TMA 4195 Mathematical Modeling, 30 November 2006 Solution with additional comments
|
|
- Griffin Parks
- 5 years ago
- Views:
Transcription
1 TMA 495 Mathematical Modeling, 30 November 006 Solution with additional comments Problem A cookbook states a cooking time of 3.5 hours at the oven temperature T oven For a 0 kg (American) turkey, 7 hours is suggested. (a) How can we derive the heat equation for a 3 kg = kr T; () where the density, the heat capacity c, and the heat transmission k, are constant? We assume that the turkey s heating follows the equation. The heat transfer through the turkey s surface follows Newton s law of heating, where is a constant. krt j surface = (T oven T surface ) ; () (b) The cooking time, t s, has to be dependent on, in addiction to the parameters above, the turkey s diameter D, the temperature di erence between the oven and the turkey before ( T 0 ) and after ( T ) the cooking (We assume that all turkeys are geometrically similar!). Use dimension analysis to nd an epression for t s (Hint: combine the parameters in Eqns. and before you use them in the dimension analysis). (c) After short time, the turkey s surface reach the same temperature of the oven. This implies that equation simpli es to T oven = T surface, and the parameter with disappears. Use this information to simplify dimension analysis and show that t s is proportional to the turkey s weight to the power /3. How does this match with what has been indicated in the cookbook? (a) The heat density is given by ct, and the heat u is j = we obtain the integral conservation law Z Z d ct dv + j nd = 0; krt. Without source terms, This implies - by moving the derivative into the integral, using the divergence theorem, and letting R vary - the di erential formulation c dt + r ( krt ) = 0: (b) We follow the hint in the Problem and assume that t s = t s D; ; k ; T 0; T ; where the heat di usion coe cient is = k= (c).
2 Digression: One could think that T surface and rt j surface should also be considered. However, these quantities are dependent on time and dependent on the temperature variation. This variation is dependent on =k and other parameters. From the equations, we derive that [] = s/m and [=k] = m. Thus, we are able to state the dimension matri as t s D =k T 0 T m s K The matri has rank 3 and, hence we have 3 dimensionless combinations which are easily derived: Thus = ( ; 3 ), or The alternative epression is equally correct. = t s D ; = D k ; 3 = T 0 T ; t s = D D k ; T 0 : T t s = D k ; T 0 T The most elegant solution (found by one of the students) is however to scale the equations and using D for length and t s for time. Then and drop out immediately. (c) If we get rid of, we nd t s = D T0 Since the weight can be written as W = GD 3, where G is a constant dimensionless geometry factor, t s = (W=G)=3 T0 _ W =3 : T With cooking time for the 3 kg turkey is 3.5 hours, the cooking time for a 0 kg turkey should be (assuming that T 0 and T remain the same) t s (0kg) = t s (3kg) T : 0 =3 0 =3 = 3:5 hour = 7:8 hour. 3 3 Eight hours for a 0 kg turkey would therefore be a better rule than seven hours. Problem Let us consider the problem " d y + dy = t; 0 t ; 0 < " ; y (0) = y () = :
3 What do we call such problems? Find, to leading order in ", the outer, inner, and uniform solutions to the problem (Hint: the boundary layer is near t = 0). Since this is an equation with a small parameter in front of the highest derivative, it is called a singular perturbation problem. The leading order outer solution, y 0 (t), is found by setting " = 0, dy 0 = t: The general solution is A + t, but it is impossible to ful l both the boundary conditions, since y (0) = implies that y 0 (t) = + t, and y () = implies that y 0 (t) = t. Given the hint, it is reasonable to try a new time scale, t = around 0. This leads to By choosing = ", the equation becomes " Y + Y = : Y + Y = " ; with a general solution to the leading order, Y 0 () = A + Be (One could think that = " = was a possibility, but this would give an equation Y 0 = 0 which does not help us). If we ful l the boundary condition Y 0 (0) =, we obtain A + B =, or Y 0 () = + A e : The solution would satisfy both boundary conditions if we set A = 0, but we then apply Y 0 outside its admissible region (this misuse of singular perturbation is sometimes seen in science). The matching condition is, in its simplest form, given by and this leads to, by using y 0 () =, lim y 0 (t) = lim Y 0 () ; t!0! 0 = A; or A =. Thus, the uniform solution to the leading order is y (u) t 0 = y 0 (t) + Y 0 y 0 (0) = t + e t=" : " The error around t = is totally negligible. Digression (not part of the eam): The eact solution to the equation is y e (t) = A + Be t " + t t"; and, thus, with a negligible error O e =", y e = t + e t=" + " e t " t : Note that to the leading order in " means the O () term and not O ("). 3
