Bioeconomic modelling of a prey predator system using differential algebraic equations

Size: px
Start display at page:

Download "Bioeconomic modelling of a prey predator system using differential algebraic equations"

Transcription

1 MuliCrf Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 INTRNATIONAL JOURNAL OF NGINRING SCINC AN TCHNOLOGY MuliCrf Limied. All righs reserved Bioeconomic modelling of pre predor ssem using differenil lgebric equions T.. r nd unl Chkrbor b eprmen of Mhemics Bengl ngineering nd Science Universi Shibpur Howrh-7 b eprmen of Mhemics MCV Insiue of ngineering 4 G.T.Rod N Liluh Howrh-74 -mils: kr7@gmil.com T.. r Corresponding uhor; kc_mckv@hoo.co.in unl Chkrbor Absrc We propose biologicl economic model bsed on pre-predor dnmics where he pre species re coninuousl hrvesed nd predion is considered wih pe II funcionl response. The dnmic behvior of he proposed biologicl economic prepredor model is discussed. Coninuous pe gesionl del of predors is incorpored nd is effec on he dnmicl behvior of he model ssem is nled. Through considering del s bifurcion prmeer he occurrence of Hopf bifurcion of he proposed model ssem wih posiive economic profi is shown in he neighborhood of he co-eising equilibrium poin. Finll some numericl simulions re given o verif he nlicl resuls nd he ssem is nled hrough grphicl illusrions. ewords: Bioeconomics differenil lgebric ssem ime del Hopf bifurcion. Inroducion The pplicion of mhemicl biolog hs n immense impc owrds he developmen of commonl used biologicl resources like fisher wildlife nd foresr. Recenl Scieniss nd reserchers give emphsis on he inercion beween mhemics nd biolog which iniie new reserch re. Inercions of mhemics nd biolog cn be divided ino hree cegories. The firs clss involves rouine pplicion of eising mhemicl echniques o biologicl problems. Such pplicions influence mhemics onl when he impornce o biologicl pplicions requires furher developmens. In oher cses however eising mhemicl mehods re insufficien bu i is possible o develop new mhemics wihin he convenionl frmeworks. In he finl clss some fundmenl issues in biolog pper o require new houghs quniivel or nlicll. Mos of our biologicl heories evolve rpidl; herefore i is necessr o develop some useful mhemicl models o describe he consequences of hese biologicl ssems. I is observed h hese newl developed mhemicl models re significnl influenced hrough he biologicl heories in he ps nd he consequen epnsion of hose heories in recen ime. For his purpose differenil lgebric equions cn be considered s n imporn ool for he nlsis of biologicl model. A generl pre predor model consiss of he inercions beween species herefore he model includes compeiion evoluion nd dispersion beween he species for he purpose of seeking resources o susin heir sruggle for heir own eisence. r nd Msud 6 represened he ge of muri hrough ime del which leds o ssems of rerded funcionl differenil equions. The considered pre-predor model wih Holling pe of predion nd hrvesing of predor species nd observed h when he ime del is smll boh he pre nd predor populions rech periodic oscillions round he equilibrium in finie ime hen converges o heir equilibrium vlues nd in non-del cse hrvesing effor hs n effec of sbiliing he equilibrium. Broer e l. 5 invesiged wo-dimensionl predor-pre model wih five prmeers dped from he Volerr-Lok ssem b non monoonic response funcion. The described vrious domins of srucurl sbili nd heir bifurcions. The effec of consn re hrvesing on he dnmics of predor-pre ssems hs been invesiged b i nd Tng 998 Merscough e l. 99 nd io nd Run 999 nd he obined ver rich nd ineresing dnmicl behviours. Feng 7 considered differenil equion ssem wih diffusion nd ime dels which models he dnmics of predor-pre inercions wihin hree biologicl species.

2 4 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 Oros 4 presened forml frmework for he nlsis of Hopf bifurcions in del differenil equions wih single ime del. He deermined closed-form liner lgebric equions nd clculed he criicli of bifurcions b norml forms. Co nd Freedmn 996 obined he crierion of persisence nd globl rcivi for predor-pre model wih ime-del due o gesion. Yfi e l. 7 considered model wih one del nd unique non rivil equilibrium. The sudied he dnmics of he model in erms of he locl sbili nd of he descripion of he Hopf bifurcion non rivil equilibrium. The proved h del ken s prmeer of bifurcion crosses some criicl vlues nd deermined he direcion of he Hopf bifurcion nd he sbili or insbili of he bifurcing brnch of periodic soluions. r sudied Guss-pe pre predor model wih selecive hrvesing nd inroduce ime del in he hrvesing erm. He concluded in generl del differenil equions ehibi much more compliced dnmics hn ordinr differenil equions since ime del could cuse sble equilibrium o become unsble nd cuse he populion o flucue. Celik 9 considered rio dependen predor-pre ssem wih ime del where he dnmics is logisic wih he crring cpci proporionl o pre populion. Broer nd Giko nled he complee globl quliive of quric ecologicl model priculrl he sudied he globl bifurcions of singulr poins nd limi ccles. Zhng nd Zhng 9 ssemicll sudied hbrid predor pre economic model which is formuled b differenil-difference-lgebric equions. The proved h his model ehibis wo bifurcion phenomen he inersmpling insns. Lr nd Mrine 9 considered discreeime conrol dnmicl model wih uncerinies represening bioeconomic ssem proposed hrough sochsic vibili pproch o mnge nurl resources in susinble w due o uncerinies dnmics nd conflicing objecives ecologicl socil nd economicl. An efficien lgorihm for individul-bsed sochsic simulion of biologicl populions in coninuous ime presened b Allen nd hm 9. I is observed h numerous number of reserch ricles of he populion dnmics proposed he inercion beween he species nd he sbili nlsis of he populion in presence of hrvesing effor bu quie few number of ricles considered he bioeconomic models o invesige he dnmicl behvior of he ecossem owrds he posiive economic profi. Agin for he long run susinbili of he ecossem i is necessr o compre he sic s well s dnmicl effecs of hrvesing hrough considering he economic perspecive of he model ssem. Thus o formule biologicl economic ssem from n economic poin of view nd invesige he relisic sic nd dnmicl behvior of he model ssem we need o use differenil lgebric equions. Afer going hrough he bove lierure surve we cn no find n biologicl economic model ssem using differenil lgebric equions where pre populion is hrvesed nd he dnmicl behvior of such model ssem is sudied hrough considering se feedbck conroller. In his pper our objecive is o emine he dnmicl behvior of biologicl economic pre predor model where pre populion is hrvesed using differenil lgebric nd bifurcion heor. The coninuous gesion del of predor populion is lso incorpored in he model. We hve divided he pper in wo prs in he firs pr we consider he model ssem wih ero economic profi nd singulri induced bifurcion is obined he inerior equilibrium of he model ssem. To reduce he singulri induced bifurcion se feedbck conroller is designed. Bu in he second pr we consider he model ssem wih posiive economic profi nd he occurrence of Hopf bifurcion is found he inerior equilibrium poin hrough considering del s bifurcion prmeer. I is lso proved h he ime del cn cuse sble equilibrium o become unsble.. The model nd is quliive properies In his secion we consider pre-predor model wih Holling pe of predion nd coninuousl hrvesing of pre species he ecologicl se up of which is s follows. I is ssumed h he predor is no hrvesed nd hence hrvesing does no ffec he growh of he predor populion direcl. However i is considered h he predors hve compeiion mong hemselves for heir survivl. Agin here eiss conflic beween predors nd hrvesers for common resource i.e. pre species. The growh of pre is ssumed o be logisic. Le us ssume nd re respecivel he sie of he pre nd predor populion ime. Thus he consequen model becomes d d d d r h β d where r is he inrinsic growh re of he pre is he environmenl crring cpci of pre is he miml relive increse of predion is Michelis-Menen consn h is he hrvesing ime d is he deh re of predor he predor consumes pre he re β we ssume < β < since he whole biomss of he pre is no rnsformed o he biomss of he predor. ensi dependen morli re describes eiher self limiion of consumers or he influence of predion. is he inrspecific coefficien of he predor populion. Self limiion cn occur if here is some oher fcor oher hn food which becomes limiing high populion densiies.

