I K J K J. Chapter 1. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 1

Size: px
Start display at page:

Download "I K J K J. Chapter 1. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 1"

Transcription

1 Semcouc hyscs evces: sc rcles, r eo her. () cc: 8 cer oms /8 om 6 ce oms ½ oms ol o 4 oms er u cell () cc: 8 cer oms /8 om eclose om om ol o oms er u cell mo: 8 cer oms /8 om 6 ce oms ½ oms 4 eclose oms 4 oms ol o 8 oms er u cell. () 4 G oms er u cell 4 esy esy o G.0 4 As oms er u cell, so h esy o As.0 () 8 Ge oms er u cell 8 esy esy o Ge () Smle cuc lce; r U cell vol r 8 r om er cell, so om vol. () G 4πr 4πr o 00% 8r () ce-ceere cuc lce 4r c h o 5.4% r U cell vol r 6 r her 4 oms er cell, so om vol. G πr r 4 4 π o 00% 6 r oy-ceere cuc lce 4 4r r U cell vol. r o 74% oms er cell, so om vol. G πr 4 r 4 π o 00% o 68% 4r () mo lce 8 oy ol 8r r U cell vol. 8r 8 oms er cell, so om vol. 8 4 r 8 4 π o 00% 8r πr o 4%.4 rom rolem., erce volume o cc oms s 74%; heree er coee s rou, olume 074.

2 Semcouc hyscs evces: sc rcles, r eo her.5 () 54. A rom., 8 r 54. so h r 8. A 8 8 eer o oe slco om o ceer o eres eh r.6 A () umer esy 8 esy ss esy ( A. W. ) 50 ( 809. ) ρ A ρ. rms /.6 () r ( 0. ).04 A A r + r r A so h r A () A-ye; om er u cell esy () esy(a) ye: om er u cell, so esy() A : esy l: esy (sme s ) () : A.W..99 l: A. W So, mss er u cell mss esy s ρ.8 () so h ρ. m / A 4.6 A esy o A esy o () Sme s () Sme merl () Surce esy Sme A oms oms () Sme s () Sme merl.0 () ol esy o Surce esy () Sme s (). Skech. () (),,,, 4 4 o ( ) ( )

3 Semcouc hyscs evces: sc rcles, r eo her. () sce ewee eres (00) les s: 56. A ()sce ewee eres (0) les s: A sce ewee eres () les s: A.4 () Smle cuc: 4.50 A () (00) le, surce esy, om () (0) le, surce esy, om () () le, surce esy, oms 6 () c h () oy-ceere cuc () (00) le, surce esy, Sme s (),(); surce esy () (0) le, surce esy, oms () () le, surce esy, Sme s (),(), surce esy ce ceere cuc () (00) le, surce esy oms () (0) le, surce esy, oms () () le, surce esy, () (00) le o slco smlr o cc, oms surce esy () (0) le, surce esy, 4 oms () le, surce esy, 4 oms r he 4r A () 4 oms olume esy () sce ewee (0) les,

4 Semcouc hyscs evces: sc rcles, r eo her 4.50 A Surce esy oms esy o slco oms 50 4 vlece elecros er om, so esy o vlece elecros 0.8 esy o GAs oms 8 oms A vere o 4 vlece elecros er om, esy o vlece elecros ( 098. ) () rco y weh 50 ( 806. ) () rco y weh 8 0 ( 0. 8) olume esy 0 So A We hve 54. A So () ercee % 0 () ercee % % 00% 6

5 Semcouc hyscs evces: sc rcles, r eo her her. omuer lo. omuer lo. omuer lo.4 π rolem.; hse ω cos λ π ω 0 v ω λ λ π + π rolem.; hse + ω cos λ π + ω 0 v ω λ λ π.5 hc hc hν λ λ Gol: e ( 4. 90) J So λ λ 054. µ m esum: 90. e J So λ λ µ m () lecro: ().. e J 9 m k m/ s 4 h λ λ. A ().. 00 e J m k m/ s λ h λ. A () roo:.. e J 7 9 m k m/ s 4 h λ.0 λ 087. A use Aom: A. W. 8.9 e J m k m/ s 4 h λ. 0 λ 00. A () A 000 k rvel 0 m/s: mv ( 000)( 0 ) 40 4 k m/ s 4 h λ 4 40 λ A 9

6 Semcouc hyscs evces: sc rcles, r eo her.7 k v e v m v v (. ) k m/ s v 4 h λ λ 9. A.8 hc hν λ h e e e m λ e Se λ λ e 0 e hc h h λ m λ m λ e 0 whch yels h λ 00 mc So e J hc hc mc mc λ 00h J 0. ke.9 () mv h m G λ e 80. J 4. 0 e Also mv k m/ s 4 h λ λ 64 A () 4 h λ k m/ s Also v m/ s m 9.0 v / s 4 mv J e hc () hν 0 λ J 5 9 e so.40.4 k 5 () m k m/ s 4 h λ λ 0. A

7 Semcouc hyscs evces: sc rcles, r eo her. 4 h () k m/ s () hc hc c λ h So c( ) J 098. e. 4 () h k m/ s () 6 m J e. () Sme s. (), k m/ s () 6 m J e.4 4 h mv v m 500 v 70 6 m/ s.5 4 h () k m/ s 4 () () s.6 () Ψ (, ) Ψ, Schroer s wve equo, he re soluos o h Ψ, Ψ, + () Ψ (, ) jh m h Ψ (, ) Ψ, + () Ψ (, ) jh m A he wo equos, we o h Ψ(, ) + Ψ (, ) m + Ψ, + Ψ, jh Ψ(, ) + Ψ (, ) whch s Schroer s wve equo. So Ψ(, ) + Ψ (, ) s lso soluo. () Ψ Ψ were soluo o Schroer s wve equo, he we coul wre h Ψ Ψ+ () Ψ Ψ m jh Ψ Ψ whch c e wre s h + + Ψ Ψ Ψ Ψ Ψ Ψ m Ψ Ψ + Ψ Ψ jh Ψ + Ψ v y Ψ Ψ we h () + Ψ Ψ Ψ Ψ + m Ψ Ψ ΨΨ () + Ψ Ψ jh + Ψ Ψ

8 Semcouc hyscs evces: sc rcles, r eo her Sce Ψ s soluo, he h Ψ + () h Ψ j m Ψ Ψ Surc hese ls wo equos, we re le wh h Ψ Ψ Ψ + m Ψ ΨΨ Ψ jh Ψ Sce Ψ s lso soluo, we my wre h Ψ Ψ + () jh m Ψ Ψ Surc hese ls wo equos, we o h Ψ Ψ () 0 m ΨΨ hs equo s o ecessrly vl, whch mes h ΨΨ s, eerl, o soluo o Schroer s wve equo..7 Ψ, As π e jω z + + Ψ, A s π z + A ( ) s π 4π whch yels A A +,, + j, j.8 Ψ, As π e jω z Ψ, A s π + A ( ) s π 4π 0 whch yels A z 0.9 oe h * z 0 Ψ Ψ uco hs ee mlze () o 4 z e 0 z 4 o o o e o 0 o o o e o o 0 o o e e 4 whch yels 09. () o z e o 4 z o 4 o o o e o o o e o J e e whch yels 09. o z e z 0 o o o o e o 0 o o e whch yels J 4 o o 4 o e o o 0 A +,, + j, j

9 Semcouc hyscs evces: sc rcles, r eo her.0 () k ω cos k ω 0 v + ω k v 5. 0 m s / 9. v s 06 / () π π π k λ λ k λ 49. A Also 4 h λ k m/ s hc hν 0 λ J.960 e. ψ() A jk+ ω where k m h e k m ω h ω.80 r / s. h 4 π π m so J e e e 8. 0 e. () h π m π ( J ) So J 06. e J 04. e () hc hc hν λ λ λ λ m λ 59. µ m.4 () he e oel well h π m m h π so π 56

10 Semcouc hyscs evces: sc rcles, r eo her 5. 0 () h π m ( + ) h π ( + ) m π () J ery he (+) se s Joules lrer h 0 mj. Quum eecs woul o e oservle..5 euro : 4 h π π 7 4 m e elecro he sme oel well: π e.6 Schroer s wve equo ψ () m + ( ()) ψ h We kow h ψ() 0 () 0 + so hs reo ψ () m + ψ () 0 h Soluo s o he m ψ() Acos + s 0 m where h oury coos: ψ() 0 +, So, rs moe: ψ () Acos where π so π h m Seco moe: ψ () s where π so hr moe: ψ () Acos where π so ourh moe: ψ 4 () s where 4π so 4 4 π h m 9 π h m 6π h m.7 he - wve equo cres coes, (,y,z) ψ(, y, z) ψ(, y, z) ψ(, y, z) y z m + ψ (, y, z) 0 h Use sero o vrles, so le ψ(, y, z) X()()() Y y Z z Susu o he wve equo, we e X Y Z m YZ + XZ + XY + XYZ 0 y z h m v y XYZ le k, we h o X Y Z () k 0 X Y y Z z We my se 4

