Complex Variable Method and Applications in Potential Flows
|
|
- Elijah Shields
- 5 years ago
- Views:
Transcription
1 HAPTER 6 hpt 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ompl l Mthod nd Applctons n Potntl lows o ctn tp o low t s possl to ntodc compl ls to d n th solton o th low polm. ompl l cn onl sd th ottonl low tht s two-dmnsonl nd pssl n tsn coodnt sstm o pol coodnt sstm.. th low mst sts oth φ nd ψ. o no oth coodnt sstm cn compl l sd. 6. Nomnclt nd Alg o ompl ls Etnd th l nm sstm ncldng thn w consd nms o th om psnt ponts on th - pln. cos sn Ag tn / R Rl pt Im Imgn pt Imgn s Th compl nm cn lso psntd s cto n pln n odd p o l nms. Rl s
2 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ompl conjgt: onjgt s dnd s Ag Ag s th lcton o th pont n th l s. R Im - - Th compl l cn lso pssd n pol coodnts n. Snc cos sn thn cos sn onsd: d cos sn sn cos d Ddd cos sn t two sd Thn: dcos sn cos sn dcos sn cos sn dcos sn cos sn sn cos d cos sn sn cos d cos sn sn cos d d cos sn sn cos d cos sn Intgtng oth sds lds to: dcos sn cos sn d ln cos sn cos sn Tho cos sn - 7 -
3 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Usng th ponntl om w s tht th podct o two compl nms nd s gn Ag I thn I... cos sn cos sn. In gnl om nown s D Mo s thom: cos sn n cos n sn n Sml ltons cn wttn o n compl pln. Empl: o th ς - pln ζ Rcos φ snφ R ζ R ; φ tn / φ - 8 -
4 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6. Anltc ompl nctons I s compl ncton n th -pln w dn dt o compl ncton lm z o ll possl. Tht s snc o th dt shold n nd th lmt mst st ndpndnt o how. A compl nctons tht dntl clld nltc nctons. o th ponts n th compl domn o -pln wh th s nltcl clld gl ponts o th ncton. o th ponts n th compl domn wh th ncton s not nltcl clld sngl ponts o th ncton. Th ls o l ncton o on l clcls cn gnll ppld to nltc nctons. d d g d dg d d g d d g g g d d g g g g o g W dg d dw d d d.. n nltcl ncton o n nltc ncton s nltc
5 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ch- Rmnn ondtons 6.3. ch- Rmnn ondtons n tsn oodnt Sstm onsd: I sts thn th som condtons tht nd mst sts: z lm onsd th pth long nd long gn. o th pth z z lm lm lm Tho lm lm lm o th pth z z s lm lm lm
6 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS lm lm lm Snc shold th sm n oth pths tho Sch condtons o n nltc ncton clld ch- Rmnn ondtons.
7 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ch- Rmnn ondtons n Pol oodnt W consd compl nltc ncton n pol coodnt sstm s : I sts thn th som condtons tht nd mst sts: z lm onsd th pth long nd long gn. o th pth z z lm lm lm Tho lm lm lm o th pth z z lm lm lm Tho d
8 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS lm lm lm shold th sm n oth pths tho Sch condtons o n nltc ncton clld ch- Rmnn ondtons n pol coodnt sstm.
9 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Scnt ondtons o ompl ncton to Anltc onsd: nd d d d d d d d d d d om nd w cn gt nd clld conjgtd ncton. ch Rmnn condtons pod th ncss condton o nltc. W to ontnt o th st od dt tms sch s condtons o to nltc. pods th scnt Ths stss ch Rmnn condtons nd h contnos st od dts thn s n nltc ncton nd cn pssd s
10 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Som Popts o Anltc nctons o compl ncton wh Accodng to ch Rmnn condtons s nltc thn nd onsl ncton stss ch Rmnn condtons thn cn wttn s ncton o onl. Som popts o nltc nctons: Lt compl poston l ncton ς s nltc ncton nd ς compl Thn:. ς s ncton o.. ς ς. ς hs dnt l o l o... ς s n. dς 3. dz dς 4. t pont n th pscd domn s ndpndnt o th pth sd to ch th dz pont wh th dt s ng ltd. 5. ς ς z t stss ch Rmnn condtons: ; Thn
11 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Tho Smll.. oth th l nd mgn pts o n nltc ncton sts Lplc ton. Th oth conjgt hmonc ncton. 6. onsd two mls o cs gn const nd const wh nd th l nd mgn pts o n nltc ncton. I w consd two dcton on tngntl to c long nd th oth noml to t n som nnown dcton thn n n t n n t ˆ ˆ ˆ Gdnt o const c s noml to th c! Snc: j ˆ ˆ j ˆ ˆ ˆ ˆ ˆ ˆ j j Tho const nd const othogonl
12 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.4 ompl Potntl nd ompl loct ompl potntl Accodng to th contnt ton o dl low o ottonl lows o -D ncompssl low th stm ncton ψ dtmnd ψ ψ ; nd I th -D ncompssl low s ottonl potntl ncton φ wll t: φ Tho: φ φ φ ψ φ ψ Whn ψ nd φ ltd th o ltons t s possl to om compl ncton s ln comnton o ψ nd φ nd cll t W th compl potntl: φ ψ o φ ψ How snc ψ nd φ sts th ch Rmnn condtons tho w cn psnt s wh Th o concpt s ld o n two l ls nd sml to ψ nd φ. Assm nd ς And nd sts ch Rmnn condtons thn ς cn psntd s ς wh
13 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ompl loct I φ ψ d. o th pth nd long d tho d d d d Along pth d d d d φ ψ d. Pth nd long d tho d d d d Along pth d d d φ ψ d d d / d.. W s compl potntl s clld compl loct. d d cos cos sn cos sn cos sn cos sn cos cos sn sn sn cos sn d sn sn sn sn cos sn cos cos cos cos sn cos sn cos.. compl loct d d n pol coodnt sstm
