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Mathematics 18 Online
OpenStudy (stamp):

[CALCULUS III—DIFFERENTIATION] Given z(x, y), express ∂z/∂t if given x(s, t) and y(s, t); figure inside

OpenStudy (stamp):

\[z=x\ sin(y/x)\]\[x=e^{s+t},\ y=e^{s-t}\] express ∂z/∂t using the chain rule.

OpenStudy (anonymous):

ok, this doesn't look too bad.

OpenStudy (anonymous):

hmmm...can't we just find dz/dx and dx/dt without needing dy/dt?

OpenStudy (anonymous):

Partials, that is.

OpenStudy (stamp):

I am confused, I understand it when it is dz/dt but I feel ∂z/∂t requires different consideration.

OpenStudy (anonymous):

Partial derivative chain rule. \[ \frac{\partial z}{\partial t} = \frac{\partial z}{\partial x} \frac{\partial x}{\partial t} +\frac{\partial z}{\partial y} \frac{\partial y}{\partial t} \]

OpenStudy (stamp):

I recall the ∂z/∂x and ∂z/∂y from earlier. So I need to find: ∂x/∂t and ∂y/∂t

OpenStudy (anonymous):

lemme rephrase that. yes....you need all partials...my mistake.

OpenStudy (stamp):

Does ∂x/∂t = dx/dt in this situation?

OpenStudy (anonymous):

It's a partial derivative in this case because x also varies with t.

OpenStudy (anonymous):

With s, sorry

OpenStudy (stamp):

A wolfram inquiry provides that dx/dt = ∂x/∂t. I am not saying this applies to all cases, but when referring to e^(s+t) ∂t = dt

OpenStudy (stamp):

and ∂t for y is -e^(s-t)

OpenStudy (anonymous):

It's a partial derivative. That means you treat \(s\) as a constant and differentiate with respect to \(t\).

OpenStudy (stamp):

I understand partial derivatives, that is how I was able to evaluate it and make the observation dt = ∂t. Just verifying the evaluation with yall

OpenStudy (stamp):

I am going to apply the evaluations to @wio 's form for ∂z/∂t

OpenStudy (stamp):

\[∂z/∂t=\frac{-y\ cos(y/x)+x\ sin(y/x)}{x}e^{s+t}+-e^{s-t}cos(y/x)\] Can anybody proficient with wolfram verify this via a wolfram inquiry? @wio

OpenStudy (anonymous):

I really need a new laptop...it's acting funny...and slow. But I just had it cleaned and debugged. Too many programs makig it run too slow.

OpenStudy (anonymous):

It's too complex for wolfram.

OpenStudy (anonymous):

Check each of the partials independently. If you multiply and add without extra simplyfying there shouldn't be error.

OpenStudy (anonymous):

I got the result on paper that you have there, stamp. But that doesn't mean much...lol

OpenStudy (anonymous):

I think I am going to steal my wife's laptop..it's much faster.

OpenStudy (anonymous):

Here's what I got. I believe it is the same thing as yours....can't tell because my laptop has major issues.

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