Linear Algebra and Differential Equations: Exercises and Solutions, Study notes of Applied Mathematics

A collection of exercises and solutions related to linear algebra and differential equations. It covers topics such as wronskians, linear independence, homogeneous linear odes, nonhomogeneous equations with constant coefficients, vector fields, line integrals, green's theorem, stokes' theorem, and complex analysis. The exercises are designed to help students understand and apply key concepts in these areas, making it a valuable resource for students studying mathematics, physics, or engineering. Detailed solutions and explanations, enhancing its educational value.

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Part I
Ordinary Differential Equations
c
November 12, 2011 Semu & Tilahun Draft
Chapter 1
Ordinary Differential Equations of the
First Order
Part 1 of this material deals with equations that contain one or more derivatives of a function of
a single variable and such equations are called ordinary differential equations, which can be used
to model a phenomena of interest in the sciences, engineering, economics, ecological studies, and
other areas.
In the first section we will see the basic concepts and ideas and in the remaining sections we will
consider equations which involve the first derivative of a given independent variable with respect
to an independent variable, which are called Ordinary Differential Equations of the First Order.
1.1 Basic Concepts and Ideas
The derivative 𝑑𝑦/𝑑𝑥 of a function 𝑦=𝑓(𝑥)is itself another function 𝑓(𝑥)found by an appro-
priate rule of differentiation. For example, the function 𝑦=𝑒𝑥2is differentiable on the interval
(−∞,)and by the Chain Rule its derivative is 𝑑𝑦/𝑑𝑥 = 2𝑥𝑒𝑥2. If we replace the right-hand
expression of the last equation by the symbol y, the equation becomes
𝑑𝑦
𝑑𝑥 = 2𝑥𝑦. (1.1)
In differentiation, the problem was ”Given a function 𝑦=𝑓(𝑥), find its derivative.”
c
November 12, 2011 Semu & Tilahun Draft
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Part I

Ordinary Differential Equations

Chapter 1Ordinary Differential Equations of theFirst Order Part 1 of this material deals with equations that contain one or more derivatives of a function ofa single variable and such equations are called ordinary differential equations, which can be usedto model a phenomena of interest in the sciences, engineering, economics, ecological studies, andother areas.In the first section we will see the basic concepts and ideas and in the remaining sections we willconsider equations which involve the first derivative of a given independent variable with respectto an independent variable, which are called Ordinary Differential Equations of the First Order. 1.

Basic Concepts and Ideas

The derivative

of a function

is itself another function

′^ (

)^

found by an appro-

priate rule of differentiation. For example, the function

(^2) 𝑥

is differentiable on the interval

,^

)^

and by the Chain Rule its derivative is

𝑥

2

. If we replace the right-hand

expression of the last equation by the symbol y, the equation becomes

In differentiation, the problem was ”Given a function

, find its derivative.”

1.1 Basic Concepts and Ideas

Now, the problem we face here is ”If we are given an equation such as (1.1), is there some wayor method by which we can find the unknown function

that satisfy the given equation,

without prior knowledge how it was constructed?” These kind of problems are the ones we aregoing to focus on in this part of the course. Definition 1.1.1.

An equation involving derivatives of one or more dependent variables with

respect to one or more independent variables is called a

Differential Equation

DE

Example 1.1.1.

3

2

= sin

.^

are all

Differential Equations

Differential equations can be classified by their

type, order,

and in term of

linearity.

We will

see these classifications before going to the solution concept. Classification by Type

If an equation contains only ordinary derivatives of one or more dependent variables withrespect to a single independent variable, then it is said to be an

ordinary differential

equation (ODE)

For example,

2

2

and

3

3

2

= sin

are all ordinary differential equations. ∙

If a function is defined in terms of two or more independent variables, the correspondingderivative will be a partial derivative with respect to each independent variable. An equationinvolving partial derivatives of one or more dependent variables of two or more independentvariables is called a

partial differential equation (PDE)

For example,

(^2)

2

2

2

and

are both partial differential equations.

In this part we will only consider the case of ordinary differential equations.

1.1 Basic Concepts and Ideas

Classification by Order The

order

of a differential equation (either ODE or PDE) is the order of the highest derivative

that appear in the equation. For example,

2

2

𝑥

are first and second-order ordinary differential equations respectively.The general

th

order ordinary differential equation in one dependent variable is given by the

general form

′^ , 𝑦

′′^

(𝑛

)^ ) = 0

,^

where F is a real-valued function of

variables

′^ , 𝑦

′′^

(𝑛

)^.