14 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.5 Unom lows 6.5. Unom low to th Rght o -D ncompssl low wth th loct dstton s gn : ; Is th low phscll possl? Th contnt o ncompssl low s Tho th low s phscll possl. Th stm ncton ψ cn dtmnd ψ ψ ; ψ ψ ψ ψ Tho ψ ψ d d onst Is th low s ottonl? ˆ ˆj ˆ z Tho th low s ottonl. Snc th low s ottonl potntl ncton φ wll t: φ φ φ φ φ d osnt d Tho φ W φ ψ In tsn sstm W In pol sstm W
15 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.5. Unom low t n Angl o Attc o α Snc W dn Y Y Th compl ncton wll Snc cosα snα snα cosα cosα snα snα cosα α X X Thn th potntl compl wll cosα snα snα cosα cosα snα snα cosα cosα snα Tho cosα snα α snα cosα cosα snα snα cosα In tsn coodnt sstm In pol coodnt sstm α α - 4 -
16 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.6 -D Soc nd Sn D Soc Dnton: A -D soc s dnd s nnt ln om whch low sss long dl lns. To clclt th olm low t om th soc Thn th loct ld wll : Is th low phscll possl? Th contnt o dl low s z X Y Tho th low s phscll possl. To dtmn stm nctonψ. ψ ψ ψ d d Ths ψ const const Lt s ssm ψ whn const Tho ψ o sn low ψ - 4 -
17 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Is th low ottonl? ˆ ˆ ˆ z z Tho th low s ottonl. Snc th low s ottonl potntl ncton φ wll t: To dtmn potntl nctonφ Ths φ φ φ ln d d φ ln const osnt Lt s ssm φ whn const ln Tho φ ln o sn low φ ln Tho o soc low th compl potntl wll : φ ψ ln ln ln ln.. ln o sn low: ln To dtmn th loct ld om th potntl compl o soc low - 4 -
18 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS d d dln d To dtmn th potntl compl ncton ntgtng th loct ld In pol coodnt sstm: d d. Intgtng th o ton w cn h ln const W ssm R ln const ln const const ln whn tho Ths ln
19 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.6. A Soc t - Pls Sn t Wthot constnt tm th psson o soc low wll ln o soc sttd t poston n th compl pln th psson wll ln P o soc t - nd sn t soc ln sn ln comnd soc sn ln ln ln ln ln X To dtmn th gomt o th stmlns o soc sn comnd low th ψ nd φ gn th psson o ψ nd ψ ψ comnd ψ ψ tn o tn
20 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS tn o tn Thn tn tn tn tn tn Tho tn Thn tn comnd ψ I tn tn tn c c c c c c c c ψ ψ Th ccls wth cnt t c nd ds o c R.. th ccls on Y s. To dtmn th gomt o th so-potntl lns Epotnt lns: Snc ln ln ln φ φ φ Snc nd Tho / ln 4 ln ln φ
21 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS o const φ lns 4 4 φ 4 Tho th const φ lns ccls wth cnt t nd ds o 4 R.. th ccls on X s cpt.
22 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS D Dolt Dnton: A dol s otnd whn soc nd sn o l stngth ppoch ch oth so tht th podc o th stngth nd th dstnc pt mns constnt... const soc comnd ln 4 ln 4 ln ln sn Usng L Hoptl s ols Whn d d d d 4 lm 4 lm ln 4 lm ln 4 lm Tho o -D dolt sn cos comnd.. ψ φ sn cos
23 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.8 -D ot Dnton: A -D ot s mthmtcl concpt tht ndcd loct ld gn : ; ; Is th low ld phscl possl? Th contnt o dl low s z Tho th low s phscll possl. To dtmn th stm nctonψ. ψ ψ ln ψ d onst d Ths ψ ln const Whn ssm ψ whn thn ln const Tho th stm ncton wll ψ ln ln o ψ ln Is th low ottonl? ˆ ˆ ˆ z z Tho th low s ottonl. Snc th low s ottonl potntl ncton φ wll t:
24 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS φ φ φ d osnt d Y Ths φ const Lt s ssm φ whn const Thn φ X I s dnd s th cclton o ccl cont-clocws sondng th -D ot Thn c dl c ˆ ˆ d Is th Stos thom stll pplcl? Thn ot t! Tho: ψ ln ; φ o -D ot low: φ ψ ln ln ln { ln ln ln ln ln.. ln Th snglt o ths psson s loctd t. Th potntl compl o post ot loctd t wll ln I th ot s ott n clocws thn th potntl compl wll : ln ln ln }
25 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS D low ond cl lnd low ond ccl clnd cn dcomposd s nom low pls dolt low. o nom low to th ght o dol low st t Th potntl compl o th comnd low wll sn cos sn cos sn cos sn cos sn cos Tho: sn cos ψ φ Thn loct ld wll sn cos cos cos 3 φ φ To dtmn th stgnton ponts: At stgnton pont nd o sn sn Whn cos Whn
26 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS cos I w dn Th two stgnton ponts wth coodnts o ng nd To dtmn th gomt o th stmln pssng th stgnton ponts: Th stmln pssng th stgnton pont wll sn stgn ψ Thn th ton o th sold od wll A cl wth ds R sn sn s X Tho th low ld s to th low ond clnd. To smmz th low ond ccl clnd: W sn cos ψ φ sn cos To lton o th low loct ld om th potntl compl Snc d d sn cos sn cos sn cos
27 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Tho sn cos Pss cocnt dstton on th sc o th ccl clnd Snc P P p At th sc o th clnd sn Accodng to Bnoll s ton P P P P Pss cocnt dstton on th sc o th ccl clnd wll : 4sn sn P P p Angl Dg. p
28 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS low ond Spnnng lnd low ond spnnng clnd cn dcomposd s th comnton o nom low -D dolt nd ot low. Th potntl compl o nom low A dol low st t A -D ot n clocws ln 3 I w m Thn th potntl compl o th comnd low wll : ln ln 3 Whn w st thn th potntl compl wll o non-spnnng clnd. d d } } sn cos { } sn cos sn cos { ln Thn: cos sn
29 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS To dtmn th stgnton ponts: Snc nd t th stgnton pont cos o o ASE. I sn sn 4 I w gt o. Ths s th cs o non-spnnng clnd w stdd o. Y Snc > 4 thn s hs to n th 3 d nd 4 th dnt. Snc sn Thn th spnnng loct o th clnd cn not too hgh n od to nd stgnton pont n th sc o th clnd. Whn th stgnton ponts on th sc o th clnd X Y s X sn 4 s ± Y s Th solton s ld onl whn o 4. Whn > 4 th 4 stgnton pont wll not on th sc o th spnng clnd n mo
