Embedding the Natural Hedging of Mortality/Longevity Risks into Product Design

Size: px
Start display at page:

Download "Embedding the Natural Hedging of Mortality/Longevity Risks into Product Design"

Transcription

1 Embing h Nurl Hging of Morliy/Longviy Rik ino Prouc Dign Bcky Fngwn Hung Jon Chng-Hin Ti 1 Dprmn of Rik Mngmn n Inurnc Rik n Inurnc Rrch Cnr Collg of Commrc, Nionl Chngchi Univriy Tipi, Tiwn ABSTRACT How o mng morliy/longviy rik i nil o h long-rm olvncy of lif inurnc compni. Th lirur propo o hg h prouc ubjc o h longviy rik (uch nnuii) by uing h prouc ubjc o h morliy rik (.g., whol lif inurnc) ol by n inurr. Such nurl hging i inuiiv bu my b ifficul o implmn u o h rigi l mrk n incniv iu. W propo o mb nurl hging ino prouc ign o h h hging my occur wihin prouc. Th ky i o off h impc of morliy on h iming of h h in urn rmin h prn vlu of h h bnfi by clvrly choo h growh r of h h bnfi. how much o py whilδ woul rflc h im vlu of pymn. W provi horicl rivion, grphicl illurion, n numricl nly o illur h i of mbing nurl hging ino prouc ign. Kywor: longviy rik; morliy rik; nurl hging 1 Corrponing uhor: ci@nccu.u.w; l & f: Th uhor i grful o h Miniry of Scinc n Tchnology (projc numbr: H MY3) n h Rik n Inurnc Rrch Cnr for hir finncil uppor. 1

2 2

3 1. Inroucion Th rik mrging from h chng of morliy r i criicl problm o h inurnc provir. Whn quick pr of ly congiou i cu gr l of culy h morliy r woul incr n h morliy rik ri up. In gnrl iming, h morliy r i cring grully u o progriv micl chnology nowy. Th mk longviy rik ri up. Boh morliy rik n longviy rik r morliy r rik cu by h ynmic chng of morliy r. Whhr i i morliy rik or longviy rik, h miigion of morliy r rik h lo of icuion in lirur. Th longviy rik cch mor nion owing o i prin rn. A h cing living bcom norml c o vryon in h worl, i i volving ino ymic rik. On h ohr hn, h ynmic prn of morliy rik i focuing on un morliy r hock. Tho rik r no only rik o h prouc provir bu lo coly problm o conomic ociy. Th chniqu of rik miigion in boh rik i n imporn iu o rik mngmn. Coniring how o miig morliy r rik, mny ui r wih h longviy rik. Trnfrring longviy rik rnlly wih h finncil vhicl of cpil mrk i h rli uggion in lirur o olv h problm. Blk n Burrow (2001) propo oluion ccoringly hrough cpil mrk by iuing urvivor bon o miig h longviy rik po o living bnfi provir. Ohr prior ui lo provi miigion oluion hrough cpil mrk, incluing urvivor bon (Dnui, Dvolr, n Gorniu, 2007), urvivor wp (.g. Dow n Blk, 2006; Dow, Blk, Cirn, n Dwon, 2006), morliy wp (Lin n Co, 2007), morliy curiizion (.g. Dow, 2003; Lin n Co, 2005; Cirn, Blk, n Dow, 2006; Blk, Cirn, n Dow, 2006; Co, Lin, n Wng, 2006; Blk, Cirn, n Dow, 2006; Blk, Cirn, Dow, n McMinn, 2006). Th ui ugg miiging longviy rik by rnfrring h rik o h invor of cpil mrk. Trnfrring h rik rnlly my b poibl wy bu my no iminih h primry rik roo in h policy. Th mho r lo involv wih uncriny in mrk nvironmn n rncion co o h provir. 3

4 Nurl hging rgy i n lrniv. In of rnfrring rik oui h iniiiv rik bring compny, om ui k p o llvi rik by wy of innr miigion wihin h compny. Nurl hging rgy mk rik miigion cu in h inurnc compny inrnlly. A whol lif inurnc prouc i po o morliy rik n n nnuiy prouc i po o longviy rik. Compni cn k vng o iminih h hr of morliy r rik hrough lling lif inurnc prouc n nnuiy prouc imulnouly. Th min rm of h nurl hging rgy in ui i o opimiz h proporion of prouc porfolio h hlp mimiz h hging ffc. Co n Lin (2007) cr prouc porfolio wih lif inurnc prouc n n nnuiy prouc h how h inc of nurl hging ffc bwn lif inurnc prouc n nnuiy prouc. Wng l. (2010) oon propo n immunizion mol o chiv n opiml lif inurnc o nnuiy rio in miiging longviy rik. Thy vlu h hging ffc o h rrv of prouc porfolio n uiliz mching of urion n convii o gnr h opiml rio of lif inurnc o nnuiy prouc by h impc of morliy r chng. In mo rcn ui Ti n Chung (2013) n, Lin n Ti (2013) op h urion/conviy mching o h pric of lif inurnc n nnuiy prouc n n h pplicion in rmining h wigh of wo or hr prouc in prouc porfolio h cn obin h mimum ffc of miigion. Bi morliy urion/conviy chniqu in rmining opiml nurl hging rgy, Ti, Wng, n Tzng (2010) lo k h vrinc of prouc porfolio ino conirion n gnr nrrowr qunil of lo iribuion compr o immunizion mol (Wng, Hung, n Hong, 2013). Furhrmor, Wng, Hung, n Hong (2013) mploy porfolio of zro coupon bon, lif inurnc polici, n nnuiy polici o conruc fibl objciv funcion h mk poibl o cch h mipricing ffc n h vrinc ffc of h nir compny porfolio. Thy lo r nurl hging rgy prciclly. W fin wy of nurl hging rgy wihin policy h w cn immuniz/miig h morliy r rik hrough lic prouc ign. W r bl 4

5 o opimiz h rik miigion in imply h bnfi procion prouc n hv no o buil up wigh porfolio of lif inurnc n nnuiy. Evry inurnc clim conin l wo ky fcor of whn o py n how much o py h vn wrin in policy bu normlly popl ovrlook how much o py cn b vribl rl o rik pour. W my h h bnfi funcion of fc moun n vry long wih im in h conn of prouc ign. W mp o uiliz boh h iming of bnfi n h moun of bnfi o b vribl in rmining h rik of h prouc. If w ign h prouc in which h rik ruling from whn o py i mor/l hn h pc n h from how much o py i l/mor hn h pc ccoringly, w my immuniz h rik wihin h prouc. Th pc vlu i rmin by h prn vlu of h policy ch flow n h ch flow r ci by h fuur lifim iribuion b on morliy umpion. Th im vlu i h brig bwn whn o py n how much o py. Th rik rooing in whn o py conroll by h fcor, h forc of inr r, cn b rprn h im vlu of h bnfi. If h h bnfi i pi rlir hn pc iming h compny fc lo of h im vlu. In hi c, w my nvig h h moun of bnfi i pi l in rpon o h lo of im vlu. Thu, w inrouc nw fcor, h forc of moun, in rmining h moun of h bnfi n i i lo ngg o h rik rooing in how much o py. W hu r bl o cr h prouc h whn h bnfi i pi rlir/lr hn pc iming i moun of bnfi i pi l/mor ccoringly. W implmn our rgi by mn of rik in prouc ign illur prouc in hi ricl, in which w prn h opiml rgy of prfc miigion n h conry rgy in iminihing rik. Our rgi hrough rik immuniz prouc fcili h mrking n mngmn n lo mk morliy rik miigion fibl o crry on. Following our rgi in prouc ign, h inurnc prouc h lo mor poibiliy in ngging o finncil inrumn wihou coniring h morliy r rik. Our fining cn lo provi furhr rrch or r-ign of prviou ui h ignor h inc of morliy r 5

