New symmetries of Black-Scholes equation
|
|
- Νηλεύς Δελή
- 6 χρόνια πριν
- Προβολές:
Transcript
1 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods New symmeres of Black-Scholes equaon TSHIDISO MASEBE Tshwane Unversy of Technology Mahs,Scence& Tech Deparmen No Aubrey Malala Road, Soshanguve H Souh Afrca masebep@u.ac.za JACOB MANALE Unversy of Souh Afrca Deparmen of Mahemacal Scences Preller sree 3, Cy of Tshwane Souh Afrca manaljm@unsa.ac.za Absrac: Le Pon symmeres and Euler s fmula f solvng second der dnary lnear dfferenal equaons are used o deermne symmeres f he one-dmensonal Black- Scholes equaon. One symmery s ulzed o deermne an nvaran soluons Key Wds: Le Pon Symmeres, Black- Scholes equaon, nvaran soluon. Inroducon The pas few years he wld experenced an economc meldown n par due o napproprae managemen of fnancal secures. A dervave fnancal secury may be defned as a secury whose value depends on he value of oher me basc underlyng varables whch may be prced raded secures, prces of commodes sock ndces [5]. The Black-Scholes equaon s a paral dfferenal equaon ha governs he value of fnancal dervaves. Deermnng he value of dervaves had been a problem n fnance f almos 70 years snce 990. In he early 70s, Black and Scholes made a poneerng conrbuon o fnance by developng a Black- Scholes equaon under very resrcve assumpons and he opon valuaon fmula. Scholes obaned a Nobel Prze f economcs n 997 f hs conrbuon Black had passed on n 995 and could no receve he prze personally [5].The wdely used one-dmensonal model one sae varable plus me s descrbed by he equaon u A x u xx Bxu x Cu = 0 wh consan coeffcens A, B and C. [] of he one-dmensonal Black-Scholes equaon and consruced nvaran soluons f some examples. In he presen projec we deermne he same usng Euler fmulas. The one-dmensonal Black-Scholes equaon s ransfmed usng he followng change of varables. Le We herefe express u x = u x xu x = u = u x ln x x r = ln x, hen r x = x x r = x 3 Le group hey s appled n he mahemacal model of fnance. In her wk [], Ibragmov and Gazzov deermned he complee symmery analyss xu x = u r
2 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods Also, u xx = x u x x u xx = x u x x u = x{ x x x { u = x ln x x { u = x r x { u = x r x ln x { = x r u x { = x x = u r u r Therefe x r x u r u x r { = x r x u r u r 5 xu x = u r x u xx = u rr u r 6 where r s gven by 3. We subsue f 8 n equaon and defne D = B A, hen he Black-Scholes one dmensonal equaon ransfms o Therefe u A u rr Du r Cu = 0. 7 xu x = u r x u xx = u rr u r 8 where r s gven by 3. We subsue f 8 n equaon and defne D = B A, hen he Black-Scholes one dmensonal equaon ransfms o u A u rr Du r Cu = 0. 9 Soluon of deermnng equaon The nfnesmal genera f pon symmery admed by equaon 0 s of he fm X = ξ, r ξ, r r η, r u Is frs and second prolongaons are gven by X = X η 0 η r η rr u u r u rr where X s defned by equaon 0. The deermnng equaon s gven by when η A η rr Dη r Cη = 0 u rr = A [u Du r Cu] 3 where we defne he followng from [],[3] η = fu g η η r η rr = g f u [f ξ ]u ξ u r = g r f r u [f ξ r ]u r ξ r u = g rr f rr u [f r ξ rr]u r ξ rru [f ξ r ]u rr ξ r u r The subsuons of η, η r and η rr n he deermnng equaon yelds ha g f u [f ξ ]u ξ u r A {g rr f rr u [f r ξ rr]u r ξ rru [f ξ r ] A [u Du r Cu] ξ r u r D[g r f r u [f ξ r ]u r ξ r u ] Cfu Cg = 0 5 We se he coeffcens of u r, u r, u and hose free of hese varables o zero. We hus have he followng defnng equaons u r : ξr = 0, 6 u : ξ ξr = 0 7 u r : ξ A f r Dξ r A ξ rr = 0, 8 u 0 r : g A g rr Dg r Cg = 0, 9 u : f A f rr Df r Cξ r = 0 0
