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Finding Linearly Independent Solutions of 2nd Order Homogeneous Differential Equations, Lecture notes of Differential Equations

The technique of reduction of order for finding linearly independent solutions of second order linear homogeneous differential equations. It provides the general solution of a differential equation in terms of two linearly independent solutions and demonstrates the method with two examples.

Typology: Lecture notes

2021/2022

Uploaded on 09/27/2022

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LECTURE 15
Reduction of Order
Recall that the general solution of a second order homogeneous linear differential equation
L
[
y
]=
y

+
p
(
x
)
y
+
q
(
x
)
y
=0(15.1)
is given by
y
(
x
)=
c
1
y
1
(
x
)+
c
2
y
2
(
x
)(15.2)
where
y
1
and
y
2
are any two solutions such that
W
[
y
1
,y
2
](
x
)=
y
1
(
x
)
y
2
(
x
)
y
1
(
x
)
y
2
(
x
)
=0
.
(15.3)
In this section we shall assume that we have already found one solution
y
1
of (15.1) and that we are seeking
to find another solution
y
2
so that we can write down the general solution as in (15.2).
So suppose we have one non-trivial solution
y
1
(
x
) of (15.1) and suppose there is another solution of the
form
y
2
(
x
)=
v
(
x
)
y
1
(
x
)
.
(15.4)
Then
W
[
y
1
,y
2
]=
y
1
y
2
y
1
y
2
=
y
1
(
v
y
1
+
vy
1
)
y
1
(
vy
1
)
=(
y
1
)
2
v
=0
(15.5)
unless
v
= 0. Thus, any solution we construct by multiplying our given solution
y
1
(
x
) by a non-constant
function
v
(
x
) will give us another linearly independent solution.
The question we now wish to address is: how does one find an appropriate function
v
(
x
)?
Certainly, we want to choose
v
(
x
) so that
y
2
(
x
)=
v
(
x
)
y
1
(
x
) satisfies (15.1). So let us insert
y
(
x
)=
v
(
x
)
y
1
(
x
)
into (15.1):
0=
d
2
dx
2
(
vy
1
)+
p
(
x
)
d
dx
(
vy
1
)+
q
(
vy
1
)
=
v

y
1
+2
v
y
1
+
vy

1
+
p
(
x
)
v
y
1
+
p
(
x
)
vy
1
+
qvy
1
=
v
(
y

1
+
p
(
x
)
y
1
+
q
(
x
)
y
1
)+
v

y
1
+(2
y
1
+
p
(
x
)
y
1
)
v
(15.6)
The first term vanishes since
y
1
is a solution of (15.1), so
v
(
x
) must satisfy
0=
y
1
v

+(2
y
1
+
p
(
x
)
y
1
)
v
(15.7)
or
v

+
p
(
x
)+2
y
1
y
1
v
=0
.
(15.8)
Now set
u
(
x
)=
v
(
x
)
.
(15.9)
1
pf3

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LECTURE 15

Reduction of Order

Recall that the general solution of a second order homogeneous linear differential equation

(15.1) L[y] = y′′ + p(x)y′ + q(x)y = 0

is given by

(15.2) y(x) = c 1 y 1 (x) + c 2 y 2 (x)

where y 1 and y 2 are any two solutions such that

(15.3) W y 1 , y 2 = y 1 (x)y′ 2 (x) − y′ 1 (x)y 2 (x) = 0.

In this section we shall assume that we have already found one solution y 1 of (15.1)and that we are seeking to find another solution y 2 so that we can write down the general solution as in (15.2).

So suppose we have one non-trivial solution y 1 (x)of (15.1)and suppose there is another solution of the form

(15.4) y 2 (x) = v(x)y 1 (x).

Then

W [y 1 , y 2 ] = y 1 y 2 ′ − y′ 1 y 2

= y 1 (v′ y 1 + vy′ 1 ) − y 1 ′ (vy 1 )

= (y 1 )^2 v′

unless v′ = 0. Thus, any solution we construct by multiplying our given solution y 1 (x)by a non-constant function v(x)will give us another linearly independent solution.

The question we now wish to address is: how does one find an appropriate function v(x)?

Certainly, we want to choose v(x)so that y 2 (x) = v(x)y 1 (x)satisfies (15.1). So let us insert y(x) = v(x)y 1 (x) into (15.1):

0 = d

2

dx^2 (vy^1 ) +^ p(x)^

d

dx (vy^1 ) +^ q^ (vy^1 )

= v′′ y 1 + 2v′ y′ 1 + vy′′ 1 + p(x)v′ y 1 + p(x)vy′ 1 + qvy 1

= v (y′′ 1 + p(x)y′ 1 + q(x)y 1 ) + v′′ y 1 + (2y′ 1 + p(x)y 1 ) v′

The first term vanishes since y 1 is a solution of (15.1), so v(x)must satisfy

(15.7) 0 = y 1 v′′ + (2y′ 1 + p(x)y 1 ) v′

or

v′′ +

p(x) +

2 y′ 1

y 1

(15.8) v′ = 0.

Now set

(15.9) u(x) = v′ (x).

1

  1. REDUCTION OF ORDER 2

Then we have

u′ +

p(x) +

2 y′ 1 (x)

y 1 (x)

(15.10) u = 0.

This is a first order linear differential equation which we know how to solve. Its general solution is

u(x) = C exp

[

∫ x^ (

p(t) + 2 y

′ 1 (t) y 1 (t)

dt

]

= C exp

[

∫ x

(p(t)) dt − 2

∫ x y′ 1 (t)

y 1 (t) dt

(15.11)^ ]

Now note that

d

dt

ln [y 1 (t) ] =

y′ 1 (t)

y 1 (t)

so

exp

[

∫ x y′ 1 (t)

y 1 (t) dy

]

= exp

[

∫ x d

dt (ln [y^1 (t)])^ dt

]

= exp [−2 ln [y 1 (x)]] = exp

[

ln

[

(y 1 (x))−^2

]]

= (^) (y^1 1 (x))^2

Thus, (15.11)can be written as

u(x) =

C

(y 1 (x))^2

exp

[

∫ x

p(t)dt

]

Now recall from (15.9)that u(x)is the derivative of the factor v(x)which we originally sought out to find.

So

v(x) =

∫ x

u(t) dt + D

∫ x^ [^ C

(y 1 (t))^2 exp

[

∫ t

p(t′ )dt′

]]

+ D

It is not too difficult to convince oneself that it is not really necessary to carry along the constants of

integration C and D. For the constant D can be absorbed into the constant c 1 of the general solution

y(x) = c 1 y 1 (x) + c 2 y 2 (x), while the factor C can be absorbed into the constant c 2. Thus, without loss of

generality, we can take C = 1 and D = 0. So given one solution y 1 (x)of (15.1), a second solution y 2 (x)of

(15.1)can be formed by computing

v(x) =

∫ x

(15.16) u(t) dt

where

u(x) =

(y 1 (x))^2

exp

[

∫ x

p(t)dt

]

and then setting

(15.18) y 2 (x) = v(x)y 1 (x).

The general solution of (15.1)is then

(15.19) y(x) = c 1 y 1 (x) + c 2 v(x)y 1 (x).

This technique for constructing the general solution from single solution of a second order linear homogene- neous differential equation is called reduction of order.

For those of you who like nice tidy formulae we can write

y 2 (x) = y 1 (x)

∫ x

(y 1 (s))^2

exp

[

∫ s

p(t)dt

]

(15.20) ds

for the second solution.