4 3 Problem Let (t ) be the cod population in an ocean region as a function of time t. The region may hold a maimum sustainable amount of sh equal to K, and, as long as shing is prohibited and K, will grow with rate r, d = = r. We assume that the amount of caught sh per time unit is B, where B is the number of participating boats, and is a constant. (a) State a model for the amount of sh such that, using a suitable scale, we obtain the form d (t) = (t) (t) (t) : (b) Discuss the equilibrium points for di erent values of. Sketch the possible trajectories path for the amount of sh. (c) Find an epression for the number of boats giving an optimal management of the sh resources. (a) The equation suggests we should assume a logistic model in absence of shing activities. Thus, we nd immediately that d = r B K We scale the model by setting = K; t = r t Thus, or Kr d = rk ( ) KB; _ = ( ) ; = B r : (b) The equilibrium solutions are = 0; = : Using straightforward linear stability and d ( ( ) ) d = ; we obtain that is stable for > and unstable for <, while is stable for < and unstable for > (the physical acceptable points are clearly, 0). 4
5 If =, the equation becomes _ = ; and both equilibrium solutions coincide at = 0. This equation can be solved generally: i.e. = t + C; = t + C ; and also = 0, as obviously is a solution. If we start in (0) > 0 and close to 0, we have (t)! 0 when t!. If, on the contrary and un-physically, (0) = =C < 0, we have (t)! when t! C. The equilibrium point is stable for =, since we have that 0, and the answer is as follows: s = ma f ; 0g ; 0 is stable, while is unstable. u = 0; 0 < ; (c) A constant outtake per time unit can be epressed as Q = (B) = (B) K( ) = (r) K( ) = Kr( ); (3) and this has a maimum for = =, that is B = r=(), and = K=. 4 Problem In this problem we study the tra c along a road (a one-way street towards + and without in- or out- ow for the moment). We further assume that all variables are scaled so that the car density is between 0 and, and the car speed v is. (a) Show how one derives an epression for the speed U of a shock in the car density, and that we in this case obtain U =, where and are the densities on each side of the shock. Assume that the car density along the road for t < 0 is equal to =. Between t = 0 and t = the cars get a red light due to a pedestrian crossing placed in = 0. For t >, the light is green. (b) Find the solution (; t) for t 0. (Hint: make a sketch of the situation in an -t-diagram. Show that the solution for has to be determined in 5 di erent regions, where the values in 4 of them is obvious. In order to nd the regions, one has to nd their borders). A second road (with similar properties as the rst one) is now merging from the side with the rst one. (c) Which conservation law has to be ful lled at the merging point? Assume that the u on the rst road is constant, j = =8, and that the density is less than =. Describe (without further calculations) the evolution of the car density on the rst road when the density on the second road increases from 0 to. The cars on the rst road are eible and let entering cars merge whenever it is possible. Consider in particular what happens when the u on the second road reaches =8. 5
6 C t D A Epansion wave B G ρ = ρ =0 ρ =/ ρ =/ O Figur : Sketch of the situation around the crossing. This is the so-called standard model: 0 ; v = ; j = ( ). The conservation law can be written as Z d b d + j (b) a j (a) = 0; (4) or in di erential form, t + ( ( )) = t + ( ) = 0: (a) We nd out the shock speed by considering a shock with speed U in the interval [a; b]. The density to the left of the shock is, while the one on the right. By using the equation 4, we obtain ( ) U = ( ) ( ) ; or,. U = : (b) For = = the characteristics are vertical, and we have a situation as sketched in gure For the shock OA, = and = =, in other words, the shock speed is U OA = =. In an analogous way we nd that U OB = =, U GB = and U GA =. The point A is at =, t =, and B is at =, t =. Within the rarefaction wave, the solution is given by or = =, while = e (; t) = = c () (t ) = ( ) (t ) ; e (; t) = : t It remains to nd the shocks AC and BD. In a point (; t) on the shock AC we have that t. Therefore, U (; t) = 6 = t (t ) :