3 5 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 The funcionl form of hrves is generll considered using he phrse cch-per-uni-effor CPU hpohesis Clrk 99 o describe n ssumpion h cch per uni effor is proporionl o he sock level. Thus we consider h q where is he hrvesing effor used o hrves pre populion nd q is he cchbili co-efficien of pre populion. The Anrcic krill-whle communi is good emple of he presen model. rill is min source of food of whles nd he Anrcic krill populion is being incresingl hrvesed. On he oher hnd he mororium imposed b IWC on killing of whles coninues. Lrge cches from he lower rophic level krill cn hve serious implicions for producion boh he lower rophic level krill nd he higher rophic level whle. I is herefore necessr o regule hrvesing he lower rophic level. Le us eend our model b considering he following lgebric equion - c - s where c is he consn fishing cos per uni effor p is he consn price per uni biomss of lnded fish nd s is he ol economic ren obined from he fisher. Thus using & ssem becomes d r q d d β d d - c - s 4 Le us now consider his hrvesed pre predor ssem wih coninuous ime del due o gesion. Here he predor populion consumes he pre populion consn re β bu he reproducion of predors fer preding he pre populion is no insnneous hus i will be incorpored b some ime lg required for gesion of predors. Suppose he ime inervl beween he momens when n individul pre is killed nd he corresponding biomss is dded o he predor populion is considered s he ime del. Le us ke he enire ps hisor of pre biomss which is o be mesured b ep where < is considered s priculr ime in he ps nd represens he presen ime. Thus he pre biomss in predor's equion is replced b he following form ep d. 5 Under his ssumpion he finl ssem becomes d r q d d β d d d d - c -s. 6 The differenil lgebric ssem 6 cn be epressed in he following w

4 6 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 r q f s β f s f s d f s g s - c - s where. Le us now consider wo cses seprel wih ero economic profi nd wih posiive economic profi.. The model wih ero economic profi For s he ssem 6 becomes d r q d d β d d d d - c. 7 quilibrium poins: eisence nd sbili The following lemm represens ll possible non negive equilibrium poins of ssem 7. Lemm Ssem 7 hs wo equilibrium poins P nd P for n posiive se of prmeers. The hird boundr ~ equilibrium poin P ~ ~ eiss if nd onl if c < where ~ c ~ c ~ cr r. The inerior equilibrium cd d cβ cr poin P of he ssem 7 eiss if c β > cd d nd r >. When hese condiions c re sisfied nd re given b c cd d cβ c From ssem 7 we hve he following mri M f f g r r q c The chrcerisic polnomil of he mri M is given b g c μ μ μ r q cr β d cd d cβ. c c β.

5 7 where r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 cq β d r c r r d r cq c 4r cq β r c rβ β rβ β d r c cq cq β. c rβ rβ β β 4r r The sbili of he boundr equilibrium poins P nd P of ssem 7 is given in he following lemm. Lemm The boundr equilibrium poin P is unsble nd P is locll smpoicll sble if β < d. The eigen vlues of he chrcerisic polnomil he boundr equilibrium poin P re d r. Thus he boundr equilibrium poin P is unsble. Agin he eigen vlues of he chrcerisic polnomil he boundr equilibrium poin d d β P re r. I is clerl observed h he boundr equilibrium poin P is sble if β < d. Le us now sud he dnmic behvior of he differenil lgebric model ssem 7. The locl sbili of he boundr equilibrium poin ~ ~ ~ P nd he inerior equilibrium poin P cn be invesiged using he singulri induced bifurcion phenomen. Here we re ineresed o discuss he locl sbili of he model ssem 7 he inerior equilibrium poin P hrough bifurcion phenomen. For his purpose ol economic ren is ssumed o be he bifurcion prmeer i.e. μ s. Consequenl we hve he following heorem Theorem The differenil lgebric ssem 7 hs singulri induced bifurcion he inerior equilibrium poin P. When he bifurcion prmeer s increses hrough ero he sbili of he inerior equilibrium poin P chnges from sble o unsble. Proof. I is eviden h g c hs simple ero eigen vlue. Thus we cn define Δ s g c. i I follows from Lemm h rce f dj g g P. ii I cn be proved using Lemm h

6 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp β β c d q q r g g f f p r P iii I cn lso be shown using Lemm h. Δ Δ Δ β β λ λ λ c d q q r g g g f f f p r p I is observed from i-iii h ll he condiions for singulri induced bifurcion Venksubrmnin e l. 995 re sisfied. Hence he differenil lgebric ssem 7 hs singulri induced bifurcion he inerior equilibrium poin P nd he bifurcion vlue is s. Agin i is noed h g g dj f rce M P. g f g g f f M p Δ Δ Δ λ λ λ Consequenl from Lemm we hve. > M M Hence i cn be concluded from Venksubrmnin e l. 995 h when s increses hrough ero one eigenvlue of he model ssem 7 moves from C o C long he rel is b diverging hrough. Consequenl he sbili of he model ssem 7 is influenced hrough his behvior i.e. he sbili of he ssem he inerior equilibrium poin P chnges from sble o unsble. In consequence o he bove heorem i is cler h he differenil lgebric model ssem 6 becomes unsble when he economic ineres of he hrvesing is considered o be posiive. If we consider economic perspecive of he fisher i is obvious h fisher gencies re ineresed owrds he posiive economic ren erned from he fisher. I is lso noed h n impulsive phenomenon cn occur hrough singulri induced bifurcion in pre predor ecossem which m led o he collpse of he susinble ecossem of he pre predor fisher. Therefore i is necessr o reduce he impulsive phenomenon from he pre predor ecossem o resume he susinbili of he ecossem nd sbilie he model ssem when posiive economic ineres is considered for fisher mngers. Thus o sbilie he model ssem 6 in cse of posiive economic ineres se feedbck conroller i 989 cn be designed of he form u w where u snds for ne feedbck gin. Le us inroduce he se feedbck conroller o he model ssem 6 nd rewrie model ssem s follows:

7 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp c - s u d d d d d q r d d β 8 Consequenl we hve he following heorem: Theorem The differenil lgebric model ssem 8 is sble he inerior equilibrium poin P of he model ssem 7 if. m > β r r r r u Proof. For he differenil lgebric model ssem 8 we cn obin he following Jcobin he inerior equilibrium poin P of he model ssem 7. β u r J p Therefore he chrcerisic polnomil of he mri J is given w w w μ μ μ where u r w u r u r w. β u r w

8 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 According o he Rouh Hurwi crierion i cn be concluded h he model ssem 8 is sble he inerior equilibrium poin P of he model ssem 7 if he ne feedbck gin u sisfies he following condiion: u > m r r. β r r Hence i is possible o elimine singulri induced bifurcion which is responsible for impulsive phenomenon in susinble ecossem using suibl designed ne feedbck gin. Agin he economic ineres of fisher mngers cn lso be chieved using he se feedbck conroller funcion i.e. he sbili cn be resumed for he model ssem 8 when posiive economic ineres is considered. 4. The model wih posiive economic profi In his secion we consider he model ssem wih posiive economic profi i.e. s. Here we invesige he ssem behvior for wo sepre cses wih nd wihou ime del. 4. The model wihou ime del The model ssem 6 wihou ime del cn be wrien s d r q d d β d d - c - s. The inerior equilibrium poin of he ssem 9 is P 9 β d s where nd sisfies he following equion c where C 4 4 r C C C C C C cr r r C d β cr cr r r qs C cd d cβ cr cr r qs 4 cd cr qs. C From ssem 9 we hve he following mri r c N β.

