Chapter 4: Higher-Order Differential Equations

27
Chapter 4: Higher-Order Differential Equations Math-202 CH#1 Difinitions CH#2 1 st order DE CH#4 Higher order DE

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Chapter 4: Higher-Order Differential Equations. Chapter 4: Higher-Order Differential Equations. 1. Sec 4.1: Linear DE (Basic Theory). Sec 4.1.1: Initial Value Problem (IVP) Boundary Value Problem (BVP). IVP:. . nth order linear DE. Theroem 4.1 ( Existence of a Unique Solution ). - PowerPoint PPT Presentation

Transcript of Chapter 4: Higher-Order Differential Equations

Page 1: Chapter 4:   Higher-Order Differential Equations

Chapter 4: Higher-Order Differential Equations

Math-202

CH#1

Difinitions

CH#2

1st order DE

CH#4

Higher order DE

Page 2: Chapter 4:   Higher-Order Differential Equations

Chapter 4: Higher-Order Differential Equations

xyyexyy x cos7'''5'''3

xyyxyy cos7'''5'''3 2

xyyxyy coscos7'''5'''3

xyyxyy cos7'''5'''3

Page 3: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

Sec 4.1.1: Initial Value Problem (IVP)

Boundary Value Problem (BVP)

)()(')()()( 01)1(

1)( xgyxayxayxayxa n

nn

n

,)( ,)(' ,)( 10)1(

1000 n

n yxyyxyyxy IVP: . nth order linear DE

Theroem 4.1 ( Existence of a Unique Solution)

Ixa

Ixgxaxaxaxa

Ix

n

nn

on 0)( )3

on cont are )( ),( ),(,),( ),( )2

)1

011

0

Sol y(x)

Exist

unique

:Example 0)1('' ,0)1(' ,0)1( ,cos7'''5'''3 yyyxyyexyy x1

Page 4: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

Theroem 4.1 ( Existence of a Unique Solution)

Ixa

Ixgxaxaxaxa

Ix

n

nn

on 0)( )3

on cont are )( ),( ),(,),( ),( )2

)1

011

0

Sol y(x)

Exist

unique

:Example 0)1('' ,0)1(' ,0)1( ,cos7'''5'''3 yyyxyyexyy x1

10 40 124 )y'(,)y(x,yy''2 xeexy xx 33)( 22

10 30 62'22 )y'(,)y(,yxyy''x3 3)( 2 xxxy37)( 2 xxxy

Page 5: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

Theroem 4.1 ( Existence of a Unique Solution)

Ixa

Ixgxaxaxaxa

Ix

n

nn

on 0)( )3

on cont are )( ),( ),(,),( ),( )2

)1

011

0

Sol y(x)

Exist

unique

:Example

10 00 3'')2( )y'(,)y(x,yyx9/p138

Find an interval centered about x=0 for which the given IVP has a unique solution

10 00 10)(tan'4

3'')25( 2

)y'(,)y(,xyxy

xyx2

Page 6: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

50 40 124 )y'(,)y(x,yy''

Problem 1

51 40 124 )y(,)y(x,yy''

Problem 2

2ed order linear DE

What is the difference

IVP BVP

Page 7: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

)()()()(

0

012

,yy(a)

,xgyxay'xay''xa

2ed order linear DE

IVP BVP

)()()()(

0

012

,yy(a)

,xgyxay'xay''xa

1' y(a)y 1yy(b)

Page 8: Chapter 4:   Higher-Order Differential Equations

Sec 4.1: Linear DE (Basic Theory)

10

012

)()()()(

yy'(a),yy(a)

,xgyxay'xay''xa

2ed order linear DE

IVP BVP10

012

)()()()(

yy(b),yy(a)

,xgyxay'xay''xa

Exist and unique

When??

