2 Chapter in Review Answers to selected odd-numbered problems begin on page ANS-4.
In Problems 1–10, fill in the blanks or answer true/false.
- The DE y′ − ky = A, where k and A are constants, is autonomous. The critical point
of the equation is a(n)
(attractor or repeller) for k > 0 and a(n)
(attractor or repeller) for k < 0.
- The initial-value problem
has an infinite number of solutions for k =
and no solution for k =
.
- By inspection, two solutions of the differential equation
are
.
- Every autonomous DE
is separable.
- The linear DE
where
are nonzero constants, possesses a constant solution.
- The first-order DE
is not separable.
- If
.
- The linear DE
is also separable.
- The DE
is a second-order equation.
is a solution of the linear first-order differential equation
.
In Problems 11 and 12, construct an autonomous first-order differential equation dy/dx = f(y) whose phase portrait is consistent with the given figure.
FIGURE 2.R.1 Phase portrait in Problem 11
FIGURE 2.R.2 Phase portrait in Problem 12
- The number 0 is a critical point of the autonomous differential equation dx/dt = xn, where n is a positive integer. For what values of n is 0 asymptotically stable? Semi-stable? Unstable? Repeat for the equation dx/dt = −xn.
- Consider the differential equation
, where
The function f(P) has one real zero, as shown in FIGURE 2.R.3. Without attempting to solve the differential equation, estimate the value of limt→
P(t).
FIGURE 2.R.3 Graph for Problem 14
- FIGURE 2.R.4 is a portion of the direction field of a differential equation dy/dx = f(x, y). By hand, sketch two different solution curves, one that is tangent to the lineal element shown in black and the other that is tangent to the lineal element shown in red.
FIGURE 2.R.4 Direction field for Problem 15
- Classify each differential equation as separable, exact, linear, homogeneous, or Bernoulli. Some equations may be more than one kind. Do not solve.
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)
(i)
(j)
(k)
(l)
(m)
(n)
In Problems 17–24, solve the given differential equation.
- (2r2 cos θ sin θ + r cos θ) dθ + (4r + sin θ − 2r cos2θ) dr = 0
In Problems 25–28, express the solution of the given initial-value problem in terms of an integral-defined function.
In Problems 29 and 30, solve the given initial-value problem.
In Problems 31 and 32, solve the given initial-value problem and give the largest interval I on which the solution is defined.
,
,
- (a) Without solving, explain why the initial-value problem
,
has no solution for y0 < 0.
(b) Solve the initial-value problem in part (a) for y0 > 0 and find the largest interval I on which the solution is defined.
- (a) Find an implicit solution of the initial-value problem
,
(b) Find an explicit solution of the problem in part (a) and give the largest interval I over which the solution is defined. A graphing utility may be helpful here.
- Graphs of some members of a family of solutions for a first-order differential equation dy/dx = f(x, y) are shown in FIGURE 2.R.5. The graph of an implicit solution G(x, y) = 0 that passes through the points (1, −1) and (−1, 3) is shown in red. With colored pencils, trace out the solution curves of the solutions y = y1(x) and y = y2(x) defined by the implicit solution such that y1(1) = −1 and y2(−1) = 3. Estimate the interval I on which each solution is defined.
FIGURE 2.R.5 Graph for Problem 35
- Use Euler’s method with step size h = 0.1 to approximate y(1.2) where y(x) is a solution of the initial-value problem y′ = 1 +
y(1) = 9.
- In March 1976, the world population reached 4 billion. A popular news magazine predicted that with an average yearly growth rate of 1.8%, the world population would be 8 billion in 45 years. How does this value compare with that predicted by the model that says the rate of increase is proportional to the population at any time t?
- Iodine-131 is a radioactive liquid used in the treatment of cancer of the thyroid. After one day in storage, analysis shows that initial amount of iodine-131 in a sample has decreased by 8.3%.
(a) Find the amount of iodine-131 remaining in the sample after 8 days.
(b) What is the significance of your answer in part (a)?
- Ötzi the Iceman In 1991 hikers found a well-preserved body of a man partially frozen in a glacier in the Ötztal Alps on the border between Austria and Italy. From the cuts and bruises found on his body, the trauma caused by a blow to his head, and an arrowhead found in his left shoulder, it is likely that Ötzi the Iceman—as he came to be called—was murdered. Through carbon-dating techniques, it was found that the body of Ötzi the Iceman contained 53% as much C-14 as found in a living person. Assume that the Iceman was carbon dated in 1991.
(a) Using the Cambridge half-life of C-14, give an educated guess as to the date of his death.
(b) Then use the technique illustrated in Example 3 of Section 2.7 to calculate the approximate date of his death.
The Iceman in Problem 39
© dpa/Corbis
- Air containing 0.06% carbon dioxide is pumped into a room whose volume is 8000 ft3. The air is pumped in at a rate of 2000 ft3/min, and the circulated air is then pumped out at the same rate. If there is an initial concentration of 0.2% carbon dioxide, determine the subsequent amount in the room at any time. What is the concentration at 10 minutes? What is the steady-state, or equilibrium, concentration of carbon dioxide?