30 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ASE I < Tho s mpossl ASE 3 I 4 4 ± In od to m th solton phscll possl t hs to > 4.. > 4. X Y
31 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ch Intgl Thom onsd th compl ncton ς not ncssl nltc dnd n ctn gon n th -pln. Th ln ntgl o ς om to long ln s d ς. Th l o ths ntgl n gnl dpndnt on th pth nd th nd ponts nd. Snc d d d Thn } { } { } { d d d d d d d ς W ntstd onl n compl ntgls whos ls dpnd onl on th nd ponts nd not on th pth tht jonts thm. o ths to t th ntgnd o th ntgl on th ght hnd sd o th o ton mst n ct dntl. } { } { d d d d Sppos th o psson cn wttn s d d λ β B compson w cn wt ths s: d d d d d β β β d d d d d λ λ λ X Y
32 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS.. β λ λ β B dnttng nd tng w gt: nd whch th ch- Rmnn condtons. In oth wods th compl ncton ς shold nltcl o th compl ntgl to ndpndnt o th pth. ch ntgl thom I ς s nltc n smpl conncts gon thn ς wll th ncton o onl.. ς ς nd th ntgl ς d s ncton o th nd ponts onl... ς d d Thn o closd c ς d. Th sttmnt s t whn th no ponts o nclosd c wh dς d To consd th cs whn sngl pont s nclosd n th nclosd c Th post sns o ntgton s tht whch th gon nclosd c s to th lt. dς onsd gon wh ς s nltc t pont cpt wh d th sngl pont. o n closd c not nclosng ς d. z.. s I th closd c ncloss th sngl pont w nclosd ths pont n closd c nd ocs o ttnton on th nltc gon twn nd
33 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS W nd ths gon nto closd gon ondd contnos c ntodcng th ct thn w ppl th ch ntgl thom pomng th ln ntgl long th ond n postl sns lws png th nclos gon to th lt. ς d M ς d ς d ς d ς d ς d M In lmtng sns: ς d ς d nd thn Sngl pont t Also M d ς d ς ς d nd M ς d ς d M Tho ς d ς d.. ll th ln ntgls o ll closd ccts nclosng th sngl pont l. I c ncloss n sngl ponts Sngl pont t 3 3 Thn ς d ς d ς d K ς d n M
34 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Intgl o compl ncton o ς n onsd compl ncton n ς n ± ± L Dς d n o n< n Dς d n n n n Tho s sngl pont. Whn n> Dς d n n s gl pont. I w consd closd c n th om o ccl.. R n d cl R R cl R n n R n n n n d n R d n cl R R o n R cl R n d n R d n n n n n n n R n R o n d cos n sn n n n n Whn n d d R R d As dscd o o n closd c nclosng th sm sngl pont th ln ntgl wll th sm. Tho o n closd c d In smm: Gn n ς n ± ± n d whn whn L n n o s not nclosng nd s nclosng
35 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6. Blss Intgl Lw W cn clclt oc ctng on sold od lcd n ld low n ltng loct componnt on th sc o th od nd thn ntgtng pss sng th Bnoll ton. Tho th dclt to clclt odnmc ocs s to condct th od shp ntgton. Blss ntgl lw stts tht th compl potntl s nown o low ond od thn t s possl to lt th ocs nd th tnng momnt ctng on th od mns o smpl conto ntgls. oc on od: Lt th compl potntl dscng th low ot -D od whos ond n th -pln s closd c. Thn th componnt o th nt oc on th od otnd om X Y d d d Wh dnots p nt noml to -D pln. d P ds d P ds sn β d P ds cos β d P sn β ds P cos β ds Psn β ds P cos β ds Pds sn β cos β Pds β Y ds β X Snc d d d ds cos β ds sn β ds β Tho d P d om Bnoll s ton P const P const Thn d const d - 6 -
36 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Intgtng d ond th od th closd c d const d const d d d β cos sn d ds β β ds Tho cos sn β β ds Thn th conjgt o s gn cos β sn β ds cos β sn β ds β ds On th od- stmln th loct s gn d W wh cos β ; sn β d Thn d d Tho cos β sn β β β β ds β cos β β ds β sn β ds β d d ds β ds d d d Momnt: locws momnts post stllng dw M R d d Assm post ocs thn dm d d d P ds sn β d P ds cos β - 6 -
37 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS cos sn d d const d d P P ds P ds d d dm β β R R R R sn cos R cos sn d dz d ds ds ds ds ds ds d d d const d d d d const d d const dm M β β β β β β β β β oc nd Momnt on spnnng ccl clnd o spnnng clnd th potntl compl ncton s ln Tho d d Snc d d d d d d d d d d d d d d d * Tho:
38 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS } 4 R{ } 4 R{ } R{ } 4 R{ 4 R{ } R{ } R{ } 4 R{ } R{ } R{ } R{ } R{ R R 3 3 d d d d d d d d d d d d d d dz d M Tho: M
39 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.3 onoml Tnsomton o th cs nd n th -pln tnsom to c ς nd ς n th ς -pln conoml tnsomton s dnd s sch tht: Two ln lmnts nd cd n th -pln ntsctng t ngl β pods ln sgmnts AB nd D n th ς -pln ntsctng t th sm ngl β wth th sm sns nd hng th sm to o lngth s th ognl lmnts:. ngl β n -pln β n ς -pln β d B β. cd AB D D o ctn pont o th c tnsomton: A -pln ζ-pln Gn th nltc dς dς mppng ς ponts n th ognl compl -pln wh o gl d d ponts on th -pln. dς Ponts n th ognl compl -pln wh ctcl ponts on th -pln. d dς Th ponts n th ognl compl -pln wh sngl ponts on th -pln. d ς Anltc ncton dς Nt o ponts n - d pln nd Rgl ponts tnsomton onoml tnsomton Anltc ncton tcl ponts Not conoml tnsomton Anltc ncton Sngl ponts Not conoml tnsomton At ctcl pont th tnsomton hs popt o mltplng ngl n wh n s th n d ς oth o th dt n whch st com non-zo t th ctcl pont. d