3 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods Thus From defnng equaon 7 we have ha ξ rr = 0 ξ = ar b whch can be expressed usng Euler fmula wh nfnesmal ω as ξ a sn bϕ cos = ω where ϕ = sn ω 3. We dfferenae equaon 3 wh respec o r and and oban he followng equaons ξ rr = ω ξ r = a cos ξ = bϕ sn, a sn ω b ϕ cos, 5 ȧ sn ḃϕ cos ω and from defnng equaon 7 we have ξ whch mples ha ξ = a cos 6 = ξ r bϕ sn C. 7 We subsue f equaons, 5 and 6 n he defnng equaon 8 o ge he expresson f f r gven by f r = cos { ωbϕ sn { ωa ḃϕ A ω Da A ȧ A ω Dbϕ 8 A Inegrang equaon 8 wh respec o r gves he expresson f f f = sn { bϕ cos { a ḃϕ A ω Da A ω ȧ A ω Dbϕ A ω k 9 We use he equaons 8 and 9 o ge he expressons f f rr and f gven by f rr = sn { ω bϕ ḃϕ A Daω A cos { ω a ȧ A Dbωϕ 30 A and f = sn { ḃϕ bϕ A ω Dȧ A ω cos {ȧ ä A ω Dȧϕ A ω k 3 We subsue f he equaons, 8, 30 and 3 n he defnng equaon 0 and solve he equaon sn { ḃϕ bϕ A ω Dȧ A ω Cbϕ cos {ȧ ä A ω Dḃϕ A ω Ca k sn { ba ω ϕ ḃϕ Daω cos { aa ω ȧ Dbωϕ cos { Dbωϕ Dḃϕ A ω D a A sn { Daω Dȧ A ω D bϕ A = 0 3 We collec all he coeffcens of sne funcon ogeher and equae hem o zero. Smlarly wh he cosne funcon. F he coeffcens of sne funcon we have: ḃϕ Daω bϕ A ω Dȧ A ω ba ω ϕ ḃϕ Daω Dȧ A ω D bϕ A Cbϕ = 0 33 whch smplfes o a second-der dnary lnear dfferenal equaon b ḃa ω ba ω D b A CA ω b = 0 3 Solvng f equaon 3 we proceed as follows. Le We also se β = A ω, and k = D A C α = bβ k, hen 35 α = ḃβ, 36 α = bβ 3
4 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods Equaon 3 ransfms o α α α β = To fnd he soluon of equaon 37 we proceed as follows. We se α = cz 38 where c = c, z = z. Then α = c z cz 39 α = c z c z cz 0 whch smplfes o a second-der dnary lnear dfferenal equaon ä ȧa ω aa ω ad A aa ω C = 0 9 Solvng f equaon9 we fnd he soluon f a o be We subsue f equaons 38, 39 and 0 n equaon 37 and afer rearrangng we solve he equaon cz c c z c c β cz = 0 The choce f c s such ha a = e { sn cos β C 3 D β A C β sn C 50 whence The equaon smplfes o c c = 0, c = e. 3 z β z = 0 The soluon f 37 s now wren α = e sn cos C sn C e 5 so ha when β = ± ω 0 he soluon f z s lnear, and we defne = β 6 We subsue f b n equaon 36 o oban ha b = e { sn cos β C sn C e D β A C β 7 Smlarly f he coeffcens of he cosne funcon we have ȧ äϕ A ω Dḃϕ A ω aa ω ϕ ȧ Dbωϕ Dbωϕ Dḃϕ A ω D a A ac = 0 8 and we also have ha k = 0 k = C 5 5 We dfferenae equaons 7 and 50 o oban expressons f ȧ and ḃ ȧ = e sn cos β C 3 C sn Smlarly e β C 3 sn sn C cos 5 ḃ = e sn cos sn β C C e 53 β C sn sn C cos We subsue f equaons 35,7,50,5,5 and 53 n equaon 9 and ge he expresson f
5 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods f gven as f = sn { C ϕe sn cos β C ϕe sn β C ϕe sn C ϕe cos C Dωe sn D ϕ A Cϕ β C ϕe sn cos C ϕe sn cos C 3Dωe sn cos D3 ω A cos { C3 e sn cos β C e sn β D A Cϕ β C 3e sn cos C e sn C 3e sn sn C e cos C ϕdωe sn C ϕdωe sn cos D3 ϕω A C 5 5 f = sn { C ϕe sn cos β C ϕe sn β Cϕ β D ϕ A C ϕe sn cos C ϕe sn C ϕe cos C Dωe sn C ϕe sn cos C 3Dωe sn cos D3 ω A cos { C3 e sn cos β C e sn β D A Cϕ β C 3e sn cos C e sn C e cos C ϕdωe sn C 3e sn sn C ϕdωe sn cos D3 ϕω A C Infnesmals The lnearly ndependen soluons of he defnng equaons 5 lead o he nfnesmals { e ξ { = cos β C 3 sn cos C sn D β A { ϕe sn β { C sn cos C sn ϕd β A C 6 { e ξ = sn β ω C sn D ωβ A { e ϕ cos β ω C sn D ϕ ωβ A C 3 sn cos C sn cos The symmeres Accdng o 5, he nfnesmals: 57, 55 and 56, lead o he generas X = e ϕ β sn cos sn e ϕ β ω sn cos cos r { e ϕ β sn cos sn e ϕ sn cos sn e ϕ sn cos sn Dϕωe sn cos cos u u 58 5