- Solve the differential equation
of the tractrix. See Problem 28 in Exercises 1.3. Assume that the initial point on the y-axis is (0, 10) and that the length of the rope is x = 10 ft.
- Suppose a cell is suspended in a solution containing a solute of constant concentration Cs. Suppose further that the cell has constant volume V and that the area of its permeable membrane is the constant A. By Fick’s law of diffusion, introduced in 1855 by the German physician/physiologist Adolf Eugen Fick (1829–1901), the rate of change of its mass m is directly proportional to the area A and the difference Cs − C(t), where C(t) is the concentration of the solute inside the cell at any time t. Find C(t) if m = V · C(t) and C(0) = C0. See FIGURE 2.R.6.
FIGURE 2.R.6 Cell in Problem 42
- Suppose that as a body cools, the temperature of the surrounding medium increases because it completely absorbs the heat being lost by the body. Let T(t) and Tm(t) be the temperatures of the body and the medium at time t, respectively. If the initial temperature of the body is T1 and the initial temperature of the medium is T2, then it can be shown in this case that Newton’s law of cooling is dT/dt = k(T − Tm), k < 0, where Tm = T2 + B(T1 − T), B > 0 is a constant.
(a) The foregoing DE is autonomous. Use the phase portrait concept of Section 2.1 to determine the limiting value of the temperature T(t) as t →
. What is the limiting value of Tm(t) as t →
?
(b) Verify your answers in part (a) by actually solving the differential equation.
(c) Discuss a physical interpretation of your answers in part (a).
- According to Stefan’s law of radiation, the absolute temperature T of a body cooling in a medium at constant temperature Tm is given by
where k is a constant. Josef Stefan (1835–1893), a mathematical physicist born in the Austrian Empire, published his law of radiation in 1879. Stefan’s law can be used over a greater temperature range than Newton’s law of cooling.
(a) Solve the differential equation.
(b) Show that when T − Tm is small compared to Tm then Newton’s law of cooling approximates Stefan’s law. [Hint: Think binomial series of the right-hand side of the DE.]
- Suppose an RC-series circuit has a variable resistor. If the resistance at time t is defined by
, where
and
are known positive constants, then the differential equation in (10) of Section 2.7 becomes
where C is a constant. If
and
, where
and
are constants, then show that
- A classical problem in the calculus of variations is to find the shape of a curve 𝒞 such that a bead, under the influence of gravity, will slide from point A(0, 0) to point B(x1, y1) in the least time. See FIGURE 2.R.7. It can be shown that a nonlinear differential equation for the shape y(x) of the path is y[1 + (y′)2] = k, where k is a constant. First solve for dx in terms of y and dy, and then use the substitution y = k sin2θ to obtain a parametric form of the solution. The curve 𝒞 turns out to be a cycloid.
FIGURE 2.R.7 Sliding bead in Problem 46
The clepsydra, or water clock, was a device used by the ancient Egyptians, Greeks, Romans, and Chinese to measure the passage of time by observing the change in the height of water that was permitted to flow out of a small hole in the bottom of a container or tank. In Problems 47–50, use the differential equation (see Problems 15–18 in Exercises 2.8)
as a model for the height h of water in a tank at time t. Assume in each of these problems that h(0) = 2 ft corresponds to water filled to the top of the tank, the hole in the bottom is circular with radius
in., g = 32 ft/s2, and c = 0.6.
- Suppose that a tank is made of glass and has the shape of a right-circular cylinder of radius 1 ft. Find the height h(t) of the water.
- For the tank in Problem 47, how far up from its bottom should a mark be made on its side, as shown in FIGURE 2.R.8, that corresponds to the passage of 1 hour? Continue and determine where to place the marks corresponding to the passage of 2 h, 3 h, . . ., 12 h. Explain why these marks are not evenly spaced.
FIGURE 2.R.8 Clepsydra in Problem 48
- Suppose that the glass tank has the shape of a cone with circular cross sections as shown in FIGURE 2.R.9. Can this water clock measure 12 time intervals of length equal to 1 hour? Explain using sound mathematics.
FIGURE 2.R.9 Clepsydra in Problem 49
- Suppose that r = f(h) defines the shape of a water clock for which the time marks are equally spaced. Use the above differential equation to find f(h) and sketch a typical graph of h as a function of r. Assume that the cross-sectional area Ah of the hole is constant. [Hint: In this situation, dh/dt = −a, where a > 0 is a constant.]
- A model for the populations of two interacting species of animals is
Solve for x and y in terms of t.
- Initially, two large tanks A and B each hold 100 gallons of brine. The well-stirred liquid is pumped between the tanks as shown in FIGURE 2.R.10. Use the information given in the figure to construct a mathematical model for the number of pounds of salt x1(t) and x2(t) at time t in tanks A and B, respectively.
FIGURE 2.R.10 Mixing tanks in Problem 52
- It is estimated that the ecosystem of Yellowstone National Park can sustain a grey wolf population of 450. An initial population in 1997 was 40 grey wolves, and it was subsequently determined that the population grew to 95 wolves after 15 years. How many wolves does the mathematical model
predict there will be in the park 30 years after their introduction?
