Differential Equations 2nd Edition Polking Solutions Manual
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8. i ·: I - l
x. ,·_;..;
·1··r--,·,
18 Chapter 2 First-Order Equations
27. 30.
-15
y ' = 3 y + sin(t) y
0
-10 -5
5 I · ·· ·-1- ·I -· ·· ·· v- ,--,-�-
4
l 1: _1_:_1_) ,_:_,_
I � . '' - . .% /
3 t ,··y,·....:.·.;.-:·;,·1·
2 i 1: . : . .'. ,.: <, .;__ .-:. / .: I i -
1 �
I
v
·
>
,
- -,
,
_:
.
:
_
.,,,;·
�
/
/
/
I
-
·/ I
.
-10
-20
I- 0
-1
-2
-3
-4
-5
. , , .., � 0. -/ ,/ - -I·· f ·· f I
� <: <, ·- /. I ·1 r I . I /
, - :;,,; / /, I '., /- I : i I
··, <, ·.......,,,, ··/ ·1 r> I '/ I I -. 1 - 1 - .
'. -, : -..... _.:..,. .--; .r. :.1 ( 1.: ./ ;t .( J .' I - I - .
, ,. - ,,,, /. I · I I I · I I I- I · I I
<; _;_.-_;, -"/ i -,- .-( -, ·,·.-,-'I ·1 1 -. I - i
_;... .,..:.,,, .j. .,; .,.:.,- -i t, l : ;, t. .,.:,- i - .
-30
-5 -4 -3 -2 -1 0
s
2 3 4 5
28. 31.
y
-2 2
29. 32.
-4
9. 0
I:,
/
50 f � �- � -�- � ·�: � -�- �
.
' '
,
2.1 Differential Equations and Solutions 19
33. tion curve.
200
150
·I·# ·I I ·I·# ·I' I ·II·/· I·/·"/··/·/· l·I· I·
I I I I I I 1· I I I I I I 1 I I I I I0
i I I I I I (II I I I I 1 I I I I Ii
f I I I I I I. I I I I I I I I I I I
I I I I I I I. I I I I I I I I I I I I I
Tl'/ I Tl 1:1 ·1 I'/" I ·1·.1,·,- I'/' t :t: 1·
I I I I I I t, I I I I I I . I I I I I I
I I I I I I f· I I I I I I 1 I I I I I I
I I I I I I I· I I I I I I I I I I I I I
I I I I I I /· I I I I I t. I I I I I I I
a. 100 ·,· i
0
i ·,· i ·,: i ·,· I I i ·,; ·,· i 'ii·, i
I I I I I I r I I I I I I '/ I I I I I I
I I I I I I r I I I I A I '/ I I I I I I
) I I I I I I I I I I 'I I·, I I I I I )
·i· � f� -�- � -�- � -�- �1,,,,,�,, ,,,,,,,,,1
0 5 10 15
34.
Using the solution curve, we estimate that P(IO) �
124. Thus, there are approximately 124 mg of bac•
teria present after 10 days.
36. We must solve the initial value problem
dA
-
dt = -025A
'
A(O) = 400.
·-6 -4 4 6
Using our numerical solver, we input the equation
and initial condition, arriving at the following solu•
tion curve.
500 �,�,�'�'�'�'�'�'�'�'·
� ' ' ' ' ' ,··· ' ' ' ' ' ' ··, ' ' ' ' '�'
400 '
'.,', '�',�,' ',�'', ��'','�','��-
300
.... '
,,,,,,,,,,,�,,,,,,
200 ..;.,, .....
:...·..:..:......:..· · = : · .
:
, .- ...,_;
............... . .
·..... ..........
100 ��-�-���-�-�-�-�- �?-
35. We must solve the initial value problem 0 ---------------------
0 2 4 6
dP
- = 0.44P,
dt
P(O) = 1.5.
Use the solution curve to estimate A(4) � 150.
Thus, there are approximately 150 mg of material
remaining after 4 days.
Using our numerical solver, we input the equation
37. We must solve the initial value problem
de
and initial condition, arriving at the following solu- dt = -0.055c, c(O) = 0.10.
10. where T is the temperature of the rod at t minutes. 0 --------
Note that since the initial temperature is larger than
the surrounding air (20° Celsius), the minus sign in•
0 10
sures that the model implies that the rod is cooling.
' ' ·, '
' ' '
,,,,,�,,�,,,,,,,�,,,,,,,,,,
� �
� �
a.
20 Chapter 2 First-Order Equations
Using our numerical solver, we input the equation
and initial condition, arriving at the following solu•
tion curve.
39.
Use the solution curve to estimate that it takes a little
less than 15 minutes to cool to 100° Celsius.
The rate at which the population is changing with
respect to time is proportional to the product of the
0.1 . ·· v- .,: · •· .,.·, ·· ····'I.. population and the number of critters less than the
'
,.
11.
' '
' ,
·
·
· ' ,;.
"carrying capacity" (100). Thus,
,;:
0.08 v�. 'v�'v' 'v,: 'v' 'v' 'v :,v' �' '� ''i.,·
,. , dP
���'
��,,,,,,�,,,,,,
•
0.06
o
,,,,,
,,,,�,,'���,� �,�,��,,��,,��,,� dt = kP(lOO- P).
0.04
�'
�
''
-�
'
-�
'
-�'
--�
''
,��
,,�
,,
�
,,
��
,
�,�
,
-�
,
-�
, ,
��-
With k = 0.00125 and an initial population of 20
0.02
��-�--�--��.-�--�--�-�.�---�-·-�-�.-. ritters, we must solve the initial value problem
' ���
c
0 --------------------·
() 10 20 30
dP
- = 0.00125P(100- P),
dt
P(O) = 20.
Use the solution curve to estimate that it takes a little
more than 29 days for the concentration level to dip
below 0.02.
38. The rate at which the rod cools is proportional to the
difference between the temperature of the rod and
the surrounding air (20° Celsius). Thus,
Note that the right-hand side of this equation is posi•
tive if the number of critters is less than the carrying
capacity (100). Thus, we have growth. Usingournu•
merical solver, we input the equation and the initial
condition, arriving at the following solution curve.
100
dT -.
·------.
·-------·
.
------•-
.
dt = -k(T - 20). 00 �-,--,_--,� --,,--,-�/·,-,,-,,-,-,�·
,,,,, ,,,,,
With k == 0.085 and an initial temperature of 300°
Celsius, we must solve the initial value problem
,.,. .; .; .,, .,, ,,,. .,;. .; ., ; .,,
00 ��;���;�;:�;:�;:;;;:.
,,,,,,, .,,,, ,,,,,,,,,,,, .,,,,, ,,,,,,
� �
�;;�:�
�;� �;�
;,
;;,,
;;,�
i-
d
T
t -0.085(T - 20), T(O) = 300, � �,
w--,,
-,
��,
�,
-,
� ,-,�
,,
_,,
_, �·
,, ,,
=
,,, ,, ,
�-----�------ -�-- -��
------------·
20 30
Using our numerical solver, we input the equation
and initial condition, arriving at the following solu•
tion curve.
Use the solution curve to estimate that there are about
91 critters in the environment at the end of 30 days.
300
'. ·· ·· .,: ·· ·· ··
··, •· ·· ··
' .
12. 1
+
x
Section 2.2. Solutions to Separable Equations .
2.2 Solutions to Separable Equations 21
1. Separate the variables and integrate.
dy
-=xy
dx
dy
-=xdx
y
5. Separate the variables and integrate.
dy
dx = y(x + 1)
-dy = (x + l)dx
y
1 2 In IYI =
1
x
2
+ x + C
In IYI =
2x + C 2
ly(x)I = ex2;2+c
y(x) = ±ec . ex2;2
= Aex2;2'
Where the constant A = ±ec is arbitrary.
2. Separate the variables and integrate.
dy
x-=2y
dx
1 2
-dy = -dx
y x
In IyI = 2 ln Ix I + c
IYI = elnx2+c
y(x) = ±ecx2
Letting D = ±ec, y(x) = Dx2.