Remark 1.1.2.

For both practical and theoretical reasons we shall also make the assumption

hereafter that it is possible to explicitly solve the differential equation of the form (1.3) uniquelyfor the highest derivative

(𝑛

)^

in terms of the remaining

variables

′^ , 𝑦

′′

(𝑛

Then the differential equation (1.3) becomes

𝑛

𝑛

′^ , ..., 𝑦

(𝑛

,^

where

is a real-valued continuous function and this is referred to as the

normal form

of (1.3).

Example 1.1.2.

The normal form of the first-order equation

′^

is

′^

and the normal form of the second-order equation

′′

is

′′

′^

The first order ordinary differential equation is generally expressed as:

′^ ) = 0 or

′^

For example, the differential equation

′^

is equivalent to

′^

. If

′^ ) =

′^

then the given differential equation becomes of the form

′^ ) = 0

1.2 Separable Differential Equations

Many first-order

ODEs

can be reduced or transformed to the form

′^

where

and

are continuous functions. Then, from elementary calculus we have:

Such type of equations are called

separable equations

. Integrating both sides we get:

is the general solution of the given equation. Example 1.2.2.

Solve the DE

′^

Solution: The equation

′^

is equivalent to

and then

Integrating both sides,

gives

2

2

which is an implicit solution of the given first order differential equation. Example 1.2.3.

Solve the DE

′^

2

𝑥^

First rewrite the equation as

2

2 𝑥

If

,^

this has the differential form

12 𝑦^

d

2 𝑥

d

where the variables have been separated. Integrating both sides we have

12 𝑦^

2

𝑥^

1.2 Separable Differential Equations

which implies

where

is a constant of integration. Then solve for

to get

2 𝑥

which is an explicit solution of the given first order differential equation. Remark 1.2.1.

It is recommended to write an explicit solution to the differential equation when

ever possible.

However, sometimes solving for the dependent variable (in our case

) may not

be possible.

In those cases one can represent the final solution by an implicit solution of the

differential equation. 1.2.

Equation Reducible to Separable Form

There are some differential equations which are not separable, but they can be transformed toa separable form by simple change of variables. We will see some of the possible substitutionshereunder. A. Linear Substitution Suppose we have a differential equation that can be written in the form:

′^

Such an equation is not in general separable. However, if we set

we get

Or

Thus (1.7) will be transformed into

where

and

can be separated.

Example 1.2.4.

Solve the differential equation

′^

1.2 Separable Differential Equations

Solution: Let

. Then

′^

′^

which implies

′^

′^

.^

With this substitution the equation

′^

2

is equivalent to

′^

2

2

Then

2

and integrate both sides,

2

to get

arctan

for an arbitrary constant

.^

Substituting back

in the last

equation gives us the general solution of the given DE to be

arctan(

Example 1.2.5.

Solve the differential equation

′^

Solution Let

.^

Then,

′^

′^

which implies

′^

12

′^ )

.^

Therefore, the equation

′^

becomes

1 2

′^ ) +

.^

Simplifying this we

get

′^

which implies

′^

Then

Now we integrate both sides

and we get

ln

∣^

1

But

. Then substituting this in the above equation gives us

ln

∣^

1

for an arbitrary constant

1

, or equivalently

  • ln

∣^

where

𝑐^1

1.2 Separable Differential Equations

B. Quotient Substitution Suppose we have an equation that can be written in the form

′^

Let us substitute

Then

′^

2

′^

𝑦^2 𝑥^

This implies,

′^

′^

′^

Thus, the differential equation

′^

(^

is reduced to the equation

′^

)^

which is equivalent to the differential equation 𝑑𝑥𝑥

)^

Then by integrating we obtain a general solution. Example 1.2.6.

Solve

′^

2

2

Solution For

, the differential equation

′^

2

2

is equivalent to

′^

2

Let

𝑦𝑥^

. Then

2

and we get,

′^

which implies

2

We then integrate

2

and get

arctan

= ln

∣^

Now substituting

𝑦𝑥^

gives us

arctan(

) = ln

∣^

= ln

∣^

  • ln

= ln

for some

1.3 Exact Differential Equations

Theorem 1.2.

