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Review Article Open Access
Method for Solving Particular Solution of Linear Second Order Ordinary
Differential Equations
Arficho D*
Department of mathematics, Aksum University, Aksum, Ethiopia
Abstract
In this paper, we derive new method for solving particular solution of linear second order ordinary differential
equations whenever one solution of their associated homogeneous differential equations is given. Also, we construct
second solution of the associated homogeneous differential equation from this new method. Moreover, we have
general solution method of linear second order ordinary differential equations without applying the two famous
methods, undetermined coefficients method and variation of parameters method, for solving their particular solution.
Keywords: Reduction of order; Fundamental set otherwise, it is non-homogeneous [3].
Introduction Linear first order differential equations
A differential equation is an equation that relates an unknown The linear first order ordinary differential equation with unknown
function and one or more of its derivatives of with respect to one or dependent variable y and independent variable x is defined by
more independent variables [1,2]. If the unknown function depends 1
( ) (2.1)
axy +=axy gx.
( ) ( ) ( )
only on a single independent variable, such a differential equation is 01
ordinary. The order of an ordinary differential equation is the order of Solution of linear first order differential equations: The general
the highest derivative that appears in the equation [3]. In real world, solution of the equation in equation 2.1 is given by
there are physical problems that are ordinary differential equations. m()xg()x
Thus, we need solution methods to solve these problems. A solution of ò axydx (2.2)
()
a differential equation in the unknown function y and the independent v= 21
m x
variable x on the interval I is a function y(x) that satisfies the differential ()
ax()
equation identical for all x in I [2]. A solution of a differential equation Where µ(x) = exp(ò ( 0 )dx
ax()
with arbitrary parameters is called a general solution. A solution of 1
a differential equation that is free of arbitrary parameters is called a Fundamental set of solutions
particular solution [2]. A solution in which the dependent variable is A set of functions y (x), y (x), · · · , f (x) is said to be linearly
expressed solely in terms of the independent variable and constants is 1 2 n
said to be an explicit solution. A relation G(x,y) is said to be an implicit dependent on an interval I if there exist constants c1, c2, , cn not all
zero, such that cy x+cy x++· · · cy x = 0 for every x in the
( ) ( ) ( )
solution of an ordinary differential equation on an interval I, provided 11 22 nn
there exists at least one function f that satisfies the relation as well as the interval. If the set of functions is not linearly dependent on the interval,
it is said to be linearly independent. Any set y (x), y (x), · · · , f (x) of n
DE on I [2]. Moreover, solutions of differential equations are classified 1 2 n
as trivial and non-trivial solutions, general and particular solutions and linearly independent solutions of the homogeneous linear nth-order
explicit and implicit solutions. The general solution of linear second differential equation on an interval I is said to be a fundamental set of
order ordinary differential equations consists of solutions of their solutions on the interval.
associated homogeneous differential equations and their particular General solution of linear higher order differential equations
solutions. There are two famous methods, undetermined coefficients The associated homogeneous differential equation of
method and variation of parameters method, for solving particular nonhomogeneous linear nth order differential equation
solutions of linear second order ordinary differential equations. Finally,
one can solve for particular solution of linear second order ordinary 11nn-
( ) ( ) ( )
axy +axy ++· · · a xy +axy = gx
( ) ( ) ( ) ( ) ( )
differential equations without applying undetermined coefficients 01 nn-1
method and variation of parameters method. is
Linear Higher Order Differential Equations
A differential equation
nn-11 *Corresponding author: Arficho D, Department of mathematics, Aksum University,
( ) ( ) ( )
Fy( , y , · · · , y , y) = gx
( ) Aksum, Ethiopia, Tel: 347753645; E-mail: daniel.arficho@yahoo.com
(n) (n−1) Received March 10, 2015; Accepted March 25, 2015; Published April 10, 2015
is said to be linear if F is a linear function of the variables y , y ,
(1)
· · · , y , y [3]. An nth-order linear differential equation in a dependent Citation: Arficho D (2015) Method for Solving Particular Solution of Linear
variable y and independent variable x defined on an interval I ÌR has Second Order Ordinary Differential Equations. J Appl Computat Math 4: 210.
the form doi:10.4172/2168-9679.1000210
1 nn-1 Copyright: © 2015 Arficho D. This is an open-access article distributed under the
( ) ( ) ( )
axy + axy ++ · · · a xy + axy = gx.
