Very basic partial derivatives problem

In summary, the conversation discusses the concept of taking functional derivatives, specifically in the context of the expression \frac{\partial f}{\partial x}. The idea is that f is a function and x is a variable on which f may or may not depend. It is proposed that \frac{\delta f(x_1, \cdots, x_n)}{\delta f(x_1', \cdots, x_n')} = \delta(x_1 - x_1') \cdots \delta(x_n - x_n') can be used to represent this, as seen in a Physics Forums thread. However, there may be a mistake in this approach.
  • #1
mnb96
715
5
Hello,
I should feel ashamed to ask this, but it's giving me (and others) some troubles.

given [tex]f(x_1,\ldots,x_n)[/tex], is it wrong to say that:

[tex]\frac{\partial f}{\partial f}=1[/tex]

...?
 
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  • #2
It doesn't make a lot of sense... the idea is that in the expression [itex]\frac{\partial f}{\partial x}[/itex], f is a function and x is a variable on which f does (or does not, or does indirectly) depend.

You can write
[tex]\frac{\delta f(x_1, \cdots, x_n)}{\delta f(x_1', \cdots, x_n')} = \delta(x_1 - x_1') \cdots \delta(x_n - x_n')[/tex]
where the delta's on the right hand side are Dirac delta distributions, but you are taking functional derivatives then.
 
  • #3
uhm...it makes some sense in the following context:
https://www.physicsforums.com/showthread.php?t=365940
however, there must be a mistake but I cannot see it.

[EDIT]: in the thread mentioned above a solution to the problem is described in its correct context. Sorry for this kind of "double posting"; in the beginning I thought I was facing a different problem than the original.
 
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FAQ: Very basic partial derivatives problem

What is a partial derivative?

A partial derivative is a mathematical concept that measures the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is used to analyze how a function changes in response to changes in one specific variable.

How is a partial derivative calculated?

A partial derivative is calculated by taking the derivative of a multivariable function with respect to one of its variables, while treating the other variables as constants. This is done using the standard rules of differentiation, such as the power rule, product rule, and chain rule.

What is the difference between a partial derivative and a total derivative?

A partial derivative only considers the change in one variable, while a total derivative takes into account changes in all variables simultaneously. This means that a total derivative includes the effects of changes in all variables on the overall function, while a partial derivative only shows the effect of a single variable.

Why are partial derivatives important in science?

Partial derivatives are important in science because they allow us to analyze how a function changes in response to changes in a specific variable, while holding all other variables constant. This is particularly useful in fields such as physics, economics, and engineering, where many systems involve multiple variables that can affect each other.

How are partial derivatives used in real life?

Partial derivatives are used in many real-life applications, such as optimizing production processes, predicting stock market trends, and analyzing the effects of environmental factors on ecosystems. They are also used in fields such as physics, chemistry, and biology to model complex systems and make predictions about their behavior.

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