(Existence and uniqueness of a solution)

.^

If

)^

is continuous function on

some rectangular region

in the

plane containing the point

)^

in its interior , then the

problem

′^

with

has at least one solution defined on some open interval of

containing

If, in addition, the function

is continuous on

R

, then the solution to the above equation (1.8) is unique on some open interval

containing

Remark 1.2.6.

The above condition for uniqueness can be eased by using a condition

piecewise

continuous

instead of the condition that “

∂𝑓 ∂𝑦

is continuous”.

Exact Differential Equations

Consider the differential equation:

′^

sin

cos

or equivalently

sin

cos

Notice that the left hand side is the

(total) differential

of the function

sin

2

Recall that the total differential of a function

)^

of two variables is

for all (x,y) in the domain of

Thus for

sin

(^2)

) = sin

cos

.^

This implies that

that is,

sin

(^2)

is the solution of the above DE.

Definition 1.3.1.

The expression

1.3 Exact Differential Equations

is called an

exact differential equation

in some domain

(an open connected set of points)

if there is a function

)^

such that^ ∂𝐹

)^

and

for all

If we can find a function

such that ∂𝐹∂𝑥

) and

then the differential equation

is just

.^

But recall that, if

,^

then

) = constant

.^

The equation

where

is an arbitrary constant, implicitly defines the general solution of the deferential equation

Now let us ask the following two fundamental questions. Given a Differential Equation

How can we determine the existence of such a function

)^

If it exists, how can we find it?

The following theorem will answer the first question. Theorem 1.3.

(Test for Exactness)

.^

Let

,^

∂𝑀∂𝑦

and

∂𝑁∂𝑥

be all continuous func-

tions within a rectangle

(or some domain) in the

-plane. Then

is an exact differential in

if and only if

every where in

Example 1.3.1.

Consider the equation

3

2

(^2)

4

𝑦^

1.3 Exact Differential Equations

Then write

3

2

4 𝑦

Let

3

and

3

2

4 𝑦

.^

Then

Therefore, the given differential equation is exact. Example 1.3.2.

Consider the equation

ln

𝑥𝑦

ln

Let

ln

𝑥𝑦

and

1 𝑦^

ln

Then

∂𝑀∂𝑦

= ln

𝑥𝑦

and

∂𝑁∂𝑥

= ln

which

implies

∂𝑀∂𝑦

∂𝑁∂𝑥

Therefore, the given differential equation is not exact.

After knowing the exactness of a differential equation, the next question is ”How can we solvethe given equation?” The method for this is described here below.Suppose a differential equation

is exact. Then, there exists a function

)^

such that

and

From

∂𝐹 ∂𝑥

, we have (by integrating with respect to

,^

where

)^

is only a function of

but constant with respect to

Now to determine

(the constant of integration), differentiate equation (1.9) with respect

to

to get

′^ (

which implies

′^ (

) and hence

′^ (

by exactness. Therefore,

)^

Example 1.3.3.

Solve the differential equation

sin

cos

1.3 Exact Differential Equations

Solution Let

) = sin

and

cos

. Then

𝑦

= cos

𝑥^

.^

Since

𝑦

𝑥

are all continuous in

R

2 , the given equation is exact. Thus, there exists a function

such

that

= sin

and

cos

which implies

sin

sin

)^

and

∂𝐹∂𝑦

cos

′^ (

.^

That is,

cos

cos

′^ (

which implies

′^ (

and hence

2

Therefore,

sin

2

constant, which implies 𝑥

sin

2

determines

)^

implicitly.

Example 1.3.4.

Solve the differential equation

3

(^2)

2

(^3)

SolutionStep 1: Checking Exactness Let

3

(^2) and

2

(^3)

.^

Then

Therefore the given equation is exact. Step 2: Finding Implicit Solution Then to find

)^

we use

3

2

4

2

(^2)

where

is a function of

only. To find A(y); ∂𝐹∂𝑦

2

′^ (

3

1.3 Exact Differential Equations

This idea works correctly if the ratio

𝑦

𝑥

is a function of x only, that is,

𝑦

𝑥

a function of

In this case

𝑦^

𝑥

which implies

∫^

𝑝

(𝑥

)𝑑𝑥

If the quotient

𝑦^

𝑥

is not a function of

alone, then the integrating factor

can not be

obtained using the above procedure, but we can try to find

as a function of

alone,

Then when

)^

is only a function of

, equation (1.11) will be reduced to 𝑑𝜇𝑑𝑦

𝑦^

𝑥

which implies

𝑦^

𝑥

,^

which is a separable differential equation

If the fraction

𝑦

𝑥

is a function of

alone, then

∫ 𝑞

(𝑦

)𝑑𝑦

Example 1.3.6.