9 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 Thus he chrcerisic polnomil of he mri N P is given b μ b μ b r where b c β r b. c r We find h b > nd b > if >. c Hence he inerior equilibrium poin P of ssem 9 is smpoicll sble if r >. c In priculr if we consider inr-specific coefficiens of he predor populion is ero i.e. hen he inerior equilibrium of he model ssem 9 becomes P d where β d d r dr dr q ds sβ dq ds sβ r nd d β d β d β cd d cβ d β cd d cβ sβ ds. cd d cβ I is noed h for he eisence of he inerior equilibrium poin P i is necessr β > d cd d > cβ nd dr ps d β r >. β d β d cd d cβ In his priculr cse he chrcerisic polnomil of he mri N P is reduced o μ p μ p r where p c p > β r We find h p > if >. c. r Hence he inerior equilibrium poin P of ssem 9 is smpoicll sble if >. c

10 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 r d c d β d β d β Agin i is observed h for s s p nd hence he roos of he q c d β chrcerisic equion become purel imginr nd he re conjuge o ech oher. Also we hve d ds dq c d β [ rcen ]. P s s d c d β β Hence b he Hopf bifurcion heorem Hssrd e l. 98 he ssem 9 eners ino Hopf pe smll mpliude periodic soluion s s in bsence of ner he posiive inerior equilibrium poin P. 4. The model wih ime del In his secion we consider he model ssem 6. I is eviden h he coordines of he inerior equilibrium poin P ˆ ˆ ˆ ˆ of model ssem 6 is s follows: ˆ ˆ nd ˆ ˆ where ˆ sisfing he equion hus ˆ cn be evlued from equion. From he model ssem 6 we hve he following mri ˆˆ ˆ R ˆ r ˆ ˆ ˆ c ˆ ˆ ˆ ˆ β. ˆ Thus he chrcerisic polnomil of he mri R is given b μ d μ d μ d where ˆ ˆˆ ˆ ˆ d r ˆ ˆ ˆ c rˆ ˆ ˆ r ˆˆ ˆˆ ˆ ˆˆ d ˆ c ˆ ˆ c ˆˆβ r ˆˆ ˆˆ ˆ ˆˆ d. ˆ ˆ ˆ ˆ c r ˆ ˆ I is noed h d > nd d > if >. ˆ c ˆ Le us ssume A dd d. Then A ˆ ˆˆ ˆ

11 where r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 r ˆ 4 ˆ ˆ ˆ p q ˆ ˆ rˆ ˆ r ˆ ˆ ˆ ˆ c c ˆ ˆ r ˆˆ ˆˆ ˆˆ ˆ c ˆ 4 ˆ ˆ ˆ p q ˆ rˆ r ˆ r ˆ c ˆ c ˆ ˆ r ˆˆ ˆˆ ˆˆ ˆ ˆ c ˆ ˆ ˆˆ ˆ ˆ r ˆ ˆ ˆ c. ˆ ˆ ˆ ˆ ˆ 4 ˆ ˆ c ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ c ˆ 4 β ˆˆ ˆ ˆ Now we hve he following heorem which ensures he locl sbili of he inerior equilibrium poin P ˆ ˆ ˆ ˆ of he model ssem 6. Theorem If P ˆ ˆ ˆ ˆ r ˆ ˆ eiss wih > nd ˆ c > hen P ˆ ˆ ˆ ˆ is locll smpoicll sble. ˆ r ˆ ˆ Proof. The condiion > implies h d ˆ c > nd d >. Finll > implies ˆ h A d d d. Hence b Rouh Hurwi crierion he heorem follows. > Bifurcion nlsis Pre-predor models wih consn prmeers re ofen found o pproch sed se in which he species coeis in equilibrium. Bu if prmeers used in he model re chnged oher pes of dnmicl behvior m occur nd he criicl prmeer vlues which such rnsiions hppen re clled bifurcion poins. Now we nle he bifurcion of he model ssem 6 ssuming s he bifurcion prmeer. Theorem 4 ˆ If P ˆ ˆ ˆ ˆ r ˆ ˆ eiss wih > nd < hen simple Hopf bifurcion occurs he posiive ˆ c ˆ ˆ β unique vlue. Proof. The chrcerisic equion of he model ssem 6 P ˆ ˆ ˆ ˆ is given b μ d μ d μ d The equion hs wo purel imginr roos if nd onl if d d d for unique vlue of s which we hve Hopf bifurcion. Thus in he neighborhood of he chrcerisic equion cn' hve rel roos. For we hve μ d μ d. This equion hs wo purel imginr roos nd rel roo s μ i d μ i d nd μ d. The roos re of he following form μ p iq μ p iq nd μ d. To ppl Hopf bifurcion heorem s sed in Liu's crierion Liu994 we need o verif he rnsversli condiion

12 4 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 dp d. Subsiuing μ p iq in he equion nd differeniing he resuling equion w.r.. nd seing p nd q d we ge he rnsversli condiion s dp d d dd d d d d d d Thus from he epressions of d d nd d we find ˆ ˆ ˆ ˆˆ ˆ β v v ˆ ˆ ˆ dp ˆ > if < d ˆ ˆ v v ˆˆ vˆ ˆ ˆ β r ˆ ˆ where v. ˆ c ˆ. Thus i cn be concluded h he inerior equilibrium poin P ˆ ˆ ˆ ˆ is locll smpoicll sble for <. Furhermore ccording o he Liu's crierion simple Hopf bifurcion occurs equilibrium poin P ˆ ˆ ˆ ˆ pproches o periodic soluion. Hence he heorem follows. 5. Numericl simulions nd discussion nd for > he inerior In his secion we ssign numericl vlues o he prmeers of he model ssem 6 nd compue some simulions using hose vlues. For he purpose of simulion eperimens we minl use he sofwre MATLAB 7. nd MATHMATICA 5.. This secion cn be clssified ino wo cegories. Firs cegor consiss of he resuls where he ol economic profi is considered o be ero. In he second cegor numericl simulions re represened wih posiive economic profi. 5. Simulion when ol economic profi is ero In order o ensure he nlicl resul of heorem numericll le us ssign he following numericl vlues o he prmeers of he model ssem 6;.95 r β.75 q.5 d..5 p 5 c. I is noed h when s he inerior equilibrium poin of he model ssem 6 is P ˆ ˆ ˆ ˆ P Agin i is observed h when s -.he eigen vlues of he chrcerisic polnomil of he model ssem 6 re nd he eigen vlues become when s.. Therefore i is cler from he bove resul h when s increses hrough ero wo eigen vlues of he chrcerisic polnomil of he model ssem 6 remin sme bu one eigenvlue of he model ssem 6 moves from C o C long he rel is b diverging hrough. Hence he sbili of he model ssem 6 he inerior equilibrium poin P ˆ ˆ ˆ ˆ chnges from sble o unsble. To sbilie he model ssem 6 in cse of posiive economic ineres le us consider se feedbck conroller of he form w u.99 consequenl we hve go he differenil lgebric model ssem 8 s follows

13 5 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 d.95.5 d d d d d s u.99. I is possible o evlue he numericl vlue of ne feedbck gin from heorem. For he bove model ssem we hve go u > m Considering u 5 we find he inerior equilibrium poin of he model ssem 8 s when s nd he inerior equilibrium poin of he model ssem 8 becomes when s.. I is eviden from Figure& h he differenil lgebric model ssem 8 is clerl sble when s increses hrough ero i.e. singulri induced bifurcion phenomenon is elimined from he differenil lgebric model ssem 6 he inerior equilibrium poin when ne economic profi increses hrough ero..6.4 u 5 nd s Pre biomss Predor biomss.. & Figure. Vriion of pre nd predor biomss wih he incresing ime when u 5 nd s.

