DIFFERENTIAL EQUATIONS with TI-89 ABDUL HASSEN and JAY SCHIFFMAN. A. Direction Fields and Graphs of Differential Equations

Size: px
Start display at page:

Download "DIFFERENTIAL EQUATIONS with TI-89 ABDUL HASSEN and JAY SCHIFFMAN. A. Direction Fields and Graphs of Differential Equations"

Transcription

1 DIFFERENTIAL EQUATIONS wih TI-89 ABDUL HASSEN and JAY SCHIFFMAN W will assum ha h radr is familiar wih h calculaor s kyboard and h basic opraions. In paricular w hav assumd ha h radr knows h funcions of h SECOND, APLHA, and GREEN DIAMOND kys. Thus w will simply say display h Y=dior assuming ha h radr will firs prss h DIAMOND ky and hn F. W hav us bold fac uppr cas lrs o rfr o h calculaor s commands or kys. Whn w say You can accss h command and from Mah 8 8, w man firs prss MATH. (which is nd hn 5) and hn prss 8 wic. No ha mos mnus hav svral submnus, which in urn may hav many opions. To display and slc an opion w may nd o us h cursr kys. Mos buil-in funcions can b found by prssing CATALOG followd by h firs lr of h dsird command. On can hn slc h command by scrolling down, if ncssary, using h cursor ky. To clar h hom scrn, us F 8. To go back o h hom scrn, us HOME or ESC or QUIT. To obain an approxima valu (in dcimals) us h GREEN DIAMOND followd by ENTER. To draw a graph us GREEN DIAMOND followd by F3. A. Dircion Filds and Graphs of Diffrnial Equaions Exampl : Draw h dircion fild of h diffrnial quaion y ' = x! y Soluion:. Prss h MODE ky and from h GRAPH mod slc 6: DIFF EQUATIONS.. Display h Y= dior and nr your diffrnial quaion. Us for indpndn variabl and y for y. For h prim noaion for h drivaiv us ND =. Draw h graph. Th figurs blow show h abov sps. Exampl : Draw h graph of h soluion of y ' x y =! ha passs hrough (,-) Soluion: Enr your diffrnial quaion as in Exampl.. Us h cursor ky o mov up o h iniial valu of and prss F3. Thn yp and ENTER.. Typ for h y-valu in h lin y i =. Draw h graph. Th firs figur blow shows h inpus whil h scond shows h graph. Rmarks:. To draw h graph of h soluion wihou h dircion fild, from h Y= dior prss F 9 o display h GRAPH FORMAT. From h Filds opion (h las row) us h righ cursor ky o choos 3:FLDOFF and prss ENTER. Now draw h graph.

2 . You can obain soluions passing hrough ohr poins by simply changing h iniial condiions whil you ar in h dircion fild/graph scrn. To do his prss F8 (which is ND F3.) and yp h iniial condiion for and ENTER and hn yp h iniial valu for y and ENTER. 3. Thr ar svral syls for h graph of h soluion hrough a givn poin. From h Y= dior scrn prss F6 (which is nd F) and choos any of h syls and s wha happns. Th figurs blow show GRAPH FORMAT and h graph of h quaion y ' = x! y wih diffrn iniial valus using F8 (from h graph display). Exampl 3: Draw h dircion fild for h sysm of diffrnial quaions! dx = 5x + 3y " d dy = 4x " 3y " d Soluion: In h Y= dior us y for x and y for y. From h Filds opion of h graph forma, choos :DIRFLD. (S Rmark abov.) Th firs wo figurs show h inpus and h dircion fild, rspcivly. Th las wo figurs show a graph of an iniial valu problm for sysms of quaion. (Wri h IVP.) Exampl 4: Draw h dircion fild for y '' + 3 y '! y = x. Soluion. TI-89 draws dircion filds only for firs ordr and sysms of firs ordr diffrnial quaions. Thus w nd o convr his scond ordr quaion in o sysms of firs ordr quaions. As bfor w us for h indpndn variabl and y for y. W l y ' = y Thn h givn quaion is quivaln o h sysm! dy = y " d " dy = + y 3y " d Procd as in Exampl 3. Th main poin of his xampl is ha w can us his chniqu for highr ordr diffrnial quaions. (S Scion D blow) B. Solving Firs and Scond Ordr Diffrnial Equaions Th command for solving firs and scond diffrnial quaions is dsolv( which can b accssd by F3 C. Th forma for his command is dsolv(h diffrnial qn, indpndn variabl, dpndn variabl) Exampl 5: Solv a) Soluion: = + b) y '' + 5 y '! 6y = 0 y ' y x In h inpu lin nr dsolv( y ' = y + x, x, y ) ENTER. Th figurs ll h sory!

