The Dirac equation in Rindler space: A pedagogical introduction

Size: px
Start display at page:

Download "The Dirac equation in Rindler space: A pedagogical introduction"

Transcription

1 The Drc equton n Rndler spce: A pedgogcl ntroducton Dvd McMhon Snd Ntonl Lbortores Albuquerque, NM Eml: dmmcmh@snd.gov Pul M. Alsng Deprtment of Physcs nd Astronomy, Unversty of New Meco, Albuquerque, NM lsng@hpc.unm.edu Pedro Embd Deprtment of Mthemtcs nd Sttstcs, Unversty of New Meco, Albuquerque, NM December 8, 5 Abstrct A pedgogcl ntroducton to the Drc equton for mssve prtcles n Rndler spce s presented. The spn connecton coeffcents re eplctly derved usng technques from generl reltvty. We then pply the Lgrnge-Green dentty to gretly smplfy clculton of the nner products needed to normlze the sttes. Fnlly, the Bogolubov coeffcents reltng the Rndler nd Mnkowsk modes re derved n n ntutve mnner. These dervtons re useful for students nterested n lernng bout quntum feld theory n curved spce-tme. 1 Introducton One of the most drmtc results n the erly ttempts to mrry quntum feld theory to generl reltvty ws the dscovery by Hwkng tht blck holes rdte 1. Ths nterestng result ws soon followed by the dscovery by Unruh tht unformly ccelerted detector would be mmersed n bth of therml rdton wth temperture T = ħ /π, where s the ccelerton of the observer ( k = c= 1. Moreover, n ccelerted observer n flt spce-tme hs hs or her own event horzon. The result of Unruh cn be encpsulted by syng ech observer hs hs or her own vcuum. These celebrted results, together wth bt of smplcty tht flt spce-tme brngs, hve mde Rndler spce very nterestng ren wthn whch to study quntum feld theory. Whle most tretments hve focused on the sclr feld, one effort mny yers go brefly showed tht unformly ccelerted observer would see flu of mssve Drc prtcles 3. Due to the recent nterest n quntum nformton theory n reltvstc contet, n prtculr the consderton of teleportton wth n ccelerted observer 4, n ths prmrly pedgogcl

2 pper we recll the mn results ssocted wth Drc prtcles n Rndler spce. Our motvton s two fold. Frst, ths pper s desgned to ssst students nterested n studyng quntum feld theory n curved spce-tme. In ddton, we m to put the necessry mchnery on the tble so tht lter work cn consder quntum nformton theory wth ccelerted observers usng complete reltvstc frmework. The outlne of ths pper s s follows. After brefly descrbng Rndler coordntes nd the form of the Drc equton n curved spce-tme, we derve the spn connecton coeffcents by consderng the geodesc equton. In the net secton, we ddress the crucl problem of normlzng the sttes, whch re gven n terms of Hnkel functons. Ths s non-trvl problem. Ths pper ddresses tht fct by pplyng the Lgrnge-Green dentty to gretly smplfy the clculton. To our knowledge, ths pproch hs not been used n ths cse. Fnlly, fter normlzng the sttes, we show how to wrte the Mnkowsk wve functons n terms of the Rndler wve functons nd vce vers. Ths llows us to conclude the pper by dervng the Bogolubov coeffcents. Rndler Coordntes In ths pper we consder the fmlr cse of unformly ccelerted observer n Mnkowsk spce-tme. As shown n Fg. 1, we consder two-dmensonl Mnkowsk spce wth coordntes tz, dvded nto four regons. These re the rght Rndler wedge (regon I, the left Rndler ( wedge (regon II nd the future (F nd pst (P. Settng ħ = c = 1, we defne Rndler vu, whch cn be relted to Mnkowsk coordntes n the followng wy coordntes ( t = usnhv z = ucoshv n regons I, II v t z u z z t ( ( 1 = tnh / = sgn t = ucoshv z = usnhv n regons F, P v z t u t t z ( ( 1 = tnh / = sgn (1 Snce the clcultons descrbed n ths pper wll be smlr for ll four regons, we focus on regon I, whch we denote s Rndler spce. In ths regon, strtng wth the two-dmensonl Mnkowsk lne element ds = dt dz nd usng (1, t s esy to show tht the lne element tkes the form ds = udv du ( Note tht v s tmelke coordnte nd u s spcelke coordnte-n regon I. Ths wll chnge n the other regons. Usng ths lne element we cn red off the components of the metrc tensor. These cn be rrnged n mtr s follows u g µν = 1 (3

3 The components of g µν cn be found esly by nvertng (3. We fnd tht 1/ u g µν = 1 (4 In the net secton, we proceed to derve the form of the Drc equton n Rndler spce. Fg. 1. The dvson of Mnkowsk spce nto four regons, the rght Rndler wedge (I, the left Rndler wedge (II, future (F, nd pst (P. The hyperbol s the worldlne of n ccelerted observer. 3 The Drc equton n Rndler spce Gven generl curvlner coordntes wth metrc g µν, the Drc equton s wrtten s 5 γ µ µ +Γµ m ψ = (5 where the Γ µ re known s the spn connecton coeffcents. These re 4 4 mtrces tht cn be wrtten n terms of the Gmm mtrces n the followng wy ν 1 γ Γ = γ +Γ µ 4 ν µ ν λµ γ λ (6 Mny reders wll recognze the ν Γ λµ s the fmed Chrstoffel symbols fmlr from generl µ reltvty. Note tht the γ shown here re not the usul Drc mtrces from flt spce, nsted they depend on the metrc n the followng wy

