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PDE


Unit - 4


Systems of linear differential equations


The general linear system of two first order differential equations in two unknown functions x and y is of the form

For example:

 

Note- When a set of linear equations which is related to a group of functions to their derivative, then the system is called the system of linear differential equations.

 

The general linear system of three first-order differential equations in three unknown functions x, y and z can be defined as

 

Example:

The normal form in the case of two linear differential equations in two unknown functions are given as-

For example:

The normal form in the case of linear system of three differential equations in three unknown functions x,y and z are

For example:

 

Normal form of LDE-

The normal form of in the case of two LDE in  two unknown functions is-

The normal form of in the case of a linear system of three differential equations in three unknown functions x, y and z is-

 

Matrix form of system of linear differential equations

Suppose the system of linear differential equations is gives as below

This system is written as

Where

And

 

Key takeaways

  1. When a set of linear equations which is related to a group of functions to their derivative, then the system is called the system of linear differential equations.
  2. The normal form in the case of two linear differential equations in two unknown functions are given as-

 


In order to solve a linear system with constant coefficient, we use symbolic operators.

Suppose x is n-times differentiable function of the independent variable t. We denote the operation of differentiation with respect to t by the symbol ‘D’ and we call it as differential operator.

In terms of this differential operator the derivative dx/dt is denoted by Dx.

Which is

In same order we denote the second derivative of x with respect to t by

The nth derivative of x with respect to t by

That is

Extending the operator notations, we write

And

Where a, b and c are the constants.

In this notation the linear differential expression with constant coefficients

Can be written as-

Here note that the operator in this expression do not represent quantities that are to be multiplied by the function x, but rather they indicate operations that are to be carried out upon this function.

The expression

Where are constants, is called linear differential operator with constant coefficients.

Where are constants, now suppose are both n-times differentiable functions of t and are constants.

Then it can be written as

 

For example, if the operator is applied to then

Or

 

An operator method for linear system with constant coefficient

We consider a linear system of the form

Where are linear differential operators with constant coefficient.

Where a, b, are constants.

 

Example:

A simple example of a system which may be expressed in the form of (1) and (2) is provided by

Let’s denote the above system in notation format

Where

Now we apply the operator to (1) and to (2), we get

 

Now subtract the second of these equations from first, since

We get

Or

is the left side of this equation is itself a linear differential operator with constant coefficients.

We assume that it is neither a zero nor a non-zero constant and denote it by  .

And if we again assume that is the right side and are the members of this, then this member is some function let say .

Then the equation (3) becomes

Equation (4) is a linear differential equation with constant coefficient in the single dependent variable x.

Hence we notice that the procedure has eliminated the other dependent variable y.

We now solve the differential equation (4) for x.

Suppose (4) is of order n. Then the general solution of (4) will be

Where are the n linearly dependent solutions of the homogenous linear equation and are arbitrary constants and is the particular solution (PI).

 

Now again we apply the operators and to the equations (1) and (2) respectively.

The system becomes
 

Subtracting, we get

As same as above

The general solution

Where are the n linearly dependent solutions of the homogenous linear equation and are arbitrary constants and is the particular solution (PI).

 

Key takeaways

  1. In terms of this differential operator the derivative dx/dt is denoted by Dx.

Which is

2.    

Can be written as-

 


Let us consider a basic type of system of two linear differential equations in two unknown functions. This is of the form

We will assume that the functions are all continuous on a real interval

If and are zero for all t, then the above system is called homogeneous, otherwise the system is called non-homogeneous.

For example:

Is homogenous,

And the system

Is non-homogeneous.

We mean by the solution of equation (1), an ordered pair of real functions each having a continuous derivative on the real interval such that

For all t such that ,

In other words,

Simultaneously satisfy both equation of the system (1) identically for

 

Key takeaways

If and are zero for all t, then the above system is called homogeneous, otherwise the system is called non-homogeneous.

 


Linear differential equation are those in which the independent variable and its derivative occur only in the first degree and are not multiplied together.

Thus the general linear differential equation of the n’th order is of the form

Where and X are function of x.

Linear differential equation with constant co-efficient are of the form-

Where are constants.

 

Rules to find the complementary function-

To solve the equation-

This can be written as in symbolic form-

Or-
 

It is called the auxiliary equation.