3 No ha TI 89 is giving you h gnral soluion for a) as y x " x " x ". sands for an arbirary paramr (ha w usually wri as c or c.) x Exampl 6: Solv h iniial valu problm (IVP) y '' + y '! 3y =, y (0) = and y '(0) =! x Soluion: In h inpu lin nr dsolv( y '' + y '! 3y = and y (0) = and y '(0) =!, x, y) ENTER You can accss and from Mah ( which is nd 5) 8 8. You could also yp i. Us ALPHA (-) for spac. x Exampl 7: Draw h graph of h soluion of h IVP y '' + y ' + 5y =, y (0) = and y '(0) =! Soluion: Firs solv h IVP as in Exampl 6.Thn from h inpu lin us F4 o Dfin y(x) as h soluion. You can g h soluion by using h upward cursor ky and prssing ENTER. Mak sur o dl y. This will auomaically nr h soluion as y on h Y=dior. Hr is h soluion and h graph. (W hav usd [-5,8] by [-0,30] for h graph window.) Mak sur ha h MODE is on Funcions no on Diff Equaions. C. Eulr and Rung-Kua Mhods Th TI 89 can gnra numrical soluions using h Eulr and Rung-Kua mhods. Th command for his is BldDaa nam. Hr BldDaa is h command for building h abl of valus and nam is h nam of h daa. W show h dails in h following xampl. Exampl 8: Considr h IVP: y ' = x! y, y (0) = a) Us Eulr s mhod o consruc a numrical soluion for h IVP. b) Us Rung-Kua mhod o consruc a numrical soluion for h IVP c) Solv h IVP d) Consruc a abl o compar h wo numrical mhods and h xac soluion. Soluions: a) Hr ar h sps o build h daa for h numrical soluion using Eulr s mhod.. Enr h diffrnial quaion in h Y= dior and dl any ohr quaions.. From h graph forma, slc EULER for Soluions Mhod and FLDOFF for Filds. 3. Prss HOME hn CATALOG and b. Slc BldDaa and ENTER. Typ u for h nam and ENTER. (You could also yp blddaa u on h inpu lin afr your prss HOME) 4. Opn u using APPS 6 and hn slc u for Variabl. b) For h Rung-Kua mhod from h graph forma, slc RK for Soluions Mhod. Prss HOME and yp blddaa rk and ENTER.