4 γ γ + γ γ = g (7 µ ν ν µ µν We cn use ths equton to relte these gmm mtrces to the usul flt spce vrety. If we denote the flt spce gmm mtrces by together wth (7 nd (3, we mmedtely deduce tht Usng g µν to rse ndces t cn be shown tht µ γ, usng the fct tht ( ( 3 γ =+ 1 nd ( γ = 1 γ = g = u γ, γ = uγ (8 ( γ = g = 1 = γ, γ = γ ( γ = γ, γ = γ (1 u Our net tsk on the rod to computng the spn connecton coeffcents s to turn to the problem of fndng the form of the Chrstoffel symbols. To do ths we begn wth bref study of the geodesc equton. Generl reltvty tells us tht the pths of prtcles movng wthout the nfluence of ny eternl forces re determned by the followng equton µ ν λ ν +Γ = (11 where the dervtves ndcted by dot re tken wth respect to n ffne prmeter. The eplct form of the Chrstoffel symbols nd therefore of the spn connecton coeffcents cn be determned n frly pnless fshon by pplyng Lgrngn procedure 6. We strt by defnng quntty whch we lbel s K In the cse of Rndler coordntes n regon I, we hve 7 λµ 1 µ ν K = g µν (1 1 K = uv u (13 Cllng the ffne prmeter τ, we cn use K to rewrte the geodesc equton, nd then compre t wth (11 to smply red off the Chrstoffel symbols. We hve K d K µ µ = dτ (14 Frst we consder the v coordnte. Settng µ = vwe fnd

5 K d K =, = v dτ v (15 Usng the defnton of K gven n (13 ths leds to the followng equton d K = uuv + uv dτ v (16 Rerrngng terms nd settng equl to zero by vrtue of (15 gves v + uv = (17 u Comprson wth the geodesc equton (11 llows us to red off the vlues of the followng Chrstoffel symbols v v Γ uv =Γ vu = (18 u A smlr procedure usng µ = ushows tht the only other non-zero Chrstoffel symbol s gven by Γ = u (19 u vv Now tht we hve eplct epressons for the Chrstoffel symbols, we cn wrte down the spn connecton coeffcents usng (6. We wll clculte one emple eplctly. The equton for Γ s gven by v 1 γ 1 v Γ v = γ + γ Γ λvγ 4 v 4 λ ( We re followng the summton conventon, so the nde λ s to be summed over ll coordntes. Wrtng ths result n terms of the flt spce gmm mtrces nd eplctly wrtng out the sum, we hve Γ = uγ Γ γ + γ Γ γ 4 4 u = ( γ γ + γ γ = γ γ v 3 u v uv 3 vv (1

6 A smlr procedure cn be used to show tht Γ =. We now hve everythng we need to wrte down the full Drc equton. Usng (1 together wth (1 n (5 we fnd tht u µ = γ +Γ m µ µ ψ ψ ψ ψ = + u v u u ( 3 3 γ γ γ γ γ ψ mψ ( γ Usng ( =+ 1 nd rerrngng terms gves ψ ψ = u + + m v u 3 3 γ γ γ γ ψ γψ (3 Now we defne 3 γ γ = α 3 nd denote γ by β to wrte the Drc equton s ψ 1 = u α3 + + βm ψ v u u (4 In ths pper we use the representton where α =, β = (5 Our net tsk s to wrte down the solutons to (4 nd normlze the sttes. 3 Normlzton wth the Lgrnge-Green Identty The ultmte gol of the present eercse s to relte the complete Mnkowsk wve functon to the Rndler wve functons n ll four regons. In order to do ths properly we wll need to normlze the sttes. Ths turns out to be frly mthemtclly dffcult nd my even pper bt mysterous to most reders. However, s we ll see below, ths process s gretly smplfed by pplyng the Lgrnge-Green dentty. The frst step s to look t (4 by thnkng of the Drc equton s dfferentl opertor. We wll cll tht opertor L nd note by lookng t the rght hnd sde of the Drc equton (4, we cn wrte L s 1 L = u α3 + + βm u u (6

7 Of course we cn vew the Drc equton s n opertor nd look t the left sde of (4 s well. In tht cse we cn wrte v Sttonry sttes wll be of the form ψ e ψ ( u mmedtely yelds L = (7 v =, n whch cse the pplcton of (7 Lψ = ψ (8 To proceed further we wll need the eplct form of the sttes. In ths pper we consder the spnup cse whereψ s four component column vector gven by 3 ψ ( uv, = e v φ φ ( mu φ ( mu + ( mu + φ ( mu + (9 The φ ± ( mu stsfy the followng dfferentl equton d d ± ± u u φ ( mu = mu φ ( mu (3 du du Solutons of (3 re gven n terms of Hnkel functons of the frst knd In regon I, Drc stte L [ nd φ s gven by (1 ( mu H ( mu φ ± ± 1/ (,, = (31 4 ψ C. Therefore the nner product between two sttes ψ ψφ ψφdu = (3 In order to normlze the sttes ψ s gven n (9 we wll need to compute the nner product ψ ψ = ψψ du (33