14 6 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp u 5 nd s. Pre biomss Predor biomss.. & Figure. Vriion of pre nd predor biomss wih he incresing ime when u 5 nd s.. 5. Simulion when ol economic profi is posiive In order o ensure he eisence of Hopf bifurcion le us consider he prmeers of he model ssem 6 s.6 r. β.8 q.5 6 d.5. p c s. Then he criicl vlue of he bifurcion prmeer If we consider he vlue of 7. hen i is observed from he figure& h P ˆ ˆ ˆ ˆ is locll smpoicll sble nd he populions nd converge o heir sed ses in finie ime. Now if we grdull increse he vlue of keeping oher prmeers fied hen b heorem we hve go criicl vlue such h P ˆ ˆ ˆ ˆ loses is sbili s psses hrough. Figure&4 clerl show he resul. I is lso noed h if we consider he vlue of 7.8 hen i is eviden from figure5&6 h he posiive equilibrium P ˆ ˆ ˆ ˆ is unsble nd here is periodic orbi ner P ˆ ˆ ˆ ˆ.

15 7 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp Pre biomss Predor biomss 5 & Figure. Vriion of pre nd predor biomss wih he incresing ime when 7. < Figure 4. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when 7. <.

16 8 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp Pre biomss Predor biomss 5 & Figure 5. Vriion of pre nd predor biomss wih he incresing ime when Figure 6. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when

17 9 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp Pre biomss Predor biomss 5 & Figure 7. Vriion of pre nd predor biomss wih he incresing ime when 7.8 > Figure 8. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when 7.8 >. The foresid Hopf bifurcion cn lso be illusred if we consider noher se of numericl vlues o he prmeers of he model ssem 6.

18 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 Le us consider he following se of prmeers:.8 r.5 β.8 q.5 4 d.. p.5 c s. For his se of prmeers he criicl vlue of he bifurcion prmeer.678. I is clerl observed h simple Hopf bifurcion occurs nd for > he inerior equilibrium poin P ˆ ˆ ˆ ˆ pproches o periodic soluion Pre biomss Predor biomss 4 5 & Figure 9. Vriion of pre nd predor biomss wih he incresing ime when < Figure. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when <.

19 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp Pre biomss Predor biomss 4 5 & Figure. Vriion of pre nd predor biomss wih he incresing ime when Figure. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when.678.

20 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp Pre biomss Predor biomss 4 5 & Figure. Vriion of pre nd predor biomss wih he incresing ime when.5 > Figure 4. Phse spce rjecories of pre nd predor biomss beginning wih differen iniil levels when.5 >. 6. Concluding remrks The pper nles he dnmicl behvior of pre predor model using differenil-lgebric ssems heor. In generl del differenil equions ehibi much more compliced dnmics hn ordinr differenil equions hus we hve sudied he

21 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 effecs of coninuous ime-del on he dnmics of pre predor ssem. I is found h singulri induced bifurcion kes plce when ne economic revenue of he fisher is considered o be posiive. In consequence o he foresid bifurcion n impulsive phenomenon occurs nd he ssem becomes unsble. The mos imporn relisic feure of he pper is he se feedbck conroller which is designed o sbilie he model ssem when posiive economic ren is ken ino considerion. Numericl simulions re used o show h se feedbck conroller cn be designed o resume he sbili of model ssem in cse of posiive economic profi. In he second pr of he pper we hve discussed he behvior of he model ssem wih posiive economic profi here we hve divided our discussion in wo prs wih nd wihou ime del. In cse of wihou ime del i is observed h hough he model ssem is sble bu i is possible o ge criicl vlue of ol economic profi so h he model ssem becomes unsble when ol economic profi psses hrough he criicl vlue nd he model ssem eners ino Hopf pe smll mpliude periodic soluion. I is noed h coninuous ime del lso pls n imporn role o he dnmics of he model ssem. I is eviden from he obined resuls h he ime del cn cuse sble equilibrium o become unsble nd even simple Hopf bifurcion occurs when he ime del psses hrough is criicl vlue. The enire sud of he pper is minl bsed on he deerminisic frmework. On he oher hnd i will be more relisic if i is possible o consider he model ssem in he sochsic environmen due o some ecologicl flucuions nd oher fcors. Thus fuure reserch problem would be considered in sochsic environmen. Agin o chieve he commercil purpose of he fisher i is lso possible o deermine opiml hrvesing sregies using gme heor. Acknowledgemen Reserch of T.. r is suppored b he Council of Scienific nd Indusril Reserch C S I R Indi Grn no. 56/ 8 / MR-II ded 7..8 References Allen G.A. nd hm C. 9. An efficien mehod for sochsic simulion of biologicl populions in coninuous ime BioSsems Vol. 98 No. pp Broer H.W. Nudo V. Roussrie R. Sleh. 5. Bifurcions of predor-pre model wih non monoonic response funcion C. R. Acd. Sci. Pris Ser. I Vol. 4 pp Broer H. W. nd Giko V. A.. Globl quliive nlsis of quric ecologicl model Nonliner Anlsis Vol. 7 No. pp Celik C. 9. Hopf bifurcion of rio-dependen predor-pre ssem wih ime del Chos Solions nd Frcls Vol. 4 pp Co Y. nd Freedmn H. I Globl rcivi in ime-deled predor-pre ssems J. Ausrl. Mh. Soc. Ser B Vol. 8 pp Clrk C. W. 99. Mhemicl bioeconomics: he opiml mngemen of renewble resources nd ed. John Wile nd Sons New York. i L Singulr conrol ssem Springer New York. i G. nd Tng M Coeisence region nd globl dnmics of hrvesed predor- pre ssem SIAM J. Appl. Mh. Vol. 58 No. pp. 9-. Hssrd B.. rinoff N.. nd Wn Y.H. 98. Theor nd pplicion of Hopf bifurcion Cmbridge universi press Cmbridge. Feng W. 7. nmics in -species predor-pre models wih ime dels iscree nd Coninuous nmicl Ssems Supplemen pp r T... Selecive hrvesing in pre-predor fisher wih ime del Mh. Compu. Model Vol. 8 No. ¾ pp r T.. nd Msud H. 6. Conrollbili of hrvesed pre-predor ssem wih ime del Journl of Biologicl Ssems Vol. 4 No. pp Lr M.. nd Mrine V. 9. Muli-crieri dnmic decision under uncerin: A sochsic vibili nlsis nd n pplicion o susinble fisher mngemen Mhemicl Biosciences Vol. 7 No. pp Liu W. M Crierion of Hopf bifurcions wihou using eigenvlues J. Mh. Anl. Appl. Vol. 8 No. pp Merscough M.R. Gr B.F. Hogrh W.L. nd Norbur J. 99. An nlsis of n ordinr differenil equion model for wo-species predor-pre ssem wih hrvesing nd socking J. Mh. Biol. Vol. No. 4 pp Oros G. 4. Hopf bifurcion clculions in deled ssems Periodic Polechnic Ser. Mech. ng. Vol. 48 No. pp Venksubrmnin V. Schler H. nd Zborsk J Locl bifurcions nd fesibili regions in differenil-lgebric ssems I Trns Auom Conrol Vol. 4 No. pp io. nd Run S Bogdnov-Tkens bifurcions in predor-pre ssems wih consn re hrvesing Fields Insiue Communicions Vol. pp

