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SOLVING SECOND ORDER NON HOMOGENEOUS DIFFERENTIAL EQUATIONS
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Thank you for visiting our site! You landed on this page because you entered a search term similar to this: solving second order non homogeneous differential equations, here's the result:
MM - 455 Differential
Equations
4.1 nth-order Linear
Equations
Homogeneous
An nth-order linear differential
equation is homogeneous if it can be written in the form:
The word homogeneous here does not mean the same
as the homogeneous coefficients of chapter 2. Here it refers to the
fact that the linear equation is set to 0. The general solution to
this differential equation is y = c1y1( x ) +
c2y2( x ) + ... + cnyn( x
), where each of the yi( x ) are linearly independent. To
be linearly independent means that none of the equations can be
written as a linear combination of the others. For example,
y1( x ) = ex and y2( x ) =
5ex are not linearly independent since the second is 5
times the first, whereas y1( x ) = ex and
y2( x ) = 5e-x are linearly independent.
Wronskians
The usual method for determining linear
independence is with a Wronskian. For two functions, f1( x ) and f2(
x ), the Wronskian is defined to be: .
If the determinant is 0 the functions are dependent, otherwise they
are independent. For f1( x ) = ex and f2( x ) =
5ex, the Wronskian = 0. For the functions f1( x ) =
ex and f2( x ) = 5e-x, the Wronskian = -10,
showing that these are linearly independent. For three functions of
x, the Wronskian is:
.
Therefore for an nth-order linear
homogeneous differential equation,we are looking for an n-parameter
solution of linearly independent functions of x.
For example, using DSolve{ } to solve the second
order differential equation x2y'' - 3xy' + 4y = 0, use the
usual:
.
Mathematica will return the proper two parameter solution of two
linearly independent solutions.
Non-Homogeneous
An nth-order linear differential
equation is non-homogeneous if it can be written in the
form:
The only difference is the function g( x ). The general solution
to this differential equation is y = c1y1( x ) + c2y2(
x ) + ... + cnyn( x ) + yp, where yp
is a particular solution. The first part is identical to the homogeneous solution
of above. The general method for solving non-homogeneous differential equations
is to solve the homogeneous case first and then solve for the particular solution
that depends on g( x ). The sum of the two is the general solution. Generally
the solution is written as y( x ) = yc( x ) + yp( x ), where yc( x ), the
complementary solution, is the solution to the homogeneous differential
equation and yp( x ), the particular solution, is a solution based on
g( x ).
Now, the question is will Mathematica be able to solve these
non-homogeneous cases in y=the correct form? The answer is it can and will for
all those cases that we normally do by hand and then some. Let's solve .
The solution should be of the same form as above and a particular solution with
no parameters ( constants ) added to it. The solution returned is exactly that:

In section 4.2 we will learn how to reduce the order of homogeneous
linear differential equations if one solution is known. In section 4.3 we will
solve all homogeneous linear differential equations with constant coefficients.
In section 4.5 we will solve the non-homogeneous case. For all other sections
of chapter 4, a CAS program should be utilized. As usual we will use Mathematica's
DSolve[ ], but your test will be based on the techniques in 4.2, 4.3 and 4.5.
Things to know and do
- Find the Wronskian to determine linear
independence of several functions of x.
- Use Mathematica to solve homogeneous and
non-homogeneous differential equations.
- Determine the linear independence of y = 5, y
= sin2( x ), y = cos2( x ) with a
Wronskian.
- Solve the non-homogeneous differential
equation x2y'' + xy' + y = x.
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