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'''Reduction of order''' is a technique in [[mathematics]] for solving second-order linear [[Ordinary differential equation|ordinary]] [[differential equation]]s.  It is employed when one solution <math>y_1(x)</math> is known and a second [[Linear independence|linearly independent]] solution <math>y_2(x)</math> is desired. The method also applies to n-th order equations. In this case the [[ansatz]] will yield a (n-1)-th order equation for <math>v</math>.
 
== Second-order linear ordinary differential equations==
 
===An Example===
 
Consider the general homogeneous second-order linear constant coefficient ODE
 
:<math> a y''(x) + b y'(x) + c y(x) = 0, \;</math>
 
where <math>a, b, c</math> are real non-zero coefficients, Furthermore, assume that the associated characteristic equation
 
:<math> a \lambda^{2} + b \lambda + c = 0 \;</math>
 
has repeated roots (i.e. the [[discriminant]], <math>b^2 - 4 a c</math>, vanishes). Thus we have
 
:<math> \lambda_1 = \lambda_2 = -\frac{b}{2 a}.</math>
 
Thus our one solution to the ODE is
 
:<math>y_1(x) = e^{-\frac{b}{2 a} x}.</math>
 
To find a second solution we take as a guess
 
:<math>y_2(x) = v(x) y_1(x) \;</math>
 
where <math>v(x)</math> is an unknown function to be determined. Since <math>y_2(x)</math> must satisfy the original ODE, we substitute it back in to get
 
:<math> a \left( v'' y_1 + 2 v' y_1' + v y_1'' \right) + b \left( v' y_1 + v y_1' \right) + c v y_1 = 0.</math>
 
Rearranging this equation in terms of the derivatives of <math>v(x)</math> we get
 
:<math> \left(a y_1 \right) v'' + \left( 2 a y_1' + b y_1 \right) v' + \left( a y_1'' + b y_1' + c y_1 \right) v = 0.</math>
 
Since we know that <math>y_1(x)</math> is a solution to the original problem, the coefficient of the last term is equal to zero. Furthermore, substituting <math>y_1(x)</math> into the second term's coefficient yields (for that coefficient)
 
:<math>2 a \left( - \frac{b}{2 a} e^{-\frac{b}{2 a} x} \right) + b e^{-\frac{b}{2 a} x} = \left( -b + b \right) e^{-\frac{b}{2 a} x} = 0.</math>
 
Therefore we are left with
 
:<math> a y_1 v'' = 0. \;</math>
 
Since <math>a</math> is assumed non-zero and <math>y_1(x)</math> is an [[exponential function]] and thus never equal to zero we simply have
 
:<math> v'' = 0. \;</math>
 
This can be integrated twice to yield
 
:<math> v(x) = c_1 x + c_2 \;</math>
 
where <math>c_1, c_2</math> are constants of integration. We now can write our second solution as
 
:<math> y_2(x) = ( c_1 x + c_2 ) y_1(x) = c_1 x y_1(x) + c_2 y_1(x). \;</math>
 
Since the second term in <math>y_2(x)</math> is a scalar multiple of the first solution (and thus linearly dependent) we can drop that term, yielding a final solution of
 
:<math> y_2(x) = x y_1(x) = x e^{-\frac{b}{2 a} x}.</math>
 
Finally, we can prove that the second solution <math>y_2(x)</math> found via this method is linearly independent of the first solution by calculating the [[Wronskian]]
 
:<math>W(y_1,y_2)(x) = \begin{vmatrix} y_1 & x y_1 \\ y_1' & y_1 + x y_1' \end{vmatrix} = y_1 ( y_1 + x y_1' ) - x y_1 y_1' = y_1^{2} + x y_1 y_1' - x y_1 y_1' = y_1^{2} = e^{-\frac{b}{a}x} \neq 0.</math>
 
Thus <math>y_2(x)</math> is the second linearly independent solution we were looking for.
 
===General method===
 
Given the general non-homogeneous linear differential equation
 
:<math>y''+p(t)y'+q(t)y=r(t)\,</math>
 
and a single solution <math>y_1(t)</math> of the homogeneous equation [<math>r(t)=0</math>], let us try a solution of the full non-homogeneous equation in the form:
 
:<math>y_2=v(t)y_1(t)\,</math>
 
where <math>v(t)</math> is an arbitrary function.  Thus
 
:<math>y_2'=v'(t)y_1(t)+v(t)y_1'(t)\,</math>
 
and
 
:<math>y_2''=v''(t)y_1(t)+2v'(t)y_1'(t)+v(t)y_1''(t).\,</math>
 
If these are substituted for <math>y</math>, <math>y'</math>, and <math>y''</math> in the differential equation, then
 
:<math>y_1(t)\,v''+(2y_1'(t)+p(t)y_1(t))\,v'+(y_1''(t)+p(t)y_1'(t)+q(t)y_1(t))\,v=r(t).</math>
 
Since <math>y_1(t)</math> is a solution of the original homogeneous differential equation, <math>y_1''(t)+p(t)y_1'(t)+q(t)y_1(t)=0</math>, so we can reduce to
 
:<math>y_1(t)\,v''+(2y_1'(t)+p(t)y_1(t))\,v'=r(t)</math>
 
which is a first-order differential equation for <math>v'(t)</math> (reduction of order).  Divide by <math>y_1(t)</math>, obtaining
 
:<math>v''+\left(\frac{2y_1'(t)}{y_1(t)}+p(t)\right)\,v'=\frac{r(t)}{y_1(t)}</math>.
 
Integrating factor: <math>\mu(t)=e^{\int(\frac{2y_1'(t)}{y_1(t)}+p(t))dt}=y_1^2(t)e^{\int p(t) dt}</math>.
 