8 We cn clculte ths ntegrl by pplyng the Lgrnge-Green dentty (descrbed n Append B. We begn by emnng the djont of the dfferentl opertor gven n (6. In prtculr, we wsh to show tht ( Lψ φ = ( uψαφ + ψ ( Lφ u 3 (34 Ths relton corresponds to tht descrbed by (9 n the ppend. In due course we wll see the vlue of ths relton by notng tht when consderng nner products of sttes, the presence of the term ( uψαφ 3 wll llow us to wrte down the results of the relevnt ntegrls lmost by u nspecton. Let s consder the epresson ( Lψ φ n detl. Usng (4 nd (6, we see tht ths s ψ α3 ψ α3 3 3 α u + ψ + βmψ φ = α u φ+ ψ φ + ( βmψ φ u u u u (35 We pproch the gol of rewrtng ths epresson so tht L s ppled to φ by consderng ech pece on the rght hnd sde of (35 n turn. Begnnng wth the frst term, we hve ψ ψ ψ α u φ u α φ α uφ u = = u u ( (36 However, notce tht ( uφ ψ φ ψ ( ψ α3uφ = ( α3uφ + ψ αφ 3 + ψ α3u = ( α3uφ + ψ α3 (37 u u u u u And so we cn wrte ( uφ ψ α3u φ ( ψ α3uφ ψ α3 u = u u (38 Turnng to the second term n (35 we hve 3 α3 α ψ φ = ψ φ (39 Fnlly, for the lst term we fnd

9 ( m β ψ φ = ψ mβφ (4 Puttng these results together gves φ u u α3 + ψ φ+ ψ mβφ φ α3 = ( ψα3uφ + ψ α3u φ+ mβφ u u ( Lψ φ = ( ψα uφ ψ α u ψ ( αφ (41 However, lookng bck t the defnton of L, we hve φ α3 α3u φ+ mβφ= Lφ u (4 Therefore we hve shown tht ( Lψ φ = ( uψαφ + ψ ( Lφ u 3 (43 Notce tht usng the result of the Lgrnge-Green dentty s ppled to the Drc equton, we hve demonstrted tht b b b ( Lψ φdu = ψ ( uα3 φ + ψ ( Lφ du (44 We ll see very shortly tht t s now possble to compute the normlzton ntegrl gven n (33 usng (44. Now we set ψ ψ nd φ ψ nd recll (8, where we found tht Lψ = ψ. Then the left hnd sde of (44 becomes Now, mkng the substtutons ψ of (44 gves us ( becomes b ( Lψ ψ du = ( ψ ψ du= ψψ du (45 ψ nd L du = du φ ψ n the lst term of the rght-hnd sde ψ ψ ψ ψ. Puttng our results together (44

10 b b b ψψ du = ψ( uα3 ψ + ψψ du (46 Movng both ntegrls to the left hnd sde nd dvdng through by gves the result we seek u ψ ψ = ψψ du = ψαψ 3 (47 u To proceed we need to wrte down n eplct epresson for ψαψ 3. Recllng the form of the spn-up sttes gven n (9, fter some lgebr we fnd tht u * * u + + ψαψ 3 = ( φ φ ( φ φ u (1 (1 (1 (1 = H 1/( mu H 1/( mu H + 1/( mu H + 1/ ( mu (48 Now we proceed to evlute ths epresson t the lmts gven n (47. Ths wll be smplfed somewht due to the symptotc form of the Hnkel functons wth lrge rgument. For lrge z, 1 Hν ( z cn be wrtten s 8 1 νπ π Hν ( z ep z π z 4 (49 The presence of the term becomes π z ensures tht s z, these terms wll vnsh. Therefore (47 u u ψψ du = ψαψ 3 = lm ψαψ 3 (5 u Snce both terms n (48 re smlr, let s just focus on one of them. We consder u (1 (1 lm H + 1/ mu H + 1/ mu u ( ( (51 Hnkel functons cn be wrtten n terms of the modfed Bessel functons of the second knd n the followng wy

11 π νπ/ (1 π / Kν ( z = e Hν ( ze (5 Ths s convenent becuse for smll z the symptotc form of the K ( z K ν ( z ν 1 Γ Invertng (5 nd usng (53 we cn wrte (51 s ( ν ν s gven by (53 ν z 1/ 1/ u + 1/ π / Γ + 1/ + 1/ π/ Γ + 1/ lm e e u + 1/ + 1/ π π ( ( ( ( mu ( + / ( ( ( ( ( ( mu π 4 e 1 = lm Γ( + 1/ Γ u mπ m u ( + 1/ We cn wrte ths result n more convenent form by notcng tht (54 ( ( = ep ln = ep ( ln u u u (55 Usng Euler s dentty nd rerrngng terms, (54 becomes 4 π lm e u m ( cos ( ln( 1/ u ( + / π m ( ( u sn ln 1/ + Γ( + 1/ Γ ( + 1/} (56 In Append A we wll show tht

12 1 cos( ln lm u = u 1 sn( ln u lm = πδ u ( (57 Usng these lmts (56 smplfes to u (1 (1 4 lm H + 1/ mu H + 1/ mu e u mπ 1/ 1/ δ (58 π ( ( = Γ( + Γ ( + ( To obtn the fnl result, note tht the Gmm functons stsfy ( 1/ ( 1/ ( 1/ π Γ + Γ + = Γ + = (59 cosh π Ths mens tht we cn rewrte (58 n the form π u (1 (1 4e lm H + 1/ mu H + 1/ mu δ u mcoshπ ( ( = ( (6 The mnus sgn n (5 cncels the one here. Moreover, we obtn the ect sme result modulo the mnus sgn for the other term n (48. Addng these results together we fnd tht the normlzton s gven by π 8e ψ ψ = ψψ du = δ ( (61 mcoshπ 3 Epressng Mnkowsk wve functons n terms of Rndler wvefunctons tz plne. Therefore n order to epress t n terms of Rndler wve functons, we need to know the form of the Rndler sttes n ll four regons. We now descrbe the sttes n regons II, F, nd P nd then pece them together to wrte down the Mnkowsk wve functon. The Mnkowsk wve functon s defned over the entre (,