4 c) Solv h IVP using dsolv( and Dfin y(x) as h soluion.(s Exampl 7.) d) To compar h wo mhods and h xac soluion, follow hs sps.. Us APPS 6 3 o cra a nw daa, call i comp.. Prss F4 and yp u[] and ENTER.(u[] rfrs o h firs column of h daa calld u.) 3. Mov o h scond column and prss F4. Typ u[] and ENTER. 4. Mov o h hird column and prss F4. Typ rk[] and ENTER. 5. Mov o h fourh column and prss F4. Typ y(c) and ENTER. Hr ar h figurs showing h rsuls of h abov sps. If your abl is diffrn from ours, chang h valu of sp in h WINDOWS o 0.. D. Solving Third and Highr Ordr Diffrnial Equaions Rmark: TI 89 dos no solv 3 rd and highr ordr diffrnial quaions. To obain h graph of a soluion of hird and highr ordr quaion, w convr h quaion ino sysms of firs ordr quaions and draw h graphs.(s Exampl 4 abov.) Howvr, w can uiliz h TI 89 capabiliy o solv polynomial quaions wih complx roos o solv linar diffrnial quaions of highr ordr wih consan cofficins. Hr ar som xampls. Exampl 9: Solv y ''' + 3 y ''! y '! 3y = 0 Soluion: Th auxiliary quaion is 3 + 3!! 3 = 0 and using h csolv( (which can b accssd by F A ) command for solving quaions wih complx roos, w obain = or =! or =! 3. Thus h x! x! 3x gnral soluion is givn by y = c + c + c3. Exampl 0: Solv y ''' + 3 y '' + 8 y ' + 6y = 0. Soluion: Th auxiliary quaion is = 0 and using csolv( = 0, ) w g! x! x! x =! + 5i or =!! 5i or =!. Thus h gnral soluion is y = c + c cos(5 x) + c3 sin(5 x) Exampl : Solv h IVP y '''! y ''! 4 y ' + 4y = 0, y (0) =! 4, y '(0) =!, and y ''(0) =! 9 Soluion: Th auxiliary quaion hr is 3!! = 0 and csolv( 3!! = 0, ) yilds h soluions = or = or =!. Now us F4 o dfin h gnral soluion as y = a " x + b " x + c "! x. To solv for a, b, c using h iniial condiion, w could ENTER Solv( ( y x = 0) =! 4 and ( d( y, x) x = 0) =! and ( d( y, x,) x = 0) =! 9,a ) For h drivaiv, us F3 or nd 8. Hr ar h sps.

5 Thus h soluion of h IVP is y =! 3 x + x!! x. E. Solving Sysms of Diffrnial Equaions In Scion A w hav discussd how o obain h graph of a soluion of a sysm of diffrnial quaions. Hr w will solv sysms wih consan cofficins using h hory of ignvalus and ignvcors. Exampl : Solv h sysm of quaions givn by X ' = AX whr "! 3 A =! Soluion: I is now rcommndd ha you clar all h singl variabls you migh hav usd arlir. F6 ENTER will accomplish his. Hr ar h rlvan sps.. Th firs ask will b o nr h marix A. Us APPS 6 3 and Typ choos :marix. Us h down cursor ky o go o h variabl box and yp a for h nam of h marix. For boh row and col dimnsions yp.(again us h down cursor ky afr you ypd h inpus.)now ENTER and yp h nris of h marix.(th firs row mus b filld in firs.) Prss HOME and CLEAR. Find h ignvalus of h marix by using Mah 4 9 a) ENTER or by yping igvl(a) 3. Find h ignvcors of h marix by using Mah 4 A a) ENTER or by yping igvc(a) Th figurs blow ar h rsul of h abov sps. Th las figur shows h ignvalus and vcors. Thus h gnral soluion of h quaion is givn by " " X c c! =! !.368 Rmark:. Th firs numbr givn by igvl(a) is h firs ignvalu which in his cas is and scond ignvalu is. Th firs column of h igvc(a) is an ignvcor corrsponding o h firs ignvalu of a. No ha TI 89 is normalizing h vcors, ha is h ignvcors ar uni vcors.. For our purposs and asir noaions, i is convnin o rwri h ignvcors wih ingr nris. This is usually possibl. On possibl mhod is o rplac h smalls numbr in h columns by and divid h ohr nris in ha column by h smalls valu you jus rplacd. Us h command igvc(a)[j,k] o rfr o h j-k nry of h marix igvc(a).i is clar ha h firs columns ar qual! " hus for h fis ignvcor w may ak. Th scond on may no b clar so w rplac & by. No hn ha /-.368 is Thus i is highly rcommndd ha you compu 3 igvc(a)[,]/ igvc(a)[,]. W find ha his is 3. Thus w may ak! " as h scond ignvcor. & Thus h gnral soluion could also b givn by "! " 3. X = c + c