Let be the roots-

 

Case-1: If all the roots are real and distinct, then equation (2) becomes,

Now this equation will be satisfied by the solution of

This is a Leibnitz’s linear and I.F. =

Its solution is-

The complete solution will be-

 

Case-2: If two roots are equal

Then complete solution is given by-

 

Case-3: If one pair of roots be imaginary, i.e. then the complete solution is-

Where and

 

Case-4: If two points of imaginary roots be equal-

Then the complete solution is-

 

Example-Solve

Sol.

Its auxiliary equation is-

Where-

Therefore the complete solution is-

 

Inverse operator-

is that function of x, not containing arbitrary constants which when operated upon gives X.

So that satisfies the equation f(D)y = X and is, therefore, its P.I.

f(D) and 1/f(D) are inverse operator.

 

Note-

1.

2.

 

Rules for finding the particular integral-

Let us consider the equation-

Or in symbolic form-

 

So that-

Now-

Case-1: When X =

In case f(a) = 0, then we see that the above rule will not work,

So that-

 

Example: Find the P.I. Of (D + 2)

Sol.

P.I. =

Now we will evaluate each term separately-

And

Therefore-

 

Example: Solve (D – D’ – 2 ) (D – D’ – 3) z =

Sol.

The C.F. Will be given by-

Particular integral-

Therefore the complete solution is-

 

Case-2: when X = sin(ax + b) or cos (ax + b)

In case then the above rule fails.

Now-

And if

Similarly-

 

Example: Find the P.I. Of

Sol.

 

Example: Find the P.I. Of (D + 1) (D + D’ – 1)z = sin (x + 2y)

Sol.

 

Example: Find P.I. Of

Sol. P.I =

Replace D by D+1

Put

Problem:

Solve

Solution:

Auxiliary equation  

Complementary function

Complete Solution is  

 

Problem:

Solve

Solution:

Auxiliary equation

C.F is

  []

   The Complete Solution is  

 

Example:

Solve 

Solution:

The Auxiliary equation is

  The C.F is  

P.I

   The Complete Solution is 

 

Example:

Solve

Solution:

The Auxiliary equation is   

  The C.F is

P.I

Now,  

   The Complete Solution is

 

Example:

Solve 

Solution:

The auxiliary solution is

  The C.F is

Now,

 [Putting ]

Similarly, we find that

The Complete Solution is

 

Example:

Solve

Solution:

The auxiliary equation is

The C.F is

 [Put ]

   The Complete Solution is

 

Example:

Solve

Solution:

The auxiliary equation is     

The C.F is

But

   The Complete Solution is

 

Example:

Solve

Solution:

The auxiliary equation is   

The C.F is

 [By parts]

   The Complete Solution is

 

Example:

Solve

Solution:

The auxiliary equation is    

The C.F is

Here ,   .    Let

Now, 

  Put

Multiply by in the numerator and denominator

Put  

   The Complete Solution is

 

Example:

Solve

Solution:

The auxiliary equation is  

The C.F is

Now, 

And 

   The Complete Solution

 

Example:

Solve

Solution:

The auxiliary equation is  

  

The C.F is

And,  

Now, 

And 

And

   The Complete Solution is

 

Key takeaways

  1. Linear differential equation with constant co-efficient are of the form-

Where are constants.

2.     If all the roots are real and distinct, then equation (2) becomes,

 

3.     If two roots are equal

Then complete solution is given by-

4.     If one pair of roots be imaginary, i.e. then the complete solution is-

Where and

5.     If two points of imaginary roots be equal-

Then the complete solution is-

 


Suppose dy/dx = f(x, y) is a first order ODE and with the initial condition y(0) = 0 and if f and are continuous on rectangle R for which the then where y = is the unique solution to this initial value problem.

Now the functions are successive approximations of the unique solution y = .

Hence we begin with , and the other functions can be find by using the formula given below

 

Example: By using the method of successive approximation find the functions of the following differential equation

With the initial condition y(0) = 0.

Sol:

Suppose , here f is continuous on all of and is continuous on all of , hence the unique solution exists.

Now define

Here we will calculate the three approximations,

Similarly

Now the third approximations will be

 

Example: By using the method of successive approximation find the functions of the following differential equation

With the initial condition y(0) = 0.

 

Sol:

Suppose , here f is continuous on all of and is continuous on all of , hence the unique solution exists.

Now define

Here we will calculate the three approximations,

Now

And

 

 

References:

1. Erwin Kreyszig, Advanced Engineering Mathematics, 9thEdition, John Wiley & Sons, 2006.

2. Advanced engineering mathematics, by HK Dass

3. Differential equations, Shepley L. Ross, Willey India.

4. Partial differential equations, Phoolan Prasad, Renuka ravindran, John Willey & Sons

 


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