Question to follow..
Two questions. 1) When calculating the instantaneous change in f(x,y), why can we not sum the partial derivatives as such (excuse notation for d as there is no partial derivative d I can see in the latex): \[df/dz = df/dx + df/dy \] ? Why does the above not work? 2) I am having trouble with conceptual understanding of derivation of the tangent plane. Could someone please check if this is correct: http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/2.-partial-derivatives/part-a-functions-of-two-variables-tangent-approximation-and-optimization/session-27-approximation-formula/MIT18_02SC_MNotes_ta2_3.pdf (equation 3). How is equation 3 derive from the prior equation? How is (w-w0) transferred like that? Thanks
I truly wish I could help you but I'm not sure where to start with this Q. Try tagging people?
@geerky42
Thanks geerky won't let me reply to you there. I appreciate your help anyway.
@freckles @amistre64 @ganeshie8
@zepdrix Good luck, unknownunknown
@triciaal
@UsukiDoll I'm sure you would like to help @unknownunknown .
geerky42, without looking at the math, just simple algebra. Wouldn't you agree equation 3 can't follow from the previous one?
Surely it would be -(w-w0) instead of (w-w0)
yeah I agree.
it makes a confusing concept more confusing =(
Hi Usuki, thanks for coming.
@Preetha @amistre64 @UnkleRhaukus @zepdrix @Luigi0210
\[A(x-x_0)+B(y-y_0)+C(w-w_0)=0\]where \(C\neq0\): \[\frac AC(x-x_0)+\frac BC(y-y_0)+(w-w_0)=0\\ \frac AC(x-x_0)+\frac BC(y-y_0)=-(w-w_0)\] with \(a=A/C\), \(b=B/C\) \[a(x-x_0)+b(y-y_0)=-(w-w_0)\\ -w+w_0 = a(x-x_0)+b(y-y_0)\] which is not the same as (3)
Yep, and then it goes on to make a conclusion which I must accept for further study.
hmm, confusing indeed
Just out of curiosity, do you have any idea why we can't simply add the partial derivatives together, to get the partial derivative of the overall function? Wouldn't the change in the xz plane and the yz plane by definition be the overall change?
Do you mean this? \[df(x,y, \dots) = \frac{\partial f}{\partial x}dx+\frac{\partial f}{\partial y}dy+\cdots\]
Yes. Why doesn't df/dz = df/dx + df/dy only?
\[\frac{df(x,y)}{dz} = \frac{\partial f}{\partial x}\frac{dx}{dz}+\frac{\partial f}{\partial y}\frac{dy}{dz}\]
NB these are not the same a fractions.
Why is it necessary there to differentiate \[ \frac{ dx }{ dz }\] in addition to \[\frac{ \partial f }{ \partial x }\] Is it applying the chain rule? My understanding is the partial derivative is already calculating the change in x, and also for y, isn't that sufficient without dx/dz and dy/dz?
By the way, defining f(x,y) = z
Maybe an example will help \[z(x,y) = x^2+y^3\] \[\frac\partial{\partial x} z = 2x\\ \frac\partial{\partial y}z =3y^2\] so \[dz = 2x\cdot dx+3y^2\cdot dy\]
Hmm I see. So why is it not \[\frac{ \partial }{ \partial x } z = 2x dx\] already included there in the partial differentiation, since we are differentiating x right?
\[z(x,y) = x^2+y^3\] so \[\frac{\partial z}{\partial x}=2x\] this is equivalent to \[{\partial z}=2x \cdot {\partial x}\]
the infinitesimals have to balance
Ohh yes, thank you. So here for example: http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/2.-partial-derivatives/part-a-functions-of-two-variables-tangent-approximation-and-optimization/session-27-approximation-formula/MIT18_02SC_MNotes_ta4.pdf The first equation (6), my understanding is it's difficult to get an exact value when differentiating, but why is that? Whatever dx is, can we not just multiply it like you did now, to get dw? Why must the change in x be different to dx here? Sorry for being so precise, I just want to make sure I understand this correctly before moving on.
When the difference is finite (not infinitesimal)\[\Delta f(x,y, \dots) \approx \frac{\partial f}{\partial x}\Delta x+\frac{\partial f}{\partial y}\Delta y+\cdots\] because the \(\Delta \) terms are too large (grainy)
the equality in only met in the instantaneous case; when the difference are smooth enough to be approximated by a straight line, i.e infinitesimals
So do we only use the approximation formula because we are unsure if the function is smooth? If the function is smooth, could we take the limit of x here and use equality instead of approximation?
x and y *
i think so
Makes sense, thanks very much! Now if only that equation (3) made sense.. I wish they'd fix the errors there.
for a simple straight line y = mx dy = m dx ie dy/dx = m ∆y = m ∆x ie ∆y/∆x = m
but then again ,geometry would perhaps be simpler than calculus for straight lines, --- but they should give the same results
What I don't get here, is for A(x-x0) + B(y-y0) + C(z-z0), these A,B,C are points right? And yet they're treated as a slope, which we'd need two points for.
Or I see they're the components of the Natural, but how would the instantaneous change in a perpendicular direction be of use?
Normal*
i think \(A,B,C\) the slopes in each of the directions
So for any plane, are the components of the normal equivalent to the slopes of that plane?
|dw:1433150445307:dw|
the normals point perpendicularly out from a plane |dw:1433150882524:dw|
such that the slope of the plane, and slope of normals are inverse (and opposite)
|dw:1433151130798:dw|
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