Halley s Comet Project. Calculus III
|
|
- Bernadette Marianna Mathews
- 7 years ago
- Views:
Transcription
1 Hlle s Come Projec Clculus III Come Hlle from Moun Wlson, 1986 "The dvers of he phenomen of nure s so gre, nd he resures hdden n he hevens so rch, precsel n order h he humn mnd shll never be lcng n fresh nourshmen." ohnnes Kepler Ths erm we wll sud Hlle s Come, s poson s funcon of me, nd Kepler s Second Lw of plner moon. I wll hnd ou weel problems, whch I cll H problems. You wll hnd hese problems bc o me, he wll be grded, nd hnded bc o ou. You wll collec hese problems nd wll summrze he resuls he end of he erm n projec repor.
2 Hlle s Come Projec Clculus III Ths erm we wll sud he orb of Hlle s Come nd s poson s funcon of me. I wll hnd ou weel problems I wll cll H problems. We wll use power seres o esme he locons of he come vrous mes durng he 76 ers es o orb he Sun. You wll summrze he resuls of hese problems he end of he erm n projec repor. Edmond Hlle's Come In 175 Edmnnd Hlle predced, usng Newon s newl formuled lws of moon, h he comes seen n 1531, 167, nd 168 re ll he sme come nd would reurn n 1758 whch ws, ls, fer hs deh. The come dd ndeed reurn s predced nd ws ler nmed n hs honor. The verge perod of Hlle's orb s 76 ers. Come Hlle ws vsble n 191 nd gn n Is ne pssge wll be n erl 6. Comes, le ll plnes, orb he Sun n ellpc orbs, bu her orbs re ver eccenrc he mjor s s much lrger hn he mnor s. The pon where he come s closes o he Sun s clled perhelon, nd he pon where s he frhes s clled phelon see he fgure n he refresher shee ched. A phelon n 1948, he come ws 35.5 AU from he Sun, whle perhelon on Februr 9, 1986, ws onl.5871 AU from he Sun. An sronomcl un AU s he sem-mjor s for Erh, whch s bou 93 mllon mles. The ellpse s sem-mjor s s, whle s sem-mnor s s b. The eccenrc, he mesure of s elongon, s e nd s gven b e b 1, whch cn be solved for b o gve b 1 e. Eccenrc s beween nd 1. For crculr orb e, nd for ver elonged orb e s close o 1. The dsnce from he cener of he ellpse o eher focl pon s e. We wll le desgne Februr Wh hs convenon s Februr 6, nd 76 s Februr 6 when he come wll reurn o perhelon gn. The orbs of he Erh, Urnus, Nepune nd Hlle s Come Close up vew of he orb of Erh nd Hlle s Come
3 Refresher on Prmerc Equons of Conc Secons Prmerc equon of crcle r cener,, perod π sn cos Prmerc equon of n ellpse, mjor s, mnor s b, cener,, perod π sn cos b As bove, bu shf cener o, h h sn cos As bove, bu shf cener o, h b h sn cos As bove, bu chnge perod o B B h B sn cos π π As bove, bu chnge perod o B B b h B sn cos π π Prmerc equon of n ellpse, mjor s, mnor s b, eccenrc e, cener e, sn 1 cos B e e B π π b.e Aphelon Perhelon Plne moves slower Plne moves fser
4 Problem H1 Wre he prmerc equon of crculr orb wh rdus cenered he orgn wh prmeer, nd n orbl perod of. The plne s,.your nswer wll nvolve sne nd cosne funcons. b Wre he prmerc equon of n ellpc orb wh mjor s long he - s, mnor s b long he -s. The ellpse s cenered, wh prmeer, nd n orbl perod. The plne s poson should be, c Shf he ellpse n b lef so h he orgn s he rgh focl pon. Noe h he dsnce from cener o ech focl pon s e, where e s he eccenrc of he ellpse see Refresher. Wre he equon for hs orb. Your equons should be n erms of, b, e nd d The orb of Hlle s Come hs he followng vlues e AU ers, b 1 e AU AU s n sronomcl un whch s he verge dsnce from he Sun o he Erh for Erh.