6 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods X = e ϕ β sn sn e ϕ β ω sn cos r { e ϕ β sn sn e ϕ sn sn e ϕ cos sn Dϕωe sn cos u u e X 3 = β sn cos cos e β ω sn cos cos r { e β sn cos cos e sn cos cos e ϕ sn sn cos Dωe sn cos sn u u e ϕ X = β sn cos e ϕ β ω sn sn r { e β sn cos e sn cos e cos cos Dωe sn sn u u X 5 = D β A cos D ωβ A ϕ cos D ω A sn ϕ sn sn ϕ cos X 6 = u u r u u X 8 = C β ϕ sn X 7 = cos u u 6 65 The defnng equaon 9 gves an nfne symmery X = g, r u 66.3 Invaran soluons hrough he symmery X 3 The nvarans are deermned from solvng he equaon e I X 3 I = β sn cos cos e I β ω sn cos cos r { e β sn cos cos e sn cos cos e ϕ sn sn cos Dωe sn cos sn u I u = 0 The characersc equaon of 67 s gven by d e sn cos cos = β dr e sn sn cos β ω = du ue { β sn cos cos sn cos cos sn sn cos Dω sn cos sn
7 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods From equaon 68 we have ha smplfes o d e sn cos cos = whose soluon s β dr e sn sn cos β ω The frs nvaran s gven by 69 d = ω dr 70 = Ce 7 ψ = e From equaon 68 we also have ha dr e sn sn cos β ω = du ue { β sn cos cos sn cos cos sn sn cos Dω sn cos sn Equaon 73 smplfes o β Dω an ω ω β dr = du u We negrae equaon 7 and oban We approxmae β β β β Dω ln cos C = ln u β β β β β Dω ln cos β Inegrang equaon 73 we oban u e The equaon 77 smplfes o u e = C 77 = ψ 78 whch s our second nvaran. If we defne ψ = hψ 79 where ψ s gven by equaon 7, hen an nvaran soluon s gven by u = e hψ 80 We dfferenae equaon 80 wh respec o and wce wh respec o r and ge he followng expressons f u, u r and u rr. u = e 3 h ψ 8 u r = ω e hψ ω e 3 h ψ 8 u rr = ω e hψ ω e 3 h ψ 83 6ω e 3 h ψ ω e 5 h ψ We subsue f equaons 8, 8 and 83 n he gnal equaon 9 and ge he followng equaon e 3 h ψ ω e hψ A ω e 3 A ω e 5 h ψ Dω e h ψ 3A ω hψ Dω e 3 h ψ e 3 h ψ Ce hψ = 0 8 Equaon 8 s a second der equaon n hψ. We rearrange n he der of dervaves of hψ, and apply equaon 35 β e 5 h ψ h ψ { β e 3 Dω βe e 3 6β e 3 hψ { Dkω Ce = 0 e e
8 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods Leng ω 0 equaon 85 smplfes o β h ψ β h ψ 6β h ψ βhψ Chψ = 0 86 whch can be smplfed o βh ψ 0βh ψ β Chψ = Fgure : Plo of he soluon n 0. We elmnae from equaon 87 by applyng he followng change of varables. From equaon 7 we le hen and dλ = dψ, hψ = h 88 h ψ = h λ 89 h ψ = = d dψ h λ dh λ dψ = d dψ h λ dh λ dλ = {h λλ h λ e F ω 0 equaon 90 smplfes o d dψ {h λ 90 h ψ = {h λλ h λ 9 The subsuon of equaons 89, 9 ransfms equaon 87 o βh λλ 6βh λ β Ch = 0. 9 The soluon o equaon 9 s gven by h = C e 3β C e 3β 9β ββc λ β 9β ββc λ β Thus he nvaran soluon s u = e {C e 3β 9β ββc λ β C e 3β 9β ββc β λ However he equaon 9 can be expressed as u = e {C e 3β 9β ββc λ β C e 3β 9β ββc β λ Ths smplfes o u = e where = {C e 3 λ e λ C e 3 9β ββ C β λ e λ Snce < 0, we express equaon 96 as u = e {C e 3 λ sn λ C e 3 λ cos λ We however advance he same reason ha f equaon 97 o reurn o he lnear fm as 0 has o be ransfmed o be u = e {C e 3 λ sn λ C e 3 λ ϕ cos λ where ϕ = sn Soluons f equaon 98 Ths equaon 98 has some few soluons as ω 0. We recall ha. Soluon λ = ψ = e ψ ψ ψ = C 0 e d e 99 d ln u = Ae e 3 λ sn λ 00 = Ae e 3 C 0e ln sn C 0 e as ω 0, he soluon becomes ln u = 3 C 0 0 One of he assumpons of he Black-Scholes model s ha he opon value s perfecly lnear. The 8
