Localized Lyapunov exponents and the prediction of predictability
|
|
- Diana Walton
- 7 years ago
- Views:
Transcription
1 $ Phyc ttr A locat pla a Chrtn ocalz yapunov ponnt an th prcton of prctalty Zhmann a onar A. Smth ac urgn Kurth a Un rtat Potam Inttut fur Phy Nchtlnar ynam Potfach Potam Grmany Mathmatcal InttutUn rty of Ofor Ofor OX 3B UK c onon School of Economc onon CA AE UK Rcv 9 cmr 999; rcv n rv form 9 Aprl 000; accpt 3 May 000 Communcat y C.R. orng Atract Evry forcat houl nclu an tmat of t lly accuracy a currnt maur of prctalty. Two tnct typ of localz yapunov ponnt a on nfntmal uncrtanty ynamc ar nvtgat to rflct th prctalty. Rgon of hgh prctalty wthn whch any ntal uncrtanty wll cra ar provn to t n two common chaotc ytm; potntal mplcaton of th rgon ar conr. Th rlvanc of th rult for fnt z uncrtant cu an llutrat numrcally. 000 Elvr Scnc B.V. All rght rrv. PACS: a; a; Tp Kywor: yapunov ponnt; Prctalty; Chao; athr forcatng; Enml prcton; Nonlnar ynamc. Introucton Prcton of prctalty rfr to th quanttatv attmpt to a th lly rror n a partcular forcat a pror. Thr ar at lat thr ourc of Corrponng author. Tl.: fa: E-mal ar: chr@agnl.un-potam. C. Zhmann. ffculty n quantfyng prctalty: th pnnc of maur " of# prctalty upon th partcular mtrc aopt th pnnc of uncrtanty ynamc upon th magntu % & of th uncrtanty n th ntal conton an 3 th fact that rror n th mol ar oftn unnown untl aftr prcton ' ( ar orv to fal. yapunov ponnt 3 quantfy * prctalty through gloally avrag ffctv + growth rat of uncrtanty n th lmt of larg tm an mall uncrtanty; thu y contructon thy ar of lmt u. To otan a quanttatv tmat of th accuracy of a partcular forcat th local y- of uncrtant aout that ntal -namc conton / $ - front mattr Elvr Scnc B.V. All rght rrv. PII: S
2 B G C E F A * c tu } ½ Ä Ž ¼ Í ž Ê y z U 4 5 ar mor rlvant 4 9. By allowng ttr r amnt a prcton of prctalty of valu n any fl from phyc to conomc; wathr forcatng prov a partcular ampl rlvant to oth fl. Effct 8 + growth rat fn ovr a f uraton ar alo u to quantfy prctalty; thy ar 9mploy aly n th opratonal wathr : forcat ; cntr of Europ an North Amrca 0. In Scton th tncton twn what wll call fnt tm ponnt an fnt ampl ponnt hown to l n th partcular ntal = orntaton of th prturaton 9ach conr for a gvn ntal conton; th can rult n ramatcally ffrnt 8ffct 8 + growth rat. Both typ of ponnt ar call ocal yapunov ponnt an rcognzng th tncton twn thm rolv om confuon n th ltratur. In trm of prctng th forcat accuracy th fnt tm ponnt ar hown to th mor rlvant quantt n Scton 3 whr t alo provn that th man of th largt fnt tm ponnt o not prov an una tmat of th corrponng gloal ponnt an mlarly for th man of th mallt fnt tm ponnt. In aton n rgon of tat pac whr th largt fnt tm ponnt l than zro all prturaton wll hrn npnnt of thr orntaton; th nvtgat n Scton 4 whr uch rgon ar * provn to t n two common chaotc map. Each cla of yapunov ponnt cu n th papr aum th orvatonal uncrtanty nfntmal; of cour a long a t rman nfntmal t cannot lmt prctalty an onc t fnt t growth no longr quantf y yapunov ponnt. Thrfor th rgorou rult r- * trct to nfntmal uncrtant ar contrat wth numrcal montraton for fnt uncrtant n Scton 4. Part of th popularty of gloal yapunov ponnt tm from th fact that thr valu o not pn upon th mtrc or coornat ytm u; th not th ca for th ponnt a upon a fnt lngth of trajctory yt n practc only th lattr ar avalal. rturn to th u n Scton 5. Fnally thr th quton of mol rror n nonlnar forcatng thr paramtrc or tructural. Argualy mol rror may mor rponl for poor prcton of ral nonln- ytm than chao. Mol mprfcton 9ar ar ( C. Zhmann t al.3 Phyc ttr A not conr n th papr a thr no ytmatc mannr to nclu ytmh mol mmatch thu t aum throughout th papr that th prfct mol nown. I. ocalz yapunov ponnt Th ynamc of nfntmal uncrtant aout a pont n an K m-mnonal tat M 0 pac N ar + govrn y th lnar propagator OP > 0 t whch 9volv any nfntmal ntal uncrtanty R S T m 0 R aout forwar for a tm V > t 0 along th ytm trajctory to : t X Y Z[ ^ \ > _ t ] ` a. t 0 In crt tm map th lnar propagator ovr traton mply th prouct off acoan g along h th p trajctory q r that j lm 0 n o... vw 0. For hgh mnonal ytm ntrt tn to focu on upac whch ar lly to contan th fatt growng prturaton 40 {. Two orntaton of partcular ntrt ar that whch wll hav grown th~ mot unr th lnarz ynamc n ƒ aftr tp an th local orntaton of th gloally fatt growng rcton l ˆwhch omtm call th yapunov vctor 3. Th frt of th orntaton Š fn y th ngular Bvalu n Œ compoton 4 of th propagator: th ar mply th rght ngular vctor of. Each aocat wth a ngular valu n ; y convnton š œ. Th fnt tm yapuno 8ponnt 5 ar ± n n ª «$ log º ² n log µ» ¹. Proprt ¾ of th ponntà hav Á n not  à y ornz 4 Grargr t al. Aaranl Å5 Æ an rfrnc throf. By Ç n È É Olc Thorm n th lmt th convrg to a unqu t of valu th yapunov ponnt Î whch ar th
3 ø F ` R ü 5 ù U A $ ã ä ù ü ^ B Ú _ þ å ù Û ü æ G U ë H 8 U I [ é ê à á µ } À ¾ Œ o Ž am for almot all maur. Õ Ö Ð Ñ Ò Ø wth n Ô ( C. Zhmann t al.ï Phyc ttr A rpct to an rgoc Ü lm Ý Þ log Ù...m K 3 If th um of th â ngatv a volum 9lmnt n tat pac wll hrn on avrag a t 9volv along a trajctory an mot ntal conton wll volv towar an attractor of mnon l than K m. At ach pont on uch an attractor th orntaton l not th orntaton corrponng to ç that th orntaton towar whch almot vry uncrtanty è n th uffcntly tant pat woul hav volv whn th trajctory rach. Smlarly fn lm a th í î ïorntaton corrponng ð ñ to òì mó for tal. Numrcally l an l 0 Um 0 can appromat ô y ö volvng th ngular vctor of ú û ü ý ù j j that th j tp propagator aout th th j * pr-mag of forwar ù 0 j tp untl th trajctory rach 0. Thu ÿ j l j ü j m K. 4 0 j j ù ü j A j w pct l 0 to approach th orn- taton of l for an K 0 m lang to th fnton of th fnt ampl yapuno ponnt n $ % $ "# & log ' ( - * + l 5. n / 0 3 an 4 m mlarly fn ung lm. Both th n 8 an th 9 : n ; ar = oftn call local yapunov ponnt To avo th confuon of th polymy w wll call th > fnt- tm nc thy ar compltly fn C n y a fnt gmnt of trajctory an th E fnt-ampl nc thy ampl th growth of an orntaton fn y th gloal ynamc. Both nvolv th am lnar forwar propagator ut ach rflct th + growth n K of a ffrnt M orntaton: N th l for th n O P n an th for th S.A T U V oth n c approach an a yt for th rlatvly mall ovr whch forcat ar typcally ma thr proprt ar qut ffrnt an nthr contran y th valu of. f 3. Proprt of localz yapunov ponnt g Gnral contrant on th rlatv magntu of th largt an th mallt fnt tm an fnt ampl ponnt ar now rv from th fnton aov an thn llutrat low. By contructon h n j mamum l n m n growth corrpon to thu q r for ach an thrfor th t n- 9 n u v qualty z n { alo hol } ~ for th man valu w whr not an arthmtc ¼ avrag tan wth rpct to th natural maur an ƒ N a numrcal appromaton wth ampl z N.E- ampl from two chaotc ytm ar gvn n Fg.. Th Hnon map 4 ¼ ˆ Š a Œ y Œ y whr a.4 an Ž 0.3; th acoan npnnt of y an ha contant trmnant qual to Ž. Th Ia map 5 ˆ š œ ˆ co ž > t Œ y n > t Œ y ˆ n > t Œ y co > t ª «wth > t 0. 4 ˆ Œ y ± an ² 0.9 prov a rathr mor compl acoan tll wth contant trmnant qual to n th ca. Not th non-gauan hap of all th truton n Fg. partcularly tho for mall. Contratng th hap of th truton for th Hnon an Ia ytm uggt that uch truton wll trongly ytm pnnt. Alo not how th truton harpn wth ncrang n ¹ an that» for gvn th truton of º an n ¼ ½ ffr. If a pcfc Z not of ntrt appromaton of l tx Y \ ] at Z t along a numrcal trajctory can mply appromat y a vry long ntgraton of th ytm an tangnt quaton for an artrary ntal uncrtanty. Th qualty of th appromaton may unnown howvr 8 an th cuon n Scton 5. aum throughout that thr t a unqu natural maur whch wll appromat y th numrcal traton of th ytm.