11 Semcouc hyscs evces: sc rcles, r eo her X X k so + k X 0 X Soluo s o he m X() Ask + cosk oury coos: X() π X( ) 0 k where,,,... Smlrly, le Y Z k y k z Y y Z z Aly he oury coos, we π y k y, y,,,... π z k z, z,,,... rom quo () ove, we hve k k k + k 0 y z m k + k + k k y z h so h h π m + + y z y z.8 he -mesol e oel well: + ψ, y ψ, y m + ψ(, y) 0 y h e ψ(, y) X()() Y y susu, X Y m Y + X + XY 0 y h ve y XY So X Y m X Y y h e X k X X + k 0 X Soluo s o he m: X Ask + cosk u X( 0) 0 0 So X Ask Also, X( ) 0 k π Where,,,... π So h k We c lso ee Y k y Y y Soluo s o he m Y sk y + cos k y y y u Y( y 0) 0 0 Y( y ) 0 k π y y so h π y k y m k k + 0 y h whch yels h y y + m π J Smlres: eery s quze erece: ow uco o eers.9 () ervo o eery levels ecly he sme s he e. h π () m, h π m 5

12 Semcouc hyscs evces: sc rcles, r eo her () 4 A π e () π e.0 () reo, > 0 ψ () m + ψ () 0 h Geerl m o he soluo s ψ () A e j + e j where m h erm wh rereses ce wve, erm wh A rereses he relece wve. eo, < 0 ψ () m + ψ () 0 h he eerl soluo s o he m ψ () A ej + ej where m h erm volv rereses he rsme wve, he erm volv A rereses he relece wve; u rcle s rsme o reo, wll o e relece so h A 0. ψ () ej ψ () A ej + ej () oury coos: () ψ 0 ψ 0 () () ψ () ψ 0 0 Aly he oury coos o he soluos, we A + A om hese wo equos, we A + he releco coece s * AA * + he rsmsso coece s 4 +. reo, > 0, we hve ψ () A e where m h.4 e. e S m roly comre o 0, ve y ψ () e ψ () 0 () A 9 0 e % () 48 A 9 0 e %. 6 e,. e We hve h U W / 6

13 Semcouc hyscs evces: sc rcles, r eo her G 6 e where m h / ( 6.) 60 S m 0 0 m 9 U W 9 0 e m Assume h quo [.6] s vl: G 6 e () m S m h m o 9 U W 0067 (. ) 9.0 ( ) 60. / m e () m ( 08. ) S 9 0 m o m 9 4 U W / e e 6 e 4 0 0, 0, 0 m m k m h ( 0 ) S m So 6 e U W / eo, 0 ( < 0 ); eo, ( 0 < < ) ; eo, 0 ( > ). () eo ; ψ () A ej + ej (ce) (relece) eo ; ψ () A e + e eo ; ψ () A e j + ej () reo, he erm rereses relece wve. owever, oce rcle s rsme o reo, here wll o e relece wve whch mes h 0. oury coos: 0: ψ ψ A + A + ψ ψ j A j A : ψ ψ A e + e A ej A lso 7

14 Semcouc hyscs evces: sc rcles, r eo her ψ ψ Ae e j A ej rsmsso coece s ee s * AA * AA so rom he oury coos, we w o solve A erms o A. Solv A erms o A, we A ja + e e 4 l s j e + e e j We he h l + 4 e+ e r m * * AA AA e 4 e We hve h sce >>, he wll e lre so h e>> e we c wre AA * l +4 * AA e 4 whch ecomes e r * * AA AA + e 4 Susu he eressos, we m + h m m h h h m J h * m AA e * h m 6 J h * AA G 6 e AA AA * G 6 m AA lly e *.6 eo : 0 ψ m + ψ 0 h ψ A ej + ej (ce wve) (relece wve) m where h eo : ψ m + ψ 0 h ψ A e j + ej (rsme (relece wve) wve) m where h eo : ψ m + ψ 0 h ψ A e j (rsme wve) m where h here s o relece wve reo. 8

15 Semcouc hyscs evces: sc rcles, r eo her he rsmsso coece s ee s * * v AA AA * * v AA AA rom oury coos, solve A erms o A. he oury coos re: 0: ψ ψ A + A + ψ ψ A A : ψ ψ A e j+ e j A ej ψ ψ Aej e j Aej u π ej e j, elm, A, rom he ove equos, we hve () eo : Sce >, we c wre ψ m ψ 0 h eo : 0, so ψ m + ψ 0 h eo : ψ 0 he eerl soluos c e wre, kee m h ψ mus rem e < 0, s ψ e+ ψ A s + cos ψ 0 where m h m h () oury coos: 0: ψ ψ ψ ψ : ψ ψ A A s + cos 0 A A A sce, he G A rom A, we c wre G G whch ves G ur, hs equo c e wre s m h m h hs ls equo s vl oly secc vlues o he ol eery. he eery levels re quze..8 4 me o 4π h o me o 4π h o ( J) ( e ) π 58. ( e ) 9

16 Semcouc hyscs evces: sc rcles, r eo her 58. e. 95e. 5e e 4.9 We hve / ψ 00 π r G e o o * r r r o G 4π ψ ψ 4π e o π 4 r r e o o o he mmum roly () r 0 r 4 + r G r G r e r e S o o o o UW whch ves 0 r + r o o r o s he rus h ves he rees roly..40 ψ 00 s eee o θ φ, so he wve equo shercl coes reuces o mo ψ r + ( 0 () r ) ψ r r r h where () r ψ 00 e r h 4π m r π o o o / r G e o o / r o G o G e o ψ 00 r π r ψ 00 r π o so h r ψ 00 r r 5 / r e G r 5 / G G G G G o o o o G / h G o e o o π o o r r r r e e π o o o o Susu o he wve equo, we hve 5 / r r r r e e r π m r + + h mr where 4 me o 4π h o o h m he ove equo ecomes / π r G r e r r + m o h o π S U W o o o o h m / h + 0 mr o o o o S r G e o o UW o r r o o o o whch ves 0 0, shows h ψ 00 s ee soluo o he wve equo..4 All elemes rom Grou colum o he eroc le. All hve oe vlece elecro he ouer shell. 0 0

17 Semcouc hyscs evces: sc rcles, r eo her her. o were o crese, he eery woul ecrese he merl woul e o ehve less lke semcouc me lke mel. o were o ecrese, he eery woul crese he merl woul e o ehve me lke sul.. Schroer s wve equo h Ψ(, ) Ψ(, ) + () Ψ(, ) jh m e he soluo e o he m Ψ, u e j k h eo, () 0, so susu he roose soluo o he wve equo, we o h { jku e j k m h + () () U u e j k h W j () j h ue j k h h jk u j k h () e j k h () U u e j k h W + () u e j k h whch ecomes h { e m + jk u + hs equo c he e wre s () + + () ku () jk u u m + u () 0 h Se u () u () reo, hs equo ecomes () () u jk u + k α u () 0 where α m h Q... reo, (). Assume he sme m o he soluo Ψ, u e j k h Susu o Schroer s wve equo, we o h { jk u e j k m h () e j k h () U u e j k h W + () u e j k h () u e j k h + jk u + hs equo c e wre s () + + () ku () jk u u m m () + () 0 u u h h Se u () u () reo, hs equo ecomes u() jk u () + where α m h m k α + u 0 h () Q...

18 Semcouc hyscs evces: sc rcles, r eo her. We hve u () jk u + () k α u () 0 he roose soluo s u () A e j ( α k ) + e j ( α + k ) he rs ervve s u () j ( α k ) Ae j ( α k ) j( α + k) e j( α + k) he seco ervve ecomes u() j( α k) Ae j( α k) + j( α + k) e j( α + k) Susu hese equos o he erel equo, we α k Ae j α k ( α + k) e j( α + k) + jk{ j( α k) A e j( α k) j( α + k) e j( α + k) } k α { Ae j( α k) + e j( α + k) } 0 l k q α Ae j( α k) + m cα + αk + kh + kα + k k αqe j( α + k) om erms, we hve α αk + k k α k We h 0 0 Q... he erel equo u () he roose soluo, he roceure s ecly he sme s ove..4 We hve he soluos u () A e j ( α k ) + e j ( α + k ) 0 < < u ( ) e j ( β k ) + e j ( β + k ) < < 0 he oury coos: u () 0 u () 0 whch yels 0 A+ 0 Also u u 0 0 whch yels ( α k) A ( α + k) ( β k) + ( β + k) 0 he hr oury coo s u () u ( ) whch ves Ae j α k + e j α + k ( β ) e ( β ) e j k + j + k hs ecomes Ae j α k + e j α + k ( β ) e ( β ) 0 e j k j + k he ls oury coo s u u whch ves j( α k) Ae j( α k) j( α + k) e j( α + k) j( β k) e j( β k) j( β + k) e j( β + k) hs ecomes α k Ae j α k ( α + k) e j( α + k) ( β ) e ( β ) ( β ) ( β ) k j k + + k e j + k 0.5 omuer lo.6 omuer lo.7 s α + cosα cos k α e k y, α s + cos cos y oser o hs uco y 4

19 Semcouc hyscs evces: sc rcles, r eo her { s + cos } s y We o ( )() + () s cos y y S S s y UW y s y + y s cos s s y k π, 0,,,... s y 0 So h, eerl, he ( α) α 0 y ( k) k A / m α m m α h k h h k hs mles h α 0 k π k k.8 α ( α) 9 s + cosα cos k α () k π cos k s o: α π : o: α 66. π ( o y rl err) m α h α h m So ( α) α J α 054. e So α π 504. e α 66. π 4.45 e UW y.64 e () k π cos k + s o: α π o: α.54 π e e 4 so 69. e k π cos k s o: α π o: α 44. π 57. e e 6 so 4.6 e () k 4π cos k + s o: α 4 π o: α 4.7 π e e 8 so 4.66 e.9 () 0 < k < π k 0 cos k + y rl err: s o: α 08. π o: α π rom rolem.8, α 054. e 06. e 504. e so e () π < k < π Us resuls o rolem.8 s o: α 66. π o: α π 5

