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2/3/2016 COMPLETE SOLUTIONS MANUAL FOR ~ http://webcache.googleusercontent.com/search?q=cache:http://faculty.ksu.edu.sa/fawaz/Files204/Books/Differential%2520Equations%2520%2520Zill%2520Cullens%25205th%2520Solution.pdf 1/41 Berikut ini adalah versi HTML dari file http://faculty.ksu.edu.sa/fawaz/Files204/Books/Differential%20Equations%20%20Zill%20Cullens%205th%20Solution.pdf. Google membuat versi HTML dari dokumen tersebut secara otomatis pada saat menelusuri web. Page 1 COMPLETE SOLUTIONS MANUAL FOR ‐~ ZILL’S A FIRST COURSE IN DIFFERENTIAL E Q U AT I ON5 WITH MODELING APPLICATIONS 7TI—I EDITION AND ZILL& CULLEN’S DIFFERENTIAL EQUATIONS WITH BO UN DARYVALUE PROBLEMS

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Berikut ini adalah versi HTML dari file http://faculty.ksu.edu.sa/fawaz/Files204/Books/Differential%20Equations%20­%20Zill%20Cullens%205th%20Solution.pdf.G o o g l e membuat versi HTML dari dokumen tersebut secara otomatis pada saat menelusuri web.

Page 1

COMPLETE SOLUTIONSMANUAL FOR ‐~

ZILL’S

A FIRST COURSE INDIFFERENTIALE Q U AT I O N 5WITH MODELING APPLICATIONS

7TI—I EDITION

AND

ZILL& CULLEN’S

DIFFERENTIALEQUATIONSWITH BO UN DARY­VALUE PROBLEMS

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STH EDITION

BROOKS/ COLE

____*____THOMSON LEARNING

Australia ° Canada ­ Mexico ' Singapore ­ Spain ­ United Kingdom ­ United States

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Page 2Page 3

Table of Contents

Introduction to Differential Equations

First­Order Differential Equations

Modeling with First~Order Differential Equations

Higher—Order Differential Equations

Modeling with Higher­Order Differential Equations

22

71

104

194

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10

11

12

13

14

15

Appendix I

Appendix II

Series Solutions of Linear Equations

The Laplace Transform

Systems of Linear First—Order Differential Equations

Numerical Solutions of Ordinary Differential Equations

Plane Autonomous Systems and Stability

Orthogonal Functions and Fourier Series

Partial Differential Equations and Boundary­Value

Problems in Rectangular Coordinates

Boundary—Value Problems in Other Coordinate Systems

Integral Transform Method

Numerical Solutions­of Partial Differential Equations

Gamma function

Introduction to Matrices

240

308

370

430

458

491

538

616

654

695

717

718

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Page 4Page 5

1 Introduction to Differential Equations

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10.

11.

12.

13.

14.

Exercises 1.1

. Second—order; linear.

. Third—order; nonlinear because of (dy/dz)4.

. The differential equation is first­order. Writing it in the form 1:(dy/d1:) + y2 = 1, we see that it isnonlinear in y because of y2. However, writing it in the form (y2 — 1)(d1:/dy) + 1: = 0, we see thatit is linear in 1:.

The differential equation is first—order. Writing it in the form u(dv/du) + (1 + u)v = ue“ we see

that it is linear in 1). However, writing it in the form (1) + uv — ue“)(du/dv) + u = 0, we see that itis nonlinear in u.

. Fourth—order; linear

Second—order; nonlinear because of cos(r + u)

. Second—order; nonlinear because of 1 + (dy / d1)2

. Second—order; nonlinear because of 1/R2

. Third—order; linear

Second—order; nonlinear because of 1:2

Born y = e‘z/2 we obtain y’ = —%e‘I/2. Then 2y’ + y : —e_I/2 + e‘I/2 = 0:

From y = 2 ~ gee—2m we obtain dy/dt = 246—20t, so that

dy —20t (6 6 —20t>— 2 = 2 20 — — — = 24.dt + Oy 46 + 5 56

631From y = 631 cos 21: we obtain y’ z 36335 cos 21: —— 263m sin 21: and y" = 5 cos 21: — 1263“ sin 21:, so

that y” — Gy'+13y = 0.

