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Mathematics 18 Online
OpenStudy (shivaniits):

observing linearity in differential equations..!! any comment would be appreciated..

OpenStudy (shivaniits):

OpenStudy (shivaniits):

@hartnn ..could you please help me out..?

OpenStudy (shivaniits):

@ganeshie8 , @dan815 ,@radar ..please help me out..:(

OpenStudy (shivaniits):

@radar @rajathsbhat @Ryaan @divu.mkr @Compassionate @texaschic101 @demitris @experimentX @UnkleRhaukus @TuringTest ..anyone please help..!!

OpenStudy (shivaniits):

basically y2 is meant to be a solution to homogeneous equation i.e the same equation which we have used to find out the solution as y1 but R.H.S equated to zero sources: MIT 6.02X circuit and electronics math review

OpenStudy (shivaniits):

ok i understood what you meant here that why won't we take both solutions as non homogeneous one..i will try to explain as i thought should be the reason if \[f(x_1,y_1)=4\] and \[f(x_2,y_2)=4\] then adding them to prove linearity would fail on the very first step because \[f(x_1,y_1)+f(x_2,y_2)=4+4=8\] so now the RHS has turned into 8 instead of 4 but if we do like this with one y2 homogeneous solution if \[f(x_1,y_1)=4\] and \[f(x_2,y_2)=0\] y2 being homogeneous one the we have\[f(x_1,y_1)+f(x_2,y_2)=4+0=4\] now the RHS is maintained to 4 hence we have successfully made upto first step but yeah taking both solution as non homogeneous could be the case when RHS is already 0

OpenStudy (shivaniits):

this was what explained in both my text book and video lectures..i could not think of another way round..!!

OpenStudy (loser66):

So, I don't know, Sorry for being helpless

OpenStudy (shivaniits):

nevermind..its really great help that you commented..atleast you put forward your opinion thanks..!!

OpenStudy (amistre64):

f(x,y) = y' + x^2 - 4 i believe is affine due to the constant for example: f(x) = mx + b; f(y) = my + b f(x) + f(y) = m(x+y) + 2b [\(\ne\)] f(x+y) = m(x+y) +b

OpenStudy (amistre64):

but thats just a hunch ....

OpenStudy (shivaniits):

so we can't prove linearity by this method then..? we have to look for another method then..!

OpenStudy (amistre64):

homogenous solutions, when the constant is 0, are linear. I think its the constant that throws a monkey wrench into the works. which is why we tend to solve the =0 first then adapt that with variation of parameters and such

OpenStudy (amistre64):

\[y=\sum_0 c_nx^n\] \[y'=\sum_1 c_n~nx^{n-1}\] \[x^2+\sum_1 c_n~nx^{n-1}=4\] \[\sum_1 c_n~nx^{n-1}=4-x^2\] \[c_1+\sum_2 c_n~nx^{n-1}=4-x^2\] \[c_1+2c_2x^2+\sum_3 c_n~nx^{n-1}=4-x^2\] comparing coefficients .... \[c_1=4~:~c_2=-\frac 12\] tend to forget how to approach that from there ....

OpenStudy (amistre64):

y = c + 4x - x^3/3 is the general solution :)

OpenStudy (shivaniits):

that's really cool.. general approach on finding any solution for differential equation..!!

OpenStudy (shivaniits):

but still having doubts on proving linearity on basis of superposition principle..

OpenStudy (amistre64):

refresh me on what the superposition principle is

OpenStudy (amistre64):

if y1 and y2 are solutions then so is a linear combination

OpenStudy (shivaniits):

yes..

OpenStudy (amistre64):

and are you accounting for the arbitrary constants?

OpenStudy (amistre64):

in general, if we can determine the homogenous solution: y = yh = 0 we can use that to address the nonhomogenous solution such that: yp = A(x) yh y'p = A'(x) yh + A(x) y'h etc... springs to mind

OpenStudy (amistre64):

i believe that what the 4+0 is relating to in your previous comments

OpenStudy (amistre64):

y'h+x^2 = 0 y'h = -x^2 yh = -x^3/3 + C ; let C be some arbitrary function of x; f(x) and solve for a particular solution yp yp = -x^3/3 + f(x) y'p = -x2 + f'(x) insert into the orginal equation (-x2 + f'(x)) + x^2 = 4 -x2 + f'(x) + x^2 = 4 f'(x) = 4, f = 4x + C now by superpositions: y = yh + yp something like that i beleive

OpenStudy (shivaniits):

the y exactly proves the linearity by taking y=yh+yp it will definitely verify the superposition principle but will x follow along it ..i mean we can always put y=yp+yh to check for the linearity but can we verify along by taking x=xh+xp with y=yp+yh..will x also follow this symmetry ..? in the previous comment you have taken everywhere same x but if i start like this \[y_h \prime = -x_h^2\] \[y_p \prime=-x_p^2+f(x) \prime\] taking x as \[x_p for y_p\] and \[x_h for y_h\] then we can definitely superpostion y as=\[y_h+y_p\] but can we also superpostion x as=\[x_h+x_p\] won't this leave the additional factor of \[2.x_h.x_p\] in \[x^2=(x_p+x_h)^2=x_p^2+x_h^2+2.x_p.x_h\]

OpenStudy (shivaniits):

though many thanks for your effort..kudos..!!

OpenStudy (amistre64):

im not that adept to determine the validity of all that :)

OpenStudy (dan815):

what do u want help on?

OpenStudy (dan815):

how super position principle works?

OpenStudy (dan815):

when the effect of 2 impulses on a system can be measured by taking the measurement of each each individual impulse

OpenStudy (dan815):

that is the super position principle

OpenStudy (dan815):

you will see it most commonly in the effects of Gravitational Feilds, and Electric Feilds

OpenStudy (dan815):

Electric Potentials

OpenStudy (dan815):

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