Introduction
In this part we’ll define continuity when dealing with functions with several variables. We’ll also start looking at derivatives of functions of several variables.
Continuity
Let’s recall what continuity of a function with one variable is defined:
A function of one variable is continuous at a point, if:
In functions with several variables, it’s the same:
We say is continuous on its domain, if is continuous at each point,
Continuity laws
Suppose are functions of two variables. , is a function of one variable. Which are continuous in their respective domains, then:
All of the above, are continuous on their domains.
Example
Proof:
Similarly
Proof:
Since polynomials are combinations of
The domain of
Using the composition law of continuity, we easily prove that this function is a continuous function, on its domain. In this case it’s still
Knowing whether a function is continuous or not is very powerful, knowing that the above function is continuous makes:
Trivial.
Determine if this function is continuous:
Solution:
If the function is continuous, using the definition, then:
which means:
Using the law of limits and the definition, we find that this limit does not exist since:
Along
Along
Which tells us that
Last example:
Which means it is continuous at
Partial derivatives
Let’s first start with recalling the definition of derivative for functions with one variable:
Since we’re dealing with several variables, we need to choose what variable to respect, meaning what variable has a small increase.
Definition
The partial derivate of a function of two variables with respect to x, denoted by
, is the function of two variables given by: f x f_x f x ( x , y ) = lim h → 0 f ( x + h , y ) − f ( x , y ) h f_x(x, y) = \lim_{h \to 0} \dfrac{f(x + h, y) - f(x, y)}{h}
Similarly for
In other words what this means, the partial derivate with respect to a variable, we treat all other variables as they were constants.
Examples
Summary
As we have seen continuity is quite similar when dealing with functions of several variables. The partial derivate of functions of several variables are also quite trivial since we treat the other variables as constants!