7 j j j out Figur : The second road merges with the rst road. The equation for the shock becomes _ = () = : (t ) ; The equation is separable and the solution is AC (t) = p t ; t. In a equivalent way we nd BD = p t. Thus, the solution is completely determined. (c) The situation is sketched in gure. Since the crossing is not a parking lot, we must have We know that j = =8, but the equation j + j = j out : j = 8 = ( ) has to possible solutions, ; = r 8 : Here, since we also know that < =, the density is equal to As long as j < =8 the u j out < =4, the maimum value. When j passes =8, cars will pile up on the second road in front of the crossing. Since the out ow from the second way can at most be =8, the cars density just before the crossroad becomes f = + r 8 : In the back of the line we have a shock moving backward with speed U = f : up to = f. When increases further from f, the u of the cars on the second road will be so small (</8) that all may enter without problems! q 8. 7
TMA 4195 Mathematical Modelling December 12, 2007 Solution with additional comments
Problem TMA 495 Mathematical Modelling December, 007 Solution with additional comments The air resistance, F, of a car depends on its length, L, cross sectional area, A, its speed relative to the air,
More informationTMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments
Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary
More informationM445: Heat equation with sources
M5: Heat equation with sources David Gurarie I. On Fourier and Newton s cooling laws The Newton s law claims the temperature rate to be proportional to the di erence: d dt T = (T T ) () The Fourier law
More informationExam in TMA4195 Mathematical Modeling Solutions
Norwegian University of Science and Technology Department of Mathematical Sciences Page of 9 Exam in TMA495 Mathematical Modeling 6..07 Solutions Problem a Here x, y are two populations varying with time
More informationFixed Point Theorem and Sequences in One or Two Dimensions
Fied Point Theorem and Sequences in One or Two Dimensions Dr. Wei-Chi Yang Let us consider a recursive sequence of n+ = n + sin n and the initial value can be an real number. Then we would like to ask
More informationHomework 2 Solutions Math 307 Summer 17
Homework 2 Solutions Math 307 Summer 17 July 8, 2017 Section 2.3 Problem 4. A tank with capacity of 500 gallons originally contains 200 gallons of water with 100 pounds of salt in solution. Water containing
More information2016 FAMAT Convention Mu Integration 1 = 80 0 = 80. dx 1 + x 2 = arctan x] k2
6 FAMAT Convention Mu Integration. A. 3 3 7 6 6 3 ] 3 6 6 3. B. For quadratic functions, Simpson s Rule is eact. Thus, 3. D.. B. lim 5 3 + ) 3 + ] 5 8 8 cot θ) dθ csc θ ) dθ cot θ θ + C n k n + k n lim
More informationMATH 104 Practice Problems for Exam 2
. Find the area between: MATH 4 Practice Problems for Eam (a) =, y = / +, y = / (b) y = e, y = e, = y = and the ais, for 4.. Calculate the volume obtained by rotating: (a) The region in problem a around
More informationLinearized methods for ordinary di erential equations
Applied Mathematics and Computation 104 (1999) 109±19 www.elsevier.nl/locate/amc Linearized methods for ordinary di erential equations J.I. Ramos 1 Departamento de Lenguajes y Ciencias de la Computacion,
More informationANOTHER FIVE QUESTIONS:
No peaking!!!!! See if you can do the following: f 5 tan 6 sin 7 cos 8 sin 9 cos 5 e e ln ln @ @ Epress sin Power Series Epansion: d as a Power Series: Estimate sin Estimate MACLAURIN SERIES ANOTHER FIVE
More information23.1 Chapter 8 Two-Body Central Force Problem (con)
23 Lecture 11-20 23.1 Chapter 8 Two-Body Central Force Problem (con) 23.1.1 Changes of Orbit Before we leave our discussion of orbits we shall discuss how to change from one orbit to another. Consider
More informationName: October 24, 2014 ID Number: Fall Midterm I. Number Total Points Points Obtained Total 40
Math 307O: Introduction to Differential Equations Name: October 24, 204 ID Number: Fall 204 Midterm I Number Total Points Points Obtained 0 2 0 3 0 4 0 Total 40 Instructions.. Show all your work and box
More informationMATH 2300 review problems for Exam 3 ANSWERS
MATH 300 review problems for Eam 3 ANSWERS. Check whether the following series converge or diverge. In each case, justif our answer b either computing the sum or b b showing which convergence test ou are
More information1. (a) Sketch the graph of a function that has two local maxima, one local minimum, and no absolute minimum. Solution: Such a graph is shown below.
MATH 9 Eam (Version ) Solutions November 7, S. F. Ellermeer Name Instructions. Your work on this eam will be graded according to two criteria: mathematical correctness and clarit of presentation. In other
More informationSection 7.4 #1, 5, 6, 8, 12, 13, 44, 53; Section 7.5 #7, 10, 11, 20, 22; Section 7.7 #1, 4, 10, 15, 22, 44
Math B Prof. Audrey Terras HW #4 Solutions Due Tuesday, Oct. 9 Section 7.4 #, 5, 6, 8,, 3, 44, 53; Section 7.5 #7,,,, ; Section 7.7 #, 4,, 5,, 44 7.4. Since 5 = 5 )5 + ), start with So, 5 = A 5 + B 5 +.