6 rik in n inurnc prouc vluion or rik mngmn conirion. A fr w know, hr r no uch pproch in h fil of h nurl hging lirur y. Th rminr of hi ricl i orgniz follow. In h cion Thoricl Dvlopmn, w uc n lbor our horicl vlopmn for nurl hging rgy uing h Lplc rnform h w gnr pcifi lif inurnc. In h n cion Numricl Anlyi w u n iing mol wih U.S. morliy princ n monr how o implmn our propo rgi o h nurl hging ffc wih numricl mpl in h cion. W n our nlyi o h c of nnuiy prouc in h n cion, n hn w conclu in h l cion. 2. Thoricl Dvlopmn 2.1 I Scrching W fir nlyz riionl whol lif inurnc prouc in h frmwork of Lplc rnform 2. Th n ingl prmium for h whol lif inurnc wih 1- uni fc moun pr by h noion of Bowr l. (1997) cn lo b pr in Lplc rnform form : b( ) ( ) ( ) 0 p b f L, (1) whr δ i h forc of inr, b() i h h bnfi im pr 1- uni fc moun, 3 f() i h probbiliy niy funcion of h fuur lifim rnom vribl S g : p+, in which μ+ i h forc of morliy g of + n p no h probbiliy of pron g who will urviv yr. No h b()=1 for riionl whol lif inurnc, which mn h h h bnfi i fi h fc moun of h policy. In uch c, quion (1) impli h h n ingl prmium i funcion of h forc of inr δ wih rpc o f(). Shoul morliy ri unpcly, h collc prmium h inufficin im o ccumul o h h bnfi; on h ohr hn, h policyholr whol py 2 Th Lplc rnform L f ( ) f ( ) 0 i n ingrl rnform wily u in mhmic wih mny pplicion in phyic n nginring. I urn convoluion ino muliplicion, h lr bing ir o olv bcu of i lgbric form. 3 6

7 oo much if morliy improv mor hn pc. Th prouc mk h inurr n inur ubjc o h morliy rik. Cn w miig uch rik hrough prouc ign? On ign i o mk h h bnfi n incring funcion of h im o h h ccumul vlu of h prmium cn mch h h bnfi no mr how morliy vri. Th Lplc rnform form h ligh on poibl oluion: chnging h prmr of (.) p f 0 L. (2) Th prouc impli by quion (2) i n incring whol lif inurnc policy. I h bnfi incr coninuouly h nnul r of. Th prmr γ conrol how much o py whilδ woul rflc h im vlu of pymn. Appropri choic on (,δ), uch δ, cn mk h prn vlu of h h bnfi inniiv o h iming of h h in urn i ffc by morliy. Such ign cn hu miig h morliy rik. 2.2 Forml Dvlopmn W lbor h bov i by mining h pc rrv of h pproprily clibr whol lif inurnc prouc o whhr i cn b immuniz from h morliy rik by ilf. Whn nw policy of h clibr prouc i ol now (i.., im 0) o cuomr g wih fc moun 1 (wihou lo of gnrliy), h pc rrv im of h policy i in quion (3): 0 F 0 p. (3) Rfrring o h rivion in Bowr l (1997, chpr 4), w my compo ino wo pr: ( S ) S E 0 F ( S ) S ( S ) S E F0 S h Pr S h E F 0 S h Pr S h, (4) whr S h q S h Pr n Pr h h p. Sinc h coniionl p..f. of S givn S h i 7

8 f p 0 h f S h F h q h 0 lwhr, p ( S ) S ( ) 0 S h 0 F0 q h E h F (5) n ( S ) S h ( S h) ( S h) E F0 S h E F0 ( S h) 0 h h ( S ) S h h E F 0 ( S h) 0 h. (6) Subiuing quion (5) n (6) ino (4) yil p h p h q. ( ) h q 0 h h h h (7) Muliplying boh i of quion (7) by -1, ing by h, w obin h h 1 1 p h h h h h. h h ( ) p 0 h, n hn iviing (8) Th limi of h wo im on h righ-hn i of quion (8) r follow: 1 lim h0 h p n h ( ) ( ) 0 p 0 p 0 1 p ( ) 0 lim h 1 p h 0 0 Th limi of quion (8) i hu h p ( ) p 0 0 ( ), (9). (10) 8

9 . (11) Th bov rivion mn h. (12) Rrrnging quion (12), w g. (13) No h i lwy poiiv inc 0. Thn w hv h following bounry coniion of h pc rrv: 1. whn μ++δ γ> 0 n 0, 2. whn μ++δ γ< 0 n 0, 3. whn μ++δ γ> 0n 0, 4. whn μ++δ γ< 0n 0,,,, n. Th quion of h bounry cn b wrin :. (14) A Figur 1 n 2 iply, Equion (14) rprn hyprbol cnr ( δ+γ, γ ) on h (μ+, ) pln. Th wo ympo of h hyprbol r givn by μ+ = δ+γ n = γ. Th hyprbol wih poiiv (δ γ) ly in h 2n n 4h qurn coorin wih rpc o h cnr whil h hyprbol wih ngiv (δ γ) ly in h 1 n 3r qurn hown by Figur 1 n Figur 2 rpcivly. Th hyprbol in Figur 1 hibi poiiv lop whil h in Figur 2 hv ngiv lop. 9

10 Coniion 2 Coniion 1 Figur 1 Th bounry of h pc rrv wih poiiv (δ γ) on h (μ+, ) pln No: W r wr h ngiv μ + i no ronbl bu rin hm o how compl hyprbol. Coniion 3 Coniion 4 Figur 2 Th bounry rrv wih ngiv (δ γ) on (μ+, ) pln In Figur 1, h curv on h own-righ of h cnr mch h criri of h 10

11 coniion 1. Auming h μ+ i incring funcion 4 of g, wih cririon 0 of coniion 1, w my uc h h i incring long wih μ+, n wih cririon μ++δ γ> 0, h lowr boun of pc rrv in coniion 1 houl b on h own-righ in rpc o h cnr of hyprbol. Th up-lf curv in Figur 1 mch h criri of h coniion 2. Wih criri μ++δ γ< 0 n 0, no h h coniion 2 hown on h own-lf pr of h hyprbol o no i in rliy inc h forc of morliy μ+ houl no b ngiv. Following h m ucion, w inify h hyprbol wih ngiv (δ γ) in Figur 2, of which h up-righ curv rprn h uppr boun of h pc rrv in h coniion 3 n h own-lf curv rprn h lowr boun of h pc rrv in h coniion 4. Th fur of bounry rrv in coniion 3 n 4 i cring long wih μ+. Th pc rrv my b mor/l hn or qul o h lowr/uppr boun of pc rrv in prcic. Whn nrrowing own h poibiliy of (δ γ) in h four coniion w fin ou h bounry rrv i qul o h pc rrv if (δ γ) = 0. Whn (δ γ) i qul o 0, h lowr/uppr boun of h pc rrv in Figur 1 i fol oghr wih h uppr/lowr boun of h in Figur 2. Th fur of h pcil c wih (δ γ) = 0 urn ino horizonl lin hown in Figur 3 which i cly on of h ympo of h hyprbol = γ. 4 11

12 Figur 3 Th bounry rrv wih (δ γ) = 0 on h (μ+, ) pln Furhr Anly on h (+, ) pln Morliy r rik i bcu w vlu rik ccoring o g. If inurnc compni pric lif inurnc prouc ccoring o rl ging iuion, h compni my no hv morliy r rik. In fc, nihr cn w obrv ging of iniviul ircly, nor cn w pric h morliy rik by ch iniviul ging iuion. Wh w cn obrv in nur i iniviul g n morliy r wih rpc o g iiclly. Thn, h forc of morliy i qunifi o pr ging wih rpc o g in mhoology. Sinc w pric inurnc prouc b on g, no ging, morliy r rik mrg ccoringly. Thu, cquiring h informion on (+, ) pln i imporn in rmining h morliy r rik of h pcifi prouc long wih h chng of morliy r. N, w inn o monr h rlionhip of pc rrv n g by h fur of h bounry rrv coorin on h (+, ) pln. Wih h informion on h (μ+, ) pln in l cion, w cn rnform h 12