4 n ö ã â 8 K '( O 4 ( C. Zhmann t al.á Phyc ttr A Â Ã Ä Å Æ Ç È É Ê Ã Í Î Ï Ð Ñ Ò Ô Õ Ö ÜFg.. truton Ý à of á a an Ø c n th Hnon Þ ß an th Ia ytm for Ù thc Ú 4 thn an Û 4 ah ach wth N 409. Th arrow at th top a ncat. argr n wth hav n u n th lowr panl. N ä n å æ Th man valu è ç é ¼ n ê ë N o ì not í n î ï ncra wth ncrang. In fact ð ñ ò for any a can n y conrng th matr óô th prouct of acoan ø ù.... v úû nto two u-prouct üý an þÿ ach of lngth :... ¼ n... Th frt ngular valu " of #$ rflct th mamum pol growth ovr th frt tp; th frt ngular valu of matr %& mut l than or 9qual to th prouct of th frt ngular valu of th matrc an * thu / Th qualty hol only f th frt lft ngular vctor u5 of algn ; = wth> th rght ngular vctor 9: of AB E.. F u C a n th unform G H I Bar map an Bar Apprntc Map. From Eq. th largt fnt tm yapunov ponnt 3 Th follow mmatly from th ngular valu compo- M N T ton SV O of a quar matr P R ST U V whr th uprcrpt T not th tranpo of a matr. X a agonal matr who largt ntry Y an Z[ an \] ar orthonormal rotaton matrc. Notng that rotaton matrc cannot nhanc growth yl th r rult. A rf proof gvn n th Appn
5 K š Æ Ú í ÇÈ n ž ì U å ß ì a Ä Å ÿ & ì ì ø % ù / ú O / þ / fn y _` mut l than or qual to th n c a 8rag of tho fn y f an gh : w j r lm no t p n q u v n ƒ log y log z z { n ~ }. Smlarly th mallt fnt ˆtm po- - ¼ n Š nnt fn y Œ mut atfy Ž U m - n n œ Um n Um. A th tru n for ach nvual altrnatvly ª «m th man of th largt mallt fnt tm yapunov 9ponnt wll not ncra not cra a n- cra y a factor of two: ¾ n ± ² n µ À n ¹ º» n ¼ ½ an Á  à m m. 8 hn an ÉÊ ar of ffrnt lngth an thn á Í Î â Û Ï n Ð Ñ Ü Ò Ý n Ô Õ Þ Ö n ã Ø Ù à ä 9 æ ç è ç an a mlar rlaton otan for ë é ê m.. ö ç î ï ð ç ñ ò ó ô th ar u-atv upr-atv m ( C. Zhmann t al.^ Phyc ttr A qunc of functon. hl th û ç ü ý o not guarant a monotonc cra of or n- ç cra of wth ncrang t o mply m ç an m m ç for all 0 provng that th man of th ç truton not an una tmat of th gloal " yapunov po- # nnt $ for any fnt 58. Th man of th truton of fnt ampl ' ponnt qual to ( y * fnton + npnnt ç - of. hl 0 n Fg. ach. N cra 3 wth ç 4 5 ncrang a ncat y th arrow th N conc provng a contncy chc 8 9 ç a : ; to whthr N mght larg nough> o that A = N appro- mat th lmtng valu B. C E F G H I K M N Ia ytm for P lght gry 4 gry an R S T U 5 lac traton. Not that n th Ia ytm t. Fg.. Contratng fnt ampl yapunov ponnt aca wth th corrponng fnt tm yapunov ponnt ornat n th
6 ¼ ' Õ Ù ä ÿ ê X æ é [ Y ì Ú r è Ö å Å o à û ÿ û ' V [ œ ü U Z & ï ' ñ ù ò E ð ú ó ô ï all If th acoan trmnant contant thn for m ^ _ \ ` log ] a c f g g h ç j l ç m n whr p q w t. Rcallng that t u v ç y z { ç } ~ an m m Hnon ytm an th Ia ytm ƒ ç ç Š ç Œ Ž ç log an ç š œ «ma ž log œ mn ª ç Z ( C. Zhmann t al.v Phyc ttr A t follow that for oth th ç ˆ fnng ± a trangl whch oun th truton of º ç ² µ ç ¹» a llutrat n Fg. for th Ia map. th ncrang th truton of pont approach th ln ½ ¾ ç À Á  ç Ã. For Ä Æ Ç ç ÈÉ Ê ç Í 5 Î Ï th largt orv valu of Ð Ñ Ò wa Yt th wth of ach of th truton c 0.3 ncatng that th varaton tm from th ffrnt ntal conton on th attractor not th ntal orntaton. Ô 4. Rgon of hgh prctalty n chaotc map yapunov ponnt ar oftn a to rflct prctalty an a potv gloal yapunov ponnt oftn a to troy any hop of long-trm prctalty. But nc thy ar fn va th lnar propagator yapunov ponnt n only quantfy th growth of nfntmal uncrtant n th ntal conton th a hgh prc to pay for nvaranc unr a mooth chang Ö Ø of coornat. Both th Ia Ú Û Ü ytm Eq. an th Hnon ytm Eq. ar conr chaotc for th paramtr conr aov nc n ach caý ç Þ t ß lv that á â 0; yt th o not mply ã 0 for any fnt. In t clar from Fg. that thr ar many pont on th attractor aout.5 % of th Ia ytm for whch th lang ç fnt tm ponnt ngatv.. thr ar tat aout whch è ry nfntmal uncrtanty wll hrn rgarl of t orntaton. now proc to locat th corrponng rgon n tat pac wth ngatv largt fnt tm yapunov ponnt ë ì ç í î 0 whch w ntrprt a lly rgon of rlatvly hgh prctalty: all nfntmal ntal uncrtant wll cra n th rgon. Rcntly 99 mlar rgon hav n trmn ö analytcally ø n th ornz 30 y- tm alo 03 ; w now prnt nw rult for th Ia ytm an th Hnon ytm. Th rult thn montrat numrcally to hol n vral ca for fnt uncrtant ut th act rult low ar ujct to th cavat of nfntmal uncrtant a ar all gnral argumnt rgarng th prcton of trmntc chaotc ytm. 4.. Infntmal uncrtant Naturally act rult ar mot aly otan for mall. Thrfor w conr only ý an þ analytcally; numrcal ÿ rult ar gvn for largr valu. In a map 0 mpl that th largt ngular valu of th acoan l than on. For th Ia ytm wth n th rang 3 3 th on-tp fnt tm yapunov ponnt pa through zro at two crcl aout th orgn wth ra r o c c whr c ( * " # $ %.. In th ca / for all pont thr wthn th nnr crcl.. tho wth y r 8 or out th outr crcl y : r o. Fg. 3 how ; pont on th Ia attractor whr th gn of = > ncat y th gry cal. For A 0.9 th ra ar rc 0.35 an ro.404 thu th attractor l wll wthn F r og an G th outr crcl # not vl n Fg. 3. A H approach on th rau of th nnr crcl go to zro. In th Hnon ytm thr ar no rgon n whch vryi uncrtanty wll hrn aftr on traton that M K N 0 for all. A hown low th not th R ca for O P howvr. Th mallt valu of S T foun for pont on th 5 y-a. Hr X Y \ 0 an thu all uncrtant hrn cpt tho algn wth whch rman unchang n magntu. Not that for pont on th 5 y-a paralll to th 5 y-a. now prov that thr] t a fnt rgon wthn whch all pont hav a ^ _ ` 0; th rgon nclu a porton of th frt prmag of th 5 y-a.