22 4 r nd Chkrbor / Inernionl Journl of ngineering Science nd Technolog Vol. No. pp. -4 Yfi R. Adnni F.. nd Aloui H.T. 7. Sbili of limi ccle in predor-pre model wih modified Leslie-Gower nd Holling-pe II schemes wih ime del Applied Mhemicl Sciences Vol. No. pp Zhng. nd Zhng Q.L 9. Bifurcion nlsis nd conrol of clss of hbrid biologicl economic models Nonliner Anlsis: Hbrid Ssems Vol. No. 4 pp Biogrphicl noes r. T.. r is n Associe Professor he eprmen of Mhemics Bengl ngineering nd Science Universi Shibpur in Indi. His reserch ineress include nmicl ssems sbili nd bifurcion heor populion dnmics mhemicl modeling in ecolog nd epidemiolog mngemen nd conservion of fisheries bioeconomic modeling of renewble resources. He wroe round 5 cdemic ppers on hose opics. He lso supervised severl sudens of mser nd docor degree. unl Chkrbor is Lecurer he eprmen of Mhemics MCV Insiue of ngineering Howrh in Indi. He is currenl doing his Ph.. under he guidnce of r. T.. r in he eprmen of Mhemics Bengl ngineering nd Science Universi Shibpur Indi. His reserch opic is Bio-economic modelling nd developmen of soluion echniques for he mngemen nd conservion of fisheries. He hs obined his pos grdue degree in Mhemics from he Universi of Burdwn in 6. Received Ocober 9 Acceped ecember 9 Finl ccepnce in revised form ecember 9

The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy

The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy Inernionl OPEN ACCESS Journl Of Modern Engineering Reserch (IJMER) The Dynmics of Two Hrvesing Species wih vrible Effor Re wih he Opimum Hrves Policy Brhmpl Singh; nd Professor Suni Gkkhr; Deprmen of Mhemics,

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

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION Ausrlin Journl of Bsic nd Applied Sciences, 6(6): -6, 0 ISSN 99-878 A Simple Mehod o Solve Quric Equions Amir Fhi, Poo Mobdersn, Rhim Fhi Deprmen of Elecricl Engineering, Urmi brnch, Islmic Ad Universi,

More information

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose Mhemicl nd Compuionl Applicions Vol. 7 o. pp. 56-67 O THE STABILITY O DELAY POPULATIO DYAMICS RELATED WITH ALLEE EECTS O. A. Gumus nd H. Kose Deprmen o Mhemics Selcu Universiy 47 Kony Turey ozlem@selcu.edu.r

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE

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

Controllability of an eco-epidemiological system with disease transmission delay: A theoretical study

Controllability of an eco-epidemiological system with disease transmission delay: A theoretical study Aville hp://pvmu.edu/m Appl. Appl. h. ISS: 9-9466 Vol. Issue June 5 pp. 8-4 Applicions nd Applied hemics: An Inernionl Journl AA Conrollili of n eco-epidemiologicl ssem wih disese rnsmission del: A heoreicl

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

1. Introduction. 1 b b

1. Introduction. 1 b b Journl of Mhemicl Inequliies Volume, Number 3 (007), 45 436 SOME IMPROVEMENTS OF GRÜSS TYPE INEQUALITY N. ELEZOVIĆ, LJ. MARANGUNIĆ AND J. PEČARIĆ (communiced b A. Čižmešij) Absrc. In his pper some inequliies

More information

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method IOSR Journl of Mhemics (IOSR-JM) e-issn: 78-578. Volume 5, Issue 3 (Jn. - Feb. 13), PP 6-11 Soluions for Nonliner Pril Differenil Equions By Tn-Co Mehod Mhmood Jwd Abdul Rsool Abu Al-Sheer Al -Rfidin Universiy

More information

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 10, No. 2, 2017, 335-347 ISSN 1307-5543 www.ejpm.com Published by New York Business Globl Convergence of Singulr Inegrl Operors in Weighed Lebesgue

More information

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

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

A Kalman filtering simulation

A Kalman filtering simulation A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer

More information

Available online at Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3):

Available online at   Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3): Avilble online www.pelgireserchlibrry.com Pelgi Reserch Librry Advnces in Applied Science Reserch 0 (): 5-65 ISSN: 0976-860 CODEN (USA): AASRFC A Mhemicl Model of For Species Syn-Ecosymbiosis Comprising

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

Estimating the population parameter, r, q and K based on surplus production model. Wang, Chien-Hsiung

Estimating the population parameter, r, q and K based on surplus production model. Wang, Chien-Hsiung SCTB15 Working Pper ALB 7 Esiming he populion prmeer, r, q nd K bsed on surplus producion model Wng, Chien-Hsiung Biologicl nd Fishery Division Insiue of Ocenogrphy Nionl Tiwn Universiy Tipei, Tiwn Tile:

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR j IAN KNOWLES 1. Inroducion Consider he forml differenil operor T defined by el, (1) where he funcion q{) is rel-vlued nd loclly

More information

3 Motion with constant acceleration: Linear and projectile motion

3 Motion with constant acceleration: Linear and projectile motion 3 Moion wih consn ccelerion: Liner nd projecile moion cons, In he precedin Lecure we he considered moion wih consn ccelerion lon he is: Noe h,, cn be posiie nd neie h leds o rie of behiors. Clerl similr

More information

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh. How o Prove he Riemnn Hohesis Auhor: Fez Fok Al Adeh. Presiden of he Srin Cosmologicl Socie P.O.Bo,387,Dmscus,Sri Tels:963--77679,735 Emil:hf@scs-ne.org Commens: 3 ges Subj-Clss: Funcionl nlsis, comle

More information

3. Renewal Limit Theorems

3. Renewal Limit Theorems Virul Lborories > 14. Renewl Processes > 1 2 3 3. Renewl Limi Theorems In he inroducion o renewl processes, we noed h he rrivl ime process nd he couning process re inverses, in sens The rrivl ime process

More information

0 for t < 0 1 for t > 0

0 for t < 0 1 for t > 0 8.0 Sep nd del funcions Auhor: Jeremy Orloff The uni Sep Funcion We define he uni sep funcion by u() = 0 for < 0 for > 0 I is clled he uni sep funcion becuse i kes uni sep = 0. I is someimes clled he Heviside

More information

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

f t f a f x dx By Lin McMullin f x dx= f b f a. 2 Accumulion: Thoughs On () By Lin McMullin f f f d = + The gols of he AP* Clculus progrm include he semen, Sudens should undersnd he definie inegrl s he ne ccumulion of chnge. 1 The Topicl Ouline includes

More information

A new model for solving fuzzy linear fractional programming problem with ranking function

A new model for solving fuzzy linear fractional programming problem with ranking function J. ppl. Res. Ind. Eng. Vol. 4 No. 07 89 96 Journl of pplied Reserch on Indusril Engineering www.journl-prie.com new model for solving fuzzy liner frcionl progrmming prolem wih rning funcion Spn Kumr Ds

More information

1.0 Electrical Systems

1.0 Electrical Systems . Elecricl Sysems The ypes of dynmicl sysems we will e sudying cn e modeled in erms of lgeric equions, differenil equions, or inegrl equions. We will egin y looking fmilir mhemicl models of idel resisors,