From y = — cos1cln(sec1: + tan1:) we obtain y' = —1 + sinrcln(sec1: + tan 1:) and

y” z tan1: + cos1:ln(sec1: + tan1:). Then y” + y = tan1:.

1

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Page 6

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15.

16.

_ solutions are y1 = 2:2 + vr4 +1 and yg = x2 — V334 + 1. Both

Exercises 1. 1

Writing ln(2X ­— 1) — ln(X — 1) = t and differentiating implicitly ' x

we obtain

dXE = —(2X — 1)(X ~ 1) = (X — 1)(1­ 2X).

Exponentiating both sides of the implicit solution we obtain

2X ­ 1 f— 1=et => 2X­1=Xe‘—e‘ => (ct—1)=(et—2)X => X: e .X — 1 et — 2

Solving et — 2 = 0 we get it = ln 2 Thus, the solution is defined on (~oo,ln 2) or on (ln 2,00).

The graph of the solution defined on (—00, In 2) is dashed, and the graph of the solution defined on

(ln 2, 00) is solid.

lmplicitly differentiating the solution we obtain

=> 2xy dz + (x2 — y)dy : 0.

Using the quadratic formula to solve y2 — 2x2y— 1 = O for y, we get

y = (2x2 :l: V422“ + 4)/2 : 2:2 :l: VJ:4 + 1. Thus, two explicit

solutions are defined on (—oo, 00). The graph of y1(x) is solid and

the graph of 342 is dashed.

17. Differentiating P = cle‘/ (1 + clet) we obtain

dP _ (1+ clet) alet — clet ­ clet

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dt (1+ clet)2

clet [<1 + ciet) — clet)21+C1€t 1+618t

,2 I 2 218. Differentiating y : f” A et dt + ole—I we obtain

2 _ ­2 I 2 2 _z I 2 _2y’=e_fC eI —2$€"I/ et aft—201m—I :1—2xe 1/0 et cit—201226 2.0

2

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Page 7

Exercises 1. 1

Substituting into the differential equation, we have

2 I 2 2 2 I 2 2y' + 213y = 1 — 2136—1 / et dt — 2clxe_I + 2x6” /0 et (it ­+— 2clxe_I = L

02dz

19. From y : cleQI—l—cwegI we obtain d—J : (261+62)GQI +262$€21 and dz:1:

so that

dQ'g di

@ — 4d; + 4y = (401+ 4CQ — 8c1 — 402 + 401)?” + (4cQ — 802 + 4mm?! = of20. From y = 0133—1 + CQI + 631? lnx + 41:2 we obtain

d_y = —c1a:_2 + C2 ­+­ 03 + 03 lnr + 8x,dz:

C12?! 3 —1——=20 a:— +cx +87(11:2 1 3

and

day 4 —2

—— z —60 x‘ — c 1: ,(11:3 1 3

so thatd3 d2 d3 y 2 y y

1: — 21: — — 1: — +(11:3 + (11:2 dz: y

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= (——661 + 401+ 01+ 01)$­1+(—63 + 203 —— C2 — 63 + CQ)$

“l' ("03 + C3)xlnx —|— (16 _ 8 + 4)$2

= 12132.21. (a) From (151 = 1:2 We obtain (25,1 2 213, so

“5/1 — M1 = x(2x) — 21:2 z 0.2 we obtain (15'2 = —21:, soFrom (152 = —1:

mg — 2m = 1:(—2a:) — 2(~1:2) = 0.

