Why are there two different ops for normal and partial derivatives?

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    Differential Operator
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Discussion Overview

The discussion centers on the distinction between normal derivatives (\(\frac{d}{dx}\)) and partial derivatives (\(\frac{\partial}{\partial x}\)), exploring their definitions, applications, and implications in various contexts, particularly in physics and mathematics.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the necessity of having two different operations for differentiation when dealing with a single variable.
  • Another participant explains that in classical mechanics, the action \(L\) depends on multiple variables, and thus the total derivative \(\frac{dL}{dt}\) includes contributions from all variables, contrasting it with the partial derivative \(\frac{\partial L}{\partial t}\).
  • A participant notes that the distinction is significant in Hamiltonian systems and mentions its relevance in the study of partial differential equations (P.D.E.) and the calculus of variations.
  • One participant asserts that the normal derivative assumes all other variables are functions of \(x\), while the partial derivative does not, providing an example to illustrate this point.
  • Another participant challenges the previous claim by suggesting that if one variable is constant, the normal derivative could still make sense, leading to a discussion about the conditions under which each derivative is applicable.
  • A later reply emphasizes the importance of recognizing when variables are constants versus when they are not, suggesting that misunderstandings can lead to significant errors in differentiation.

Areas of Agreement / Disagreement

Participants express differing views on the applicability and interpretation of normal versus partial derivatives, indicating that the discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Some participants' arguments depend on specific assumptions about the nature of the variables involved and their relationships, which are not universally agreed upon.

Treadstone 71
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This may seem like an odd question, but why are there two different ops for the normal and partial derivatives? i.e., [tex]\frac{d}{dx}[/tex] and [tex]\frac{\partial}{\partial x}[/tex]? I don't see a difference if only one is used, since we are always differentiating wrt a single variable anyway.
 
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think of it...

in classical mechanics, you can have functions like the action [itex]L[/itex] which is defined in the form

[tex]L=L(x,y,z,t)[/tex],

but [itex]x=x(t)[/itex], [itex]y=y(t)[/itex], [itex]z=z(t)[/itex], so

[tex]\frac{d L}{d t}=\frac {\partial L}{\partial x} \dot{x}(t)+\frac {\partial L}{\partial y} \dot{y}(t)+\frac {\partial L}{\partial z} \dot{z}(t)[/tex]

which clearly is different from [itex]\partial L/\partial t[/itex].


EDIT:

Sorry, my mistake... the derivative is missing one term. It should be read

[tex]\frac{d L}{d t}=\frac {\partial L}{\partial x} \dot{x}(t)+\frac {\partial L}{\partial y} \dot{y}(t)+\frac {\partial L}{\partial z} \dot{z}(t)+\frac{\partial L}{\partial t}[/tex]
 
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Interesting. I never encountered those. Then again, I'm not in physics.
 
The above are functions present in Hamiltonian systems, which are a big subject of study for mathematitians too... Specially in P.D.E.

EDIT:

Not to mention Calculus of Variations.
 
one came first, d/dx, and the other is a generalization of it, but asking what d/dx of some object is is strictly different from asking what partial d by dx of it is since the former assumes that the other variables (if there are any) are a function of x too. That is to say that if f(x)=x+y then

[tex]\frac{\partial f}{\partial x}[/tex]

makes sense but

[tex]\frac{df}{dx}[/tex]

doesn't
 
Wait, if [tex]f(x)=x+y[/tex], wouldn't [tex]\frac{df}{dx}[/tex] make sense since y is a constant? That is, [tex]\frac{df}{dx}[/tex] does not make sense if it was [tex]f(x,y)=x+y[/tex]?
 
And what if y weren't a constant? come on, put the pieces together, you should be able to correct the obvious mistakes that people make! Dear God.
 
Fascinating.
 
Here's another reason for the disticntion.

I give you y, just y, now differentiate it with respect to x. What's the answer? dy/dx or 0?

I suppose it is unfair of me to expect you to recognize silly errors from catastrpohically bad ones, not to mention hypocritical perhaps.
 
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