7 w v Ž Å Ä é ¼ ê ½ ë Ô ( C. Zhmann t al.c Phyc ttr A Fg. 3. Rgon of crang uncrtanty n th Ia ytm. Pont on th attractor ar color gry f h th crcular rgon nar th orgn o l m n p 0 for all. f g j 0 lac othrw. thn Th prmag of th q y-a th paraola y ua a y t an th two tp propagator for pont z{ a } ~ Å 3 ƒ Š 0 3 ˆ Œ 0 a a whr w hav u th fact that n th Hnon ytm š only a functon of 3. To locat tho 3 wth œ ç ž 0 w trmn th ngular valu of a 0 q r ª notng that «whr ar th root of th charactrtc polynomal of T±². Thu a µ 4 ¹ º» 0. 3 can now tt whthr ¾ for any À ; altrnatvly w can olv for Á  to fn Í Å Æ Î Ã 0.9 Ï Ð Ç È É Ê a Ñ Ò 0.3. Not that th paraola an th for a Õ -a ntrct at th pont 0-. At th ntrcton Õ Ö Ø 0 an t follow from th quaton aov that Ù Ú ç Û Ü Ý Þ ß ç à á â ã or quvalntly ì ä ç å æ ç ç è í é î ï ð that log 0. Showng that a pont ngatv n th rang gvn y Eq. 4 prov
8 û ù é Å ÿ Å 8 that all pont on th paraola wthn th lmt hav ò ó ç ô ö 0. By contnuty thr t a fnt rgon n th nghorhoo of th paraola for ø ú Õ û a a wthn whch th largt two-tp fnt-tm yapunov ponnt ngatv. A numrcal tmat of th rgon hown n Fg. 5 a. hat aout largr valu of Trajctor pang through th rgon of ü ý þ ÿ 0 ar oftn foun to hav ç 0 for a wll; ngatv valu of 4 ar clarly vl n Fg. a. In th followng w wll llutrat th rlaton twn th trajctor of pont on th attractor wth ç 0 for Å an th qy -a; namly that uch pont tn to l nar ( C. Zhmann t al.ñ Phyc ttr A prmag of th q y-a. Th frt thr prmag of th Õ -a can otan analytcally. Th q y-a th prmag of th Õ -a whl th paraola not aov th frt prmag of th q y-a. Th frt prmag of th paraola a Õ a q y a. a Å a Th frt 4 prmag of th Õ -a ar hown togthr wth th attractor n ach panl of Fg. 4 whl pont on th attractor wth " # ç $ % 0 ar hown for th pcfc valu & 345 n th four panl. ' ( Fg. 4. All panl * how th Hnon attractor + th -a th y-a an t lat thr prmag: th paraola ol -. / ln t con 0 prmag 3 long ah 8 9 an t: thr ; prmag hort ah. Th ffrnt panl how pont on th attractor wth for a 3 4 c an = 5.
9 ¼ H û X Y Z c R S It clar that th rgon ç A B 0 ar rlat to th ntrcton of th attractor an prmag of th qy -a. nt how that th vn mor vnt for ntal conton n th gnral vcnty of th attractor. A n Fg. 4 Fg. 5 how oth th prmag of th Õ -a an th attractor; n aton tt pont for whch C ç E F 0 ar plott a wll whr th tt pont wr rawn at ranom from th rgon hown n th fgur. Pont wth crang uncrtant for G 5 ar foun n th vcnty of prmag of th q y-a.. thy oftn hav trajctor whch nclu a nar approach to th q y-a. Typcally th occur towar th n of that trajctory: pont wth I K 0 ar clo to th frt prmag of th qy -a pont wth M N 3O P 0 ar clo to t frt an con prmag an o forth. ( C. Zhmann t al.> Phyc ttr A Nt w nvtgat th havor for vn largr n th Hnon ytm. Grargr t al. how that on houl pct T U ç V 0 for artrarly larg aumng a havor ntally l avrag of ranom varal corrlat only ovr hort tm. Th gnral pctur corrct although th tal ar omtm mportant a w hav argu l- whr 5. Hr w conjctur that u to th trmntc natur of th Hnon ytm th fracton of [ \ ç ] cra mor qucly than th ranom varal argumnt woul uggt. A hown n Fg. th fracton of ntal conton on th attractor wth ^ _ ç ` a 0 orv to cra ponntally wth a ar th corrponng fracton whn lnar propagator of th map ar comn at ranom. Th ranom ca for 4 an 8 ar hown; for ach Fg. 5. All panl f how th Hnon attractor g th -a h th y-a an t lat thr prmag: th paraola ol ln t con. j prmag n long o ah p q an tr thr prmagt u hort ah. Th ffrnt panl how pont n th vcnty of th attractor wth l 0 for m av 3 w 4 c an 5.
10 œ ' ' ¼ ' ª «0 ( C. Zhmann t al.y Phyc ttr A z {. } ~ Fg.. For th Hnon ytm a th fracton of pont wth ƒ 0 a a functon of n th trmntc ca quar. Alo hown ar th ˆ rult Š for ranom matrc whr th matrc ar rawn from th truton of th lnar propagator of th Hnon for j 4 an 8. Th ol ln rflct th t ft to an ponntal cay ovr th rang 8 Œ 40. For larg j map that aout 30 traton of th map whr conr n th trmntc ca. Not that trmnm a trong contrant rucng th llhoo of fnng ngatv fnt tm ponnt. th fracton cra l qucly than n th trmntc ca. rgarng th trmnm n th r of acoan la to frqunc of ngatv Ž ç whch for th largr c tho of th trmntc ca y orr of magntu. 4.. Fnt uncrtant From th practcal pont of vw of tmatng prctalty th nowlg of uch pont woul of lmt utlty for larg nc th hrnng rgon aroun ach pont may vry mall. Furthr rcall that all tmat of prctalty a upon yapunov ponnt aum an nfntmal ntal rror. Thrfor w nt conr fnt uncrtant plctly frt plorng Gauan trut uncrtant n th Ia map an thn uncrtant of unform magntu n th Hnon map. In ach ca w allow th pct magntu of th rror to vary an cu th rlaton twn rgon of nhanc prctalty an th rgon whr ç 0. In th Ia map w conr normally trut uncrtant n ach coornat of th ntal conton wth zro man an th am tanar vaton. Tang a pont on th attractor at ranom 8 orvaton wr gnrat an prct forwar tp; f th tanc from truth at fnal tm wa l than th ntal prturaton appl n mor than 50% of th 8 ca thn th orgnal pont on th attractor wa conr to wthn š a rgon of hgh prctalty for that valu œ of ž. For thr a rgon not hown of hgh prctalty cntr on th crcl rv aov an hown n Fg. 3. Pont of hgh prctalty hav n orv for an pr- 9 t for 8. hl all ar nar th orgn many fall out th crcl ut th not urprng a th fnton of hgh prctalty n th numrcal prmnt much l rtrctv than rqurng a ngatv fnt tm yapunov ponnt whch guarant 00% of th uncrtant to hrn f thy hav nfntmal magntu. Th am tt for 4 ar hown n Fg.. Th rult a upon nfntmal uncrtant hown n th uppr lft panl ar n to rflct th rgon of hgh prctalty vry wll up untl 8 whch a far