More informationAPPM 1360 Final Exam Spring 2016
APPM 36 Final Eam Spring 6. 8 points) State whether each of the following quantities converge or diverge. Eplain your reasoning. a) The sequence a, a, a 3,... where a n ln8n) lnn + ) n!) b) ln d c) arctan
More informationWarmup quick expansions
Pascal s triangle: 1 1 1 1 2 1 Warmup quick expansions To build Pascal s triangle: Start with 1 s on the end. Add two numbers above to get a new entry. For example, the circled 3 is the sum of the 1 and
More informationChapter 5 - Differentiating Functions
Chapter 5 - Differentiating Functions Section 5.1 - Differentiating Functions Differentiation is the process of finding the rate of change of a function. We have proven that if f is a variable dependent
More informationSolutions to Math 41 Final Exam December 9, 2013
Solutions to Math 4 Final Eam December 9,. points In each part below, use the method of your choice, but show the steps in your computations. a Find f if: f = arctane csc 5 + log 5 points Using the Chain
More informationx = y = A = (1) (2) = 2.
MATH 3 Final Eam (Version 1) Solutions May, 8 S. F. Ellermeyer Name Instructions. Your work on this eam will be graded according to two criteria: mathematical correctness and clarity of presentation. In
More information4.4 Using partial fractions
CHAPTER 4. INTEGRATION 43 Eample 4.9. Compute ln d. (Classic A-Level question!) ln d ln d ln d (ln ) + C. Eample 4.0. Find I sin d. I sin d sin p d p sin. 4.4 Using partial fractions Sometimes we want
More informationSolutions to the Review Questions
Solutions to the Review Questions Short Answer/True or False. True or False, and explain: (a) If y = y + 2t, then 0 = y + 2t is an equilibrium solution. False: (a) Equilibrium solutions are only defined
More information4x x dx. 3 3 x2 dx = x3 ln(x 2 )
Problem. a) Compute the definite integral 4 + d This can be done by a u-substitution. Take u = +, so that du = d, which menas that 4 d = du. Notice that u() = and u() = 6, so our integral becomes 6 u du
More informationMath 231 Final Exam Review
Math Final Eam Review Find the equation of the line tangent to the curve 4y y at the point (, ) Find the slope of the normal line to y ) ( e at the point (,) dy Find d if cos( y) y 4 y 4 Find the eact
More informationMath 1B Final Exam, Solution. Prof. Mina Aganagic Lecture 2, Spring (6 points) Use substitution and integration by parts to find:
Math B Final Eam, Solution Prof. Mina Aganagic Lecture 2, Spring 20 The eam is closed book, apart from a sheet of notes 8. Calculators are not allowed. It is your responsibility to write your answers clearly..
More informationNotes for Introduction to Partial Di erential Equations, Fall 2018
Notes for Introduction to Partial Di erential Equations, Fall 2018 Esteban G. Tabak 1 Tra c Flow We eplore a simple mathematical model for tra c flow. This will be our introduction to systems of conservation
More informationMath 1270 Honors ODE I Fall, 2008 Class notes # 14. x 0 = F (x; y) y 0 = G (x; y) u 0 = au + bv = cu + dv
Math 1270 Honors ODE I Fall, 2008 Class notes # 1 We have learned how to study nonlinear systems x 0 = F (x; y) y 0 = G (x; y) (1) by linearizing around equilibrium points. If (x 0 ; y 0 ) is an equilibrium
More informationAnswer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26.
Answer Key 969 BC 97 BC. C. E. B. D 5. E 6. B 7. D 8. C 9. D. A. B. E. C. D 5. B 6. B 7. B 8. E 9. C. A. B. E. D. C 5. A 6. C 7. C 8. D 9. C. D. C. B. A. D 5. A 6. B 7. D 8. A 9. D. E. D. B. E. E 5. E.