Page 9: Chapter 4:   Higher-Order Differential Equations

BVP can have many, one, or No sol

0)8

(

0)0(

016''

y

y

yy

:Example

1)2

(

0)0(

016''

y

y

yy

0)2

(

0)0(

016''

y

y

yy

BVP3BVP2BVP1

xcxcxy 4sin4cos)( 21 2-parameter family of solutions Given that

0)(

0

0

2

1

xy

c

c

solutionno

c

01

01

xcxy

c

4sin)(

01

uniqueNo sol Infinity number of sol

Page 10: Chapter 4:   Higher-Order Differential Equations

Sec 4.1.2: Homogeneous Equations

0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

)()(')()()( 01)1(

1)( xgyxayxayxayxa n

nn

n

diff

homogeneous nonhomogeneous

:Example

(*) 0cos7'''5'''3 xyyexyy x1

2 (**) 07'''5'''3 yyexyy x

(**) is the associated homogeneous DE of (*)

Remark: before we solve (*), we have to solve first (**)

Page 11: Chapter 4:   Higher-Order Differential Equations

Differential Operator

dx

dD

)( )1 2xD

:Example

)sin( )2 3 xxD

)( )3 22 xD

)3)(252( )4 2423 xxDDD

Differential Operators

operator polynomial

operator aldifferentiorder th -n

)()()()( 011

1 xaDxaDxaDxaL nn

nn

)3)(25( )5 24 xxxD

Page 12: Chapter 4:   Higher-Order Differential Equations

Properties: Differential Operator

aL[f(x)]L[af(x)] )1

L[g(x)]L[f(x)]g(x)]L[f(x) )2

)()()()( 011

1 xaDxaDxaDxaL nn

nn

bL[g(x)]aL[f(x)]bg(x)] L[af(x) )3

Linear Operator

Page 13: Chapter 4:   Higher-Order Differential Equations

Quiz on Monday

2.1

3.1

4.1.1

Page 14: Chapter 4:   Higher-Order Differential Equations

DE Differential Operator Form

:Example

356'5'' xyyy

xyyxxy sin6'5''' 2

gyL )(

gyL )(

:Example

33 xDDL xxg sinwhere

Write as DE

Page 15: Chapter 4:   Higher-Order Differential Equations

Homog DE

Theroem 4.2 ( Superposition Principle)

(*) of solutions twobe and Let 21 yy operatorlinear a is where L(*) 0L(y)sol also is c 1y

sol also is y21 y

:Example0423 yxy'y'''-x

21 xy

xxy ln22

are solutions1)Constant multiple is sol

2)Sum of two sol is also sol

3) Trivial sol is also a sol ??

Page 16: Chapter 4:   Higher-Order Differential Equations

Homog DE

Theroem 4.2 ( Superposition Principle)

(*) of solutions twobe ,,y,y,Let 321 kyy operatorlinear a is where L(*) 0L(y)

sol also is 2211 kk ycycyc

In general

Page 17: Chapter 4:   Higher-Order Differential Equations

Linear Dependence & Linear Independence

Definition 4.1

I(x), f(x),(x),ff n on dependent linearly functions 21 IF

such that zeros allnot , constantsexit there 21 nc,,cc

02211 (x) fc(x)fc(x)fc nn

(x) fc(x)fc(x)fc nn 2211Note: Linear Combination

:Example

32 21 x(x)f

122 x(x)f

32 (x)f 1

,6

,3

3

2

1

c

c

cIs this set linearly dependent ??

IF not then we say linearly independent

for every x in I

Page 18: Chapter 4:   Higher-Order Differential Equations

Linear Dependence & Linear Independence

Definition 4.1

I(x), f(x),(x),ff n on dependent linearly functions 21 IF

such that zeros allnot , constantsexit there 21 nc,,cc

02211 (x) fc(x)fc(x)fc nn

:Example

x(x)f 21 cos

x(x)f 22 sin

12 (x)f 1

,1

,1

3

2

1

c

c

cIs this set linearly dependent ??

IF not then we say linearly independent

for every x in I

Page 19: Chapter 4:   Higher-Order Differential Equations

Linear Dependence & Linear Independence

Definition 4.1

I(x), f(x),(x),ff n on dependent linearly functions 21 IF

such that zeros allnot , constantsexit there 21 nc,,cc

02211 (x) fc(x)fc(x)fc nnIF not then we say linearly independent

Special case dep. lin. are and 21 (x)f(x)fIf a set of two functions is lin. Dep, then one function is simply a constant multiple of the other.