5 Kepler s Lw ses h he lne connecng he Sun o he plnes or comes sweeps equl res n equl me. The equon n c gnores hs lw nd wll, herefore, gve he correc orb, bu ncorrec locons for Hlle s Come. We wll see n Problem H how o fnd he correc posons. If Hlle s Come s perhelon Feb. 1986, fnd he ncorrec locon of hs plne usng he equon n c he gven mes below. Pu our nswer n ordered prs, nd use hree decml plces. Perhelon s when he plne s closes o he Sun for our problem hs s e, me n ers Incorrec locons Feb Feb Feb 6 e Grph he ellpc orb nd loce he bove locons on our grph. Use MAPLE, nd ch our grph. Ths s n emple of how ou cn plo he orb of plne nd plce he plne's posons on he orb usng MAPLE. > whplos > f->*cos*p*/1-*e; g->b*sn*p*/1; > 1.5 b1. e.6 13 > p1plo[f,g,..3],-3..3,-..,sclngconstrained, cmrs[-1,1],cmrs[-1,1] pponplo{[f.15,g.15],[f.5,g.5]},smbolcircle, colorblc,sclngconstrained dspl{p1,p};
6 Problem H ohnn Kepler n 169 dscovered h plnes nd comes orb he Sun n ellpc orbs nd h her orbl veloc s no consn bu vres. The followng summrzes Kepler s frs wo lws See Fgure 1 The plnes orb he Sun n ellpc orbs wh he Sun one of he focl pons. The lne jonng he Sun o plne sweeps ou equl res n equl me. Hs second lw smpl sd mens h plnes slow down when he re frher from he Sun, nd speed up when he re closer. Snce he lne jonng he Sun o he plne s shorer when he plne s closer, he lengh of he orb rveled b he plne n gven nervl of me would be lrger o me he res swep equl. Plne moves slower Plne moves fser b.e Aphelon Perhelon For crculr orb he eccenrc e s zero, bu s he orb ges more eccenrc elonged, e pproches 1. The pon of he orb closes o he Sun s clled perhelon, nd he pon frhes s clled phelon. To smplf he clculons for hs problem, whou loss of generl, we wll plce he orgn he focl pon where he Sun resdes, he -s long he mjor s. The lengh of he mjor s s, nd h of he mnor s s b. The cener of he ellpse s hen, e. We wll lso le me equl zero when nd he plne s perhelon. Wh hese ssumpons, he prmerc equons of he orb of plne re π cos e π b sn or π cos e π 1 e sn 1
7 Where s he orbl perod n Erh ers. Noe h when e, he bove equons urns no he prmerc equons of crcle wh cener he orgn. Equon 1 does no ccoun for Kepler s Second Lw I ssumes n lmos consn veloc. To ccoun for h Kepler develed he followng equon clled Kepler s Equon π E e sn E For gven me, ou frs solve for E from nd hen plug E n equon 1 nsed π of cos E e 1 e sn E 3 The vrble E s clled eccenrc noml, whle he epresson π s clled men noml. Noe h for crculr orb when e, hese wo re he sme, bu s e ges closer o 1, hese wo wll be dfferen. Equon 3 wll gve he correc poson of he come gven me. The onl problem wh hs s h becuse equon s n mplc equon n E, nd cnno be solved for E, ou mus solve for E usng numercl echnque. Forunel our TI clculor nd MAPLE hve SOLVE commnds o do hs for us solve equon n, for TI nd MAPLE We wll sud echnques o pprome E s funcon of n eplc form n problems H3 nd H4. Ths wll gve us E n epresson n whch we wll hen plug no 3 for E s n epresson. For problem H le equl he vlues n he ble below, solve for E from usng he solver commnd on our clculor or MAPLE me sure our clculor s n rdn mode. Now use 3 o fnd he correc locons for Hlle s Come. Wre he locon n ordered prs,, nd crr our resuls o hree decml plces.
8 Tme n ers Vlue of E Correc locons of he come Feb Feb Feb 6... b Plo he orb nd loce hese locons s ou dd n Problem H1. c Observe he dfference n hese locons nd h n Problem H1 nd summrze wh shor semen.
