http://math.stackexchange.com/questions/864114/find-a-solution-to-a-linear-system-using-the-d-operator-and-method-of-eliminatio
@thomaster this is from differential equations ... using the D operator and method of elimination. The link has my attempt and LATEX.
@ganeshie8
say \(\large p(D) = D^2 + 2D+1\) \[\large (D^2+2D+1)x_1 = e^{\alpha t}\] \[\large Y_p = \dfrac{ e^{at}}{p(\alpha )}\]
you can plugin \(\alpha = 0\) right ?
I would tweak this step \[ (D+7) \left((D−5)x_1+6x_2−1=0\right) \] to \[ (D+7)(D-5) x_1 + 6(D+7) x_2 - (D+7) 1 = 0 \] although we it looks like "multiplying", we are "applying an operator" so, in particular, (D+7) 1 means D 1 + 7*1 D 1 means take the derivative of 1 with respect to t. we get 0, and the result \[ (D+7)(D-5) x_1 + 6(D+7) x_2 - 7 = 0 \] you show a stand-alone D (which we must interpret as D applied to 1 i.e. D 1) but it might be more clear to be more explicit about what we are doing. For the particular solution, we try the ersatz solution xp = A in the differential equation \[ (D^2 +2D + 1) A = 1 \] or \[ D^2 A +2D A + A= 1 \] A is a constant, so D applied to A yields 0. we get \[ A = 1\] i.e. the particular solution is \[ x_p = 1 \]
@phi what is the ersatz solution? Are we doing something that's similar to the method of undetermined coefficients here? Because if Y_p = A then the first and second derivative would be 0
but where do I plug in the A when I'm doing the equation? I mean Y_p = A Y'_p and Y''_p = 0 0+2(0) + 1 = 1 ??!?!!??!
unless? 0+2(0) + A(1) = 1 A = 1?!?!?!
ugh this one step... man :(... I know the rest... what is going on here :(
@perl
shoot, I would have to read up on this,do you have any books online for this
^ nooooooooooooooooooo :(.
this one step oh man T____T! @ganeshie8 ahhhhhhhhhhh save me
yes 1 satisfies the DE, right ?
I think \(Y_p = 1\)
\(\large (D^2+2D+1)x_1 = 1 = e^{0 t} \) \(\large Y_p = \dfrac{e^{\alpha t}}{P(\alpha) } = \dfrac{e^{0t}}{0^2 + 2(0) + 1} = 1 \)
.. where alpha = 0 and then subsitute to get 1? I'm confused x.x
Recall the substitution rule : \(\large D^n e^{at} = a^n e^{at}\)
:/ but I don't see any e^alpha t ' s in my problem... only the polynomial one
your problem is a special case when a = 0
\[ 1 = 1^t = (e^{0})^{t} = e^{0t} \]
Though, are you even familiar with this method of solving?
maybe not... I'm trying to self study xD
but I have read over and over and followed the examples... and did the earlier problems... I got the right answers.. it was this particular problem that was nuts
\(\large D^n e^{at} = a^n e^{at} \) since \(D\) is a linear operator, \(\large P(D) e^{at} = P(a) e^{at} \) do we agree on this ?
P(D) is just a polynomial in D
yeah
then its easy for you to find a particular solution for below DE : \(P(D) x_1 = e^{at}\)
Keep in mind, your original DE is a special case of this : \(P(D) x_1 = 1\)
lets find the particular solution of \(P(D) x_1 = e^{at}\)
which is \[(D^2+2D+1) x_1 = 1\] for the special case right??
yess
let me pull up my notes..
Theorem : For the DE : \(P(D) x_1 = e^{at}\) , \(Y_p = \dfrac{e^{at}}{P(a)}\) lets prove this..
more proving D:,,,,ahhhhhhhhhh
its more of like verifying, than a proof - just plugin \(Y_p\) into the DE and see if it satisfies
so we need to plug in that monster into the equation?
Proof : \(P(D) x_1 = e^{at}\) plugin \(Y_p\) into the equation : \(P(D) Y_p = e^{at}\)
\(P(D) \dfrac{e^{at}}{P(a)} = e^{at}\)
but earlier, we agreed on this : \(P(D) e^{at} = P(a) e^{at}\)
\(P(D) \dfrac{e^{at}}{P(a)} = e^{at}\) becomes \(P(a) \dfrac{e^{at}}{P(a)} = e^{at}\)
Clearly left and right balances out
thats the end of proof.
sigh if only proofs were that easy... i mean I know some but ... can't get the ideas flowing
its called exponential input theorem, and most proofs in DEs are this easy... all the nasty proofs are pushed to analysis, so that DE stays light and easy :)
uh huh .__.
still hate proofs.. after I took the course...hate it even more x.x
well I know 5.5 out of 8 chapters at least...just trying to figure out what I'm not getting x.x
lol proofs won't come in exams i guess... you only get specific, clear, nice looking problems
this prof knows how to teach DEs efficiently : http://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures/lecture-13-finding-particular-sto-inhomogeneous-odes/
@ganeshie8 thankyou for that link, i will be watching videos (easier than reading a 300 page textbook ;)
oops, I meant ansatz solution (see http://en.wikipedia.org/wiki/Ansatz) basically, you guess the answer! and then verify it \[ (D^2+2D+1)x_1 = 1 \] In the above we assume the particular solution is \(x_1=A\) , where A is an unknown constant, and test: \[ (D^2+2D+1)A = 1 \\ D^2 A +2D A + A = 1\] as you know, D applied to A is 0, and we find \[ 0+0+A= 1 \\ A=1\] we conclude \(x_p=A=1\) and add that to the homogenous solution, which you found to be \[ x_h= c_1 e^{-t}+c_2te^{-t} \] so the total solution is \[ x= x_h+x_p= c_1 e^{-t}+c_2te^{-t}+1\]
In case it is not clear, if we have (D+1) A this means \[ \left(\frac{d}{dt} + 1\right) A \\ \frac{d}{dt}A + A \\ \frac{dA}{dt} + A\] when A is a constant, this simplifies to just A Treating the "operators" as algebraic polynomials might be confusing?
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