UCLA: Math 3B Problem set 7 (solutions) Fall, 2017

Similar documents
UCLA: Math 3B Problem set 8 (solutions) Fall, 2016

MT410 EXAM 1 SAMPLE 1 İLKER S. YÜCE DECEMBER 13, 2010 QUESTION 1. SOLUTIONS OF SOME DIFFERENTIAL EQUATIONS. dy dt = 4y 5, y(0) = y 0 (1) dy 4y 5 =

Basic Theory of Differential Equations

Differential Equation (DE): An equation relating an unknown function and one or more of its derivatives.

Problem Set. Assignment #1. Math 3350, Spring Feb. 6, 2004 ANSWERS

Sample Questions, Exam 1 Math 244 Spring 2007

Solution. It is evaluating the definite integral r 1 + r 4 dr. where you can replace r by any other variable.

MATH 294???? FINAL # 4 294UFQ4.tex Find the general solution y(x) of each of the following ODE's a) y 0 = cosecy

ENGI 3424 First Order ODEs Page 1-01

Math 308 Exam I Practice Problems

UCLA: Math 3B Problem set 6 (solutions) Fall, 2018

2.4 Differences Between Linear and Nonlinear Equations 75

Three major steps in modeling: Construction of the Model Analysis of the Model Comparison with Experiment or Observation

= 2e t e 2t + ( e 2t )e 3t = 2e t e t = e t. Math 20D Final Review

P (t) = rp (t) 22, 000, 000 = 20, 000, 000 e 10r = e 10r. ln( ) = 10r 10 ) 10. = r. 10 t. P (30) = 20, 000, 000 e

( ) ( ). ( ) " d#. ( ) " cos (%) " d%

Practice Final Exam Solutions

First Order Linear DEs, Applications

Math 2300 Calculus II University of Colorado Final exam review problems

Exam 2 Solutions, Math March 17, ) = 1 2

Practice Midterm 1 Solutions Written by Victoria Kala July 10, 2017

Review for the Final Exam

8.a: Integrating Factors in Differential Equations. y = 5y + t (2)

Mathematics 3C Summer 3B 2009 Worksheet Solutions NAME: MY WEBSITE: kgracekennedy/sb093c.html

Solution. Your sketch should show both x and y axes marked from 5 to 5 and circles of radius 1, 3, and 5 centered at the origin.

Introduction to di erential equations

Solutions of the Sample Problems for the First In-Class Exam Math 246, Fall 2017, Professor David Levermore

Solutions to the Review Questions

AP Calculus 2 Summer Review Packet

First Order Linear DEs, Applications

Modeling with First-Order Equations

Math Applied Differential Equations

First In-Class Exam Solutions Math 246, Professor David Levermore Tuesday, 21 February log(2)m 40, 000, M(0) = 250, 000.

Chapters 8.1 & 8.2 Practice Problems

Math 122 Fall Handout 15: Review Problems for the Cumulative Final Exam

Math 266 Midterm Exam 2

MATH 251 Examination I October 5, 2017 FORM A. Name: Student Number: Section:

Mathematical Models. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Spring Department of Mathematics

Mathematical Models. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics

Solutions to the Review Questions

D1.3 Separable Differential Equations

Student s Printed Name:

Question Details Secant Formula 1 [ ]

Modeling with First-Order Equations

Solutions to Math 53 First Exam April 20, 2010

MATH 307 Introduction to Differential Equations Autumn 2017 Midterm Exam Monday November

Math 116 Final Exam April 26, 2013

APPM 2360: Final Exam 10:30am 1:00pm, May 6, 2015.

Math 2214 Solution Test 1D Spring 2015

Lecture Notes for Math 251: ODE and PDE. Lecture 6: 2.3 Modeling With First Order Equations

Final exam practice 4 (solutions) UCLA: Math 3B, Winter 2019

Calculus II. George Voutsadakis 1. LSSU Math 152. Lake Superior State University. 1 Mathematics and Computer Science

Homework 2 Solutions Math 307 Summer 17

MATH 1231 MATHEMATICS 1B Calculus Section 3A: - First order ODEs.

Math Applied Differential Equations

REVIEW PROBLEMS FOR MIDTERM I MATH 2373, SPRING 2019 UNIVERSITY OF MINNESOTA ANSWER KEY

The acceleration of gravity is constant (near the surface of the earth). So, for falling objects:

1 Lesson 13: Methods of Integration

1.5. Applications. Theorem The solution of the exponential decay equation with N(0) = N 0 is N(t) = N 0 e kt.

AP Calculus BC 2015 Free-Response Questions

Chapter 6 Differential Equations and Mathematical Modeling. 6.1 Antiderivatives and Slope Fields

Math 308 Exam I Practice Problems

y = sin(x) y = x x = 0 x = 1.