13 fur of h bounry rrv wih rpc o h forc of morliy ino h fur of h wih rpc o g by uming h h forc of morliy μ+ i monoonic incring funcion of g +. W hn cn illur fur of h bounry rrv ccoring o g + on h (+, ) pln n plor h rlionhip of pc rrv n g. In c of h poiiv (δ γ), w rnform h fur of h bounry rrv on h (μ+, ) pln in Figur 1 ino h fur on h (+, ) pln hown in Figur 4. Alo, in c of h ngiv (δ γ), w rnform h fur of h bounry rrv in Figur 2 ino h fur on h (+, ) pln hown in Figur 5. Th ngiv vlu of μ+ on h (μ+, ) pln cnno hibi on h (+, ) pln for ch g i of poiiv forc of morliy. Coniion 1: Uppr boun Figur 4 Th bounry rrv wih poiiv (δ γ) on (+, ) pln No h h illurion i uing h Mkhm mol , which i ci from Mlnikov n Romniuk (2006) n h originl i b on h morliy r from 1959 o 1999 in Amricn (Pollr, 1973). 13

14 Coniion 3: Uppr boun Coniion 4: Lowr boun Figur 5 Th bounry rrv wih ngiv (δ γ) on (+, ) pln No h h illurion i uing h Mkhm mol , which i ci from Mlnikov n Romniuk (2006) n h originl i b on h morliy r from 1959 o 1999 in Amricn (Pollr, 1973). W monr h four coniion of quion (13) in corrponing fur on h (+,) pln. Th fur of h bounry rrv in Figur 4 how h g wih poiiv vlu of μ+ which i h c in coniion 1. Th c in coniion 2 o no how ou on h (+,) pln for h vlu of μ+ i ngiv. In Figur 5, h fur of bounry rrv on h up-righ pr i h c in coniion 3 h follow h cririon of μ++δ γ>0; whil h ohr on h own-lf pr i h c in coniion 4 h follow h cririon of μ++δ γ<0 on h (+, ) pln. Th fur of h bounry rrv in Figur 4 ppr fr incring hn h in 1 qurn of Figur 1 long wih h horizonl i. A h horizonl i of μ+ i chng ino h of h g +, h horizonl i i r-cl vnly h murmn of g on h (+, ) pln. Th lop Figur 4 i mor hn h in figur 1 inc of h lrly g i much highr hn h of h young g. 14 of lrly g in n In Figur 4, h bounry rrv of pcifi prouc wih poiiv (δ γ),

15 ppr h h rik rooing in whn o py i mor hn h rooing in how much o py. A for our h bnfi prouc, h rik rooing in whn o py rprn morliy rik bcu whn h rliz morliy r ri up, i mn h mor hn pc popl of cohor r pi rlir hn pc iming. Th inurnc compni g lo by h im vlu of r h bnfi clim u o incr of morliy r. Th rik rooing in how much o py in our ign i h w h incrmn of h bnfi ch im h i only provi o h urvivor h im. Th rik rooing in how much o py i form of longviy rik. Th morliy rik pour i mor hn longviy pour in Figur 4. In gnrl, mo lif inurnc prouc r group in hi yp of fur in Figur 4 h morliy rik i mor hn h longviy rik. Th fur in Figur 5 i mingly bu no c hyprbol on h (+, ) pln. Th g roun 33 yr ol i criicl g h h bounry rrv i unboun. Th bounry rrv in h c of ngiv (δ γ) i cring long wih g mor hn 33 yr ol. Whn (δ γ) i ngiv, w my y h h rik rooing in how much o py in our ign i mor hn h rooing in whn o py. Th i o y h longviy rik of h c i mor hn morliy rik following h imilr lborion in h c of poiiv (δ γ) bov. Thi yp of inurnc prouc i rr. Bu i vr horly ppr in Tiwn inurnc mrk. Th compni ign n incring whol lif inurnc wih γ > δ. For innc, h h bnfi i b on fc moun compoun by 4% nnully n nnul inr r i 2.5%. A for h pcil c on h (μ+, ) pln in Figur 3, w rnform h horizonl i o g + n iply h c of (δ γ)=0 on (+, ) pln hown in Figur 6. Th uppr boun i ovrlpp wih h lowr boun of h pc rrv. Th fur of h bounry rrv i horizonl lin h i h m in Figur 3. Th iffrnc of fur bwn Figur 3 n Figur 6 i h murmn of horizonl i h cnno lr h hp of horizonl lin. Th 15

16 funcion of h pcil horizonl lin = γ on (+, ) pln i h m h on h (μ+, ) pln inc h c i irrlvn o h vribl of horizonl i. In hi pcil c, h fur i no ju h bounry rvr bu lo h pc rrv. W hn com ou n only oluion h fulfill h criri of h four coniion of quion (13) rprn h rlionhip bwn pc rrv n g. Uppr boun=lowr boun Figur 6 Th bounry rrv wih δ γ = 0 on (+, ) pln No h h illurion i uing h Mkhm mol , which i ci from Mlnikov n Romniuk (2006) n h originl i b on h morliy r from 1959 o 1999 in Amricn (Pollr, 1973). Th pc rrv i horizonl lin on (+, ) pln rvl h h pc rrv i irrlvn o g. W my mk u of hi propry on rik miigion wihin prouc. Whn w ign uch pcifi prouc wih (δ γ)=0, h rik rooing in whn o py i cly qul o h rik rooing in how much o py. Th morliy rik i miig olly by h longviy rik for ch g in h c. Furhrmor, h pc rrv i lvl o ll g n o h forc of morliy of ch g. Th pc rrv of h policy will no b ffc by h 16

17 chng of morliy r n will b qul o h rliz rrv. A h rliz rrv rmin h m h pc rrv wih h chng of morliy r, h rik i immuniz wihin h policy. 3. Numricl illurion Th bic umpion r up in Tbl 1. W um h h fc moun i US$100,000 for h pcifi whol lif inurnc n h prmium i pi by ingl prmium. Aum h h compny only ll h pcifi whol lif inurnc prouc wih givn vlu of δ. Th nurl hging rgy pn on h policy ign of h forc of moun γ. γ cn b ny givn vlu in ronbl rik miigion rgy. Tbl 1 Bic umpion for h nw form of h whol lif inurnc prouc Ag of inur 25, 45 Gnr Ml Fc moun 100,000 Th iniil vlu of forc of inr r (δ) 4% Dh bnfi 100,000 compoun by γ() Bnfi prio Whol lif Mho of pying prmium Singl prmium 3.1 Th opiml rgy wih γ = δ W fir invig h c wih h vlu of γ qul o h vlu of δ. Our pricing morliy r i b on h Mkhm mol (Mlnikov n Romniuk, 2006). W k h 5 h policy yr n mpl o min h morliy r rik which i h iffrnc of h rliz rrv n h pc rrv. Th rliz rrv i vlu by 20% up hock or 20% own hock of h morliy r. Kping h ing of δ n γ o ify h quion (δ γ) = 0 in ll im, w cn offr hr iffrn yp of h ign prouc h following mpl. 17

18 Prouc Dign 1: Th prouc i yp of riionl incring whol lif inurnc. (). Wih δ = conn numbr L γ = δ = conn = 4% hrough h whol policy yr. Th h bnfi i compoun γ coninuouly n i i inic h following quion F = F0 p(γ), whr F0 i h fc moun, i h policy yr. Th oucom i hown in h Tbl 2. Tbl 2 Th Libiliy h En of h 5 h Policy Yr of Illur Inurnc Prouc for Diffrn Morliy B γ(=4%) = δ(=4%) (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) g Bi 20% Up Shock 20% Down Shock Rrv Chng Rrv Chng , , ,140 0% 0% , , ,140 0% 0%. A w cn in Tbl 2, h rrv rmin unchng fr h hock of morliy r. Th rul i conin wih h c of (δ γ) = 0 in our horicl nlyi. Thu, h morliy r rik of h pcifi prouc i non inc h rik pour o no incr or cr cu by h 20% hock h 5 h policy yr. Th pcifi whol lif inurnc prouc ppr no morliy rik or longviy rik in ll g. Th prouc ign 1 i riionl incring whol lif inurnc. If h inr r kp h m h forc of moun γ, h prouc fulfill h criri δ= γ n hr i no morliy r rik ll. Whil in rliy, h inr r i no fi long wih h whol policy yr, h prouc my b po o rik. (b). δ obin by CIR mol wih conn long rm mn To cpur h rik in rliy h bginning of h policy, w blih n 18