Consider the equation

2 𝑦

.^

Let

and

2 𝑦

.^

Then

∂𝑀∂𝑦

and

∂𝑁∂𝑥

and hence

∂𝑀∂𝑦

∂𝑁∂𝑥

which implies

that the given differential equation is not exact.Assume that the given equation has an integrating factor. But

𝑦^

𝑥

2 𝑦

2

𝑦

2

𝑦

which is not a function of

alone. Hence obtaining

)^

is not possible.

1.4 Linear First Order Differential Equations

However,

𝑦^

𝑥

can be considered as a function of

alone. Therefore, it is possible to solve for

)^

and is given

by

∫ (

𝑑𝑦

3 𝑦

Now to solve the problem in (1.13), multiplying the given equation by

3 𝑦

we get the

equation

3 𝑦

2

𝑦^ )

3 𝑦

which is an exact differential equation. Thus, there exists

such that

3 𝑦

and

2 𝑦

3

𝑦

which implies that

3 𝑦

3 𝑦

To determine

we use

)^

which is obtained above and differentiate it with respect to

and equate the result with

2 𝑦

3 𝑦

. Hence we have

2 𝑦

3 𝑦

3 𝑦

′^ (

Then

3 𝑦

3

𝑦^

′^ (

)^

which implies that

′^ (

𝑦^

and hence

𝑦^

𝑦^

Therefore,

3 𝑦

𝑦^

That means

3 𝑦

𝑦^

where

is an

arbitrary constant, defines the implicit solution of the Differential Equation in (1.13). 1.

Linear First Order Differential Equations

Consider the general first-order linear differential equation

1

′^

0

1

By dividing both sides by

1

,^

we get

′^

where

)^

and

1.4 Linear First Order Differential Equations

Here we assume that

)^

and

)^

are continuous.

There is a general approach to solve linear equations. To solve for

from the given equation

we start with the simplest case, when

.^

That is, (1.14) becomes

′^

.^

This problem is called a homogeneous version of (1.14). Now to solve (1.15) first we get

′^

and we divide both sides by

and get

′ 𝑦^

Then by integrating

we get

ln

∣^

which implies

∣^

𝑐−

∫^

𝑝(

𝑥)

𝑑𝑥

∫ 𝑝

(𝑥

)𝑑𝑥

,^

for

Therefore,

∫ 𝑝

(𝑥

)𝑑𝑥

,^

where

is an arbitrary constant,

is a general solution of (1.15). Example 1.4.1.

Solve the following differential equations.

′^

′^

Solution:

  1. If

′^

,^

then

′𝑦 (^) 𝑦

We integrate

to get

ln

∣^

2

and hence

𝑥

2

is the general solution.

1.4 Linear First Order Differential Equations

  1. If

′^

,^

then

′ 𝑦

We integrate

to get

(𝑥

2 ln(

𝑥

+2)

), or

2

𝑥^

which is the general solution of the

given equation.

Now we want to solve the general first - order linear ordinary differential equation

′^

)^

This can be done in two steps. Step 1. Consider the homogeneous version of (1.16) and find the solution to be

∫ 𝑝

(𝑥

)𝑑𝑥

where

indicate the general solution for the homogeneous part of the equation

Step 2. To get the solution for the non-homogeneous part of the equation we vary the constant

with

different value of

Hence we assume that

∫ 𝑝

(𝑥

)𝑑𝑥

is a solution for (1.16). Then (1.17) must satisfy (1.16). i.e.