3. Separate the variables and integrate.
dy = ex-y
dx
eYdy = eidx
eY =ex+ C
y(x) = In(ex + C)
4. Separate the variables and integrate.
dy
- = (1 y2)ex
dx
IYI = e(lf2)x2+x+C
y(x) = ±ece(lf2)x
2
+x
Letting D = ±ec, y = De(l/2)
2
+x.
6. Separate the variables and integrate. Note: Factor
the right-hand side.
dy
dx = (ex+ l)(y - 2)
1
--dy =(ex+ l)dx
y-2
In Iy - 21 = ex + x + C
IY - 21 = eex+x+C
y - 2 = ±eceex+x
Letting D = ±ec, y(x) = Deex+x + 2.
7. Separate the variables and integrate,
dy x
-=--,
dx y+2
(y + 2) dy = x dx,
1 1
2y2+2y=2x2+c,
y2 + 4y - (x2 + D) = 0,
With D replacing 2C in the last step. We can use the
quadratic formula to solve for y.
y(x) = -4 ± )16 + 4(x
2
+ D)
2
-
1
- dy = e
x
dx
y(x) = -2 ± Jx2 + (D + 4)
-
+y
tan-1
y =ex+ C
y(x) = tan(ex + C)
If we replace D + 4 with another arbitrary constant
E, then y(x) = -2 ± ,Jx2 + E.
13. (1 -)
+
-1
)
2
1
22 Chapter 2 First-Order Equations
8. Separate the variables and integrate.
:: =yV1)
.!_dy = + - dx
y x -1
In IyI = x + In Ix - 11 + c
IYI = ex+ln lx-lJ+C
y(x) = ±ecexelnlx-11
Letting D = ±ec, y(x) = Dex Ix - 11. It is impor•
tant to note that this solution is not differentiable at
11.
12.
(y3 - 2) dy = x
dx
(y3 - 2)dy = xdx
y4 x2
4-2y = T +c.
The solution is given implicitly by the equation
y4
- 8y - 2x2 = A, where we have set A= 4C.
dy 2x(y + 1)
x = 1 and further information (perhaps in the form dx
=
x2 - 1
of an initial condition) is needed to remove the ab•
solute value and determine the interval of existence.
9. First a little algebra.
x2y' = ylny - y'
(x2 + l)y' = ylny
Separate the variables and integrate.
1 1
--dy=--dx
yln y x2 1
13.
dy 2xdx
y + 1 x2 -1
In IY + 11 = In lx
2
- 11 + C
IY + 11 = elnJx2-11+c = ec lx2 -11
y(x) = A(x2
- 1) - 1.
dy y
1 1
-du= --dx,
u x2 + 1
where u = In y and du = -} dy. Hence, ln lul
tan"! x + C. Solve for u:
lul = etan-1 x+c
U = ±ec etan
1
x-
=
dx x
dy dx
=
y x
}.,,IyI = In Ix I + c
ly(x)I = elnlxl+C = ec lxl
y(x) = Ax.
The initial condition y(l) = -2 gives A = -2. The
10.
Let D = ±ec, replace u with In y, and solve for y.
lny = D/an x
tan-!
y(x) = eDe x
14.
solution is y(x) = -2x. The solution is defined for
all x, but the differential equation is not defined at
x = 0 so the interval of existence is (0, oo).
dy 2t(I + y2
x dy = y(l + 2x2
)
dx
dt y
-dy= 1 + 2x dx= [
-1 +2xJ dx
ydy = -2t dt
1 + y2
y x x
In IyI = ln IxI + x2
+ c
ly(x)I = elnlxl+x2+c = eclxlex2
2
y(x) = Axex
- ln(l + y2) = -t2
+ C
2
1 + y2 = e-2,2+c = ece-2t2
1 + y2 = Ae-2t2
14. ( )
.
+
+
With y(O) = 1, 1 + 12
= Ae-2 0 2
and A= 2. Thus,
1 + y2 = 2e-2t2
y = ±J2e-2t2 - 1.
We must choose the branch that contains the initial
2
16.
2.2 Solutions to Separable Equations 23
dy = ex+y
dx
e-y dy = ex dx
-e-Y =ex+ C
e-y = -ex - c
condition y(O) = 1. Thus, y = J2e-2t
solution is defined, provided that
2
- 1. This
With y(O) = 1,
-y = ln(-ex - C)
y = -In(-ex - C)
2e-2r - 1 > 0
e-2t2 > !
2
-2t2
>In!
2
t2
< -21n !2
Thus,
1 = -ln(-e0
- C)
-1- C = e-1
C=-l-e-1
y = - In(-ex + e-1
+ 1).
15.
t2
< ln4
ltl < Jin4.
Thus, the interval of existence is (-v1n4, v1n4).
dy sinx
17.
This solution is defined provided that
-ex+ e-1
+ 1 > 0
ex< e-1
+ 1
x < ln(e-1
+ 1).
Thus, the interval of existence is (-oo, ln(e-1
+ 1)).
dx
=
y
dy = 1 + 2
dt y
ydy = sinxdx
1 2
2y = -cosx C1
y2 = -2cosx + C (C = 2C1)
y(x) = ±,Jc - 2cosx
Using the initial condition we notice that we need
the plus sign, and 1 = y(n/2) = ,Jc. Thus C = 1
and the solution is
y(x) = ,vl - 2cosx.
The interval of existence will be the interval con•
taining Jr /2 where 2 cos x < 1. This is n/3 < x <
18.
_!}z_ = dt
1 + y2
tan-1
(y) = t + C
y(t) = tan(t + C)
For the initial condition we have 1 = y(O) = tan C,
so C = n/4 and the solution is y(t) = tan(t +
Jr /4). Since the tangent is continuous on the interval
(-n/2, n/2), the solution y(t) = tan(t + n/4) is
continuous on the interval (-3n/4, n/4).
dy x
----
dx 1 2y
(1+2y)dy=xdx
2
Sn/3. y + y2 = x /2 + C
15. +C
-
24 Chapter 2 First-Order Equations
This last equation can be written as y2
+y - (x2
/2 +
C) = 0. We solve for y using the quadratic formula
20.
dy x
y(x) = [-1 ± J1 + 4(x2
/2 + C1) J /2
= [-1 ± J2x2
+CJ /2 (C = 1 + 4C1)
For the initial condition y(-1) = 0 we need to take
the plus sign in order to counter the -1. Then the
initial condition becomes O = [-1 + J2 + C]/2,
which means that C = -1. Thus the solution is
-1 + J2x2 -1
y(x) = 2 .
For the interval ofexistence we need the interval con•
taining -1 where 2x2
- 1 > 0. This is -oo < x <
-1/v'2,.
19. Withy(O) = 1,wegetthesolutiony(x) = Jl +x2,
with interval of existence (-oo, oo). This solu•
tion is plotted with the solid curve in the follow•
ing figure. With y(O) = -1, we get the solu•
tion y(x) = -JT+x2, with interval of existence
(-oo, oo). This solution is plotted with the dashed
curve in the following figure.
i
2
0
x
dx
=
y
ydy=-xdx
1 2 1 2
2y = -
2x
y2 = 2C -x2
y = ±J2C-x2
With y(O) = 2, we choose the positive branch
and 2 = J2c leads to C = 2 and the solution
y = J4 - x2 with interval of existence (-2, 2).
This solution is plotted as a solid curve in the fol•
lowing figure. With y(O) = -2, we choose the neg•
ative branch and -2 = -J'fc leads to C = 2 and
the solution y - J4 - x2 with interval of existence
(-2, 2). This solution is shown as a dashed curve in
the figure.
y
/
/
<,
-2 0 2
/
/ -2 <,
/ <,
/ <,
-4
21. With y(O) = 3 the solution is y(t) = 2 + «'. on
(-oo, oo). This solution is plotted is the solid curve
in the next figure. With y(O) = 1 the solution is
y(t) = 2 - e:', on (-oo, oo). This solution is plot-
17. -
26 Chapter 2 First-Order Equations
(b) If the half-life is 12 hours, then
!No= Noe-}..(12)
2
e-m
=
1
2
1
T1;2 = In 2/J.. = 7.927days.
7
6.8
a:
6.6
-12>.. = ln-
2
In l
A=--
-12
Hence, the time constant is
.f:
6.4
6.2
6
2 4 6 8 10
Day
1 -12
T).. = - - - � 17.3hr.