9 Problem H3 We sw n problem H h o fnd he correc locons of Hlle s Come we hd o solve he followng mplc equon for E eccenrc noml π E e sn E, 1 nd hen plug he vlue of E no he orbl equon for Hlle s Come gven b cos E e 1 e sn E Implc equons re no ver convenen when scens wn o predc he locon of plnes nd comes n he s, or wn o desgn spcecrf o lnd on or fl b hese celesl objecs. I s mporn o fnd n eplc epresson for E s funcon of me, E some epresson n, h we cn plug drecl n he rgumens of he cosne nd sne funcons n. In hs H problem nd he ne we wll sud power seres h wll pprome E s n eplc funcon of. Frs, we need o sud Bessel funcons before we cn proceed. Bessel funcons, le sn, cos, nd ln funcons, re clled rnscendenl funcons nd cn be presened eplcl onl b power seres. The re wren s, 1,, 3,... The subscrp gves he order of he funcon he bove re Bessel funcons of order, order 1, order, order 3,.. Bessel funcon of order s he soluon o he followng dfferenl equon,,1,, 3, For emple, s he soluon o. In Chper 7 we wll sud dfferenl equons, nd n secon 8.1 nd ler H problem we wll lern echnques o solve hese dfferenl equons. The soluons o hese dfferenl equons re gven b he power seres
10 ...!! 1 1!! 1! Wre generl power seres for Bessel funcon of order. Wre he frs four erms of he power seres of ech Bessel funcons n 4, n ec form, nd end ech wh o ndce nfne seres. Leve he denomnors n fcorl nd power form le 5!3! o show he perns DO NOT EXPAND THESE INTO LARGE NUMBERS 3 1
11 3 Turn he summons n equon 4 bove o prl sums, nd choose n for he upper lm of he sums n such h he prl sums wll gve Tlor polnomls T, T1, T, nd T 3 for, 1,, nd 3, respecvel n.. 4 Ener he Tlor polnomls T, T, T, nd T ppromons 1 3, 1,, nd 3 for, respecvel, no MAPLE worshee or our clculor [he commnd s sum,.. n; for MAPLE nd...,,, n for TI ]. Plo hese four funcons on he sme se of es on he wndow [,1], [ 1,1] nd ch our grphs. 5 MAPLE nows hese funcons s Bessel,, where s he order nd he ndependen vrble. For emple Bessel, s. Your clculors unforunel don hve Bessel funcons n her clogue. Use MAPLE o grph hrough 3 on he sme se of es nd on he sme wndows s n 4 nd ch he grphs. 6 Wre shor semen s o how he prl sum of he seres form of Bessel funcons nd MAPLE s Bessel funcons compre. Where re he smlr, where re he dfferen.
12 Problem H4 We sw n problems H nd H3 h o fnd he correc locons of Hlle s Come we hd o numercll solve he followng mplc equon for E eccenrc noml π E e sn E, 1 nd hen plug he vlue of E no he orbl equon for Hlle s Come gven b cos E e 1 e sn E. In order o vod hvng o solve he mplc equon 1 numercll, sronomers nd mhemcns hve develed soluon for he eccenrc noml E s n eplc funcon of, whch s power seres form gven b π e E π sn 1. 3 In 3, e s he Bessel funcon of order h we suded n H3 wh rgumens e, e, 3e,.... Noe h e self s rnscendenl funcon nd hs power seres epnson. You wll use MAPLE o do hs problem. See he noe below f ou would le o use our clculor. You cn ener hs power seres s wren n 3 no MAPLE usng Bessel, sn n MAPLE for e. Noe h s he order, nd s he rgumen, whch s e here. 1Wh e. 97 for Hlle s Come, use MAPLE o fnd he pprome decml vlues for he erms 1 e, e, 3 3e, 4 4e, nd wre π / 76 plus he frs four erms of he power seres for E n 3, hen end wh o ndce nfne seres. Leve he erm π s π 76, bu urn ll he coeffcens of he sne funcons no decmls. E......
13 Ener equon 3 n MAPLE usng he frs 5 erms..5, usng he funcon noon for E [hs wll loo le E ->sum. ]. Ener he followng vlues of n he ble below o fnd he vlues of E. Plug hese vlues of E no equon o fnd he, locons of Hlle s Come nd fll he ble below Tme n ers Vlue of E Approme locon of he come Feb Feb Feb Wre shor semen s o how hs compres wh our correc locons ou go n problem H.
14 *Noe You cn use our clculor o do hs problem, bu snce our clculor does no now Bessel funcons, ou need o use he power seres for e 1 e e,!! nd plug h n 3 o ge E π 1 1 e!! π sn. The clculor wll gve smlr nswers o MAPLE f ou use he frs ff erms for boh of he seres prl sums. The clculor s, however, ecrucngl slow. If ou do hs, s bes o sore he numbers n, nd e nd ener hs equon wh nd e smbols nd no numbers. Sore he funcon s f, nd hen ener f, f.5 f1,. o ge vlues for E.