40 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS I tnsomton s conoml tnsomton t hs ollowng popts:.lplc ton s nnt... Lplc ton n th -pln wll tnsomd nto Lplc s ton n ς -pln podd ths two plns ltd conoml tnsomton. o mpl: Lt ς ς conoml tnsomton. Both φ nd ψ solton o Lplc ton n -pln. ψ ψ φ φ Tho: nd Snc s nnt nd conoml tnsomton ψ ψ φ φ Tho: nd In oth wods compl potntl n th -pln s lso ld compl n th ς -pln nd c s.. loct ld onsd th compl potntl ς φ ψ d d dς dς W Wˆ ς d dς d d 3. Th stngths o th cclton nd soc nnt o conoml tnsomton s th nt stngth o ll otcs nsd th contos. s th nt stngth o ll soc nd sns nsd th contos. ˆ nds ˆ j ˆ ˆ nds ˆ j ˆ dˆ dj ˆ d d ˆ ds d d n Y d ds -pln ê n ds d d d X
41 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS ˆ tds d d W d d d d d d d Now consd tnsomng nto ς nd dw dw dς dς W Wˆ ς d dς d d Thn W d W ς d W ς dς ˆ dς d ˆ How to s conoml tnsomton to sol polms o odnmcs. Pos polm n -pln wth compl od gomt sch s ol.. Mp od to smpl od n ς -pln sch s ccl clnd 3. nd solton to th Lplc ton n ς -pln... nd ς n th ς -pln sch tht ς sts oth ond condtons t nnt tnsomd om -pln. Lt Im ς s constnt long th sc 4. Tnsom th solton c to -pln... Knowng th tnsomton ς ς nd ς φ ψ. Tnsom ς sts ς ς n ς. Empl: ς -pln s th low ond ccl clnd o ds spnnng wth cclton cold com low ond n ol thogh conoml tnsomton. ln
42 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS 6.4 Joows Tnsomton nd Joows Aol Th tnsomton ncton o Joows tnsomton s ς ς wh s l. o lg ls o w wll h ς whn. In oth wods om th ogn th mppng s dntcl nd th compl loct s th sm n oth th plns om th ogn. Tho nom low o ctn mgntd s ppochng od n th -pln t sm ngl o ttc nom low o th sm mgntd nd ngl o ttc wll ppochng th cospondng od n ς - pln. nd th sngl nd ctc ponts o th Joows tnsomton: dς d Sngl pont t s sll wthn od dς d tcl pont t ± Snc ± nd o I w s tsn n ς -pln nd pol n -pln ς Thn: cos sn cos sn cos sn cos sn
43 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS s. o ccl loctd n th ogn wth ds n -pln Wht t wll n ς -pln thogh th Joows tnsomton? Whn cos Whn } Whn }
44 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS s o ccl loctd n th ogn wth ds > n -pln Wht t wll n ς -pln thogh th Joows tnsomton? wh >. Snc ς ς cos sn cos cos sn sn Snc cos sn It s th ton o n llps wth mjo s nd sm-mno s o. - -pln ζ-pln
45 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS s 3. Joows Aols om nd odnmcs pont o w th most ntstng pplcton o th Joows tnsom s to n ost ccl. I w consd ccl slghtl ost om th ogn long th ngt l s on otns smmtc Joows ol. z pln ς z z ζ-pln. - Th ton o th ost ccl s z - wh th constnt s smll nm. I th clnd s dsplcd slghtl long th compl s s wll on otns cmd ol shp. A β z pln ζ-pln ς z z B A B - H th ponts A nd B th ntcpts o th dsplcd ccl on th l s nd th cospondng ponts n th tnsomd pln. Th ngl β s th ngl omd th ln jonng th pont A o B nd th ogn wth th l s. I ltng low ot th ognl ccl hd n mposd th Joows tnsomton wold h gntd ltng low ot th Joows ol; z pln ς z z ς- pln - 7 -
46 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Althogh sch low s mthmtcll possl n lt t m not lstc. Th stgnton ponts on th clnd mp to stgnton ponts tht not lws lstc. o nstnc th stgnton pont on th top sc o th ol cnnot st s std lght snc th loct wold tnd to nnt s on mos clos to th tlng dg. Th onl mns o mng lstc low s to mpos th Ktt condton wh th stgnton pont s ocd to st t th tlng dg ths mng th stmlns low smoothl om ths pont. Ths s don djstng th l o otct stngth sch tht th stgnton ponts on th clnd sd t th clnd s ntcpts o th l s. In ths cs whn th clnd s tnsomd on stgnton pont wll ocd to th tlng dg. z pln ς z z ζ - pln Th lt oc gntd th ltng low o th clnd s popotonl to th cclton ot th clnd mposd th ddd ot low ccodng to th Ktt-Joows lton L. Th ltng oc on th sltng Joows ol s not cl. To lt th lt th cclton s ndd nd tho th loct ld. Th loct lds n ch pln cn ltd to ch oth thogh th chn l o dntton. I th ltng low ot th clnd s dnd s ncton wh z n th z- pln nd ζ n th ζ -pln th locts n ch pln ; ς ˆ W W ς z ς B chn l: ς ς z ς W W ς Usng th Joows tnsomton; ς ll th loct ld clos to th clnd nd ts tnsomd contpt dssml s on wold pct. How th w om ths ojcts th loct lds com dntcl s th mgntd o z coms lg thn th constnt l o. Snc th - 7 -
47 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS cclton cn clcltd ot n closd pth ncldng pths om th ojct sc th ccltons mst th sm n oth plns. clnd Joows ot stngth Th ppopt ot stngth to mpos th Ktt condton mst dtmnd. onsd th ltng low ot clnd. Th loct n th dcton s sn R H R s th ds o th clnd sc. Ths loct s zo on th sc o th clnd t th stgnton ponts. At th ponts o -β. z pln sn β R 4 R sn β I th ld s ottd α to smlt n ngl o ttc 4 sn β α R -β Snc th cod lngth o th Joows ol s 4 th lt cocnt cn wttn L 4 Rsn α β c 4 L Mng th ssmpton tht R L sn α β α β - 7 -
48 HAPTER 6 OMPLEX ARIABLE METHOD AND APPLIATIONS IN POTENTIAL LOWS Empl A Joows ol s omd dsplcng ccl o ds -.8 l s nd.5 mgn s. nd ot stngth α o nd m/s L t α o nd α o clnd β sn.5 O.87.5 β O tn stgnton pont.987 4sn Rsnαβ L sn L sn
A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.
Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts
More informationTheory of Spatial Problems
Chpt 7 ho of Sptil Polms 7. Diffntil tions of iliim (-D) Z Y X Inol si nknon stss componnts:. 7- 7. Stt of Stss t Point t n sfc ith otd noml N th sfc componnts ltd to (dtmind ) th 6 stss componnts X N
More informationPath (space curve) Osculating plane
Fo th cuilin motion of pticl in spc th fomuls did fo pln cuilin motion still lid. But th my b n infinit numb of nomls fo tngnt dwn to spc cu. Whn th t nd t ' unit ctos mod to sm oigin by kping thi ointtions
More information3. Anomalous magnetic moment
3. Anolos gntc ont 3.1 Mgntc ont of th lcton: Dc qton wth lcton colng to lcto-gntc t fld: D A A D ψ 0 cnoncl ont Anstz fo th solton s fo f tcl: t t Χ Φ Φ Χ 0 A 0 A Χ Φ 0 Χ Φ χ ϕ x x 4 Non-ltvstc lt: E,
More informationChapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures
Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.
More informationFundamentals of Continuum Mechanics. Seoul National University Graphics & Media Lab
Fndmntls of Contnm Mchncs Sol Ntonl Unvrsty Grphcs & Md Lb Th Rodmp of Contnm Mchncs Strss Trnsformton Strn Trnsformton Strss Tnsor Strn T + T ++ T Strss-Strn Rltonshp Strn Enrgy FEM Formlton Lt s Stdy
More informationCBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.
CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.
More informationBoyce/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 informationChapter I Vector Analysis
. Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw
More informationMinimum Spanning Trees
Mnmum Spnnng Trs Spnnng Tr A tr (.., connctd, cyclc grph) whch contns ll th vrtcs of th grph Mnmum Spnnng Tr Spnnng tr wth th mnmum sum of wghts 1 1 Spnnng forst If grph s not connctd, thn thr s spnnng
More information1 Vectors & Tensors tensor
Vctos & nsos h mthmtcl modln of th physcl wold qs nowld of qt fw dffnt mthmtcs sbcts sch s Clcls Dffntl Eqtons nd Ln lb. hs topcs slly ncontd n fndmntl mthmtcs coss. How n mo thooh nd n-dpth ttmnt of mchncs
More informationMath 656 March 10, 2011 Midterm Examination Solutions
Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationOrder Statistics from Exponentiated Gamma. Distribution and Associated Inference
It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd
More informationCoordinate Transformations
Coll of E Copt Scc Mchcl E Dptt Nots o E lss Rvs pl 6, Istcto: L Ctto Coot Tsfotos Itocto W wt to c ot o lss lttv coot ssts. Most stts hv lt wth pol sphcl coot ssts. I ths ots, w wt to t ths oto of fft
More informationUniform Circular Motion
Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The
More informationSelf-Adjusting Top Trees
Th Polm Sl-jsting Top Ts ynmi ts: ol: mintin n n-tx ost tht hngs o tim. link(,w): ts n g twn tis n w. t(,w): lts g (,w). pplition-spii t ssoit with gs n/o tis. ont xmpls: in minimm-wight g in th pth twn
More informationSAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.
LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL
More informationINTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)
Chptr 7 INTEGRALS 7. Ovrviw 7.. Lt d d F () f (). Thn, w writ f ( ) d F () + C. Ths intgrls r clld indfinit intgrls or gnrl intgrls, C is clld constnt of intgrtion. All ths intgrls diffr y constnt. 7..
More informationUnit_III Complex Numbers: Some Basic Results: 1. If z = x +iy is a complex number, then the complex number z = x iy is
Unt_III Comple Nmbes: In the sstem o eal nmbes R we can sole all qadatc eqatons o the om a b c, a, and the dscmnant b 4ac. When the dscmnant b 4ac
More informationADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:
R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí
More informationHandout 7. Properties of Bloch States and Electron Statistics in Energy Bands
Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst
More informationLecture 9-3/8/10-14 Spatial Description and Transformation
Letue 9-8- tl Deton nd nfomton Homewo No. Due 9. Fme ngement onl. Do not lulte...8..7.8 Otonl et edt hot oof tht = - Homewo No. egned due 9 tud eton.-.. olve oblem:.....7.8. ee lde 6 7. e Mtlb on. f oble.
More informationC-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0)
An ltntiv to th us of hypolic dclin cuvs Ppd y: Sfim Ltd S E R A F I M info@sfimltd.com P. +44 (02890 4206 www.sfimltd.com Contnts Contnts... i Intoduction... Initil ssumptions... Solving fo cumultiv...
More informationLoad Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.
oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt
More informationD. Bertsekas and R. Gallager, "Data networks." Q: What are the labels for the x-axis and y-axis of Fig. 4.2?
pd by J. Succ ECE 543 Octob 22 2002 Outl Slottd Aloh Dft Stblzd Slottd Aloh Uslottd Aloh Splttg Algoths Rfc D. Btsks d R. llg "Dt twoks." Rvw (Slottd Aloh): : Wht th lbls fo th x-xs d y-xs of Fg. 4.2?
More informationIFYFM002 Further Maths Appendix C Formula Booklet
Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,
More informationSection 5.1/5.2: Areas and Distances the Definite Integral
Scto./.: Ars d Dstcs th Dt Itgrl Sgm Notto Prctc HW rom Stwrt Ttook ot to hd p. #,, 9 p. 6 #,, 9- odd, - odd Th sum o trms,,, s wrtt s, whr th d o summto Empl : Fd th sum. Soluto: Th Dt Itgrl Suppos w
More information9.5 Complex variables
9.5 Cmpl varabls. Cnsdr th funtn u v f( ) whr ( ) ( ), f( ), fr ths funtn tw statmnts ar as fllws: Statmnt : f( ) satsf Cauh mann quatn at th rgn. Statmnt : f ( ) ds nt st Th rrt statmnt ar (A) nl (B)
More informationPreview. Graph. Graph. Graph. Graph Representation. Graph Representation 12/3/2018. Graph Graph Representation Graph Search Algorithms
/3/0 Prvw Grph Grph Rprsntton Grph Srch Algorthms Brdth Frst Srch Corrctnss of BFS Dpth Frst Srch Mnmum Spnnng Tr Kruskl s lgorthm Grph Drctd grph (or dgrph) G = (V, E) V: St of vrt (nod) E: St of dgs
More informationLimits Indeterminate Forms and L Hospital s Rule
Limits Indtrmint Forms nd L Hospitl s Rul I Indtrmint Form o th Tp W hv prviousl studid its with th indtrmint orm s shown in th ollowin mpls: Empl : Empl : tn [Not: W us th ivn it ] Empl : 8 h 8 [Not:
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More information( ) α is determined to be a solution of the one-dimensional minimization problem: = 2. min = 2
Homewo (Patal Solton) Posted on Mach, 999 MEAM 5 Deental Eqaton Methods n Mechancs. Sole the ollowng mat eqaton A b by () Steepest Descent Method and/o Pecondtoned SD Method Snce the coecent mat A s symmetc,
More informationConvergence Theorems for Two Iterative Methods. A stationary iterative method for solving the linear system: (1.1)
Conrgnc Thors for Two Itrt Mthods A sttonry trt thod for solng th lnr syst: Ax = b (.) ploys n trton trx B nd constnt ctor c so tht for gn strtng stt x of x for = 2... x Bx c + = +. (.2) For such n trton
More informationWinnie flies again. Winnie s Song. hat. A big tall hat Ten long toes A black magic wand A long red nose. nose. She s Winnie Winnie the Witch.
