvg commo dstrbuto fucto. Htczeko (998 d Hu d L (2000 vestgted the Rylegh dstrbuto d obted some results bout

More information

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION St Joh s College UPPER V Mthemtcs: Pper Lerg Outcome d ugust 00 Tme: 3 hours Emer: GE Mrks: 50 Modertor: BT / SLS INSTRUCTIONS ND INFORMTION Red the followg structos crefull. Ths questo pper cossts of

More information

TiCC TR November, Gauss Sums, Partitions and Constant-Value Codes. A.J. van Zanten. TiCC, Tilburg University Tilburg, The Netherlands

TiCC TR November, Gauss Sums, Partitions and Constant-Value Codes. A.J. van Zanten. TiCC, Tilburg University Tilburg, The Netherlands Tlburg ceter for Cogto d Coucto P.O. Box 953 Tlburg Uversty 5 LE Tlburg, The Netherlds htt://www.tlburguversty.edu/reserch/sttutes-d-reserch-grous/tcc/cc/techcl-reorts/ El: tcc@uvt.l Coyrght A.J. v Zte,

More information

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ]

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ] Atervtves The Itegrl Atervtves Ojectve: Use efte tegrl otto for tervtves. Use sc tegrto rules to f tervtves. Aother mportt questo clculus s gve ervtve f the fucto tht t cme from. Ths s the process kow

More information

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini DATA FITTING Itesve Computto 3/4 Als Mss Dt fttg Dt fttg cocers the problem of fttg dscrete dt to obt termedte estmtes. There re two geerl pproches two curve fttg: Iterpolto Dt s ver precse. The strteg

More information

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y 4. Le Itegrls I ths secto we defe tegrl tht s smlr to sgle tegrl except tht sted of tegrtg over tervl [ ] we tegrte over curve. Such tegrls re clled le tegrls lthough curve tegrls would e etter termology.

More information

Solutions Manual for Polymer Science and Technology Third Edition

Solutions Manual for Polymer Science and Technology Third Edition Solutos ul for Polymer Scece d Techology Thrd Edto Joel R. Fred Uer Sddle Rver, NJ Bosto Idols S Frcsco New York Toroto otrel Lodo uch Prs drd Cetow Sydey Tokyo Sgore exco Cty Ths text s ssocted wth Fred/Polymer

More information

Hypercyclic Functions for Backward and Bilateral Shift Operators. Faculty of Science, Ain Shams University, Cairo, Egypt 2 Department of Mathematics,

Hypercyclic Functions for Backward and Bilateral Shift Operators. Faculty of Science, Ain Shams University, Cairo, Egypt 2 Department of Mathematics, Jourl of themtcs d Sttstcs 5 (3):78-82, 29 ISSN 549-3644 29 Scece ublctos Hyercyclc Fuctos for Bcwrd d Blterl Shft Oertors N Fred, 2 ZA Hss d 3 A orsy Dertmet of themtcs, Fculty of Scece, A Shms Uversty,

More information

ON NILPOTENCY IN NONASSOCIATIVE ALGEBRAS

ON NILPOTENCY IN NONASSOCIATIVE ALGEBRAS Jourl of Algebr Nuber Theory: Advces d Applctos Volue 6 Nuber 6 ges 85- Avlble t http://scetfcdvces.co. DOI: http://dx.do.org/.864/t_779 ON NILOTENCY IN NONASSOCIATIVE ALGERAS C. J. A. ÉRÉ M. F. OUEDRAOGO

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

3. REVIEW OF PROPERTIES OF EIGENVALUES AND EIGENVECTORS

3. REVIEW OF PROPERTIES OF EIGENVALUES AND EIGENVECTORS . REVIEW OF PROPERTIES OF EIGENVLUES ND EIGENVECTORS. EIGENVLUES ND EIGENVECTORS We hll ow revew ome bc fct from mtr theory. Let be mtr. clr clled egevlue of f there et ozero vector uch tht Emle: Let 9

More information

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them.