15 Problem H5 In prevous H problems we used Bessel funcons o model he orb nd he locon of Hlle s Come. In hs ls H problem we wll cull solve dfferenl equon o fnd he power seres of one of hese Bessel funcons s n emple of how he power seres for Bessel funcons re derved. I wll hnd ou gudelne o s ou o summrze he resuls of problems H1 hrough H5 no projec repor ne wee Bessel funcon of order, s we hve seen before, s he soluon o he followng dfferenl equon,,1,, 3,.... For emple, s he soluon o. If we le, nd choose prer nl condons, he soluon o he nl vlue problem, 1, 1 s he Bessel funcon of order h s. Solve he bove nl vlue problem 1 usng he power seres echnque. Me sure ou show ll our seps nd pu he fnl nswer n form. b Fnd he nervl of convergence of. c Assumng h ou cn solve he dfferenl equon for n Bessel funcon, fnd he nervl of convergence of he generl Bessel funcon. The form for ws found n H3. d Grph severl Tlor polnomls for unl ou rech one h loos le good ppromon o over he nervl [-5, 5]. Presen he grphs nd he Tlor polnoml h does hs ppromon Ths problem wll be grded on he use of good mhemcl noon nd complee wre up of our wor.
16 Wrng Your Projec Repor You re now red o presen our scenfc wor on Kepler s Lws s ppled o Hlle s Come. Here s gudelne for our presenon for he resuls of problems H1 hrough H5. Plese do no ch or refer o n of he H problems n our repor. You cn cu nd pse resuls he re nel done, bu use our own words. Wre our repor s f someone who does no now nhng bou he H problems, bu nows mh s redng our repor. Your repor should be word processed. b You wll summrze ll he nformon h ou hve lerned n he H problems n our repor. Your repor 1 Inroducon Summrze Kepler s Lws nd wh he projec wll presen he ec mplc nd he pprome eplc equons for E jus n words No equons n Inroducon. Mn Presenon Orgnze he nformon n w h wll me sense o n ousde reder. Frs presen Kepler s frs wo lws. Ne presen Hlle s Come nd s orbl elemens, e,, b. Then he mplc equon h Kepler derved, nd fnll he pprome eplc form h were ler develed, nd compre he resuls. You lso need o presen Bessel funcons n here s well. Emphsze Power Seres for E nd Bessel Funcons h we hve lerned n hs clss. Include ll he bles nd he formuls nd he grphs h we hve develed n he H problems. The soluon o ou found n H5 cn be presened here or s n ppend n he bc. If ou presen s n ppend n he bc, menon here h s n emple we wll presen he soluon for he frs Bessel funcon n Append A. 3 Summr Summrze he resuls of hs projec nd ll h ou hve lerned jus n words. The summr wll be jus n words wh no equons or grphs or bles.
Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b].
Improper Inegrls Dr. Philippe B. lvl Kennesw Se Universiy Sepember 9, 25 Absrc Noes on improper inegrls. Improper Inegrls. Inroducion In Clculus II, sudens defined he inegrl f (x) over finie inervl [,
More informationNewton-Raphson Method of Solving a Nonlinear Equation Autar Kaw
Newton-Rphson Method o Solvng Nonlner Equton Autr Kw Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
More informationLecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field
ecure 4 nducon evew nducors Self-nducon crcus nergy sored n a Magnec Feld 1 evew nducon end nergy Transfers mf Bv Mechancal energy ransform n elecrc and hen n hermal energy P Fv B v evew eformulaon of
More information2D TRANSFORMATIONS (Contd.)
AML7 CAD LECURE 5 D RANSFORMAIONS Con. Sequene of operons, Mr ulplon, onenon, onon of operons pes of rnsforon Affne Mp: A p φ h ps E 3 no self s lle n ffne Mp f leves renr onons nvrn. 3 If β j j,, j E
More informationPhys222 W12 Quiz 2: Chapters 23, 24. Name: = 80 nc, and q = 30 nc in the figure, what is the magnitude of the total electric force on q?