More informationTMA4195 Mathematical modelling Autumn 2012
Norwegian University of Science an Technology Department of Mathematical Sciences TMA495 Mathematical moelling Autumn 202 Solutions to exam December, 202 Dimensional matrix A: τ µ u r m - - s 0-2 - - 0
More informationDIFFERENTIATION RULES
3 DIFFERENTIATION RULES DIFFERENTIATION RULES Before starting this section, you might need to review the trigonometric functions. DIFFERENTIATION RULES In particular, it is important to remember that,
More informationWaves on 2 and 3 dimensional domains
Chapter 14 Waves on 2 and 3 dimensional domains We now turn to the studying the initial boundary value problem for the wave equation in two and three dimensions. In this chapter we focus on the situation
More informationApplied cooperative game theory:
Applied cooperative game theory: The gloves game Harald Wiese University of Leipzig April 2010 Harald Wiese (Chair of Microeconomics) Applied cooperative game theory: April 2010 1 / 29 Overview part B:
More informationExam 2 Solutions, Math March 17, ) = 1 2
Eam Solutions, Math 56 March 7, 6. Use the trapezoidal rule with n = 3 to approimate (Note: The eact value of the integral is ln 5 +. (you do not need to verify this or use it in any way to complete this
More informationMA 114 Worksheet #01: Integration by parts
Fall 8 MA 4 Worksheet Thursday, 3 August 8 MA 4 Worksheet #: Integration by parts. For each of the following integrals, determine if it is best evaluated by integration by parts or by substitution. If
More informationAnswers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16)
Answers for NSSH eam paper type of questions, based on the syllabus part (includes 6) Section Integration dy 6 6. (a) Integrate with respect to : d y c ( )d or d The curve passes through P(,) so = 6/ +
More informationWe are working with degree two or
page 4 4 We are working with degree two or quadratic epressions (a + b + c) and equations (a + b + c = 0). We see techniques such as multiplying and factoring epressions and solving equations using factoring
More information(a) Show that there is a root α of f (x) = 0 in the interval [1.2, 1.3]. (2)
. f() = 4 cosec 4 +, where is in radians. (a) Show that there is a root α of f () = 0 in the interval [.,.3]. Show that the equation f() = 0 can be written in the form = + sin 4 Use the iterative formula
More informationAnswer Key. ( 1) n (2x+3) n. n n=1. (2x+3) n. = lim. < 1 or 2x+3 < 4. ( 1) ( 1) 2n n
Math Midterm Eam #3 December, 3 Answer Key. [5 Points] Find the Interval and Radius of Convergence for the following power series. Analyze carefully and with full justification. Use Ratio Test. L lim a
More informationASSIGNMENT COVER SHEET omicron
ASSIGNMENT COVER SHEET omicron Name Question Done Backpack Ready for test Drill A differentiation Drill B sketches Drill C Partial fractions Drill D integration Drill E differentiation Section A integration
More informationMath 1050 Final Exam Form A College Algebra Fall Semester Student ID ID Verification Section Number
Math 1050 Final Eam Form A College Algebra Fall Semester 2010 Instructor Name Student ID ID Verification Section Number Time Limit: 120 minutes Graphing calculators without CAS are allowed. All problems
More information1. Taylor Polynomials of Degree 1: Linear Approximation. Reread Example 1.
Math 114, Taylor Polynomials (Section 10.1) Name: Section: Read Section 10.1, focusing on pages 58-59. Take notes in your notebook, making sure to include words and phrases in italics and formulas in blue
More informationMAS221 Analysis Semester Chapter 2 problems
MAS221 Analysis Semester 1 2018-19 Chapter 2 problems 20. Consider the sequence (a n ), with general term a n = 1 + 3. Can you n guess the limit l of this sequence? (a) Verify that your guess is plausible
More informationProjection Methods. Michal Kejak CERGE CERGE-EI ( ) 1 / 29
Projection Methods Michal Kejak CERGE CERGE-EI ( ) 1 / 29 Introduction numerical methods for dynamic economies nite-di erence methods initial value problems (Euler method) two-point boundary value problems
More informationDifferentiating Functions & Expressions - Edexcel Past Exam Questions
- Edecel Past Eam Questions. (a) Differentiate with respect to (i) sin + sec, (ii) { + ln ()}. 5-0 + 9 Given that y =, ¹, ( -) 8 (b) show that = ( -). (6) June 05 Q. f() = e ln, > 0. (a) Differentiate
More informationMath 215/255 Final Exam, December 2013
Math 215/255 Final Exam, December 2013 Last Name: Student Number: First Name: Signature: Instructions. The exam lasts 2.5 hours. No calculators or electronic devices of any kind are permitted. A formula
More informationIt is convenient to introduce some notation for this type of problems. I will write this as. max u (x 1 ; x 2 ) subj. to. p 1 x 1 + p 2 x 2 m ;
4 Calculus Review 4.1 The Utility Maimization Problem As a motivating eample, consider the problem facing a consumer that needs to allocate a given budget over two commodities sold at (linear) prices p