19 inr r mol of on fcor CIR 5 mol n morliy r mol of LC 6 (L & Crr, 1992) mol o cpur h ynmic of inr r n morliy in h whol policy yr. Th γ rmin conn in h prouc ign. All numricl rul r obin wih 10,000 imulion. Th prouc ign 1 of ynmic inr r (δ) wih conn long rm mn h i qul o γ. W iply h rul of γ = 6.5% n h ohr comprion pnl of γ = 0% hown in h Tbl 3. Tbl 3 Th Libiliy h En of h 5h Policy Yr of Illur Inurnc Prouc wih CIR Mol n LC Mol for Diffrn Morliy B Pnl A: γ (=6.5%) = Long Trm Mn of Inr R Mol (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) Morliy R Morliy R g Bi 20% Up Shock 20% Down Shock Rrv Chng Rrv Chng , , , % 0.12% , , , % 0.14% Pnl B: γ (= 0%) Long Trm Mn of Inr R Mol (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) Morliy R Morliy R g Bi 20% Up Shock 20% Down Shock Rrv Chng Rrv Chng 25 6,378 7,133 5, % % 45 17,509 19,195 15, % % Th rul in Tbl 3 h how miigion of rik in Pnl A i br hn ho in Pnl B. Evn hough h h prouc ign 1 in Pnl A i no cly kping γ() = δ() poin o poin, i ill br off h rul wih γ()=0. Prouc Dign 2: Th yp of prouc i n inr r vribl whol lif inurnc. In orr o kp h criri of γ() = δ() uring h m im prio, =1, 5 r( ) = κ(θ r()) + σ r( )W( ), wih κ = 0.25, θ = 0.065, σ = 0.07 ( Liu (2013), Chn l. (1992)) 6 log m(, ) = + b k + ε, Th in k i mol by rnom wlk wih rif rm: k = k 1 + c +. Th i US morliy r from 1961 o 2010 obin on Th prmr im for LC mol r: c = , σ =

20 2 c. W ci h γ() immily fr w obin nw δ() in h mrk ch im. W l γ() clo o δ() poibl. Th δ() i picwi coninuouly long wih im n o i h γ().w um δ(1) = δ, γ(1) = δ(1) for h fir policy yr. From h con policy yr on, w clr nw inr r h bginning of ch policy yr h gnr nw forc of inr r δ(). L γ() = γ = δ(). W obin h inicion of h h bnfi hi kin of policy i F = F0 p(σγ). A h inr r i vribl ch policy yr, w um h inr r cnrio for h 2 n o 5 h policy yr. Th vlu of h forc of inr r for h fir fiv policy yr r hown in Tbl 4. Tbl 4 Th Scnrio of h lu of h Forc of Inr R for h Fir Fiv Policy Yr. Policy Yr Scnrio A δ=4% δ(2)=4.25% δ(3)=4.50% δ(4)=4.50% δ(5)=4.75% Scnrio B δ=4% δ(2)=3.75% δ(3)=3.75% δ(4)=3.50% δ(5)=3% Th oucom of prouc ign 2 i hown in Tbl 5. W cn h h vlu of rrv r no chng by h hock of morliy r in Tbl 5. Th morliy rik n longviy rik inic in column (4) n column (5), rpcivly, r hown no rik by h chng of morliy r bcu h ol morliy r rik i immuniz wihin h policy. Tbl 5 Th Libiliy h En of h 5 h Policy Yr of Prouc Dign 2 for Diffrn Morliy B γ() = δ() (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) Scnrio g Bi 20% Up Shock 20% Down Shock Rrv Chng Rrv Chng A B , , ,608 0% 0% , , ,608 0% 0% , , ,722 0% 0% , , ,722 0% 0% 20

21 Th prouc inclu lvl bnfi whol inurnc n n r inurnc bnfi (i.. ivin or incrmn of h bnfi) h pn on h clrion of inr r ch policy yr. Th inr r vribl lif inurnc in h Uni S i on of h kin in hi prouc group. Our prouc ign i b on h inr r vribl lif inurnc n kping h cririon γ()=δ(). Th iffrnc from h h inr r vribl inurnc prouc provi ivin o policyholr, h prouc 2 provi h incrmn of h bnfi. Ech incrmn of h bnfi in our prouc houl b h m h ivin of inr r vribl inurnc prouc gnr by h clr inr r. A long h prouc m h cririon γ()=δ(), whhr h r bnfi i cll ihr h incrmn of h bnfi in our ign or h ivin in h conn of inr r vribl lif inurnc, i o no mr h chivmn of rik miigion. In our prouc ign hr, w k h r h bnfi incr by ch clr inr r n provi no ivin. A o fulfill h criri, h ign of inr r vribl lif inurnc houl k h bnfi n ivin ino ccoun on mn of rik. Sinc h inr r i clr in rl o mrk inr r, h yp of prouc clin h hr of inr r rik compring o h prouc wih fi inr r. Prouc Dign 3: Th inr r vribl incring whol lif inurnc. Th i of hi prouc i imilr o Prouc ign 2 h h ciion of γ() i oon fr h nw δ() w cn g in h mrk. L γ() = γ0 +Δγ= δ(), uring h m im prio, =1, 2 c. S h iniil vlu of h forc of moun γ0 = 2% < δ = 4% im 0. L δ(1) = δ, γ(1) = γ0 +Δγ1 = δ(1) in h fir policy yr. From h 2 n policy yr on, clr nw inr r in ch following policy yr h gnr nw forc of inr r δ(). A γ() = γ0 + Δγ = δ(), h h bnfi i F = F0 p(γ0 + ΣΔγ) = F0 p(γ0) + F0 p(σδγ). Th prouc i combinion of prouc 1 n prouc 2. Th prouc conin 21

22 fi incrmn h bnfi h mk hi pr of prouc look lik riionl incring whol lif n vrin incrmn h bnfi h mk hi pr of prouc m lik n inr r vribl lif inurnc. Th vrin incrmn h bnfi i lik prouc ign 2 rmin by h clrion of inr r. W um h inr r cnrio for h 2 n o 5 h policy yr. Th vlu of h forc of inr r for h fir fiv policy yr r hown in Tbl 6. Tbl 6 Th Scnrio of h lu of h Forc of Inr R for h Fir Fiv Policy Yr Policy Yr Scnrio C δ=4% δ(2)=4% δ(3)=4.50% δ(4)=4.50% δ(5)=4.50% Δγ1=2% Δγ2=2.25% Δγ3=2.50% Δγ4=2.50% Δγ5=2.75% Scnrio D δ=4% δ(2)=3.50% δ(3)=3.50% δ(4)=3.50% δ(5)=3.25% Δγ1=2% Δγ2=1.75% Δγ3=1.75% Δγ4=1.50% Δγ5=1% Th oucom of prouc 3 i hown in Tbl 7. W cn lo h h vlu of rrv r no chng by h hock of morliy r in Tbl 7. Th morliy rik n longviy rik inic in column (4) n column (5), rpcivly, r hown no rik by h chng of morliy r bcu h ol morliy r rik i immuniz wihin h policy. Tbl 7 Th Libiliy h En of h 5 h Policy Yr of Prouc 3 for Diffrn Morliy B γ() = γ0 + Δγ = δ() (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) Scnrio g Bi 20% Up Shock 20% Down Shock Rrv Chng Rrv Chng C D , , ,986 0% 0% , , ,986 0% 0% , , ,423 0% 0% , , ,423 0% 0% 22