Thus, (151 and (152 are solutions of the differential equation on (—00, 00).

f,—z:~ I < 0 —22:. 1: < 0b = l 7 ‘ ’ = / tl t '—— 2 z 0.( ) From y $27 $20 vxeobtain y 2x7 $20 so ia my y

22. The function y(1:) is not continuous at 1: = 0 since lilgl y(x) = 5 and lir51+ y(x) = —5. Thus, y'(x)I—‘ T I—‘

does not exist at 1: = 04

23. (a) The domain of the function found by solving 1: + 3 Z O, is [—3, oo).

3

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Page 8

24.

Exercises 1. 1

Since y(x) is not differentiable at r = —3, y is a solution of the differential equation on (—3, 00).

(a) An interval on which tan St is continuous is —7r/2 < 515 < 7r/2, so 5 tan 515 will be a solution on

(—7r/10,7r/10).

(b) For (1 —sin t)‘1/2 to be continuous we must have 1—sint > 0 or sint < 1. Thus (1 — sin t)_1/2

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25.

26.

27.

will be a solution on (7r/2, 57r/2).(a) From y = em we obtain y’ = me”. Then y’ + 21; = 0 implies

memt + 28” = (m + 2)emt = 01

2‘ is a solution.Since emf > O for all t, m z —2. Thus y = e‘

(b) From y = am we obtain y’ = memt and y” = erm“ Then y” — 5y’ + 6y = 0 implies

ermt — 5memt + Gemt = (m — 2)(m — 3)emt = 0,

Since emt > O for all t, m z 2 and m = 3, Thus 7; = em and y = est are solutions.

(a) From y = t” we obtain y’ = mini—1 and y” z m(m — 1)tm"2, Then ty” + 2y’ 2 0 implies

2 m(m +1)tm‘l : 0.Since W” > 0 fort > 0, m = 0 and m = —1, Thus y = 1 and y =t_1 are solutions.

(b) From y = tm we obtain y’ = mifm'l and y” = m(m — Dink? Then 152g” — 7ty’ + 151; = 0

implies

Since t” > 0 for t > 0, m = 3 and m 2 5 Thus y = t3 and y = t5 are solutions.

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Page 9

Exercises 7. 7

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28.

29.

30.

31.

32.

33.

34.

dy: 25” + 30e6t = —.dt

From ac = cos Qt + sin Qt + get and y : — cos Qt — sin Qz‘ — éet we obtaindac 1 d 1E = —Qsith+ Qcoth + get and d—ltj = Qsith — Qcoth — get

and O 0diff: . 1 t W ­ 1 t

W 7— —4coth — 4151th + 56 and 52. = 4coth +4sith — 56.

Then

14y + ct = 4(— cos Qt — sin Qt — get) + et

1 de= —4c 52t 4151th + —et : —O 5 cit?

and 1

4st: — ct = 4(cos Qt + sin Qt + get) — et

1 d2=4coth+4sith— get: Elf—g.

(y’)2 + 1 = 0 has no real solution.

The only solution of (y’)2 + y2 = O is y = 0, since if y 96 0, y2 > O and (y’)2 + y2 2 y2 >'O.

The first derivative of f(t) = et is ct. The first derivative of f(t) = 6“ 'is Ice“. The differential

equations are y’ = y and y’ = Icy, respectively.

Any function of the form 3; = cet or y = ce‘tis its own second derivative. The corresponding

differential equation is y” ~ y = 0. Functions of the form y = csint or y = ccost have second

derivatives that are the negatives of themselves. The differential equation is y” + y = 0.

Since the nth derivative of (Mac) must exist if (Mac) is a solution of the nth order differential equation,

all lower­order derivatives of d>(:c) must exist and be continuous. [Recall that a differentiable functionis continuous]

Solving the system

Ciyi(0) + 62y2(0) = 2

eiyi(0) + czyé(0) = 0for C1 and c2 we get

29m)

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Page 10

35.

36.

37.

38.

39.

40.