∫ 𝑝

(𝑥

)𝑑𝑥

′^

∫ 𝑝

(𝑥

)𝑑𝑥

which implies

′^ (

∫ 𝑝

(𝑥

)𝑑𝑥

∫ 𝑝

(𝑥

)𝑑𝑥

∫ 𝑝

(𝑥

)𝑑𝑥

Simplifying this gives us,

′^ (

∫^

𝑝(

𝑥)

𝑑𝑥

1.5 *Nonlinear Differential Equations of the First Order

Solution Since

,^

let

(^1) −

2

Then

′^

′^

and substituting

2

for

′^

we get

′^

2

2

1

Then we get the differential equation

′^ +

which is equivalent to the equation

.^

This implies

and we integrate

and get

𝐵 𝐴

𝐴𝑥

Therefore, the general solution of the original differential equation is

𝐵𝐴

𝐴𝑥

The Riccati Equation.

A differential equation of the form

′^

(^2)

is called

Riccati

equation. If

,^

then the equation is linear.

If we can obtain one particular solution

)^

of the

Riccati

equation, then the change of variables

transforms the

Riccati

equation in to a linear equation in

and

Then we find the general

solution of this linear equation and we use it to write the general solution of the original

Riccati

equation. Example 1.5.2.

Solve the

Riccati

equation

′^

12 𝑥^

2

(Hint:

is one solution.)

1.5 *Nonlinear Differential Equations of the First Order

The Clairuat Equation

A nonlinear differential equation of the form

′^

′^ )

is called

Clairuat

equation.

To solve such equation, let us differentiate both sides of the equation with respect to

Then

we get,

′^

′^

′′

′^ (

′^ )

′′

which implies that

′′

′^ (

′^ )) = 0

and hence

′′

or

′^ (

′^ ) = 0

Solving

′′^

gives us the general solution

and solving

′^ (

′^ ) = 0

gives us a

singular solution (include definition of singular solution in the basic section ). Example 1.5.3.

Solve the

Clairuat

equation

′^

1 ′ 𝑦^

Solution Differentiating both sides with respect to

to get

′^

′^

′′

′′ (𝑦

′^ )

2

This implies

′′

′^ )

2

and then solving

′′

gives us a general solution

and solving

′^ )

2

gives us a singular solution. Then

′^ )

2

(^1) 𝑥^

which implies

′^

1 ±

𝑥^

.^

Hence

is a

singular solution. Remark 1.5.1.

The general solution of the

Clairuat

equation is

Therefore, our

main focus for such equation is the singular solution.

1.6 Exercises

Exercises

Exercise 1.6.1.

Solve each of the following differential equations.

′^

2

′^

with inital condition

.^

Chapter 2Ordinary Differential Equations of TheSecond and Higher Order A second-order differential equation is a differential equation containing a second derivative ofa dependent variable with respect to the independent variable but no higher derivative.

The

theory of second-order differential equations is vast, and here we will focus on linear second-orderequations, which have many important uses.

Most of the results are given for a higher order

ODEs and second order ODEs are special cases, but most of our examples are for second orderODEs. 2.

Basic Theory

In this section, we will focus on the general theory of linear ordinary differential equations beforewe start to discuss about solving such problems. Definition 2.1.1.

A linear ordinary differential equation of order

in the dependent variable

and independent variable

is an equation which can be expressed in the form:

𝑛^

(𝑛

)^

𝑛

(𝑛

1

′^

where

𝑛

)^

and the functions

𝑛^

are continuous real- valued functions of

[

].

The function

)^

is called the non-homogeneous term and all the points

𝜖^

[

]^

in which

𝑛

) = 0𝜖^

are called singular points of the DE (2.1).

2.2 General Solution of Homogeneous Linear ODEs

The following theorem guarantees that any

th

order Linear Homogenous Ordinary Differential

Equation has

linearly independent solutions.

Theorem 2.2.

(Existence of Linearly Independent Solutions for a LHODE)

.^

The Linear Ho-

mogenous Differential Equation (LHODE) (2.2) always has

Linearly Independent (LI) solutions.

Furthermore, if

1

2

𝑛

are

LI solutions of (2.2), then every solution of (2.2)

can be expressed as a linear combination of these solution functions. i.e. If y is a solution for(2.2), then

𝑛 �^ 𝑖

=

𝑓𝑖^

(𝑖^

for some

𝑛^

R

Example 2.2.2.

Consider the second order linear homogenous DE

′′

Then

) = sin

) = cos

are LI solutions of the given equation.

Then

sin

cos

is the fundamental set of solutions of the given DE and hence the general solution of the DE isgiven by

1

sin

2

cos

for constants

1

2

R

Definition 2.2.4.

