Multivariate Calculus - Bruce E. Shapiro
Multivariate Calculus - Bruce E. Shapiro Multivariate Calculus - Bruce E. Shapiro
66 LECTURE 9. THE PARTIAL DERIVATIVE Repeating the process, the last equation must equal a constant that we call K 2 so that Z ′′ (z) = −K 2 Zz Y ′′ (y) = (K 2 − K 1 )Y (y) = K 3 Y (y) whereK 3 = K 2 −K 1 . So each of the three functions X(x), Y (y), Z(z) satisfy second order differential equations of the form X ′′ (x) = −kX(x) which you might recognize as the equation of a ”spring” or ”oscillating string.” Revised December 6, 2006. Math 250, Fall 2006
Lecture 10 Limits and Continuity In this section we will generalize the definition of a limit to functions of more than one variable. In particular, we will give a meaning to the expression which is read as lim f(x, y) = L (x,y)→(a,b) “The limit of f(x, y) as the point (x, y) approaches the point (a, b) is L.” The complication arises from the fact that we can approach the point (a, b) from any direction. In one dimension, we could either approach from the left or from the right, and we defined a variety of notations to take this into account: and then the limit is defined only when L + = lim x→a + f(x) L − = lim x→a − f(x) lim f(x) = L x→a L = L + = L − , i.e., the limit is only defined when the limits from the left and the right both exist and are equal to one another. In two dimensions, we can approach from any direction, not just from the left or the right (figure 10.1). Let us return to the single-dimensional case, as illustrated in figure 10.2. Whichever direction we approach a from, we must get the same value. If the function approaches the same limit from both directions (the left and the right) then we say the limit exists. Formally, we say that lim f(x) = L x→a exists if and only if for any ɛ > 0, no matter how small, there exists some δ > 0 (that is allowed to depend functionally on ɛ) such that whenever 0 < |x − a| < δ 67
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Lecture 10<br />
Limits and Continuity<br />
In this section we will generalize the definition of a limit to functions of more than<br />
one variable. In particular, we will give a meaning to the expression<br />
which is read as<br />
lim f(x, y) = L<br />
(x,y)→(a,b)<br />
“The limit of f(x, y) as the point (x, y) approaches the point (a, b) is L.”<br />
The complication arises from the fact that we can approach the point (a, b) from<br />
any direction. In one dimension, we could either approach from the left or from the<br />
right, and we defined a variety of notations to take this into account:<br />
and then the limit<br />
is defined only when<br />
L + = lim<br />
x→a + f(x)<br />
L − = lim<br />
x→a − f(x)<br />
lim f(x) = L<br />
x→a<br />
L = L + = L − ,<br />
i.e., the limit is only defined when the limits from the left and the right both exist and<br />
are equal to one another. In two dimensions, we can approach from any direction,<br />
not just from the left or the right (figure 10.1).<br />
Let us return to the single-dimensional case, as illustrated in figure 10.2. Whichever<br />
direction we approach a from, we must get the same value. If the function approaches<br />
the same limit from both directions (the left and the right) then we say<br />
the limit exists. Formally, we say that<br />
lim f(x) = L<br />
x→a<br />
exists if and only if for any ɛ > 0, no matter how small, there exists some δ > 0<br />
(that is allowed to depend functionally on ɛ) such that whenever 0 < |x − a| < δ<br />
67