6 ! 3. No ha w can xprss h abov soluion as 3 c X " " = c! & ' somims rfrrd o as h fundamnal marix of h quaion!. Th marix 3 X ' = AX. " b =! & ' is Exampl 3: Solv X ' = AX,! " X (0) =, whr! 3 " A =! Soluion: As in Exampl w solv X ' = AX and xprss h answr in h form givn in Rmark 3! " abov. All w hav o do now is solv h sysm of quaions 3 " c "!! c = 0 =! To his nd w nr h marix " 3 ino h calculaor as b. and "! as d. Th w compu h! & ' command rrf(augmn((b =0),d)). Th las column of his row rducd chlon form marix givs h soluion for c and c. rrf and augmn can b accssd from Mah( nd 5) 4 4 and Mah 4 7, rspcivly. Exampl 4: Solv X ' = AX + F, whr! " F = &! c " c = c & Soluion: L b b as in Exampl and l and! 3 " A =!. Thn h gnral soluion o h sysm is givn by!! X = b" c + b" ( b " f ) d. Enr F as f and xcu h command b " ( b " f ) d. For!, us F3 or nd 7. Hr ar h figurs for hs sps. Thrfor h gnral soluion is givn by Exampl 5: Solv X ' AX F " 3! + 3! " 3 c " ( 4 ) * + X = (! ) ( c ) + ( ), -, - ( ) (&! ' +! ),* 4 + -! " X (0) =, whr! " and "! 3 F = A = &! = +, Soluion: W will us h noaions of Exampls 3 and 4. Th soluion is hn givn by h formula:!! ( (0)) ( ( ) ( )) X = b" b " d + b" b s " f s ds W now nd o Dfin b^(-) and f as funcions of s rahr han as funcions of. W will us and g, for b^(- ) and f, rspcivly. Hr is a parial picur. 0. Th soluion is!! " X =! + + 3,! + +! & '

Transient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique

Transient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique Inrnaional Journal of Mahmaical Enginring and Scinc ISSN : 77-698 Volum 1 Issu 5 (May 01) hp://www.ijms.com/ hps://sis.googl.com/si/ijmsjournal/ Transin Thrmolasic Bhavior of Smi-infini Cylindr by Using

More information

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model Gn. Mah. Nos, Vol. 9, No. 2, Dcmbr, 23, pp. 4- ISSN 229-784; Copyrigh ICSRS Publicaion, 23 www.i-csrs.org Availabl fr onlin a hp://www.gman.in Numrical Algorihm for h Sochasic Prsn Valu of Aggrga Claims

More information

Estimating Powers with Base Close to Unity and Large Exponents

Estimating Powers with Base Close to Unity and Large Exponents Divulgacions Mamáicas Vol. 3 No. 2005), pp. 2 34 Esimaing Powrs wih Bas Clos o Uniy and Larg Exponns Esimacón d Poncias con Bas Crcana a la Unidad y Grands Exponns Vio Lampr Vio.Lampr@fgg.uni-lj.si) FGG,

More information

Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B.

Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B. Displacmn snsors Many quaniis ar ransducd in a displacmn and hn in an lcric signal (prssur, mpraur, acclraion). Poniomrs Poniomrs i p p i o i p A poniomr is basd on a sliding conac moving on a rsisor.

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Unit 2. Unit 2: Rhythms in Mexican Music. Find Our Second Neighborhood (5 minutes) Preparation

Unit 2. Unit 2: Rhythms in Mexican Music. Find Our Second Neighborhood (5 minutes) Preparation Uni 2 Prparaion Uni 2: Rhyhms in Mxican Music Find Our Scond Nighborhood (5 minus) Th Conducor now aks us on a journy from Morningsid Highs, Manhaan, o Eas Harlm, Manhaan, o m our nx singr, Clso. Hav sudns

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

Systems of First Order Linear Differential Equations

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

More information

Exotic Options Pricing under Stochastic Volatility

Exotic Options Pricing under Stochastic Volatility Exoic Opion Pricing undr Sochaic olailiy Nabil AHANI Prliminary draf April 9h Do no quo Conac informaion: Nabil ahani HEC Monréal Canada Rarch Chair in Rik Managmn 3 Chmin d la Cô-Sain-Cahrin Monral Qubc