Exercises 1. 1

Thus, a particular solution is

y:

where we assume that y1(0)y§_(0) — y’1(0)y2(0) 74 O.

For the first—order differential equation integrate f (x) For the second—order differential equation

integrate twice. In the latter case we get y = f(ff(t)dt)dt + c1t+ Cg.

Solving for y’ using the quadratic formula we obtain the two differential equations

1 f——' 1 /

so the differential equation cannot be put in the form dy/dt = f (t, y).

The differential equation yy’ — ty = 0 has normal form dy/dt = t. These are not equivalent because

y = O is a solution of the first differential equation but not a solution of the second.

Differentiating we get y’ = cl + 302t2 and y” = 60275. Then 02 = y”/6t and C1 = y’ — ty”/2, so

and the differential equation is tgy” — 3ty’ + Sy = 0.

When g(t) = 0, y = O is a solution of a linear equation

(a) Solving (10 — 5y)/3x = 0 we see that y = 2 is a constant solution.

(b) Solving y2 + 21; — 3 = (y + 3)(y * 1) = 0 we see that y = —3 and y = 1 are constant solutions

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41.

42.

(c) Since 1/(y — 1) z 0 has no solutions7 the differential equation has no constant solutions.

(d) Setting y’ = 0 we have y” = O and 6y = 10. Thus y = 5/3 is a constant solution.

One solution is given by the upper portion of the graph with domain approximately (0, 2.6). The

other solution is given by the lower portion of the graph, also with domain approximately (0, 2.6).

One solution, with domain approximately (—oo, 1.6) is the portion of the graph in the second

quadrant together with the lower part of the graph in the first quadrant. A second solution, with

domain approximately (0.1.6) is the upper part of the graph in the first quadrant. The third

solution, with domain (0, 00), is the part of the graph in the fourth quadrant.

6

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Page 11

43.

44.

Exercises 1. 1

Diflerentiating (I3 + y3)/Iy = 35 wt,— obtain ,

Iy(3I2 + 3y2y') — ($3 + y3)(Iy’ ‘l’ y) _ 0

12:72 —3x33+ 3I'y3y’ —/Ijjf/l fl _IB_y_f Iy3y' _ y4 .= O

’fjxy3 _ I4 _ Iy3)y’ ___ —3I3y + I3y +y4

y, = y“ — 210311 = y(y3 — 2x3)2Iy3 — I4 I(2y3 — I3)'

A tangent line will be vertical where y’ is undefined. or in this case, where I(2y3 — I3) = O. This

gives I = 0 and 2y3 = I3. Substituting y3 = I3/2 into I3 + y3 = 3Iy we get

3 3 3 25 2 27/555I3=22/3I2

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45.

46.

47.

I2(I — 22/3) = 0.Thus. there are vertical tangent lines at I = 0 and I = 22/3. or at (0.0) and (22/3,21/3). Since

22/3 z 1.59, the estimates of the domains in Problem 42 were close.

Since ¢’(I) > O for all I in I, ¢(I) is an increasing function on I. Hence, it can have no relative

extrema on I.

(a) When y = 5, y’ = 0, so y z 5 is a solution of y’ z 5 —— y.

(b) When y > 5, y’ < 0, and the solution must be decreasing. When y < 5, y’ > 0, and the

solution must be increasing. Thus, none of the curves in color can be solutions.

(C)

(a) y: 0 and y = a/b.

(b) Since dy/dI z y(a — by) > O for 0 < y < a/b, y = ¢(I) is increasing on this interval. Since

dy/dI < 0 for y < 0 or y > a/b. y = ¢(I) is decreasing on these intervals.

7

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Page 12

Exercises 1. 1

(c) Using implicit differentiation we compute

dzy _ / z _ l 9

(715 —y(—by)+y(a—by) —y(a—~by)~Solving (fly/(ix? = 0 we obtain y = a/2b. Since de/da:2 > O for 0 < y < a/2b and dgy/dx2 < O

for a/2b < y < a/b, the graph of y = ¢($) has a point of inflection at y = a/Zb.