J.. In l2
(c) If 1000 mg of the substance is present ini•
tially, then the amount of substance remain•
ing as a function of time is given by N =
1000e(tln(l/2))/I2. The graph over four time pe-
31. The half-life is related to the decay constant by
ln2
T1;2= -.
J..226
The decay rate is related to the number of atoms
present by
Substituting,
riods ([O, 4T)..]) follows.
1000
Nln2
T1;2 = -R-.
Calculate the number of atoms present in the lg sam•
ple.
800
600
z
400
200
Now,
1 mol 6.02 x 1023
atoms
N = lg x -- x ------
226 g mole
= 266 x 1021 atoms.
(2.66 x 1021
atoms)(ln 2) 10
0
0 20 40 60 80
T1;2 = 3.7 x 1010 atom/s
= 4.99 x 10 s.
In years, T112 � 1582 yr. The dedicated reader might
check this result in the CRC Table.
30. The data is plotted on the following figure. The line
is drawn using the slope found by linear regression.
It has slope -A = -0.0869. Hence the half-life is
32. (a) Because half of the existing 14
C decays every
5730 years, there will come a time when phys•
ical instruments can no longer measure the re•
maining 14
C. After about 10 half-lives (57300
18. ( 2
2.2 Solutions to Separable Equations 27
years), the amount of original material remain•
ing is
No
1)10
� 0.00097N0,
a very small amount.
(b) The decay constant is calculated with
ln2 ln2
).., = - = - � 0.0001245.
T1;2 5568
We can now write
N = Noe-o.0001245t.
The ratio remaining is 0.617 of the current ratio,
so
0.617No = Noe-o.0001245t
e-o.0001245t = 0.617
-0.0001245t = In 0.617
In 0.617
t=----
-0.0001245
Thus, the charcoal is approximately 3879 years
old.
33. Let t = 0 correspond to midnight. Thus, T (0) =
31 °C. Because the temperature of the surrounding
medium is A = 21 °C, we can use T = A + (To -
A)e-kt and write
T = 21 + (31 - 21)e-kt = 21 + lOe-kt.
At t = 1, T = 29°C, which can be used to calculate
k.
29 = 21 + lOe-k(l)
k = - ln(0.8)
k � 0.2231
Thus, T = 21 + 10e-0·2231t. To find the time of
dea1h, enter "normal" body temperature, T = 37°C
and solve fort.
37 = 21 + 10e-0.223lt
In 1.6
t=---
-0.2231
t � -2.l hrs
Thus, the murder occurred at approximately 9:54
PM.
34. Let y(t) be the temperature of the beer at time t
minutes after being placed into the room. From New•
ton's law of cooling, we obtain
y'(t) = k(70 - y(t)) y(O) = 40
Notekispositivesince70 > y(t) andy'(t) > O(the
beer is warming up). This equation separates as
dy
--=kdt
70-y
which has solution y = 70 - Ce-kt. From the
initial condition, y(O) = 40, C = 30. Using
y(lO) = 48, we obtain 48 = 70 - 30e-10k or
k = (-1/10) ln(ll/15) or k = .0310. When
t = 25, we obtain y(25) = 70- 30e-·598 � 56.18°.
35. The same differential equation and solution hold as
in the previous problem:
y(t) = 70 - ce:"
We let t = 0 correspond to when the beer was dis•
covered, so y(O) = 50. This means C = 20. We
also have y(lO) = 60 or
60 = 70 - 2oe-l0k
Therefore,k = (-1/JO)ln(l/2) � .0693. We want
to find the time T when y(T) = 40, which gives the
equation
70 - 20e-kT = 40
Since we know k, we can solve this equation for T
to obtain
T = (-1/k)ln(3/2) � -5.85
or about 5 .85 minutes before the beer was discovered
on the counter.
36. x' = [at+by+c]' = a+by' = a+bf(at+by+c) =
a+ /(x).Fortheequationy' = (y+t)2
weusex =
t+y. Thenx' = l+y' = l+(y+t)2 = l+x2.Solv•
ing this separable equation in the usual way we get
thegeneralsolutionx(t) = tan(t+C).Intermsofthe
unknown y, we get y(t) = x(t)-t = tan(t+C)-t.
19. =
y2
28 Chapter 2 First-Order Equations
37. The tangent line at the point (x, y) is y - y
y'(x)(x - x) (the variables for the tangent line have
the hats). The P intercept is.q., = -y/y' +x. Since
(x, y) bisects the tangent line, we have Xint = 2x.
Therefore:
-y
2x -+xy'
or
y' -1
-=-
y x
This separable differential equation is easily solved
to obtain y(x) = C/x, where C is an arbitrary con•
stant.
38. With the notation as in the previous problem, the
equation of the normal line is
which can be separated as dr/r = cot(() /2)d(). This
can be solved for r as r(()) = C sin2(e/2), where C
is a constant.
40. The area under the curve y = y(t) from Oto xis
fox y(t) dt
which by assumption, equals (1/4)xy(x) (one•
fourth the area of the rectangle). Therefore
fox y(t) dt = (l/4)xy(x).
Differentiating this equation with respect to x and
using the Fundamental Theorem of Calculus for the
y
"
- y = -1
(
"
-x)
left side gives
-- x
y'(x)
The .x-intercept is found to be Xint = yy' + x. Since
Xint - x is given to be ± 1, we obtain
yy' = ±2
y(x) = (1/4) (y(x) + xy'(x)).
This equation separates as
y' 3
with solution y2
= ±4x + C, where C is an arbitrary y
=
x
constant.
39. Let </> be the angle from the radius to the tangent.
which has the solution y(x) = Cx3.
41. Center the football at the origin with equation
z2+x2 +- =4.
4
The top half of the football is the graph of the func•
tion
z = .J4 - x2 - y2
/4.
The (x, y)-components of the path of a rain drop
form a curve in the (x, y)- plane which must always
point in the direction of the gradient of the function
z (the path of steepest descent). The gradient of z is
given by
vz =
+xi - (y/4)j
--;::=====
J4- x2 - y2/4
From geometry, tan e = rdti]dr. Since e = 2</>, we
obtain
where i and j are the unit vectors parallel to the x and
y-axis. Since the path traced by the drop, y = y(x),
must point in the direction of Vz, we must have
dr
d() = r cot</> = r cot(() /2)
dy . z y
- = slope of the gradient = .2 = - .
x � �
20. )
2.3 Models of Motion 29
This differential equation can be separated and
solved as x = Cy4
• C can be solved from the initial
position of the drop (xo, Yo) to be C = xo/Yci· The
final answer is given by inserting x = Cy4 into the
expression for z:
(x, y, z) = (Cy4, y, J4 - C2y8 - y2/4),
(here, y is the independent variable).
42. Let y (t) be the level of the water and let V (t) be the
volume of the water in the bowl at time t. On the one
hand, we have dV/dt = cross sectional area of the
water level x dy /dt. The cross sectional area of the
water level is ,rx2
, where x is the radius. Using the
equation of the side of the bowl (y = x2
, we obtain
change of volume, d V/dt is the cross sectional area
multiplied by the rate of change in height, dy /dt.
The cross sectional area is nx2
= nx(y)2
• Thus
dV 2dy
- =JTX -
dt dt
From Torricelli's law:
dV 2 2 �
- = -na v = -na y2gy
dt
Since dy /dt = C (a negative constant), we obtain
Cnx" = -na2
/2gy
Solving for y, we obtain y = K x4
where K is a
constant.
dV dy
dt = ny(t) dt ·
On the other hand, dV/dt is equal to na2v where v
is the speed of the water exiting the bowl. From the
hint, v = ,J2gy(t). Thus we obtain the following
differential equation:
44. Following the hint, let () be the polar angle and lo•
cate the destroyer at 4 miles along the positive x-axis.
The destroyer wants to follow a path so that its arc
length is always three times that of the sub. To ac•
count for the possibility that the sub heads straight
along the positive x-axis, the destroyer should first
head from x = 4 to x = 1 (the sub would move
ny(t)
dy
=
dV
= -na2 �
from x = 0 to x = 1 in this same time frame under
- - y2gy(t).dt dt
This equation can be separated and solved for y as
3 )2/3y(t) = (C -
2
affgt
Since y(O) = 1, we obtain C = 1. Setting y(t) = 0,
we obtain
2
t=---
3a2vlg
in units of seconds (here g = 32).