13 In order to dstngush the sttes of regons I, II, F, nd P we wll dopt the notton ψ I, II, F, nd P ψ ψ ψ respectvely. Furthermore, t s necessry to dstngush between postve nd negtve frequency modes n the future nd pst regons. These cn be denoted by F( + F( P( + P( ψ, ψ, ψ, nd ψ. Fnlly, we lbel the Mnkowsk wve functons by ψ ± where ( ± denotes prtcle/nt-prtcle mode respectvely. The dervton nd normlzton of the Rndler sttes n the other regons s smlr to tht used n the prevous secton. So we smply stte the results, contnung to emne the spn-up cse. In the future regon, the Drc equton ssumes dfferent form becuse u becomes tmelke coordnte nd v becomes spcelke coordnte. The spn-up stte n the future regon s gven by 3 ψ Φ Φ + F( + v = e + Φ +Φ (6 In ths cse the components of the wve functon re gven by Hnkel functons of the second knd The negtve frequency stte s found to be ( ± 1/ ( mu ± Φ = H (63 ψ φ φ + F( v = e + φ + φ (64 (1 where φ ± = H ± 1/( mu. Usng the procedure outlned n secton, the student cn verfy tht the normlzton of the sttes n the future regon s gven by kπ F( l F( k 16e ψ ψ = δ ( δkl ( kl, =± 1 (65 m The sttes n regons P nd II re relted to the sttes n regons F nd I n the followng wy ( ± ( ( ( ( ( ψ tz, = αψ t, z, ψ tz, = αψ t, z P F II I 3 3 (66 As n sde, note tht strctly spekng t s necessry to wrte down the wve functons so tht they re only defned n the pproprte regon. Ths cn be done usng the Hevsde step

14 functon. For our purposes, t won t be necessry to worry bout ths eplctly. We smply note tht ech Rndler wve functon s defned n ts gven regon nd s zero elsewhere. Now let s turn to the problem of epressng the Mnkowsk sttes n terms of the Rndler sttes. In prevous work 3 comple rgument nvolvng source terms on the lght cone (whch s bound to confuse the student s used to suggest the form of the Mnkowsk wve functon. We nsted tke more heurstc pproch bsed on smple mthemtcl rguments. Observng tht the Mnkowsk modes must cover the entre ( tz, plne, we construct them by ptchng together the Rndler wve functons ψ, ψ ( ±, ψ ( ±, ndψ contnuty t the boundres of ech regon. I F P II. Then we demnd To ptch together the Rndler wve functons, let s just sum them up wth rbtrry constnts. A postve frequency Mnkowsk mode cn then be wrtten n terms of the Rndler modes n the followng wy I F( P( II ( ψ = N ψ + ψ + ψ + ψ (67 where N s normlzton constnt. A negtve frequency Mnkowsk mode s defned smlrly I ( ( ( F P II ψ = M bψ + bψ + bψ + bψ (68 In our smple pproch, to determne the vlues of the s we cn compre the wve functons n ech regon long the boundres where contnuty n Mnkowsk spce requres they mtch up. For emple, consder the Rndler wve functons n regons I nd II, whch must mtch up t u =. We cn fnd the constnts by tkng the lmt n ech regon s u. Ths cn be demonstrted eplctly by consderng the upper component of ech spnor. ( In the followng we use ψ I U nd ψ IIU ( to denote the upper component of the spnors n regons I nd II respectvely. In the cse of regon I, the reder cn refer to (9 to recll tht the upper component of the spnor s gven by ( ( IU ( (1 (1 ψ + = H 1/ mu + H 1/ mu (upper component (69 Usng (5 we cn wrte ths n terms of the modfed Bessel functons of the second knd, gvng IU ( + ψ = 1/ + + 1/ ( 1/ π / ( 1/ π/ ( ( e K mu e K mu π (7 Recllng the behvor of the Bessel functons for smll rgument, for smll u ths becomes ψ ( ( ( ( Γ 1/ Γ + 1/ π mu mu 3/ 1/ IU ( π/ π/4 π/4 e e + e 1/ + 1/ (71