Wnn f gn ht Wnn Song A g t ht Tn ong to A k g wnd A ong d no. no Sh Wnn Wnn th Wth. y t d to A ong k t Bg gn y H go wth Wnn Whn h f. wnd ootk H Wu Wu th t. Ptu Dtony oo hopt oon okt hng gd ho y ktod nh
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More informationEngineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.
ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn
More informationLecture 35. Diffraction and Aperture Antennas
ctu 35 Dictin nd ptu ntnns In this lctu u will ln: Dictin f lctmgntic ditin Gin nd ditin pttn f ptu ntnns C 303 Fll 005 Fhn Rn Cnll Univsit Dictin nd ptu ntnns ptu ntnn usull fs t (mtllic) sht with hl
More informationTOPIC 5: INTEGRATION
TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function
More informationCIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7
CIVL / -D Boundr Vlu Prolms - Rctngulr Elmnts / RECANGULAR ELEMENS - In som pplictions, it m mor dsirl to us n lmntl rprsnttion of th domin tht hs four sids, ithr rctngulr or qudriltrl in shp. Considr
More information= x. ˆ, eˆ. , eˆ. 5. Curvilinear Coordinates. See figures 2.11 and Cylindrical. Spherical
Mathmatics Riw Polm Rholog 5. Cuilina Coodinats Clindical Sphical,,,,,, φ,, φ S figus 2. and 2.2 Ths coodinat sstms a otho-nomal, but th a not constant (th a with position). This causs som non-intuiti
More information(A) the function is an eigenfunction with eigenvalue Physical Chemistry (I) First Quiz
96- Physcl Chmstry (I) Frst Quz lctron rst mss m 9.9 - klogrm, Plnck constnt h 6.66-4 oul scon Sp of lght c. 8 m/s, lctron volt V.6-9 oul. Th functon F() C[cos()+sn()] s n gnfuncton of /. Th gnvlu s (A)
More informationChapter 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 informationSpanning Tree. Preview. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree. Minimum Spanning Tree 10/17/2017.
0//0 Prvw Spnnng Tr Spnnng Tr Mnmum Spnnng Tr Kruskl s Algorthm Prm s Algorthm Corrctnss of Kruskl s Algorthm A spnnng tr T of connctd, undrctd grph G s tr composd of ll th vrtcs nd som (or prhps ll) of
More informationLecture on Thursday, March 22, 2007 Instructor Dr. Marina Y. Koledintseva ELECTROMAGNETIC THEOREMS
Lctu on Thusdy, Mch, 7 Instucto D Mn Y Koldntsv ELECTROMAGNETIC THEOREM Intoducton Th fundntl thos of thtcl physcs ppld to clsscl lctognts pncpl of dulty; g pncpl; sufc uvlnc tho (Lov/chlkunoff s foulton);
More informationCh. 22: Classical Theory of Harmonic Crystal
C. : Clssl Toy o mo Cysl gl o ml moo o o os l s ld o ls o pl ollowg:. Eqlbm Pops p o ls d Islos Eqlbm sy d Cos Egs Tml Epso d lg. Tspo Pops T pd o lo Tm Fl o Wdm-Fz Lw pody Tml Cody o Islos Tsmsso o od.
More information5- Scattering Stationary States
Lctu 19 Pyscs Dpatmnt Yamou Unvsty 1163 Ibd Jodan Pys. 441: Nucla Pyscs 1 Pobablty Cunts D. Ndal Esadat ttp://ctaps.yu.du.jo/pyscs/couss/pys641/lc5-3 5- Scattng Statonay Stats Rfnc: Paagaps B and C Quantum
More informationExam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms
CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n
More informationAn action with positive kinetic energy term for general relativity. T. Mei
An ton wt post nt ny t fo n tty T (Dptnt of Jon Cnt Cn o Unsty Wn H PRO Pop s Rp of Cn E-: to@nn tow@pwn ) Astt: At fst w stt so sts n X: 7769 n tn sn post nt ny oont onton n y X: 7769 w psnt n ton wt
More informationGUC (Dr. Hany Hammad)
Lct # Pl s. Li bdsid s with ifm mplitd distibtis. Gl Csidtis Uifm Bimil Optimm (Dlph-Tchbshff) Cicl s. Pl s ssmig ifm mplitd citti m F m d cs z F d d M COMM Lct # Pl s ssmig ifm mplitd citti F m m m T
More informationE-Companion: Mathematical Proofs
E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth
More informationPart II, Measures Other Than Conversion I. Apr/ Spring 1
Pt II, Msus Oth hn onvsion I p/7 11 Sping 1 Pt II, Msus Oth hn onvsion II p/7 11 Sping . pplictions/exmpls of th RE lgoithm I Gs Phs Elmnty Rction dditionl Infomtion Only fd P = 8. tm = 5 K =. mol/dm 3
More informationTMMI37, vt2, Lecture 8; Introductory 2-dimensional elastostatics; cont.