43. Let the unknown curve forming the outside of the
bowl be given by y = y(x) (the bowl is then formed
this scenario). Now the destroyer must circle around
the sub along a polar coordinate path r = r(()). We
have r(O) = 1. If the destroyer intersects the sub at
((), r (())), then the sub will have traveled r (()) and the
destroyer would have traveled Ji Jr'(t)2 + r(t)2 d()
(arc length along the curve r = r(())). Since the
speed of the destroyer is three times that of the sub,
we obtain
3(r(8) - 1) = 1·Jr'(t)Z + r(t)2 d&.
Differentiating this equation gives
by revolving this curve around the y-axis). We can 3r' = ...;'(r')2 + r2 or
dr r(())
- = -- r(O) = 1
also write this equation as x = x (y) (reversing the
roles of the independent and dependent variables).
As in the analysis of the last problem, the rate of
d() ,Jg
with solution r(()) = e8f-v'3.
21. ,
,
•
,
15
30 Chapter 2 First-Order Equations
Section 2.3. Models of Motion
1. We need gt = c/5. or t = c/5g = 612,240 sec-
onds. The distance traveled will be s = gt2
/2 =
1.84 x 1014
meters.
2. We need O = -9.8t2
/2 + l5t + 100. The answer is
6.3 seconds.
required is t = m ln(2) /r. The distance traveled is
x = 1'v(s)ds
= mg r(e-rs/m - 1) ds
r lo
3. The depth of the well satisfies d = 4.9t2
where tis
= �g [; (1- e-rt/m) _ t]
m�n2]the amount of time it takes the stone to hit the water.
It also satisfies d = 340s, where s = 8 - t is the
amount of time it takes for the noise of the splash
to reach the ear. Thus we must solve the quadratic
equation 4.9t2 = 340(8 - t). The solution is t =
7.2438sec. The depth is d = 340(8 - t) = 257.lm.
4. In the first 60s the rocket rises to an elevation of
(100- 9.8)t2
/2 = 162, 360m and achieves a veloc-
= �g [;, _
= �:grn-1n2J
9. The resistance force has the form R = -r v. When
v = 0.2, R = -1 so r = 5. The terminal velocity is
Vtenn = -mg/r = -0.196m/s.
ity of v(60) = (100 - 9.8) * 60 = 5412m/s. After 10.
that the velocity is 5412 - 9. 8t. This is zero at the
highest point, reached when t1 = 552.2s. The alti-
tude at that point is 162, 360 + 5412 t1 - 9.8 t[/2 =
1.657 x 106
m. From there to the ground it takes t2s,
total trip takes 60 + 552.2 + 581.5 = 1193.7s.
(a) First, the terminal velocity gives us 20 =
mg/r, or r = mg/20 = 70 x 9.8/20 = 34.3.
Next, we have v(t) = ce:"!" - mg/r. Since
v(O) = 0, C = mg/r, and v(t) = mg(e-rt/m_
1)/r. Integrating and setting x (0) = 0, we get
x = 1'
where 4.9tf = 1.657 x 106
or ti = 581.5s. The
v(s)ds
5. The distance dropped in time t is 4.9t2 If T is = mg r(e-rs/m - 1) ds
the time taken for the first half of the trip, then r lo
4.9(T + 1)2
= 2 x 4.9T2
or 4.9(T2
- 2T -1) = 0. mg [m -rt/m J
Solving we find that T = 1 + v'2 = 2.4142s. So
the body fell 2 x 4.9T2
= 57 .12m, and it took
T + 1 = 3.4142s.
6. (a) v5/2g
= 7 70 -e )-t
Hence v(2) = -12.4938 and x(2)
-14.5025.
(b) The velocity is 80% of its terminal velocity
when 1 - e-rt/m = 0.8. For the values of m =
70 and r = 34.3 this becomes t = 3.2846s.
(b) Both times are equal to vo/g.
11. Without air resistance, v0 = J2 x 13.5g =
(c) VQ.
7. The velocities must be changed to ft/s, so v0 =
16.2665m/s. With air resistance, v0 is defined by
° v-dv----r J. dy
60 mi/h = 60 x 5280/3600 = 88ft/s, and v =
30 mi/h == 44ft/s. Then a = (v2 - v5)/2(x - xo) =
-5.8ft/s2
.
Hence,
1vo -
v + mg/r - m 1.s ·
- Vo+ (mg/r) ln(vo + mg/r) - (mg/r) ln(mg/r)
8. We have v(t) = ce-rt/m - mg/r. If v(O) = 0 then C = mg/r, and v(t) = mg(e-rt/m - 1)/r. This is
22. equalto --mg/2r when e-rt/m = 1/2. Thus the time r
= -13.5- or
m
- vo + 491n(vo + 49) - 49ln(49) = -2.7
27. 2.4 Linear Equations 35
13.
Depending on the sign oft and whether n is even or
odd, ltl-n either equals r» or -t-n. In either case,
when we multiply our equation by either of these
integrating factors, we arrive at
t-nx' - nt-n-lx = e',
Note that the left-hand side of this result is the deriv•
ative of a product, integrate, and solve for x.
(t-nx)' = et
t-nx =et+ C
X = t11
et + Ctn
(a) Compare y' + y cos x = cos x with y' =
a(x)y + f (x) and note that a(x) = - cosx.
Consequently, an integrating factor is found
with
u(x) = e-fa(x)dx = efcosxdx = esinx.
Multiply both sides of the differential equation
by the integrating factor and check that the re•
sulting left-hand side is the derivative of a prod•
uct.
where A is any real number, except zero. How•
ever, when we separated the variables above by
dividing by y - 1, this was a valid operation
only if y -:/- 1. This hints at another solution.
Note that y = 1 easily checks in the original
equation. Consequently,
y(x) = 1 - Ae-sinx,
where A is any real number. Note that this will
produce the same solutions a y = 1 +Ce- sin x,
C any real number, the solution found in part
(a).
14. Compare y' = y + 2xe2
x with y' = a(x)y + f(x)
and note that a (x) = 1. Consequently, an integrating
factor is found with
u(x) = ef -a(x)dx = ef -1 dx = e=.
Multiply both sides of our equation by the integrating
factor and note that the left-hand side of the resulting
equation is the derivative of a product.
esinx (y' + Y COS X) = esinx COS X
(esin X y) I =esin X COS X
Integrate and solve for y.
esinx Y = esinx + C
y(x) = 1 + ce-sinx
(b) Separate the variables and integrate.
dy
- = cosx(l - y)
dx
dy
-- =cosxdx
I-y
- ln 11 - y I = sin x + C.
Take the exponential of each side.
11 - YI = e-sinx-C
l _ y = ±e-Ce-sinx
If we let A = ±e-c, then
e-xy' - e= y = 2xex
(e-xy)' = 2xex
Integration by parts yields
Consequently,
e-xy = 2xex - 2ex + C
y(x) = 2xe2
x - 2e2
x + ce"
The initial condition provides
3 = y(O) = 2(0)e2
CO) - 2e2
CO) + Ce0
= -2 + C.
Consequently, C = 5 andy(x) = 2xe2
x-2e2
x+sex.
15. Solve for y'.
y(x) = 1 - Ae-sinx,
, 3x 6x
y = - x2 + 1 y + x2 + 1
28. 2
+
2
2
)
36 Chapter 2 First-Order Equations
Compare this with y' = a (x)y + f(x) and note that
a(x) = -3x/(x2 + 1). Consequently, an integrating
factor is found with
u(x) = ef-a(x)dx = ef 3x/(x2
+1)dx
= e<3/2) ln(x +1) = (x2 + 1)3/2.
Consequently, C = -n/4 and
tan-1 t - zr..
y(t) = (1 + t2)24.
= =17. Compare x' + x cost (1/2) sin 2t with x'
Multiply both sides of our equation by the integrating
factor and note that the left-hand side of the resulting
equation is the derivative of a product.
(x2 + 1)3/2 y' + 3x(x2 + l)1;2 y = 6x(x2 + 1)1;2
((x2 + 1)3/2 y)' = 6x(x2 + 1) 1/2
Integrate and solve for y.
