曲线积分


 

3.1.1 Geometrical Notions

A curve, or rather a continuous curve in the z -plane, is any collection of points whose coordinates x ( t ) , y ( t ) are continuous functions of a single parameter t in some interval t 1 t t 2 . In complex notation such a curve is described in the form z ( t ) = x ( t ) + i y ( t ) . If the initial point of the curve coincides with the end point, z ( t 1 ) = z ( t 2 ) the curve is said to be closed and if it does not intersect itself elsewhere, i.e. if for any , satisfying , , then it is said to be simple . For our purposes continuous simple curves are by far too general. We shall deal only with curves which have a definable length and these we term rectifiable . 1 More specifically, we may restrict ourselves to piecewise smooth curves. A continuous curve z ( t ) is said to be smooth if it possesses a continuously turning tangent. In analytic terms this means that z ( t ) is continuously differentiable with z ˙ ( t ) 0 . A curve will be said to be piecewise smooth if it consists of a finite number of smooth arcs strung together so that the final point of one arc coincides with the initial point of the next. At the corner where two arcs join we must require that a one sided derivative exist for either direction of approach and that neither derivative vanishes. For brevity we refer to simple piecewise smooth curves as paths . Clearly, a path is a rectifiable curve, the length being given by the integral L = t 1 t 2 | z ˙ ( t ) | d t .  

It will sometimes be necessary to approximate to a piecewise smooth simple curve C by a sequence of paths C 1 , C 2 , , C n , . Namely, if C is given by a function z = z ( t )   ( t 1 t t 2 ) then the curves C n given in the parametric form z n = z n ( t ) must satisfy the relation lim n z n ( t ) = z ( t ) uniformly in t . The directions of the approximating curves need not approximate the direction of the limiting curve c ; but, if that is the case, if in addition to lim z n ( t ) = z ( t ) we have lim z ˙ n ( t ) = z ˙ ( t ) uniformly in t , then the sequence C n is said to approximate C smoothly . 2 In particular, any path can be smoothly approximated by a sequence of polygonal paths consisting either of its tangents or of its chords. By means of the latter approximation it is not difficult to prove if a sequence of paths C n forms a smooth approximation to C then the lengths of the approximating curves converge to that of the limit curve.

There is a famous theorem of Jordan which states that every continuous simple closed curve subdivides the z -plane into two non-overlapping domains, an infinite domain, the exterior, and a bounded domain, the interior. It is by no means an easy theorem to prove although it has a deceptive appearance of simplicity, a complete proof having been achieved only in comparatively recent years. For theorems of this kind one should be very suspicious of the promptings of an undisciplined intuition. It might be supposed for example that the boundary of a simply-connected domain is a continuous curve. However, plausible this assertion may appear it can be easily confuted by various counter examples:

In the square 0 x 1 , 0 y 1 , erect vertical lines of height 1 / 2 at the points x = 1 / 2 , 1 / 4 , 1 / 8 , , 1 / 2 n , . The region consisting of the interior of the rectangle minus the points on these lines is such a simply-connected domain. Its boundary, however, is made up of a curve plus an infinite number of branches.

Fig. 1

One might also suppose that every boundary point of a domain could be "reached" from the interior of the domain, i.e., by a polygon which, except for its end point on the boundary, lies entirely in the interior of the domain. This, however, need not be true, as one may verify for the points x = 0 , 0 < y < 1 / 2 in the above example.

The following example illustrates a domain, part of whose boundary is a simple closed curve, yet no point of this curve is accessible from the interior.

Let C be the unit circle, and consider a spiral domain S encircling C an infinite number of times as its thickness tends to zero. Every point of the unit circle C is a limit point of the spiral. The interior of S is certainly a domain in our sense and the boundary contains the unit circle. However, any polygon drawn in the interior of S towards C encircles C an indefinite number of times and cannot stop on C . The unit circle is therefore completely inaccessible from the interior.

Fig. 2

The proof of the general Jordan curve theorem is too long to have any proper place here. However, the reader may find it amusing the instructive to attempt to prove a special result.

A simple closed polygon P divides the z -plane into two disjoint domains. More exactly, if the polygon P is deleted from the plane the remainder consists of two non-overlapping open connected point sets.

From the Jordan theorem for polygons we conclude that the interior and exterior of a simple closed polygon are both domains in the function theoretical sense. By means of this theorem we may now distinguish between domains which have "holes" in them and those which do not. The latter are said to be simply connected and we define a domain D to be simply connected if for each simple closed polygon in D , the domain contains its interior. The domains of Fig. 1 , 2 for example are simply connected. The ring domain r < | z | < R , on the other hand, is not.