More information

CONTINUOUS TIME KALMAN FILTER MODELS FOR THE VALUATION OF COMMODITY FUTURES AND OPTIONS

CONTINUOUS TIME KALMAN FILTER MODELS FOR THE VALUATION OF COMMODITY FUTURES AND OPTIONS CONTINUOUS TIME KALMAN FILTER MODELS FOR THE VALUATION OF COMMODITY FUTURES AND OPTIONS ANDRÉS GARCÍA MIRANTES DOCTORAL THESIS PhD IN QUANTITATIVE FINANCE AND BANKING UNIVERSIDAD DE CASTILLA-LA MANCHA

More information

SPECIAL VOWEL SOUNDS

SPECIAL VOWEL SOUNDS SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)

More information

CFD-Calculation of Fluid Flow in a Pressurized Water Reactor

CFD-Calculation of Fluid Flow in a Pressurized Water Reactor Journal of Scincs, Islamic Rpublic of Iran 19(3): 73-81 (008) Univrsiy of Thran, ISSN 1016-1104 hp://jscincs.u.ac.ir CFD-Calculaion of Fluid Flow in a Prssurizd War Racor H. Farajollahi, * A. Ghasmizad,

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

MTBF: Understanding Its Role in Reliability

MTBF: Understanding Its Role in Reliability Modul MTBF: Undrsanding Is Rol in Rliabiliy By David C. Wilson Foundr / CEO March 4, Wilson Consuling Srvics, LLC dav@wilsonconsulingsrvics.n www.wilsonconsulingsrvics.n Wilson Consuling Srvics, LLC Pag

More information

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 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 information

A Note on Approximating. the Normal Distribution Function

A Note on Approximating. the Normal Distribution Function Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and

More information

The Laplace Transform

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

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

www.akcp.com Virtual Sensors

www.akcp.com Virtual Sensors www.akcp.cm Irduci: Virual Ssrs Virual ssrs ca b a vry pwrful l i yur mirig sysm. O h scuriyprb yu ca hav up 80 f hs virual ssrs ad hy allw fr a muliud f applicais. Igrai wih MODBUS wrks wih h scuriyprb

More information

Differential Equations and Linear Superposition

Differential Equations and Linear Superposition Differenial Equaions and Linear Superposiion Basic Idea: Provide soluion in closed form Like Inegraion, no general soluions in closed form Order of equaion: highes derivaive in equaion e.g. dy d dy 2 y

More information

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book. Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl

More information

GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING

GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING forcasing, dmand, gnic algorihm Grzgorz Chodak*, Wiold Kwaśnicki* GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING Th mhod of forcasing sasonal dmand applying gnic algorihm is prsnd. Spcific form of usd

More information

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim

More information

Linear Algebra and TI 89

Linear Algebra and TI 89 Linear Algebra and TI 89 Abdul Hassen and Jay Schiffman This short manual is a quick guide to the use of TI89 for Linear Algebra. We do this in two sections. In the first section, we will go over the editing

More information

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t, Homework6 Soluions.7 In Problem hrough 4 use he mehod of variaion of parameers o find a paricular soluion of he given differenial equaion. Then check your answer by using he mehod of undeermined coeffiens..

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix 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 information

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000 hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails

More information

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Basis risk. When speaking about forward or futures contracts, basis risk is the market Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also

More information

QUANTITATIVE METHODS CLASSES WEEK SEVEN

QUANTITATIVE METHODS CLASSES WEEK SEVEN QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.

More information

Rapid Estimation of Water Flooding Performance and Optimization in EOR by Using Capacitance Resistive Model

Rapid Estimation of Water Flooding Performance and Optimization in EOR by Using Capacitance Resistive Model Iranian Journal of Chmical Enginring Vol. 9, No. 4 (Auumn), 22, IAChE Rapid Esimaion of War Flooding Prformanc and Opimizaion in EOR by Using Capacianc Rsisiv Modl A.R. Basami, M. Dlshad 2, P. Pourafshary

More information

The Sensitivity of Beta to the Time Horizon when Log Prices follow an Ornstein- Uhlenbeck Process