23 3.2. Th conry rgy wih 0<γ<δ 7 Whn h rgy i wih γ<δ, our objciv i o iminih h morliy r rik, no o immuniz h rik. A w lbor in hi ricl, h rik rooing in whn o py of h bnfi lif inurnc i morliy rik long wih h chng of morliy r, n h rik rooing in how much o py of h bnfi lif inurnc i longviy rik. W k h bnfi whol lif inurnc n mpl. Th oucom of h chng of h morliy r wih 20% hock i in Tbl 8. Tbl 8 Th Libiliy h En of h 5 h Policy Yr of Illur Inurnc Prouc for Diffrn Morliy B Pnl A: γ (=2%) <δ (=4%) (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) g Bi 20% Up Shock 20%Down Shock Rrv Chng Rrv Chng 25 45,368 47,287 43, % % 45 63,758 66,020 61, % % Pnl B: γ (=0%) <δ (=4%) 25 18,612 20,153 16, % % 45 35,216 37,608 32, % % Th prouc in Pnl A wih δ, 4% n γ, 2% i compr o h in Pnl B wih δ, 4% n γ, 0%. Th prouc in Pnl A i po o boh h morliy rik n h longviy rik n h longviy rik i l hn h morliy rik. Th prouc in Pnl B i po o morliy rik only. Whn h morliy r i chng by 20% hock, h pc rrv of boh prouc i chng. Wih incr of rrv inic in column 4 wih rpc o 20% up hock of morliy r, prouc in Pnl A i po o rik of 3%~4% mor hn h in bi morliy r. An h prouc in Pnl B i po o h of 6~8% mor hn h in bi morliy r by h chng of morliy r. Th conry rgy i o iminih h rik wihin h policy by cring longviy rik in lif inurnc prouc o lowr h pour of morliy rik n h rgy hlp u o ign uch prouc upon h mn of rik pour. 7 Wih prouc ign of γ>δ, h lif inurnc prouc bcom po o h longviy rik only. Th i no norml in pur h bnfi lif inurnc prouc. In h norml iuion, inurnc compni my no ign uch prouc o confu hmlv in inificion of h longviy rik ruling from pur h bnfi lif inurnc. 23

24 4. Annuiy W my pply h m chniqu wih h forc of moun γ in cion 2 for whol lif nnuiy prouc of 1 uni fc moun pr nnum pybl coninuouly whil () urviv. Sinc h nnuiy prouc i pying bnfi long h inur urviv, i i po o longviy rik of whn o op pying. Th rm i h m whn o py of lif inurnc prouc i h im vlu rmin by δ. W r ing h forc of moun γ in prouc rucur o cr morliy rik of how much o py o miig h longviy rik. 4.1 Thoricl vlopmn on nnuiy prouc Thu, w h funcion of urvivor bnfi for h nnuiy prouc, b"()= -γ, pr 1- uni fc moun im, whr γ >0. Wih S rprning h fuur lifim of (), h prn vlu of h nnuiy pymn m up unil h i ( ) S S u u 1 0 Y u. (14) Th n ingl prmium of h pcifi nnuiy prouc i no Y p ( ) 1 1 p p 0. (15) Ingrion by pr, h quion (15) cn lo b pr 1 1 r r Y p r 0 P P. (16) Whn h nnuiy prouc i ol o cuomr g wih 1-uni fc moun, policy yr ping by, h pc rrv h n of policy yr for hi nnuiy policy cn b pr quion (17) or quion (18) 24

25 25 P r r r 0 1, (17) or P r r 0. (18) Hving quion (17) iffrni by n pplying quion (10), w obin r r r M r r r r P (19) P P P r r r r r r r r r r M whr Rrrnging h quion (19) yil. (20) Th four coniion of h nnuiy prouc for quion (19) r follow: 1. Whn μ++δ+γ> 0 n 0, hn. 2. Whn μ++δ+γ< 0 n 0, hn. 3. Whn μ++δ+γ> 0 n 0, hn. 4. Whn μ++δ+γ< 0 n 0, hn.

26 Th quion of bounry rrv i whn i qul o zro. Wih poiiv vlu of -γ, rrrnging h quion of bounry rrv (20) ino, (21) w obin h only poibl fur of hyprbol wih cnr ( δ γ, 0) on h (μ+, ) pln. Th wo ympo of h hyprbol r givn by μ+ = δ γ n = 0. Th fur wih poiiv vlu of -γ ly in h 1 n 3 r qurn wih rpc o h cnr, hown in Figur 7. Coniion 1 Coniion 2 Figur 7 Th bounry rrv wih poiiv γ on h (μ+, ) pln Sinc h lop of h fur in Figur 7 i ngiv n if w um h μ+ i n incring funcion of g w cn g h rquir cririon in coniion 1 n 2. Th poiiv i ngiv rquir cririon in 26

27 coniion 3 n 4 i impoibl iing in our pcifi nnuiy prouc unl μ+ i cring funcion of g, bu hi i gin nur of ging. W hn only focu on h c whn i ngiv in coniion 1 n 2. N, w rnform h fur on h (μ+, ) pln ino h on h (+, ) pln by proviing μ+ givn funcion of g hown in Figur 8. Th fur in Figur 8 i h c in coniion 1 wih h cririon of μ++δ + γ>0 on h (+, ) pln. Thi fur iply h uppr boun of h pc rrv in coniion 1. For h m ron in cion 2, h c of coniion 2 i no hown on h (μ+, ) pln. Coniion 1: Uppr boun Figur 8 Th bounry rrv wih poiiv γ on (+, ) pln No h h illurion i uing h Mkhm mol , which i ci from Mlnikov n Romniuk (2006) n h originl i b on h morliy r from 1959 o 1999 in Amricn (Pollr, 1973). Unlik h oucom in lif inurnc, h nnuiy prouc wih poiiv γ cnno 27

28 yil fur of horizonl lin h i confirmion in rmining if h opiml miigion rgy i. Evn hough w cn only g h conry rgy for h nnuiy prouc in uch prouc rucur, h cr ffc of morliy rik in h nnuiy prouc cn ill miig pr of h longviy rik wihin h policy. Thu, givn poiiv γ w cn u h conry rgy, rik iminihing, o pply on h nnuiy prouc o rpon h mn of prouc rik. 4.2 Numricl Illurion W um h h fc moun i US$10,000 for h nnuiy prouc n h prmium i pi by ingl prmium. Aum h h compny only ll h pcifi nnuiy prouc wih givn vlu of δ. Th rgy i o h vlu of γ. γ cn b ny givn poiiv vlu o lowr h ol rik of h prouc. Th bic umpion of nnuiy prouc hown in h Tbl 9 Tbl 9 Th Bic Informion of h Illur Annuiy Prouc Ag of inur 25, 45 Gnr Ml Fc moun 10,000 Th iniil vlu of forc of inr r (δ) 4% Annum pybl 10,000 compoun by -γ() Bnfi prio Whol lif Mho of pying prmium Singl prmium Unr h rgy of h nnuiy prouc wih h forc of moun, w cn iminih h longviy rik of h nnuiy prouc wihin h policy whn morliy r i chng. W k whol lif nnuiy n illur c. In Tbl 10, w how h h longviy rik of h nnuiy prouc i l hn h wih h forc of moun. 28

29 Tbl 10 Th Libiliy h En of h 5 h Policy Yr of Illur Annuiy Prouc for Diffrn Morliy B A: γ (=4%) <δ (=4%) (1) (2) (3) (4)=[(2)-(1)]/(1) (5)=[(3)-(1)]/(1) g Bi 20% Up Shock 20%Down Shock Rrv Chng Rrv Chng 25 90,472 89,608 91, % 1.014% 45 79,509 77,469 81, % 2.830% B: γ (=0%) <δ (=4%) , , , % 2.286% , , , % 4.703% Th prouc A wih δ, 4% n γ, 4% i compr o prouc B wih δ, 4% n γ, 0%. Th prouc A i po o boh h morliy rik n h longviy rik n h morliy rik i l hn h longviy rik. Th prouc B i po o longviy rik only. Whn h morliy r i chng by 20% hock, h pc rrv of boh prouc i chng. Wih incr of rrv inic in column 5 wih rpc o 20% own hock of morliy r, prouc A i po o rik of 1%~3% mor hn h in bi morliy r. An h prouc B i po o h of 2~5% mor hn h in bi morliy r by h chng of morliy r. W how h h conry rgy cn b lbor o iminih h rik wihin h policy by cring morliy rik in h nnuiy prouc o lowr h pour of longviy rik n h rgy hlp u o ign uch prouc upon h mn of rik pour. 5. Concluion W icovr h nurl hging rgy hrough prouc ign i n imporn p h w cn immuniz/miig h morliy r rik wihin policy. Th ky 29