If

2

𝑛

)^

are

linearly independent solutions of (2.2) on

[

],

then the set

𝑛

is called the

Fundamental Set of Solutions

of (2.2) and

the function

1

2

𝑛

𝑛^

[

],

where

1

2

𝑛

are arbitrary constants is called a

General Solution

of (2.2) on

[

].

and

each

2

𝑛

are called particular solutions.

Example 2.2.3.

Consider the third order linear homogenous DE

′′′

′′

′^

a) The functions

𝑥

𝑥

2

𝑥^

are (particular) solutions (check!)

b)

𝑥^

𝑥^

and

2 𝑥

are LI (check!)

c) Therefore, the general solution of the given equation is given by:

𝑥

2

𝑥^

3

2 𝑥

2.2 General Solution of Homogeneous Linear ODEs

There is a simple test to determine whether a given set of functions is linearly independent ordependent on an open interval

, for some real numbers

, by using the idea of

determinant of a matrix. Definition 2.2.5.

Let

1

𝑛

be

real valued functions each of which has an

𝑡ℎ

derivative on the interval

[

].

The determinant:

W

[f

1

,^

f^2

f

n

] =

)^

)^

𝑛

)^

)^

′ 𝑛

...^

...^

( 𝑛

1

( 𝑛

2

( 𝑛

𝑛

W

is called the

Wronskian

of these

functions.

Example 2.2.4.

The function

2 𝑥

and

2

4 𝑥

are solutions of the second order

linear homogenous differential equation

′′

′^ + 4

.^

Then the Wronskian,

W

(x

)^

of

1

and

2

is

W

x

2 𝑥

4

𝑥

2

𝑥^

4 𝑥

4 𝑥

�����^

4 𝑥

4 𝑥

4 𝑥

4 𝑥

Question: Are the two functions

2 𝑥

and

4

𝑥^

linearly independent?

The above question can be easily answered using the following theorem. Theorem 2.2.

(Wronskian Test for Linearly Independence)

.^

The

functions

𝑛

are

Linearly Independent on an interval

[

]^

if and only if the

Wronskian

of

1

2

𝑛

is different

from zero for some

[

].

That is,

1

2

𝑛

are LI if and only if there exists

[

]

such that

W

)^

Example 2.2.5.

  1. Show that

and

2

are Linearly Independent.

Solution Consider the

Wronskian

of

and

2

W

(x

,^ x

2

2

�����^

2

2

2

This implies

W

2

2

,^

and hence

and

2

are LI.

  1. Show that

𝑥

𝑥

2 𝑥

are Linearly Independent.

2.2 General Solution of Homogeneous Linear ODEs

Solution Consider the

Wronskian

of

𝑥^ , 𝑒

𝑥

and

2 𝑥

W

(x

𝑥^

𝑥^

2 𝑥

𝑥^

𝑥

2 𝑥

𝑥^

𝑥^

2 𝑥

which is equal to

𝑥

𝑥

𝑥^

)^

𝑥

3 𝑥

3 𝑥

2 𝑥

2 𝑥

2 𝑥

2

𝑥

2 𝑥

,^

R

Hence,

𝑥^

𝑥^

and

2 𝑥

are Linearly Independent.

  1. Show that the functions

1

𝑥^

2

𝑥

) = sinh

are linearly dependent on

R

, since

3

) = sinh

𝑥^

𝑥

Solution Consider the

Wronskian

of

𝑥^ , 𝑒

𝑥

and

sinh

W

x

𝑥

𝑥

𝑥𝑒 −

−𝑒

𝑥 2

𝑥

𝑥^

𝑥𝑒

−𝑒

𝑥 2

𝑥

𝑥

𝑥𝑒 −

−𝑒

𝑥 2

,^

R

Hence

𝑥

𝑥

and

sinh

are linearly dependent.

Remark 2.2.7.

The Wronskian of

solutions

1

2

𝑛

of the DE (2.2) is either identically

zero on

[

]^

or else is never zero on

[

].

That is, if

1

2

𝑛^

are solutions of the DE (2.2),

then

,^

[

]^

if

1

2

𝑛

are LD. or

,^

[

]^

if

1

𝑛

are

LI.