More information

Procedia Computer Science

Procedia Computer Science Procedi Compuer Science 00 (0) 000 000 Procedi Compuer Science www.elsevier.com/loce/procedi The Third Informion Sysems Inernionl Conference The Exisence of Polynomil Soluion of he Nonliner Dynmicl Sysems

More information

How to prove the Riemann Hypothesis

How to prove the Riemann Hypothesis Scholrs Journl of Phsics, Mhemics nd Sisics Sch. J. Phs. Mh. S. 5; (B:5-6 Scholrs Acdemic nd Scienific Publishers (SAS Publishers (An Inernionl Publisher for Acdemic nd Scienific Resources *Corresonding

More information

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008) MATH 14 AND 15 FINAL EXAM REVIEW PACKET (Revised spring 8) The following quesions cn be used s review for Mh 14/ 15 These quesions re no cul smples of quesions h will pper on he finl em, bu hey will provide

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

Solutions to Problems from Chapter 2

Solutions to Problems from Chapter 2 Soluions o Problems rom Chper Problem. The signls u() :5sgn(), u () :5sgn(), nd u h () :5sgn() re ploed respecively in Figures.,b,c. Noe h u h () :5sgn() :5; 8 including, bu u () :5sgn() is undeined..5

More information

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6. [~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries

More information

Lecture 8. Content: Limit cycles and oscillations. Realistic predator-prey dynamics. General comments about two-species interactions

Lecture 8. Content: Limit cycles and oscillations. Realistic predator-prey dynamics. General comments about two-species interactions Lecure 8 Biomhemics (FMAN1) Anders Källén Conen: Limi ccles nd oscillions 8.1-8.9A1-A2 Relisic predor-pre dnmics The Lok-olerr equions N = rn qpn P = pnp sp represened firs emp of modelling predor-pre

More information

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m PHYS : Soluions o Chper 3 Home Work. SSM REASONING The displcemen is ecor drwn from he iniil posiion o he finl posiion. The mgniude of he displcemen is he shores disnce beween he posiions. Noe h i is onl

More information

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS - TAMKANG JOURNAL OF MATHEMATICS Volume 5, Number, 7-5, June doi:5556/jkjm555 Avilble online hp://journlsmhkueduw/ - - - GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS MARCELA

More information

On the Pseudo-Spectral Method of Solving Linear Ordinary Differential Equations

On the Pseudo-Spectral Method of Solving Linear Ordinary Differential Equations Journl of Mhemics nd Sisics 5 ():136-14, 9 ISS 1549-3644 9 Science Publicions On he Pseudo-Specrl Mehod of Solving Liner Ordinry Differenil Equions B.S. Ogundre Deprmen of Pure nd Applied Mhemics, Universiy

More information

Chapter 2: Evaluative Feedback

Chapter 2: Evaluative Feedback Chper 2: Evluive Feedbck Evluing cions vs. insrucing by giving correc cions Pure evluive feedbck depends olly on he cion ken. Pure insrucive feedbck depends no ll on he cion ken. Supervised lerning is

More information

Chapter Direct Method of Interpolation

Chapter Direct Method of Interpolation Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

Tax Audit and Vertical Externalities

Tax Audit and Vertical Externalities T Audi nd Vericl Eernliies Hidey Ko Misuyoshi Yngihr Ngoy Keizi Universiy Ngoy Universiy 1. Inroducion The vericl fiscl eernliies rise when he differen levels of governmens, such s he federl nd se governmens,

More information

Temperature Rise of the Earth

Temperature Rise of the Earth Avilble online www.sciencedirec.com ScienceDirec Procedi - Socil nd Behviorl Scien ce s 88 ( 2013 ) 220 224 Socil nd Behviorl Sciences Symposium, 4 h Inernionl Science, Socil Science, Engineering nd Energy

More information

REAL ANALYSIS I HOMEWORK 3. Chapter 1

REAL ANALYSIS I HOMEWORK 3. Chapter 1 REAL ANALYSIS I HOMEWORK 3 CİHAN BAHRAN The quesions re from Sein nd Shkrchi s e. Chper 1 18. Prove he following sserion: Every mesurble funcion is he limi.e. of sequence of coninuous funcions. We firs

More information

NMR Spectroscopy: Principles and Applications. Nagarajan Murali Advanced Tools Lecture 4

NMR Spectroscopy: Principles and Applications. Nagarajan Murali Advanced Tools Lecture 4 NMR Specroscop: Principles nd Applicions Ngrjn Murli Advnced Tools Lecure 4 Advnced Tools Qunum Approch We know now h NMR is rnch of Specroscop nd he MNR specrum is n oucome of nucler spin inercion wih

More information

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples. Improper Inegrls To his poin we hve only considered inegrls f(x) wih he is of inegrion nd b finie nd he inegrnd f(x) bounded (nd in fc coninuous excep possibly for finiely mny jump disconinuiies) An inegrl

More information

MTH 146 Class 11 Notes

MTH 146 Class 11 Notes 8.- Are of Surfce of Revoluion MTH 6 Clss Noes Suppose we wish o revolve curve C round n is nd find he surfce re of he resuling solid. Suppose f( ) is nonnegive funcion wih coninuous firs derivive on he

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP UNIT # 09 PARABOLA, ELLIPSE & HYPERBOLA PARABOLA EXERCISE - 0 CHECK YOUR GRASP. Hin : Disnce beween direcri nd focus is 5. Given (, be one end of focl chord hen oher end be, lengh of focl chord 6. Focus

More information

MOVEMENT OF EQUILIBRIUM OF COURNOT DUOPOLY AND THE VISUALIZATION OF BIFURCATIONS OF ITS ADJUSTMENT DYNAMICS

MOVEMENT OF EQUILIBRIUM OF COURNOT DUOPOLY AND THE VISUALIZATION OF BIFURCATIONS OF ITS ADJUSTMENT DYNAMICS The Regionl Economics Applicions Loror (REAL) is cooperive venure eween he Universi of Illinois nd he Federl Reserve Bnk of Chicgo focusing on he developmen nd use of nlicl models for urn nd regionl economic

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

S Radio transmission and network access Exercise 1-2

S Radio transmission and network access Exercise 1-2 S-7.330 Rdio rnsmission nd nework ccess Exercise 1 - P1 In four-symbol digil sysem wih eqully probble symbols he pulses in he figure re used in rnsmission over AWGN-chnnel. s () s () s () s () 1 3 4 )

More information

Probability, Estimators, and Stationarity

Probability, Estimators, and Stationarity Chper Probbiliy, Esimors, nd Sionriy Consider signl genered by dynmicl process, R, R. Considering s funcion of ime, we re opering in he ime domin. A fundmenl wy o chrcerize he dynmics using he ime domin

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

Mathematics 805 Final Examination Answers

Mathematics 805 Final Examination Answers . 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se

More information

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays Applied Mahemaics 4 59-64 hp://dx.doi.org/.46/am..4744 Published Online July (hp://www.scirp.org/ournal/am) Bifurcaion Analysis of a Sage-Srucured Prey-Predaor Sysem wih Discree and Coninuous Delays Shunyi

More information

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains Green s Funcions nd Comprison Theorems for Differenil Equions on Mesure Chins Lynn Erbe nd Alln Peerson Deprmen of Mhemics nd Sisics, Universiy of Nebrsk-Lincoln Lincoln,NE 68588-0323 lerbe@@mh.unl.edu