More informationIntegration Techniques for the AB exam
For the AB eam, students need to: determine antiderivatives of the basic functions calculate antiderivatives of functions using u-substitution use algebraic manipulation to rewrite the integrand prior
More informationName Date Period. Worksheet 5.5 Partial Fractions & Logistic Growth Show all work. No calculator unless stated. Multiple Choice
Name Date Period Worksheet 5.5 Partial Fractions & Logistic Growth Show all work. No calculator unless stated. Multiple Choice 1. The spread of a disease through a community can be modeled with the logistic
More informationAdvanced Microeconomics
Advanced Microeconomics Cooperative game theory Harald Wiese University of Leipzig Harald Wiese (University of Leipzig) Advanced Microeconomics 1 / 45 Part D. Bargaining theory and Pareto optimality 1
More informationDIFFERENTIATION RULES
3 DIFFERENTIATION RULES DIFFERENTIATION RULES Before starting this section, you might need to review the trigonometric functions. DIFFERENTIATION RULES In particular, it is important to remember that,
More informationSolutions to Problem Set 4 Macro II (14.452)
Solutions to Problem Set 4 Macro II (14.452) Francisco A. Gallego 05/11 1 Money as a Factor of Production (Dornbusch and Frenkel, 1973) The shortcut used by Dornbusch and Frenkel to introduce money in
More informationSolutions to the Review Questions
Solutions to the Review Questions Short Answer/True or False. True or False, and explain: (a) If y = y + 2t, then 0 = y + 2t is an equilibrium solution. False: This is an isocline associated with a slope
More informationPhysics 430, Classical Mechanics Exam 1, 2010 Oct 05
Physics 430, Classical Mechanics Eam, 00 Oct 05 Name Instructions: No books, notes, or cheat sheet allowed. You may use a calculator, but no other electronic devices during the eam. Please turn your cell
More informationExpanding brackets and factorising
CHAPTER 8 Epanding brackets and factorising 8 CHAPTER Epanding brackets and factorising 8.1 Epanding brackets There are three rows. Each row has n students. The number of students is 3 n 3n. Two students
More informationENGI 3424 First Order ODEs Page 1-01
ENGI 344 First Order ODEs Page 1-01 1. Ordinary Differential Equations Equations involving only one independent variable and one or more dependent variables, together with their derivatives with respect
More informationKey- Math 231 Final Exam Review
Key- Math Final Eam Review Find the equation of the line tangent to the curve y y at the point (, ) y-=(-/)(-) Find the slope of the normal line to y ) ( e at the point (,) dy Find d if cos( y) y y (ysiny+y)/(-siny-y^-^)
More information1.2. Direction Fields: Graphical Representation of the ODE and its Solution Let us consider a first order differential equation of the form dy
.. Direction Fields: Graphical Representation of the ODE and its Solution Let us consider a first order differential equation of the form dy = f(x, y). In this section we aim to understand the solution
More informationMath Notes on sections 7.8,9.1, and 9.3. Derivation of a solution in the repeated roots case: 3 4 A = 1 1. x =e t : + e t w 2.
Math 7 Notes on sections 7.8,9., and 9.3. Derivation of a solution in the repeated roots case We consider the eample = A where 3 4 A = The onl eigenvalue is = ; and there is onl one linearl independent
More informationModeling with differential equations
Mathematical Modeling Lia Vas Modeling with differential equations When trying to predict the future value, one follows the following basic idea. Future value = present value + change. From this idea,
More informationSMA 208: Ordinary differential equations I
SMA 208: Ordinary differential equations I Modeling with First Order differential equations Lecturer: Dr. Philip Ngare (Contacts: pngare@uonbi.ac.ke, Tue 12-2 PM) School of Mathematics, University of Nairobi
More informationVelocity and Acceleration
Velocity and Acceleration Part 1: Limits, Derivatives, and Antiderivatives In R 3 ; vector-valued functions are of the form r (t) = hf (t) ; g (t) ; h (t)i ; t in [a; b] If f (t) ; g (t) ; and h (t) are
More informationMA 8101 Stokastiske metoder i systemteori
MA 811 Stokastiske metoder i systemteori AUTUMN TRM 3 Suggested solution with some extra comments The exam had a list of useful formulae attached. This list has been added here as well. 1 Problem In this
More informationHomework #4 Solutions
MAT 303 Spring 03 Problems Section.: 0,, Section.:, 6,, Section.3:,, 0,, 30 Homework # Solutions..0. Suppose that the fish population P(t) in a lake is attacked by a disease at time t = 0, with the result
More informationSolutions to Test #1 MATH 2421
Solutions to Test # MATH Pulhalskii/Kawai (#) Decide whether the following properties are TRUE or FALSE for arbitrary vectors a; b; and c: Circle your answer. [Remember, TRUE means that the statement is
More informationCalculus AB Semester 1 Final Review
Name Period Calculus AB Semester Final Review. Eponential functions: (A) kg. of a radioactive substance decay to kg. after years. Find how much remains after years. (B) Different isotopes of the same element