(d)

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Kan27f

48. The family of parabolas is plotted using 01 = ii, 14, iIO. The

ellipses are plotted using 02 = 1, 2, 3. It appears from the figurethat the parabolas and ellipses intersect at right angles. To verify

this we note that the first differential equation can be written in theform dy/dx = y/Qx and the second in the form dy/dx = —2x/y.Thus, at a point of intersection, the slopes of tangent lines are

negative reciprocals of each other, and the two tangent lines are

perpendicular.

49. In Mathematica use

Clear[y]

y[x_]:= x Exp[5x] Cos[2x]

lely""[x] — 20 y"'[x] + 158 y"[x] — 580 y'[x] + 841 y[x] // Simplify

50. In Mathematica use

Clear[y]

y[x_]:= 20 Cos[5 Log[x]]/x ~ 3 Sin[5 Log[x]]/xlel

x“3 y"'[x] + 2:62 y"[Xl + 20 x y'lx] — 78 ylx] // Simplify

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Page 13

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Exercises 1.2

Exercises 1.2

, 1 1 , , 1. SolVing —§ = 1_+71 we get 01 = ——4. The solution is y = ~1—_—4é_—t.

, 1 1 _1 , , 2. Solv1ng 2 —— 1 + cle we get 01 ­— ——2­e . The solution is y — m .

. Using it’ = —01 sint + 02 cost we obtain 01 = —1 and C2 = 8. The solution is (I? z — cost + 8sint.

. Using cc’ : —c1sint+ 02 cost we obtain 02 = O and —c1 = 1. The solution is I = — cos t.

. Using I’ 2 —c1 sint + 02 cost we obtain

+ 10 1___c _ fl _2 1 2 2 21 \/§

__c __c s o2 1 + 2 23 1 1 .

Solving we find 61 = % and C2 = Z . The solution is a: = ~4— cost + é—lsm t.

. Using sc’ = —c1sint + 02 cost we obtain

Solving we find 01 = —1 and C2 = 3. The solution is I = — cost + 3 sin t.

. Fiom the initial conditions we obtain the system

C] + 62 = 1

C1 — C2 = 2.

Solving we get 01 = g and C2 = —% . A solution of the initial­value problem is y = %e1 — ée‘z.

. Fiom the initial conditions we obtain the system I

616 + C2e_1 = 0

_1 _cle — 626 — e.

Solving we get cl = 5­ and C2 = —%€2. A solution of the initial—value problem is y = éez — 592—1.

. From the initial conditions we obtain016—1 + me = 5

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Solving we get c] = 0 and C2 = 56—1. A solution of the initial­value problem is y = 56_I_1.

9

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10.

11.

12.

13.

14.

15.

16.

17.

Exercises 1.2

From the initial conditions we obtain

cl + 62 = O

61 — 62 = O.

Solving we get 01 = 62 = O. A solution of the initial—value problem is y = O

Two solutions are y = O and y = x3.

Two solutions are y = O and y = $2. (Also, any constant multiple of x2 is a solution.)

8 2f = 531—1“. Thus the differential equation Will have a unique solutionFor f(m,y) = y2/3 we have —

(91;in any rectangular region of the plane where y 75 0.

_ 8 1 a: . i . . .For j‘(a:7 y) = . My we have a—f = Efi. Thus the differential equation Will have a unique solution1!

in any region where a: > 0 and y > 0 or where x < 0 and y < 0.

y af 1 . . . . , . .For f(z, y) = 5 we have a— = E . Thus the differential equation Will have a unique solution in any3]

region where x 96 O.

For f(z, y) = x + y we have gji = 1. Thus the differential equation will have a unique solution iny

the entire plane.

3:2 (9 f 23:21; . i . . .For f (any) = 4————2 we have a— = m Thus the differential equation Will have a unique— 11 y — y “

solution in any region where y < —2, ­—2 < y < 2, or y > 2.