30 poin i h w houl k h rik rooing in whn o py n h rik rooing in how much o py ino conirion in rik miigion chniqu. W inrouc fcor γ, h forc of moun, rik fcor rooing in how much o py in h prouc ign. W uiliz h γ o ign h bnfi procion lif inurnc h h morliy r rik i immuniz. W uc h opiml nurl hging rgy wihin policy wih h criri of ing on γ o l γ = δ. Whn h γ i qul o δ, h pcifi prouc ppr no rik wih h chng of morliy r. Th morliy r rik i immuniz in uch kin of prouc wih h bnfi procion in ll g. Whn h γ i no qul o δ, h rgy i u o iminih h rik rhr hn o immuniz h rik. If δ > γ, h h bnfi procion prouc i po o morliy rik rhr hn longviy rik wih h chng of morliy r n h lif inurnc prouc wih ing of γ i l po o morliy rik hn h on wihou ing of γ. In h c of h h bnfi lif inurnc prouc, h γ fcor i cring wy o miig h morliy rik of lif inurnc. An in h c of nnuiy prouc, h γ fcor i u o miig h longviy rik of h nnuiy prouc. B on our horicl nlyi, h nnuiy prouc cn only uc conry rgy o iminih rik wihin h policy by cring morliy rik fcor γ. Following h opiml rgy in h prouc ign, h inurnc prouc h lo mor poibiliy in ngging o finncil inrumn wihou coniring h morliy r rik. Our fining cn lo provi furhr rrch or r-ign of prviou ui h ignor h inc of morliy r rik in n inurnc prouc vluion or rik mngmn conirion. 30

31 Rfrnc Bur, D., Borgr, M., Ru, J., On h Pricing of Longviy-Link Scurii. Inurnc: Mhmic n Economic 46, Blk, D., Burrow, W., Survivor Bon: Hlping o Hg Morliy Rik. Th Journl of Rik n Inurnc 68(2), Blk, D., Cirn, A.J.G., Dow, K., Living wih Morliy: Longviy Bon n Ohr Morliy-Link Scurii. Briih Acuril Journl 12(1), Blk, D., Cirn, A.J.G., Dow, K., McMinn,R., Longviy Bon: Finncil Enginring, luion, n Hging. Th Journl of Rik n Inurnc 73(4), Cirn, A.J.G., Robu Hging of Longviy Rik. Th Journl of Rik n Inurnc 80(3), Cirn, A.J.G., Blk, D., Dow, K., Pricing h: Frmwork for h vluion n curiizion of morliy rik. ASTIN Bullin 36, Cirn, A.J.G., Blk, D., Dow, K., 2006b.A Two Fcor Mol for Sochic Morliy wih Prmr Uncriny: Thory n Clibrion. Th Journl of Rik n Inurnc 73(4), Chn, K., Krolyi, A., Longff F. A., n Snr, A. B., An Empiricl Comprion of Alrniv Mol of h Shor-Trm Inr R. Journl of Finnc 47, Co, S. H., Lin, Y., Nurl Hging of Lif n Annuiy Morliy Rik. Norh Amricn Acuril Journl 11(3), Co, S. H., Lin, Y., Wng, S., Mulivri Eponnil Tiling n Pricing Implicion for Morliy Scuriizion. Th Journl Rik n inurnc 73(4), 31

32 Lin, T., Ti, C. C., On h Morliy/Longviy Rik Hging wih Morliy Immunizion. Inurnc: Mhmic n Economic 53(3), Lin, T., Tzng, L.Y., An Aiiv Sochic Mol of Morliy R: An Applicion o Longviy Rik in Rrv Evluion. Inurnc: Mhmic n Economic 46(2), Liu, Xioming, Annuiy Uncriny wih Sochic Morliy n Inr R. Norh Amricn Acuril Journl, 17(2), Lucino, E. Rgi, L., Efficin vru Infficin Hging Srgi in h Prnc of Finncil n Longviy (lu ) Rik. Inurnc: Mhmic n Economic 55, P McMinn, R., Brock, P., Blk, D., Longviy Rik n Cpil Mrk. Th Journl of Rik n Inurnc 73(4), Mlnikov, A., Romniuk, Y., Evluing h prformnc of Gomprz, Mkhm n L Crr Morliy Mol for Rik Mngmn wih Uni-Link Conrc. Inurnc: Mhmic n Economic 39(3), Pollr, J.H., 1973, Mhmicl Mol for h Growh of Humn Populion, Cmbrig Univriy Pr, Lonon, Gr Briin Ti, C.C., Chung, S., Acuril Applicion of h Linr Hzr Trnform in Morliy Immunizion. Inurnc: Mhmic n Economic 53(1), Wng, C., Hung, H.C., Hong, D., 2013.A Fibl Nurl Hging Srgy for Inurnc Compni. Inurnc: Mhmic n Economic 52(3), Wng, J.L., Hung, H.C., Yng, S.S., Ti, J.T., An Opiml Prouc Mi for Hging Longviy Rik in Lif Inurnc Compni: Th Immunizion Thory Approch. Th Journl of Rik n Inurnc 77,

33 Yng, S.S., Yu, J.C., Hung, H.C., 2010.Moling Longviy Rik Uing Principl Componn Approch: A Comprion wih Eiing Sochic Morliy Mol. Inurnc: Mhmic n Economic 46(1), Gzr, N., Wkr, H., Morliy Rik n i Effc on Shorfll n Rik Mngmn in Lif Inurnc. Th Journl of Rik n Inurnc 81(1), Ti; J. T., Wng, J. L., Tzng, L.Y., On h Opiml Prouc Mi in Lif Inurnc Compni Uing Coniionl lu Rik. Inurnc: Mhmic n Economic 46, Pl, R., On yr lu Rik for longviy n morliy. Inurnc: Mhmic n Economic 49, Shn, Y., Siu, T.K., Longviy bon pricing unr ochic inr r n morliy wih rgim-wiching. Inurnc: Mhmic n Economic 52, Hung, Y.L., Ti, J.T., Yng, S.S., Chng, H.W., Pric boun of morliy-link curiy in incompl inurnc mrk. Inurnc: Mhmic n Economic 55, Dow, K., Blk, D., Cirn, A.J.G., Dwon, P., Survivor wp. Journl of Rik n Inurnc 73,

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall Siic 504 0. Aing Normliy Gry W. Ohlr School of Siic 33B For Hll 6-65-557 gry@.umn.u Mny procur um normliy. Som procur fll pr if h rn norml, whr ohr cn k lo of bu n kp going. In ihr c, i nic o know how

More information

Explaining Synthesis of Three-Phase Sinusoidal Voltages Using SV-PWM in the First Power Electronics Course

Explaining Synthesis of Three-Phase Sinusoidal Voltages Using SV-PWM in the First Power Electronics Course Explining Synhi of hr-ph Sinuoil olg Uing S-PWM in h Fir Powr Elcronic Cour Moh, Philip Jo, Brkkn, Kruhn Mohpr Uniriy of Minno, Minnpoli, USA Wlmr Sulkowki, rik Uniriy, rik, orwy or Unl, U, ronhim, orwy

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

A DEMAND INDEPENDENT INVENTORY MODEL

A DEMAND INDEPENDENT INVENTORY MODEL Yugolv Journl of Oprion rc 23 23, Numbr, 29-35 DO: 2298/YJO2272L A DEMAND NDEPENDEN NVENOY MODEL Jnnifr LN Dprmn of rnporion Logiic & Mrking Mngmn, oko Univri, iwn, O jnnifr592@oocomw Hnr HAO, Pron JULAN

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

The Laplace Transform

The Laplace Transform Th Lplc Trnform Dfiniion nd propri of Lplc Trnform, picwi coninuou funcion, h Lplc Trnform mhod of olving iniil vlu problm Th mhod of Lplc rnform i ym h rli on lgbr rhr hn clculu-bd mhod o olv linr diffrnil

More information

Option markets and the stochastic behavior of commodity prices 1

Option markets and the stochastic behavior of commodity prices 1 his is prliminry Wor. ls o no quo. Opion mrs n h sochsic bhior of commoiy prics Gonzlo Corzr Alro rys Ingnirí Inusril y Sisms onifici Unirsi Cólic Chil brury his is prliminry wor bs on h hsis Uilizción

More information

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011 plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr

More information

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics)

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics) Mh Lr # In-l Workh Vor n Mri (Bi) h n o hi lr, o hol l o: r mri n or in Mh i mri prorm i mri mh oprion ol m o linr qion ing mri mh. Cring Mri Thr r rl o r mri. Th "Inr Mri" Wino (M) B K Poin Rr o