More information1.5 The Derivative (2.7, 2.8 & 2.9)
1.5. THE DERIVATIVE (2.7, 2.8 & 2.9) 47 1.5 The Derivative (2.7, 2.8 & 2.9) The concept we are about to de ne is not new. We simply give it a new name. Often in mathematics, when the same idea seems to
More informationEuler s Method and Logistic Growth (BC Only)
Euler s Method Students should be able to: Approximate numerical solutions of differential equations using Euler s method without a calculator. Recognize the method as a recursion formula extension of
More informationUBC-SFU-UVic-UNBC Calculus Exam Solutions 7 June 2007
This eamination has 15 pages including this cover. UBC-SFU-UVic-UNBC Calculus Eam Solutions 7 June 007 Name: School: Signature: Candidate Number: Rules and Instructions 1. Show all your work! Full marks
More informationLösningsförslag till tenta i ODE och matematisk modellering, MMG511, MVE162 (MVE161)
MATEMATIK Datum: 8-5-8 Tid: 8- - - GU, Chalmers Hjälpmedel: - Inga A.Heintz Teleonvakt: Jonatan Kallus Tel.: 55 Lösningsörslag till tenta i ODE och matematisk modellering, MMG5, MVE6 (MVE6). Formulate
More information2. Equations of Stellar Structure
2. Equations of Stellar Structure We already discussed that the structure of stars is basically governed by three simple laws, namely hyostatic equilibrium, energy transport and energy generation. In this
More informationFirst-Order Differential Equations
CHAPTER 1 First-Order Differential Equations 1. Diff Eqns and Math Models Know what it means for a function to be a solution to a differential equation. In order to figure out if y = y(x) is a solution
More informationQuantitative Techniques - Lecture 8: Estimation
Quantitative Techniques - Lecture 8: Estimation Key words: Estimation, hypothesis testing, bias, e ciency, least squares Hypothesis testing when the population variance is not known roperties of estimates
More informationChapter 5 Symbolic Increments
Chapter 5 Symbolic Increments The main idea of di erential calculus is that small changes in smooth functions are approimately linear. In Chapter 3, we saw that most microscopic views of graphs appear
More informationLesson 7: Thermal and Mechanical Element Math Models in Control Systems. 1 lesson7et438a.pptx. After this presentation you will be able to:
Lesson 7: Thermal and Mechanical Element Math Models in Control Systems ET 438a Automatic Control Systems Technology Learning Objectives After this presentation you will be able to: Explain how heat flows
More informationLinear Algebra. James Je Heon Kim
Linear lgebra James Je Heon Kim (jjk9columbia.edu) If you are unfamiliar with linear or matrix algebra, you will nd that it is very di erent from basic algebra or calculus. For the duration of this session,
More information8 Autonomous first order ODE
8 Autonomous first order ODE There are different ways to approach differential equations. Prior to this lecture we mostly dealt with analytical methods, i.e., with methods that require a formula as a final
More informatione x for x 0. Find the coordinates of the point of inflexion and justify that it is a point of inflexion. (Total 7 marks)
Chapter 0 Application of differential calculus 014 GDC required 1. Consider the curve with equation f () = e for 0. Find the coordinates of the point of infleion and justify that it is a point of infleion.
More informationTransition Density Function and Partial Di erential Equations
Transition Density Function and Partial Di erential Equations In this lecture Generalised Functions - Dirac delta and heaviside Transition Density Function - Forward and Backward Kolmogorov Equation Similarity
More informationPROBLEM 2 (25 pts) A spherically symmetric electric field r
POBLEM 1 (8 pts) Answer the following questions, justifying your answers with one short sentence. (a) A house has two lightning rods on its roof, one with a sphere on the end, the other with a pointy tip.
More information( ) ( ) = (2) u u u v v v w w w x y z x y z x y z. Exercise [17.09]
Eercise [17.09] Suppose is a region of (Newtonian) space, defined at a point in time t 0. Let T(t,r) be the position at time t of a test particle (of insignificantly tiny mass) that begins at rest at point
More informationMath 1280 Notes 4 Last section revised, 1/31, 9:30 pm.
1 competing species Math 1280 Notes 4 Last section revised, 1/31, 9:30 pm. This section and the next deal with the subject of population biology. You will already have seen examples of this. Most calculus
More informationMath 2300 Calculus II University of Colorado Final exam review problems
Math 300 Calculus II University of Colorado Final exam review problems. A slope field for the differential equation y = y e x is shown. Sketch the graphs of the solutions that satisfy the given initial
More informationReview of Lecture 5. F = GMm r 2. = m dv dt Expressed in terms of altitude x = r R, we have. mv dv dx = GMm. (R + x) 2. Max altitude. 2GM v 2 0 R.