:Examplex(x)f 2sin1

xx(x)f cossin2

Is this set linearly dependent ??

for every x in I

Page 20: Chapter 4:   Higher-Order Differential Equations

Linear Dependence & Linear Independence

Definition 4.1

I(x), f(x),(x),ff n on dependent linearly functions 21 IF

such that zeros allnot , constantsexit there 21 nc,,cc

02211 (x) fc(x)fc(x)fc nnIF not then we say linearly independent

:Examplex(x)f 1

x(x)f 2

Is this set linearly dependent ??

for every x in I

Page 21: Chapter 4:   Higher-Order Differential Equations

Linear Dependence & Linear Independence

Definition 4.1

I(x), f(x),(x),ff n on dependent linearly functions 21 IF

such that zeros allnot , constantsexit there 21 nc,,cc

02211 (x) fc(x)fc(x)fc nnIF not then we say linearly independent

Remark

A set of functions is linearly dependent if at least one function can be expressed as a linear combination of the remaining

:Example2

1 x(x)f x(x)f 2

Is this set linearly dependent ??

for every x in I

13 (x)f

532 24 xx(x)f

Page 22: Chapter 4:   Higher-Order Differential Equations

Homogeneous Equations

0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

homogeneous

We are interested to find n linearly independent solutions

of the homog DE

)(,),(),(),( 321 xyxyxyxy n

Page 23: Chapter 4:   Higher-Order Differential Equations

Wronskian

Definition 4.2tdeterminan The s.derivative 1-n as Suppose 21 h(x), f(x),(x),ff n

called the Wronskian of the functions

)1()1(2

)1(1

21

21

21

'''),,,(

nn

nn

n

n

n

fff

fff

fff

fffW

:Example2

1 x(x)f x(x)f 2

Compute the Wroskian of these functions

23 x(x)f x(x)f 2

Compute the Wroskian of these functions

11 (x)f

Page 24: Chapter 4:   Higher-Order Differential Equations

Criterion for Linearly Independent Solutions

Theroem 4.3

:Examplexe(x)y 3

1 xe(x)y 32

These functions are solutions for the DE

0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

THEN I,on DE homog for the solutions-n ,,, 21 nyyy

nyyy ,,, 21 Linearly Independent IxyyyW n in every for 0),,,( 21

09'' yy

lin. Indep ?

Page 25: Chapter 4:   Higher-Order Differential Equations

Fundamental set of solutions

:Example xe(x)y 31 xe(x)y 3

2

These functions are solutions for the DE 0'9''' yy

Fund. Set of sol. ?

Def 4.3 0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

n are they ,,, )1 21 nyyy solutions ,,, )2 21 nyyy

indep. lin. ,,, )3 21 nyyy nyyy ,,, 21

Fundamental set of solutions

21, yy

xe(x)y 31 xe(x)y 3

2

These functions are solutions for the DE 0'9''' yy

Fund. Set of sol. ? 321 ,, yyy

13 (x)y

Page 26: Chapter 4:   Higher-Order Differential Equations

General Solution for Homog. DE

Theorem 4.5

THEN DE, theof solutions ofset fund. be Let 21 (x), y(x),(x),yy n

(x) yc(x)yc(x)ycy nn 2211

Is the general solution for the DE.

0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

constants are where 21 n,c, ,cc

:Examplexe(x)y 3

1 xe(x)y 32

These functions are solutions for the DE 0'9''' yy

Find the general sol? 321 ,, yyy

13 (x)y

Given is a sol for 0'9''' yygeneral sol means what??

x(x)y 3sinh44

0)( yL

Page 27: Chapter 4:   Higher-Order Differential Equations

How to solve Homog. DE

Step 1

Step 2

Given a homg DE:

Find n-lin. Indep solutions

The general solution for the DE is

0)(')()()( 01)1(

1)(

yxayxayxayxa nn

nn

(x), y(x),(x),yy n21

(x) yc(x)yc(x)ycy nn 2211What is missing

0)( yL