The Sensitivity of Beta to the Time Horizon when Log Prices follow an Ornstein- Uhlenbeck Process T Snsiiviy of Ba o Tim Horizon wn Log Prics follow an Ornsin- Ulnbck Procss Oc 8, 00) KiHoon Jimmy Hong Dparmn of Economics, Cambridg Univrsiy Ocobr 4, 00 Sv Sacll Triniy Collg, Cambridg Univrsiy Prsnaion

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009 ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (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 information

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations. Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given

More information

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process, Chaper 19 The Black-Scholes-Vasicek Model The Black-Scholes-Vasicek model is given by a sandard ime-dependen Black-Scholes model for he sock price process S, wih ime-dependen bu deerminisic volailiy σ

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

Option Pricing with Constant & Time Varying Volatility

Option Pricing with Constant & Time Varying Volatility Opion Pricing wih Consan & im arying olailiy Willi mmlr Cnr for Empirical Macroconomics Bilfld Grmany; h Brnard chwarz Cnr for Economic Policy Analysis Nw York NY UA and Economics Dparmn h Nw chool for

More information

You can recycle all your cans, plastics, paper, cardboard, garden waste and food waste at home.

You can recycle all your cans, plastics, paper, cardboard, garden waste and food waste at home. Your 4 bin srvic You can rcycl all your cans, plasics, papr, cardboard, gardn was and food was a hom. This guid conains imporan informaion abou wha can b rcycld in your bins. Plas ak a momn o rad i. for

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 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 information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

Lecture 20: Emitter Follower and Differential Amplifiers

Lecture 20: Emitter Follower and Differential Amplifiers Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.

More information

QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A

QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A Plas rurn your compld qusionnair in h nclosd nvlop o: [Rurn Addrss] RNID PID Copyrigh by h Univrsiy

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

Quadrature Signals: Complex, But Not Complicated

Quadrature Signals: Complex, But Not Complicated Quadraur Signals: Complx, Bu No Complicad by Richard Lyons Inroducion Quadraur signals ar basd on h noion of complx numbrs and prhaps no ohr opic causs mor harach for nwcomrs o DSP han hs numbrs and hir

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

Financial Mathematics

Financial Mathematics Financial Mathatics A ractical Guid for Actuaris and othr Businss rofssionals B Chris Ruckan, FSA & Jo Francis, FSA, CFA ublishd b B rofssional Education Solutions to practic qustions Chaptr 7 Solution

More information

Signal Processing and Linear Systems I

Signal Processing and Linear Systems I Sanford Universiy Summer 214-215 Signal Processing and Linear Sysems I Lecure 5: Time Domain Analysis of Coninuous Time Sysems June 3, 215 EE12A:Signal Processing and Linear Sysems I; Summer 14-15, Gibbons

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

Signal Rectification

Signal 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 information

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1 Answer, Key Homework 2 Daid McInyre 4123 Mar 2, 2004 1 This prin-ou should hae 1 quesions. Muliple-choice quesions may coninue on he ne column or page find all choices before making your selecion. The

More information

4 Convolution. Recommended Problems. x2[n] 1 2[n]

4 Convolution. Recommended Problems. x2[n] 1 2[n] 4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.

More information

Second Order Linear Differential Equations

Second Order Linear Differential Equations Second Order Linear Differenial Equaions Second order linear equaions wih consan coefficiens; Fundamenal soluions; Wronskian; Exisence and Uniqueness of soluions; he characerisic equaion; soluions of homogeneous

More information

Continuity Cloud Virtual Firewall Guide

Continuity Cloud Virtual Firewall Guide Cloud Virtual Firwall Guid uh6 Vrsion 1.0 Octobr 2015 Foldr BDR Guid for Vam Pag 1 of 36 Cloud Virtual Firwall Guid CONTENTS INTRODUCTION... 3 ACCESSING THE VIRTUAL FIREWALL... 4 HYPER-V/VIRTUALBOX CONTINUITY

More information

Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry

Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry 0 Inrnaional Confrnc on Economics and Financ Rsarch IPEDR vol.4 (0 (0 IACSIT Prss, Singaor Tchnological Enrrnurshi : Modling and Forcasing h Diffusion of Innovaion in LCD Monior Indusry Li-Ming Chuang,

More information

In the previous two chapters, we clarified what it means for a problem to be decidable or undecidable.

