Problem Set 8, Exponential Growth and Decay-Differential Equations-Assignment Solution, Exercises of Differential Equations

Differentiation Equations course is one of basic course of science study. Its part of Mathematics, Computer Science, Physics, Engineering. This is assignment solution to help students for exercising problem. It includes: Problem, Set, Exponential, Growth, Decay, Circular, Frequency, Constant, Amplitude, Oscillate, Homogeneous, Curve, Imaginary, Axis, Asymptotic

Typology: Exercises

2011/2012

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18.03 Problem Set 8: Part II Solutions
Part I points: 29. 4, 30. 0, 32. 8, 33. 4.
Part II solutions:
29. (a) [8] (1) {1, i, i}: For large t, these functions have exponential growth rate
et
. (This means that for any a < 1 < c, eat < |f(t)| < ect for large t.) They also
show a small oscillation of approximately constant amplitude and circular frequency 1.
a b
Examples: f(t) = aet + b sin(t) (a, b = 0) with F (s) = + .s 1 s2 + 1
(2) {−1 + 4i, 1 4i}: For large t, these functions show exponential decay like et
,
and oscillate with circular frequency 4. Examples: f(t) = aet sin(4t) (a = 0) with
4a
F (s) = .
(s + 1)2 + 16
(3) {−1}: For large t, these functions decay like et and do not oscillate. Examples:
a
f(t) = aet (a = 0) with F (s) = s + 1 .
(4) No poles: For large t, these functions decay to zero faster than any exponential.
Examples: f(t) = (t b) (a = 0
, b
bs 0) with F (s) = aebt, or f(t) = a(u(t) u(t b))
(a = 0, b > 0) with F (s) = a 1
s
e.
(b) (i) [4] Method I: For t > 0, w(t) is a solution to the homogeneous equation. The roots
must be 2
1 ± 2
3 i, so p(s) = m
s (2
1 + 2
3 i)
s (2
1 2
3 i)
= m(s2 +s+ 2
5 ). To find m,
remember that w˙ (0+) = 1 (for a second order system). w˙ (t) = u(t)et/2(3 cos(3t/2)
m 2
(1
2 sin(3t/2)), so w˙ (0+) = 3
2 , m = 2
3 , and p(s) = 3
2 (s2 + s + 5
2 ).
3/2 1
Method II: W (s) = L[w(t)] = (s + (1/2))2 + (9/4) = (2/3)(s2 + s + (5/2)),
so p(s) = 2
3 (s2 + s + 5
2 ).
(ii) [4] {−1
2 ± 3 i}.
2
3/2
(iii) [4] This is a throwback problem. The complex gain is W (i�) = , so
((5/2) 2) + i�
3/2
the gain is W (i�) = . This is maximized when the denominator, | | ((5/2) 2)2 + 2
or its square (5
2 2)2 + 2, is minimized. The derivative with respect to is
2(5
2 2)(2) + 2, which has roots at = 0 and = ±2. So r = 2 is the worst
frequency.
(iv) [6] The yellow box lies in the plane above the imaginary axis. The base is the
amplitude response curve. The green box lies in the plane above the real axis. Its top
lies on the graph of W (s) , and its base is the real axis. The red arrows lie above the | |
poles of W (s). The yellow diamonds are located at (±i�, |W (i�)|), and represent the
chosen value of the input circular frequency and the corresponding gain.
32. (a) [8] p(s) = s2 +4s+3 = (s+2)2 1 has roots r1 = 1 and r2 = 3. Basic solutions
are given by x1 = et and x2 = e3t
. (The order is not determined, and in fact any other
pair of linearly independent solutions count as “basic.”) x˙1 = et , x˙2 = 3e3t .
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18.03 Problem Set 8: Part II Solutions

Part I points: 29. 4, 30. 0, 32. 8, 33. 4.

Part II solutions:

  1. (a) [8] (1) { 1 , i, −i}: For large t, these functions have exponential growth rate

et^. (This means that for any a < 1 < c, eat^ < |f (t)| < ect^ for large t.) They also

show a small oscillation of approximately constant amplitude and circular frequency 1. a b Examples: f (t) = aet^ + b sin(t) (a, b =≥ 0) with F (s) = +. s − 1 s^2 + 1

(2) {−1 + 4i, − 1 − 4 i}: For large t, these functions show exponential decay like e −t ,

and oscillate with circular frequency 4. Examples: f (t) = ae−t^ sin(4t) (a =≥ 0) with

4 a F (s) =. (s + 1)^2 + 16

(3) {− 1 }: For large t, these functions decay like e−t^ and do not oscillate. Examples: a f (t) = ae −t (a =≥ 0) with F (s) = s + 1

(4) No poles: For large t, these functions decay to zero faster than any exponential.

Examples: f (t) = aω(t − b) (a = 0≥ −

, b bs

� 0) with F (s) = ae−bt, or f (t) = a(u(t) − u(t − b))

(a = 0≥ , b > 0) with F (s) = a

s

e .