2 2 2 . (9 —3 . . . . .a: 3 we have —f = $7 . Thus the differential equation Will have a unique

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18.

19.

20.

21.

22.

1 + y 32; (1 + y3)For flaw) =

solution in any region Where y 75 —1.2 r) 2

For f($,y) = —y——— we have % z i.372 + 3/2 fly (a:2 + y2)2

solution in any region not containing (0, 0).

Thus the differential equation will have a unique

0 —2For f(a:,y) = m we have i : ———$§. Thus the differential equation will have a unique

y — 96 By (y — a?)solution in any region Where y < x or where y > 33.

The differential equation has a unique solution at (1, 4).

The differential equation is not guaranteed to have a unique solution at (5, 3).

. The differential equation is not guaranteed to have a unique solution at (2, —3).

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Exercises 1.2

24. The differential equation is not guaranteed to have a unique solution at (—1, 1).

25. (a) A one­parameter family of solutions is y : cx. Since y' = (3, Iy' : are = y and y(0) = (3 ~ 0 = O.

26.

(b)Writing the equation in the form y' = y/x we see that R cannot contain any point on the y­axis.Thus) any rectangular region disjoint from the y­axis and containing (20, yo) will determine an

interval around £170 and a unique solution through (2:0, yo). Since 20 = O in part (a) we are not

guaranteed a unique solution through (0, O).

The piecewise­defined function which satisfies y(0) = O is not a solution since it is not differ

entiable at a: = O.

, d .Since 21; tan(9: + c) = sec2(x + c) = 1 + tan2(x + c), we see that y z tan(I + c) satisfies the

differential equation.

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(b)

(C)

Solving y(0) = tanc = 0 we obtain (3 = O and y = tanz. Since tanx is discontinuous atI = ifl/Q, the solution is not defined on (——2, 2) because it contains ifl/Q.

The largest interval on which the solution can exist is (~7r/2, 71/2).

. d 1 1 1 , . . .27. (a) Since ——(­—————> z = y2, we see that y = —— is a solution of the differentialdt t+c (t+c)2 t+c

equation,

Solving y(0) = —1/c = 1 we obtain c = —­1 and y = 1/(1—t). Solving y(0) = ——1/c = ——1

we obtain c = 1 and y = —1/(1 +16). Being sure to include it = 0, we see that the interval

of existence of y = 1/(1 — t) is (——00, 1), while the interval of existence of y z —1/(1 + t) is(—1,oo).

Solving y(0) = —1/c == yo we obtain (3 = —1/yo and

y= , 1/0750

Since we must have —­1/yo +25 3A 0, the largest interval of existence (which must contain 0) is

either (—oo,1/yo) when yo > O or (1/y0,oo) when yo < 0

(d) By inspection we see that y = O is a solution on (—007 00).

28. (a) Differentiating 3x2 — y2 = c we get 61 — 2yy' = O or yy' = 3x.

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Exercises 1.2

(b) Solving 3x2 — y2 z 3 for y we get

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30.

31.

32.

33.

34.

Only y : ¢3(z) satisfies y(—2) = 3.

so the explicit solution is

(d) Setting 0 = 0 we have y = fix and y = —\/§x, both defined on (—oo, 00).

When at = 0 and y = % , y’ = —1, so the only plausible solution curve is the one with negative SlOpe

at (O, % ), or the black curve.

The value of y’ = dy/dz = f (any) is determined by f (cc, y), so it cannot be arbitrarily specified at

z=zo.

If the solution is tangent to the x­axis at (I0, 0), then y’ z 0 when x = x0 and y = 0. Substituting

these values into y’ + 231 = 3x — 6 we get 0 + O 2 3x0 — 6 or 1:0 = 2.

We look for the curve containing the point corresponding to the initial conditions.