20 Semcouc hyscs evces: sc rcles, r eo her 4.45 e e 4 so 87. e π < k < π s o: α.54 π o: α π e e 6 so 8. e () π < k < 4π s o: α 44. π o: α 4 π e e so 67. e.0 6 s α + cosα cos k α e eery s () k π cos k s o: α π o: α 56. π (y rl err) rom rolem.8, ( α) ( 054. ) e 504. e 660. e so.6 e () k π cos k + s o: α π o: α.4 π e e 4 so.79 e k π cos k s o: α π o: α. π 57. e e 6 so 4. e () k 4π cos k + s o: α 4 π o: α 4.6 π e e 8 so. e. Allowe eery s Use resuls rom rolem.0. () 0 < k < π s o: α π (y rl err) o: α π We hve α 054. e e 504. e so 068. e () π < k < π s o: α 56. π o: α π 660. e e 4 so.6 e π < k < π s o: α.4 π o: α π 6

21 Semcouc hyscs evces: sc rcles, r eo her e e 6 so 4.7 e () π < k < 4π s o: α. π o: α 4 π e e 8 so 7.9 e. 00 ; ( 00) e e e e e e. he eecve mss s ve y * m h k We hve h curve A> curve k k so h * * m curve A < m curve 4.4 he eecve mss hole s ve y * m h k We hve h curve A> curve k k so h * * m curve A < m curve.5 os A, : < 0 k velocy reco; os, : > 0 velocy + reco; os A, ; k < 0 os, ; > 0 k.6 k h m A k 0 A So eve eecve osve eecve k A + k 0 9 m A: ( 007. ) 6. 0 m whch yels so m k curve A; m m o : ( 07. ) 6. 0 m whch yels m k so urve : m m o.7 k h m m mss; mss; 7

22 Semcouc hyscs evces: sc rcles, r eo her * 9 k 0. A 0 m urve A: ( 008. ) 6. 0 m whch yels m m 4.40 k m o urve : ( 04. ) 6. 0 m whch yels m m k m o.8 () hν 9 ( 4. ) 6. 0 ν 4 h ν z () 8 c 0 7 λ m 4 ν 4. 0 λ µ m.9 urve A: ecve mss s cos urve : ecve mss s osve rou k 0, s eve rou k ± π..0 k k ( α) s α k k k + αs αk k So α cos αk k k cos α α k k k We hve m * h k α h m * h α. he -mesol e oel well, () 0 whe 0 < <, 0 < y <, 0 < z <. hs reo, he wve equo s + + ψ, y, z ψ, y, z ψ, y, z y z m + ψ (, y, z) 0 h Use sero o vrles echque, so le ψ(, y, z) X()()() Y y Z z Susu o he wve equo, we hve X Y Z YZ + XZ + XY y z m + 0 XYZ h v y XYZ, we o X Y Z m X Y y Z z h e X X k + k X 0 X he soluo s o he m X() As k + cos k Sce ψ(, y, z) 0 0, he X() 0 0 so h 0. Also, ψ(, y, z) 0, he X() 0 so we mus hve k π, where,,,.. Smlrly, we hve Y Z k y k z Y y Z z rom he oury coos, we 8

23 Semcouc hyscs evces: sc rcles, r eo her k π k π y y z z where y,,,... z,,,... rom he wve equo, we hve m k k k + 0 y z h he eery c he e wre s h m + + π y z. he ol umer o quum ses he - mesol oel well s ve ( k-sce) y ( kk k ) k π π where m k h We c he wre k m h k he erel, we o k m m h h Susu hese eressos o he esy o ses uco, we o ( m m ) π π h h o h h h m hs esy o ses uco c e smle wre s ( ) 4π ( m ) / h v y wll yel he esy o ses, so h. / 4π m h / * 4π m ( ) h.4 / * + k 4π m h z * / + m k / h 4π * / 4πm ( k) h / / 4π / m / * 4π m ( ) h.5 () / * 4π m h z k * / m / h k 4π * / 4πm / ( k) h / 4π (. ) / m / * 4π m ( ) h / 4π / m J 9

24 Semcouc hyscs evces: sc rcles, r eo her ( ) 7.60 e e e e e / 7 0. e * 4π m () ( ) h / 4π ( 056. ) / m J ( ).850 e ( ) 005. e 00. e 05. e 00. e.6.7 omuer lo / * m * / m.8! 0!!! 8! 0 8! ( 0)( 9)( 8! ) ( 0)( 9) ( 8! )(! ) ()() e m / * * m 45 ().0 + e () + ( ) 069. k e k + e + e k () k, ( ) ( ) 069. () 5 k, ( ) k, ( ) ( ) + e k ( ) + e k + e () + e 5 () + e 0 () k, () 5 k, ( ) k, ( ) () + e + k k. () 00 k e + e k e k 0

25 Semcouc hyscs evces: sc rcles, r eo her + ( ) k + k + ( ) k + k () 400 k ( ) k + k + ( ) k + k ( ) h 4 π π 0 m J e e, e. 5 As s romo > 0, ssume he roly o 5 se e occue s he sme s he roly o 4 se e emy e + e k k e + e k k e () -mesol e oel well, h π y z + + m y z π e y z 5 elecros, eery se creso o cos oh elecro y z emy se, so ( 076) e () elecros, eery se creso o cos oh y z elecro emy se, so e.5 he roly o se + e occue s + e + e k k he roly o se e emy s + e k e k + e + e k k + + e k ece, we hve h Q...

26 Semcouc hyscs evces: sc rcles, r eo her.6 () A eery, we w e + e k k + e k hs eresso c e wre s + e k 00. e k e k + kl ( 00) + 4.6k () A + 4.6k, 4.6k + e + e k k whch yels () 65. e, 00, A 650. e () + e % k k e ( ) 4.5% + e e k e 00. k 099. whch c e wre s e 99 k l( 99) k k l( 99) So () ( ) e %. () A 000 k e ( ) e % ( ) e % () A.9,, ( ) + e k ll emerures. e k

27 Semcouc hyscs evces: sc rcles, r eo her 00. e , e ( ) e e e 08. ( ) () e A, ( ) 07. e e k so A, e so.40 () A, A k e, he e k e e, So. e e k ( ) () e, A, ( ) 0. e e k A, e k ( ) + e k so ( ) + e k e e k k e ( ) k k + e k () 0, < e( ) 0 0 > e( + ) + 0 A.4 () A m, G + e + e S:. e, ( ) + e Ge: 066. e, k (. ) k

28 Semcouc hyscs evces: sc rcles, r eo her ( ) + e GAs: 4. e, ( ) + e (. ) (. ) 4. 0 () Us resuls o rolem.5, he swers o r () re ecly he sme s hose ve r ()..4 6 ( ) e k e 0 6 k e 0 l 0 k k 055. k 46 l A, 005. So e k l ( 9) k y symmery,, 005., So k l ( 9 ) l ( 9) k () A 00, k e l e () A 500, k e l e 4

29 Semcouc hyscs evces: sc rcles, r eo her 4 her 4 4. e k ( ) k e () Slco () Germum ( ) e k e.90 k y rl err 4. omuer lo GAs e ( ) G e k So e k k A 00 k e A 00 k e G. k e e ( 9.9) whch yels 5. e 00, ( 00) e () k e e k k e e e k, o he mmum vlue / e k 0 k / e k hs yels / k / k he mmum vlue occurs k + () e k Q e e k k e 7

30 Semcouc hyscs evces: sc rcles, r eo her 4 e k o he mmum vlue e k Sme s r (). mum occurs k k 4.6 e k e k where k + 4k + 4k e k k 0 e 4 e omuer lo 4.8 ( A) ( ) ( A) ( ) A k k A e k e e e A k e omuer lo ( A) ( ) e ( ) 4.0 * m m kl G * 4 m J * * Slco: m 056. m, m 08. m 008. e m * * Germum: m 07. m, m 055. m e m * * Gllum Arsee: m 0. 48m, m m e m 4. () m kl 4 () G m m * l e m * J m l e m 4. m k G l k l k 9.80 G 8

31 Semcouc hyscs evces: sc rcles, r eo her 4 ( ) k e omuer lo ( e) e ( ) cos, z z + e k e k z m e η so h k η k We c wre so h e e e k k he erl c he e wre s η k e whch ecomes k 4.5 e η η e( ) k 0 k z e z z z + e k e k Q e η so h k η k We c wre + e k z e k e k z ( k) η e ( η) ( k) η 0 We h η e ηe( η) η ( η ) + 0 z0 So ( k) e k 4.6 r m We hve r m * * Germum, 6, m 0. 55m r r ( 6) (. ). so r 5. 4 A he ozo eery c e wre s m m * G S (. 6 ) e 9

32 Semcouc hyscs evces: sc rcles, r eo her e r m We hve r m * * GAs,., m m r r ( ) (. ). r 04 A he ozo eery s 4.8 () m m J * G S (. 6) e (. 6 ) , > -ye () 4.9 so G kl G l e k e e Assum e k e e () 400 k e / e k e Also / e e () G kl G l e e e