- (a) Use a graphing utility to graph the wolf population P(t) found in Problem 53.
(b) Use the solution P(t) in Problem 53 to find
P(t).
(c) Show that the differential equation in Problem 53 is a special case of Gompertz’s equation ((7) in Section 2.8).
When all the curves in a family G(x, y, c1) = 0 intersect orthogonally all the curves in another family H(x, y, c2) = 0, the families are said to be orthogonal trajectories of each other. See FIGURE 2.R.11. If dy/dx = f(x, y) is the differential equation of one family, then the differential equation for the orthogonal trajectories of this family is dy/dx = −1/f(x, y). In Problems 55–58, find the differential equation of the given family. Find the orthogonal trajectories of this family. Use a graphing utility to graph both families on the same set of coordinate axes.
FIGURE 2.R.11 Orthogonal trajectories
When the orthogonal trajectories of a one-parameter family of curves
are itself, then this family is said to be self-orthogonal. In Problems 59 and 60, use the given method to show that the family of confocal parabolas
is self-orthogonal.
- Suppose the family
is defined in the piecewise manner:
(parabolas opening to the right),
(parabolas opening to the left).
Find the points of intersection of the curves defined by these two equations. Then show that the tangent lines are perpendicular at the points of intersection.
- Show that the differential equation that defines the family
and the differential equation that defines the orthogonal trajectories of the given family are the same.
Contributed Problem
Rick Wicklin, PhD
Senior Researcher in Computational Statistics, SAS Institute Inc.
- Invasion of the Marine Toads* In 1935, the poisonous American marine toad (Bufo marinus) was introduced, against the advice of ecologists, into some of the coastal sugar cane districts in Queensland, Australia, as a means of controlling sugar cane beetles. Due to lack of natural predators and the existence of an abundant food supply, the toad population grew and spread into regions far from the original districts. The survey data given in the accompanying table indicate how the toads expanded their territorial bounds within a 40-year period. Our goal in this problem is to find a population model of the form
but we want to construct the model that best fits the given data. Note that the data are not given as number of toads at 5-year intervals since this kind of information would be virtually impossible to obtain.
Marine toad (Bufo marinus)
© Ryan M. Bolton/ShutterStock, Inc.
Year Area Occupied 1939 32,800 1944 55,800 1949 73,600 1954 138,000 1959 202,000 1964 257,000 1969 301,000 1974 584,000 - For ease of computation, let’s assume that, on the average, there is one toad per square kilometer. We will also count the toads in units of thousands and measure time in years with
corresponding to 1939. One way to model the data in the table is to use the initial condition
and to search for a value of k so that the graph of
appears to fit the data points. Experiment, using a graphic calculator or a CAS, by varying the birth rate k until the graph of
appears to fit the data well over the time period
Alternatively, it is also possible to solve analytically for a value of k that will guarantee that the curve passes through exactly two of the data points. Find a value of k so that
Find a different value of k so that
- In practice, a mathematical model rarely passes through every experimentally obtained data point, and so statistical methods must be used to find values of the model’s parameters that best fit experimental data. Specifically, we will use linear regression to find a value of k that describes the given data points:
- Use the table to obtain a new data set of the form
where
is the given population at the times
. . . .
- Most graphic calculators have a built-in routine to find the line of least squares that fits this data. The routine gives an equation of the form
where m and b are, respectively, the slope and intercept corresponding to the line of best fit. (Most calculators also give the value of the correlation coefficient that indicates how well the data are approximated by a line; a correlation coefficient of 1 or
means perfect correlation. A correlation coefficient near 0 may mean that the data do not appear to be fit by an exponential model.)
- Solving
gives
or P(t) = ebemt. Matching the last form with
we see that
is an approximate initial population, and m is the value of the birth rate that best fits the given data.
- Use the table to obtain a new data set of the form
- So far you have produced four different values of the birth rate k. Do your four values of k agree closely with each other? Should they? Which of the four values do you think is the best model for the growth of the toad population during the years for which we have data? Use this birth rate to predict the toad’s range in the year 2039. Given that the area of Australia is 7,619,000 km2, how confident are you of this prediction? Explain your reasoning.
- For ease of computation, let’s assume that, on the average, there is one toad per square kilometer. We will also count the toads in units of thousands and measure time in years with
- Invasion of the Marine Toads—Continued In part (a) of Problem 61, we made the assumption that there was an average of one toad per square kilometer. But suppose we are wrong and there were actually an average of two toads per square kilometer. As before, solve analytically for a value of k that will guarantee that the curve passes through exactly two of the data points. In particular, if we now assume that
find a value of k so that
and a different value of k so that
How do these values of k compare with the values you found previously? What does this tell us? Discuss the importance of knowing the exact average density of the toad population.
*This problem is based on the article “Teaching Differential Equations with a Dynamical Systems Viewpoint” by Paul Blanchard, The College Mathematics Journal 25 (1994), 385–395.