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Mathematics 18 Online
OpenStudy (usukidoll):

http://math.stackexchange.com/questions/864114/find-a-solution-to-a-linear-system-using-the-d-operator-and-method-of-eliminatio

OpenStudy (usukidoll):

@thomaster this is from differential equations ... using the D operator and method of elimination. The link has my attempt and LATEX.

OpenStudy (usukidoll):

@ganeshie8

ganeshie8 (ganeshie8):

say \(\large p(D) = D^2 + 2D+1\) \[\large (D^2+2D+1)x_1 = e^{\alpha t}\] \[\large Y_p = \dfrac{ e^{at}}{p(\alpha )}\]

ganeshie8 (ganeshie8):

you can plugin \(\alpha = 0\) right ?

OpenStudy (phi):

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 \[ x_p = 1 \]

OpenStudy (usukidoll):

@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

OpenStudy (usukidoll):

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 ??!?!!??!

OpenStudy (usukidoll):

unless? 0+2(0) + A(1) = 1 A = 1?!?!?!

OpenStudy (usukidoll):

ugh this one step... man :(... I know the rest... what is going on here :(

OpenStudy (usukidoll):

@perl

OpenStudy (perl):

shoot, I would have to read up on this,do you have any books online for this

OpenStudy (usukidoll):

^ nooooooooooooooooooo :(.

OpenStudy (usukidoll):

this one step oh man T____T! @ganeshie8 ahhhhhhhhhhh save me

ganeshie8 (ganeshie8):

yes 1 satisfies the DE, right ?

OpenStudy (anonymous):

I think \(Y_p = 1\)

ganeshie8 (ganeshie8):

\(\large (D^2+2D+1)x_1 = 1 = e^{0 t} \) \(\large Y_p = \dfrac{e^{\alpha t}}{P(\alpha) } = \dfrac{e^{0t}}{0^2 + 2(0) + 1} = 1 \)

OpenStudy (usukidoll):

.. where alpha = 0 and then subsitute to get 1? I'm confused x.x

ganeshie8 (ganeshie8):

Recall the substitution rule : \(\large D^n e^{at} = a^n e^{at}\)

OpenStudy (usukidoll):

:/ but I don't see any e^alpha t ' s in my problem... only the polynomial one

ganeshie8 (ganeshie8):

your problem is a special case when a = 0

OpenStudy (anonymous):

\[ 1 = 1^t = (e^{0})^{t} = e^{0t} \]

OpenStudy (anonymous):

Though, are you even familiar with this method of solving?

OpenStudy (usukidoll):

maybe not... I'm trying to self study xD

OpenStudy (usukidoll):

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

ganeshie8 (ganeshie8):

\(\large D^n e^{at} = a^n e^{at} \) since \(D\) is a linear operator, \(\large P(D) e^{at} = P(a) e^{at} \) do we agree on this ?

ganeshie8 (ganeshie8):

P(D) is just a polynomial in D

OpenStudy (usukidoll):

yeah

ganeshie8 (ganeshie8):

then its easy for you to find a particular solution for below DE : \(P(D) x_1 = e^{at}\)

ganeshie8 (ganeshie8):

Keep in mind, your original DE is a special case of this : \(P(D) x_1 = 1\)

ganeshie8 (ganeshie8):

lets find the particular solution of \(P(D) x_1 = e^{at}\)

OpenStudy (usukidoll):

which is \[(D^2+2D+1) x_1 = 1\] for the special case right??

ganeshie8 (ganeshie8):

yess

ganeshie8 (ganeshie8):

let me pull up my notes..

ganeshie8 (ganeshie8):

Theorem : For the DE : \(P(D) x_1 = e^{at}\) , \(Y_p = \dfrac{e^{at}}{P(a)}\) lets prove this..

OpenStudy (usukidoll):

more proving D:,,,,ahhhhhhhhhh

ganeshie8 (ganeshie8):

its more of like verifying, than a proof - just plugin \(Y_p\) into the DE and see if it satisfies

OpenStudy (usukidoll):

so we need to plug in that monster into the equation?

ganeshie8 (ganeshie8):

Proof : \(P(D) x_1 = e^{at}\) plugin \(Y_p\) into the equation : \(P(D) Y_p = e^{at}\)

ganeshie8 (ganeshie8):

\(P(D) \dfrac{e^{at}}{P(a)} = e^{at}\)

ganeshie8 (ganeshie8):

but earlier, we agreed on this : \(P(D) e^{at} = P(a) e^{at}\)

ganeshie8 (ganeshie8):

\(P(D) \dfrac{e^{at}}{P(a)} = e^{at}\) becomes \(P(a) \dfrac{e^{at}}{P(a)} = e^{at}\)

ganeshie8 (ganeshie8):

Clearly left and right balances out

ganeshie8 (ganeshie8):

thats the end of proof.

OpenStudy (usukidoll):

sigh if only proofs were that easy... i mean I know some but ... can't get the ideas flowing

ganeshie8 (ganeshie8):

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 :)

OpenStudy (usukidoll):

uh huh .__.

OpenStudy (usukidoll):

still hate proofs.. after I took the course...hate it even more x.x

OpenStudy (usukidoll):

well I know 5.5 out of 8 chapters at least...just trying to figure out what I'm not getting x.x

ganeshie8 (ganeshie8):

lol proofs won't come in exams i guess... you only get specific, clear, nice looking problems

OpenStudy (perl):

@ganeshie8 thankyou for that link, i will be watching videos (easier than reading a 300 page textbook ;)

OpenStudy (phi):

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 \[ x= x_h+x_p= c_1 e^{-t}+c_2te^{-t}+1\]

OpenStudy (phi):

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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