15 To determne the form of the wve functon n regon II for smll u, we pply (66 together wth the orgnl defnton of the coordntes s gven n (1. The u,v coordntes n ths regon re gven by ( v z t u z z t = rctnh /, = sgn( (7 From ths we see tht settng z zt, tleves v unchnged whle u u. We fnd tht the upper component of the spnor n regon II s u s gven by ψ ( ( ( ( 3/ 1/ IIU ( π/ π/4 Γ 1/ Γ + 1/ e e + 1/ + 1/ π mu mu (73 Now, for the (+ frequency mode, we hve 1 = e π. Therefore we cn proceed s follows ψ ( ( ( ( Γ 1/ Γ + 1/ π mu mu (74 ( ( π ( mu ( mu 3/ 1/ IIU ( π/ π/4 + 1/ 1/ e e ( 1 + ( 1 1/ + 1/ 3/ 1/ 3 π/ π /4 Γ 1/ Γ + 1/ = e e + 1/ + 1/ Comprson wth the epresson we obtned for the wve functon n regon I (71 s u shows tht the followng reltonshp must hold = (75 II I e π ψ ψ A smlr procedure cn be used to compre the sttes n the future nd pst regons to tht n regon I. We fnd tht ψ = e e ψ, ψ = e e ψ (76 F( + π / /4 I P( + π / /4 I Lookng bck t the epresson used for the Mnkowsk wve functon (67 nd tkng 1 to be unty, (75 nd (76 tell us tht the postve frequency Mnkowsk wve functon should be wrtten s ( I π / π /4 F ( π / π /4 P ( π II ψ = N ψ e e ψ + e e ψ e ψ (77 The normlzton constnt cn be determned by requrng tht ( ψ ψ = δ (78 + +

16 Usng (61 nd (65 together wth (66 nd (77 nd (78, we fnd tht N = m/48 (79 A smlr procedure cn be used to show tht the normlzton constnt for the negtve frequency modes s the sme nd tht the Mnkowsk cn be wrtten s ( π I π / π /4 F( π / π /4 P( II ψ = m/48 e ψ + e e ψ + e e ψ + ψ (8 4 Clcultng the Bogolubov coeffcents In ths secton we wll determne the Bogolubov coeffcents whch llow us to wrte the Rndler wve functon n terms of postve nd negtve frequency Mnkowsk modes. These were orgnlly stted by Soffel 3, nd cn be obtned by smple lgebr. The key concept n ths dervton s tht the Rndler observer n regon I s cuslly dsconnected from regon II nd vce vers. If we focus on n observer n regon I, ths mens tht we seek combnton of ψ + nd ψ II tht reflects ths fct by elmntng ψ. Let s denote the wve functon s seen by ths Rndler observer n regon I by R ψ lner combnton of ψ + nd ψ we seek s ( RI ( π + π/ π/ + π / I. The ψ = e ψ + ψ = e e ψ + e ψ (81 It s necessry to normlze ths stte. Usng (78 we fnd tht ( + ( + ( + R I R I π / π / + + π / ψ ψ = e e ψ ψ + e ψ ψ ( π δ( π = e cosh (8 Addng one fnl lyer of notton, we denote the properly normlzed Rndler wve functon RI ( by ψ. Usng (8 ths s wrtten s ψ = RI ( R I π 1 e cosh ( π 1 = e e + e π e cosh ( π e = + cosh ( π cosh( π + ( ψ ψ π/ π/ π / π/ π / + ψ ψ = α ψ + β ψ + ψ e (83

17 The Bogolubov coeffcents re gven by α π/ π / e e =, β = (84 cosh ( π cosh( π A smlr procedure cn be ppled to the stte n the left wedge, by notng tht the observer n regon II s cuslly dsconnected from regon I. Ths s good eercse for the student. 5 Concluson Ths pper hs provded pedgogcl ntroducton to workng wth mssve Drc prtcles n Rndler spce. In ddton, we hve ppled the Lgrnge-Green dentty whch gretly smplfes the problem of normlzng the sttes, obtnng the ect result found n the lterture. To the knowledge of the uthor ths pproch hs not be used before. We concluded by pplyng smple mthemtcl rguments to epress the Mnkowsk wve functons n terms of the Rndler sttes. The mchnery descrbed n ths pper cn be ppled to further reserch. In prtculr, t cn be used to gve full reltvstc tretment to problems n quntum nformton theory tht nvolve mssve Drc prtcles nd n ccelerted observer. We ntend to pursue ths lne of reserch n future pper. The vlue of dong so hs been demonstrted by recent nterest epressed n the propertes of entngled prtcles n grvttonl feld 9. Append A: Mthemtcl Prelmnres We now prove three crucl propostons tht were used to clculte the normlzton of the Rndler sttes. In the followng, we wll consder functons φ ( on the rel numbers tht re nfntely dfferentble nd tht vnsh outsde of some regon. These functons re clled test functons re denoted by wrtng φ ( C ( R. We begn by consderng the well-known Remnn-Lebesgue lemm, whch bsclly sttes tht the Fourer coeffcents f ˆk of perodc ntegrble functon vnsh s k. Proposton lmsnk = n the dstrbuton sense. k Proof Let φ ( ( R wth support contned n [ RR, ] C. Then

18 cosk R R cos k sn kφ( d = φ( φ ( d k R R k 1 = k R R cos kφ ( d R R R Now, snce cos φ ( cos φ ( φ ( k d k d d R R nd 1 s k R k, we conclude tht sn φ ( sense. k d s k, tht s, lmsnk = n the dstrbuton k Wth ths result n hnd, we cn show tht lm πδ( k Proposton sn k lm = πδ( n the dstrbuton sense. k Proof Let φ ( ( R wth support contned n [ RR, ] C ( ( + ( φ φ ψ where ψ ( sn k =, whch we do n the net proof.. Usng Tylor epnson t follows tht s contnuous, nfntely dfferentble functon tht my not hve compct support. Usng ths epnson we hve snk R snk R sn k φ( d = φ( d = φ( + ψ( d R R R snk R = φ( d + sn k ψ( d R R From the Remnn-Lebesgue lemm, we know tht the second term vnshes s k. Therefore, we only need consder the frst term, but t s well known tht R snk kr sn y d= dy π s k R kr y sn k lm φ( d πφ( πδ ( φ ( d k = =. Therefore we fnd tht