2.2 General Solution of Homogeneous Linear ODEs

Reduction of Order

In the preceding section we saw that the general solution of a homogeneous linear second-orderdifferential equation

′′

is a linear combination

1

1

where

1

and

2

are linearly independent solu-

tions on some interval I.In this method we can construct a second solution

2

of a homogeneous equation (2.5) (even

when the coefficients in (2.5) are variable) provided that we know a nontrivial solution

1

of the

DE. The basic idea described in this section is that equation (2.5) can be reduced to a linearfirst-order DE by means of a substitution involving the known solution

. A second solution 1

2

of (2.5) is apparent after this first-order differential equation is solved.The method is described bellow.Suppose that

1

denotes a nontrivial solution of (2.5) and that

1

is defined on an interval I. We

want to find a second solution

2

so that the set consisting of

1

and

2

is linearly independent on I.

The quotient

2

1

is nonconstant on I, that is,

or

1

.^

The function

)^

can be found by substituting

𝑦

2

1

into the given differential equation.Consider the derivatives

′ 2

′^ 𝑦

1

′ 1

and

′′ 2

′′^ 𝑦

1

′^ 𝑦

′ 1

′′ 1

and substituting these in

(2.5) we get

′′^

1

′^ 𝑦

′ 1

′′ 1

′^ 𝑦

1

′ 1

1

and simplifying this gives us

′′

1

′^ (

′ 1

1

′′ 1

′ 1

1

2.3 Homogeneous LODE with Constant Coefficients

Case 1. Distinct Real Roots Suppose that (2.7) has

distinct roots,

2

𝑛

where

𝑖^

,𝑗^

for

𝑖^

Then, the

solutions

𝜆^1

𝑥

𝜆^2

𝑥

𝜆

𝑛^

𝑥^

are linearly independent. (Use the Wronskian to prove this.)

If

𝑛

are the

distinct real roots of (2.7), then the general solution of (2.6) is:

𝑦

𝜆

𝑥 1

𝜆

𝑥 2

𝑛

𝜆^ 𝑛

𝑥

𝑛 �^ 𝑖

=

𝜆

𝑥𝑖

where

2

𝑛

are arbitrary constants.

Example 2.3.1.

  1. For the differential equation

′′

′^

,^

the characteristic equation

is:

2

,^

and

1

and

2

are the two distinct real roots of this

characteristic equation.

Hence, the general solution of the given differential equation is

2 𝑥

2

𝑥

  1. For the differential equation

′′′

′′

′^

,^

the corresponding characteristic

equation is:

3

2

with distinct real roots

1

2

and

3

Therefore, the general solution of the give equation is

1

2 𝑥

3

𝑥^

3

𝑥^

Case 2. Repeated Real Roots To understand the situation let us consider the following example. Example 2.3.2.

Consider the DE

′′^

′^

.^

Then, its characteristic equation is

2

,^

which implies

2

.^

Therefore,

1

2

,^

which is a repeated real root.

One of the solutions of the given linear differential equation is

3 𝑥

Let

3 𝑥

.^

The given equation will have two linearly independent solutions and the second

solution can be found by using the method of

reduction of order.

Let

2

be another solution

so that

1

and

2

are linearly independent. Then

2

where

∫ −

6 𝑑𝑥

3 𝑥

2

6

𝑥 𝑒

6

𝑥

Therefore

2

3

𝑥^

and

1

3 𝑥

2

3 𝑥

is a general solution for constants

1

and

2

Remark 2.3.3.

Given a differential equation:

  1. if the characteristic equation has double real root

then

𝜆𝑥

and

𝜆𝑥

are two linearly

independent solutions and;

2.3 Homogeneous LODE with Constant Coefficients

  1. if the characteristic equation has triple root

then the corresponding linearly independent

solutions are

𝜆𝑥

𝜆𝑥

and

2

𝜆𝑥

Let us proof the first part of the above remark for a second order linear homogenous differentialequation .If the given DE is

′′

′^ +

,^

then its characteristic equation is

2

and then

1

2

𝑏 2 𝑎

One of the solution of the given DE is

1

𝜆𝑥

.^

Then we can use the method

of reduction of order to find a second solution

2

so that

1

and

2

are linearly independent.

The given equation is equivalent to

′′

′^

and

2

where

∫ 𝑏𝑎

𝑑𝑥

𝜆𝑥

2

𝑏𝑥𝑎 𝑒

2 𝜆𝑥

since

𝑏𝑎

and hence

2

𝜆𝑥

The following theorem is a generalization for the above remark. Theorem 2.3.4.