( ) ( ) ( ) ( ) ( )
01 nn-1 terms of the Creative Commons Attribution License, which permits unrestricted
If g(x) = 0 for all x in I, then the differential equation is homogeneous, use, distribution, and reproduction in any medium, provided the original author and
source are credited.
J Appl Computat Math
ISSN: 2168-9679 JACM, an open access journal Volume 4 • Issue 2 • 1000210
Citation: Arficho D (2015) Method for Solving Particular Solution of Linear Second Order Ordinary Differential Equations. J Appl Computat Math 4:
210. doi:10.4172/2168-9679.1000210
Page 2 of 3
11nn-
( ) ( ) ( ) [2]. 2.4, we have
axy +axy ++· · · a xy +axy = 0
( ) ( ) ( ) ( )
01 nn-1
(1) (2) (2.6)
a()xy+a()xy +a()xy =g(x)
Theorem 4.1. Let y , y , · · · , y be linearly independent solutions of 01pp2p
1 2 n
the homogeneous linear nth order differential equation From equation in equation 2.6 It follows that
11nn-
( ) ( ) ( ) (2.3)
axy +axy ++· · · a xy +axy = 0 (1) (1) (2)
( ) ( ) ( ) ( )
01 nn-1 a()()xuxy()x+a()x[()uxy +u y]+a()x[()uxy (2.7)
0 11 1 12 1
(1) (1) (2)
on an interval I. Then the general solution of the equation in 2.3 on +2y u +=u y] gx()
11
the interval I is Using equation in equation 2.5, the equation in equation 2.7 is
y = cy +cy ++· · · c y +cy, y = cy +cy ++· · · c y +cy, reduced to
11 22 n--1n1 nn 11 22 n--1n1 nn
1 12
( ) (1) ( ) ( )
éù
axuy + ax[2 y u += uy] gx
( ) ( ) ( ) (2.8)
1121 1
where c, (i=1, 2, · · · , n − 1, n) are arbitrary constants [1]. ê ú ( )
i ëû
Theorem 4.2. Let y , y , · · · , y be linearly independent solutions of From equation in equation 2.8 It follows that
1 2 n
the associated homogeneous linear nth order differential equation on an 12
(1) ( ) ( )
ùé
[]axy +2 a xy u +axyu = gx (2.9)
( ) ( ) ( ) ( )
interval I, and let y be particular solution of linear nth order differential 1121 21
( ) ú ê
equation p û ë
(1)
Let u =V. Then from equation in equation 2.9, we have
Then the general solution of the equation 1
(1) ( )
[]axy +2 a xy v +=a xyv gx
( ) ( ) ] [ ( ) ( ) (2.10)
112 1 21
( )
11nn-
( ) ( ) ( )
axy +axy ++· · · a xy +axy = X
( ) ( ) ( ) ( )
01 nn-1 The equation in equation 2.10 is linear first order ordinary
on the interval I is differential equation. Thus,
y = cy +cy ++· · · c y + cy +y,
1 1 2 2 n--1 n1 nn p using the formula in equation 2.2, we get
where ci, (i = 1, 2, · · · , n − 1, n) are arbitrary constants [2]. m()xg()x
General solution of linear second order differential equations: ò a ()xy dx (2.11)
v= 21
The second order linear ordinary differential equation with unknown m()x
dependent variable y and independent variable x is defined by (1)
a()xy+2a()xy
where μ(x) = 1121
exp(ò ( )dx)
12
( ) ( ) a()xy
a xy ++axy axy = gx. 21
( ) ( ) ( ) ( ) (2.4)
012
Now, to solve nonhomogeneous second order linear differential Thus, u = ò vdx , where
equations, first we solve their associated homogeneous differential m()xg()x (1)
a()xy+2a()xy
equations. Since the general solution of the equation in equation dx 1121
ò a()xy and μ(x) = exp(ò ( )dx)
21 a()xy
2.4 consists of its particular solution, we search methods for solving v= m()x 21
the particular solution of equation in equation 2.4. Most authors
of differential equations books used two famous methods, namely, Clearly,
undetermined coefficients methods and variation of parameters 2 ax()
m(x)=y exp( ( 1 )dx) Therefore, articular solution y (x) = u(x)
method to find particular solution of nonhomogeneous linear second 1 ò ax() p
order differential equations. Here we would like to introduce new 2
y (x) of the equation in equation 2.4 is
method for finding particular solution of nonhomogeneous linear 1
yx = yx vdx (2.12)
second order differential equations. Moreover, we construct a second p ( ) 1( )ò
solution of the associated homogeneous linear second order differential
equation so that the set consisting of y1and y2 is linearly independent on where
I from this new method. m()xg()x
ò dx 2 ax()
Procedure for deriving new method for particular solution of a ()xy and m(x)= y exp( ( 1 )dx) .