Nme: 1. A pricle (m = 5 g, = 5. µc) is relesed from res when i is 5 cm from second pricle (Q = µc). Deermine he mgniude of he iniil ccelerion of he 5-g pricle.. 54 m/s b. 9 m/s c. 7 m/s d. 65 m/s e. 36
More informationGraphs on Logarithmic and Semilogarithmic Paper
0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl
More informationSupply chain coordination in 2-stage-orderingproductionsystembased
As Pcfc ndusrl Engneerng nd Mngemen Sysem Supply chn coordnon n -sge-orderngproduconsysembsed on demnd forecsng upde Esuko Kusukw eprmen of Elecrcl Engneerng nd nformon Sysems, OskPrefecure Unversy, Sk,
More informationPolynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )
Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +
More informationSection 7-4 Translation of Axes
62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the
More informationUse Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.
Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd
More informationMathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100
hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by
More information5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.
5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued
More informationMr. Kepple. Motion at Constant Acceleration 1D Kinematics HW#5. Name: Date: Period: (b) Distance traveled. (a) Acceleration.
Moion Consn Accelerion 1D Kinemics HW#5 Mr. Kepple Nme: De: Period: 1. A cr cceleres from 1 m/s o 1 m/s in 6.0 s. () Wh ws is ccelerion? (b) How fr did i rel in his ime? Assume consn ccelerion. () Accelerion
More informationSecure Hash Standard (SHS) The 8/2015 release of FIPS 180-4 updates only the Applicability Clause. Final Publication of FIPS 180-4:
The ched drf FIPS 8- provded here for hsorcl purposes hs been superseded by he followng FIPS publcon: Publcon Number: FIPS 8- Tle: Secure sh Sndrd SS Publcon De: 8/5 The 8/5 relese of FIPS 8- updes only
More informationSPECIAL PRODUCTS AND FACTORIZATION
MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come
More informationBayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom
Byesin Updting with Continuous Priors Clss 3, 8.05, Spring 04 Jeremy Orloff nd Jonthn Bloom Lerning Gols. Understnd prmeterized fmily of distriutions s representing continuous rnge of hypotheses for the
More informationFactoring Polynomials
Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles
More informationUnit 6: Exponents and Radicals
Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -
More informationSpline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II
Lecure 4 Curves and Surfaces II Splne A long flexble srps of meal used by drafspersons o lay ou he surfaces of arplanes, cars and shps Ducks weghs aached o he splnes were used o pull he splne n dfferen
More informationOr more simply put, when adding or subtracting quantities, their uncertainties add.
Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re
More information9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes
The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors
More informationTreatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.
The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only
More informationMORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi
MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).
More informationLecture 5. Inner Product
Lecture 5 Inner Product Let us strt with the following problem. Given point P R nd line L R, how cn we find the point on the line closest to P? Answer: Drw line segment from P meeting the line in right
More informationOperations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply
More informationCapacity Planning. Operations Planning
Operaons Plannng Capacy Plannng Sales and Operaons Plannng Forecasng Capacy plannng Invenory opmzaon How much capacy assgned o each producon un? Realsc capacy esmaes Sraegc level Moderaely long me horzon
More informationMath 135 Circles and Completing the Square Examples
Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for
More informationExample What is the minimum bandwidth for transmitting data at a rate of 33.6 kbps without ISI?
Emple Wh is he minimum ndwidh for rnsmiing d re of 33.6 kps wihou ISI? Answer: he minimum ndwidh is equl o he yquis ndwidh. herefore, BW min W R / 33.6/ 6.8 khz oe: If % roll-off chrcerisic is used, ndwidh
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationIntegration by Substitution
Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is
More informationExample 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.
2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this
More informationSteps for D.C Analysis of MOSFET Circuits
10/22/2004 Seps for DC Analysis of MOSFET Circuis.doc 1/7 Seps for D.C Analysis of MOSFET Circuis To analyze MOSFET circui wih D.C. sources, we mus follow hese five seps: 1. ASSUME an operaing mode 2.
More informationRevision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax
.3: Inucors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We connue our suy of energy sorage elemens wh a scusson of nucors. Inucors, lke ressors an capacors, are passe wo-ermnal
More informationAREA OF A SURFACE OF REVOLUTION
AREA OF A SURFACE OF REVOLUTION h cut r πr h A surfce of revolution is formed when curve is rotted bout line. Such surfce is the lterl boundr of solid of revolution of the tpe discussed in Sections 7.
