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Elementary Differential Equations and Boundary Value Problems - Boyce W.E.

Boyce W.E. Elementary Differential Equations and Boundary Value Problems - John Wiley & Sons, 2001. - 1310 p.
Download (direct link): elementarydifferentialequations2001.pdf
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> 11. y = sin y + 1, y(0) = 0
> 12. y = (3t2 + 4t + 2)/2(y 1), y(0) = 0
13. Let (x) = for 0 < x < 1 and show that
r a , \ (0, 0 < x < 1,
lim (x) = 1 ,
^ 11 I 1, x = 1 .
114
Chapter 2. First Order Differential Equations
This example shows that a sequence of continuous functions may converge to a limit function that is discontinuous.
_nx2
14. Consider the sequence (x) = 2 , 0 x 1.
(a) Show that lim (x) = 0 for 0 x 1; hence
^
f lim (x) dx = 0.
Jo ^
(b) Show that f 2nxenx dx = 1 ; hence
J0
lim [ (
^J 0
lim I (x) dx = 1.
Thus, in this example,
n b n b
lim (x) dx = I lim (x) dx,
^Ja Ja ^
even though lim (x) exists and is continuous.
^
In Problems 15 through 18 we indicate how to prove that the sequence { (t)}, defined by Eqs. (4) through (7), converges.
15. If f/y is continuous in the rectangle D, show that there is a positive constant such that
I f(t,1) f(t,2)I I1 2,
where (t,y1) and (t,y2) are any two points in Dhaving the same t coordinate. This inequality is known as a Lipschitz condition.
Hint: Hold t fixed and use the mean value theorem on f as a function of y only. Choose to be the maximum value of |d f/yl in D.
16. If 1 (t) and (t) are members of the sequence {(t)}, use the result of Problem 15 to show that
I f [t, (t)] f [t, _1 (t) -AOl
17. (a) Show that if It l h, then
() M It I,
where Mis chosen so that I f(t,y)I Mfor (t,y) in D.
(b) Use the results of Problem 16 and part (a) of Problem 17 to show that
M^t I2
2(t) -^-.
(c) Show, by mathematical induction, that
M.1\ I M^h1
rnn (t) -1(t)I ^ !.
! !
18. Note that
(t) = 1 (t) + [2(0 1 (t)] +-----+ [ (t) 1 (t)].
(a) Show that
I(Pn (t)I \<P1(t)I + I(P2(t) <P1(t)I + + I(Pn (t) <Pn_1(t)I.
2.9 First Order Difference Equations
115
(b) Use the results of Problem 17 to show that
M
(t)I
(Kh)2 (Kh)n
Kh + -- + + ( )
2! !
(c) Show that the sum in part (b) converges as n ^ and, hence, the sum in part (a) also converges as n ^. Conclude therefore that the sequence {(t)} converges since it is the sequence of partial sums of a convergent infinite series.
19. In this problem we deal with the question of uniqueness of the solution of the integral equation (3),
(^) = f f[s^(s)] ds.
0
(a) Suppose that and ty are two solutions ofEq. (3). Show that, for t > 0,
ty(t) ty(t) = { f[s^(s)] f[s, ty(s)]} ds.
0
(b) Show that
rn(t) ty(t)I / I f[s, ()] f[s, ty(s)]I ds.
0
(c) Use the result of Problem 15 to show that
t{ f[s,
0
f I f [s,
0
^(t) ty(t)I ( ^(s) ty(s)I ds,
0
where is an upper bound for Id f/ yI in D. This is the same as Eq. (30), and the rest of the proof may be constructed as indicated in the text.
2.9 First Order Difference Equations
While a continuous model leading to a differential equation is reasonable and attractive for many problems, there are some cases in which a discrete model may be more natural. For instance, the continuous model of compound interest used in Section 2.3 is only an approximation to the actual discrete process. Similarly, sometimes population growth may be described more accurately by a discrete than by a continuous model. This is true, for example, of species whose generations do not overlap and that propagate at regular intervals, such as at particular times of the calendar year. Then the population yn+1 of the species in the year n + 1 is some function of n and the population yn in the preceding year, that is,
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