9 3 3 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods 8 6 Fgure : Plo of he soluon n 03. Fgure 3: Plo of he soluon n 08. lneary of he graph llusraes an mpan feaure of he Black-Scholes model n ha provdes an excellen approxmaon o he value of he opon wh varable volaly as long as mahemacal expecaon of he volaly s known []. Soluon u = Ae e 3 λ sn λ 0 = Acos sne 3 λ sn λ as ω 0, he soluon becomes u = Ae 3 λ sn λ 03 Ths nvaran soluon s conssen wh one of he soluons obaned by Ibragmov and Gazzov n her paper []. The plo of hs nvaran soluon s gven n Fgure..3 Soluon 3 u = Aωe e 3 ψ ω ψ dψ sn ψ ω ψ dψ ω = Aωe e 3 ψ ω ψ dψ d dω [sn = Aωe e 3 ψ ω ψ dψ dψ dω = Aωe e 3 = Aωe e 3 = Aω Bu ωe 3 ω e 3 3 re ψ ω ψ dψ re ψ ω ψ dψ re ψ ω d dω [sn = ω cos3 ω sn3 = ω cos3 ω sn3 = ω {ω3 cos3 ω 3 sn3 ψ dψ ] ψ ω ψ dψ ] [ cos ψ ω ψ dψ ] 0 05 and ω 3 r cos = ω e 3 ω e 3 = ω r ω e 3 06 e 3 = ω r e3 We subsue n equaon 0 and oban u = Aω r ω r e3 07 as ω 0, he soluon becomes u = A r 08 The plo of hs nvaran soluon s gven n Fgure 3.. Concluson In hs paper, new symmeres were obaned f he Black-Scholes equaon, and one was used o deermne group nvaran soluons. Some of he symmeres are comparable o he ones []. 3 APPENDIX A: Euler s fmulas and he nfnesmal ω I s well-known ha Le s group heecal mehods seek o reduce procedures f solvng dfferenal equaons of any challengng fm o smple ones ha may also have he fm a 0 ÿ b 0 ẏ c 0 y = 0, 09 f y = yx, wh parameers a 0, b 0 and c 0. I s also ha acceped Euler s fmulas are suable f solvng such equaons. They are: y = e b 0 x a 0 Ae ωx Be ωx, b 0 > a 0c 0, A Bx, b 0 = a 0c 0, e b 0 a 0 x [A cos ωx] Be b 0 a 0 x [sn ωx], b 0 < a 0 c 0 0 9
10 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods where ω = b 0 a 0c 0 /a 0. Bu here s a problem wh hs sysem: I does no reduce o y = A Bx when b 0 = c 0 = 0. Ths s because Euler dd no solve he equaon o ge he fmulas. There has never been a need o do so, prmarly because he fmulas have been very successful n applcaons, and hey sll are. The need f an exac soluon here, s drven by he desre undersand soluons f equaon 9 hrough symmery mehods. I s mpossble hrough Euler s fmulas. To ge such exac fmula, frs le y = βz, wh β = βx and z = zx, so ha and ẏ = βz βż, ÿ = βz βż β z. These ransfm 09 no a 0 βz βż β z b 0 βz βż c 0 βz = 0. Tha s, a 0 β z a 0 β b0 β ż a 0 β b0 β c0 β z = 0. Choosng β o sasfy a 0 βb0 β = 0 smplfes equaon. Tha s, β = C 00 e b 0 a 0 x, f some consan C 00. Equaon assumes he fm z = a 0 β b 0 β c0 β z. a 0 β Tha s, z = b 0 a 0 c 0 z. Bu z can be wren as żdz/dx. Therefe, Tha s, ż dż dz = żdż = ż = b 0 a 0 c 0 b 0 a 0 c 0 z, zdz. b 0 a 0 c 0 z C 0, f some consan C 0. Tha s, b ż = 0 a 0 c 0 z C 0, Tha s, b 0 a0c0 dz = dx. z C 0 dz A 00 z = b 0 a 0c 0 wh A 00 = C 0/ b 0 a0c0. Hence, z = C 0 b 0 a0c0 sn f some consan C 0. Tha s, y = C 00 e b 0 x C a 0 0 b 0 a0c0 Leng = b 0 a 0c 0 sn b 0 a 0c 0 we have y = C 00 e b 0 x a 0 C 0 sn x C 0, y = C 00 e b 0 x a 0 sn x ]. C 0 dx, x C 0 b 0 a 0c 0 [ snc0 cos x cos C 0 A reducon o he rval case ÿ = 0 requres ha snc 0 = C 03 sn and cosc 0 = C 0 cos. Tha s, C03 C 0 =. Hence, y = C 00 e b 0 x a 0 C 0 cos smply sn x ], C 0 C03 sn [ cos x, x C 0 y = C 00 e b 0 a 0 x C0 C 03 sn cos x C 00 e b 0 a 0 x C0 C 0 sn x. I s very val o ndcae ha f he parameers n he denomna and sn are absbed no he coeffcens C 0 and C 03, hen fmula would reduce o one of Euler s fmulas. Bu he consequences would be faal, as fmula would no reduce o y = A Bx when b 0 = c 0 = 0, ha s, when = 0. Unfunaely, hs resul canno be found n any unversy exbook.. 30