Differential equations

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 2 Solutions

Applied Calculus I Practice Final Exam Solution Notes

ENGI 2422 First Order ODEs - Separable Page 3-01

The Fundamental Theorem of Calculus: Suppose f continuous on [a, b]. 1.) If G(x) = x. f(t)dt = F (b) F (a) where F is any antiderivative

Graded and supplementary homework, Math 2584, Section 4, Fall 2017

1. Why don t we have to worry about absolute values in the general form for first order differential equations with constant coefficients?

1.1. BASIC ANTI-DIFFERENTIATION 21 + C.

MATH 251 Examination I October 8, 2015 FORM A. Name: Student Number: Section:

Review for Final Exam Show your work. Answer in exact form (no rounded decimals) unless otherwise instructed.

Mathematics 256 a course in differential equations for engineering students

Math Exam 02 Review

Practice Final Exam Solutions

Math 116 Practice for Exam 3

MTH_256: Differential Equations Examination II Part 1 of 2 Technology Allowed Examination. Student Name:

Differential Equations

MATH 162 R E V I E W F I N A L E X A M FALL 2016

Applications of the definite integral to rates, velocities and densities

(competition between 2 species) (Laplace s equation, potential theory,electricity) dx4 (chemical reaction rates) (aerodynamics, stress analysis)

Math Notes of 1/26/18. More on DEs

Differential Equations & Separation of Variables

Goals: To develop skills needed to find the appropriate differential equations to use as mathematical models.

APPM 2360: Midterm exam 1 February 15, 2017

Question Details Secant Formula 1 [ ]

Modeling with First Order ODEs (cont). Existence and Uniqueness of Solutions to First Order Linear IVP. Second Order ODEs

MATH 18.01, FALL PROBLEM SET #5 SOLUTIONS (PART II)

REVIEW PROBLEMS FOR MIDTERM I MATH 2373, FALL 2016 ANSWER KEY

EXAM. Exam #1. Math 3350 Summer II, July 21, 2000 ANSWERS

Exam A. Exam 3. (e) Two critical points; one is a local maximum, the other a local minimum.

Math 116 Final Exam April 24, 2017

Diff. Eq. App.( ) Midterm 1 Solutions

Differential Equations Spring 2007 Assignments

Worksheet 9. Math 1B, GSI: Andrew Hanlon. 1 Ce 3t 1/3 1 = Ce 3t. 4 Ce 3t 1/ =

Math 2250 Final Exam Practice Problem Solutions. f(x) = ln x x. 1 x. lim. lim. x x = lim. = lim 2

On linear and non-linear equations.(sect. 2.4).

Differential Equations

Spring 2015 Sample Final Exam

Transcription:

This week you will get practice solving separable differential equations, as well as some practice with linear models *Numbers in parentheses indicate the question has been taken from the textbook: S. J. Schreiber, Calculus for the Life Sciences, Wiley, and refer to the section and question number in the textbook.. (6.3-) In 990 the gross domestic product (GDP) of the United States was $, 464 billion. Suppose the growth rate from 989 to 990 was.08%. Predict the GDP in 003. (Hint: You should assume that the percentage growth rate is constant - not very realistic!). (6.3-8) According to the Department of Health and Human Services, the annual growth rate in the number of marriages per year in 990 in the United States was 9.8% and there were, 448, 000 marriages that year. How many marriages will there be in 004 if the annual growth rate in the number of marriages per year is constant? Solution: Let M(t) be the number of marriages per year at time. If the growth rate in marriages is 9.8% then the number of marriages is modelled by t dm dt = 0.098M So M(t) = Ce 0.098t and using the initial condition, M(0) = 448000 gives M(t) = 448000e 0.047t. The number of marriages in 004 is M(4) 9, 63, 000. 3. (6.3-30) Calculate the infusion rate in milligrams per hour required to maintain a long-term drug concentration of 0 mg/l (i.e., the rate of change of drug in the bo equals zero when the concentration is 0 mg/l). Assume that the half-life of the drug is 3. hours and that the patient has L of blood. 4. (6.3-3) Calculate the infusion rate in milligrams per hour required to maintain a desired drug concentration of mg/l. Assume the patient has.6 L of blood and the half-life of the drug is.7 hours. Solution: The amount of drug (in mg) in the bo y(t) at time t will obey a differential equation of the form = rate in rate out. dt If the drug is being infused at a rate of a mg/h then this is the rate in. If the drug has a half-life of.7 hours, this means, after t hours, the fraction of the drug that is left in the bo is given by ( ) t.7 = e ln.7 t. Thus, in the absence of any infusion, the drug is being expelled by the bo at a rate of d dt e ln.7 t = ln.7 e ln.7 t = ln (current level of drug)..7

