What is a total differential? (Geometrically speaking?)

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SUMMARY

The total differential, denoted as df, is a fundamental concept in calculus, particularly in Calculus 3. It is defined for a function f of multiple variables, where df = ∂f/∂x dx + ∂f/∂y dy + ∂f/∂z dz. This expression illustrates how changes in the variables x, y, and z affect the function f along a specific path in R3. The total differential can be understood as an extension of the ordinary derivative, incorporating the chain rule to relate changes in multiple dimensions.

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  • Understanding of basic calculus concepts, including derivatives and limits.
  • Familiarity with multivariable functions and partial derivatives.
  • Knowledge of the chain rule in calculus.
  • Basic comprehension of geometric interpretations in R3.
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Just got around to learning total differentials in calculus 3. Or total derivative, having a hard time wrapping my mind around what it is geometrically speaking. Can someone explain?
 
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MathWarrior said:
Just got around to learning total differentials in calculus 3. Or total derivative, having a hard time wrapping my mind around what it is geometrically speaking. Can someone explain?

Lets take a single variable case here, say y=f(x).

So the total differential of f is df = f'(x)dx. You can think of df as a function of two variables, x and dx ( Where dx is also independent here of course ).

Think of an infinitesimally small quantity when you think about dx. So for very very small values of dx you get :

f(x, dx) ≈ f'(x) ( Roughly equal to ).

In a way we cheat the system when we take the limit as h→0 of the definition of the limit. Remember how h is close to 0, but not zero exactly? Think of dx in the same manner. Extremely small, but not zero exactly.
 
Let f be a differentiable function in x, y, and z (which is stronger than just saying that the partial derivatives exist). Further, suppose x, y, and z are differentiable functions of some parameter t. Then f(t)= f(x(t), y(t), z(t)) describes f values along a specific smooth path in R3. If you like, you can think of it as the trajectory of an object in space.

By the chain rule,
[tex]\frac{df}{dt}= \frac{\partial f}{\partial x}\frac{df}{dt}+ \frac{\partial f}{\partial y}\frac{dy}{dt}+ \frac{\partial f}{\partial z}\frac{dz}{dt}[/tex]

Since that is an ordinary derivative of a function of a single variable, we can define its "differential":
[tex]df= \frac{df}{dt} dt= \left(\frac{\partial f}{\partial x}\frac{df}{dt}+ \frac{\partial f}{\partial y}\frac{dy}{dt}+ \frac{\partial f}{\partial z}\frac{dz}{dt}\right)dt[/tex]

Or course, that is the same as
[tex]df= \frac{df}{dt} dt= \frac{\partial f}{\partial x}\frac{df}{dt}dt+ \frac{\partial f}{\partial y}\frac{dy}{dt}dt+ \frac{\partial f}{\partial z}\frac{dz}{dt}dt[/tex]

[tex]df= \frac{\partial f}{\partial x}dx+\frac{\partial f}{\partial y}dy+ \frac{\partial f}{\partial z}dz[/tex]
where all mention of "t" has disappeared.
 

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