11 ¼ ½ Á «Â Ã Â Æ É Ñ É Ú Ã Ã É X È ¼ Ñ Â Ï Ä Ð Å ( C. Zhmann t al. Phyc ttr A nfntmal; of cour tructur mallr than ¼ cannot tct. It com harr to ntfy rgon wth ffrng proprt n prctalty wth ncrang prcton tm; ntv pnnc on ntal conton wll lmt th prcton of prctalty a wll a prcton tlf. Thu far w hav only conr th valu of an «ponnt at a partcular valu of ¾ K; altrnatvly on mght conr rgon n whch th ponnt ngatv for all À K wth corrponng uncrtant crang monotoncally for th total uraton of K traton. hl uch ut ar of ntrt thy ar not nvtgat hr nc th tnc of mall potv valu at ntrmat ar contnt wth rgon of hgh prctalty; n th pont omtt from th t of pont for a partcular ar tho that ar a to play rturn of ll n mtorology 3. Although yon th cop of th papr t woul ntrtng to amn th patal truton an fracton of ntal conton n th ut oth a a functon of an th magntu of th ntal uncrtanty. Fg.. All panl how th Ia attractor; th ot rprnt th attractor. Intal conton on th attractor wth nhanc prctalty ar mar wth a ± whn mor than 50% of 8 ntal uncrtant how cra magntu at fnal tm ² 4. Th ffrnt panl rflctng ffrnt ntal magntu p ar contrat wth th lnar ynamc n th uppr lft panl. fracton of th amtr of th attractor. tr that rult of th n wll trmly ytm pcfc. 4 For th Hnon map th portrat of ngatv µ rval n Fg. 5 contrat wth rgon of hgh prctalty for fnt uncrtant n ntal conton wth a much harpr tt than for th Ia map. In th ca ach orvaton plac at ranom on a crcl of rau aout th tru tat; 000 uch orvaton wr conr for ach tru tat an only f th fnal tm tanc of ry on of thm wa l than ¹ wa th pont rcor a hgh prctalty. Th hown for 3 ffrnt ntal magntu n Fg. 8. For mall magntu º» 0.00 th cartography qut mlar to that of 4.3. Cotnc of chao an rgon of hgh prctalty Ç Anothr ntrtng apct concrnng th rgon wth Ê Í Î 0 th ntrplay twn th rgon an th locaton of untal proc ort whch ar lv to form th lton of th attractor n many chaotc ytm 33. Clarly an untal pro- ort cannot contan a pont wthn a rgon for whch Ò Ô Õ 0 nc that pont woul thn tal. In hort ach pont on ach untal pro ort mut avo all rgon of th tat pac n whch Ö Ø Ù 0: t not ay to how th com aout f th ort ar n on th attractor an th ara of th rgon o not vanh. If th rgon o not vanh thn th orvaton uggt a nw angl from whch to vw th trm ntvty of th tructur of th attractor to mall chang n paramtr valu. It alo ntrtng to conr th mplcaton potv Û Ü Ý mght hav on numrcal rult whn th tru attractor a tal attractng proc ort; no pont n a proc ort n l n a rgon for whch Þ ß à á 0. For a â ã 0.3 th
12 ª Ñ Ú ( C. Zhmann t al.ä Phyc ttr A å æ ç è é ê ë ì Fg. 8. All panl how th Hnon attractor; th ot rprnt ntal conton wth nhanc prctalty for fnt uncrtant. Th îffrnt ï panl long to ffrnt ntal magntu of ntal uncrtanty: a p í 0 thu concng wth Fg. 5c. In panl c an a ot at ncat that th tanc twn th mag of th tru tat an ach on of 000 nact orvaton cra at ð 4. Th orvaton wr ntally trut on a crcl of rau p cntr on. Hnon ytm ha a tal pro 4 ort. Th majorty of pont on th ort hav ñ ò 4ó ô ø ù 0 ut 4 for vral ö 0; th largt orv valu ú û ü ý mplyng a magnfcaton factor of mor than a hunr wthn on cycl. hn þÿ nonnormal th magntu of th lang ngular valu may qut larg rgarl of whthr or not th ort aymptotcally tal. th a lght ncra n a th ytm appar chaotc; th ynamc tll rml tho of th tal ort ut th attractor now cont of 4 mall clarly parat chaotc rgon ach vt n turn. It woul ntrtng to amn th truton of lang ngular valu aout tal proc pont on th am ort a a functon of paramtr; thr a potv lowr oun on th angl twn th gnvctor X Th orvaton uggt an ntrtng pol paralll twn th mpl two mnonal map an th ont of turulnc n lamnar flu flow. It ha long n nown that har flow can com turulnt at Rynol numr wll low th crtcal valu a fn y th clacal lnar talty thory a on gnvalu 34 an rfrnc throf; for a rcnt ovrvw 35. Prturaton n th rcton of th ngular vctor may grow ½raply for a fnt tm ctng nonlnar trm an thry omnatng th ont of turulnc; th long trm havor cr y th gnvalu com rrlvant. Non-normalty mght hol mlar conqunc for th numrcal traton of nonlnar ytm. Th mallt nonzro numrcal prturaton fnt ng fn y th numrcal
13 Â «Â \ G H 9 M $ ½ S O P $ Â Â u _ h g 9 f j gr; an t coul qut ffcult to ntfy a tal pro ort wth 0 y numrcally tratng th map. Th mallt nonzro numrcal prturaton mght wll grow uffcntly to rng th nonlnar trm nto play rultng n utan complcat ynamc up to th tm-cal at whch th numrcal ort clo actly upon tlf a all trajctor on gtal computr wll 3. o not clam that th th ca n th map conr aov ut mrly not th ynamc mght appar mlar an thu tr th valu of prformng a furcaton analy n aton to numrcal traton. 5. cuon an concluon X Th rult prnt n th artcl hol mplcaton for two quton of gnral ntrt: th appromaton of largt yapunov ponnt an th tmaton of lly forcat accuracy. Notng that th fnt tm yapunov ponnt can comput accuratly y tanar mtho a lowr oun on% th & ' ( rror n * aumng + " - #. / 0 N gvn y N 3 N 4 5 whl prov an uppr oun on 8. hn a goo appromaton of th yapunov vctor 9 l avalal on can alo rqur for th ffrnc : ; twn = > A B C ampl an fnt tm ponnt E F. Yt nc oth 9 l an I K ar multplcatv «rgoc tattc uncrtanty n numrcal t- Ñmat of l rman largly unquantf. Smlarly namuch a matr multplcaton o not commut attmpt to tmat th uncrtanty n N va th tanar oottrap approach mut trat wth car for trmntc ytm 5. Th goal of a uffcnt conton for th convrgnc of R tmat rman alluv. uanttatv ncary conton along wth plct tt for convrgnc n alatorc T ytm tochatc U ytm V wth potv ar cu lwhr 83. In trm of ntfyng th wort forcat ut X th ar mor mportant than th Y mply cau th Z ar largr. hl t omtm argu that th corrponng ngular vctor may pont off th attractor th [ rman rlvant a pol uncrtant aout th tru ntal tat wll alo l off th attractor almot crtanly. Infntmal un- ( C. Zhmann t al. Phyc ttr A ] ^ crtant along l hav th avantag to fr of trannt ut f of fnt magntu thy alo may l off th attractor. An vn for fnt uncrtant on th attractor fnt tm growth not oun y. Th fact mply that th ` a upr-yapunov growth foun y Ncol t al. 8 to pct: aftr tm t an uncrtanty may magnf y Ñmor than th largr of c t an t vn f th ntal uncrtanty nfntmal. Ovr what ura- ton can raltc.. opratonal uncrtant trat a nfntmal Or quvalntly what th «tnt of th lnar rgm Th an ntrtng an opn quton vn n numrcal wathr for- catng 38. Not that computng ponnt for fnt tm omwhat gratutou n that any ncra wll yl a potv ffct «ponnt; a potv ponnt mpl ffctvly ponntal growth thn only n th lmt of nfnt tm. For fnt tm a potv «ponnt mpl growth ut not ponntal growth; t only rflct th tm pnnc of th uncrtanty unr th atonal aumpton that th growth wa ponntal. Th wth of th truton n Fg. an o not ncat unform «ponntal growth on th tm cal. An altrnatv approach to quantfy prctalty y computng th tm rqur to rach an uncrtanty thrhol contrat wth th u of ffctv rat n 9 whr ampl wth oth larg l an larg uncrtanty oulng tm ar cu. A provn n Scton 4 thr ar ntal conton for whch no prturaton grow for two paragm attractor; t woul ntrtng to nvtgat th rlatv locaton of rgon wthn whch m n o p 0 an untal pro ort for larg a a functon of paramtr n a varty of low mnonal map; th numrc nar tal pro pont wth q r t 0 may alo prov of ntrt. In th papr ach ytm ha n conr n t natural tat pac t orgnal phycally rlvant co-ornat ytm. It houl not that Únthr th typcal maur of forcat rror 4 nor th fnt tm yapunov ponnt nor th fnt ampl yapunov ponnt ar nvarant unr co- 4 v w S 39 for an atypcal approach.