Thus if y(t) is the current level of drug in the bo, then at time t the drug is being expelled at a rate of ln.7 y(t) mg/h. This is the rate out. Our differential equation becomes dt = a ln.7 y. Over the long term, the solution of this equation will approach the equilibrium solution y(t) =.7a ln. Over the long term we would like the concentration of the drug to be mg/l, since the patient has.6 L of blood, that means we would like there to be. mg of drug in the bo in the long term. I.e. we want.7a ln =. Rearranging, we get. ln a =.88 mg/h..7. (6.3-34) A drug is given at an infusion rate of 0 mg/h. The drug concentration value determined at 3 hours after the start of the infusion is 8 mg/l. Assuming the patient has L of blood, estimate the half-life of this drug. Solution: The rate in is 0 and the rate out is given by the half life of λ. Using the formula we learnt, this gives ln = 0 dt λ y where y(t) is the amount of drug in the system at time t. Solving the ODE gives y(t) = 0λ )/λ Ce t(ln ln Using the initial condition y(0) = 0 we find that C = 0λ ln. Thus y(t) = 0λ ( e t(ln )/λ). ln To find λ we use y(3) = 8 = 40. Plugging this in produces 40 = 0λ ( e 3(ln )/λ). ln This is not something we can solve using normal methods, so we could just plug it into a computer to get an approximate value: λ.07. 6. (6.3-37) After one hydronamic experiment, a tank contains 300 L of a e solution with a e concentration of g/l. To prepare for the next experiment, the tank is to be rinsed with water flowing in at a rate of L/min, with the well-stirred solution flowing out at the same rate. Write an equation that describes the amount of e in the container. Be sure to identify variables and their units. 7. (6.3-38) At midnight the coroner was called to the scene of the brutal murder of Casper Cooly. The coroner arrived and noted that the air temperature was 70 F and Cooly s bo temperature was 8 F. At a.m., she noted that the bo had cooled to 76 F. The police arrested Cooly s business partner Tatum Twit and charged her with the murder. She has an eyewitness who said she left the theater at p.m. Does her alibi help?

8. (Note: this question is a challenge! It would be too difficult for an exam) A cylindrical water tank, meters in diameter and meters tall, has a small hole in its base of radius 0.0 meters. From the Bernoulli principle in fluid namics one can derive the fact that if the tank is filled to a level of h meters then the water is flowing out of the hole at a rate of A gh m 3 /s where A is the area (in meters squared) of the hole and g is acceleration due to gravity (you may assume g = 0 m/s ). Rainwater is caught by a guttering system and is pouring into the tank at a constant rate of I m 3 /s. (a) Write a differential equation that describes the change in the volume of water (in m 3 /s) held by the tank, over time. Solution: The hole has a radius of 0.0 m so it s area is A = 0.00 = /400 m. Furthermore, if V (t) is the volume at time t and h(t) is the height of the water at time t then V (t) = h(t) (since the tank has radius m). Thus by the formula given in the question, water is flowing out of the hole at a rate of 0 0h(t) = 400 400 V m 3 /s. Thus the total rate of change is given by the rate flowing in, minus the rate flowing out, so dv dt = I 0 400 V = I 40 V. (b) Find the equilibrium solution for this equation (leave your answer in terms of I and ). Solution: The equilibrium solution occurs when dv/dt = 0. I.e. when 0 = I 40 V = I V = 40 I V = 8000I. 40 V (c) If the tank is initially filled up to the 3 meter mark, describe how the volume of the tank behaves over the long term, for different values of I. Solution: If the tank is initially full to the 3 meter mark, then it contains 3 m 3 of water. Thus if 3 = V = 8000I i.e. if 3 I = 8000 0.06 m3 /s

then the volume of the water neither increases or decreases over time. Note that the equilibrium solution is V = 3 9.. If I > 0.06 then the rate of change in the volume is positive and thus the volume of water in the tank increases and approaches the equilibrium. If the equilibrium is greater than, that is 8000I > so if I > /40, then the tank eventually overflows. If I < 0.06 then the water in the tank decreases and approaches the equilibrium from above. (d) Solve the differential equation assuming that I = 0 (i.e. it is not raining). Solution: If I = 0 then the equation we would like to solve is dv dt = 40 V. Separating variables and integrating we get V dv = 40 dt The right hand side is just the integral of a constant and the left hand side is the integral of a square root so we can use the power law to get V = 40 t + C. Initially we have that V (0) = 3 so 3 = C. Putting this into the above solution and solving for V we get V (t) = ( ) 3 80 t. (e) Under the above assumptions, how long would it take for the tank to drain? Here we will declare that the tank is drained once it contains less than 0.00 m 3 of water. Solution: In the case I = 0, the derivative is always negative, so V is always decreasing. Thus we just want to know when V (t) = 0.00. We simple put this into our solution found above