More information4.11 Inner Product Spaces
314 CHAPTER 4 Vector Spces 9. A mtrix of the form 0 0 b c 0 d 0 0 e 0 f g 0 h 0 cnnot be invertible. 10. A mtrix of the form bc d e f ghi such tht e bd = 0 cnnot be invertible. 4.11 Inner Product Spces
More informationLECTURE #05. Learning Objective. To describe the geometry in and around a unit cell in terms of directions and planes.
LECTURE #05 Chpter 3: Lttice Positions, Directions nd Plnes Lerning Objective To describe the geometr in nd round unit cell in terms of directions nd plnes. 1 Relevnt Reding for this Lecture... Pges 64-83.
More information12/7/2011. Procedures to be Covered. Time Series Analysis Using Statgraphics Centurion. Time Series Analysis. Example #1 U.S.
Tme Seres Analyss Usng Sagraphcs Cenuron Nel W. Polhemus, CTO, SaPon Technologes, Inc. Procedures o be Covered Descrpve Mehods (me sequence plos, auocorrelaon funcons, perodograms) Smoohng Seasonal Decomposon
More informationReasoning to Solve Equations and Inequalities
Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing
More informationHelicopter Theme and Variations
Helicopter Theme nd Vritions Or, Some Experimentl Designs Employing Pper Helicopters Some possible explntory vribles re: Who drops the helicopter The length of the rotor bldes The height from which the
More informationAlgebra Review. How well do you remember your algebra?
Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then
More informationReplicating. embedded options
CUING EDGE EMBEDDED OPIONS Replcng embedded opons Insurnce compnes nvesed hevly n sochsc models. he nex horzon s o embed hese models more deeply no sse lbly mngemen processes. he uhors beleve h he replcng
More informationMATH 150 HOMEWORK 4 SOLUTIONS
MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive
More informationVectors 2. 1. Recap of vectors
Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms
More informationPhysics 43 Homework Set 9 Chapter 40 Key
Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x
More informationVector Algebra. Lecture programme. Engineering Maths 1.2
Leue pogmme Engneeng Mh. Veo lge Conen of leue. Genel noduon. Sl nd veo. Cen omponen. Deon one. Geome epeenon. Modulu of veo. Un veo. Pllel veo.. ddon of veo: pllelogm ule; ngle lw; polgon lw; veo lw fo
More informationRegular Sets and Expressions
Regulr Sets nd Expressions Finite utomt re importnt in science, mthemtics, nd engineering. Engineers like them ecuse they re super models for circuits (And, since the dvent of VLSI systems sometimes finite
More informationAppendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.
Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa
More informationScalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra
Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to
More informationSequences and Series
Secto 9. Sequeces d Seres You c thk of sequece s fucto whose dom s the set of postve tegers. f ( ), f (), f (),... f ( ),... Defto of Sequece A fte sequece s fucto whose dom s the set of postve tegers.
More informationwww.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)
www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input
More informationRotating DC Motors Part II
Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors
More informationWHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS?
WHAT HAPPES WHE YOU MIX COMPLEX UMBERS WITH PRIME UMBERS? There s n ol syng, you n t pples n ornges. Mthemtns hte n t; they love to throw pples n ornges nto foo proessor n see wht hppens. Sometmes they
More informationExponential and Logarithmic Functions
Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define
More informationMathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)
Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions
More informationAnswer, Key Homework 6 David McIntyre 45123 Mar 25, 2004 1
Answe, Key Homewok 6 vid McInye 4513 M 5, 004 1 This pin-ou should hve 0 quesions. Muliple-choice quesions my coninue on he nex column o pge find ll choices befoe mking you selecion. The due ime is Cenl
More informationInternational Journal of Mathematical Archive-7(5), 2016, 193-198 Available online through www.ijma.info ISSN 2229 5046
Inernaonal Journal of Mahemacal rchve-75), 06, 9-98 valable onlne hrough wwwjmanfo ISSN 9 506 NOTE ON FUZZY WEKLY OMPLETELY PRIME - IDELS IN TERNRY SEMIGROUPS U NGI REDDY *, Dr G SHOBHLTH Research scholar,
More informationLecture 3 Gaussian Probability Distribution
Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike
More informationAnswer, Key Homework 10 David McIntyre 1
Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your
More informationLecture 11 Inductance and Capacitance
Lecure Inducance and apacance ELETRIAL ENGINEERING: PRINIPLES AND APPLIATIONS, Fourh Edon, by Allan R. Hambley, 8 Pearson Educaon, Inc. Goals. Fnd he curren olage for a capacance or nducance gen he olage
More information15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style
The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time
More informationHow To Calculate Backup From A Backup From An Oal To A Daa
6 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.4 No.7, July 04 Mahemacal Model of Daa Backup and Recovery Karel Burda The Faculy of Elecrcal Engneerng and Communcaon Brno Unversy
More informationEcon 4721 Money and Banking Problem Set 2 Answer Key
Econ 472 Money nd Bnking Problem Set 2 Answer Key Problem (35 points) Consider n overlpping genertions model in which consumers live for two periods. The number of people born in ech genertion grows in
More informationPROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY
MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive
More information2 DIODE CLIPPING and CLAMPING CIRCUITS
2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of
More informationDistributions. (corresponding to the cumulative distribution function for the discrete case).
