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Complex Analysis - Maths KU

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3.4 Applications 165<br />

tangent is the negative reciprocal of the slope of the other by showing that the<br />

product of the two slopes is −1. We begin by differentiating u(x, y) =u0 and<br />

v(x, y) =v0 with respect to x using the chain rule of partial differentiation:<br />

∂u<br />

∂x<br />

∂u dy<br />

+ = 0 and<br />

∂y dx<br />

∂v ∂v dy<br />

+<br />

∂x ∂y dx =0.<br />

We then solve each of the foregoing equations for dy/dx:<br />

slope of a tangent to curve u(x, y) =u0 � �� �<br />

dy<br />

= −∂u/∂x<br />

dx ∂u/∂y ,<br />

slope of a tangent to curve v(x, y) =v0 � �� �<br />

dy<br />

dx<br />

= −∂v/∂x , (3)<br />

∂v/∂y<br />

At (x0, y0) we see from (3), the Cauchy-Reimann equations ux = vy,<br />

uy = −vx, and from f ′ (z0) �= 0, that the product of the two slope functions is<br />

�<br />

− ∂u/∂x<br />

∂u/∂y<br />

��<br />

− ∂v/∂x<br />

∂v/∂y<br />

�<br />

=<br />

� ∂v/∂y<br />

∂v/∂x<br />

��<br />

− ∂v/∂x<br />

∂v/∂y<br />

�<br />

= −1. (4)<br />

EXAMPLE 1 Orthogonal Families<br />

For f(z) =z2 = x2−y 2 +2xyi we identify u(x, y) =x2−y2 and v(x, y) =2xy.<br />

For this function, the families of level curves x2 − y2 = c1 and 2xy = c2 are<br />

two families of hyperbolas. Since f is analytic for all z, these families are<br />

orthogonal. At a specific point, say, z0 =2+i we find 22 − 12 =3=c1 and<br />

2(2)(1) = 4 = c2 and two corresponding orthogonal curves are x2 − y2 =3<br />

and xy = 2. Inspection of Figure 3.4(a) shows x2 −y 2 = 3 in color and xy =2<br />

in black; the curves are orthogonal at z0 =2+i (and at −2 − i, by symmetry<br />

of the curves). In Figure 3.4(b) both families are superimposed on the same<br />

coordinate axes, the curves in the family x2 − y2 = c1 are drawn in color<br />

whereas the curves in family 2xy = c2 are in black.<br />

(–2, –1)<br />

y<br />

(2, 1)<br />

(a) Curves are orthogonal at points<br />

of intersection<br />

Figure 3.4 Orthogonal families<br />

x<br />

y<br />

(b) Families x 2 – y 2 = c 1 and<br />

2xy = c 2<br />

Gradient Vector In vector calculus, if f(x, y) is a differentiable scalar<br />

function, then the gradient of f, written either grad f or ∇f (the symbol<br />

x

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