33 Semcouc hyscs evces: sc rcles, r eo her 4 4. k e G kl l 04. e e So e k.8 0 G 9 e () e k e () rom rolem 4., k e 00 G kl 6. 0 G l e rom () rom () 4. () e k e () rom rolem 4., , k e G kl. 0 G l e rom () rom () slco, 00, η k We c wre η 060. / 4

34 Semcouc hyscs evces: sc rcles, r eo her 4 9 η / π π Slco, 00, 50 9 We hve η / π η / π whch ves η 58. / η. k e 4.6 he elecro cocero ( ) ( ) he olzm romo les so * / 4π m e h k * / 4πm e h k k k ee k e ( ) o mmum, se () e k / / 0 e + e / 0 e ( ) whch yels + k k he hole cocero ( ) ( ) rom he e, us he well-olzm romo, we c wre * / 4πm h e k k e k k * / 4π m e h k ee k ( ) e ( ) o he mmum o ( ), se 0. Us he resuls rom ove, we he mmum k 4.7 () Slco: We hve e k We c wre e, k e e ( 4.77) We lso hve 4

35 Semcouc hyscs evces: sc rcles, r eo her 4 e.40 k.950 A, we c wre () k, e e e( 4.77) () GAs: Assume e e e (. 4) Assume e e e ( 4.) 4.8 omuer lo 4.9 () Ge: he o level + e k e A ( ) + e k + k e

36 Semcouc hyscs evces: sc rcles, r eo her 4 4. () 0 5 () () 400 k e e Also (e) 500 k e e Also () 0 5 () () k e e (e) k e e

37 Semcouc hyscs evces: sc rcles, r eo her 4.80 Also () > -ye () S:.50 0 Ge: G GAs: A e () () 7. 0 > -ye ol oze mury cocero > -ye

38 Semcouc hyscs evces: sc rcles, r eo her k e e \ A omuer lo 4.8 omuer lo 4.9 omuer lo ye, so mjy crrer elecros 4.4 () > -ye () > -ye () < -ye () elecros: my crrer holes: mjy crrer so Acce mury cocero, 50 5 o mury cocero 4.4 G kl Germum: k( e )

39 Semcouc hyscs evces: sc rcles, r eo her 4 e + + ( ) y rl err 4.46 omuer lo e G kl Germum, e so whch yels We hve e k so 4.47 omuer lo 4.48 () m kl 4 G m m * * J ( 0059) ( 0) e m () mury oms o e e so e m 045. () -ye, so cce mures () e e k 5 0 e k so e so 4.50 e () k e

40 Semcouc hyscs evces: sc rcles, r eo her e e 5 k ( ) l e () e e so h Acce mures o e e () k 0 G l l e () kl e (), 0 5 () G kl l 045. e G so <, os mus e e G () kl () () (e) l G e G kl l G 047. e k e,.80 G kl l.80 G 09. e k e, G kl l G e 48

41 Semcouc hyscs evces: sc rcles, r eo her () k G l () () l G e k G l l G 058. e k e, l G e (e) k e,.80 G kl ye l.80 G 056. e G kl l G 094. e 49

42 Semcouc hyscs evces: sc rcles, r eo her 4 (e le lk) 50

43 Semcouc hyscs evces: sc rcles, r eo her 5 her 5 5. () () J eµ Ε GAs oe 0 6, µ 7500 / s 9 6 J 6. 0 ( 7500) 0 ( 0) () () J 0 A/ 0 6, () GAs oe 0 6, µ 0 / s J eµ Ε 6 0 ( 0) 0 ( 0) 9 6. J 4.96 A/ 5. () 0 ( 0. ) 00 Ω () σ σa A 0 σ ( 00) 0 σ 00(. Ω ) σ eµ ( 50) 4.60 () σ eµ ( 480) oe: he o coceros oe, he ssume moly vlues re vl. 5. ρ () σ eµ A σa 50 6, µ 00 / s ( 00) 50 ( 00) Ω ma () hs cse 6. 0 Ω ma 6. 0 Ε 5 (), Ε 50 / 00. A v µ Ε ( 00)( 50 ) v / s 5 (), Ε 500 / 00. A v v / s 5

44 Semcouc hyscs evces: sc rcles, r eo her () GAs: ρ kω A 0 σa σ eµ 0 7, µ 0 / s σ Ω So σa ( 500)(. 6) µ m () Slco 0 7, µ 0 / s σ Ω So σa ( 500)( 4.96) µ m 5.5 () Ε / v () v v 0 µ Ε µ Ε µ / s µ Ε ( 800)( ) v.4 s 0 / 5.6 () Slco: Ε k /, v. 06 / s s 6 v. 0 GAs, v 7.5 s 06 / s 6 v 7.50 () Slco: Ε50 k /, v 9.5 s 06 / s 6 v 9.50 GAs, v 7 s 06 / s 6 v rsc semcouc, σ e µ µ + () 0 4, µ 50 / s, µ 480 / s 9 0 σ ( ) σ ( Ω ) () 0 8, µ 00 / s, µ 0 / s 9 0 σ ( ) σ Ω 5.8 () GAs σ eµ 5 µ rom ure 5., us rl err, we 7. 0, µ 40 / s 54

45 Semcouc hyscs evces: sc rcles, r eo her () Slco: σ eµ ρ e 9 ρµ () oe: he o coceros oe r (), he ssume moly vlues re vl. 5.9 σ e µ + µ ( ) e k kl l. e ( 500) 0 e ( ) σ ( ) so σ Ω () () Slco: σ e µ + µ σ ( ) σ ( Ω ) () Ge: 9 σ ( ) σ. 0 ( Ω ) () GAs: 9 6 σ ( ) σ ( Ω ) () σa 4 () Ω 4 () Ω 4 () Ω 5. () ρ 5 eµ Assume µ 50 / s ( 50)( 5) () rom ure 5., 75,

46 Semcouc hyscs evces: sc rcles, r eo her 5 µ 500 / s 5, 0 5 µ 700 / s Assum over he emerure re, 00, ρ ( 500) 9.60 ρ.7 Ω 400, ρ ( 700) 9.60 ρ 9.64 Ω 5. omuer lo 5. () Ε 0 / v µ Ε v 50 0 v / s so * m v ( 08. ) J e () Εk /, v / s 4 ( 08. ) () J e e k 9 9 e >> J σ Ε eµ Ε ( 000) 0 ( 00) J 60. A/ () A 5% crese s ue o 5% crese elecro cocero. So We c wre so whch yels e e 00 k y rl err, we 456 k 5.5 () σ eµ + eµ eµ σ + eµ o he mmum coucvy, σ eµ ( ) 0 + eµ whch yels G / µ (Aswer o r ()) µ Susu o he coucvy eresso eµ σ σ + eµ µ µ m / µ µ whch smles o σ e µ µ m he rsc coucvy s ee s / 56

47 Semcouc hyscs evces: sc rcles, r eo her 5 σ σ e µ + µ e µ + µ he mmum coucvy c he e wre s σ µ µ σ m µ + µ () A () A 00, µ ( 00)( 87. ) µ 88 / s 400, µ ( 00)( 0. 65) µ 844 / s 5.6 σ eµ ρ e ρ ρ e 00. e k k k k , k k ( ) l ( 0). e µ µ µ µ µ 6 / s k k 5.8 µ / + / µ µ µ µ 67 / s 5.0 omuer lo 5. omuer lo 5. J e e () ( 09. )( 000. ) 4 50 () ( 5) whch yels 5. () J e e G J A A/ () AJ ma 57

48 Semcouc hyscs evces: sc rcles, r eo her so J e e J 5 / s e e 6 0 e J 6 A/ cos ll hree os 5.6 J ( 0) e ( 0) 0 e 4 50 J ( 0). A/ J ( 0) e ( 5) 50 e 0 J ( 0) A/ J J ( 0) + J ( 0). + J 5. A/ J e e 0 5 e.5 sce s µm, so J e 0 e ( 48) 0 e e A/.5 + J J eµ Ε + e e 8 + Ε e 8. e Ε. e 8 8. e e 8 + Ε e Ε 5.9 J J + J, r, () J e, () 0 5 e where µ m so 5 J e e, 0 58

49 Semcouc hyscs evces: sc rcles, r eo her ( ) 0 J e, A+ e. 0 7 e J + 6. e A/, hs equo s vl ll, so () A J J J, r, A Also J e r, e J eµ Ε 0 7. r, e ( 000) 0 Ε whch yels e A 0, eµ () 0 Ε 50 whch yels so h ( 8000)( )( A+ ) Ε e / whch yels () J e () + e () µ Ε () e () 5 5 µ 8000 / s so h A 0, () ( 0 059)( 8000) 07. / s r () ( 8000)( ) ( ) A 50 µ m, 9 () ( 07) ( 50) e 5. whch yels 4 7 () () +. 0 Soluo s o he m A 50 µ m, J eµ ( 50) Ε r () 9 5 A+ e. 60 ( 8000) ( ) so h () e J ( 50) 94.9 A/ r J ( 50) Susu o he erel equo, we hve J ( 50) 5. A/ 59

50 Semcouc hyscs evces: sc rcles, r eo her 5 5. e k () +, 04. so h So e G k () J e G e e k k Assume 00, k e, J e G G J e () A 0, J.950 A/ () A 5 µ m, J 7. A/ 5. () J eµ Ε + e Ε + G where 00 0 We Ε 6. Ε Ε Solv he elecrc el, we Ε () J 0 A/ 0. 6 Ε Ε 5. () J eµ Ε + e e o e ( α), J 0 0 µ e α Ε + α e α o o 0 Ε + α Sce So µ k µ e Ε α k e () /α z Ε 0 k α e α / k α z e 0 α k so h e 5.4 rom mle ( ) Ε 0 ( ) z Ε ( ) z 60