More information

A Tutorial of The Context Tree Weighting Method: Basic Properties

A Tutorial of The Context Tree Weighting Method: Basic Properties A uoril of h on r Wighing Mhod: Bic ropri Zijun Wu Novmbr 9, 005 Abrc In hi uoril, ry o giv uoril ovrvi of h on r Wighing Mhod. W confin our dicuion o binry boundd mmory r ourc nd dcrib qunil univrl d

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

K x,y f x dx is called the integral transform of f(x). The function

K x,y f x dx is called the integral transform of f(x). The function APACE TRANSFORMS Ingrl rnform i priculr kind of mhmicl opror which ri in h nlyi of om boundry vlu nd iniil vlu problm of clicl Phyic. A funcion g dfind by b rlion of h form gy) = K x,y f x dx i clld h

More information

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01 CS 1 Algorim nd Progrm Exm Soluion Jonn Turnr 11/8/01 B n nd oni, u ompl. 1. (10 poin). Conidr vrion of or p prolm wi mulipliiv o. In i form of prolm, lng of p i produ of dg lng, rr n um. Explin ow or

More information

Derivation of the differential equation of motion

Derivation of the differential equation of motion Divion of h iffnil quion of oion Fis h noions fin h will us fo h ivion of h iffnil quion of oion. Rollo is hough o -insionl isk. xnl ius of h ll isnc cn of ll (O) - IDU s cn of gviy (M) θ ngl of inclinion

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite nrnionl Confrnc on Mchnicl nusril n Mrils Enginring 5 CMME5 - Dcmbr 5 RUE Rjshhi Bnglsh. Ppr D: E-6 A Proucion nvnory Mol for Diffrn Clsss of Dmns wih Consn Proucion R Consiring h Prouc s Shlf-Lif Fini

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013 Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

A New Model for the Pricing of Defaultable Bonds

A New Model for the Pricing of Defaultable Bonds A Nw Mol fo h Picing of Dflbl Bon Pof. D. Ri Zg Mnich Univiy of chnology Mi 6. Dzmb 004 HVB-Ini fo Mhmicl Finnc A Nw Mol fo h Picing of Dflbl Bon Ovviw Mk Infomion - Yil Cv Bhvio US y Sip - Ci Sp Bhvio

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

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

Opening. Monster Guard. Grades 1-3. Teacher s Guide

Opening. Monster Guard. Grades 1-3. Teacher s Guide Tcr Gi 2017 Amric R Cr PLEASE NOTE: S m cml Iiii ci f Mr Gr bfr y bgi i civiy, i rr gi cc Vlc riig mii. Oig Ifrm y r gig lr b vlc y f vlc r. Exli r r vlc ll vr rl, i Ui S, r, iclig Alk Hii, v m civ vlc.

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

AQUIFER DRAWDOWN AND VARIABLE-STAGE STREAM DEPLETION INDUCED BY A NEARBY PUMPING WELL

AQUIFER DRAWDOWN AND VARIABLE-STAGE STREAM DEPLETION INDUCED BY A NEARBY PUMPING WELL Pocing of h 1 h Innaional Confnc on Enionmnal cinc an chnolog Rho Gc 3-5 pmb 15 AUIFER DRAWDOWN AND VARIABE-AGE REAM DEPEION INDUCED BY A NEARBY PUMPING WE BAAOUHA H.M. aa Enionmn & Eng Rach Iniu EERI

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

RUTH. land_of_israel: the *country *which God gave to his people in the *Old_Testament. [*map # 2]

RUTH. land_of_israel: the *country *which God gave to his people in the *Old_Testament. [*map # 2] RUTH 1 Elimlk g ln M 1-2 I in im n ln Irl i n *king. Tr r lr rul ln. Ty r ug. Tr n r l in Ju u r g min. Elimlk mn y in n Blm in Ju. H i nm Nmi. S n Elimlk 2 *n. Tir nm r Mln n Kilin. Ty r ll rm Er mily.

More information

can be viewed as a generalized product, and one for which the product of f and g. That is, does

can be viewed as a generalized product, and one for which the product of f and g. That is, does Boyce/DiPrim 9 h e, Ch 6.6: The Convoluion Inegrl Elemenry Differenil Equion n Bounry Vlue Problem, 9 h eiion, by Willim E. Boyce n Richr C. DiPrim, 9 by John Wiley & Son, Inc. Someime i i poible o wrie

More information

A modified hyperbolic secant distribution

A modified hyperbolic secant distribution Songklnkrin J Sci Tchnol 39 (1 11-18 Jn - Fb 2017 hp://wwwsjspsuch Originl Aricl A modifid hyprbolic scn disribuion Pnu Thongchn nd Wini Bodhisuwn * Dprmn of Sisics Fculy of Scinc Kssr Univrsiy Chuchk

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions 4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway

More information

Library Support. Netlist Conditioning. Observe Point Assessment. Vector Generation/Simulation. Vector Compression. Vector Writing

Library Support. Netlist Conditioning. Observe Point Assessment. Vector Generation/Simulation. Vector Compression. Vector Writing hpr 2 uomi T Prn Gnrion Fundmnl hpr 2 uomi T Prn Gnrion Fundmnl Lirry uppor Nli ondiioning Orv Poin mn Vor Gnrion/imulion Vor omprion Vor Wriing Figur 2- Th Ovrll Prn Gnrion Pro Dign-or-T or Digil I nd

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk Y M D B D K P S V P U D hi p r ub g rup ck l yu cn 7 r, f r i y un civi i u ir r ub c fr ll y u n rgncy i un pg 3-9 bg i pr hich. ff c cn b ll p i f h grup r b n n c rk ivii ru gh g r! i pck? i i rup civ

More information

333 Ravenswood Avenue

333 Ravenswood Avenue O AL i D wy Bl o S kw y y ph Rwoo S ho P ol D b y D Pk n i l Co Sn lo Aipo u i R D Wil low R h R M R O g n Ex py i A G z S S Mi lf O H n n iv Po D R A P g M ill y xpw CA Licn No 01856608 Ex p wy R 203

More information

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times. 2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry

More information

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Erlkönig. t t.! t t. t t t tj tt. tj t tj ttt!t t. e t Jt e t t t e t Jt Gsng Po 1 Agio " " lkö (Compl by Rhol Bckr, s Moifi by Mrk S. Zimmr)!! J "! J # " c c " Luwig vn Bhovn WoO 131 (177) I Wr Who!! " J J! 5 ri ris hro' h spä h, I urch J J Nch rk un W Es n wil A J J is f

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

Multipath Interference Characterization in Wireless Communication Systems

Multipath Interference Characterization in Wireless Communication Systems Muliph Inrfrnc Chrcrizion in Wirl Communicion Sym Michl ic BYU Wirl Communicion Lb 9/9/ BYU Wirl Communicion 66 Muliph Propgion Mulipl ph bwn rnmir nd rcivr Conruciv/druciv inrfrnc Drmic chng in rcivd

More information

CSC 373: Algorithm Design and Analysis Lecture 9

CSC 373: Algorithm Design and Analysis Lecture 9 CSC 373: Algorihm Deign n Anlyi Leure 9 Alln Boroin Jnury 28, 2013 1 / 16 Leure 9: Announemen n Ouline Announemen Prolem e 1 ue hi Friy. Term Te 1 will e hel nex Mony, Fe in he uoril. Two nnounemen o follow

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

The Procedure Abstraction Part II: Symbol Tables and Activation Records

The Procedure Abstraction Part II: Symbol Tables and Activation Records Th Produr Absrion Pr II: Symbol Tbls nd Aivion Rords Th Produr s Nm Sp Why inrodu lxil soping? Provids ompil-im mhnism for binding vribls Ls h progrmmr inrodu lol nms How n h ompilr kp rk of ll hos nms?