Lctr 8; ntrodctor 2-dimnsional lastostatics; cont. (modifid 23--3) ntrodctor 2-dimnsional lastostatics; cont. W will now contin or std of 2-dim. lastostatics, and focs on a somwhat mor adancd lmnt thn
More informationExample: 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( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3
3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the
More informationStatic/Dynamic Deformation with Finite Element Method. Graphics & Media Lab Seoul National University
Statc/Dynamc Dormaton wth Fnt Elmnt Mthod Graphcs & Mda Lab Sol Natonal Unvrsty Statc/Dynamc Dormaton Statc dormaton Dynamc dormaton ndormd shap ntrnal + = nrta = trnal dormd shap statc qlbrm dynamc qlbrm
More informationMinimum Spanning Trees
Minimum Spnning Trs Minimum Spnning Trs Problm A town hs st of houss nd st of rods A rod conncts nd only houss A rod conncting houss u nd v hs rpir cost w(u, v) Gol: Rpir nough (nd no mor) rods such tht:
More informationStabilizing gain design for PFC (Predictive Functional Control) with estimated disturbance feed-forward
Stblzg g sg o PFC Pctv Fctol Cotol wth stt stbc -ow. Zbt R. Hb. och Dtt o Pocss Egg Plt Dsg Lboto o Pocss Atoto Colog Uvst o Al Scc D-5679 öl Btzo St. -l: hl.zbt@sl.h-ol. {obt.hb l.och}@ h-ol. Abstct:
More informationChapter 4 Circular and Curvilinear Motions
Chp 4 Cicul n Cuilin Moions H w consi picls moing no long sigh lin h cuilin moion. W fis su h cicul moion, spcil cs of cuilin moion. Anoh mpl w h l sui li is h pojcil..1 Cicul Moion Unifom Cicul Moion
More informationAsh Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-
sh Wdsdy 7 gn mult- tú- st Frst Intrt thng X-áud m. ns ní- m-sr-cór- Ps. -qu Ptr - m- Sál- vum m * usqu 1 d fc á-rum sp- m-sr-t- ó- num Gló- r- Fí- l- Sp-rí- : quó-n- m ntr-vé-runt á- n-mm c * m- quó-n-
More informationIntegration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals
Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion
More informationA simple 2-D interpolation model for analysis of nonlinear data
Vol No - p://oog//n Nl Sn A mpl -D npolon mol o nl o nonln M Zmn Dpmn o Cvl Engnng Fl o nolog n Engnng Yo Unv Yo In; m@ml Rv M ; v Apl ; p M ABSRAC o mnon volm n wg o nonnom o n o po vlon o mnng n o ng
More informationSHELL CANADA PIPING AND INSTRUMENT DIAGRAM UNIT REGENERATION/COMMON LEAN / RICH AMINE EXCHANGER QUEST CCS PROJECT QUEST CCS PROJECT CONSTRUCTION
). M 5 34 34..... / / / /......... / / / / / / / / / /. /.... 66...... / /... SSU T SPTON SHLL N NOTS: G Y K P S QUST S POJT M P PM LNT SL: NON NG N NSTUMNT GM QUST S POJT SHLL WG NO.:. 46...4.. 46. L:\\:\5\WNGS\O\46\46..pid
More informationHow to Use. The Bears Beat the Sharks!
Hw t U Th uc vd 24 -wd dng ctn bd n wht kd ncunt vy dy, uch mv tng, y, n Intnt ch cn. Ech ctn ccmnd by tw w-u ctc g ng tudnt cmhnn th ctn. Th dng ctn cn b ud wth ndvdu, m gu, th wh c. Th B cnd bmn, Dn
More informationVowel package manual
Vwl pckg mnl FUKUI R Grdt Schl f Hmnts nd Sclgy Unvrsty f Tky 28 ctbr 2001 1 Drwng vwl dgrms 1.1 Th vwl nvrnmnt Th gnrl frmt f th vwl nvrnmnt s s fllws. [ptn(,ptn,)] cmmnds fr npttng vwls ptns nd cmmnds
More informationME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören
ME 522 PINCIPLES OF OBOTICS FIST MIDTEM EXAMINATION April 9, 202 Nm Lst Nm M. Kml Özgörn 2 4 60 40 40 0 80 250 USEFUL FOMULAS cos( ) cos cos sin sin sin( ) sin cos cos sin sin y/ r, cos x/ r, r 0 tn 2(
More information8. INVERSE Z-TRANSFORM
8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere
More informationSolution of Tutorial 5 Drive dynamics & control
ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm
More informationL...,,...lllM" l)-""" Si_...,...
> 1 122005 14:8 S BF 0tt n FC DRE RE FOR C YER 2004 80?8 P01/ Rc t > uc s cttm tsus H D11) Rqc(tdk ;) wm1111t 4 (d m D m jud: US
More informationPHYS 2421 Fields and Waves
PHYS 242 Felds nd Wves Instucto: Joge A. López Offce: PSCI 29 A, Phone: 747-7528 Textook: Unvesty Physcs e, Young nd Feedmn 23. Electc potentl enegy 23.2 Electc potentl 23.3 Clcultng electc potentl 23.4
More informationCONIC SECTIONS. MODULE-IV Co-ordinate Geometry OBJECTIVES. Conic Sections
Conic Sctions 16 MODULE-IV Co-ordint CONIC SECTIONS Whil cutting crrot ou might hv noticd diffrnt shps shown th dgs of th cut. Anlticll ou m cut it in thr diffrnt ws, nml (i) (ii) (iii) Cut is prlll to
More informationVEKTORANALYS FLUX INTEGRAL LINE INTEGRAL. and. Kursvecka 2. Kapitel 4 5. Sidor 29 50
VEKTORANAYS Ksecka INE INTEGRA and UX INTEGRA Kaptel 4 5 Sdo 9 5 A wnd TARGET PROBEM We want to psh a mne cat along a path fom A to B. Bt the wnd s blowng. How mch enegy s needed? (.e. how mch s the wok?