(a) D (b) A (C) C (d) C (e) B (f) AThe theorem guarantees a unique (meaning single) solution through any point. Thus, there cannot

be two distinct solutions through any point.

The functions are the same on the interval (0, 4), which is all that is required by Theorem 1.1.

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Exercises 1 .3

35. From y' = 0, for y = x — 1, we see that solutions intersecting the line

y = x —1 have horizontal tangent lines at the point of intersection. From

y’ > 0, for y > z — 1, we see that solutions above the line y = I — 1

are increasing. From y’ < 0, for y < I — 1, we see that solutions aredecreasing below the line y = x — 1. From y” = 0, for y = m, we see

that solutions have possible inflection points on the line y z z. Actually,

y z z is easily seen to be a solution of the differential equation, so the

solutions do not have inflection points. From y” > 0 for y > m we see

that solutions above the line y = x are concave up. From y” < 0 for y < z we see that solutions

below the line y = x are concave down.

Exercises 1.3

gsz+n idltiZkP—T

2. Let b be the rate of births and d the rate of deaths. Then b = MP and d = kQP. Since dP/dt = b—d,

the differential equation is dP/dt = k1P — kQP.

3. Let b be the rate of births and d the rate of deaths. Then b = MP and d = k2P2. Since dP/dt = b—d,

the differential equation is dP/dt = k1P — kQPQ.

4. Let P(t) be the number of owls present at time t. Then dP/dt = k(P — 200 + lot)

5. From the graph we estimate To = 180° and Tm : 75°. We observe that when T : 85, dT/dt z —1.

From the differential equation we then have

dT/dt —1

T — Tm : 85 ­ 75 z6. By inspecting the graph we take Tm to be Tm(t) = 80 — 30 cos 7rt/12. Then the temperature of the

k = —0.1.

body at time t is determined by the differential equation

7. The number of students with the flu is x and the number not infected is 1000 — as, so dx/dt =

kx(1000 — as).

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8. By analogy with differential equation modeling the spread of a disease we assume that the rate at

which the technological innovation is adopted is proportional to the number of people who have

adopted the innovation and also to the number of people, y(t), who have not yet adopted it. If one

person who has adopted the innovation is introduced into the population then x + y = 77. + 1 and

dillE = kz(n+1—x), z(0) = 1.

13,

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Page 18

10.

11.

Exercises 1.3

. The rate at which salt is leaving the tank is

. A A .(3 gal/min)' (300 lb/gal> — 1—0—0 lb/min.

Thus dA/dt = A/100.

The rate at which salt is entering the tank is

R1 = (3 gal/min) ~ (2 lb/gal) z 6 lb/min.

Since the solution is pumped out at a slower rate, it is accumulating at the rate of (3 — 2)gal/min =

1 gal/ min. After it minutes there are 300 + t gallons of brine in the tank. The rate at which salt is

leaving isA 2A

= 2 _ ' . ———­ = '.R2 ( gal/min) (BOO­H lb/gal> 300+tlb/m1nThe differential equation is

d_fl__ _ 2A

dt _ 300+t'The volume of water in the tank at time t is V = Awh, The differential equation is then

db 1 dV 1 cAo­=———:­——A h =———‘2 .

2 2

Using A0 = 7T (5) z 316 , Aw = 102 = 100, and g = 32, this becomes

dh c7r/36 c7r

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12.

"13.

14.

—— = ————— \/ 4 = —— .dt 100 6 450 hThe volume of water in the tank at time t is V = §7rr2h = §Awh. Using the formula from

Problem 11 for the volume of water leaving the tank we see that the differential equation is

dh 3 dV 3 ScAhEt— — A—wE — El—CAh 29h) — “ Aw V29h'

Using Ah = 7r(2/12)2 = 7r/36, g = 32, and c = 0.6, this becomes

To find Aw we let 7" be the radius of the top of the water. Then r/h = 8/20, so 7" : 2h/5 and

Aw z 7T<2h/5)2 = 47rh2/25. Thus

dt — 47rh2/25h ’ 25h ‘

, ,_ dq dgq dq . dz' ASince 1 — Elf and Ldt—i + RE — E(t) we obtain LE + R1 _ E(t)

15g : E(t)

atBy Kirchoff’s second law we obtain RE? +

14

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15.