(x2 + 1)3/2 y = 2(x2 + 1)3/2 + C
y = 2 + C(x2 + 1)-3/2
The initial condition gives
-1 == y(O) = 2 + C(02
+ 1)-3
12
= 2 + C.
a(t)x + f(t) and note that a(t) = - cost. Con•
sequently, an integrating factor is found with
u(t) = ef-a(t)dt = efcostdt = esint.
Multiply both sides of our equation by the integrating
factor and note that the left-hand side of the resulting
equation is the derivative of a product.
. . 1 .
esmtx' esmt (cos t)x = -esmt sin 2t
2
(esm. tX )' = -1esm. t sin 2t
2
Therefore, C = -3 and y(x) = 2 - 3(x2
+ 1)-3
/ .
16. Solve for y',
I 4t 1
y = - 1 + t2 y + 1 + t2
Compare this with y' = a(t)y + f(t) and note that
a(t) = -4t/(1 + t2). Consequently, an integrating
factor is found with
u(t) = ef -a(t)dx = ef 4t/(l+t2
)dt
= e2ln Jl+r J = (1 + t2)2.
Multiply both sides of our equation by the integrating
factor and note that the left-hand side of the resulting
equation is the derivative of a product.
(1 + 2 2y' + 4t(l + 2) =
1
-t ) t -
l+t
((1 + t2)2y)' =
l+t
(1 + t2 2
y = tan-1
t + C
The initial condition y(l) = 0 gives
(1 + 12
)2(0) = tan-1
1 + C.
Use sin 2t = 2 sin t cost.
(esin tX)I = esin t Sin t COS f
Let u = sin t and dv = esint cost dt. Then,
Jesin t cos t sin t d t = Ju d v
= uv - Jvdu
= (sin t)esint - Jesint cost dt
= (sin t)esint _ esint + C
Therefore,
esintx = esint sin t - esint + c
x(t) = sin t - 1 + ce-sint
The initial condition gives
1 = x(O) = sin(O) - 1 + Ce-sin(O) = -1 + C.
Consequently, C = 2 andx(t) = sin t-1 +2e-sint.
41. 3
+
I
•
48 Chapter 2 First-Order Equations
This equation is linear and homogeneous. It can be
solved by separating variables. The general solution
isS(t)+A(lOO-t)3.SinceS(O) = lOOx0.05 = 5,
we see that A = 5 x 1o-6
, and the solution is
S(t) = 5 x 10-6 x (100 - t)3.
When V(t) = 100 - t = 50 gal,
We are asked to find when this is one-half of
21.5342. This happens when (30 - t)2
= 450
or at t = 8.7868 min.
8. Letx(t) represent the amount of drug in the organ at
time t. The rate at which the drug enters the organ is
3 3
S(t) = 5 x 10-6
x 503 = 0.625 lb. rate in= a cm /s x K g/cm = ate g/s.
7. (a) The volume of liquid in the tank is increasing
by 2 gal/min. Hence the volume is V (t) =
100 + 2t gal. Let x(t) be the amount of pol•
lutant in the tank, measured in lbs. The rate
The rate at which the drug leaves the organ equals
the rate at which fluid leaves the organ, multiplied
by the concentration of the drug in the fluid at that
time. Hence,
in during this initial period is 6 gal/min · 0.5
lb/gal = 3 lb/gal. The rate out is 8 gl/min
rate out= b cm3/sx
x(t)
--- g/cm
b
= ---x(t) g/s.
·x/V = 4x/(50+t).Hencethemodelequation
is
Consequently,
Vo+ rt Vo+ rt
x' = 3 - 4x/(50 + t).
This linear equation can be solved using the in•
tegrating factor u(t) = (50 + r)". The general
solution is x(t) = 3(50 + t)/5 + C(50 + t)-4.
The initial condition x (0) = 0 allows us to
compute the constant to be C = -1. 875 x 108
.
Hence the solution is
8
x(t) = 3t + 30 _ 1.875 x 10
5 (50+t)4
After 10 minutes the tank contains x(lO) =
21.5324 lb of salt.
(b) Now the volume is decreasing at the rate of
4 gal/min from the initial volume of 120 gal.
Hence if we start with t = 0 at the 10 minute
mark, the volume is V (t) = 120- 4t gal. Now
the rate in is 0, and the rate out is 8 gal/min
·x/V = 2x/(30 - t). Hence the model equa-
tion is
dx b
-=aK----x.
dt Vo+ rt
The integrating factor is
u(t) = efb/(Vo+rt)dt = e(b/r)ln(Vo+rt) = (Vo+rt)b/r.
Multiply by the integrating factor and integrate.
((Vo+ rtllrx )' = aK(Vo + rt)b/r
(V,O
+ rt)b/rx = aK (V,0
+ rt)h/r+l + L
r(b/r + 1)
aK
x =--(Vo+ rt)+ L(Vo rt)-b/r
b+r
No drug in the system initially gives x (0) = 0 and
L = -aKVtr+I /(b + r). Consequently,
a« a« V.b/r+l
x = --(Vo+ rt) - 0
(Vo+ rt)-b/r,
+r b+r
x = �(Vo+ rt) [1 - vtr+1(v0 + rt)-b/r-1],
x =-
2X b+r
--
30- t
a« [ ( v;0 )b/r+l]
This homogeneous linear equation can solved
by separating variables to find the general solu•
x = --(Vo + rt) 1 - -- - •
b + r Vo+ rt
tion x(t) = A(30 - t)2
At t = 0 we have The concentration is found by dividing x(t) by
x(O) = 21.5342, from which we find that
A = 21.5342/900, and the solution is
V (t) = Vo +rt. Consequently,
c(t)=
a« [
1-
( Vo ) (b+r)/r]
.
21.5342 -- --
x(t) =
900
(30 - t)2. b + r Vo+ rt
42. v
2.5 Mixing Problems 49
9. (a) The rate at which pollutant enters the lake is
rate in = p knr'/yr.
The rate at which the pollutant leaves the lake
10. Because the factory stops putting pollutant in the
lake, p = 0 and e' + ((r + p)/V) e = p/V be•
comes
50
is found by multiplying the flow rate by the
concentration of pollutant in the lake.
e' + e = 0.
100
rate out= (r + p) knr'/yr x x(t) krrr'/krn.3
v
r+p 3
= lfx(t)km /yr
Consequently,
dx r+ p
-=p---x.
dt
Bute(t) = x(t)/V, so Ve'(t) = x'(t) and
I r+ p
Ve = p - lf(Ve),
c' + r + p c = .!!_.
v v
(b) With r = 50 and p = 2, the equation becomes
f 2 50+2
c = 100 - ----iooc,
c' = 0.02 - 0.52c.
This is linear and solved in the usual manner.
(e0.52te)' = 0.02eo.052t
e0.52te = 0.02 eo.os2t + K
0.52
Note that we carried r = 50 from Exercise 9.
This equation is separable, with general solution
e = K e-<1
12
)t. The initial concentration is 3.5%,
so e(O) = 0.035 produces K = 0.035 and
e(t) = 0.035e-<1!2)t.
The question asks for the time required to lower the
concentration to 2%. That is, when does e(t)
0.02?
0.02 = 0.035e-Ol2>r
_ = ln 0.02
2 0.035
0.035
t= 2 ln--
0.02
t � 1.1 years
11. (a) The concentrations are plotted in the following
figure. In steady-state the concentration varies
periodically.
1
e = -
26
+ Ke-o.s2t 0.04
The initial concentration is zero, so e(O) = 0
produces K = -1 /26 and
c = 1 -1 e-0.52t
26 26
The question asks when the concentration
reaches 2%, or when e(t) = 0.02. Thus,
0.02 = � (1 - e-o.s2t)
26 '
e-o.s2t = 0.48,
In 0.48
t = - 0.52 '
t � 1.41 years.
0
0.035
30 40 50 60
(b) The following figure shows one year of the os•
cillation, and indicates that the maximum con•
centration occurs early in February. This is four
months after the time of the minimum flow.
43. 0 This linear equation can be solved using the
integrating factor u(t) = e0
·
52t. With the ini•
tial condition x (0) = 0 we find the solution
x(t) = 2[1 - e-o.szr]/0.52.
