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Elementary differential equations 7th edition - Boyce W.E

Boyce W.E Elementary differential equations 7th edition - Wiley publishing , 2001. - 1310 p.
ISBN 0-471-31999-6
Download (direct link): elementarydifferentialequat2001.pdf
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equation has the form
y + p(t) y = q (t)y",
and is called a Bernoulli equation after Jakob Bernoulli. Problems 27 through 31 deal with equations of this type.
27. (a) Solve Bernoulli’s equation when n = 0; when n = 1
(b) Show that if n = 0, 1, then the substitution v = y1-n reduces Bernoulli’s equation to a linear equation. This method of solution was found by Leibniz in 1696,
i i
Chapter 2. First Order Differential Equations
In each of Problems 28 through 31 the given equation is a Bernoulli equation. In each case solve it by using the substitution mentioned in Problem 27(b).
28. t2/ + 2ty — y3 = 0, t > 0 29. y = ry — ky2, r > 0 and k > 0. This equation is important in population dynamics and is discussed in detail in Section 2.5. 30. y = ˆy — ay3, ˆ > 0 and a > 0. This equation occurs in the study of the stability of fluid flow. 31. dy/dt = (r cos t + T)y — y3, where Y and T are constants. This equation also occurs in the study of the stability of fluid flow.
Discontinuous Coefficients. Linear differential equations sometimes occur in which one or both of the functions p and g have jump discontinuities. If t0 is such a point of discontinuity, then it is necessary to solve the equation separately for t < t0 and t > t0. Afterward, the two solutions are matched so that y is continuous at t0; this is accomplished by a proper choice of the arbitrary constants. The following two problems illustrate this situation. Note in each case that it is impossible also to make y continuous at t0.
32. Solve the initial value problem
y + 2y = g(t), 3 II o
A II O 0 < t < 1, t > 1.
33. Solve the initial value problem
y + p(t)y = 0, y(0) = 1,
p(t) = { 1 0 < t < 1, t > 1.
2.5 Autonomous Equations and Population Dynamics
An important class of first order equations are those in which the independent variable does not appear explicitly. Such equations are called autonomous and have the form
dy/dt = f (y). (1)
We will discuss these equations in the context of the growth or decline of the population of a given species, an important issue in fields ranging from medicine to ecology to global economics. A number of other applications are mentioned in some of the problems. Recall that in Sections 1.1 and 1.2 we have already considered the special case of Eq. (1) in which f (y) = ay + b.
Equation (1) is separable, so the discussion in Section 2.2 is applicable to it, but our main object now is to show how geometric methods can be used to obtain important qualitative information directly from the differential equation, without solving the equation. Of fundamental importance in this effort are the concepts of stability and instability of solutions of differential equations. These ideas were introduced in
2.5 Autonomous Equations and Population Dynamics
Chapter 1, are discussed further here, and will be examined in greater depth and in a more general setting in Chapter 9.
Exponential Growth. Let y = $(t) be the population of the given species at time t.
The simplest hypothesis concerning the variation of population is that the rate of change
of y is proportional4 to the current value of y, that is,
dy/dt = ry, (2)
where the constant of proportionality r is called the rate of growth or decline, depending on whether it is positive or negative. Here, we assume that r > 0, so the population is growing.
Solving Eq. (2) subject to the initial condition
y(0) = yo, (3)
we obtain
y = yoert. (4)
Thus the mathematical model consisting of the initial value problem (2), (3) with r > 0 predicts that the population will grow exponentially for all time, as shown in Figure 2.5.1. Under ideal conditions Eq. (4) has been observed to be reasonably accurate for many populations, at least for limited periods of time. However, it is clear that such ideal conditions cannot continue indefinitely; eventually, limitations on space, food supply, or other resources will reduce the growth rate and bring an end to uninhibited exponential growth.
FIGURE 2.5.1 Exponential growth: y versus t for dy/dt = ry.
Logistic Growth. To take account of the fact that the growth rate actually depends on the population, we replace the constant r in Eq. (2) by a function h(y) and thereby obtain the modified equation
dy/dt = h (y) y. (5)
4It was apparently the British economist Thomas Malthus (1766-1834) who first observed that many biological populations increase at a rate proportional to the population. His first paper on populations appeared in 1798.
Chapter 2. First Order Differential Equations
We now want to choose h(y) so that h(y) = r > 0 when y is small, h(y) decreases as y grows larger, and h(y) < 0 when y is sufficiently large. The simplest function having these properties is h(y) = r — ay, where a is also a positive constant. Using this function in Eq. (5), we obtain
dy/dt = (r — ay)y. (6)
Equation (6) is known as the Verhulst5 equation or the logistic equation. It is often convenient to write the logistic equation in the equivalent form
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