51 Semcouc hyscs evces: sc rcles, r eo her l 0 0 ( ) l ( 0. ) l ( ).7 m 5.5 rom quo [5.40] () () 4 0 k Ε e () 000 ( ) () () () 0 Soluo s o he m () A e( α ) () Aα e ( α ) Susu o he erel equo Aαe α Ae α 0 whch yels α A 0, he cul vlue o () 0 s rrry. 5.6 () J J + J 0 r J e e () e ( ) e o We hve k µ ( 6000)( ) / s e J ( 55. 4) 5 0 e J e A/ 0 () 0 J + J r J eµ Ε r e Ε 48Ε e We hve J J r so 48Ε e e whch yels 5.7 omuer lo Ε.580 / 5.8 k () µ ( 95)( ) e so. 96 / s () 8. / s 8. µ µ 09 / s We hve 0 0 m, 4 5 W 0 0 m, 0 0 m () We hve 0 0 m 6 z e.9 m, ma 0 A

52 Semcouc hyscs evces: sc rcles, r eo her 5 () 5.40 () ().90 W / z e 05. m W 0 µ / e W ( 0. ) 0 50 µ 0. 5 m / s 5 / s 5.4 () osve -ye () z z e e m e W µ ( 5) 0 0 µ m / s 87 / s 5.4 () W m () eve -ye z e m 4.90 () µ e W (. 5) µ 00. m / s 00 / s 5.4 () eve -ye z () e µ µ 88 / s e W 9 4 () σ eµ. 60 ( 88) ( ) ρ ρ 088(. Ω ) 6

53 Semcouc hyscs evces: sc rcles, r eo her 6 her ye semcouc, low-jeco so h δ 50 6 τ s 6. () τ s () δ 0 7 τ s so s 6. () ecomo res re equl τ τ So τ 00 + τ s 4 () Geero e ecomo e So 4.50 G G s 6 00 G s hc () hν 0 λ J hs s he eery o hoo. W J / s hoos/s + olume ()( 0. ) eh rs/ s () 9 6 δ δ τ δ δ We hve + + τ J eµ Ε e he hole rcle curre esy s J + µ Ε ( + e) + µ ( Ε ) We c wre ( Ε) Ε + Ε so 65

54 Semcouc hyscs evces: sc rcles, r eo her 6 + µ ( Ε + Ε) ( + ) µ Ε Ε + + τ We c he wre µ ( Ε + Ε ) + τ 6.6 rom quo [6.8] + + τ sey-se, oe-mesol cse, s 6.7 rom quo [6.8], s 6.8 We hve he couy equos () ( δ ) µ Ε ( δ) + Ε + ( δ ) τ () ( δ ) + µ Ε ( δ) + Ε + ( δ) τ y chre eurly δ δ δ δ δ ( δ) ( δ) ( δ) ( δ ) Also, τ τ we c wre () ( δ ) µ Ε ( δ) + Ε + δ () δ + µ Ε δ + Ε + δ ully quo () y µ quo () y µ, he he wo equos. We µ + µ ( δ) + µµ ( ) Ε ( δ) + µ + µ µ + µ ve y µ + µ, he µ + µ ( δ) µ + µ J µµ ( ) + Ε δ µ + µ ee µ + µ µ + µ µµ µ µ + µ + δ ( ) + + δ we hve + + ( δ) ( δ ) µ Ε ( δ) ( ) Q... 66

55 Semcouc hyscs evces: sc rcles, r eo her Ge: 00, Also We hve µ 900, µ 900 0, 49. ( + ) ( 0) ( 49.) / s Also µµ ( ) µ µ + µ ( 900) ( 900) 6. 0 µ 868 / s τ τ τ 4 µ s whch yels τ 54 µ s 6.0 σ eµ + eµ Wh ecess crrers rese +δ +δ -ye semcouc, we c wre δ δ δ σ eµ + δ + eµ + δ σ eµ eµ e µ µ δ so σ e µ µ δ sey-se, δ τ So h σ e µ + µ τ 6. -ye, so h my crrers re holes. Um eero hrouhou he smle mes we hve δ ( δ) τ omoeeous soluo s o he m ( δ) A G e τ J he rculr soluo s ( δ) τ so h he ol soluo s ( δ) τ A G + e τ J A 0, δ 0 so h 0 τ + A A τ τ J e e e eµ e µ µ δ ( 000) ( ) 50 0 e τ J δ τ e he coucvy s σ µ µ µ µ δ so σ

56 Semcouc hyscs evces: sc rcles, r eo her 6 σ e where τ 0 7 s τ J 6. -ye GAs: σ eµ + µ ( δ) sey-se, δ τ. 9 7 σ. 60 ( ) 0 0 σ 057(. Ω ) he sey-se ecess crrer recomo re 0 s 6. < 0, sey-se, so 7 δ() 0 τ 50 0 () δ σ eµ + e µ + µ ( δ) 0, δ δ() 0 e τ 9 6 σ ( ) 5. 0 e τ σ e τ We hve h Aσ AJ AσΕ so 4 0 () e τ ( 00. ) e τ ma where τ 0 7 s 6.4 () -ye GAs, + + δ ( δ ) ( δ ) µ Ε ( δ ) τ Um eero re, so h ( δ) ( δ) 0, he δ ( δ) τ he soluo s o he m δ τ e τ δ e τ τ () mum vlue sey-se, So ( δ) ( δ) τ τ s τ 0 4 eerme whch () δ ( 075. ) 0 4 We hve e τ whch yels τ l 9. µ s 075. () δ We τ l 069. µ s 05. () δ We τ l 088. µ s ()

57 Semcouc hyscs evces: sc rcles, r eo her 6.50 τ τ 0 τ.50 7 s 4 δ 0 7 τ s ecomo re creses y he c () rom r (), τ.50 7 s 6.6 Slco, -ye s δ τ τ e δ 0 e τ e τ A 0 7 s, e δ ( ) δ 7 > 0 7 s, 7 0 δ 6. 0 e τ where τ s () 0 < < 0 6 s δ τ e τ e τ 4 δ 0 e τ where τ 0 6 s A 0 6 s δ µ s 0 4 e δ µ s > 0 6 s 6 δ e τ () () A 0, δ 0 () A 0 6 s, δ () A, δ ye, my crrers re elecros sey-se, ( δ) 0, he () ( δ ) δ 0 τ ( δ) δ 0 Soluo s o he m δ Ae + e + u δ 0 s so h 0. A 0, δ 0 δ 0 e k τ, where µ e / s µ m. Q 69

58 Semcouc hyscs evces: sc rcles, r eo her 6 () J e ( δ ) e 0 e e J.6 e ma/ 6.9 () -ye slco, () cess my crrer cocero δ A 0, 0 so h δ () he oe-mesol cse, ( δ ) δ 0 τ ( δ) δ 0 where τ he eerl soluo s o he m δ Ae + e+, δ rems e, so h 0. he soluo s δ e 6.0 -ye so elecros re he my crrers + + δ δ ( δ ) µ Ε ( δ ) τ ( δ) sey se, 0, Ε 0, so we hve ( δ ) δ δ δ 0 τ where τ he soluo s o he m δ Ae + e + 0 >0, 0 he ecess cocero δ mus rem e, so h 0. A 0, δ () 0 0 5, so he soluo s δ 0 e 5 We hve h µ 050 / s, he k µ / s e τ µ m () lecro uso curre esy 0 J e ( δ ) 0 e 0 e e J 094. A/ Sce δ δ, ecess holes use he sme re s ecess elecros, he J ( 0) A/ () A, J e 5 ( δ ) e0 ( ) e e J 044. A/ J A/ 6. -ye, so we hve ( δ ) ( δ) δ µ Ε τ Assume he soluo s o he m δ Ae s 0 70

59 Semcouc hyscs evces: sc rcles, r eo her 6 ( δ) As e ( s), ( δ ) As e ( s) Susu o he erel equo Ae( s) Ase( s) µ Ε Ase( s) 0 τ s µ Ε s 0 τ v y µ s Ε s 0 he soluo s s µ µ 4 s Ε ± Ε + hs c e rewre s J µ Ε µ Ε s ± + We my ee µ Ε β s β ± + β er h δ 0 > 0, use he mus s > 0 he lus s < 0. he soluo s δ() > 0 δ() Aes < 0 + where s ± + β β ± 6. omuer lo J 6. () rom quo [6.55], ( δ ) ( δ) δ + µ Ε τ ( δ ) µ ( δ ) + Ε δ 0 We hve h k µ e so we c ee 0 µ Ε Ε k e we c wre ( δ) ( δ) δ + 0 Soluo wll e o he m δ δ() 0 e ( α) where α > 0 ( δ) ( δ) αδ ( ) α ( δ) Susu o he erel equo, we hve δ α ( δ) + α ( δ) 0 α α 0 whch yels α S oe h Ε () + + U W 0,, he α τ where µ e / s m µ Ε /, he 7

