How Does Differentiation Relate to Limits and Approximations?

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Differentiation in multivariable calculus relates to limits and approximations through the definition of partial derivatives, which can be expressed using Taylor expansion. The term Δx_k represents small variations in the input variables, analogous to differentials, and is not calculated but understood as an infinitesimal change. The total differential, df, is significant in applications like thermodynamics, where it expresses changes in state variables. Legendre transformations play a crucial role in physics, particularly in changing variables in thermodynamic potentials. Understanding these concepts requires a solid foundation in calculus and multiple variables.
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I don't understand how
\frac{\partial{f}}{\partial{x_k}}(\vec{a}) = \lim_{\epsilon\rightarrow 0} \frac{f(a_1,...,a_k+\epsilon,...,a_n)-f(a_1,...,a_k,...,a_n)}{\epsilon}
can be equal to...
\Delta_k f = f(a_1,...,a_k + \epsilon,...,a_n)-f(a_1,...,a_k,...,a_n) \approx \Delta x_k \frac{\partial{f}}{\partial{x_k}}
and why is it approximately?

what does \Delta x_k really repersent? graphiclly and with an example.

why is

df = \sum \frac{\partial{f}}{\partial{x_i}} dx_i
using dx_i what does that graphicly represent? and what is Legendre transformation and what is its significance. Please try to explain (calc I-III, Linear algebra background)
 
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U messed up the tex code... :rolleyes:

At the first,it's simply the partial derivative's definition,though improperly written,while at the second,it's simply the first term (linear in differentials) of the Taylor expansion of a function of multiple variables.

Graphically,it's difficult to describe in words.Imagine a surface.The partial derivative wrt "x" at a point on the surface is nothing else but the tangent of the angle made by a tangent line in that point to the curve delimited by the Oxz plane and the surface and the Ox axis...Really disgusting...

Legendre transformations are fundamental in physics,yet a description of them cannot be given within a couple of lines.

Daniel.
 
I don't know what the Taylor expanision of a function of multiple variables means, can u elaborate? Still what is \Delta x_k how do u calculate that?
 
Phymath said:
I don't know what the Taylor expanision of a function of multiple variables means, can u elaborate? Still what is \Delta x_k how do u calculate that?



Then i'll have to advise you to read a calculus book on multiple variable calculus,where I'm sure you're going to find the Taylor series explained much better than i'd succed if i were to try to.
Those delta's are small variations,you do not calculate them by any mean,they're an analogus for the differentials.

Da
 
i see so is there an example u can give me that uses the total differential or where I'd need to? Such as in phyiscs...
 
Thermodynamics:
dS= \frac{dU}{T}+pdV+\mu dN+...

dS=(\frac{\partial S}{\partial U})_{V,N,...} dU +(\frac{\partial S}{\partial V})_{U,N,...} dV+(\frac{\partial S}{\partial N})_{U,V,...} dN+...

Daniel.
 
Phymath said:
I don't understand how
\frac{\partial{f}}{\partial{x_k}}(\vec{a}) = \lim_{\epsilon\rightarrow 0} \frac{f(a_1,...,a_k+\epsilon,...,a_n)-f(a_1,...,a_k,...,a_n)}{\epsilon}
can be equal to...
\Delta_k f = f(a_1,...,a_k + \epsilon,...,a_n)-f(a_1,...,a_k,...,a_n) \approx \Delta x_k \frac{\partial{f}}{\partial{x_k}}
and why is it approximately?
I`ll take the singe variable case, because the reasoning is similar.

\frac{d}{dx}f(x)=\lim_{h \to 0} \frac{f(x+h)-f(x)}{h}=f'(x)

which means, that for any \epsilon>0 we can find a \delta, such that:
|h|<\delta \Rightarrow \left|\frac{f(x+h)-f(x)}{h}-f'(x)\right|<\epsilon.

So if we make h small enough, it will be close enough to f'(x). Therefore, for small h:
\frac{f(x+h)-f(x)}{h} \approx f'(x)
or
f(x+h)-f(x) \approx hf'(x)

The h in this case is what the \Delta x_k represents in your multivariable case.
 
i see good explanation! thanks
 
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