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them. . CHAPTER 0 SEQUENCE, SERIES, d INDUCTION Secto 0. Seqece A lst of mers specfc order. E / Fd the frst terms : of the gve seqece: Aswer: Frst, I ll show how to fd the terms ltcll the I ll show how to se

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

A METHOD FOR THE RAPID NUMERICAL CALCULATION OF PARTIAL SUMS OF GENERALIZED HARMONICAL SERIES WITH PRESCRIBED ACCURACY

A METHOD FOR THE RAPID NUMERICAL CALCULATION OF PARTIAL SUMS OF GENERALIZED HARMONICAL SERIES WITH PRESCRIBED ACCURACY UPB c Bull, eres D, Vol 8, No, 00 A METHOD FOR THE RAPD NUMERAL ALULATON OF PARTAL UM OF GENERALZED HARMONAL ERE WTH PRERBED AURAY BERBENTE e roue o etodă ouă etru clculul rd l suelor rţle le serlor roce

More information

Preliminary Examinations: Upper V Mathematics Paper 1

Preliminary Examinations: Upper V Mathematics Paper 1 relmr Emtos: Upper V Mthemtcs per Jul 03 Emer: G Evs Tme: 3 hrs Modertor: D Grgortos Mrks: 50 INSTRUCTIONS ND INFORMTION Ths questo pper sts of 0 pges, cludg swer Sheet pge 8 d Iformto Sheet pges 9 d 0

More information

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl Alyss for Egeers Germ Jord Uversty ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl soluto of lrge systems of ler lgerc equtos usg drect methods such s Mtr Iverse, Guss

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

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

MATRIX AND VECTOR NORMS

MATRIX AND VECTOR NORMS Numercl lyss for Egeers Germ Jord Uversty MTRIX ND VECTOR NORMS vector orm s mesure of the mgtude of vector. Smlrly, mtr orm s mesure of the mgtude of mtr. For sgle comoet etty such s ordry umers, the

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

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

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

Union, Intersection, Product and Direct Product of Prime Ideals

Union, Intersection, Product and Direct Product of Prime Ideals Globl Jourl of Pure d Appled Mthemtcs. ISSN 0973-1768 Volume 11, Number 3 (2015), pp. 1663-1667 Reserch Id Publctos http://www.rpublcto.com Uo, Itersecto, Product d Drect Product of Prme Idels Bdu.P (1),

More information

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN Euroe Jour of Mthemtcs d omuter Scece Vo. No. 6 ISSN 59-995 ISSN 59-995 ON AN INVESTIGATION O THE MATRIX O THE SEOND PARTIA DERIVATIVE IN ONE EONOMI DYNAMIS MODE S. I. Hmdov Bu Stte Uverst ABSTRAT The

More information

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES Avlble ole t http://sc.org J. Mth. Comput. Sc. 4 (04) No. 05-7 ISSN: 97-507 SUM PROPERTIES OR THE K-UCAS NUMBERS WITH ARITHMETIC INDEXES BIJENDRA SINGH POOJA BHADOURIA AND OMPRAKASH SIKHWA * School of

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

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems

The Computation of Common Infinity-norm Lyapunov Functions for Linear Switched Systems ISS 746-7659 Egd UK Jour of Iformto d Comutg Scece Vo. 6 o. 4. 6-68 The Comutto of Commo Ifty-orm yuov Fuctos for er Swtched Systems Zheg Che Y Go Busess Schoo Uversty of Shgh for Scece d Techoogy Shgh

More information

Keywords: Heptic non-homogeneous equation, Pyramidal numbers, Pronic numbers, fourth dimensional figurate numbers.

Keywords: Heptic non-homogeneous equation, Pyramidal numbers, Pronic numbers, fourth dimensional figurate numbers. [Gol 5: M 0] ISSN: 77-9655 IJEST INTENTIONL JOUNL OF ENGINEEING SCIENCES & ESECH TECHNOLOGY O the Hetc No-Hoogeeous Euto th Four Ukos z 6 0 M..Gol * G.Suth S.Vdhlksh * Dertet of MthetcsShrt Idr Gdh CollegeTrch

More information

On Solution of Min-Max Composition Fuzzy Relational Equation

On Solution of Min-Max Composition Fuzzy Relational Equation U-Sl Scece Jourl Vol.4()7 O Soluto of M-Mx Coposto Fuzzy eltol Equto N.M. N* Dte of cceptce /5/7 Abstrct I ths pper, M-Mx coposto fuzzy relto equto re studed. hs study s geerlzto of the works of Ohsto

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

Asymptotic Dominance Problems. is not constant but for n 0, f ( n) 11. 0, so that for n N f

Asymptotic Dominance Problems. is not constant but for n 0, f ( n) 11. 0, so that for n N f Asymptotc Domce Prolems Dsply ucto : N R tht s Ο( ) ut s ot costt 0 = 0 The ucto ( ) = > 0 s ot costt ut or 0, ( ) Dee the relto " " o uctos rom N to R y g d oly = Ο( g) Prove tht s relexve d trstve (Recll:

More information

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS PubH 745: REGRESSION ANALSIS REGRESSION IN MATRIX TERMS A mtr s dspl of umbers or umercl quttes ld out rectgulr rr of rows d colums. The rr, or two-w tble of umbers, could be rectgulr or squre could be

More information

4 Linear Homogeneous Recurrence Relation 4-1 Fibonacci Rabbits. 组合数学 Combinatorics

4 Linear Homogeneous Recurrence Relation 4-1 Fibonacci Rabbits. 组合数学 Combinatorics 4 Ler Homogeeous Recurrece Relto 4- bocc Rbbts 组合数学 ombtorcs The delt of the th moth d - th moth s gve brth by the rbbts - moth. o = - + - Moth Moth Moth Moth 4 I the frst moth there s pr of ewly-bor rbbts;

More information

Stats & Summary

Stats & Summary Stts 443.3 & 85.3 Summr The Woodbur Theorem BCD B C D B D where the verses C C D B, d est. Block Mtrces Let the m mtr m q q m be rttoed to sub-mtrces,,,, Smlrl rtto the m k mtr B B B mk m B B l kl Product

More information

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums Roerto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 2 Rem sums Wht you eed to kow lredy: The defto of re for rectgle. Rememer tht our curret prolem s how to compute the re of ple rego

More information

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants Rochester Isttute of echology RI Scholr Wors Artcles 8-00 bocc d ucs Nubers s rdgol trx Deterts Nth D. Chll Est Kod Copy Drre Nry Rochester Isttute of echology ollow ths d ddtol wors t: http://scholrwors.rt.edu/rtcle

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

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

Abstrct Pell equto s mportt reserch object elemetry umber theory of defte equto ts form s smple, but t s rch ture My umber theory problems ce trsforme

Abstrct Pell equto s mportt reserch object elemetry umber theory of defte equto ts form s smple, but t s rch ture My umber theory problems ce trsforme The solvblty of egtve Pell equto Jq Wg, Lde C Metor: Xgxue J Bejg Ntol Dy School No66 Yuqu Rod Hd Dst Bejg Ch PC December 8, 013 1 / 4 Pge - 38 Abstrct Pell equto s mportt reserch object elemetry umber

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

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

Integration by Parts for D K

Integration by Parts for D K Itertol OPEN ACCESS Jourl Of Moder Egeerg Reserc IJMER Itegrto y Prts for D K Itegrl T K Gr, S Ry 2 Deprtmet of Mtemtcs, Rgutpur College, Rgutpur-72333, Purul, West Begl, Id 2 Deprtmet of Mtemtcs, Ss Bv,

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

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

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

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

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

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

Strategies for the AP Calculus Exam

Strategies for the AP Calculus Exam Strteges for the AP Clculus Em Strteges for the AP Clculus Em Strtegy : Kow Your Stuff Ths my seem ovous ut t ees to e metoe. No mout of cochg wll help you o the em f you o t kow the mterl. Here s lst

More information

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector evel-2 BS trx-vector opertos wth 2 opertos sequetlly BS-Notto: S --- sgle precso G E geerl mtrx V --- vector defes SGEV, mtrx-vector product: r y r α x β r y ther evel-2 BS: Solvg trgulr system x wth trgulr

More information

Chapter 4: Distributions

Chapter 4: Distributions Chpter 4: Dstrbutos Prerequste: Chpter 4. The Algebr of Expecttos d Vrces I ths secto we wll mke use of the followg symbols: s rdom vrble b s rdom vrble c s costt vector md s costt mtrx, d F m s costt

More information

( a n ) converges or diverges.

( a n ) converges or diverges. Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite

More information

On a class of analytic functions defined by Ruscheweyh derivative

On a class of analytic functions defined by Ruscheweyh derivative Lfe Scece Jourl ;9( http://wwwlfescecestecom O clss of lytc fuctos defed by Ruscheweyh dervtve S N Ml M Arf K I Noor 3 d M Rz Deprtmet of Mthemtcs GC Uversty Fslbd Pujb Pst Deprtmet of Mthemtcs Abdul Wl

More information

Linear Open Loop Systems

Linear Open Loop Systems Colordo School of Me CHEN43 Trfer Fucto Ler Ope Loop Sytem Ler Ope Loop Sytem... Trfer Fucto for Smple Proce... Exmple Trfer Fucto Mercury Thermometer... 2 Derblty of Devto Vrble... 3 Trfer Fucto for Proce