19 sn k = n the dstrbuton sense. Tht s, lm πδ( k cos k The fnl result we need s to show tht vnshes s k. The proof s smlr to the one we just dd wth some mnor modfctons. Proposton cos k lm PV.. = k n the dstrbuton sense, where P.V. s prncpl vlue. Proof Let φ ( C ( R wth support contned n [ RR, ] n Tylor φ( φ( + ψ ( where ψ ( tht my not hve compct support. Now, by the defnton of cosk R cosk PV.. φ( d= PV.. φ( d R. Followng the lst emple, we epnd s contnuous, nfntely dfferentble functon cos k PV.. we hve cosk cosk = lm φ( d lm φ( ψ( d + = ε ε< < R + + ε ε< < R cos k = lmφ( d lm ( cos k ψ( + + d ε ε< < R + ε ε< < R cos k cos k Snce s n odd functon, d =. On the other hnd, the ntegrnd ε < < R cos k ψ s regulr t =, hence ( ( R ( ψ ( = ( ψ ( lm cosk d cosk d + ε ε< < R R However, f we let k nd use the Remnn-Lebesgue lemm, we conclude tht cosk R lm PV.. φ( d lm ( cosk ψ ( d k = k = R Tht s, cos k lm PV.. = n the dstrbuton sense. k

20 The results n derved n ths ppend led to the two results used drectly n the pper, tht s 1 cos( ln lm u = u 1 sn( ln lm u = πδ u ( Append B: The Lgrnge-Green Identty The dscusson n ths secton s from Stckgold ( From elementry dfferentl equtons we recll tht Green s formul cn be used to epress n ntegrl n terms of ts boundry condtons by usng ntegrton by prts. Our gol s to eplot ths procedure so tht we cn evlute n nner product by nspecton. whch re contnuous twce dfferentble functons of rel vrble tht we re denotng by. For the most generl cse, we cn wrte such n opertor s Consder second order dfferentl opertor L wth coeffcents ( d d L = ( + 1( + o ( (85 d d Net, consder the followng ntegrl b b dg dg f ( Lg( d= f ( ( + f ( 1( + f ( o ( g( d d d (86 where f ( nd ( g re contnuous, twce dfferentble functons of rel vrble. Integrton by prts cn trnsform ths epresson nto b b ( ( = (, + ( ( b f Lg d J f g g L f d (87 Ths s Green s formul. J s known s the conjunct of the functons f nd g nd gven (85 cn be wrtten s df dg d J ( f, g = g f + 1 fg d d d (88 L s the djont of L whch n generl s found to be

21 d d d d d 1 L = + 1 o d d + + d d d (89 Tkng the dervtve of (87 wth respect to b nd then settng b = gves us Lgrnge s dentty glf dj = + flg (9 d Tken together (87 nd (9 re sometmes known s the Lgrnge-Green dentty. When dfferentl opertor shows up n n nner product we cn use ths result to trnsform the ntegrl nto one nvolvng totl dervtve,.e. dj ( glf flg d= d= J ( f, g (91 d References 1. S. W. Hwkng, Nture 48, 3 ( W. G. Unruh, Phys. Rev. D14, 87 ( M. Soffel, B. Muller, nd W. Grener, Phys. Rev. D, 1935 ( P. M. Alsng nd G. J. Mlburn, Phys.Rev.Lett. 91, 1844 (3. 5. N. D. Brrell nd P. C. W. Dves, Quntum Felds n Curved Spce (Cmbrdge Unversty Press, N. Y., R. D Inverno, Introducng Ensten s Reltvty (Oford Unversty Press, D. McMhon, Reltvty Demystfed (McGrw-Hll, N.N. Lebedev, Specl Functons nd Ther Applctons (Dover, H. Tershm nd M. Ued, Phys. Rev. A 69, 3113 (4. 1. I. Stkgold, Green s Functons nd Boundry Vlue Problems (Wley, 1998.

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN

More information

Strong Gravity and the BKL Conjecture

Strong Gravity and the BKL Conjecture Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Katholieke Universiteit Leuven Department of Computer Science

Katholieke Universiteit Leuven Department of Computer Science Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules

More information

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

A Family of Multivariate Abel Series Distributions. of Order k

A Family of Multivariate Abel Series Distributions. of Order k Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind

More information

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION

More information

Reactor Control Division BARC Mumbai India

Reactor Control Division BARC Mumbai India A Study of Frctonl Schrödnger Equton-composed v Jumre frctonl dervtve Joydp Bnerjee 1, Uttm Ghosh, Susmt Srkr b nd Shntnu Ds 3 Uttr Bunch Kjl Hr Prmry school, Ful, Nd, West Bengl, Ind eml- joydp1955bnerjee@gml.com

More information

Lecture Notes 7: The Unruh Effect

Lecture Notes 7: The Unruh Effect Quantum Feld Theory for Leg Spnners 17/1/11 Lecture Notes 7: The Unruh Effect Lecturer: Prakash Panangaden Scrbe: Shane Mansfeld 1 Defnng the Vacuum Recall from the last lecture that choosng a complex

More information

90 S.S. Drgomr nd (t b)du(t) =u()(b ) u(t)dt: If we dd the bove two equltes, we get (.) u()(b ) u(t)dt = p(; t)du(t) where p(; t) := for ll ; t [; b]:

90 S.S. Drgomr nd (t b)du(t) =u()(b ) u(t)dt: If we dd the bove two equltes, we get (.) u()(b ) u(t)dt = p(; t)du(t) where p(; t) := for ll ; t [; b]: RGMIA Reserch Report Collecton, Vol., No. 1, 1999 http://sc.vu.edu.u/οrgm ON THE OSTROWSKI INTEGRAL INEQUALITY FOR LIPSCHITZIAN MAPPINGS AND APPLICATIONS S.S. Drgomr Abstrct. A generlzton of Ostrowsk's

More information

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons

More information

Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962).

Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962). 005 Vectors nd Tensors R. Shnkr Subrmnn Good Sources R. rs, Vectors, Tensors, nd the Equtons of Flud Mechncs, Prentce Hll (96). nd ppendces n () R. B. Brd, W. E. Stewrt, nd E. N. Lghtfoot, Trnsport Phenomen,

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

HAMILTON-JACOBI TREATMENT OF LAGRANGIAN WITH FERMIONIC AND SCALAR FIELD

HAMILTON-JACOBI TREATMENT OF LAGRANGIAN WITH FERMIONIC AND SCALAR FIELD AMION-JACOBI REAMEN OF AGRANGIAN WI FERMIONIC AND SCAAR FIED W. I. ESRAIM 1, N. I. FARAA Dertment of Physcs, Islmc Unversty of Gz, P.O. Box 18, Gz, Plestne 1 wbrhm 7@hotml.com nfrht@ugz.edu.s Receved November,

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim Causal Damonds M. Aghl, L. Bombell, B. Plgrm Introducton The correcton to volume of a causal nterval due to curvature of spacetme has been done by Myrhem [] and recently by Gbbons & Solodukhn [] and later

More information

COMPLEX NUMBERS INDEX

COMPLEX NUMBERS INDEX COMPLEX NUMBERS INDEX. The hstory of the complex numers;. The mgnry unt I ;. The Algerc form;. The Guss plne; 5. The trgonometrc form;. The exponentl form; 7. The pplctons of the complex numers. School

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

Statistics and Probability Letters

Statistics and Probability Letters Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache INITE NEUTROSOPHIC COMPLEX NUMBERS W. B. Vsnth Kndsmy lorentn Smrndche ZIP PUBLISHING Oho 11 Ths book cn be ordered from: Zp Publshng 1313 Chespeke Ave. Columbus, Oho 31, USA Toll ree: (61) 85-71 E-ml:

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether

More information

Symmetries and Conservation Laws in Classical Mechanics

Symmetries and Conservation Laws in Classical Mechanics Symmetres nd Conservton Lws n Clsscl Mechncs Wllm Andrew Astll September 30, 0 Abstrct Ths pper wll provde detled explorton nd explnton of symmetres n clsscl mechncs nd how these symmetres relte to conservton

More information

Chemical Reaction Engineering

Chemical Reaction Engineering Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F 0 E 0 F E Q W

More information

4. More general extremum principles and thermodynamic potentials

4. More general extremum principles and thermodynamic potentials 4. More generl etremum prncples nd thermodynmc potentls We hve seen tht mn{u(s, X )} nd m{s(u, X)} mply one nother. Under certn condtons, these prncples re very convenent. For emple, ds = 1 T du T dv +

More information

Work and Energy (Work Done by a Varying Force)

Work and Energy (Work Done by a Varying Force) Lecture 1 Chpter 7 Physcs I 3.5.14 ork nd Energy (ork Done y Vryng Force) Course weste: http://fculty.uml.edu/andry_dnylov/techng/physcsi Lecture Cpture: http://echo36.uml.edu/dnylov13/physcs1fll.html

More information

Pyramid Algorithms for Barycentric Rational Interpolation

Pyramid Algorithms for Barycentric Rational Interpolation Pyrmd Algorthms for Brycentrc Rtonl Interpolton K Hormnn Scott Schefer Astrct We present new perspectve on the Floter Hormnn nterpolnt. Ths nterpolnt s rtonl of degree (n, d), reproduces polynomls of degree

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

INTERPOLATION(1) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek

INTERPOLATION(1) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek ELM Numercl Anlss Dr Muhrrem Mercmek INTEPOLATION ELM Numercl Anlss Some of the contents re dopted from Lurene V. Fusett, Appled Numercl Anlss usng MATLAB. Prentce Hll Inc., 999 ELM Numercl Anlss Dr Muhrrem

More information

An Introduction to Support Vector Machines

An Introduction to Support Vector Machines An Introducton to Support Vector Mchnes Wht s good Decson Boundry? Consder two-clss, lnerly seprble clssfcton problem Clss How to fnd the lne (or hyperplne n n-dmensons, n>)? Any de? Clss Per Lug Mrtell

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Linear and Nonlinear Optimization

Linear and Nonlinear Optimization Lner nd Nonlner Optmzton Ynyu Ye Deprtment of Mngement Scence nd Engneerng Stnford Unversty Stnford, CA 9430, U.S.A. http://www.stnford.edu/~yyye http://www.stnford.edu/clss/msnde/ Ynyu Ye, Stnford, MS&E

More information

From Biot-Savart Law to Divergence of B (1)

From Biot-Savart Law to Divergence of B (1) From Bot-Savart Law to Dvergence of B (1) Let s prove that Bot-Savart gves us B (r ) = 0 for an arbtrary current densty. Frst take the dvergence of both sdes of Bot-Savart. The dervatve s wth respect to

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

More information

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.