Multiplying the differential equation with the integrating factor <math>\mu(t)</math>, the equation for <math>v(t)</math> can be reduced to
:<math>\frac{d}{dt}(v'(t) y_1^2(t) e^{\int p(t) dt})=y_1(t)r(t)e^{\int p(t) dt}</math>.
 
After integrating the last equation, <math>v'(t)</math> is found, containing one constant of integration. Then, integrate <math>v'(t)</math> to find the full solution of the original non-homogeneous second-order equation, exhibiting two constants of integration as it should:
 
:<math>y_2(t)=v(t)y_1(t)\, </math>.
 
==See also==
 
* [[Variation of parameters]]
 
==References==
* W. E. Boyce and R. C. DiPrima, ''Elementary Differential Equations and Boundary Value Problems (8th edition)'', John Wiley & Sons, Inc., 2005. ISBN 0-471-43338-1.
* {{cite book
| last = Teschl
| given = Gerald
|authorlink=Gerald Teschl
| title = Ordinary Differential Equations and Dynamical Systems
| publisher=[[American Mathematical Society]]
| place = [[Providence, Rhode Island|Providence]]
| year = 2012
| isbn = 978-0-8218-8328-0
| url = http://www.mat.univie.ac.at/~gerald/ftp/book-ode/}}
* Eric W. Weisstein, ''[http://mathworld.wolfram.com/Second-OrderOrdinaryDifferentialEquationSecondSolution.html Second-Order Ordinary Differential Equation Second Solution]'', From MathWorld—A Wolfram Web Resource.
 
[[Category:Ordinary differential equations]]

Latest revision as of 17:00, 5 November 2013

Reduction of order is a technique in mathematics for solving second-order linear ordinary differential equations. It is employed when one solution y1(x) is known and a second linearly independent solution y2(x) is desired. The method also applies to n-th order equations. In this case the ansatz will yield a (n-1)-th order equation for v.

Second-order linear ordinary differential equations

An Example

Consider the general homogeneous second-order linear constant coefficient ODE

ay(x)+by(x)+cy(x)=0,

where a,b,c are real non-zero coefficients, Furthermore, assume that the associated characteristic equation

aλ2+bλ+c=0

has repeated roots (i.e. the discriminant, b24ac, vanishes). Thus we have

λ1=λ2=b2a.

Thus our one solution to the ODE is

y1(x)=eb2ax.

To find a second solution we take as a guess

y2(x)=v(x)y1(x)

where v(x) is an unknown function to be determined. Since y2(x) must satisfy the original ODE, we substitute it back in to get

a(vy1+2vy1+vy1)+b(vy1+vy1)+cvy1=0.

Rearranging this equation in terms of the derivatives of v(x) we get

(ay1)v+(2ay1+by1)v+(ay1+by1+cy1)v=0.

Since we know that y1(x) is a solution to the original problem, the coefficient of the last term is equal to zero. Furthermore, substituting y1(x) into the second term's coefficient yields (for that coefficient)

2a(b2aeb2ax)+beb2ax=(b+b)eb2ax=0.

Therefore we are left with

ay1v=0.

Since a is assumed non-zero and y1(x) is an exponential function and thus never equal to zero we simply have

v=0.

This can be integrated twice to yield

v(x)=c1x+c2

where c1,c2 are constants of integration. We now can write our second solution as

y2(x)=(c1x+c2)y1(x)=c1xy1(x)+c2y1(x).

Since the second term in y2(x) is a scalar multiple of the first solution (and thus linearly dependent) we can drop that term, yielding a final solution of

y2(x)=xy1(x)=xeb2ax.

Finally, we can prove that the second solution y2(x) found via this method is linearly independent of the first solution by calculating the Wronskian

W(y1,y2)(x)=|y1xy1y1y1+xy1|=y1(y1+xy1)xy1y1=y12+xy1y1xy1y1=y12=ebax0.

Thus y2(x) is the second linearly independent solution we were looking for.

General method

Given the general non-homogeneous linear differential equation

y+p(t)y+q(t)y=r(t)

and a single solution y1(t) of the homogeneous equation [r(t)=0], let us try a solution of the full non-homogeneous equation in the form:

y2=v(t)y1(t)

where v(t) is an arbitrary function. Thus

y2=v(t)y1(t)+v(t)y1(t)

and

y2=v(t)y1(t)+2v(t)y1(t)+v(t)y1(t).

If these are substituted for y, y, and y in the differential equation, then

y1(t)v+(2y1(t)+p(t)y1(t))v+(y1(t)+p(t)y1(t)+q(t)y1(t))v=r(t).

Since y1(t) is a solution of the original homogeneous differential equation, y1(t)+p(t)y1(t)+q(t)y1(t)=0, so we can reduce to

y1(t)v+(2y1(t)+p(t)y1(t))v=r(t)

which is a first-order differential equation for v(t) (reduction of order). Divide by y1(t), obtaining

v+(2y1(t)y1(t)+p(t))v=r(t)y1(t).

Integrating factor: μ(t)=e(2y1(t)y1(t)+p(t))dt=y12(t)ep(t)dt.

Multiplying the differential equation with the integrating factor μ(t), the equation for v(t) can be reduced to

ddt(v(t)y12(t)ep(t)dt)=y1(t)r(t)ep(t)dt.

After integrating the last equation, v(t) is found, containing one constant of integration. Then, integrate v(t) to find the full solution of the original non-homogeneous second-order equation, exhibiting two constants of integration as it should:

y2(t)=v(t)y1(t).

See also

References