60 Semcouc hyscs evces: sc rcles, r eo her 6 k e Ε α ce o he elecros ue o he elecrc el s he eve -reco. heree, he eecve uso o he elecros s reuce he cocero ros o ser wh he le elecrc el ye so he my crrers re elecros, he + + δ ( δ ) ( δ ) µ Ε ( δ ) τ Um llumo mes h δ δ 0. τ, we re le wh ( δ) whch ves δ + < 0, δ 0 whch mes h 0. δ G 0 >, 0 so we hve ( δ ) 0 r δ G (o recomo) 6.5 -ye so my crrers re holes, he + δ δ ( δ ) µ Ε ( δ ) τ ( δ) We hve τ, Ε 0, 0 (sey se). we hve ( δ ) ( δ) 0 + < < +, G cos. ( δ) G + G δ + + < <, 0 so we hve ( ) so h δ δ 0 δ + 4 < <, 0 so h ( δ) ( δ) 0,, 5 δ he oury coos re () δ 0 + ; () δ 0 ; () δ couous + ; (4) δ couous ; he lu mus e couous so h ( δ) ( δ) (5) couous + ; (6) couous. Aly hese oury coos, we G δ 5 < < + G δ G δ ( ) < < ( + ) < < µ 875 / s Ε µ Ε ( ) whch ves / s rom he se relo, k µ e

61 Semcouc hyscs evces: sc rcles, r eo her / Assume h, 4π e 4 s he soluo o he erel equo G o rove: we c wre / G 4π e 4 4 / G 4π e 4 4 / + G 4π e 4 4 Also / 4π e 4 4 G / + / G 4π e 4 Susu he eressos o he erel equo, we 0 0, Q omuer lo 6.9 -ye δ δ τ We hve kl G δ G l e 4 k 6.0 () -ye + l G δ G l e G kl 5 50 G l e () δ δ k + l G δ G l e k + l G δ G l e 7

62 Semcouc hyscs evces: sc rcles, r eo her ye GAs; We hve δ δ ( 0. ) 50 5 () + kl G δ G l e We hve G kl 6 50 G l e so e () + kl G δ 5 50 G l e 6. Qus-erm level my crrer elecros k We hve 4 δ G 0 µ m 50 + l G δ elec he my crrer elecro cocero kl We 4 () 0 6 m Q 50 µ 8. 0 ( µ m) e Qus-erm level holes: we hve + kl G δ We hve 0 6, δ δ We µ m 6. () We c wre kl ( e) 0 50 G kl G δ so h ( ) + δ G k l k l + δ kl k ( 00. ) + δ e ( 00. )

63 Semcouc hyscs evces: sc rcles, r eo her 6 δ 000. low-jeco, so h δ 50 () k G l δ 50 G l e 6.4 omuer lo 6.5 omuer lo 6.6 () τ τ τ + + τ τ + τ () We h ee he e eero re s + + where sce hese re he herml equlrum eero recomo res. 0, he τ + τ +. hus eve τ + τ recomo re mles e osve eero re. so h 6.7 We hve h τ + + τ + +δ +δ, he + δ + δ τ + δ+ + τ + δ+ + δ + + ( δ ) τ δ τ δ <<, we c elec he ( δ) ; lso δ δ + τ + + τ + () -ye, >>, >> s δ τ () rsc, δ τ + τ 7 7 δ τ + τ s δ ye, >>, >> 7 δ τ 50 0 s

64 Semcouc hyscs evces: sc rcles, r eo her () rom quo [6.56], ( δ ) δ 0 + τ Soluo s o he m δ τ + Ae + e + A, δ τ, so h 0, δ τ + A e We hve ( δ ) s 0 ( δ ) 0 We c wre ( δ) A 0 ( δ) 0 τ + A A s τ + A Solv A we s A τ + s he ecess cocero s he δ τ where s + s e J 7 τ J 7 s δ 0 0 e s s 4 δ 0 e s () s 0, δ () s 000 / s, δ e J J Q 4 () s, δ 0 e () () s 0, δ () () J () s 000 / s, δ () s, δ() τ () 7 5 A , τ r δ τ 0 5 > 0 ( δ ) δ ( δ) δ 0 0 τ Soluo s o he m δ Ae + e+ A 0, δ δ A+ A W, δ 0 Ae W + e + W Solv hese wo equos, we W A δ e + ew δ ew Susu o he eerl soluo, we δ δ e+ W ew ke + ( W ) e ( W ) δ sh ( W ) δ sh W where δ µ m () τ, we hve ( δ) 0 so he soluo s o he m δ + 76

65 Semcouc hyscs evces: sc rcles, r eo her 6 Aly he oury coos, we δ δ W 6.40 τ, we hve ( δ) δ 0 so h A δ A + A W δ s ( ) W δ W A saw ( + ) whch yels A + sw s A 0, he lu o ecess holes s 0 9 δ 0 A so h A sw 0 +W s s he soluo s ow 8 0 δ 0 W + s () s, 8 4 δ 0 00 () s 0 / s δ W < < 0, ( δ ) G 0 + so h ( δ) G + G δ < < W, ( δ) ( δ) 0, so, δ + 4 he oury coos re: () s 0 W, so h ( δ ) W 0 () s + W, so h δ( W) 0 () δ couous 0 ( δ) (4) couous 0 Aly he oury coos, we GW GW, + 4, W < < 0 G δ W + W 0 < < + W GW δ ( W ) 6.4 omuer lo 77

66 Semcouc hyscs evces: sc rcles, r eo her 6 (e le lk) 78

67 Semcouc hyscs evces: sc rcles, r eo her 7 her 7 7. G l where We () 0 5 () ( ) v () () ( ) v S: Ge:.40 GAs: G l () 4 7 0, 0 S: 065., Ge: 05., GAs: 0. () , 50 S: 0778., Ge: 096., GAs: , 0 S: 084., Ge: 04., GAs: omuer lo 7.4 omuer lo 7.5 () -se: G kl -se: 5 50 G l e G kl 7 0 G l e () G l ( 0059). l

68 Semcouc hyscs evces: sc rcles, r eo her 7 () G e + 4 (. ). (. ) µ m / µ m We hve e Ε m Ε m / () -se 6 0 G l e -se 6 0 G l e () Q Q / / () G l ( 0059). l µ m y symmery 054. µ m e Ε m Ε m / e () k e (-reo) e k e (-reo) G l Q / 84

69 Semcouc hyscs evces: sc rcles, r eo her 7 ( 0059). l () GAs: 0., W Also 05. G l ( ) l G e () e (. ) G 4 e µ m / / () µ m (e) e Ε m e 7.9 () () Ε m / ( 0059). l G e + 4 (. ). (. ) µ m G e + 4 / (. ). (. ) µ m e Ε m / Ε m / Q Q / / 85

70 Semcouc hyscs evces: sc rcles, r eo her G l e k We c wre 00 l l l l l + 00 k + k l l Q Q l l l y rl err () G l ( 0059). l () % che, ssume h he che s ue o, where he mj eeece o emerure s ve y e k l l l l l l l l k l l k l 9 9 U l k W l 9 9 U l W 7 7 l / l k k We c wre k k so h k ( 0059). 00 We he 0.4 k 86

71 Semcouc hyscs evces: sc rcles, r eo her 7 7. () 0 6, G kl 6 0 G l e 0 5, 5 0 G l e () () G l ( 0059). l Q Q / / () e Ε m ( 7. ) Ε m / 7.4 Assume Slco, so k / e / /. G () 80 4, µ m ().0 6, µ m 80 7, µ m () () Also () 096. µ m () 078. µ m µ m () G Q 7 80 / 87

72 Semcouc hyscs evces: sc rcles, r eo her 7 () omuer lo 7.6 () () W G l ( 0059). l 067. S / + + e W Q U W / 0, W , W Ε m W 0, Ε m / 8, Ε / m / () Also G / e µ m e + G / µ m Also W + W 00. µ m. Ε m + ( 5856) W () Ε m / A W Q Q / / 7.7 () G l ( 0059). l () G l ( 0059). l

73 Semcouc hyscs evces: sc rcles, r eo her 7 We c wre e e () W G / e µ m Q / / e Q / 7.9 () elec che S >> 44. so 4.4% che. U W / / () k G l k l k l k + G k l l + So we c wre hs s k l so kl ( ) l 7.95 m 7.0 () W A W W A W We / + + A A e A / + + e + + A A A G 8 5 G 6 / l A l So we W( A) W( ) W A W. / 89

74 Semcouc hyscs evces: sc rcles, r eo her 7 () Ε A Ε j j ( A) ( ) + A W( A) + W Ε A Ε j W W A A + + / A + + A A / G G + G + A A A + 5 G 8 6 / ( A) ( ) j () ( 0059). l so / + Ε m e Q / () l Q Q whch yels l whch yels () We hve () 0 j ( 0) j () 0 j ( 0) j Q Q / / + / 90

75 Semcouc hyscs evces: sc rcles, r eo her 7 0, we (. ) () 0W l so l We c he wre e ( ) ( ) l / j + / j + So 0. + () / 7.4 / e + + ( 0059). l >>, we hve /. 60 ( 7. ) /. +, / 0, / A 60 4, he, 4. 0, 66. he reso requecy s ve y π so h, 67. z 0,.6 z 7.5 e Ε m + juco, so h / + e / e Ε m + Assum h <<, he 9

