Partial Derivatives: Why Closed Domains Don't Work

In summary, a smooth mapping is defined as having continuous partial derivatives of all orders on an open subset of Rn. However, when the domain is not open, partial derivatives cannot be used. In the 1-dimensional case, the derivative can be found by using the derivative from the left at the boundary point. In higher dimensions, the analog of the derivative is the total derivative, or gradient. One-sided limits in n-dimensions can be approached from one direction along the coordinate unit vector. An example of a function with existing but different limits on the x and y-axis is f(x,y)=(x+y)/(x-y).
  • #1
lmedin02
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Homework Statement


A mapping f from an open subset S of Rn into Rm is called smooth if it has continuous partial derivatives of all orders. However, when the domain S is not open one cannot usually speak of partial derivatives. Why?

Homework Equations

The Attempt at a Solution


In the 1 dimensional case there are not partial derivatives and we can consider the derivative of a function on a closed set by just using the derivative from the left if we are at the left boundary point of the interval. In 2 dimensions I tried creating a counter example, but no luck yet. In the definition of the partial derivative we already assume the domain to be open.
 
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  • #2
Can you come up with a natural well-defined analog of a one-sided limit in n-dimensions?
 
  • #3
In n-dimensions the analog of the derivative is the total derivative (i.e., gradient). When we consider the partial derivative or directional derivative in the direction of a unit coordinate vector we use a similar definition to that of the 1 dimensional derivative. In the 1 sided limit in 1 dimension we can approach the a point from 1 direction only. What I have in my mind is that we can approach a point in n-dimensions, for example, along the right hand side of the line that passes through the point where the partial derivative is taken in the direction of the coordinate unit vector.
 
  • #4
Surely you've seen an example of a function of the plane such that the limits along the x and y-axis exist and are different. Which one would you choose?
 
  • #5
yes, f(x,y)=(x+y)/(x-y).
 

FAQ: Partial Derivatives: Why Closed Domains Don't Work

What are partial derivatives?

Partial derivatives are a type of derivative that measures how a function changes when only one of its variables is changed, while holding all other variables constant. They are commonly used in multivariate calculus to study the rates of change of functions with multiple variables.

Why are partial derivatives important?

Partial derivatives are important because they allow us to analyze how a function changes in response to changes in its individual variables. This helps us understand the behavior of complex functions and is crucial in many fields such as physics, economics, and engineering.

What is a closed domain?

A closed domain is a set of possible input values for a function that includes all of its boundary points. In other words, it is a set that contains all of its limit points.

Why don't closed domains work for partial derivatives?

Closed domains do not work for partial derivatives because they do not allow for all possible inputs to be considered. Since partial derivatives involve changing only one variable at a time, a closed domain can restrict the range of possible inputs and result in inaccurate derivative calculations.

How can we avoid the issue of closed domains in partial derivatives?

To avoid the issue of closed domains in partial derivatives, we can use open or half-open domains instead. These types of domains allow for a wider range of inputs and can provide more accurate derivative calculations. Additionally, we can also use multivariable calculus techniques such as implicit differentiation to avoid the issue of closed domains.

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