v= 21 1 ò ax()
nonhomogeneous linear second order differential equations: Let y1 m()x 2
be a non-zero known solution of the associated homogeneous linear
second order differential equation of the equation in equation 2.4. Result and Discussion
Thus, we have There are two particular solution methods. One is method of
(1) (2) (2.5)
a()xy++a()xy a()xy =0 undetermined coefficients. The general method of undetermined
011121
Then we assume that y (x) = u(x)y (x) as particular solution of coefficients is limited to differential equations of the form
p 1
12
the equation in equation 2.4 to construct particular solution of the ( ) ( ) and a (x) are
axy ++axy axy = gx, where ax, ax
( ) ( ) ( ) ( ) ( ) ( )
equation in equation 2.4. 0 1 2 01 2
constant functions and g(x) is a constant k, a polynomial function,
It follows that an exponential function, a sine or cosine function, or finite sums
and product of these functions [2]. Thus, this method is not general
(1) (1) (1) method for particular solution. The second particular solution method
y ()x=+u(x)y(x) ux()y ()x
and
p 11 is variation of parameters method. Unlike method of undetermined
(2) (2) (1) (1) (2)
y ()x=+u (x)y(x) 2u ()xy ()x+u()xy ()x coefficients, this method is general method for particular solution
p 111
Since y (x)=u(x)y (x) is particular solution of the equation in because it works even if the conditions given for method of
equation p 1 undetermined coefficients fail.
J Appl Computat Math Volume 4 • Issue 2 • 1000210
ISSN: 2168-9679 JACM, an open access journal
Citation: Arficho D (2015) Method for Solving Particular Solution of Linear Second Order Ordinary Differential Equations. J Appl Computat Math 4:
210. doi:10.4172/2168-9679.1000210
Page 3 of 3
Now we derived the third method for particular solution of solution of the associated homogeneous equation of the equation in
(1) (2) as y (x)=y (x) vdx , where equation 2.4 inserting g(x)=0 in this particular solution method. This
a()xy++a()xy a()xy =g()x p 1 ò
012 implies that
m()xg()x ò 0dx . Thus choose v= 1
ò a xydx and y =+ cy cy +y, v= m()x
() 11 22 p m x
v= 21 ()
m x
() Therefore,
Unlike variation of parameters method, we need only one
solution of the associated homogeneous differential equation of a y (x) = y (x) vdx ,
21
differential equation to derive particular solution of a differential ò
equation. Moreover, this new method for particular solution is good Where
method because it works even if the conditions given for method of 1 2 ax()
v= and m(x)=y exp( ( 1 )dx) is the second solution of
undetermined coefficients fail. m()x 1 ò ax()
2
Conclusion the associated homogeneous equation of the equation in equation 2.4.
Moreover, the general solution of the equation in equation 2.4 is
Now, we use equations in equation 2.12 to draw conclusion about y =+ cy cy +y,
particular solution method of the equation in equation 2.4 if y1(x) 11 22 p
is known solution of the associated homogeneous equation of the where y , y and y are as given above. Here c, (i=1, 2) are arbitrary
1 2 p i
equation in equation 2.4. Therefore, the particular solution method of constants.
the equation in equation 2.4 is References
y x = y x vdx, 1. Levermore D (2012) Higher-Order Linear Ordinary Differential Equations I:,
p ( ) 1( ) ò Department of Mathematics, University of Maryland.
m()xg()x 2. Dennis G, Zill (2013) A First Course in Differential Equations, Ricard Stratton,
ò dx 2 ax()
a xy 1 Los Angeles, United States of America, (10thedn).
Where () and m(x)= y exp( ( )dx)
v= 21 1 ò ax()
m x 2
() 3. Yüksel S (2014) differential equations for engineering science, Queen’s
University, Canada.
From this particular solution method, one can construct the second
J Appl Computat Math Volume 4 • Issue 2 • 1000210
ISSN: 2168-9679 JACM, an open access journal
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