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Celso
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How do I interpret geometrically the partial derivative in respect to a constant of a function such as ##\frac{ \partial}{\partial c} (acos(x) + be^x + c)^2##?
1.2 Parametric Differentiation
The integration techniques that appear in introductory calculus courses include a variety of methods of varying usefulness. There’s one however that is for some reason not commonly done in calculus courses: parametric differentiation. It’s best introduced by an example:
...see section 1.2 of the book...
You could integrate by parts n times and that will work. Instead of this method, do something completely different. Consider the integral of ##xe^{\alpha x}## It has the parameter ##\alpha## in it. Differentiate with respect to ##\alpha##.
...
The idea of this method is to change the original problem into another by introducing a parameter. Then differentiate with respect to that parameter in order to recover the problem that you really want to solve. With a little practice you’ll find this easier than partial integration.
Also see problem 1.47 for a variation on this theme. Notice that I did this using definite integrals. If you try to use it for an integral without limits you can sometimes get into trouble. See for example problem 1.42
A partial derivative is a mathematical concept used in calculus to measure the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is denoted by ∂ (partial symbol) and is often represented as ∂f/∂x.
A partial derivative can be interpreted graphically as the slope of a tangent line to a curve at a specific point, in the direction of one of the variables. It represents the instantaneous rate of change of the function in that direction.
A partial derivative measures the rate of change of a function with respect to one variable, while holding all other variables constant. A total derivative, on the other hand, measures the overall rate of change of a function with respect to all of its variables.
Partial derivatives are used in various fields of science and engineering, such as physics, economics, and engineering. They are used to model and analyze complex systems, such as fluid dynamics, thermodynamics, and optimization problems.
The chain rule for partial derivatives is a rule used to find the derivative of a composite function with multiple variables. It states that the partial derivative of the composite function is equal to the sum of the partial derivatives of the individual functions multiplied by the corresponding partial derivatives of the inner variables.