Let y(t) be the amount of pollutant (measured
Feb Jul
t
Jan in knr') in Lake Sad Times. The rate into lake
Sad Times is the same as the rate out of Lake
Happy Times, or 0.52x knr'/yr. The rate out is
·
,
.
50 Chapter 2 First-Order Equations
Thus there is a shift ofphase between the cause 13.
and the effect.
12. For Tank A we have a constant volume of 100 gal.
Let x(t) denote the amount of salt in Tank A. The
rate into Tank A is 0, and the rate out is 5 galls x
x/lOOlb/gal = x/20lb/s. Hence the model equa•
tion is
(a) Let x(t) be the amount of pollutant (measured
in km") in Lake Happy Times. The rate in for
Lake Happy Times is 2 krrr'/yr. The rate out is
52km3
/yr x x/100 = 0.52x knr' /yr. Hence
the model equation is
x' = 2 -0.52x.
52km
3
/yr x y/100 = 0.52ykm
3
/yr. Hence
the model equation is
y' = 0.52(x - y) = 2[1 - e-o.szt] - 0.52y.
x'=-�
20
The solution with initial value x(O) = 20 is x(t) =
2oe-t/20.
The volume of solution in Tank B is increasing at
2.5 galls. Hence the volume at time t is 200 + 2.5t.
Let y(t) denote the amount of salt in Tank B.
Then the rate into Tank B is the same as the rate
out of Tank A, x /20. The rate out of Tank B is
2.5gal/s x y/(200+2.5t)lb/gal = y/(80+t)lb/s.
Hence the model equation is
This linear equation can also be solved using
the integrating factor u(t) = e0 52t. With the
initial condition y(O) = 0 we find the solution
y(t) = 2[1 - e-O.SZt]/0.52 - 2te-
0.5Zt
= x(t) - 2te-o.szr.
After 3 months, when t l/4, we
have x(l/4) = 0.4689km3
and y(l/4) =
0.0298km3
.
(b) If the factory is shut down, then the flow of
, _ � Y e-t/20 Y_ pollutant at the rate of 2 knr'/yr is stopped.
y - 20 80 + t - 80 + t
This linear equation can be solved using the inte•
grating factor u (t) = 80 + t. The general solution
is
This means that the flow between the lakes and
that out of Lake Sad Times will be reduced to
50 knr'/yr in order to maintain the volumes.
We will start time over at this point and we have
the initial conditions x(O) = x1 = 0.4689km3
(t) = _c_ - 20e-tf20 - 400 e-t/20.
y 80 + t 80 + t
Since y(O) = 40, we can compute that C = 65 x
80 = 5200. Hence the solution is
and y(O) = y1 = 0.0298km3
Now there is no flow of pollutant into Lake
Happy Times, and the rate out is x /2 krrr'/yr.
Hence the model equation is x' = -x/2. The
solution is x(t) = x1 e-t/2•
y(t) = 5200 20e-tf20 _ -
40
-
0
e-t/20. The rate into Lake Sad times is x /2 knr'/yr,
80 + t 80 + t
Tank B will contain 250 gal when t = 20. At this
point we have y(20) = 43.1709 lb.
and the rate out is
y/2 knr'/yr. The model equation is y' =
(x -y)/2 = x1e-tf2/2-y/2. this time we
44. v v
v
+
v
v v '
2.5 Mixing Problems 51
use the integrating factor u(t) = et/2
and find
the solution
The plot of the solution over 10 years is shown
in the following figure. It is perhaps a little sur•
prising to see that the level of pollution in Lake
Sad Times continues to rise for some time after
the factory is closed.
0.2
0.15
>- 0.1
Initially, there is no salt in Tank I, so x (0) = 0 pro•
duces K = -a V and
X = aV - aVe-(b/V)t.
Let y (t) represent the amount of salt in Tank II at
time t. Salt enters Tank II at the same rate as it
leaves Tank I. Consequently,
rate in II= (b/V)x(t) lb/min.
Salt leaves Tank II at
rate out II = y(t)/ V lb/gal x b gal/min
= (b/V)y(t) lb/min.
0.05
o�----_. .
Consequently,
dy b b
-= -x- -y.
dt
0 5 10
Time in years Substitute the solution found for x.
Using a computer or a calculator, we find that
y(t) = yif2 when t = 10.18 yrs.
14. Let x (t) represent the amount of salt in Tank I at time
t. The rate at which salt enters Tank I is
rate In I= a lb/gal x b gal/min= ab lb/min.
Salt leaves Tank II at
rate out I= x(t)/ V lb/gal x b gal/min
= (b/ V)x(t) lb/min.
Consequently,
dx b
-=ab--x.
dt
This equation is linear with general solution
x =av+ Ke-(b/V)t_
dy b b
- = - (aV - aVe-(b/V)t) - -y
dt
dy b
- = --y (ab - abe-<b/V)t).
dt
This equation is also linear, with integrating factor
ib/V)t, SO
(e(b/V)ty)' = ab (e(b/V)t _ I},
e(b/V)ty = aVe(b/V)t - abt + L,
y = a V - abte-(b/V)t + Le-(b/V)t.
Initially, there is no salt in Tank II, so y(O) = 0
produces L = -a V and
Y = a V - abte-(b/V)t - a Ve-(b/V)t.
45. 2 2
2 2 P
1
=! x dx
aF ,
ay
52 Chapter 2 First-Order Equations
Section 2.6. Exact Differential Equations
1. dF = 2ydx + (2x + 2y)dy
2. dF = (2x - 2y)dx + (-x + 2y)dy
3. dF = xdx + ydy
-/x2 + y2
. dF = -xdx - ydy4
(x2 + y2)3/2
5.
dF =
1
(x2
ydx + y3dx - ydx
x +y
+ x3dy + xy2dy + xdy)
6. dF = (1/x + 2xy3)dx + (1/y + 3x2
y2
)dy
7.
2
10. With P = 1 - y sinx and Q = cosx, we see that
aP . aQ
- =-SinX= -,
ay ax
so the equation is exact. We solve by setting
F(x, y) = fP(x, y) dx = f(1- y sinx) dx
= x + y cos x + </> (y).
To find ¢, we differentiate
aF
Q(x, y) = - = cosx + ¢'(y).
ay
Thus¢' = 0, so we can take¢ = 0. Hence the
solution is F(x, y) = x + y cosx = C.
11. With P = 1 +�and Q =_!,we compute
x x
dF = (
x
x + 1/y) dx
+y 1 aQ 1
= ; ::/:: a; = x2 .
+ 2y
--x)dy
(x2 + y2 y2 Hence the equation is not exact.
12. W"th P = x
and Q = y , we com-
S. dF = ydx - xdy + 4x
2
y3dy + 4y5dy
x2 + y2 pute
,)x2 + y2 Jx2 + y2
-2xy aQ
9. With P = 2x + y and Q = x - 6y, we see that
ay
== (x2 + y2)3/2
=
a;'
er aQ
-=1=-
so the equation is exact. To find the solution we
integrate
ay ax
so the equation is exact. We solve by setting
F(x, y) = fP(x, y) dx
F(x, y) = fP(x, y)dx = f(2x + y)dx
= x2
+ xy + ¢ (y).
To find ¢, we differentiate
Jx2 + y2
= Jx2 + y2 + cp(y).
To find ¢, we differentiate
Q(x, y) = ay = x + ¢ (y).
aF y
Qt», y) = - =
,
= ¢ (y).
Hence¢' = -6y, and we can take ¢(y) = -3y2
•
Hence the solution is F(x, y) = x2+xy-3y2 = C.
46. ay Jx2 + y2
Thus ¢' = 0, so we can take ¢ = 0. Hence the
solution is F(x, y) = Jx2 + y2 = C.
47. c
2
2
13. Exactx3
+xy - y3
= C
14. Not exact
15. Exact u2/2 + vu - v2/2 = C
16. Exact ln(u2
+ v2) = C
17. Not exact
2.6 Exact Differential Equations 53
34. ln x - In y and 1 are homogeneous of degree zero.
35. x2 - Cx = y2
36.