11 Proceedngs of he 03 Inernaonal Conference on Appled Mahemacs and Compuaonal Mehods APPENDIX B: Useful lm resuls I s rue ha lm µ 0 { sn µ µ =. Ths can be wren n he fm { sn µx lm = 0, µ 0 µ lm µ 0 { sn µ µ µ cos = 0. Removng he lm f greaer clary: sn µ = µ µ cos. Tha s, We hen have sn µ = µ µ cos, 3 cos µ = sn µ. µ cos µ µ q = µ cos µ µ q. Carryng ou he dervave on he rgh hand sde: cos µ µ q = µ sn µ cos µ µ q. Subsung : cos µ µ q = µ Tha s, µ µ cos = µ cos cos µ cos µ µ q. µ cos µ, whch can be expressed n he fm µ µ µ cos µ 3 cos = µ sn. 5 Snce sn µ = 0 f µ small, follows hen ha µ cos µ = µ 3 cos µ. 6 Snce e µ ca be expressed n he fm cosµ/ snµ/, hen µ µ e µ = µ 3 cos, 7 so ha µe µ/ = µe µ/ = [ ] µ µ 3 cos, 8 [ ] µ µ 3 cos, 9 Therefe 9 and 3 can hen be wren n he fm µ u = [ µ 3 cos µ] ϕη, 0 wh µ = ω ω n he case of 9 and µ = ω ω f 3. Tha s, u = f 9, and f. References: u = ϕη ω ω ϕη ω ω [] Blumen,G.W. Anco,S.C. 00. Symmeres and Inegraon mehods f Dfferenal Equaons. New Yk. Sprnger-Verlag. [] Gazzov, R.K and Ibragmov, N.H.998. Le Symmery Analyss of Dfferenal Equaons n Fnance. Nonlnear Dynamcs 7: June. [3] Ibragmov, N.H.999. Elemenary Le Group Analyss and Ordnary Dfferenal Equaons. London. J. Wley & Sons Ld. [] Mller, R.M Opon Valuaon. Economc and Fnancal Modellng wh Mahemaca. Sprnger Verlag. [5] Slberberg,G.00.Dervave Prcng wh Symmery Analyss.hp:// Slberberg. pdf 3
The one-dimensional periodic Schrödinger equation
The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων.
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 2015 ιδάσκων : Α. Μουχτάρης εύτερη Σειρά Ασκήσεων Λύσεις Ασκηση 1. 1. Consder the gven expresson for R 1/2 : R 1/2
On homeomorphisms and C 1 maps
arxv:1804.10691v1 [mah.gm] 7 Apr 018 On homeomorphsms and C 1 maps Nkolaos E. Sofronds Deparmen of Economcs, Unversy of Ioannna, Ioannna 45110, Greece. nsofron@oene.gr, nsofron@cc.uo.gr Absrac Our purpose
Multi-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme
Multi-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t ();
One and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF
One and two partcle densty matrces for sngle determnant HF wavefunctons One partcle densty matrx Gven the Hartree-Fock wavefuncton ψ (,,3,!, = Âϕ (ϕ (ϕ (3!ϕ ( 3 The electronc energy s ψ H ψ = ϕ ( f ( ϕ
A Class of Orthohomological Triangles
A Class of Orthohomologcal Trangles Prof. Claudu Coandă Natonal College Carol I Craova Romana. Prof. Florentn Smarandache Unversty of New Mexco Gallup USA Prof. Ion Pătraşcu Natonal College Fraţ Buzeşt
Example Sheet 3 Solutions
Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note
CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS
CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =
Homework 8 Model Solution Section
MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx
HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
Section 7.6 Double and Half Angle Formulas
09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)
Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.
Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given
Section 8.3 Trigonometric Equations
99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.
Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)
Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as
2 Composition. Invertible Mappings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,
8.1 The Nature of Heteroskedasticity 8.2 Using the Least Squares Estimator 8.3 The Generalized Least Squares Estimator 8.
8.1 The Nature of Heteroskedastcty 8. Usng the Least Squares Estmator 8.3 The Generalzed Least Squares Estmator 8.4 Detectng Heteroskedastcty E( y) = β+β 1 x e = y E( y ) = y β β x 1 y = β+β x + e 1 Fgure
Matrices and Determinants
Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z
α & β spatial orbitals in
The atrx Hartree-Fock equatons The most common method of solvng the Hartree-Fock equatons f the spatal btals s to expand them n terms of known functons, { χ µ } µ= consder the spn-unrestrcted case. We
Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1
Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test
( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential
Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a
4.6 Autoregressive Moving Average Model ARMA(1,1)
84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this
Math221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
1 Complete Set of Grassmann States
Physcs 610 Homework 8 Solutons 1 Complete Set of Grassmann States For Θ, Θ, Θ, Θ each ndependent n-member sets of Grassmann varables, and usng the summaton conventon ΘΘ Θ Θ Θ Θ, prove the dentty e ΘΘ dθ
6.003: Signals and Systems
6.3: Signals and Sysems Modulaion December 6, 2 Communicaions Sysems Signals are no always well mached o he media hrough which we wish o ransmi hem. signal audio video inerne applicaions elephone, radio,
A Lie Symmetry Analysis of the Black-Scholes Merton Finance Model through modified Local one-parameter transformations
A Le Symmetry Analyss of the Black-Scholes Merton Fnance Model through modfed Local one-parameter transformatons by Tshdso Phanuel Masebe Submtted n accordance wth the requrements for the degree of Doctor
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal
Statistical Inference I Locally most powerful tests
Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided
6.003: Signals and Systems. Modulation
6.003: Signals and Systems Modulation May 6, 200 Communications Systems Signals are not always well matched to the media through which we wish to transmit them. signal audio video internet applications
Lecture 12 Modulation and Sampling
EE 2 spring 2-22 Handou #25 Lecure 2 Modulaion and Sampling The Fourier ransform of he produc of wo signals Modulaion of a signal wih a sinusoid Sampling wih an impulse rain The sampling heorem 2 Convoluion
Concrete Mathematics Exercises from 30 September 2016
Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)
Solutions to Exercise Sheet 5
Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X
( y) Partial Differential Equations
Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate
Solution Series 9. i=1 x i and i=1 x i.
Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x
Variance of Trait in an Inbred Population. Variance of Trait in an Inbred Population
Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Revew of Mean Trat Value n Inbred Populatons We showed n the last lecture that for a populaton
C.S. 430 Assignment 6, Sample Solutions
C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order
6.003: Signals and Systems. Modulation
6.3: Signals and Sysems Modulaion December 6, 2 Subjec Evaluaions Your feedback is imporan o us! Please give feedback o he saff and fuure 6.3 sudens: hp://web.mi.edu/subjecevaluaion Evaluaions are open
coupon effects Fisher Cohen, Kramer and Waugh Ordinary Least Squares OLS log
coupon effecs Fsher Cohen, Kramer and Waugh Ordnary Leas SquaresOLS 3 j τ = a0 a j m a4 log m a5c a6c a7 log C j= τ = a a a [ ] 0 m log m [ a, b] f Pn E f = max f x P x = f P n ( ) ( ) n ( ) a x b n ξ
Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)
Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts
IV и. е ые и Си АДИ, ы 5 (51),
IV 493 - «И» Аи - - - - PO - - - Кеые : PO - - - - - ; - И - - - - - - ; - И- - - - - - - - - [] - Веи СиАДИ ы 5 (5) 6 45 - - - (ODE) - - - D- - D - - - - - - - - PO - - - - - - - ( - ) - G - И- f R (
Homework 3 Solutions
Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For
Generalized Fibonacci-Like Polynomial and its. Determinantal Identities
Int. J. Contemp. Math. Scences, Vol. 7, 01, no. 9, 1415-140 Generalzed Fbonacc-Le Polynomal and ts Determnantal Identtes V. K. Gupta 1, Yashwant K. Panwar and Ompraash Shwal 3 1 Department of Mathematcs,
Second Order Partial Differential Equations
Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y
Problem Set 3: Solutions
CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C
Geodesic Equations for the Wormhole Metric
Geodesic Equations for the Wormhole Metric Dr R Herman Physics & Physical Oceanography, UNCW February 14, 2018 The Wormhole Metric Morris and Thorne wormhole metric: [M S Morris, K S Thorne, Wormholes