14 Ñ ½ \ ½ X Ñ z Œ µ ² y Ñ Â Ñ E I O Þß F P j G H ò ó l ² 4 ornat chang or vn chang n a Rmannan mtrc. In th tuy th forcat rror mply th Euclan tanc twn two pont n tat pac { { T pcfcally } ~ whr ƒ th ntty matr. Th ngular vctor corrponng to th largt fnt tm ponnt mamz th tanc at prcton tm. Thr may phycally mor rlvant fnton of tanc twn two forcat. Thn th ntty mght rplac y anothr Rmannan mtrc for ampl th nvr of th covaranc matr may rv a a natural choc whn th ffrnt rcton n tat pac play ffrnt varanc. Altrnatvly may u to account for ffrnt lvl of no on ffrnt tat pac varal to targt th varal who prcton of partcular concrn or vn to c whch varal toˆ orv Š n orr to mnmz th prc- ton rror 40 an rfrnc thrn. Th applcaton trmn th choc of mtrc. In concluon w agan tr that th rlvanc of all thr typ of ponnt rtrct to ca whr th uncrtant ar uffcntly mall that thr growth wll appromat y th lnar propagator 38 : Ž act only for nfntmal uncrtant. Bhavor of largr fnt uncrtant rqur th u of nml of ntal conton «ach contnt wth th orvaton; th rlatv prformanc of nml n th upac fn y ar contrat wth tho fn n th u- pac fn y 9 l for vral chaotc flow n 9. Th contructon of nml for forcat valuaton n mprfct mol rman an mportant u for all nonlnar ytm. Appn A. Hr w talh that for a prouct of matrc š w hav œ ž. Th pctral norm ª «of a matr 4 fn y ma 0 ± whr th mamum tan ovr all nonzro vctor ². It oun ¹ th º amplfyng powr of a matr..»¼ ² ½ ¾ ². Th pctral norm of a rotaton matr whl that of a agonal matr corrpon to th mamum lmnt. Th ngular valu compoton compo any quar matr nto th prouct of a rotaton ( C. Zhmann t al. Phyc ttr A matr a agonal matr an anothr rotaton matr hnc th pctral norm À À of aáâ matr ntcal to t frt ngular valu ÃÄ Å Æ. Gvn ÇÈ É Ê Í thn for any nonzro ² w hav Î Ï Ð ² Ñ Ò Ô Õ Ö Ö Ø Ù Ù Ú Û Ü Ý à áâ ² ã äå æç ² è éê ëì ² í îï ðñ. ô ô ö ý vng ý þ ÿ y ² uttuton yl ø ù úû ü a r. Rfrnc V.I. Olc Tranacton of th Mocow Mathmatcal Socty P. Ecmann. Rull Rv. Mo. Phy Arnol Ranom ynamcal Sytm Sprngr Brln E.N. ornz Tllu H.. I Aaranl " R. Brown M.B. Knnl Int.. Mo. # $ Phy. B R. ornr B. Hungr. Martnn % S. & Gromann S. ' ( Thoma Chao Solton an Fractal 99 * Smth Phl. Tran. R Soc. on. A C. Ncol -. S. Vanntm.-F. Royr..R. Mtorol. Soc. / Smth C. Zhmann K. Frarch..R. Mtorol. Soc Z. Toth E. Kalnay Bull. Am. Mtorol. Soc : T.N. t al. Palmr Phl. Tran. R. Soc. on A. Smth Nonlnar ynamc an Stattc chaptr ntanglng Uncrtanty an Error: On th Prctalty of ; Nonlnar Sytm Brhaur Boton 000. = > S. Vanntm C. Ncol. Atmo. Sc G. Strang nar algra an t applcaton Hartcourt Brac A B ovanovch San go 988. C 5 C. Zhmann.A. Smth. Kurth Phyca P. Grargr R. Ba A. Polt. Stattcal Phyc E. Ott Chao n ynamcal ytm Camrg Unvrty K Pr Camrg Nw Yor Mlourn 993. M N 8 G. Froylan K. u A. M Phy. Rv. E S. Ncol G. Mayr-Kr G. Hau Z. Naturforch. 38a R 983 p S T U 0 V.M. N Phyca X 3. Y Z A.S. Povy Chao [ \ ] ^ B. Echart. Yao Phyca _ ` 3 U. Ful. Kurth A.S. Povy Phyca a. c 4 f M. Hnon Commun. Math. Phy. g h K. Ia Opt. Commun Rull Pulcaton Mathmatqu l Inttut Haut Etu Scntfqu
15 n p t q u r Œ Ž ( C. Zhmann t al.m Phyc ttr A o A. Kato B. Hallatt Introucton to th Morn Thory of ynamcal Sytm Camrg Unvrty Pr S. Ellnr R. Gallant. McGaffry. Nycha Phy. tt. A C. Zhmann-Schlumohm Vorhragtun n chaotchn Sytmn un n r Pra Ph th Fr Unvrtat Brln. Mtorologch Ahanlungn. Nu Folg Sr A. v w Ban 8 Hft y z 30 { E.N. ornz. Atmo. Sc H. Muougawa M. } Kmoto S. Yon. th Atmophrc ~ Scnc ƒ.. Anron H.M. van n ool P. Cvtanovc Phy. Rv. ttr ˆ 34. Borg U. Broa Z. Naturforch. 43a N. Trfthn A.E. Trfthn S.C. Ry T.A. rcoll Š Scnc 993 p A. Smth acunarty an Chao n Natur Ph th Columa Unvrty Nw Yor NY. 98 S Appn. 3. Smth C. Zhmann. Kurth I. Glmour Nonlnar mol valuaton: -haowng proaltc forcat an wathr forcatng Ph th Ofor Unvrty P. McSharry.A. Smth Phy. Rv. tt A. Hann.A. Smth. Atmo. Sc. 999 n pr.
The dynamics of international trade invoicing
Th ynamc of ntrnatonal tra nvocng Lna S. Golbrg Fral Rrv Ban of Nw Yor an NBER Cérc Tll Gnva Grauat Inttut for Intrnatonal an Dvlopmnt Stu an CEPR Jun 4 009 Prlmnary an ncomplt frt raft. Pla o not ct or
More information5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:
.4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This
More informationThe Beer-Bouguer-Lambert law. Concepts of extinction (scattering plus absorption) and emission. Schwarzschild s equation.
Lctur. Th Br-Bougur-Lambrt law. Concpt of xtncton cattrng plu aborpton and mon. Schwarzchld quaton. Objctv:. Th Br-Bougur-Lambrt law. Concpt of xtncton cattrng aborpton and mon. Optcal dpth.. A dffrntal
More informationThe Relationship Between Loss, Conductivity, and Dielectric Constant
Th Rlatonhp Btwn Lo, Conuctvty, an Dlctrc Contant Gnral xpron Th quton ha bn ak how lo, conuctvty, an lctrc contant ar ntrrlat. Anwrng th quton rqur a farly xtnv rvw of bac lctroagntc. Frt, au that on
More informationSection 7.4: Exponential Growth and Decay
1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart
More informationSun Synchronous Orbits for the Earth Solar Power Satellite System
Sun Synchrnus Orbts fr th Earth Sar Pwr Satt Systm Sm f th mst prmsng rbts fr th Earth Sar Pwr Systm ar crcuar Sun synchrnus rbts whch nvr ntr Earth's shaw. In ths rbts, gravty grant stabz "pwr twrs" w
More informationCHAPTER 4c. ROOTS OF EQUATIONS
CHAPTER c. ROOTS OF EQUATIONS A. J. Clark School o Enginring Dpartmnt o Civil and Environmntal Enginring by Dr. Ibrahim A. Aakka Spring 00 ENCE 03 - Computation Mthod in Civil Enginring II Dpartmnt o Civil
More information1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).
PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a
More informationAuthenticated Encryption. Jeremy, Paul, Ken, and Mike
uthntcatd Encrypton Jrmy Paul Kn and M Objctvs Examn thr mthods of authntcatd ncrypton and dtrmn th bst soluton consdrng prformanc and scurty Basc Componnts Mssag uthntcaton Cod + Symmtrc Encrypton Both
More informationFinite Dimensional Vector Spaces.
Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar
More informationTerm Structure of Interest Rates: The Theories
Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor
More informationESCI 241 Meteorology Lesson 6 Humidity
ESCI 41 Mtorology Lsson 6 Humiity Raing: MT Chatr 5 PARTIAL PRESSURE In a mixtur of gass, ach gas scis contributs to th total rssur. ο Th rssur xrt by a singl gas scis is known as th artial rssur for that
More informationH ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct
H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili
More informationLecture 33: Quantum Mechanical Spin
Lctu 33: Quantu Mcancal pn Py85 Fall 9 Intnc pn Epcally w av foun tat ot patcl av an atonal ntnal g of fo call pn T tn-glac pnt 9): Eac typ of patcl a a ct nub of ntnal tat: tat --> pn _ 3 tat --> pn Etc.
More informationOperation Transform Formulae for the Generalized. Half Canonical Sine Transform
Appl Mhmcl Scnc Vol 7 3 no 33-4 HIKARI L wwwm-hrcom Opron rnorm ormul or h nrl Hl Cnoncl Sn rnorm A S uh # n A V Joh * # ov Vrh Inu o Scnc n Humn Amrv M S In * Shnrll Khnlwl Coll Aol - 444 M S In luh@mlcom
More informationInertial Navigation. Academic Year 2008/09. Master of Science in Computer Engineering, Environmental and Land Planning Engineering
Inrtal Navgaton camc Yar 8/9 Mastr o Scnc n Computr Engnrng, Envronmntal an Lan Plannng Engnrng Inrtal navgaton Rrnc systms Inrtal snsors Navgaton quatons Error bugt Psuo nrtal systm - orgn n th Earth
More informationOutside Cut 1 of fabric Cut 1 of interfacing
a a Outsi Cut o abric Cut o intracing a a b b Outsi Cut o abric Cut o intracing Placmnt lin or Mony Pockts Dix Not: F. Cut Fol b. Pin t /8 in 5. Nx bottom pics sw th 6. For t Prss, 7. Lay togth on th 8.
More informationAdvantageous Selection versus Adverse Selection in Life Insurance Market
Covr Pag Advantagous Slcton vrsus Advrs Slcton n f Insuranc Markt Ghadr Mahdav mahdav@conomcs.mbo.mda.kyoto-u.ac.j Post Doctoral Rsarch Assocat: Jaan Socty for th Promoton of Scnc JSPS, Graduat School
More informationAn ID-Based Public Key Cryptosystem based on Integer Factoring and Double Discrete Logarithm Problem
Informton urnc n Scurt Lttr (00) 09-034 n ID-B Puc K rptotm on Intgr Fctorng n Dou Dcrt Logrthm Prom hnrhkhr Mhrm Shm Sunr grw Dprtmnt of pp Mthmtc Shr Shnkrchr Engnrng og Junwn Bh (G) In Em: c_mhrm@rffmcom
More informationModern Portfolio Theory (MPT) Statistics
Modrn Portfolo Thory (MPT) Statstcs Mornngstar Mthodology Papr Novmr 30, 007 007 Mornngstar, Inc. All rghts rsrvd. Th nformaton n ths documnt s th proprty of Mornngstar, Inc. Rproducton or transcrpton
More informationSPECIAL VOWEL SOUNDS
SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)
More informationby John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia
Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs
More informationReliability-Driven Reputation Based Scheduling for Public-Resource Computing Using GA
2009 Intrnatonal Confrnc on Advancd Informaton Ntworkng and Applcatons Rlablty-Drvn Rputaton Basd Schdulng for Publc-Rsourc Computng Usng GA Xaofng Wang #, Ch Shn Yo*, Rakumar Buyya* 2, Jnshu Su # 2 #Collg
More informationWho uses our services? We have a growing customer base. with institutions all around the globe.
not taking xpr Srvic Guid 2013 / 2014 NTE i an affordabl option for audio to txt convrion. Our rvic includ not or dirct trancription rvic from prviouly rcordd audio fil. Our rvic appal pcially to tudnt
More informationNew Basis Functions. Section 8. Complex Fourier Series
Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting
More informationTransistor is a semiconductor device with fast respond and accuracy. There are two types
Tranitor Amplifir Prpard y: Poa Xuan Yap Thory: Tranitor i a miondutor dvi with fat rpond and auray. Thr ar two typ of tranitor, a Bipolar Juntion Tranitor and a Fild Efft Tranitor. Hr, w will looking
More informationEcon 371: Answer Key for Problem Set 1 (Chapter 12-13)
con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc
More informationA Formal Model for Data Flow Diagram Rules
Volum No. MAY 0 ARPN Journal o Sytm and Sotwar 00- AJSS Journal. All rght rrvd htt://www.cntc-ournal.org A Formal Modl or Data Flow Dagram Rul Rozat Ibrahm Sow Yn Yn Dartmnt o Sotwar Engnrng Unvrty Tun
More informationU.S. Department of Housing and Urban Development: Weekly Progress Report on Recovery Act Spending
U.S. Department of Housing and Urban Development: Weekly Progress Report on Recovery Act Spending by State and Program Report as of 3/7/2011 5:40:51 PM HUD's Weekly Recovery Act Progress Report: AK Grants
More informationLecture 3: Diffusion: Fick s first law
Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th
More informationBasis risk. When speaking about forward or futures contracts, basis risk is the market
Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also
More informationLearning & Development
Larg & Dvlopmt Offrg ad Proc Updat Octobr 29th, 2012 Roara Torra, L&D Global Soluto Archtct Copyrght 2012 E. I. du Pot d Nmour ad Compay. All rght rrvd. Th DuPot Oval Logo, DuPot, Th mracl of cc ad all
More informationxzy){v } ~ 5 Vƒ y) ~! # " $ &%' #!! () ˆ ˆ &Šk Œ Ž Ž Œ Ž *,+.- / 012 3! 45 33 6!7 198 # :! & ŠkŠk Š $š2 š6œ1 ž ˆŸˆ & Š)œ1 ž 2 _ 6 & œ3 ˆœLŸˆ &Šž 6 ˆŸ œ1 &Š ' 6 ª & & 6 ž ˆŸ«k 1±²\³ kµ² µ0 0 9 ² ķ¹>² µ»º
More informationOnline Load Balancing and Correlated Randomness
Onln Load Balancng and Corrlatd Randomnss Sharayu Moharr, Sujay Sanghav Wrlss Ntworng and Communcatons Group (WNCG) Dpartmnt of Elctrcal & Computr Engnrng Th Unvrsty of Txas at Austn Austn, TX 787, USA
More informationForeign Exchange Markets and Exchange Rates
Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls
More informationAn RSA-based (t, n) threshold proxy signature scheme with freewill identities
Int. J. Informaton an Computr Scurty, Vol. 1, No. 1/2, 27 21 An RSA-bas (t, n) thrshol proxy sgnatur schm wth frwll ntts Ya-Fn Chang Grauat Insttut of Accountng, Natonal Chung Hsng Unvrsty, Tachung 42,
More informationMagic Message Maker Amaze your customers with this Gift of Caring communication piece
Magic Mssag Makr maz your customrs with this Gift of aring communication pic Girls larn th powr and impact of crativ markting with this attntion grabbing communication pic that will hlp thm o a World of
More informationANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS WITH COMPOUND POISSON DEMAND
8 th Intrnatonal Confrnc of Modlng and Smulaton - MOSIM - May -2, 2 - Hammamt - Tunsa Evaluaton and optmzaton of nnovatv producton systms of goods and srvcs ANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS
More informationVersion 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final.
