@rawr7548
Solve. 1. 3/y-1/4=1/y 2. 15/x+15/x+2=2
Okay ya
\(\large \dfrac{3}{y} - \dfrac{1}{4} = \dfrac{1}{y}\)
your first question is like this, rgiht ?
Yep
To solve means, you need to isolate the variable \(y\)
start by multiplying thru the entire equation by \(4y\)
^that gets rid of the denominator
\(\large \dfrac{3}{y} - \dfrac{1}{4} = \dfrac{1}{y}\) Multiply \(4y\) both sides : \(\large 4*3 - y = 4\) \(\large 12 - y = 4\)
solve \(y\)
Can you just show work and put the answer also
it would be easy if we can work together :) me showing u everything is not that efficient way lol
\(\large 12 - y = 4\) knw how to solve this one step equation ?
No
seems you just want the answer ?
I just want all the work and the answer
fair enough :) did u understand the work so far ?
Yes but please and actually lets skip that for now Can i have these first
Divide. 1. 12y^3+8y-3/3 2. (2x^2 +3x-20) divided (x+4) 3. (x^4-16) divided (x-2)
Simplify. 4. 1/x + 1 all over/ 1/x^2 - 1 5. x + 3/y all over/ x- 2/y^2 6. x/x-y all over/x^2/ x^2-y^2
Show work with the answer please? :)
lol I'm not going to do all these problems for u
if you want I'll help U do one problem. otherwise, bye bye
pick any one problem which you want me walk u through
@rawr7548
\(\large U = 0.5CV^2\)
\(\large \dfrac{U}{0.5V^2} = C\)
\(\large \dfrac{U}{\dfrac{1}{2}V^2} = C\)
Solve k = 0.5mv2 for v. \(\ \sf k = 0.5mv^2 \) I got \(\ \sf \sqrt{\dfrac{k}{1/2m}} = v \) \(\ \sf \dfrac{k}{m} \times \dfrac{2}{1} = \sqrt{2k/m} = v \)
looks good !
:O
@AkashdeepDeb
max value of \(f : (a+b)c\) subject to \(g : a^2+b^2+c^2=1\) At max/min values the gradient vectors of both functions are proportional : \(\nabla f = \lambda \nabla g\) \(\implies \langle c, c, a+b \rangle = \lambda \langle 2a, 2b, 2c\rangle\) so the equations to sovle are : \(c = 2a\lambda\) \(c = 2b\lambda\) \(a+b = 2c\lambda\) \(a^2+b^2+c^2=1\) solving above four equations gives : \(a = b = \dfrac{1}{2}\) \(c = \dfrac{1}{\sqrt{2}}\)
evaluate the function \((a+b)c\) at the point \((\frac{1}{2}, \frac{1}{2}, \frac{1}{\sqrt{2}})\)
\((\frac{1}{2}+ \frac{1}{2})* \frac{1}{\sqrt{2}}\)
\((\frac{2}{2})* \frac{1}{\sqrt{2}}\) \(\frac{1}{\sqrt{2}}\)
hehe. I am going crazy over all the latex I'm having to type now. T_T Thanks! :)
np :) good luck !!
@ParthKohli is very much familiar with this solution.... lets see if he has any ideas on doing this using number theory...
@ParthKohli here is the actual problem : http://assets.openstudy.com/updates/attachments/5375021ee4b0e27c43135f32-akashdeepdeb-1400177195036-screenshot20140515at9.55.44pm.png
Umm, OK. So in this problem, we'll introduce this thing which will help us to exploit the conditions. First note that the condition is given as \(a^2 + b^2 + c^2 =1.\) Rewrite it as \(a^2 + b^2 + c^2 - 1 = 0\). You can write \(a^2 + b^2 + c^2 - 1\) as \(\lambda \times (a^2 + b^2 + c^2 - 1)\) where \(\lambda \) is any real number. It doesn't matter which one because that expression is zero and you can multiply it by anything. You can write \(f(a,b,c) = (a + b)c\) as \((a + b)c + \lambda (a^2 + b^2 + c^2 - 1)\). For some stupid reason, the partial derivative of each of \(a,b,c\) must evaluate to zero.
I don't really remember the gradients technique. :P
by that I meant the partial derivative of this thing wrt each a, b, c would evaluate to zero.
ganeshie is lying though. I'm not familiar with this technique at all :P we discussed it once, and I suck at it.
lol no, i had reviewed so much stuff and learned a great deal on that day :) Akash wants some solution without using calculus i think... if it exists.... im also trying but it feels hopeless :(
I am fine with the multi calc proof. I understood all of what parth did up there ^ Then what?
then you'll get some simultaneous linear equations.
hmm, there are three equations and four variables? I think the fourth equation would be taking the partial derivative wrt \(\lambda\)
Partial derivative is different from taking a simple derivative yeah?
Yeah. You just assume that the others are constants.
What is the stupid reason btw ?
Ganesh knows the details, but it is just like how in a single-variable function, the maximum/minimum always has the slope of the tangent = 0 or derivative = 0.
So all the derivatives of f(a,b,c) must be zero, to maximize it?
Pretty much.
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