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and vilbl onlin www.jsr.com Journl of cinific n nginring srch 8 54:- srch ricl N: 94-6 CODNU: JB Mhmicl nlysis of wo pimic mols wih mporry immuniy Li Chhrz Dprmn of Mhmics Fculy of xc scincs Univrsiy frrs

More information

YUEH-NENG LIN Department of Finance, National Chung Hsing University tel: ; fax:

YUEH-NENG LIN Department of Finance, National Chung Hsing University   tel: ; fax: ricing VI r on Affin ochic Voliliy Mol wih imo -Dpnn mp oh in h & ric n Vrinc roc: vinc from Ingr hyicl n Rik-Nrl roiliy Mr YUH-NNG LIN Dprmn of innc Nionl hng Hing Univriy -mil: ynlin@rgon.nch..w l:886-4-85743;

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

LAPLACE TRANSFORMS AND THEIR APPLICATIONS

LAPLACE TRANSFORMS AND THEIR APPLICATIONS APACE TRANSFORMS AND THEIR APPICATIONS. INTRODUCTION Thi ubjc w nuncid fir by Englih Enginr Olivr Hviid (85 95) from oprionl mhod whil udying om lcricl nginring problm. Howvr, Hviid` rmn w no vry ymic

More information

The Financial Economics of Universal Life: An Actuarial Application of Stochastic Calculus. Abstract

The Financial Economics of Universal Life: An Actuarial Application of Stochastic Calculus. Abstract Th inancial Economic of Univral if: An Acuarial Applicaion of Sochaic Calculu. John Manir MMC Enrpri ik CE Plac, 161 ay Sr, PO ox 501 Torono, ON, M5J S5 Canaa Phon: 416 868-80 ax: 416 868-700 Email:john.manir@ca.mmrcr.com

More information

Bicomplex Version of Laplace Transform

Bicomplex Version of Laplace Transform Annd Kumr l. / Inrnionl Journl of Enginring nd Tchnology Vol.,, 5- Bicomplx Vrsion of Lplc Trnsform * Mr. Annd Kumr, Mr. Prvindr Kumr *Dprmn of Applid Scinc, Roork Enginring Mngmn Tchnology Insiu, Shmli

More information

Section 2: The Z-Transform

Section 2: The Z-Transform Scion : h -rnsform Digil Conrol Scion : h -rnsform In linr discr-im conrol sysm linr diffrnc quion chrcriss h dynmics of h sysm. In ordr o drmin h sysm s rspons o givn inpu, such diffrnc quion mus b solvd.

More information

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration. Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

Midterm. Answer Key. 1. Give a short explanation of the following terms.

Midterm. Answer Key. 1. Give a short explanation of the following terms. ECO 33-00: on nd Bnking Souhrn hodis Univrsi Spring 008 Tol Poins 00 0 poins for h pr idrm Answr K. Giv shor xplnion of h following rms. Fi mon Fi mon is nrl oslssl produd ommodi h n oslssl sord, oslssl

More information

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation Mching Inpu: undireced grph G = (V, E). Biprie Mching Inpu: undireced, biprie grph G = (, E).. Mching Ern Myr, Hrld äcke Biprie Mching Inpu: undireced, biprie grph G = (, E). Mflow Formulion Inpu: undireced,

More information

LaPlace Transform in Circuit Analysis

LaPlace Transform in Circuit Analysis LaPlac Tranform in Circui Analyi Obciv: Calcula h Laplac ranform of common funcion uing h dfiniion and h Laplac ranform abl Laplac-ranform a circui, including componn wih non-zro iniial condiion. Analyz

More information

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

More information

Generalized Half Linear Canonical Transform And Its Properties

Generalized Half Linear Canonical Transform And Its Properties Gnrlz Hl Lnr Cnoncl Trnorm An I Propr A S Guh # A V Joh* # Gov Vrh Inu o Scnc n Humn, Amrv M S * Shnkrll Khnlwl Collg, Akol - 444 M S Arc: A gnrlzon o h Frconl Fourr rnorm FRFT, h lnr cnoncl rnorm LCT

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

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

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

1. Be a nurse for 2. Practice a Hazard hunt 4. ABCs of life do. 7. Build a pasta sk

1. Be a nurse for 2. Practice a Hazard hunt 4. ABCs of life do. 7. Build a pasta sk Y M B P V P U up civii r i d d Wh clu dy 1. B nur fr cll 2. Prcic 999 3. Hzrd hun d 4. B f lif d cld grm 5. Mk plic g hzrd 6. p cmp ln 7. Build p k pck? r hi p Bvr g c rup l fr y k cn 7 fu dr, u d n cun

More information

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions

PS#4 due today (in class or before 3pm, Rm ) cannot ignore the spatial dimensions Topic I: Sysms Cll Biology Spaial oscillaion in. coli PS# u oay in class or bfor pm Rm. 68-7 similar o gnic oscillaors s bu now w canno ignor h spaial imnsions biological funcion: rmin h cnr of h cll o

More information

INTER-NOISE DECEMBER 2006 HONOLULU, HAWAII, USA

INTER-NOISE DECEMBER 2006 HONOLULU, HAWAII, USA INER-NOISE 6-6 DECEMBER 6 ONOLULU AWAII USA Murmn of rnmiion lo of mril uing ning wv u Oliviro Oliviri Brül & Kær Soun n irion Murmn A/S Skoorgv 7 DK-85 Nærum Dnmrk J. Sur Bolon wook Yoo c Ry W. rrick

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser Mr n FT Lcur 4CT.5 3CT.3-5,7,8 BME 333 Bimdicl Signls nd Sysms - J.Schssr 43 Highr Ordr Diffrniin d y d x, m b Y b X N n M m N M n n n m m n m n d m d n m Y n d f n [ n ] F d M m bm m X N n n n n n m p

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

PHA Final Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Final Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: UFI#: PHA 527 Finl Exm Fll 2008 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pls rnsfr h nswrs ono h bubbl sh. Pls fill in ll h informion ncssry o idnify yourslf. h procors

More information

Analysis of Remaining Uncertainties and Exponents under Various Conditional Rényi Entropies

Analysis of Remaining Uncertainties and Exponents under Various Conditional Rényi Entropies nlyi of Rmining Uncrini nd Exponn undr Vriou Condiionl Rényi Enropi Vincn Y F Tn, Snior mbr, IEEE, nd hio Hyhi, Snior mbr, IEEE rxiv:6050955v cit] 3 y 206 brc In hi ppr, w nlyz h ympoic of h normlizd rmining

More information

TOPIC 5: INTEGRATION

TOPIC 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 information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8 STAT W 6 Discussion Fll 7..-.- If h momn-gnring funcion of X is M X ( ), Find h mn, vrinc, nd pmf of X.. Suppos discr rndom vribl X hs h following probbiliy disribuion: f ( ) 8 7, f ( ),,, 6, 8,. ( possibl

More information

CSE 421 Algorithms. Warmup. Dijkstra s Algorithm. Single Source Shortest Path Problem. Construct Shortest Path Tree from s

CSE 421 Algorithms. Warmup. Dijkstra s Algorithm. Single Source Shortest Path Problem. Construct Shortest Path Tree from s CSE Alorihm Rihr Anron Dijkr lorihm Sinl Sor Shor Ph Prolm Gin rph n r r Drmin in o ry r rom Iniy hor ph o h r Epr onily hor ph r Eh r h poinr o pror on hor ph Conr Shor Ph Tr rom Wrmp - - I P i hor ph

More information

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704 Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 4, 7 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion

More information

Physics 2A HW #3 Solutions

Physics 2A HW #3 Solutions Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen

More information

Case Study VI Answers PHA 5127 Fall 2006

Case Study VI Answers PHA 5127 Fall 2006 Qustion. A ptint is givn 250 mg immit-rls thophyllin tblt (Tblt A). A wk ltr, th sm ptint is givn 250 mg sustin-rls thophyllin tblt (Tblt B). Th tblts follow on-comprtmntl mol n hv first-orr bsorption

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Chapter 4 Circular and Curvilinear Motions

Chapter 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 information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. PHA 527 Firs Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Qusion S/Poins I. 30 ps II. III. IV 20 ps 5 ps 5 ps V. 25 ps VI. VII. VIII. IX. 0 ps 0 ps 0 ps 35 ps

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

Your lifeline 365 days a year. A Year in Review

Your lifeline 365 days a year. A Year in Review Your liflin 365 r A Yr in Rviw Cllu or W rll n h Norh W Air Abulnc Chri, i uch n iporn rvic. I wouln b hr o if I hn bn kn o hopil o quickl. Cllu w on h w o work whn h c crhing off hi oorbik n foun hilf

More information

Section 3: Antiderivatives of Formulas

Section 3: Antiderivatives of Formulas Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin

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

Wireless & Hybrid Fire Solutions

Wireless & Hybrid Fire Solutions ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information