Vrsion.0 Gnral Crtificat of Education (A-lvl) January 0 Mathmatics MPC (Spcification 660) Pur Cor Final Mark Schm Mark schms ar prpard by th Principal Eaminr and considrd, togthr with th rlvant qustions,
More informationA Note on Approximating. the Normal Distribution Function
Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and
More informationFederation of State Boards of Physical Therapy Jurisdiction Licensure Reference Guide Topic: Continuing Competence
This document reports CEU requirements for renewal. It describes: Number of required for renewal Who approves continuing education Required courses for renewal Which jurisdictions require active practice
More informationQuestion 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
More informationControl of Perceived Quality of Service in Multimedia Retrieval Services: Prediction-based mechanism vs. compensation buffers
1 Control of Prcvd Qualty of Srvc n ultmda Rtrval Srvcs: Prdcton-basd mchansm vs. compnsaton buffrs Aurlo La Cort, Alfo Lombardo, Srgo Palazzo, Govann Schmbra Isttuto d Informatca Tlcomuncazon, Unvrsty
More informationB I N G O B I N G O. Hf Cd Na Nb Lr. I Fl Fr Mo Si. Ho Bi Ce Eu Ac. Md Co P Pa Tc. Uut Rh K N. Sb At Md H. Bh Cm H Bi Es. Mo Uus Lu P F.
Hf Cd Na Nb Lr Ho Bi Ce u Ac I Fl Fr Mo i Md Co P Pa Tc Uut Rh K N Dy Cl N Am b At Md H Y Bh Cm H Bi s Mo Uus Lu P F Cu Ar Ag Mg K Thomas Jefferson National Accelerator Facility - Office of cience ducation
More informationSection 3: Logistic Regression
Scton 3: Logstc Rgrsson As our motvaton for logstc rgrsson, w wll consdr th Challngr dsastr, th sx of turtls, collg math placmnt, crdt card scorng, and markt sgmntaton. Th Challngr Dsastr On January 28,
More informationQUANTITATIVE METHODS CLASSES WEEK SEVEN
QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.
More informationModelling Exogenous Variability in Cloud Deployments
Modllng Exognous Varablty n Cloud Dploymnts Gulano Casal 1 Mrco Trbaston 2 g.casal@mpral.ac.u trbaston@pst.f.lmu.d 1 : Impral Collg London, London, Untd Kngdom 2 : Ludwg-Maxmlans-Unvrstät, Munch, Grmany
More informationPRACTICAL ADVANTAGES OF USING THE MECHANICS OF CONTINUUM TO ANALYSE DEFORMATIONS OBTAINED FROM GEODETIC SURVEY
PRACTICAL ADVANTAGES OF USING THE MECHANICS OF CONTINUUM TO ANALYSE DEFORMATIONS OBTAINED FROM GEODETIC SURVEY Mlan TALICH Rsarch Insttut of Godsy, Topography and Cartography, Zdby 98, CZ-5 66, Czch Rpublc
More informationCampus Sustainability Assessment and Related Literature
Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626
More informationCumulative effects of idalopirdine, a 5-HT 6 antagonist in advanced development for the treatment of mild and moderate Alzheimer s disease
Cumulativ ffct of idalopirdin, a 5-HT 6 antagonit in advancd dvlopmnt for th tratmnt of mild and modrat Alzhimr dia Congrè National d unité d oin, d évaluation t d pri n charg Alzhimr (USPLAZ) productio
More informationFitting Experimental Data to Straight Lines (Including Error Analysis)
prpard by Anntt D. Shn, August 006 Fttng Eprmntal Data to Straght Lns Includng Error Analyss Th purpos of ths documnt s to assst studnts wth statstcal analyss of prmntal data by lstng som quatons for straght
More informationLife Analysis for the Main bearing of Aircraft Engines
f Analyss for th Man barng of Arcraft Engns Png n a, Xaolng Zhang a, png H a, anglang Dng a a School of Mchancs, Elctronc, and Industral Engnrng, Unvrsty of Elctronc Scnc and Tchnology of Chna, Chngdu,
More informationThe example is taken from Sect. 1.2 of Vol. 1 of the CPN book.
Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl
More informationGRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM
GRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM BARRIOT Jean-Perre, SARRAILH Mchel BGI/CNES 18.av.E.Beln 31401 TOULOUSE Cedex 4 (France) Emal: jean-perre.barrot@cnes.fr 1/Introducton The
More informationState Survey Results MULTI-LEVEL LICENSURE TITLE PROTECTION
MULTI-LEVEL LICENSURE TITLE PROTECTION Prior AK MN TN MO AL MO KY VA AZ MS MO DC NYC NE HI ME OR IA RI PA IL TX VA KS WA LA WI MA WV Prior AK ME OR TN AL MI PA HI CO MS FL DC NC MN IA NE UT IL NV WA IN
More informationd e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o
P o s t a w y s p o і e c z e t s t w a w o b e c o s у b n i e p e і n o s p r a w n y c h z e s z c z e g у l n y m u w z g lb d n i e n i e m o s у b z z e s p o і e m D o w n a T h e a t t i t uodf
More informationNo 28 Xianning West Road, Xi an No 70 Yuhua East Road, Shijiazhuang. yongchunliang@hotmail.com
On-Ln Dynamc Cabl Ratng for Undrground Cabls basd on DTS and FEM Y.C.Lang *, Y.M.L School of Elctrcal Engnrng * Dpartmnt of Elctrcal and Informaton X an Jaotong Unvrsty Hb Unvrsty of Scnc and Tchnology
More informationThe Lincoln National Life Insurance Company Variable Life Portfolio
The Lincoln National Life Insurance Company Variable Life Portfolio State Availability as of 12/14/2015 PRODUCTS AL AK AZ AR CA CO CT DE DC FL GA GU HI ID IL IN IA KS KY LA ME MP MD MA MI MN MS MO MT NE
More informationSharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means
Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian
More informationHow do US equity funds perform when it comes to risk?
How do US quity fund prform whn it com to rik? Atract Thi papr xamin th prformanc of US no-load quity mutual fund. Fund prformanc i drivd uing tochatic frontir analyi for a flxil functional form. Thi analyi
More informationFederation of State Boards of Physical Therapy Jurisdiction Licensure Reference Guide Topic: Continuing Competence
This document reports CEU (continuing education units) and CCU (continuing competence units) requirements for renewal. It describes: Number of CEUs/CCUs required for renewal Who approves continuing education
More informationCPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions
CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:
More informationFactorials! Stirling s formula
Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical
More informationPass by Reference vs. Pass by Value
Pa by Reference v. Pa by Value Mot method are paed argument when they are called. An argument may be a contant or a varable. For example, n the expreon Math.qrt(33) the contant 33 paed to the qrt() method
More informationCAFA DIVERSITY JURISDICTION
Cla Action 101: CAFA Divrity Juridiction at a Glanc By Kathryn Honckr Jun 20, 2013 In thi dition of Cla Action 101, w giv a viual guid to th Cla Action Fairn Act (CAFA), 28 U.S.C. 1332(d)(2), to hlp you
More informationAdverse Selection and Moral Hazard in a Model With 2 States of the World
Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,
More informationGame of Platforms: Strategic Expansion into Rival (Online) Territory
Gam of Platforms: Stratgc Expanson nto Rval (Onln) Trrtory Sagt Bar-Gll Ϯ Abstract Onln platforms, such as Googl, Facbook, or Amazon, ar constantly xpandng thr actvts, whl ncrasng th ovrlap n thr srvc
More informationThe Mathematical Derivation of Least Squares
Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell
More informationVector Network Analyzer
Cours on Microwav Masurmnts Vctor Ntwork Analyzr Prof. Luca Prrgrini Dpt. of Elctrical, Computr and Biomdical Enginring Univrsity of Pavia -mail: luca.prrgrini@unipv.it wb: microwav.unipv.it Microwav Masurmnts
More informationME 612 Metal Forming and Theory of Plasticity. 6. Strain
Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.