Distributions Recll tht n integrble function f : R [,] such tht R f()d = is clled probbility density function (pdf). The distribution function for the pdf is given by F() = (corresponding to the cumultive
More informationInductance and Transient Circuits
Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual
More informationLectures 8 and 9 1 Rectangular waveguides
1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves
More informationIrregular Repeat Accumulate Codes 1
Irregulr epet Accumulte Codes 1 Hu Jn, Amod Khndekr, nd obert McElece Deprtment of Electrcl Engneerng, Clforn Insttute of Technology Psden, CA 9115 USA E-ml: {hu, mod, rjm}@systems.cltech.edu Abstrct:
More informationMatrices in Computer Graphics
Marce n Compuer Graphc Tng Yp Mah 8A // Tng Yp Mah 8A Abrac In h paper, we cu an eplore he bac mar operaon uch a ranlaon, roaon, calng an we wll en he cuon wh parallel an perpecve vew. Thee concep commonl
More informationOblique incidence: Interface between dielectric media
lecrmagnec Felds Oblque ncdence: Inerface beween delecrc meda Cnsder a planar nerface beween w delecrc meda. A plane wave s ncden a an angle frm medum. The nerface plane defnes he bundary beween he meda.
More informationPositive Integral Operators With Analytic Kernels
Çnky Ünverte Fen-Edeyt Fkülte, Journl of Art nd Scence Sy : 6 / Arl k 006 Potve ntegrl Opertor Wth Anlytc Kernel Cn Murt D KMEN Atrct n th pper we contruct exmple of potve defnte ntegrl kernel whch re
More informationModule 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur
Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,
More informationDecomposing Changes in Aggregate Loan-to-Value Ratios
Decompong hnge n Aggrege Lon-o-Vlue o Jn de Hn nd André vn den Berg b Ocober 26, 2 Abrc: The Lon-o-Vlue ro for group of houehold cn be defned he ol moun of oundng morgge lon dvded b he ol vlue of he houng
More informationLinear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction
Lnear Exenson Cube Aack on Sream Cphers Lren Dng Yongjuan Wang Zhufeng L (Language Engneerng Deparmen, Luo yang Unversy for Foregn Language, Luo yang cy, He nan Provnce, 47003, P. R. Chna) Absrac: Basng
More informationLINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES
LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of
More informationSignal Rectification
9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal
More informationExample A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding
1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde
More informationBasic Analysis of Autarky and Free Trade Models
Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently
More informationand thus, they are similar. If k = 3 then the Jordan form of both matrices is
Homework ssignment 11 Section 7. pp. 249-25 Exercise 1. Let N 1 nd N 2 be nilpotent mtrices over the field F. Prove tht N 1 nd N 2 re similr if nd only if they hve the sme miniml polynomil. Solution: If
More informationWarm-up for Differential Calculus
Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:
More informationSummary: Vectors. This theorem is used to find any points (or position vectors) on a given line (direction vector). Two ways RT can be applied:
Summ: Vectos ) Rtio Theoem (RT) This theoem is used to find n points (o position vectos) on given line (diection vecto). Two ws RT cn e pplied: Cse : If the point lies BETWEEN two known position vectos
More informationIntegration. 148 Chapter 7 Integration
48 Chpter 7 Integrtion 7 Integrtion t ech, by supposing tht during ech tenth of second the object is going t constnt speed Since the object initilly hs speed, we gin suppose it mintins this speed, but
More informationInsurance. By Mark Dorfman, Alexander Kling, and Jochen Russ. Abstract
he Impac Of Deflaon On Insurance Companes Offerng Parcpang fe Insurance y Mar Dorfman, lexander Klng, and Jochen Russ bsrac We presen a smple model n whch he mpac of a deflaonary economy on lfe nsurers
More informationDynamic Magnification Factor of SDOF Oscillators under. Harmonic Loading
Dynmic Mgnificion Fcor of SDOF Oscillors under Hrmonic Loding Luis Mrí Gil-Mrín, Jun Frncisco Cronell-Márquez, Enrique Hernández-Mones 3, Mrk Aschheim 4 nd M. Psds-Fernández 5 Asrc The mgnificion fcor
More informationMA 15800 Lesson 16 Notes Summer 2016 Properties of Logarithms. Remember: A logarithm is an exponent! It behaves like an exponent!