21. Stresses Around a Hole (I) 21. Stresses Around a Hole (I) I Main Topics
I Main Topics A Intoducon to stess fields and stess concentaons B An axisymmetic poblem B Stesses in a pola (cylindical) efeence fame C quaons of equilibium D Soluon of bounday value poblem fo a pessuized
Finite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
Reflection Models. Reflection Models
Reflecon Models Today Types of eflecon models The BRDF and eflecance The eflecon equaon Ideal eflecon and efacon Fesnel effec Ideal dffuse Thusday Glossy and specula eflecon models Rough sufaces and mcofaces
Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------
Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
Uniform Convergence of Fourier Series Michael Taylor
Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula
ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?
Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least
George S. A. Shaker ECE477 Understanding Reflections in Media. Reflection in Media
Geoge S. A. Shake C477 Udesadg Reflecos Meda Refleco Meda Ths hadou ages a smplfed appoach o udesad eflecos meda. As a sude C477, you ae o equed o kow hese seps by hea. I s jus o make you udesad how some
k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +
Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b
Errata (Includes critical corrections only for the 1 st & 2 nd reprint)
Wedesday, May 5, 3 Erraa (Icludes criical correcios oly for he s & d repri) Advaced Egieerig Mahemaics, 7e Peer V O eil ISB: 978474 Page # Descripio 38 ie 4: chage "w v a v " "w v a v " 46 ie : chage "y
CRASH COURSE IN PRECALCULUS
CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
ECE Spring Prof. David R. Jackson ECE Dept. Notes 2
ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =
ΕΠΙΧΕΙΡΗΣΙΑΚΗ ΑΛΛΗΛΟΓΡΑΦΙΑ ΚΑΙ ΕΠΙΚΟΙΝΩΝΙΑ ΣΤΗΝ ΑΓΓΛΙΚΗ ΓΛΩΣΣΑ
Ανοικτά Ακαδημαϊκά Μαθήματα στο ΤΕΙ Ιονίων Νήσων ΕΠΙΧΕΙΡΗΣΙΑΚΗ ΑΛΛΗΛΟΓΡΑΦΙΑ ΚΑΙ ΕΠΙΚΟΙΝΩΝΙΑ ΣΤΗΝ ΑΓΓΛΙΚΗ ΓΛΩΣΣΑ Ενότητα 9: Inversion Το περιεχόμενο του μαθήματος διατίθεται με άδεια Creative Commons εκτός
= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t).
Worked Soluion 95 Chaper 25: The Invere Laplace Tranform 25 a From he able: L ] e 6 6 25 c L 2 ] ] L! + 25 e L 5 2 + 25] ] L 5 2 + 5 2 in(5) 252 a L 6 + 2] L 6 ( 2)] 6L ( 2)] 6e 2 252 c L 3 8 4] 3L ] 8L
Lecture 2. Soundness and completeness of propositional logic
Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max
The challenges of non-stable predicates
The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. The challenges of non-stable predicates
SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions
SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)
Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013
Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering
Durbin-Levinson recursive method
Durbin-Levinson recursive method A recursive method for computing ϕ n is useful because it avoids inverting large matrices; when new data are acquired, one can update predictions, instead of starting again
8.324 Relativistic Quantum Field Theory II
Lecture 8.3 Relatvstc Quantum Feld Theory II Fall 00 8.3 Relatvstc Quantum Feld Theory II MIT OpenCourseWare Lecture Notes Hon Lu, Fall 00 Lecture 5.: RENORMALIZATION GROUP FLOW Consder the bare acton
Section 9.2 Polar Equations and Graphs
180 Section 9. Polar Equations and Graphs In this section, we will be graphing polar equations on a polar grid. In the first few examples, we will write the polar equation in rectangular form to help identify
Variational Wavefunction for the Helium Atom
Technische Universität Graz Institut für Festkörperphysik Student project Variational Wavefunction for the Helium Atom Molecular and Solid State Physics 53. submitted on: 3. November 9 by: Markus Krammer
Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =
Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n
The Simply Typed Lambda Calculus
Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and
3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β
3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle
Overview. Transition Semantics. Configurations and the transition relation. Executions and computation
Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition
Every set of first-order formulas is equivalent to an independent set
Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent
) 2. δ δ. β β. β β β β. r k k. tll. m n Λ + +
Techical Appedix o Hamig eposis ad Helpig Bowes: The ispaae Impac of Ba Cosolidaio (o o be published bu o be made available upo eques. eails of Poofs of Poposiios 1 ad To deive Poposiio 1 s exac ad sufficie
derivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
EE512: Error Control Coding
EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3
forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with
Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We
SPECIAL FUNCTIONS and POLYNOMIALS
SPECIAL FUNCTIONS and POLYNOMIALS Gerard t Hooft Stefan Nobbenhuis Institute for Theoretical Physics Utrecht University, Leuvenlaan 4 3584 CC Utrecht, the Netherlands and Spinoza Institute Postbox 8.195