More information

ON SIMPSON S INEQUALITY AND APPLICATIONS. 1. Introduction The following inequality is well known in the literature as Simpson s inequality : 2 1 f (4)

ON SIMPSON S INEQUALITY AND APPLICATIONS. 1. Introduction The following inequality is well known in the literature as Simpson s inequality : 2 1 f (4) ON SIMPSON S INEQUALITY AND APPLICATIONS SS DRAGOMIR, RP AGARWAL, AND P CERONE Abstrct New neultes of Smpson type nd ther pplcton to udrture formule n Numercl Anlyss re gven Introducton The followng neulty

More information

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais. ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

18.7 Artificial Neural Networks

18.7 Artificial Neural Networks 310 18.7 Artfcl Neurl Networks Neuroscence hs hypotheszed tht mentl ctvty conssts prmrly of electrochemcl ctvty n networks of brn cells clled neurons Ths led McCulloch nd Ptts to devse ther mthemtcl model

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Haddow s Experiment:

Haddow s Experiment: schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

p (i.e., the set of all nonnegative real numbers). Similarly, Z will denote the set of all

p (i.e., the set of all nonnegative real numbers). Similarly, Z will denote the set of all th Prelmnry E 689 Lecture Notes by B. Yo 0. Prelmnry Notton themtcl Prelmnres It s ssumed tht the reder s fmlr wth the noton of set nd ts elementry oertons, nd wth some bsc logc oertors, e.g. x A : x s

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1 Solutons to Homework 7, Mathematcs 1 Problem 1: a Prove that arccos 1 1 for 1, 1. b* Startng from the defnton of the dervatve, prove that arccos + 1, arccos 1. Hnt: For arccos arccos π + 1, the defnton

More information

Investigation phase in case of Bragg coupling

Investigation phase in case of Bragg coupling Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract Stochstc domnnce on optml portfolo wth one rsk less nd two rsky ssets Jen Fernnd Nguem LAMETA UFR Scences Economques Montpeller Abstrct The pper provdes restrctons on the nvestor's utlty functon whch re

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

Chapter Twelve. Integration. We now turn our attention to the idea of an integral in dimensions higher than one. Consider a real-valued function f : D

Chapter Twelve. Integration. We now turn our attention to the idea of an integral in dimensions higher than one. Consider a real-valued function f : D Chapter Twelve Integraton 12.1 Introducton We now turn our attenton to the dea of an ntegral n dmensons hgher than one. Consder a real-valued functon f : R, where the doman s a nce closed subset of Eucldean

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

Srednicki Chapter 34

Srednicki Chapter 34 Srednck Chapter 3 QFT Problems & Solutons A. George January 0, 203 Srednck 3.. Verfy that equaton 3.6 follows from equaton 3.. We take Λ = + δω: U + δω ψu + δω = + δωψ[ + δω] x Next we use equaton 3.3,

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION NUEICAL ODELLING OF A CILIU USING AN INTEGAL EQUATION IHAI EBICAN, DANIEL IOAN Key words: Cl, Numercl nlyss, Electromgnetc feld, gnetton. The pper presents fst nd ccurte method to model the mgnetc behvour

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

More information

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations Cter. Runge-Kutt nd Order Metod or Ordnr Derentl Eutons Ater redng ts cter ou sould be ble to:. understnd te Runge-Kutt nd order metod or ordnr derentl eutons nd ow to use t to solve roblems. Wt s te Runge-Kutt

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

More information

Least squares. Václav Hlaváč. Czech Technical University in Prague

Least squares. Václav Hlaváč. Czech Technical University in Prague Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres

More information

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

More information

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p*

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p* R. Smpth Kumr, R. Kruthk, R. Rdhkrshnn / Interntonl Journl of Engneerng Reserch nd Applctons (IJERA) ISSN: 48-96 www.jer.com Vol., Issue 4, July-August 0, pp.5-58 Constructon Of Mxed Smplng Plns Indexed

More information

Math 426: Probability Final Exam Practice

Math 426: Probability Final Exam Practice Mth 46: Probbility Finl Exm Prctice. Computtionl problems 4. Let T k (n) denote the number of prtitions of the set {,..., n} into k nonempty subsets, where k n. Argue tht T k (n) kt k (n ) + T k (n ) by

More information

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System Actvtor-Inhtor Model of Dynmcl System: Applcton to n Osclltng Chemcl Recton System C.G. Chrrth*P P,Denn BsuP P * Deprtment of Appled Mthemtcs Unversty of Clcutt 9, A. P. C. Rod, Kolt-79 # Deprtment of

More information

Study of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1

Study of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1 mercn Interntonl Journl of Reserch n cence Technology Engneerng & Mthemtcs vlble onlne t http://wwwsrnet IN (Prnt: 38-349 IN (Onlne: 38-3580 IN (CD-ROM: 38-369 IJRTEM s refereed ndexed peer-revewed multdscplnry

More information

Chapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 )

Chapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 ) Chpter Introducton to Algebr Dr. Chh-Peng L 李 Outlne Groups Felds Bnry Feld Arthetc Constructon of Glos Feld Bsc Propertes of Glos Feld Coputtons Usng Glos Feld Arthetc Vector Spces Groups 3 Let G be set

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information