MA 5800 Lesson 6 otes Summer 06 Rememer: A logrithm is n eponent! It ehves like n eponent! In the lst lesson, we discussed four properties of logrithms. ) log 0 ) log ) log log 4) This lesson covers more
More informationChapter 7. Response of First-Order RL and RC Circuits
Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural
More informationBinary Representation of Numbers Autar Kaw
Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy
More informationTemporal causal relationship between stock market capitalization, trade openness and real GDP: evidence from Thailand
MPRA Munch Personl RePEc Archve Temorl cusl relonsh beween soc mre clzon, rde oenness nd rel GDP: evdence from Thlnd Komn Jrnyul Nonl Insue of Develomen Admnsron November 4 Onlne hs://mr.ub.un-muenchen.de/64/
More informationVectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a.
Vectors mesurement which onl descries the mgnitude (i.e. size) of the oject is clled sclr quntit, e.g. Glsgow is 11 miles from irdrie. vector is quntit with mgnitude nd direction, e.g. Glsgow is 11 miles
More informationExperiment 6: Friction
Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht
More informationAPPLICATION OF CHAOS THEORY TO ANALYSIS OF COMPUTER NETWORK TRAFFIC Liudvikas Kaklauskas, Leonidas Sakalauskas
The XIII Inernaonal Conference Appled Sochasc Models and Daa Analyss (ASMDA-2009) June 30-July 3 2009 Vlnus LITHUANIA ISBN 978-9955-28-463-5 L. Sakalauskas C. Skadas and E. K. Zavadskas (Eds.): ASMDA-2009
More informationRC (Resistor-Capacitor) Circuits. AP Physics C
(Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED
More informationHealth insurance marketplace What to expect in 2014
Helth insurnce mrketplce Wht to expect in 2014 33096VAEENBVA 06/13 The bsics of the mrketplce As prt of the Affordble Cre Act (ACA or helth cre reform lw), strting in 2014 ALL Americns must hve minimum
More informationBayesian Forecasting of Stock Prices Via the Ohlson Model
Baesan Forecasng of Soc Prces Va he Ohlson Model B Qunfang Flora Lu A hess Submed o he Facul of WORCESER POLYECHIC ISIUE n paral fulfllmen of he requremens for he Degree of Maser of Scence n Appled Sascs
More informationPHYSICS 161 EXAM III: Thursday December 04, 2003 11:00 a.m.
PHYS 6: Eam III Fall 003 PHYSICS 6 EXAM III: Thusda Decembe 04, 003 :00 a.m. Po. N. S. Chan. Please pn ou name and ene ou sea numbe o den ou and ou eamnaon. Suden s Pned Name: Recaon Secon Numbe: Sea Numbe:.
More informationA Background Layer Model for Object Tracking through Occlusion
A Background Layer Model for Obec Trackng hrough Occluson Yue Zhou and Ha Tao Deparmen of Compuer Engneerng Unversy of Calforna, Sana Cruz, CA 95064 {zhou,ao}@soe.ucsc.edu Absrac Moon layer esmaon has
More information1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).
PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a
More informationReview Problems for the Final of Math 121, Fall 2014
Review Problems for the Finl of Mth, Fll The following is collection of vrious types of smple problems covering sections.,.5, nd.7 6.6 of the text which constitute only prt of the common Mth Finl. Since
More information9 CONTINUOUS DISTRIBUTIONS
9 CONTINUOUS DISTIBUTIONS A rndom vrible whose vlue my fll nywhere in rnge of vlues is continuous rndom vrible nd will be ssocited with some continuous distribution. Continuous distributions re to discrete
More information