Higher Derivative Gravity Theories
Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that
D Alembert s Solution to the Wave Equation
D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique
6.1. Dirac Equation. Hamiltonian. Dirac Eq.
6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2
Oscillatory integrals
Oscilltory integrls Jordn Bell jordn.bell@gmil.com Deprtment of Mthemtics, University of Toronto August, 0 Oscilltory integrls Suppose tht Φ C R d ), ψ DR d ), nd tht Φ is rel-vlued. I : 0, ) C by Iλ)
Fourier Series. Fourier Series
ECE 37 Z. Aliyazicioglu Elecrical & Compuer Egieerig Dep. Cal Poly Pomoa Periodic sigal is a fucio ha repeas iself every secods. x() x( ± ) : period of a fucio, : ieger,,3, x() 3 x() x() Periodic sigal
Finding Lie Symmetries of PDEs with MATHEMATICA: Applications to Nonlinear Fiber Optics
Geomery Inegrably and Qazaon Jne 8-8 7 Fndng Le Symmeres of PDEs wh MTHEMTIC: lcaons o Nonlnear Fber Ocs Vladmr Plov Dearmen of Physcs Techncal Unversy-Varna lgara Ivan Uznov Dearmen of led Physcs Techncal
1 String with massive end-points
1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε
PARTIAL NOTES for 6.1 Trigonometric Identities
PARTIAL NOTES for 6.1 Trigonometric Identities tanθ = sinθ cosθ cotθ = cosθ sinθ BASIC IDENTITIES cscθ = 1 sinθ secθ = 1 cosθ cotθ = 1 tanθ PYTHAGOREAN IDENTITIES sin θ + cos θ =1 tan θ +1= sec θ 1 + cot
Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics
Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)
9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr
9.9 #. Area inside the oval limaçon r = + cos. To graph, start with = so r =. Compute d = sin. Interesting points are where d vanishes, or at =,,, etc. For these values of we compute r:,,, and the values
ST5224: Advanced Statistical Theory II
ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known
Strain gauge and rosettes
Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified
Derivation of Optical-Bloch Equations
Appendix C Derivation of Optical-Bloch Equations In this appendix the optical-bloch equations that give the populations and coherences for an idealized three-level Λ system, Fig. 3. on page 47, will be
The ε-pseudospectrum of a Matrix
The ε-pseudospectrum of a Matrix Feb 16, 2015 () The ε-pseudospectrum of a Matrix Feb 16, 2015 1 / 18 1 Preliminaries 2 Definitions 3 Basic Properties 4 Computation of Pseudospectrum of 2 2 5 Problems
8.323 Relativistic Quantum Field Theory I
MIT OpenCourseWare http://ocwmtedu 8323 Relatvstc Quantum Feld Theory I Sprng 2008 For nformaton about ctng these materals or our Terms of Use, vst: http://ocwmtedu/terms 1 The Lagrangan: 8323 Lecture
( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω
Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,
Answer sheet: Third Midterm for Math 2339
Answer sheet: Third Midterm for Math 339 November 3, Problem. Calculate the iterated integrals (Simplify as much as possible) (a) e sin(x) dydx y e sin(x) dydx y sin(x) ln y ( cos(x)) ye y dx sin(x)(lne
Parts Manual. Trio Mobile Surgery Platform. Model 1033
Trio Mobile Surgery Platform Model 1033 Parts Manual For parts or technical assistance: Pour pièces de service ou assistance technique : Für Teile oder technische Unterstützung Anruf: Voor delen of technische