76 Semcouc hyscs evces: sc rcles, r eo her 7 Ε m e 6. 0 ( 0) W 0 + whch yels 9 We c wre G l.. 9 ( ) l We lso hve / j 4 A so / 9 e Whch ecomes ( 7. ) , he y ero we 7.7 () G l ( 0059). l () Also G e + 4 (. ). (. ) G e + / (. ). (. ) µ m, we hve / whch ecomes We Q Q / / Q / 7.8 A + juco wh 0 4, () A oe-se juco ssume >>, he so e / 9

77 Semcouc hyscs evces: sc rcles, r eo her 7 7 ( ) whch yels 9 () G so G µ m Ε m + ( 9) W () Ε m / ( 0059) l A A / e ( 7) Q / , 4., 05. 6, 089. We c wre A + + e / he + juco + A e so h A e We hve 0, , 660., 6, We Ae G ( 7. ) J G 6 so h , srh le y m m 6 A 0, , 0, whch yels

78 Semcouc hyscs evces: sc rcles, r eo her () l ( 7) , 69., 74. 6, / / 5 A 0 () oe-se juco / 7 e + where s he o cocero he low-oe reo. We hve ( 7) () whch yels () G l where s he o cocero he hh-oe reo. So Q / l whch yels 7. omuer lo () G l -reo Ε ρ( ) e Ε e + 0 We hve e Ε0 < < 0 Ε e + -reo, 0 < < Ε ρ( ) e e Ε + -reo, < < Ε ρ( ) e e Ε + We hve Ε 0, he e so h < < Ε e We lso hve 94

79 Semcouc hyscs evces: sc rcles, r eo her 7 Ε Ε e e + e, 0 < <, e Ε e 7. φ() ρ() () () Ε < < µ m, ρ() + e So Ε e e Ε + A µ m, Ε 0 So 0 e e + e Ε + Ε A 0, Ε() 0 µ m, so e Ε () whch yels ( 7. ) Ε() / ue o oel erece s e φ Ε + z e + + e φ 0, he e e 0 + we c wre z e φ + A µ m φ (. ) φ 86. oel erece cross he rsc reo 4 4 φ Ε() φ 55. y symmery, oel erece cross he - reo sce chre reo s lso 86.. he ol reverse-s vole s he ( 86. ) () he lerly re juco, ρ() e, Ε ρ( ) e Ε z e e + A +, Ε0 So e 0 + e G e Ε () e φ() z Ε + Se φ 0, he 0 e e + + e e φ() G + 95

80 Semcouc hyscs evces: sc rcles, r eo her We hve h e + he whch yels / ( 7. ) ( )

81 Semcouc hyscs evces: sc rcles, r eo her 8 her 8 8. he wr s e e S k e e k e S e k S e k () () l G k e J e m 60 m m 0m 8. e e S k we c wre hs s e + e k S so h k l + e S reverse s, s eve, so 090., we hve S l m 8. omuer lo 8.4 he cross-secol re s 00 A 50 J 0 We hve 4 J J e S J S e so h J.50 0 A/ S We c wre J e + S Q \ τ τ We w τ τ τ whch yels 4.4 J S ( 4.4) We

I I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8

I I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8 emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h

More information

Chapter 2. Review of Hydrodynamics and Vector Analysis

Chapter 2. Review of Hydrodynamics and Vector Analysis her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me

More information

Observations on the transcendental Equation

Observations on the transcendental Equation IOSR Jourl o Mecs IOSR-JM e-issn: 78-78-ISSN: 9-7 Volue 7 Issue Jul. - u. -7 www.osrjourls.or Oservos o e rscedel Euo M..Gol S.Vds T.R.Us R Dere o Mecs Sr Idr Gd Collee Trucrll- src: Te rscedel euo w ve

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

Science & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM

Science & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM GEERAL BIRH-EAH ROCESS A SOME OF HEIR EM EXEAIO- MAXIMAIO) ALGORIHM Il Hl, Lz Ker, Ylldr Seer Se ery o eoo,, eoo Mcedo l.hl@e.ed.; lz.er@e.ed.; ylldr_@hol.co ABSRAC Brh d deh roce coo-e Mrco ch, h odel

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

1. Consider an economy of identical individuals with preferences given by the utility function

1. Consider an economy of identical individuals with preferences given by the utility function CO 755 Problem Se e Cbrer. Cosder ecoomy o decl dduls wh reereces e by he uly uco U l l Pre- rces o ll hree oods re ormled o oe. Idduls suly ood lbor < d cosume oods d. The oerme c mose d lorem es o oods

More information

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner m m i s t r * j i ega>x I Bi 5 n ì r s w «s m I L nk r n A F o n n l 5 o 5 i n l D eh 1 ; 5 i A cl m i n i sh» si N «q a : 1? { D v i H R o s c q \ l o o m ( t 9 8 6) im a n alaa p ( M n h k Em l A ma

More information

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg

More information

b gb g L N b gb gb g Chapter 13 Problem Solutions Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter

b gb g L N b gb gb g Chapter 13 Problem Solutions Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter Semicouct hysics Devices: Bsic riciples, r eitio Chpter Solutios ul rolem Solutios Chpter rolem Solutios Sketch Sketch p-chel JE Silico 9 4 e 0 0 5 0 0 4 7 ( ) 8850 579 ow 8 500 0059 l 0 5 0 0884 so 579

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use

More information

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd,

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd, Ieol Mhemcl oum Vol. 9 4 o. 3 65-6 HIKARI Ld www.m-h.com hp//d.do.o/.988/m.4.43 Some Recuece Relo ewee he Sle Doule d Tple Mome o Ode Sc om Iveed mm Duo d hceo S. M. Ame * ollee o Scece d Hume Quwh Shq

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Isotropic Non-Heisenberg Magnet for Spin S=1

Isotropic Non-Heisenberg Magnet for Spin S=1 Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue

More information

Differential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions

Differential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions Ierol Reserc Jorl o Aled d Bsc Sceces 3 Avlle ole www.rjs.co ISSN 5-838X / Vol 4 : 997-33 Scece Exlorer Plcos Derel Eqo o Eevles or Sr Lovlle Bodry Vle Prole w Ne Bodry Codos Al Kll Gold Dere o Mecs Azr

More information

Chapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)

Chapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1) Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were

More information

Calculation of Effective Resonance Integrals

Calculation of Effective Resonance Integrals Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro

More information

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele

More information

Review for the Midterm Exam.

Review for the Midterm Exam. Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme

More information

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

AC 2-3 AC 1-1 AC 1-2 CO2 AC 1-3 T CO2 CO2 F ES S I O N RY WO M No.

AC 2-3 AC 1-1 AC 1-2 CO2 AC 1-3 T CO2 CO2 F ES S I O N RY WO M No. SHEE OES. OVE PCE HOSS SSOCE PPUCES. VE EW CORO WR. S SE EEVO S EXS. 2. EW SSORS CCOS. S SE EEVO S HOSS. C 2-3 C - C -2 C 2- C -3 C 4- C 2-2 P SUB pproved Filename: :\\2669 RP Performing rts Center HVC\6-C\s\2669-3.dwg

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Ionization Energies in Si, Ge, GaAs

Ionization Energies in Si, Ge, GaAs Izt erges S, Ge, GAs xtrsc Semcuctrs A extrsc semcuctrs s efe s semcuctr whch ctrlle muts f secfc t r murty tms hve bee e s tht the thermlequlbrum electr hle ccetrt re fferet frm the trsc crrer ccetrt.

More information

ECE Microwave Engineering

ECE Microwave Engineering ECE 5317-6351 Mirowve Engineering Apte from notes Prof. Jeffer T. Willims Fll 18 Prof. Dvi R. Jkson Dept. of ECE Notes 1 Wveguiing Strutures Prt 5: Coil Cle 1 TEM Solution Proess A) Solve Lple s eqution

More information

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000 NU O HMB NRM UNVRY, HNOOGY, C 8 0 81, 8 3-1 01 CMBR, 0 1 1 l oll oll ov ll lvly lu ul uu oll ul. w o lo u uol u z. ul l u oll ul. quk, oll, vl l, lk lo, - ul o u v (G) v Gl o oll. ul l u vlu oll ul uj

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Example: Two Stochastic Process u~u[0,1]

Example: Two Stochastic Process u~u[0,1] Co o Slo o Coco S Sh EE I Gholo h@h. ll Sochc Slo Dc Slo l h PLL c Mo o coco w h o c o Ic o Co B P o Go E A o o Po o Th h h o q o ol o oc o lco q ccc lco l Bc El: Uo Dbo Ucol Sl Ab bo col l G col G col

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

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

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

More information

In order to ensure that an overall development in service by those. of total. rel:rtins lo the wapris are

In order to ensure that an overall development in service by those. of total. rel:rtins lo the wapris are AhAY ggkhu e evue he eve us wch my be eese s esu eucs ese mbes buges hve bee ke cvu vs. Css e vse e' he w m ceges cec ec css. Dec Dgqs_1q W qge5ee.pe_s_ v V cuss ke ecy 1 hc huse ees. bse cu wc esb shmes.

More information

Quantum Properties of Idealized GW Detector

Quantum Properties of Idealized GW Detector Qm Prors of Idlzd GW Dor Sg Pyo Km Ks N l Uvrsy Osk Uvrsy J 3 Th 4 h Kor-J Worksho o KAGRA Ol Idlzd Dor for Grvol Wvs Qm Thory for Dsso Wgr Fo of Tm-Dd Osllor Dmd Osllor Drv by Erl Fors Colso Idlzd Dor

More information

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct

More information

Xidian University Liu Congfeng Page 1 of 49

Xidian University Liu Congfeng Page 1 of 49 dom Sgl Processg Cher4 dom Processes Cher 4 dom Processes Coes 4 dom Processes... 4. Deo o dom Process... 4. Chrcerzo o dom Process...4 4.. ol Chrcerzo o dom Process...4 4.. Frs-Order Deses o dom Process...5

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

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

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

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

University of California at Berkeley College of Engineering Dept. of Electrical Engineering and Computer Sciences.