More informationE X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S
E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S Fair Valu 1 Valuation Variabls Tabl 1 blow shows th variabls us in th rspctiv valuation
More informationFirst Cut Stock Study Report
Firt Cut Stock Study Rort Comany Nam: Comutr Program and Sytm Tickr: CPSI Dat of Study: //20 Pric: $ 6.7 Your Nam: Email addr: Joyc Ivanovitch joyc.ivanovitch@gmail.com City: Nw York Stat: NY Chatr Nam
More informationProfessional Liability Errors and Omissions Insurance Application
If coverage is issued, it will be on a claims-made basis. Notice: this insurance coverage provides that the limit of liability available to pay judgements or settlements shall be reduced by amounts incurred
More informationNAAUSA Security Survey
NAAUSA Security Survey 1. How would you rate the importance of each of the following AUSA security improvements. Very important Somewhat important Not too important Not at all important Secure parking
More informationProbabilistic maintenance and asset management on moveable storm surge barriers
Probabilistic maintnanc an asst managmnt on movabl storm surg barrirs Patrick Wbbrs Ministry of Transport, Public Works an Watr Managmnt Civil Enginring Division A n a l y s O n r h o u F a a l k a n s
More informationHow To Rate Plan On A Credit Card With A Credit Union
Rate History Contact: 1 (800) 331-1538 Form * ** Date Date Name 1 NH94 I D 9/14/1998 N/A N/A N/A 35.00% 20.00% 1/25/2006 3/27/2006 8/20/2006 2 LTC94P I F 9/14/1998 N/A N/A N/A 35.00% 20.00% 1/25/2006 3/27/2006
More informationA descriptive analysis of state-supported formative assessment initiatives in New York and Vermont
ISSUES& ANSWERS REL 2012 No. 112 At Education Development Center, Inc. A descriptive analysis of state-supported formative assessment initiatives in New York and Vermont ISSUES& ANSWERS REL 2012 No. 112
More informationFederation of State Boards of Physical Therapy Jurisdiction Licensure Reference Guide Topic: PTA Supervision Requirements
These tables provide information on what type of supervision is required for PTAs in various practice settings. Definitions Onsite Supervision General Supervision Indirect Supervision The supervisor is
More informationINFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY
VOUME 2, 2 NFUENCE OF DEBT FNANCNG ON THE EFFECTVENE OF THE NVETMENT PROJECT WTHN THE MODGANMER THEORY Pr Brusov, Taaa Flaova, Naal Orhova, Pavl Brusov, Nasa Brusova Fac Uvrsy ur h Govrm of h Russa Frao,
More informationVictims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
More informationNon-Linear and Unbalanced Three-Phase Load Static Compensation with Asymmetrical and Non Sinusoidal Supply
Non-Lnar and nbalancd Thr-Phas Load Statc Comnsaton wth Asymmtrcal and Non Snusodal Suly Rys S. Hrrra and P. Salmrón Elctrcal Engnrng Dartmnt Escula Poltécnca Suror, nvrsty of Hulva Ctra. Palos d la Frontra,
More informationLecture 20: Emitter Follower and Differential Amplifiers
Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.
More informationCRITO PLATO KRITWN PLATWN
CRITO KRITWN PLATO PLATWN CRITO KRITWN PLATO PLATWN Translat y Cathal Woos an Ryan Pak 2007-2012 This work is lins unr th Crativ Commons Attriution-Nonommrial-No Drivativ Works 3.0 Lins. To viw a opy of
More informationMathematical Modelling and Predictive Control of Permanent Magnet Synchronous Motor Drives
ransactons on Elctrcal Engnrng, Vol. (), o. 4 4 athatcal ollng an Prctv ontrol o Prannt agnt ynchronos otor Drvs Květoslav la Dpt. o aptv ysts, Insttt o Inoraton hory an toaton o th R Po Voárnso věží 4,
More informationPut the human back in Human Resources.
Put the human back in Human Resources A Co m p l et e Hu m a n Ca p i t a l Ma n a g em en t So l u t i o n t h a t em p o w er s HR p r o f essi o n a l s t o m eet t h ei r co r p o r a t e o b j ect
More informationm Future of learning Zehn J a hr e N et A c a d ei n E r f o l g s p r o g r a m Cisco E x p o 2 0 0 7 2 6. J u n i 2 0 0 7, M e sse W ie n C. D or n in g e r, b m u k k 1/ 12 P r e n t t z d e r p u t
More informationNew York Public School Spending In Perspec7ve
New York Public School Spending In Perspec7ve School District Fiscal Stress Conference Nelson A. Rockefeller Ins0tute of Government New York State Associa0on of School Business Officials October 4, 2013
More information3.6. Metal-Semiconductor Field Effect Transistor (MESFETs)
.6. Metal-Semcouctor Fel Effect rator (MESFE he Metal-Semcouctor-Fel-Effect-rator (MESFE cot of a couctg chael potoe betwee a ource a ra cotact rego a how the Fgure.6.1. he carrer flow from ource to ra
More informationMininum Vertex Cover in Generalized Random Graphs with Power Law Degree Distribution
Mnnum Vrtx Covr n Gnralzd Random Graphs wth Powr Law Dgr Dstrbuton André L Vgnatt a, Murlo V G da Slva b a DINF Fdral Unvrsty of Paraná Curtba, Brazl b DAINF Fdral Unvrsty of Tchnology - Paraná Curtba,
More informationRegional Electricity Forecasting
Regional Electricity Forecasting presented to Michigan Forum on Economic Regulatory Policy January 29, 2010 presented by Doug Gotham State Utility Forecasting Group State Utility Forecasting Group Began
More informationAdvances in Military Technology Vol. 10, No. 1, June 2015
AM Avance n Mltary echnology Vol., No., June 5 Mechancal an Computatonal Degn for Control of a -PUS Parallel Robot-bae Laer Cuttng Machne R. Zavala-Yoé *, R. Ramírez-Menoza an J. Ruz-García ecnológco e
More informationPart 2 - Notes on how to complete your application form
Tuton F Loan applcaton nots for nw part-tm studnts 2012/13 About ths nots Ths nots should b rad along wth your Tuton F Loan applcaton form. Th nots ar splt nto thr parts: Part 1 - Gnral nformaton Part
More information21 Vectors: The Cross Product & Torque
21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl
More informationTITLE POLICY ENDORSEMENTS BY STATE
TITLE POLICY ENDORSEMENTS BY STATE State Endorsement ID Endorsement Description AK ARM ALTA 6 Adjustable (Variable) Rate AK BALLOON FNMA Balloon Endorsement AK CONDO ALTA 4 Condominium AK COPY FEE Copies
More informationFIELD SERVICE BULLETIN
FSB_971_1A HUGHES NETWORK SYSTEMS FIELD SERVICE BULLETIN SUBJECT: Updated Commissioning Rules FSB NUMBER: FSB_971_1A FSB ISSUE DATE: 7/1/9 SUBMITTED BY: J. Callow APPROVED BY: D. Dostalik CHANGE TO BE
More informationIncomplete 2-Port Vector Network Analyzer Calibration Methods
Incomplt -Port Vctor Ntwork nalyzr Calibration Mthods. Hnz, N. Tmpon, G. Monastrios, H. ilva 4 RF Mtrology Laboratory Instituto Nacional d Tcnología Industrial (INTI) Bunos irs, rgntina ahnz@inti.gov.ar
More informationSAN JOSE UNIFIED RETURNING VOLUNTEER DRIVER PACKET
SAN JOSE UNIFIED ETUNING VOLUNTEE DIVE PACKET VOLUNTEE DIVE S NAME: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME
More informationLong run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange
Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity
More informationState Corporate Income Tax-Calculation
State Corporate Income Tax-Calculation 1 Because it takes all elements (a*b*c) to calculate the personal or corporate income tax, no one element of the corporate income tax can be analyzed separately from
More informationThe influence of advertising on the purchase of pharmaceutical products
Th nflunc of advrtsng on th purchas of pharmacutcal products Jana VALEČKOVÁ, VŠB-TU Ostrava Abstract Th sz of th pharmacutcal markt and pharmacutcal sals s ncrasng constantly. Th markt s floodd wth nw
More information