F(x, y) = -(1/2) In
2 2
18. Exact. F(u, y) = ylnu - 2u = C
19. Exactx sin2t - t2 = C
20. Exact x2y2 + x4
= C
21. Not exact.
22. -x/y + Inx = C
23. x2y2/2 - lnx + Iny = C
-(y + 1)2
24. ----=C
x3
; Y )
+ arctan(y/x) - Inx = C
37. F(x, y) = xy + (3/2)x2
= C.
38. y2x2 -41ny -2Inx = C
X +Cx4
39. y(x) = 1 - 2Cx3
40. y(x) = x ln(C + 2 lnx)
41. (a) First,
dy dy/dt v0sine-w
dx dx/dt Vo COS O
25. x - (1/2) ln(x2
+ y ) = C
However, cos O = X jJx2 + y2 and sin O =
xy2/2 -y
26. µ(x) = l/x . F(x, y) = = C
x
1 y2
y/Jx2 + y2, so
voy
--;::::== -w
dy Jx2 + y2 VoY - wJx2 + y2
27. µ(x) = -. F(x, y) = xy - Inx - - = C.
x 2
28. µ(y) = 1/�· F(x, y) = 2x� + (2/3)y3
12
= C
dx
= VQX
Jx2 + y2
VQX
yx +x2
29. µ(y) = l/y2
• F(x, y) = = C
y
Divide top and bottom by v0 and replace co/v0
with k.
y - w Jx2 + y2
30. F(x, y) = x2y3 = C
dy Vo y -kJx2 + y2
------=
dx x x
31. x + y and x - y are homogeneous of degree one.
32. x2 - xy - y2 and 4xy are homogeneous of degree
two.
33. x - Jx2
+ y2
and -y are homogenous of degree
one.
(b) Write the equation
dy y - kJx2 + y2
=
dx x
in the form
(y - kJx2 + y2) dx - x dy = 0.
48. 54 Chapter 2 First-Order Equations
Both terms are homogeneous (degree 1), so
make substitutions y = xv and dy = x dv +
vdx.
(xv -k-/x2 + x2v2) dx -x(x dv + v dx) = 0
After cancelling the common factor x and com•
bining terms,
k�dx-xdv=O.
Separate variables and integrate.
kdx dv
-- =0
x v'f+v2
klnx-ln(�+v)=C
Note the initial condition (x, y) = (a, 0). Be•
cause y = xv, v must also equal zero at this
point. Thus, (x, v) = (a, 0) and
klna - ln(/I=o2 + 0) = C
C = klna.
Therefore,
klnx -ln(� + v) = klna.
Taking the exponential of both sides,
elnxk-ln(�+v) = elnak
xk
-----=ak
v + v'f+v2
(�f=v+�.
Finally, recall that y = xv, so
� = H(�)' - Gr']
v = H(�t'-(�Y-1
(c) The following three graphs show the cases
where a = 1, and k = 1/2, 1, 3/2. When
0 < k < 1, the wind speed is less than that
of the goose and the goose flies home. When
k = 1 the two speeds are equal, and try as he
might, the goose can't get home. Instead he
approaches a point due north of the nest. When
k > 1 the wind speed is greater, so the goose
loses ground and keeps getting further from the
nest.
y
Solve for v.
(�f-v=�
(�fk - 2v (�f+ v
2
= 1 + v2
o -1 = 2v (�f
�[(�)'-(�r']=v
49. )
ay
-
2.6 Exact Differential Equations 55
(b) The differential equation is homogeneous.
Solving in the usual way we find that the or•
thogonal family is defined implicitly by
y
G(x, y) = x 2 +y2 = C.
The original curves are the solid curves in the
following figure, and the orthogonal family is
dashed.
2
/ '
42. The hyperbolas with F (x, y) = y2
/x = C are the
solid curves in the following figure. The orthogonal
family must satisfy
dy = aF;aF = _ 2x.
dx ay ax y
>, 0
-1
-2
<, /
The: solution to this separable equation is found to be
given implicitly by G(x, y) = 2x2+ y2 = C. These
curves are the dashed ellipses in the accompanying
figure. They do appear to be orthogonal.
44. ln(y2
+ x2
-2 -1 0 2
x
- (2/3)y3
= C
2
>, 0
·-1
·-2
-2 -1 0 2
x
45. arctan(y/x) - y4
/4 = C
46. Assuming that m =j:. n - 1, divide both sides of
X dy + y dx = xmyn dx
by x" v" to obtain
X dy + y dx m=n d
----=X X
(xy")
d((xy)l-n) -
---- =xm "<dx .
l-n
Thus, because m - n + 1 =j:. 0,
(xy)l-n xm-n+l
--= +c1-n m-n+l
43. (a) The curves are defined by the equation
F(x, y) = x/(x2 + y2) = c. Hence the or•
thogonal family must satisfy
dy 8F/8F 2xy
dx = a7 = x2 _ y2 ·
(m - n + l)(xy)1-n - (1 - n)xm-n+l = C.
47. arctan(y/x) - (l/4)(y2
+ x2
)2 = C
48. x/y - ln(xy + 1) = C
50. e = =
•
56 Chapter 2 First-Order Equations
x+y
49. Cxy=-•
x-y
Rearranging,
dy -x ± Jx2 + y2
50. (a) An exterior angle of a triangle equals the sum
of its two remote interior angles, so e = ¢+a.
We're given that a= fJ and e and fJ are corre•
sponding angles on the same side of a transver•
sal cutting parallel lines, so ¢ = fJ. Thus,
becomes
=------
dx y
e = ¢ + a = fJ + fJ = 2{3 and
2 tan fJ
tan tan 2{3 2 .
1 - tan fJ
However, tan e = y/x and tan fJ equals the
slope of the tangent line to y = y(x) at the
point (x, y); i.e., tan fJ = y'. Thus,
y 2y'
x 1 - (y')2•
(b) Use the result from part (a) and cross multiply.
y - y(y')2 = 2xy'
0 = y(y')2
+ 2xy' - y
Use the quadratic formula to solve for y'.
' -x±Jx2+y2
y =
±xdx+ydy =dx.
Jx2 + y2
The trick now is to recognize that the left-hand
side equals ±d(Jx2 + y2
). Thus, when we
integrate,
±d()x2 + y2
) = dx
±Jx2 + y2
= x + C.
Square, then solve for y2.
x2
+ y2 = x2
+ 2Cx + C
2
y2 = 2Cx + C2
This, as was somewhat expected, is the equa•
y tion of a parabola.
Section 2.7. Existence and Uniqueness of Solutions
1. The right hand side of the equation is f(t, y) = theorem are not satisfied.
4 + y2
f is continuous in the whole plane. Its
partial derivative aJ/8y = 2y is also continuous on
the whole plane. Hence the hypotheses are satisfied
and the theorem guarantees a unique solution.
2. The right hand side of the equation is f(t, y) = ,Jy.
f is defined only where y ::::: 0, and it is continu•
ous there. However, aJJay = 1/(2,Jy), which is
only continuous for y > 0. Our initial condition is
at Yo = 0, and to = 4. There is no rectangle con•
taining (to, y0) where both f and aJ/ay are defined
and continuous. Consequently the hypotheses of the
3. The right hand side of the equation is f(t, y) =
t tan:" y, which is continuous in the whole plane.
aJ/ay = t/(1 + y2
) is also continuous in the whole
plane. Hence the hypotheses are satisfied and the
theorem guarantees a unique solution.
4. The right hand side of the equation is f(s, cv) =
co sin co + s, which is continuous in the whole plane.
aJ;acv = sin co + co cos co is also continuous in the
whole plane. Hence the hypotheses are satisfied and
the theorem guarantees a unique solution.
51. ,
1
2.7 Existence and Uniqueness of Solutions 57
5. The right hand side of the equation is f(t, x) =
t/(x + 1), which is continuous in the whole plane,
except where x = -1. aJ;ax = -t/(x + 1)2
is
also continuous in the whole plane, except where
x == -1. Hence the hypotheses are satisfied in a
rectangle containing the initial point (0, 0), so the
theorem guarantees a unique solution.
6. The: right hand side of the equation is f(x, y)
y/x + 2, which is continuous in the whole plane,
except where x = 0. Since the initial point is (0, 1),
the following figure.