Review of Lecture 5 Models could involve just one or two equations (e.g. orbit calculation), or hundreds of equations (as in climate modeling). To model a vertical cannon shot: F = GMm r 2 = m dv dt Expressed
More information3.4 Using the First Derivative to Test Critical Numbers (4.3)
118 CHAPTER 3. APPLICATIONS OF THE DERIVATIVE 3.4 Using the First Derivative to Test Critical Numbers (4.3) 3.4.1 Theory: The rst derivative is a very important tool when studying a function. It is important
More informationB.Tech. Theory Examination (Semester IV) Engineering Mathematics III
Solved Question Paper 5-6 B.Tech. Theory Eamination (Semester IV) 5-6 Engineering Mathematics III Time : hours] [Maimum Marks : Section-A. Attempt all questions of this section. Each question carry equal
More informationMath 116 Second Midterm November 12, 2014
Math 6 Second Midterm November 2, 204 Name: EXAM SOLUTIONS Instructor: Section:. Do not open this eam until you are told to do so. 2. This eam has 3 pages including this cover. There are 9 problems. Note
More information3.7 Indeterminate Forms - l Hôpital s Rule
3.7. INDETERMINATE FORMS - L HÔPITAL S RULE 4 3.7 Indeterminate Forms - l Hôpital s Rule 3.7. Introduction An indeterminate form is a form for which the answer is not predictable. From the chapter on lits,
More informationMath 266, Midterm Exam 1
Math 266, Midterm Exam 1 February 19th 2016 Name: Ground Rules: 1. Calculator is NOT allowed. 2. Show your work for every problem unless otherwise stated (partial credits are available). 3. You may use
More informationThe Comparison Test & Limit Comparison Test
The Comparison Test & Limit Comparison Test Math4 Department of Mathematics, University of Kentucky February 5, 207 Math4 Lecture 3 / 3 Summary of (some of) what we have learned about series... Math4 Lecture
More information8.4 Integration of Rational Functions by Partial Fractions Lets use the following example as motivation: Ex: Consider I = x+5
Math 2-08 Rahman Week6 8.4 Integration of Rational Functions by Partial Fractions Lets use the following eample as motivation: E: Consider I = +5 2 + 2 d. Solution: Notice we can easily factor the denominator
More information9. TRANSFORMING TOOL #2 (the Multiplication Property of Equality)
9 TRANSFORMING TOOL # (the Multiplication Property of Equality) a second transforming tool THEOREM Multiplication Property of Equality In the previous section, we learned that adding/subtracting the same
More informationExam 2 Review F15 O Brien. Exam 2 Review:
Eam Review:.. Directions: Completely rework Eam and then work the following problems with your book notes and homework closed. You may have your graphing calculator and some blank paper. The idea is to
More informationChoose three of: Choose three of: Choose three of:
MATH Final Exam (Version ) Solutions July 8, 8 S. F. Ellermeyer Name Instructions. Remember to include all important details of your work. You will not get full credit (or perhaps even any partial credit)
More informationabc Mathematics Further Pure General Certificate of Education SPECIMEN UNITS AND MARK SCHEMES
abc General Certificate of Education Mathematics Further Pure SPECIMEN UNITS AND MARK SCHEMES ADVANCED SUBSIDIARY MATHEMATICS (56) ADVANCED SUBSIDIARY PURE MATHEMATICS (566) ADVANCED SUBSIDIARY FURTHER
More informationRigid Body Dynamics, SG2150 Solutions to Exam,
KTH Mechanics 011 10 Calculational problems Rigid Body Dynamics, SG150 Solutions to Eam, 011 10 Problem 1: A slender homogeneous rod of mass m and length a can rotate in a vertical plane about a fied smooth
More informationwhere v is the velocity of the particles. In this case the density of photons is given by the radiative energy density : U = at 4 (5.
5.3. CONECIE RANSOR where v is the velocity of the particles. In this case the density of photons is given by the riative energy density : U = a 4 (5.11) where a is the riation density constant, and so
More informationTaylor Series and Series Convergence (Online)
7in 0in Felder c02_online.te V3 - February 9, 205 9:5 A.M. Page CHAPTER 2 Taylor Series and Series Convergence (Online) 2.8 Asymptotic Epansions In introductory calculus classes the statement this series
More informationCALCULUS AB SECTION II, Part A
CALCULUS AB SECTION II, Part A Time 45 minutes Number of problems 3 A graphing calculator is required for some problems or parts of problems. pt 1. The rate at which raw sewage enters a treatment tank
More informationGAP CLOSING. Intermediate/ Senior Student Book
GAP CLOSING Intermediate/ Senior Student Book Diagnostic...3 Using Guess and Test...6 Using a Balance Model...10 Using Opposite Operations...16 Rearranging Equations and Formulas...21 Diagnostic 1. Hassan
More informationReduced-order modelling and parameter estimation for a quarter-car suspension system
81 Reduced-order modelling and parameter estimation for a quarter-car suspension system C Kim and PIRo* Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North
More information