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Mathematics 14 Online
OpenStudy (mendicant_bias):

Posting a Lagrange Multiplier question shortly.

OpenStudy (mendicant_bias):

\[\text{Use the method of Lagrange multipliers to find the extrema of}\]\[f(x,y)=(x+1)^2+(y-\frac{1}{5})^{2}\]

OpenStudy (mendicant_bias):

\[\triangledown f = 2(x-1)i+2(y-\frac{1}{5})j\]

ganeshie8 (ganeshie8):

do you also have a constraint ?

OpenStudy (mendicant_bias):

On the ellipse \[x^2+4y^2+2x-16y=-13\]

OpenStudy (mendicant_bias):

Brb.

OpenStudy (mendicant_bias):

(Changing computers in the library)

ganeshie8 (ganeshie8):

Okay there is a sign mismatch in your gradient check once

OpenStudy (mendicant_bias):

Alright, back online on the other PC.

OpenStudy (mendicant_bias):

\[\triangledown f=2(x+1)i+2(y-\frac{1}{5})j\]

OpenStudy (mendicant_bias):

\[\triangledown g = c = (2x+2)i+(8y-16)j\]

OpenStudy (mendicant_bias):

Whoops, equals c, not zero.

OpenStudy (mendicant_bias):

Alright, now I set the two up and solve a system of equations for points. This is, again, the thing that consistently messes me up the most, I suck at finding all the points, so help here above all is greatly welcomed. Going to take a shot now.

ganeshie8 (ganeshie8):

gradient vectors are parallel at extrema points : \[\nabla f = \lambda \nabla g\]

OpenStudy (mendicant_bias):

\[2(x+1)=2(x+1)\lambda \ \ \ (1)\]\[2(y-\frac{1}{5})=(8y-16)\lambda \ \ \ (2)\]

OpenStudy (mendicant_bias):

Alright, the first one seems super easy, at least finding some easy values. \[\lambda=1\]

ganeshie8 (ganeshie8):

maybe eliminate \(\lambda\) by dividing both equations

ganeshie8 (ganeshie8):

oh right didnt notice that haha!

OpenStudy (mendicant_bias):

But yeah, it's just getting every value necessary, I can always get a few, but I screw up properly grouping my x and y values into the appropriate points and such. Alright, I'm guessing I should maybe plug that lambda value into both eqns and then do something?

OpenStudy (mendicant_bias):

Plugging it into the second one, \[2(y-\frac{1}{5})=(8y-16) \]Can now just straightforward solve for y I think.

OpenStudy (mendicant_bias):

\[2y-\frac{2}{5}=8y-16; \ \ \ 6y=\frac{78}{80}\]

ganeshie8 (ganeshie8):

we missed a value in the start, you keep going we can go back in the end

OpenStudy (mendicant_bias):

^And that's the other thing, missing values. I need to figure out how to determine whether I've exhaustively checked for all values. Going to continue now, one sec.

ganeshie8 (ganeshie8):

how did u get 80 in the bottom ?

OpenStudy (mendicant_bias):

Oh, whoops, what was I thinking, my bad, supposed to be 5

OpenStudy (mendicant_bias):

\[6y=\frac{78}{5}; \ \ \ 3y=\frac{39}{5}\]

OpenStudy (mendicant_bias):

\[y=\frac{13}{5}\]

OpenStudy (dan815):

i am caught up hi guys

OpenStudy (mendicant_bias):

Hullo

ganeshie8 (ganeshie8):

yes use the constraint equation (ellipse) to find x value(s)

OpenStudy (mendicant_bias):

\[x^2+4y^2+2x-16y=-13\]

OpenStudy (dan815):

ah i see

OpenStudy (mendicant_bias):

\[x^2+4\bigg(\frac{13}{5}\bigg)^{2}+2x-16\bigg(\frac{13}{5}\bigg)=-13\]

OpenStudy (dan815):

standard equation

OpenStudy (dan815):

basically my friend you want to see how your function is changing along this new axis system which is your ellipse

OpenStudy (dan815):

you wan to find the maximum and minimum or extema of that slice place

OpenStudy (dan815):

lemme draw it, sec! i think it will all make sense why we would be parametrizing and seeing the directional gradient along it then

OpenStudy (dan815):

I dont mean to disturb you ganeshie just carry on ill draw around lol sorry!

ganeshie8 (ganeshie8):

i wanted to use some art in the start but i saw Mendicant already setup the equations... so i thought he/she already knows the geometric interpretation

OpenStudy (swissgirl):

dan is high ignore him

OpenStudy (mendicant_bias):

\[x^2+4\bigg(\frac{169}{25}\bigg)+2x-\frac{208}{5}=-13\]

OpenStudy (mendicant_bias):

Lol, well this looks atrocious.

ganeshie8 (ganeshie8):

wolfram it

OpenStudy (dan815):

|dw:1418191752943:dw|

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