and solve for t: ( 3 0.00 = 80 t 0.00 = 3 80 t 0.00 3 = 80 t 80 0.00 + 80 3 = t. Using a calculator we obtain t 307 seconds ( minutes and 7 seconds). (f) Solve the differential equation assuming that I = 0. but leave the answer as an implicit function (do not try to solve for V (t)). Solution: We begin by separating the variables and integrating, 0. 40 V dv = dt. The integral on the left can be rearranged to 0 V dv. Now we use the substitution u = 0 V, with this choice we have that du dv = 40 V. Now we apply the substitution: 0 V 40 V dv = = 8000 = 8000 0 V 0 V 0 V u u du. Note that we can use polynomial long division to rewrite u u du = u du = ln( u) u. Thus 0 V dv = 8000 = 8000 ( ln( u) u) + C ( ( ln ) ( ) 40 V dv ) 0 V ( ) 40 V dv 0 V ) + C

We can now equate this will the right hand side of the equation above to obtain ( ( ) ) 8000 ln 0 V 0 V = t + C for an arbitrary constant C. To find the value of this constant we use the fact that V (0) = 3. ( ( ) ) 8000 ln 3 0 3 0 = C 0.. Noting also that 0 0.04 and 8000/ 46. we have the final relationship is given by 46. ln( 0.04 V ) 0.9 V = t + 0.. 9. A river flows into a small lake and another river flows out of the lake such that the lake has a constant volume of 000 m 3 (the rate of water flowing in equals the rate of water flowing out). The river flowing into the lake contains a pollutant present at 0. mg/m 3. In this question you will model the total amount of pollutant, y(t), present at time t (Note that y(t) is the total amount of pollutant in the lake and not a concentration). (a) Assume that the river flowing in, flows at a constant rate of 0 m 3 /h. At what rate is the pollutant flowing into the lake (in mg/h)? Solution: Every hour there is 0. milligrams of pollutant entering the lake per meter cubed of water. Since there are 0 m 3 of water entering the lake every hour, there is 0 g/h of pollutant entering the lake. (b) Under the above assumption, write a differential equation describing the change in the level of pollution in the lake. Solution: The differential equation will take the form dt = rate in rate out. Thus we need to find the rate out. There are 0 m 3 flowing out every hour. At time t the concentration of pollutant in the lake is y(t) 000 mg/m3. Thus at time t there is 0y(t) 000 = y(t) 00 mg/h of pollutant leaving the lake. Thus our differential equation is dt = 0 y 00 (c) Assuming that initially there is no pollutant in the lake, solve this differential equation.

Solution: We can use the general solution of the linear model to get y(t) = 000 Ce 0.0t. We assume that y(0) = 0 to get that 0 = 000 C so the final solution is y(t) = 000 ( e 0.0t) (d) Now assume that there is some seasonal variability and that the river flowing in (and thus also the river flowing out), flow at a rate of 40 sin t m 3 /h. Write and solve a differential equation to model this situation, assuming there is initially no pollution in the lake. Solution: Here we repeat the analysis above with the changed assumption. At time t, there is 40 sin t m 3 of water entering the lake every hour. Thus there is 0 sin t g/h of pollutant entering the lake at time t. Now, at time t, there is y(t) milligrams of pollutant in the lake and thus the concentration of pollutant is y(t) 000 mg/m3. Thus there is 40y(t) sin t = y(t) sin t mg/h 000 0 flowing out of the lake. The differential equation is dt = 0 sin t y(t) sin t ( = 0 y ) sin t. 0 0 To solve this we separate variables and integrate 0 000 y = sin t dt. We use the hint to obtain Rearranging we get that the solution is We can use the fact that y(0) = 0 to get 0 ln(000 y) = (t sin(t) cos(t)) + C. y(t) = 000 Cexp ( 0.0(t sin(t) cos(t))) C = 000 so the final solution is ( y(t) = 000 e 0.0(t sin(t) cos(t))). (e) Compare the long term behaviour of the two solutions.

Solution: In the long term, both solution approach 000 as the sin(t) cos(t) term becomes insignificant.