4-6_math312
TRANSCRIPT
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Previous Work Variation of Parameters Conclusion
MATH 312
Section 4.6: Variation of Parameters
Prof. Jonathan Duncan
Walla Walla College
Spring Quarter, 2007
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Outline
1 Previous Work
2 Variation of Parameters
3 Conclusion
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Previous Work Variation of Parameters Conclusion
Why we Need Another Method
We now have a procedure for solving some linear differentialequations with constant coefficients, but it is far from complete.
Example
The following differential equations can not be solved byannihilators and variation of parameter (why not?):
y + y = cos2 x
x2y + xy + x2 1
4 = x
34
2y + 2y + y = 4x
To solve such equations, we turn to the methods used in solving 1storder equations.
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Previous Work Variation of Parameters Conclusion
Variation of Parameters with 1st Order DEs
When solving a first order non-homogeneous linear differentialequation, we used a method called variation of parameter to find aparticular solution yp.
Variation of Parameter
The first order linear differential equation dydx + P(x)y = f(x) hada general solution y = yc + yp where yc is the general solution tothe associated homogeneous equation. We found that:
yp = e
RP(x) dx
e
RP(x) dx
f(x) dx
Note:
The assumption with which we started is that yp(x) = u(x)yc(x).
How does this generalize to 2nd order DEs?
P i W k V i i f P C l i
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Previous Work Variation of Parameters Conclusion
2nd Order Variation of Parameters
With second order differential equations, yc is a linear combinationof two linearly independent functions.
Variation of Parameter
The second order differential equationd2ydx2
+ P(x)dydx
+ Q(x)y = f(x) has a general solution y = yc + ypwhere yc = C1y1 + C2y2 is the solution to the associatedhomogeneous equation, and yp is a particular solution.
Note:
Since we now have two linearly independent solutions y1 and y2going into yc, we assume that yp(x) = u1(x)y1(x) + u2(x)y2(x) isa combination of both.
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Variation of Parameters Formula
In order to make progress, we must differentiate yp and plug it intoy + P(x)y + Q(x)y = f(x).
yp = u1y1 + u2y2
yp = u1y
1 + u
1y1 + u2y
2 + u
2y2
yp = u1y
1 + 2u
1y
1 + u
1y1 + u2y
2 + 2u
2y
2 + u
2y2
ddx
u1y1 + u
2y2
+ P(u1y1 + u
2y2) + u
1y
1 + u
2y
2 = f(x)
Previous Work Variation of Parameters Conclusion
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Continued Derivation. . .
We now choose u1 and u2 so that u
1y1 + u
2y2 = 0.
u1y1 + u
2y2 = 0
u
1y
1+ u
2y
2= f(x)
u1 =
0 y2f(x) y2
y1 y2y1 y2
u2 =
y1 0y1 f(x)
y1 y2y1 y2
u1 =y2f(x)W(y1, y2)
u2 =y1f(x)
W(y1, y2)
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Previous Work Variation of Parameters Conclusion
2nd Order Examples
We now apply this formula to the examples we saw earlier.
Example
Solve the differential equation y + y = cos2 x.
Example
Solve the differential equation x2y + xy +x2 14y
= x
32 given
that y1 = x
12 cos x and y2 = x
12 sin x.
Example
Solve the differential equation 2y + 2y + y = 4x.
Previous Work Variation of Parameters Conclusion
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Previous Work Variation of Parameters Conclusion
Generalizing to Higher Order
This method works for second order linear differential equations,but can it be extended to higher order equations?
Variation of Parameters for Higher OrderIfy1 , y2 , . . . ,yn1 are a fundamental set of solutions to the homogeneous equation associated to
an(x)y(n) + an1(x)y(n1) + + a1(x)y + a0(x) = g(x)
Then, the particular solution is:yp = u1y1 + u2y2 + + unyn
where the uis are given by:
u
i
=
y1 y2 0 yny1 y
2 0 y
n
.
.
.
.
.
.. .
....
. ..
.
.
.
y(i1)1 y
(i1)2 f(x) y
(i1)n
.
.
.
.
.
.. .
....
. ..
.
.
.
y(n1)1 y
(n1)2 0 y
(n1)n
W(y1 , y2 , . . . , yn)
Previous Work Variation of Parameters Conclusion
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Previous Work Variation of Parameters Conclusion
Important Concepts
Things to Remember from Section 4.6
1 Using variation of parameters to solve linear differential
equations
2 The variation of parameter formula for second order lineardifferential equations
3 Generalization of variation of parameter to higher order lineardifferential equations