University of California at Berkeley College of Engineering Dept. of Electrical Engineering and Computer Sciences. Uversty of Clfor t Berkeley College of Egeerg et. of Electrcl Egeerg Comuter Sceces EE 5 Mterm I Srg 6 Prof. Mg C. u Feb. 3, 6 Gueles Close book otes. Oe-ge formto sheet llowe. There re some useful formuls

More information

SOME USEFUL MATHEMATICS

SOME USEFUL MATHEMATICS SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since

More information

". :'=: "t',.4 :; :::-':7'- --,r. "c:"" --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'.

. :'=: t',.4 :; :::-':7'- --,r. c: --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'. = 47 \ \ L 3L f \ / \ L \ \ j \ \ 6! \ j \ / w j / \ \ 4 / N L5 Dm94 O6zq 9 qmn j!!! j 3DLLE N f 3LLE Of ADL!N RALROAD ORAL OR AL AOAON N 5 5 D D 9 94 4 E ROL 2LL RLLAY RL AY 3 ER OLLL 832 876 8 76 L A

More information

700 STATEMENT OF ECONOMIC

700 STATEMENT OF ECONOMIC R RM EME EM ERE H E H E HE E HE Y ERK HE Y P PRE MM 8 PUB UME ER PE Pee e k. ek, ME ER ( ) R) e -. ffe, ge, u ge e ( ue ) -- - k, B, e e,, f be Yu P eu RE) / k U -. f fg f ue, be he. ( ue ) ge: P:. Ju

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25 Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

Topic 4 Fourier Series. Today

Topic 4 Fourier Series. Today Topic 4 Fourier Series Toy Wves with repetig uctios Sigl geertor Clssicl guitr Pio Ech istrumet is plyig sigle ote mile C 6Hz) st hrmoic hrmoic 3 r hrmoic 4 th hrmoic 6Hz 5Hz 783Hz 44Hz A sigle ote will

More information

KINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS

KINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS KINEMTICS OF RIGID ODIES RELTIVE VELOCITY RELTIVE CCELERTION PROLEMS 1. The crculr dsk rolls o he lef whou slppg. If.7 m s deerme he eloc d ccelero of he ceer O of he dsk. (516) .7 m s O? O? . The ed rollers

More information

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN)

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN) EE 537-635 Microwve Engineering Fll 7 Prof. Dvid R. Jcson Dep. of EE Noes Wveguides Pr 7: Trnsverse Equivlen Newor (N) Wveguide Trnsmission Line Model Our gol is o come up wih rnsmission line model for

More information

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s

More information

Chair Susan Pilkington called the meeting to order.

Chair Susan Pilkington called the meeting to order. PGE PRK D RECREO DVOR COMMEE REGUR MEEG MUE MOD, JU, Ru M h P P d R d Cmm hd : m Ju,, h Cu Chmb C H P, z Ch u P dd, Mmb B C, Gm Cu D W Bd mmb b: m D, d Md z ud mmb : C M, J C P Cmmu Dm D, Km Jh Pub W M,

More information

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

BEST PATTERN OF MULTIPLE LINEAR REGRESSION

BEST PATTERN OF MULTIPLE LINEAR REGRESSION ERI COADA GERMAY GEERAL M.R. SEFAIK AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMAIA SLOVAK REPUBLIC IERAIOAL COFERECE of SCIEIFIC PAPER AFASES Brov 6-8 M BES PAER OF MULIPLE LIEAR REGRESSIO Corel GABER PEROLEUM-GAS

More information

Clicks, concurrency and Khoisan

Clicks, concurrency and Khoisan Poooy 31 (2014). Sueey ei Cic, cocuecy Koi Jui Bie Uiveiy o Eiu Sueey ei Aeix: Tciio Ti Aeix y ou e coex ei ioy o oio ue o e ou o!xóõ i e iy ouce. 1 Iii o-cic Te o-cic iii e oy ii o oe ue, o ee i ie couio

More information

MTH 146 Class 7 Notes

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

More information

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 8. Waveguides Part 5: Coaxial Cable

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 8. Waveguides Part 5: Coaxial Cable ECE 5317-6351 Mirowve Engineering Fll 17 Prof. Dvid R. Jkson Dept. of ECE Notes 8 Wveguides Prt 5: Coil Cle 1 Coil Line: TEM Mode To find the TEM mode fields, we need to solve: ( ρφ) Φ, ; Φ ( ) V Φ ( )

More information

Copyright Birkin Cars (Pty) Ltd

Copyright Birkin Cars (Pty) Ltd WINDSREEN AND WIERS Aemble clue I u: - 7.1 7. 7.3 7. 7.5 K3601 15A K3601 1AA K3601 151AA K3601 18AA K360115AA K3601 08AA WINDSREEN WASHER WIER INKAGE ASSEMY WINDSREEN MOUNTING RAKETS WINDSREEN ASSEMY WIER

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Density estimation III.

Density estimation III. Lecure 6 esy esmao III. Mlos Hausrec mlos@cs..eu 539 Seo Square Oule Oule: esy esmao: Bomal srbuo Mulomal srbuo ormal srbuo Eoeal famly aa: esy esmao {.. } a vecor of arbue values Objecve: ry o esmae e

More information

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4 58487 Dt Compressio Tehiques (Sprig 0) Moel Solutios for Exerise 4 If you hve y fee or orretios, plese ott jro.lo t s.helsii.fi.. Prolem: Let T = Σ = {,,, }. Eoe T usig ptive Huffm oig. Solutio: R 4 U

More information

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl

More information

Some Unbiased Classes of Estimators of Finite Population Mean

Some Unbiased Classes of Estimators of Finite Population Mean Itertol Jourl O Mtemtcs Ad ttstcs Iveto (IJMI) E-IN: 3 4767 P-IN: 3-4759 Www.Ijms.Org Volume Issue 09 etember. 04 PP-3-37 ome Ubsed lsses o Estmtors o Fte Poulto Me Prvee Kumr Msr d s Bus. Dertmet o ttstcs,

More information

EQUATION SHEETS FOR ELEC

EQUATION SHEETS FOR ELEC QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s

More information

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES Mthemtics SKE: STRN J STRN J: TRNSFORMTIONS, VETORS nd MTRIES J3 Vectors Text ontents Section J3.1 Vectors nd Sclrs * J3. Vectors nd Geometry Mthemtics SKE: STRN J J3 Vectors J3.1 Vectors nd Sclrs Vectors

More information

Supplement: Gauss-Jordan Reduction

Supplement: Gauss-Jordan Reduction Suppleme: Guss-Jord Reducio. Coefficie mri d ugmeed mri: The coefficie mri derived from sysem of lier equios m m m m is m m m A O d he ugmeed mri derived from he ove sysem of lier equios is [ ] m m m m

More information

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.

More information

Chapter 8: Propagating Quantum States of Radiation

Chapter 8: Propagating Quantum States of Radiation Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T.

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T. Che 5. Dieeil Geome o Sces 5. Sce i meic om I 3D sce c be eeseed b. Elici om z =. Imlici om z = 3. Veco om = o moe geel =z deedig o wo mees. Emle. he shee o dis hs he geoghicl om =coscoscossisi Emle. he

More information

The Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces

The Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces Advces Pure Mhemcs 3 3 45-49 h://dxdoorg/436/m3346 Pulshed Ole July 3 (h://wwwscrorg/ourl/m) he Producs of Regulrly Solvle Oerors wh her Secr Drec Sum Sces Sohy El-Syed Irhm Derme of Mhemcs Fculy of Scece

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS

More information

Density estimation II

Density estimation II CS 750 Mche Lerg Lecture 6 esty estmto II Mlos Husrecht mlos@tt.edu 539 Seott Squre t: esty estmto {.. } vector of ttrute vlues Ojectve: estmte the model of the uderlyg rolty dstruto over vrles X X usg

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

Fresnel Equations cont.

Fresnel Equations cont. Lecure 12 Chaper 4 Fresel quaos co. Toal eral refleco ad evaesce waves Opcal properes of meals Laer: Famlar aspecs of he eraco of lgh ad maer Fresel quaos r 2 Usg Sell s law, we ca re-wre: r s s r a a

More information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

Conservation Laws and Poynting

Conservation Laws and Poynting Chpter 11 Conservtion Lws n Poynting Vector In electrosttics n mgnetosttics one ssocites n energy ensity to the presence of the fiels U = 1 2 E2 + 1 2 B2 = (electric n mgnetic energy)/volume (11.1) In

More information

CLASS XII PHYSICS. (a) 30 cm, 60 cm (b) 20 cm, 30 cm (c) 15 cm, 20 cm (d) 12 cm, 15 cm. where

CLASS XII PHYSICS. (a) 30 cm, 60 cm (b) 20 cm, 30 cm (c) 15 cm, 20 cm (d) 12 cm, 15 cm. where PHYSICS combintion o two thin lenses with ocl lengths n respectively orms n imge o istnt object t istnce cm when lenses re in contct. The position o this imge shits by cm towrs the combintion when two

More information