More informationT 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 informationADAPTIVE MULTISCALE HOMOGENIZATION OF THE LATTICE DISCRETE PARTICLE MODEL FOR THE ANALYSIS OF DAMAGE AND FRACTURE IN CONCRETE
Ssl gg Gologl f ls (SG Dpm l ml gg om Shool gg ppld S s llo 6 US DT ULTSL HOOGZTO O TH LTT DSRT RTL ODL OR TH LYSS O DG D RTUR ORT Roozh Rzh w Zho Gl s SG TRL RORT o 7-/57 Smd l ol Solds Ss 7 dp ll Homogz
More informationP 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 informationThis Week. Computer Graphics. Introduction. Introduction. Graphics Maths by Example. Graphics Maths by Example
This Wk Computr Grphics Vctors nd Oprtions Vctor Arithmtic Gomtric Concpts Points, Lins nd Plns Eploiting Dot Products CSC 470 Computr Grphics 1 CSC 470 Computr Grphics 2 Introduction Introduction Wh do
More informationglo beau bid point full man branch last ior s all for ap Sav tree tree God length per down ev the fect your er Cm7 a a our
SING, MY TONGU, TH SAVIOR S GLORY mj7 Mlod Kbd fr nd S would tm flsh s D nd d tn s drw t crd S, Fth t So Th L lss m ful wn dd t, Fs4 F wd; v, snr, t; ngh, t: lod; t; tgu, now Chrst, h O d t bnd Sv God
More informationELEC 351 Notes Set #18
Assignmnt #8 Poblm 9. Poblm 9.7 Poblm 9. Poblm 9.3 Poblm 9.4 LC 35 Nots St #8 Antnns gin nd fficincy Antnns dipol ntnn Hlf wv dipol Fiis tnsmission qution Fiis tnsmission qution Do this ssignmnt by Novmb
More informationExecutive Committee and Officers ( )
Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r
More informationFINITE ELEMENT ANALYSIS OF
FINIT LMNT NLYSIS OF D MODL PROBLM WITH SINGL VRIBL Fnt lmnt modl dvlopmnt of lnr D modl dffrntl qton nvolvng sngl dpndnt nknown govrnng qtons F modl dvlopmnt wk form. JN Rddy Modlqn D - GOVRNING TION
More informationBoxing Blends Sub step 2.2 Focus: Beginning, Final, and Digraph Blends
Boxing Blends Sub step 2.2 Focus: Beginning, Final, and Digraph Blends Boxing Blends Game Instructions: (One Player) 1. Use the game board appropriate for your student. Cut out the boxes to where there
More informationModern Channel Coding
Modrn Chnnl Coding Ingmr Lnd & Joss Sir Lctr 4: EXIT Chrts ACoRN Smmr School 27 Itrti Dcoding How dos th mtl informtion ol in n itrti dcoding lgorithm? W h lrnd tht it is possibl to optimiz LDPC cods so
More informationSmart Motorways HADECS 3 and what it means for your drivers
Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd
More information( β ) touches the x-axis if = 1
Generl Certificte of Eduction (dv. Level) Emintion, ugust Comined Mthemtics I - Prt B Model nswers. () Let f k k, where k is rel constnt. i. Epress f in the form( ) Find the turning point of f without
More information² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia.
str Dy Ps. 138 R 7 r r x, t huc t m m, l : p - í pr m m num m, l l : VR M rá s f ct st sc n -, l l -. Rpt nphn s fr s VR ftr ch vrs Ps. 1. D n, pr bá m, t c g ví m : c g ví ss s nm m m, t r r r c nm m
More information1. Viscosities: μ = ρν. 2. Newton s viscosity law: 3. Infinitesimal surface force df. 4. Moment about the point o, dm
3- Fluid Mecnics Clss Emple 3: Newton s Viscosit Lw nd Se Stess 3- Fluid Mecnics Clss Emple 3: Newton s Viscosit Lw nd Se Stess Motition Gien elocit field o ppoimted elocit field, we wnt to be ble to estimte
More informationWeighted Graphs. Weighted graphs may be either directed or undirected.
1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur
More informationMassachusetts Institute of Technology Introduction to Plasma Physics
Massachustts Insttut of Tchnology Intoducton to Plasma Physcs NAME 6.65J,8.63J,.6J R. Pak Dcmb 5 Fnal Eam :3-4:3 PM NOTES: Th a 8 pags to th am, plus on fomula sht. Mak su that you copy s complt. Each
More informationMath 656 Midterm Examination March 27, 2015 Prof. Victor Matveev
Math 656 Mdtrm Examnatn March 7, 05 Prf. Vctr Matvv ) (4pts) Fnd all vals f n plar r artsan frm, and plt thm as pnts n th cmplx plan: (a) Snc n-th rt has xactly n vals, thr wll b xactly =6 vals, lyng n
More informationDegenerate Clifford Algebras and Their Reperesentations
BAÜ Fn Bl. Enst. Dgs t 8-8 Dgnt ffod Algbs nd Th Rsnttons Şny BULUT * Andolu Unvsty Fculty of Scnc Dtmnt of Mthmtcs Yunum Cmus Eskşh. Abstct In ths study w gv n mbddng thom fo dgnt ffod lgb nto nondgnt
More informationJones vector & matrices
Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o
More informationProvincial Agricultural Land Commission - Staff Report Application: 52701
Povncl gcltl nd ommon - tff pot pplcton: 52701 pplcnt: ocl Govnmnt: Popol: m & gdln Vndlnd ty of bbotfod pplcnt kng t ommon' ppovl to n xtng yloft fo vnt onc o twc wk, onlly. t t vnt t pplcnt pln to pomot
More informationThe z-transform. Dept. of Electronics Eng. -1- DH26029 Signals and Systems
0 Th -Trsform Dpt. of Elctroics Eg. -- DH609 Sigls d Systms 0. Th -Trsform Lplc trsform - for cotios tim sigl/systm -trsform - for discrt tim sigl/systm 0. Th -trsform For ipt y H H h with ω rl i.. DTFT
More informationVECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors
1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude
More informationThe Optimum Kinematic Design of a Spatial Nine-Degree-of-Freedom Parallel Manipulator
ptmm Knmt Dgn of Spt Nn-Dg-of-Fdom P Mnpto ANNIN GALF nd RSARI SINARA Dptmnto d Inggn Indt Mn Unvtà d Ctn V A. Do, 955 Ctn IALY Att: - pp ond t nmt optmton of p mnpto ttd n dndnt fom, ng nm ondtonng of
More informationChapter 3 Binary Image Analysis. Comunicação Visual Interactiva
Chapt 3 Bnay Iag Analyss Counação Vsual Intatva Most oon nghbohoods Pxls and Nghbohoods Nghbohood Vznhança N 4 Nghbohood N 8 Us of ass Exapl: ogn nput output CVI - Bnay Iag Analyss Exapl 0 0 0 0 0 output
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.
More informationABREVIATION BLK(24) BLU(24) BRN(24) GRN(24) GRN/YEL(24) GRY(24) ORG(24) RED(24) YEL(24) BLK
MGNTIC DOO INTLOCK / N/O 4677: INTLOCK 4676: KY STIK GY MGY ST COOLING FNS 85: VDC FN 60MM T: FN OINTTION SHOULD XTCT WM I FOM CS. V VITION (4) LU(4) N(4) (4) /(4) GY(4) OG(4) (4) (4) LU N / GY GY/ GY/
More informationOH 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 informationCOHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.
MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function
More information