  1. If the characteristic equation (2.7) has the real root

occurring k times

1

2

𝑘^

)^

where

then the part of the general solution for (2.6) corresponding to

this k fold repeated root is

1

3

2

𝑘

𝑘

𝜆𝑥

  1. If further, the remaining roots are the distinct real roots

𝑘

𝑘+

𝑛

,^

the general

solution of (2.6) will be:

1

𝜆𝑥

2

𝜆𝑥

3

2

𝜆𝑥

𝑘

𝑘

𝜆𝑥

𝑘+

𝜆

𝑘+

𝑥

𝑛

𝜆

𝑛

𝑥^

Example 2.3.3.

  1. Consider the Differential Equation

(4)

′′′

′′^

′^

The corresponding characteristic equation is

4

3

2

and the roots are

1

2

3

4

Therefore, the general solution is given by

1

2 𝑥

2

2 𝑥

2

2 𝑥

4

𝑥^

,^

where

𝑐^1

3

and

4

are constants.

2.3 Homogeneous LODE with Constant Coefficients

  1. Consider the Differential Equation

′′′

′′

′^

The roots of the characteristic

equation are,

1

2

and

3

and hence the general solution of the equation is:

3 𝑥

2

3 𝑥

2

𝑥^

,^

where

1

2

and

3

are constants.

Case 3. Conjugate Complex Roots Suppose the equation (2.7) has a complex root

R

.^

Then (we know from the

theory of algebraic equations that) the conjugate

is also a root of (2.7) and the

corresponding part of the general solution of (2.6) will be:

(𝑎

𝑖𝑏

)𝑥

(𝑎

𝑖𝑏

)𝑥

But

𝑎

𝑖𝑏

𝑎^

𝑖𝑏

𝑎^

(cos

sin

(by applying Euler’s formula) and then

(𝑎

𝑖𝑏

)𝑥

2

(𝑎

𝑖𝑏

)𝑥

1

𝑎𝑥

(cos

sin

2

𝑎𝑥

(cos

𝑥^

sin

𝑎𝑥

[(

1

) cos 2

1

2

) sin

]

𝑎𝑥

𝑐^1

cos

2

sin

where

1

1

2

and

2

1

are arbitrary constants from the set of complex numbers

C

On the other hand if

and

are each k fold roots of (2.7), then the part of

the general solution that corresponds to this part is

𝑎𝑥

( [

1

𝑘

𝑘

cos

𝑘

𝑘+

2 𝑘

𝑘−

1

sin

].

Example 2.3.4.

Solve

′′

′^

Solution The characteristic equation of the given equation is

2

with roots

1

and

2

Then

1

1+

𝑖^

and

2

1 −

3 𝑖

are two independent solutions of the given

equation. Therefore,

1

1

where

1

and

2

are constants, is a general solution of the

given equation. That means

𝑥

1

cos 3

2

sin 3

2.4 Nonhomogeneous Equations with Constant Coefficients

Exercises

Exercise 2.3.5.

Solve each of the following Differential Equation.

′′

′′

′^

(4)

′′′

′′

′^

,^

where

1

2

𝑖^

and

3

4

Nonhomogeneous Equations with Constant Coefficients

Consider the equation

2

.^

which governs the displacement

of a mechanical oscillator. Here

)^

is the forcing function

and the equation is a non-homogeneous linear ODE with constant coefficients. There are severalpractical problems which can be modeled in this form.Recall that differential equations of the form

𝑛

(𝑛

)^

′^

,^

where

)^

are called nonhomogeneous differential equations.

In the previous sections we have seen how

to solve homogeneous differential equations.

In this section we are going to see how to solve

differential equations of the form

𝑛

(𝑛

)^

𝑛−

1

(𝑛

′^

where

𝑛^

0

are constants is called a nonhomogeneous differential equation with constant

coefficients. The following theorem is very important in such cases. Theorem 2.4.

(Homogeneous-Nonhomogeneous Solution Relation)

.^

Consider the nonhomoge-

neous differential equation

𝑛

(𝑛

)^

′^

0

,^

where

If

,^

then the equation becomes a homogeneous equation.

  1. If

1

and

2

are solutions of the nonhomogeneous equation on an interval I, then

1

2

is also a solution of the homogeneous equation in the interval I.