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

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

Chapter 3 Supplemental Text Material

Chapter 3 Supplemental Text Material S3-. The Defto of Fctor Effects Chpter 3 Supplemetl Text Mterl As oted Sectos 3- d 3-3, there re two wys to wrte the model for sglefctor expermet, the mes model d the effects model. We wll geerlly use

More information

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions HK Km Slghtly moded //9 /8/6 Frstly wrtte t Mrch 5 Itertve Methods er Systems: Guss-Sedel Noler Systems Cse Study: Chemcl Rectos Itertve or ppromte methods or systems o equtos cosst o guessg vlue d the

More information

Bond Additive Modeling 5. Mathematical Properties of the Variable Sum Exdeg Index

Bond Additive Modeling 5. Mathematical Properties of the Variable Sum Exdeg Index CROATICA CHEMICA ACTA CCACAA ISSN 00-6 e-issn -7X Crot. Chem. Act 8 () (0) 9 0. CCA-5 Orgl Scetfc Artcle Bod Addtve Modelg 5. Mthemtcl Propertes of the Vrble Sum Edeg Ide Dmr Vukčevć Fculty of Nturl Sceces

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

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

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

Chapter Gauss-Seidel Method

Chapter Gauss-Seidel Method Chpter 04.08 Guss-Sedel Method After redg ths hpter, you should be ble to:. solve set of equtos usg the Guss-Sedel method,. reogze the dvtges d ptflls of the Guss-Sedel method, d. determe uder wht odtos

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

Pr[X (p + t)n] e D KL(p+t p)n.

Pr[X (p + t)n] e D KL(p+t p)n. Cheroff Bouds Wolfgag Mulzer 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

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

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A Desty of dagoalzable square atrces Studet: Dael Cervoe; Metor: Saravaa Thyagaraa Uversty of Chcago VIGRE REU, Suer 7. For ths etre aer, we wll refer to V as a vector sace over ad L(V) as the set of lear

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

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Mtr Trsformtos usg Egevectors September 8, Mtr Trsformtos Usg Egevectors Lrry Cretto Mechcl Egeerg A Semr Egeerg Alyss September 8, Outle Revew lst lecture Trsformtos wth mtr of egevectors: = - A ermt

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

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

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

UNIT I. Definition and existence of Riemann-Stieltjes

UNIT I. Definition and existence of Riemann-Stieltjes 1 UNIT I Defto d exstece of Rem-Steltjes Itroducto: The reder wll recll from elemetry clculus tht to fd the re of the rego uder the grph of postve fucto f defed o [, ], we sudvde the tervl [, ] to fte

More information

i+1 by A and imposes Ax

i+1 by A and imposes Ax MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING CAMBRIDGE, MASSACHUSETTS 09.9 NUMERICAL FLUID MECHANICS FALL 009 Mody, October 9, 009 QUIZ : SOLUTIONS Notes: ) Multple solutos

More information

(II.G) PRIME POWER MODULI AND POWER RESIDUES

(II.G) PRIME POWER MODULI AND POWER RESIDUES II.G PRIME POWER MODULI AND POWER RESIDUES I II.C, we used the Chiese Remider Theorem to reduce cogrueces modulo m r i i to cogrueces modulo r i i. For exmles d roblems, we stuck with r i 1 becuse we hd

More information

Mathematical models for computer systems behaviour

Mathematical models for computer systems behaviour Mthemtcl models for comuter systems ehvour Gols : redct comuter system ehvours - erformces mesuremets, - comrso of systems, - dmesog, Methodology : - modellg evromet (stochstc rocess) - modellg system

More information

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

More information

EVALUATING DEFINITE INTEGRALS

EVALUATING DEFINITE INTEGRALS Chpter 4 EVALUATING DEFINITE INTEGRALS If the defiite itegrl represets re betwee curve d the x-xis, d if you c fid the re by recogizig the shpe of the regio, the you c evlute the defiite itegrl. Those

More information

Lecture 3-4 Solutions of System of Linear Equations

Lecture 3-4 Solutions of System of Linear Equations Lecture - Solutos of System of Ler Equtos Numerc Ler Alger Revew of vectorsd mtrces System of Ler Equtos Guss Elmto (drect solver) LU Decomposto Guss-Sedel method (tertve solver) VECTORS,,, colum vector

More information

under the curve in the first quadrant.

under the curve in the first quadrant. NOTES 5: INTEGRALS Nme: Dte: Perod: LESSON 5. AREAS AND DISTANCES Are uder the curve Are uder f( ), ove the -s, o the dom., Prctce Prolems:. f ( ). Fd the re uder the fucto, ove the - s, etwee,.. f ( )

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