(b) (i) [4] Method I: For t > 0, w(t) is a solution to the homogeneous equation. The roots

must be − (^2) 1 ± (^2) 3 i, so p(s) = m

s − (− (^2) 1

  • (^2) 3 i)

s − (− (^2) 1 − (^2) 3 i)

= m(s 2 +s+ (^2) 5 ). To find m,

remember that w˙ (0+) = 1 (for a second order system). w˙ (t) = u(t)e−t/^2 ( 3 m 2 cos(3t/2)^ − (− 1 2 sin(3t/2)),^ so^ w˙ (0+)^ =^

3 2 ,^ m^ =^

2 3 ,^ and^ p(s) =^3

2 (s 2

  • s + 5 2 ). 3 / 2 1 Method II: W (s) = L[w(t)] = (s + (1/2))^2 + (9/4)

(2/3)(s^2 + s + (5/2))

so p(s) = 2 3 (s

2

  • s + 5 2 ).

(ii) [4] {− 12 ± 32 i}.

3 / 2 (iii) [4] This is a throwback problem. The complex gain is W (i�) = , so ((5/2) − �^2 ) + i� 3 / 2 the gain is |W (i�) =| �^. This is maximized when the denominator, ((5/2) − �^2 )^2 + �^2

or its square ( 5 2 −^ �

(^2) ) (^2) + � (^2) , is minimized. The derivative with respect to � is

2( 5 2 −^ �

(^2) )(− 2 �) + 2�, which has roots at � = 0 and � = ±

  1. So �r =

2 is the worst

frequency.

(iv) [6] The yellow box lies in the plane above the imaginary axis. The base is the

amplitude response curve. The green box lies in the plane above the real axis. Its top

lies on the graph of |W (s) ,| and its base is the real axis. The red arrows lie above the

poles of W (s). The yellow diamonds are located at (±i�, |W (i�)|), and represent the

chosen value of the input circular frequency and the corresponding gain.

  1. (a) [8] p(s) = s^2 +4s+3 = (s+2)^2 − 1 has roots r 1 = − 1 and r 2 = −3. Basic solutions

are given by x 1 = e−t^ and x 2 = e−^3 t^. (The order is not determined, and in fact any other

pair of linearly independent solutions count as “basic.”) x˙ 1 = −e−t^ , x˙ 2 = − 3 e−^3 t^.

p(s) = s^2 + s + 5 = (s + 1 )^2 + 9 has roots r = − 1 3 2 2 4 2 ±^2 i.^ Basic^ solutions^ are^ given^ by^ x^1 = e−t/^2 cos( 3 −t/^2 (−^1 2 t)^ and^ x^2 =^ e

−t/ (^2) sin( 3 2 t).^ (Same^ caveats^ as^ above.)^ x˙^1 =^ e^2 cos(^

3 2 t)^ − 3 sin( 3 t)). x˙ 2 = e −t/ 2 (− 1 sin( 3 t) + 3 cos( 3 2 2 2 2 2 2 t)).

0 1 0 1 (b) [4] , 5. − 3 − 4 − 2

The ray containing corresponds to − �

(c) [4] (^1) x 1 ; the ray containing corresponds − 3 to x 2.

1 x (d) [4] The solution passing through at t = 0 is where x is the solution to 0 x˙

x¨ + 4 ˙x + 3x = 0 with x(0) = 1, x˙ (0) = 0. The general solution x(t) = c 1 e −t

  • c 2 e − 3 t

has x(0) = c 1 + c 2 and x˙ (0) = −c 1 − 3 c 2 , so c 1 + c 2 = 1 and −c 1 − 3 c 2 = 0. Thus

c 2 = − 2

(^1) and c 1 =^2

(^3) and x(t) = 1 2 (3e−t^ − e−^3 t), so u(t) = x

x ˙

t t

2

1 −

e e

− −

t t

e− e

3 −

t 3 t.

Description of the graph of x(t): For t << 0 it is very negative and increasing. x(t) = 0

for t = − ln 2 3. It reaches a maximum x(0) = 1, and then falls back through an inflection

point to become asymptotic to x = 0 as t � �.

3 e−(t−a)^ −3(t−a) (e) [4] u(t) = 1 (^2) − 3 e−(t−a)

e e−3(t−a)^

(f) [8]

The trajectory of interest is the spiral pass ing through (0, 1).

x(t) 0 The solution u(t) = passing through at t = 0 is given by the solution x(t) x˙ (t) 1

of x¨ + x˙ + 52 x = 0 with x(0) = 0, x˙(0) = 1. The general solution x(t) = e−t/^2 (c 1 cos( 32 t) +

c 2 sin( 3 2 t))^ has^ x(0)^ =^ c^1 and^ x˙ (0)^ =^

1 2 c^1 +^

3 2 c^2 ,^ so^ c^1 =^0 and� c^2 =^

2 − 3. Thus x(t) (^) �= 2 2 1 −t/ 2 3 sin(

3 2 t) 3 e−t/^2 sin( 2

(^3) t), x˙(t) = e−t/ (^2) (cos( 2

(^3) t) − 3 sin( 2

(^3) t)), and u(t) = e cos( 3 t) − 1 sin( 3 t)

2 3 2 This passes through the y axis when x(t) = 0, i.e. when sin( 3 2 t)^ =^ 0,^ which^ is^ when^ t^ is an integral multiple of 2 �/3.