2 .
>, 0
f is discontinuous there. Consequently there is no -1
rectangle containing this point in which f is continu•
ous. The hypotheses are not satisfied, so the theorem
.. - .·. .· -
does not guarantee a unique solution. -2"----'------''------''------'
7. The equation is linear. The general solution is
y(t) = t sin t + Ct. Several solutions are plotted
-1 -0.5 0 0.5
in the following figure.
Since the general solution is y(t) = t + 2Ct2
every
solution satisfies y(O) = 0. There is no solution with
y(O) = 2. If we put the equation into normal form
dy 2y - t
dt
we see that the right hand side f(t, y) = (2y - t)/t
fails to be continuous at t = 0. Consequently the hy•
potheses of the existence theorem are not satisfied.
Since every solution satisfies y(O) = 0, there is no
solution with y(O) = -3. If we put the equation into
normal form
y
= -y + t cost'
dt t
we see that the right hand side f(t, y) fails to be
continuous at t = 0. Consequently the hypotheses
of the existence theorem are not satisfied.
8. The equation is linear. The general solution is
y(t) = t + 2Ct2
• Several solutions are plotted in
9. The y-derivative of the right hand side f(t, y) =
3y213 is 2y-113, which is not continuous at y = 0.
Hence the hypotheses of Theorem 7.16 are not sat•
isfied.
10. They-derivative of the right hand side f(t, y) =
ty1
12
is ty-1
12
/2 which is not continuous at y = 0.
Hence the hypotheses of Theorem 7.16 are not sat•
isfied.
11. The exact solution is y(t) = -1 + �. The
interval of solution is (,J3, oo). The solver has trou•
ble near ,./3. The point where the difficulty arises is
52. 58 Chapter 2 First-Order Equations
circled in the following figure. figure.
y
4
2
0
0 �t -2 -1 2
-2 -2
-4 -4
12. Theexactsolutionisy(t) = -l+Jt2 - 4t - 1. The
interval of existence is (-oo, 2 - ,JS). The solver
has trouble near 2 - ,Js � -0.2361. The point
where the difficulty arises is circled in the following
figure.
y
4
14. The exact solution is y(t) 3 -
J4 + 2 ln(t + 2) - 2 ln 2. The interval of existence
is (-2 + 2e-2
, oo). The solver has trouble near
-2 + 2e-2 � -1.7293. The point where the diffi•
culty arises is circled in the following figure.
t
0 1
0
-2
-3 -2 -1 0 2
-4 -1
13. The exact solution is y(t) = -1 +J4 + 2 ln(l - t).
The interval of existence is (-oo, 1 - e-2
). The
solver has trouble near 1 - e-2
� 0.8647. The point
where the difficulty arises is circled in the following
15. The solution is defined implicitly by the equation
y3 /3 + y2
- 3y = 2t3 /3. The solver has trouble near
(t1, 1), where t1 = -(5/2)113 � -1.3572, and also
near (t2, -3), where tz = (27/2)1
13
� 2.3811. The
points where the difficulty arises are circled in the
53. 2.7 Existence and Uniqueness of Solutions 59
following figure. ure.
q
5
y
2 4
3
--+-��-+-==---+�-=--+-�-t-��-.
-a 3 2
0
0 2 3 4
-4
The exact solution is
5 - 5e-t if O < t < 2,
q(t) = { 5(1 - e-�)e2-t, if t � 2
16. The: solution is defined implicitly by the equation Hence q(4) = 5(1 - e-2)e-2 � 0.5851.
2y3
- 15y2 + 2t3
= -81. The solver that trouble
near (t1,0), where t1 = -(81/2)113 � -3.4341, 18. Thecomputedsolutionisshowninthefollowingfig-
and also near (t2, 5), where t: = 221
13
� 2.8020. ure.
The: points where the difficulty arises are circled in
the following figure.
q
3
y 2
6
4
0
2
0 2 3 4
0
-4 0 2
The exact solution is
O, if O < t < 2,
q(t) = { 3(1 - e2-1), if t 2: 2
Hence q(4) = 3(1 - e-2
) � 2.5940.
17. The computed solution is shown in the following fig- 19. The computed solution is shown in the following fig-
55. 2
_G
I , [ ( 5e ) 2t]
y m m .
2t (5 ( 5e
t
{
2.7 Existence and Uniqueness of Solutions 61
the derivative from the right,
y�(l)
= lim y(t) - y(l)
t-+J+ t - 1
2
1 [ ( 5 + ( 5e ) 2r)
If
then
f(t) = { �:
if t < 1
if t > 1,
t < I
= lim -- - 3 - - e-
Hl + t - 1 2 2
+ (3_ s;}-2)J
= lim (3-¥)e-�-(3-¥)c 23. If
t > 1.
Thus,y = y(t)isasolutionofy' = -2y+f(t)
on any interval not containing t = 1.
O, t<Ot-+1+ t - 1
Note the indeterminantform 0/0, so l'Hopital's
rule applies.
y(t) = 4
t '
then it is easily seen that
t >: 0,
2
y = lim -2 3 - - e"
+ t-+I+ 2
= 5 - 6e-2
, {O, t < 0y (t) = 4t3,
t > 0.
It remains to check the existence of y'(O). First, the
However, the derivative from the left,
y�(l) = lim y(t) - y(l)
left-derivative.
, (0) _ 1·
- 1
y(t) - y(O) _ 1·
- 1
0 - 0 _ O
-
t-+J- t - 1
2
= lim 3e- - 2 + 3 - T)
e-
2)
- t-+O- t - 0 t-+O- t
Secondly,
t4
I (0) - 1· y(t) - y(O)
lim - lim t3
= 0.
t-+ I- t - 1
3e-2t - 3e-2
Y+ - 1m
t-+O+ t - 0 t-+O+ t t-+O+
= lim -----
t-+ 1- t - 1
Thus, y' (0) = 0 and we can write
Again, an indeterminant form 0/0, so we apply
l'Hopital's rule.
y�(l) = lim (-6e-2
t)
t-+J-
Now,
y'
(t) = { 0
4,
t3,
t<O
i : 0.
= -6e-2
• ty'(t) = {O, t<O
(b) The derivative from the left doesn't equal the
derivative from the right. The function y =
y(t) is not differentiable at t = 1 and cannot
be a solution of the differential equation on any
and
4t4
,
4y(t) = {O,4
4t ,
t > 0,
t<O
t > 0,
interval containing t = 1.
(c) We have that
I {-6e-
2
, f < 1
y (t) = (-6 + 5e2)e-2r t > 1.
so y = y(t) is a solution of ty' = 4y. Finally,
y(O) = 0. In a similar manner, it is not difficult to
show that
O, t < 0
cv(t) =
{ 5t4
, t >: 0
56. 62 Chapter 2 First-Order Equations
is also a solution of the initial value problem ty' =
4y, y(O) = 0. At first glance, it would appear that we h
have contradicted uniqueness. However, if ty' = 4y
is written in normal form,
I 4yy=•
t
then
! (4y) = �
ay t t
(-1, 0)
is not continuous on any rectangular region contain•
ing the vertical axis (where t = 0), so the hypotheses
of the Uniqueness Theorem are not satisfied. There
is no contradiction of uniqueness.
24. (a) The point here is the fact that you don't know
the moment the water completely drained.
Here are two possibilities.
h
(-2, 0)
(b) Let A represent the cross area of the drum and
h the height of the water in the drum. Then
t:,.h represents the change in height and A t:,.h
the volume of water that has left the drum. A
particle of water leaving the drain at speed v
travels a distance v /;:,.t in a time Sr, Because
a is the cross section of the drain, the volume
of water leaving the drain in time /;:,.t is av !;:,.t.
Because the water leaving the drum in time /;:,.t
must exit the drain,
At:,.h = av S:
!;:,.h
A- =av.
St
Taking the limit as /;:,.t --+ 0,
Ad
dh
t = av.
Using v2
= 2gh, v = .J2gii, and
dh a r::;;::;:
dt = -A" 2gh.
The minus sign is present because the drum is
draining.
(c) If we let co = ah ands= f3t, then by the chain
rule
dco dco dh dt a dh
ds = dh . dt . ds = fi dt ·