Chain Rule of Multivariable Calculus

In summary: This would then make ##f(x,y)## and ##f(x^2,y)## be the same function.In summary, in Case 1, the author uses the dz/dt notation when z is a single variable and the ∂z/∂t notation when z is a two variable function. In Case 2, the author uses the partial derivatives wrt s and t when z is two variable function.
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sams
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I am confused when I should use the notation and the d notation. For example, on http://tutorial.math.lamar.edu/Classes/CalcIII/ChainRule.aspx, in Case 1, the author wrote dz/dt while in Case 2, the author wrote ∂z/∂t. Could anyone please explain to me when I should use the notation and the d notation.

Any help is much appreciated. Thanks a lot...
 
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In Case 1, z is regarded as a single-variable function of t, so the total derivative dz/dt is used.

In Case 2, z is regarded as a two-variable function of s and t, so derivatives wrt s and t are partial, and so are written ##\partial z/\partial t## and ##\partial z/\partial s##.

If z is a function of more than one variable, once the intermediate variables (x and y in this case) are eliminated, then the partial derivative notation is used, otherwise the total derivative notation.
 
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There are two distinct meanings of taking the derivative of a function ##f(x,y)## "with respect to x".

These are

Case 1) Taking the partial derivative of ##f## with respect to its first argument, which has been named "x" in this example.

Case 2) Taking the dervative of ##f## with respect to the variable ##x## wherever ##x## is involved.

For example, suppose we are given
##f(x,y) = x^2 + y## and ##y = 3x^3##.

case 1) ##\frac{\partial f}{\partial x} = 2x##

case 2) ##\frac{df}{dx} = 2x + 9x^2##

These two distinct concepts are a perpetual source of confusion in reading material written by physicists. (See @andrewkirk 's https://www.physicsforums.com/insights/partial-differentiation-without-tears/ )

To avoid such confusion, some authors have gone so far as using notation like ##f_1(x,y)## when they refer to the derivative of ##f## with respect to its first argument. This is a more straightforward notation that traditional notation like ##\frac{\partial f}{\partial w}## because to know the meaning of that notation, you must know which position ##w## occupies in the list of arguments of ##f##.

The functions defined by ##f(w,r) = w^2 + 3r ## and ##f(r,w) = r^2 + 3w ## are the the same function unless other information has been given to distinguish ##w## and ##r##. The partial derivative of ##f## with repspect to its first argument can be denoted as ##f_1(x,y) = 2x## or ##f_1(w,r) = 2w## or ##f_1(r,w) = 2r##. Technically variable names are abitrary. In applying math, a variable talked about on one page may have a special meaning that carries over to the next page, so people don't exercise their full freedom of choice when defining functions. Also there are traditions such as using "##x##" to be the first argument of a function.
 
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What is the chain rule in multivariable calculus?

The chain rule in multivariable calculus is a formula for finding the derivative of a composite function. It allows us to find the rate of change of a function that depends on multiple variables.

How is the chain rule used in multivariable calculus?

The chain rule is used to find the derivative of a composite function by breaking it down into smaller, simpler functions. This involves taking the derivative of the outer function, then multiplying it by the derivative of the inner function.

What are the prerequisites for understanding the chain rule in multivariable calculus?

To understand the chain rule in multivariable calculus, one must have a solid understanding of single-variable calculus, including the power rule, product rule, and quotient rule. It is also helpful to have knowledge of functions of multiple variables and partial derivatives.

What are some real-world applications of the chain rule in multivariable calculus?

The chain rule has many real-world applications, such as in physics, economics, and engineering. It is used to calculate rates of change in many physical systems, such as velocity and acceleration, and to optimize functions in economics and engineering, such as minimizing cost or maximizing efficiency.

Is the chain rule the same in multivariable calculus as it is in single-variable calculus?

No, the chain rule in multivariable calculus is more complex than the chain rule in single-variable calculus. In single-variable calculus, the chain rule only involves one variable, while in multivariable calculus, it involves multiple variables and partial derivatives. Additionally, the notation used for the chain rule is different in multivariable calculus.

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