In the previous two chapters, we clarified what it means for a problem to be decidable or undecidable. Chaptr 7 Computational Complxity 7.1 Th Class P In th prvious two chaptrs, w clarifid what it mans for a problm to b dcidabl or undcidabl. In principl, if a problm is dcidabl, thn thr is an algorithm (i..,

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Permutations and Combinations

Permutations and Combinations Permuaions and Combinaions Combinaorics Copyrigh Sandards 006, Tes - ANSWERS Barry Mabillard. 0 www.mah0s.com 1. Deermine he middle erm in he expansion of ( a b) To ge he k-value for he middle erm, divide

More information

Using SAS s PROC GPLOT to plot data and lines

Using SAS s PROC GPLOT to plot data and lines Using SAS s PROC GPLOT to plot data and lins PROC GPLOT crats publication quality color graphics which can asily b xportd into documnts, prsntations, tc. To xport th graphs for futur us click on fil, xport.

More information

Krebs (1972). A group of organisms of the same species occupying a particular space at a particular time

Krebs (1972). A group of organisms of the same species occupying a particular space at a particular time FW 662 Lcur 1 - Dnsiy-indpndn populaion modls Tx: Golli, 21, A Primr of Ecology Wha is a populaion? Krbs (1972). A group of organisms of h sam spcis occupying a paricular spac a a paricular im Col (1957).

More information

Factorials! Stirling s formula

Factorials! Stirling s formula Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical

More information

Interest Parity Conditions. Interest parity conditions are no-arbitrage profit conditions for capital. The easiest way to

Interest Parity Conditions. Interest parity conditions are no-arbitrage profit conditions for capital. The easiest way to World Economy - Inrs Ra Pariy (nry wrin for h Princon Encyclopdia of h World Economy) Inrs Pariy Condiions Th pariy condiions Inrs pariy condiions ar no-arbirag profi condiions for capial. Th asis way

More information

EXTRACTION OF FINANCIAL MARKET EXPECTATIONS ABOUT INFLATION AND INTEREST RATES FROM A LIQUID MARKET. Documentos de Trabajo N.

EXTRACTION OF FINANCIAL MARKET EXPECTATIONS ABOUT INFLATION AND INTEREST RATES FROM A LIQUID MARKET. Documentos de Trabajo N. ETRCTION OF FINNCIL MRKET EPECTTIONS OUT INFLTION ND INTEREST RTES FROM LIQUID MRKET 2009 Ricardo Gimno and José Manul Marqués Documnos d Trabajo N.º 0906 ETRCTION OF FINNCIL MRKET EPECTTIONS OUT INFLTION

More information

(Analytic Formula for the European Normal Black Scholes Formula)

(Analytic Formula for the European Normal Black Scholes Formula) (Analytic Formula for th Europan Normal Black Schols Formula) by Kazuhiro Iwasawa Dcmbr 2, 2001 In this short summary papr, a brif summary of Black Schols typ formula for Normal modl will b givn. Usually

More information

Term Structure of Interest Rates: The Theories

Term Structure of Interest Rates: The Theories Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor

More information

Steps for D.C Analysis of MOSFET Circuits

Steps 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 information

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:

More information

AP Calculus AB 2010 Scoring Guidelines

AP Calculus AB 2010 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in 1, he College

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics 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 information

THE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE (*)

THE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE (*) HE SOCHASIC SEASONA BEHAVIOR OF HE NAURA GAS PRICE Andrés García irans a, Javir Población b and Grgorio Srna c a F. amáicas, Univrsidad d Ovido, Calvo Solo s/n, 337, Ovido, Spain. -mail: andrs_g@lcabl.s

More information

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

Introduction to Measurement, Error Analysis, Propagation of Error, and Reporting Experimental Results

Introduction to Measurement, Error Analysis, Propagation of Error, and Reporting Experimental Results Inroducion o Masurmn, Error Analysis, Propagaion of Error, and Rporing Exprimnal Rsuls AJ Pinar, TD Drummr, D Caspary Dparmn of Chmical Enginring Michigan Tchnological Univrsiy Houghon, MI 4993 Spmbr,