More information

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π RESPONSE UNDER A GENERAL PERIODIC FORCE When he exernl force F() is periodic wih periodτ / ω,i cn be expnded in Fourier series F( ) o α ω α b ω () where τ F( ) ω d, τ,,,... () nd b τ F( ) ω d, τ,,... (3)

More information

Systems Variables and Structural Controllability: An Inverted Pendulum Case

Systems Variables and Structural Controllability: An Inverted Pendulum Case Reserch Journl of Applied Sciences, Engineering nd echnology 6(: 46-4, 3 ISSN: 4-7459; e-issn: 4-7467 Mxwell Scienific Orgniion, 3 Submied: Jnury 5, 3 Acceped: Mrch 7, 3 Published: November, 3 Sysems Vribles

More information

LAPLACE TRANSFORM OVERCOMING PRINCIPLE DRAWBACKS IN APPLICATION OF THE VARIATIONAL ITERATION METHOD TO FRACTIONAL HEAT EQUATIONS

LAPLACE TRANSFORM OVERCOMING PRINCIPLE DRAWBACKS IN APPLICATION OF THE VARIATIONAL ITERATION METHOD TO FRACTIONAL HEAT EQUATIONS Wu, G.-.: Lplce Trnsform Overcoming Principle Drwbcks in Applicion... THERMAL SIENE: Yer 22, Vol. 6, No. 4, pp. 257-26 257 Open forum LAPLAE TRANSFORM OVEROMING PRINIPLE DRAWBAKS IN APPLIATION OF THE VARIATIONAL

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

1 jordan.mcd Eigenvalue-eigenvector approach to solving first order ODEs. -- Jordan normal (canonical) form. Instructor: Nam Sun Wang

1 jordan.mcd Eigenvalue-eigenvector approach to solving first order ODEs. -- Jordan normal (canonical) form. Instructor: Nam Sun Wang jordnmcd Eigenvlue-eigenvecor pproch o solving firs order ODEs -- ordn norml (cnonicl) form Insrucor: Nm Sun Wng Consider he following se of coupled firs order ODEs d d x x 5 x x d d x d d x x x 5 x x

More information

Think of the Relationship Between Time and Space Again

Think of the Relationship Between Time and Space Again Repor nd Opinion, 1(3),009 hp://wwwsciencepubne sciencepub@gmilcom Think of he Relionship Beween Time nd Spce Agin Yng F-cheng Compny of Ruid Cenre in Xinjing 15 Hongxing Sree, Klmyi, Xingjing 834000,

More information

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x) Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =

More information

IX.2 THE FOURIER TRANSFORM

IX.2 THE FOURIER TRANSFORM Chper IX The Inegrl Trnsform Mehods IX. The Fourier Trnsform November, 7 7 IX. THE FOURIER TRANSFORM IX.. The Fourier Trnsform Definiion 7 IX.. Properies 73 IX..3 Emples 74 IX..4 Soluion of ODE 76 IX..5

More information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak .65, MHD Theory of Fusion Sysems Prof. Freidberg Lecure 9: The High e Tokmk Summry of he Properies of n Ohmic Tokmk. Advnges:. good euilibrium (smll shif) b. good sbiliy ( ) c. good confinemen ( τ nr )

More information

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic Journl of Applied Mhemics & Bioinformics, vol.2, no.2, 2012, 1-10 ISSN: 1792-6602 prin, 1792-6939 online Scienpress Ld, 2012 Applicion on Inner Produc Spce wih Fixed Poin Theorem in Probbilisic Rjesh Shrivsv

More information

A new model for limit order book dynamics

A new model for limit order book dynamics Anewmodelforlimiorderbookdynmics JeffreyR.Russell UniversiyofChicgo,GrdueSchoolofBusiness TejinKim UniversiyofChicgo,DeprmenofSisics Absrc:Thispperproposesnewmodelforlimiorderbookdynmics.Thelimiorderbookconsiss

More information

THREE IMPORTANT CONCEPTS IN TIME SERIES ANALYSIS: STATIONARITY, CROSSING RATES, AND THE WOLD REPRESENTATION THEOREM

THREE IMPORTANT CONCEPTS IN TIME SERIES ANALYSIS: STATIONARITY, CROSSING RATES, AND THE WOLD REPRESENTATION THEOREM THR IMPORTANT CONCPTS IN TIM SRIS ANALYSIS: STATIONARITY, CROSSING RATS, AND TH WOLD RPRSNTATION THORM Prof. Thoms B. Fomb Deprmen of conomics Souhern Mehodis Universi June 8 I. Definiion of Covrince Sionri

More information

Neural assembly binding in linguistic representation

Neural assembly binding in linguistic representation Neurl ssembly binding in linguisic represenion Frnk vn der Velde & Mrc de Kmps Cogniive Psychology Uni, Universiy of Leiden, Wssenrseweg 52, 2333 AK Leiden, The Neherlnds, vdvelde@fsw.leidenuniv.nl Absrc.

More information

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX Journl of Applied Mhemics, Sisics nd Informics JAMSI), 9 ), No. ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX MEHMET ZEKI SARIKAYA, ERHAN. SET

More information

For the reaction, R P, the is given by,

For the reaction, R P, the is given by, Dr JADU SAMUEL CHEMICAL KINETICS Inroducion Chemicl ineics is brnch of physicl chemisry, which dels wih he sudy of he re of chemicl recions nd he vrious fcors ffecing i Such sudies lso enble us o elucide

More information

A MATHEMATICAL MODEL OF FOUR SPECIES SYN-ECOSYMBIOSIS COMPRISING OF PREY-PREDATION, MUTUALISM AND COMMENSALISMS-I (FULLY WASHED OUT STATE)

A MATHEMATICAL MODEL OF FOUR SPECIES SYN-ECOSYMBIOSIS COMPRISING OF PREY-PREDATION, MUTUALISM AND COMMENSALISMS-I (FULLY WASHED OUT STATE) VOL. 6, NO. 4, APRIL 0 ISSN 89-6608 ARPN Jornl of Engineering nd Applied Sciences 006-0 Asin Reserch Pblishing Nework (ARPN). All righs reserved. www.rpnjornls.com A MATHEMATICAL MODEL OF FOUR SPECIES

More information

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions ISSNOnline : 39-8753 ISSN Prin : 347-67 An ISO 397: 7 Cerified Orgnizion Vol. 5, Issue 5, My 6 A Time Trunced Improved Group Smpling Plns for Ryleigh nd og - ogisic Disribuions P.Kvipriy, A.R. Sudmni Rmswmy

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

CBSE 2014 ANNUAL EXAMINATION ALL INDIA

CBSE 2014 ANNUAL EXAMINATION ALL INDIA CBSE ANNUAL EXAMINATION ALL INDIA SET Wih Complee Eplnions M Mrks : SECTION A Q If R = {(, y) : + y = 8} is relion on N, wrie he rnge of R Sol Since + y = 8 h implies, y = (8 ) R = {(, ), (, ), (6, )}

More information

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle J. Mh. Anl. Appl. 353 009) 43 48 Conens liss vilble ScienceDirec Journl of Mhemicl Anlysis nd Applicions www.elsevier.com/loce/jm Two normliy crieri nd he converse of he Bloch principle K.S. Chrk, J. Rieppo

More information

New Energy-Preserving Finite Volume Element Scheme for the Korteweg-de Vries Equation

New Energy-Preserving Finite Volume Element Scheme for the Korteweg-de Vries Equation IAENG Inernionl Journl of Applied Mhemics, 47:, IJAM_47 3 New Energy-Preserving Finie Volume Elemen Scheme for he Koreweg-de Vries Equion Jin-ling Yn nd Ling-hong Zheng Absrc In his pper, n -preserving

More information

The order of reaction is defined as the number of atoms or molecules whose concentration change during the chemical reaction.

