14.12.2012 Views

Complex Analysis - Maths KU

Complex Analysis - Maths KU

Complex Analysis - Maths KU

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

164 Chapter 3 Analytic Functions<br />

L 1<br />

L 2<br />

(x 0 , y 0 )<br />

3.4 Applications<br />

22. In this problem you are guided through the start ofthe proofofthe proposition:<br />

If u(x, y) is a harmonic function and v(x, y) is its harmonic conjugate,<br />

then the function φ(x, y) =u(x, y)v(x, y) is harmonic.<br />

Proof Suppose f(z) =u(x, y)+iv(x, y) is analytic in a domain D. We saw<br />

in Section 3.1 that the product oftwo analytic functions is analytic. Hence<br />

[f(z)] 2 is analytic. Now examine [f(z)] 2 and finish the proof.<br />

In Section 3.3 we 3.4 saw that if the function f(z) =u(x, y)+iv(x, y) is analytic in a domain D,<br />

then the real and imaginary parts of f are harmonic; that is, both u and v have continuous<br />

second-partial derivatives and satisfy Laplace’s equation in D:<br />

∂2u ∂x2 + ∂2u = 0 and<br />

∂y2 ∂2v ∂x2 + ∂2v =0. (1)<br />

∂y2 Conversely, if we know that a function u(x, y) is harmonic in D, we can find a unique (up<br />

to an additive constant) harmonic conjugate v(x, y) and construct a function f(z) that is<br />

analytic in D.<br />

In the physical sciences and engineering, Laplace’s partial differential equation is often<br />

encountered as a mathematical model of some time-independent phenomenon, and in that<br />

context the problem we face is to solve the equation subject to certain physical side conditions<br />

called boundary conditions. See Problems 11–14 in Exercises 3.4. Because of the<br />

link displayed in (1), analytic functions are the source of an unlimited number of solutions<br />

of Laplace’s equation, and we may be able to find one that fits the problem at hand. See<br />

Sections 4.5 and 7.5. This is just one reason why the theory of complex variables is so<br />

essential in the serious study of applied mathematics.<br />

We begin this section by showing that the level curves of the real and imaginary parts<br />

of an analytic function f(z) =u(x, y)+iv(x, y) are two orthogonal families of curves.<br />

u(x, y) = u 0<br />

v(x, y) = v 0<br />

Figure 3.3 Tangents L1 and L2 at<br />

point of intersection z0 are<br />

perpendicular.<br />

Orthogonal Families Suppose the function f(z) =u(x, y)+iv(x, y)<br />

is analytic in some domain D. Then the real and imaginary parts of f can be<br />

used to define two families of curves in D. The equations<br />

u(x, y) =c1 and v(x, y) =c2, (2)<br />

where c1 and c2 are arbitrary real constants, are called level curves of u and<br />

v, respectively. The level curves (2) are orthogonal families. Roughly, this<br />

means that each curve in one family is orthogonal to each curve in the other<br />

family. More precisely, at a point of intersection z0 = x0 + iy0, where we shall<br />

assume that f ′ (z0) �= 0, the tangent line L1 to the level curve u(x, y) =u0<br />

and the tangent line L2 to the level curve v(x, y) =v0 are perpendicular.<br />

See Figure 3.3. The numbers u0 and v0 are defined by evaluating u and v<br />

at z0, that is, c1 = u(x0, y0) = u0 and c2 = v(x0, y0) = v0. To prove<br />

that L1 and L2 are perpendicular at z0 we demonstrate that the slope of one

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!