16.

Exercises 7 ,3

dFrom Newton’s second law we obtain md—z = —kv2 + mg.

We have from Archimedes’ principle

upward force of water on barrel = weight of water displaced

= (62.4) x (volume of water displaced)

= (62.4)7109/2)? =15,6m2y.d2y 2 de 15677525;d??— : ~15.67rs y or 355+”

g = 32 and w is the weight of the barrel in pounds.

It then follows from Newton’s second law that E y = 0, where

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17.

18.

19.

20.

The net force acting on the mass issz

F=ma=mE§ = ­—k(s+z)+mg= —kz+mg——k,s.

Since the condition of equilibrium is mg = ks, the differential equation is

sz—— = —ks.m dt2

From Problem 177 without a damping force, the differential equation is msz/dt2 = ~kx. With a

clamping force proportional to velocity the differential equation becomes

me 'dt2Let z(t) denote the height of the top of the chain at time t with the positive direction upward. The

weight of the portion of chain off the ground is W = (35 ft) ~ (1 lb/ft) = z. The mass of the chain ism = W/g = z/32. The net force is F = 5 — W = 5 — at. By Newton’s second law,

dv dz%<§§U) =5—z or IE+UE=160—32z'

Thus, the differential equation is

sz dz 2

as? (E) + 32m = 160.d

The force is the weight of the chain, 2L, so by Newton’s second law, aflmv] = 2L. Since the mass

of the portion of chain off the ground is m = 2(L — z)/g, we have

Thus, the differential equation is

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21.

Exercises 1.3

From g = ki/R2 we find 16 : gRg. Using a = altar/cit2 and the fact that the positive direction is

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22.

23.

24.

25.

26.

27.

28.

29.

upward we getd? 16 9122 d2r gR2

The gravitational force on m is F : —kMTm/r2 Since MT = 47T5T3/3 and N! = 47T5RB/3 we have

MT = TBA/f/RS andMrm rst/ R3 mM

F=—k rQ =—lc T2 =—k R37:Now from F = ma : dQT/clt2 we have

d2r k mM d2r chm— = — ——~ r or — = ———r(it? R3 (it? R3

The differential equation is (ii—1? = 1c(M — A).

The differential equation is % = 1c1(M — A) — 162A.

The differential equation is 93’(t) = r — ka:(t) where 19 > 0.

By the Pythagorean Theorem the slope of the tangent line is y’ : 2—y 2 .

s —yWe see from the figure that 29 + a 2 7T. Thus H

y 2 tan 9——=t =t —29 =—t 29=——­————.—9: and an(7r ) an 1 _ tan? 9

Since the slope of the tangent line is y’ = tan 9 we have y/a: = 9y’[1—(y’)2]

or y — y(y’)2 = 293y’, which is the quadratic equation y(y’)2 + ny’ *y = 0in y’. Using the quadratic formula we get

y' = —2x i V410? + 4y2 2 —x:l: i/xQ +y2~2y ySince dy/dx > 0, the differential equation is

dy —1: +\/1:2 + y2 dy ,_ , z 2 .— ——————— — ML]? +7; +1=0.dac— y gaine

The differential equation is dP/dt : lcP, so from Problem 31 in Exercises 141, P = e“, and a

one­parameter family of solutions is P = cekt.

The differential equation in (3) is dT/dt = MT — Tm). When the body is cooling, T > Tm, so

T — Tm > 0. Since T is decreasing, dT/dt < O and lc < 0. When the body is warming, T < Tm, so

T — Tm < 0. Since T is increasing, dT/dt > 0 and k < 0.

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