More information

Technical Appendix to Risk, Return, and Dividends

Technical Appendix to Risk, Return, and Dividends Technical Appendix o Risk, Reurn, and Dividends Andrew Ang Columbia Universiy and NBER Jun Liu UC San Diego This Version: 28 Augus, 2006 Columbia Business School, 3022 Broadway 805 Uris, New York NY 10027,

More information

Chapter 4: Exponential and Logarithmic Functions

Chapter 4: Exponential and Logarithmic Functions Chaper 4: Eponenial and Logarihmic Funcions Secion 4.1 Eponenial Funcions... 15 Secion 4. Graphs of Eponenial Funcions... 3 Secion 4.3 Logarihmic Funcions... 4 Secion 4.4 Logarihmic Properies... 53 Secion

More information

A SOFTWARE RELIABILITY MODEL FOR CLOUD-BASED SOFTWARE REJUVENATION USING DYNAMIC FAULT TREES

A SOFTWARE RELIABILITY MODEL FOR CLOUD-BASED SOFTWARE REJUVENATION USING DYNAMIC FAULT TREES Inrnaional Journal of Sofwar Enginring and Knowldg Enginring World Scinific ublihing Company A SOTWARE RELIABILITY MODEL OR CLOUD-BASED SOTWARE REJUVENATION USING DYNAMIC AULT TREES JEAN RAME and AIING

More information

Chapter 10 Function of a Matrix

Chapter 10 Function of a Matrix EE448/58 Vrsion. John Stnsby Chatr Function of a atrix t f(z) b a comlx-valud function of a comlx variabl z. t A b an n n comlxvalud matrix. In this chatr, w giv a dfinition for th n n matrix f(a). Also,

More information

Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing

Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing Uppr Bounding th Pric of Anarchy in Atomic Splittabl Slfish Routing Kamyar Khodamoradi 1, Mhrdad Mahdavi, and Mohammad Ghodsi 3 1 Sharif Univrsity of Tchnology, Thran, Iran, khodamoradi@c.sharif.du Sharif

More information

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m

More information

AP Calculus AB 2007 Scoring Guidelines

AP Calculus AB 2007 Scoring Guidelines AP Calculus AB 7 Scoring Guidelines The College Board: Connecing Sudens o College Success The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and

More information

Inductance and Transient Circuits

Inductance 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 information

Section 7.4: Exponential Growth and Decay

Section 7.4: Exponential Growth and Decay 1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

Stochastic Optimal Control Problem for Life Insurance

Stochastic Optimal Control Problem for Life Insurance Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian

More information

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

LAYOUT OF THE KEYBOARD

LAYOUT OF THE KEYBOARD Dr. Charles Hofmann, LaSalle hofmann@lasalle.edu Dr. Roseanne Hofmann, MCCC rhofman@mc3.edu ------------------------------------------------------------------------------------------------- DISPLAY CONTRAST

More information

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8 Jun 22 Enpris Rnt Author: Documnt Vrsion: Product: Product Vrsion: SAP Vrsion: Enpris Enpris Rnt 88 88 Enpris Rnt 22 Enpris Solutions All rights rsrvd No parts of this work may b rproducd in any form or

More information

A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural

More information

Tutorial for the TI-89 Titanium Calculator

Tutorial for the TI-89 Titanium Calculator SI Physics Tutorial for the TI-89 Titanium Calculator Using Scientific Notation on a TI-89 Titanium calculator From Home, press the Mode button, then scroll down to Exponential Format. Select Scientific.

More information

Foreign Exchange Markets and Exchange Rates

Foreign Exchange Markets and Exchange Rates Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge

More information

Van der Waals Forces Between Atoms

Van der Waals Forces Between Atoms Van dr Waals Forcs twn tos Michal Fowlr /8/7 Introduction Th prfct gas quation of stat PV = NkT is anifstly incapabl of dscribing actual gass at low tpraturs, sinc thy undrgo a discontinuous chang of volu

More information