The order of reaction is defined as the number of atoms or molecules whose concentration change during the chemical reaction. www.hechemisryguru.com Re Lw Expression Order of Recion The order of recion is defined s he number of oms or molecules whose concenrion chnge during he chemicl recion. Or The ol number of molecules or

More information

An analytic solution for one-dimensional quantum walks

An analytic solution for one-dimensional quantum walks An nlyic soluion for one-dimensionl qunum wlks In Fuss, Lng Whie, Peer Shermn nd Snjeev Nguleswrn. School of Elecricl nd Elecronic Engineering, Universiy of Adelide, Ausrli. Deprmen of Aerospce Engineering,

More information

ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS

ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS Hceepe Journl of Mhemics nd Sisics Volume 45) 0), 65 655 ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS M Emin Özdemir, Ahme Ock Akdemir nd Erhn Se Received 6:06:0 : Acceped

More information

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points)

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points) Delf Universiy of Technology Fculy of Civil Engineering nd Geosciences Srucurl echnics Secion Wrie your nme nd sudy numer he op righ-hnd of your work. Exm CT5 Theory of Elsiciy Fridy Ocoer 00, 9:00 :00

More information

Abstract. W.W. Memudu 1 and O.A. Taiwo, 2

Abstract. W.W. Memudu 1 and O.A. Taiwo, 2 Theoreicl Mhemics & Applicions, vol. 6, no., 06, 3-50 ISS: 79-9687 prin, 79-9709 online Scienpress d, 06 Eponenilly fied collocion pproimion mehod for he numericl soluions of Higher Order iner Fredholm

More information

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX.

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX. ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX. MEHMET ZEKI SARIKAYA?, ERHAN. SET, AND M. EMIN OZDEMIR Asrc. In his noe, we oin new some ineuliies

More information

Positive and negative solutions of a boundary value problem for a

Positive and negative solutions of a boundary value problem for a Invenion Journl of Reerch Technology in Engineering & Mngemen (IJRTEM) ISSN: 2455-3689 www.ijrem.com Volume 2 Iue 9 ǁ Sepemer 28 ǁ PP 73-83 Poiive nd negive oluion of oundry vlue prolem for frcionl, -difference

More information

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media Mlysin Journl of Mhemicl Sciences 1(S) Februry: 219 226 (216) Specil Issue: The 3 rd Inernionl Conference on Mhemicl Applicions in Engineering 214 (ICMAE 14) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES

More information

Necessary and Sufficient Conditions for Asynchronous Exponential Growth in Age Structured Cell Populations with Quiescence

Necessary and Sufficient Conditions for Asynchronous Exponential Growth in Age Structured Cell Populations with Quiescence JOURNAL OF MATEMATICAL ANALYSIS AND APPLICATIONS 25, 49953 997 ARTICLE NO. AY975654 Necessry nd Sufficien Condiions for Asynchronous Exponenil Growh in Age Srucured Cell Populions wih Quiescence O. Arino

More information

Abdul-Aziz Yakubu. Department of Mathematics Howard University Washington, D.C

Abdul-Aziz Yakubu. Department of Mathematics Howard University Washington, D.C Impc of Periodic nd Consn Proporion Hrvesing Policies On TAC-Reguled Fisheries Sysems Abdul-Aziz Ykubu Deprmen of Mhemics Howrd Universiy Wshingon, D.C. 20059 ykubu@howrd.edu Collborors Jon Conrd, Ninpeng

More information

1 Sterile Resources. This is the simplest case of exhaustion of a finite resource. We will use the terminology

1 Sterile Resources. This is the simplest case of exhaustion of a finite resource. We will use the terminology Cmbridge Universiy Press 978--5-8997-7 - Susinble Nurl Resource Mngemen for Scieniss nd Engineers Excerp More informion Serile Resources In his chper, we inroduce he simple concepion of scrce resource,

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Yan Sun * 1 Introduction

Yan Sun * 1 Introduction Sun Boundry Vlue Problems 22, 22:86 hp://www.boundryvlueproblems.com/conen/22//86 R E S E A R C H Open Access Posiive soluions of Surm-Liouville boundry vlue problems for singulr nonliner second-order

More information

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment Mgneosics Br Mgne As fr bck s 4500 yers go, he Chinese discovered h cerin ypes of iron ore could rc ech oher nd cerin mels. Iron filings "mp" of br mgne s field Crefully suspended slivers of his mel were

More information

Boundedness and Stability of Solutions of Some Nonlinear Differential Equations of the Third-Order.

Boundedness and Stability of Solutions of Some Nonlinear Differential Equations of the Third-Order. Boundedness Sabili of Soluions of Some Nonlinear Differenial Equaions of he Third-Order. A.T. Ademola, M.Sc. * P.O. Arawomo, Ph.D. Deparmen of Mahemaics Saisics, Bowen Universi, Iwo, Nigeria. Deparmen

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2 ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen

More information

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals Sud. Univ. Beş-Bolyi Mh. 6(5, No. 3, 355 366 Hermie-Hdmrd-Fejér ype inequliies for convex funcions vi frcionl inegrls İmd İşcn Asrc. In his pper, firsly we hve eslished Hermie Hdmrd-Fejér inequliy for

More information

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

TEACHING STUDENTS TO PROVE BY USING ONLINE HOMEWORK Buma Abramovitz 1, Miryam Berezina 1, Abraham Berman 2

TEACHING STUDENTS TO PROVE BY USING ONLINE HOMEWORK Buma Abramovitz 1, Miryam Berezina 1, Abraham Berman 2 TEACHING STUDENTS TO PROVE BY USING ONLINE HOMEWORK Bum Armoviz 1, Mirym Berezin 1, Arhm Bermn 1 Deprmen of Mhemics, ORT Brude College, Krmiel, Isrel Deprmen of Mhemics, Technion IIT, Hf, Isrel Asrc We

More information

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1.

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1. Answers o Een Numbered Problems Chper. () 7 m s, 6 m s (b) 8 5 yr 4.. m ih 6. () 5. m s (b).5 m s (c).5 m s (d) 3.33 m s (e) 8. ().3 min (b) 64 mi..3 h. ().3 s (b) 3 m 4..8 mi wes of he flgpole 6. (b)

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

THE COMBINED FORECASTING MODEL OF GRAY MODEL BASED ON LINEAR TIME-VARIANT AND ARIMA MODEL

THE COMBINED FORECASTING MODEL OF GRAY MODEL BASED ON LINEAR TIME-VARIANT AND ARIMA MODEL IJRRAS 6 (3) Sepember 03 www.rppress.com/volumes/vol6issue3/ijrras_6_3_0.pdf THE COMINED FORECASTING MODEL OF GRAY MODEL ASED ON LINEAR TIME-VARIANT AND ARIMA MODEL Xi Long,, Yong Wei, Jie Li 3 & Zho Long

More information

Motion in a Straight Line

Motion in a Straight Line Moion in Srigh Line. Preei reched he mero sion nd found h he esclor ws no working. She wlked up he sionry esclor in ime. On oher dys, if she remins sionry on he moing esclor, hen he esclor kes her up in

More information

..,..,.,

..,..,., 57.95. «..» 7, 9,,. 3 DOI:.459/mmph7..,..,., E-mil: yshr_ze@mil.ru -,,. -, -.. -. - - ( ). -., -. ( - ). - - -., - -., - -, -., -. -., - - -, -., -. : ; ; - ;., -,., - -, []., -, [].,, - [3, 4]. -. 3 (

More information