Difference between revisions of "Reduction of the Order"
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| + | '''Reduction of order''' is a technique in mathematics for solving second-order linear ordinary differential equations. It is employed when one solution <math>y_1(x)</math> is known and a second 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 an (''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 ordinary differential equation. (ODE) | ||
| + | |||
| + | :<math> a y''(x) + b y'(x) + c y(x) = 0,</math> | ||
| + | |||
| + | where <math>a, b, c</math> are real non-zero coefficients. Two linearly independent solutions for this ODE can be straightforwardly found using characteristic equations except for the case when the discriminant, <math>b^2 - 4 a c</math>, vanishes. In this case, | ||
| + | |||
| + | :<math> a y''(x) + b y'(x) + \frac{b^2}{4a} y(x) = 0,</math> | ||
| + | |||
| + | from which only one solution, | ||
| + | |||
| + | :<math>y_1(x) = e^{-\frac{b}{2a} x},</math> | ||
| + | |||
| + | can be found using its characteristic equation. | ||
| + | |||
| + | The method of reduction of order is used to obtain a second linearly independent solution to this differential equation using our one known solution. 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) + \frac{b^2}{4a} 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' + \frac{b^2}{4a} 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}{2a} e^{-\frac{b}{2a} x} \right) + b e^{-\frac{b}{2a} x} = \left( -b + b \right) e^{-\frac{b}{2a} 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 always non-zero), we 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> | ||
| + | |||
| + | The integrating factor is <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 by the integrating factor <math>\mu(t)</math>, the equation for <math>v(t)</math> can be reduced to | ||
| + | :<math>\frac{d}{dt}\left(v'(t) y_1^2(t) e^{\int p(t) dt}\right) = 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> | ||
| + | |||
| + | |||
| + | ==Resources== | ||
* [https://tutorial.math.lamar.edu/Classes/DE/ReductionofOrder.aspx Reduction of the Order Notes]. Produced by Paul Dawkins, Lamar University | * [https://tutorial.math.lamar.edu/Classes/DE/ReductionofOrder.aspx Reduction of the Order Notes]. Produced by Paul Dawkins, Lamar University | ||
| + | |||
| + | == Licensing == | ||
| + | Content obtained and/or adapted from: | ||
| + | * [https://en.wikipedia.org/wiki/Reduction_of_order Reduction of order, Wikipedia] under a CC BY-SA license | ||
Latest revision as of 22:22, 5 November 2021
Reduction of order is a technique in mathematics for solving second-order linear ordinary differential equations. It is employed when one solution Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_1(x)} is known and a second linearly independent solution Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_2(x)} is desired. The method also applies to n-th order equations. In this case the ansatz will yield an (n−1)-th order equation for .
Contents
Second-order linear ordinary differential equations
An example
Consider the general, homogeneous, second-order linear constant coefficient ordinary differential equation. (ODE)
where are real non-zero coefficients. Two linearly independent solutions for this ODE can be straightforwardly found using characteristic equations except for the case when the discriminant, , vanishes. In this case,
from which only one solution,
can be found using its characteristic equation.
The method of reduction of order is used to obtain a second linearly independent solution to this differential equation using our one known solution. To find a second solution we take as a guess
where is an unknown function to be determined. Since must satisfy the original ODE, we substitute it back in to get
Rearranging this equation in terms of the derivatives of we get
Since we know that is a solution to the original problem, the coefficient of the last term is equal to zero. Furthermore, substituting into the second term's coefficient yields (for that coefficient)
Therefore, we are left with
Since is assumed non-zero and is an exponential function (and thus always non-zero), we have
This can be integrated twice to yield
where are constants of integration. We now can write our second solution as
Since the second term in is a scalar multiple of the first solution (and thus linearly dependent) we can drop that term, yielding a final solution of
Finally, we can prove that the second solution found via this method is linearly independent of the first solution by calculating the Wronskian
Thus is the second linearly independent solution we were looking for.
General method
Given the general non-homogeneous linear differential equation
and a single solution of the homogeneous equation [], let us try a solution of the full non-homogeneous equation in the form:
where is an arbitrary function. Thus
and
If these are substituted for , , and in the differential equation, then
Since Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_1(t)} is a solution of the original homogeneous differential equation, Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_1''(t)+p(t)y_1'(t)+q(t)y_1(t)=0} , so we can reduce to
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_1(t)\,v'' + (2y_1'(t)+p(t)y_1(t))\,v' = r(t)}
which is a first-order differential equation for Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v'(t)} (reduction of order). Divide by Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_1(t)} , obtaining
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v''+\left(\frac{2y_1'(t)}{y_1(t)}+p(t)\right)\,v'=\frac{r(t)}{y_1(t)}.}
The integrating factor is Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \mu(t)=e^{\int(\frac{2y_1'(t)}{y_1(t)}+p(t))dt}=y_1^2(t)e^{\int p(t) dt}} .
Multiplying the differential equation by the integrating factor Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \mu(t)} , the equation for Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v(t)} can be reduced to
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \frac{d}{dt}\left(v'(t) y_1^2(t) e^{\int p(t) dt}\right) = y_1(t)r(t)e^{\int p(t) dt}.}
After integrating the last equation, Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v'(t)} is found, containing one constant of integration. Then, integrate Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v'(t)} to find the full solution of the original non-homogeneous second-order equation, exhibiting two constants of integration as it should:
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y_2(t) = v(t)y_1(t).}
Resources
- Reduction of the Order Notes. Produced by Paul Dawkins, Lamar University
Licensing
Content obtained and/or adapted from:
- Reduction of order, Wikipedia under a CC BY-SA license