Next is the simply-connected domain from which a single point, or a simply-connected sub-domain has been cut – the so-called "ring domain". [See Fig. 3. ]

Fig. 3

Such a domain is called doubly-connected . In general, an n -tuply connected domain is one in which n 1 holes have been cut out of a simply connected domain. If the domain is bounded by piecewise-smooth arcs then an 𝒏 -tuply connected domain has 𝒏 closed boundary curves .

Fig. 4

An n -tuply connected domain can always be made simply connected by introducing n 1 “cross cuts”, i.e., paths which run through the domain and connect each of the interior boundary curves to the exterior. These cuts we add to the boundary of the domain, and agree not to take any path in the domain which crosses a cut. This automatically excludes any closed path which encircles one of the holes; the cut domain is therefore simply-connected.

Another theorem, needed later, is the following:

Theorem 3.1 . The interior of any simple, closed polygon can be decomposed into a finite number of triangles. 

To prove this theorem, we define the property of convexity . A point-set is said to be convex if for every two points X , Y of the set, the whole line segment X Y between X and Y is also contained in the set. The simplest example of a convex set is the infinite region on one side of a straight line, a half-plane .

It follows directly from the definition that the points P common to a finite number of convex sets A , B , C , also form a convex set. For if X and Y are two points of P , the line segment X Y lies in each one of the sets A , B , C , and hence in P . As a special case we have: The intersection of any finite number of half-planes is convex. [See Fig. 5 .]

Fig. 5

A convex polygonal region may easily be subdivided into triangles by choosing any interior point and joining it to the vertices. In general for any polygon P the subdivision is accomplished as follows:

Extend each side of the polygon indefinitely in both directions. The interior of P will then be split into a finite number of polygonal domains. [See Fig. 6 .] Each of these is the intersection of half planes and is therefore convex. The subdivision into triangles may then be carried out in each of the convex subdomains.

Fig. 6

3.1.2 Line Integrals

A line integral as defined in calculus, 4 is an expression of the form I = C a ( x , y ) d x + b ( x , y ) d y where a and b are continuous functions of x and y in a domain D of the ( x , y ) -plane which contains the path C . The value of the integral is defined by the ordinary Riemann integral where t is any parameter for C . C : x = x ( t ) ,   y = y ( t ) , for  t 0 t t 1 and P 0 = ( x ( t 0 ) , y ( t 0 ) ) , P 1 = ( x ( t 1 ) , y ( t 1 ) ) .  

image

Keep the endpoints P 0 and P 1 fixed and join them by another path lying in D . In general the integral along the path will be different from that along C . But we are most interested in integrals whose values depend only upon the endpoints and not on the particular path which joins them.

Theorem 3.2 . A necessary and sufficient condition that the line integral I ( C ; P 0 P 1 ) = P 0 P 1 a d x + b d y shall be independent of the path joining P 0 to P 1 for each point pair P 0 , P 1 in D is that there exist a function F ( x , y ) in D such that  

The expression a d x + b d y is the differential of F and is called a total or an exact differential.

In this form the theorem is not applicable to specific cases since it does not give any criterion in terms of the given functions a ( x , y ) and b ( x , y ) for the existence of F . However, by introducing further assumptions concerning the domain and the functions we arrive at a more directly applicable theorem.

Theorem 3.3 . If D is a simply connected domain and a ( x , y ) , b ( x , y ) are differentiable functions, then the line integral P 0 P 1 a ( x , y ) d x + b ( x , y ) d y will be independent of the path if and only if  

This condition is known as the integrability condition . for two variables. It is a necessary and sufficient condition that the differential a d x + b d y be exact.

3.1.3 Complex Integrals

The definite integral z 0 z 1 f ( z ) d z of a function of a complex variable z = x + i y may be defined in terms of the integrals of the real and imaginary parts. Setting f ( z ) = u ( x , y ) + i v ( x , y ) we define Hence for a simply connected domain and differentiable u , v the condition that these integrals be independent of the path is equivalent to the requirement that u y = v x ; v y = u x but these are none other than the Cauchy-Riemann equations. Clearly, then, for a function f ( z ) with differentiable real and imaginary parts in a simply-connected domain D , a necessary and sufficient condition that z 0 z 1 f ( z ) d z be independent of the path joining z 0 to z 1 for all z 0 , z 1 in D is that f ( z ) be analytic.

In introducing the notion of definite integral we need not refer to the real and imaginary parts of the integrand. It is possible to define a complex integral completely in complex terms in a manner somewhat analogous to that of the ordinary Riemann integral for real functions of a single variable.

Let f ( z ) be a continuous single-valued function on a curve C . We need not require that C be a path but only that C be rectifiable, say of length L . Subdivide C into n arcs and denote the successive points of subdivision by z 0 , z 1 , z 2 , , z n .

image

在细分的每个连续弧段上任意选取一点,并将依次选取的点记为 ζ 1 , ζ 2 , , ζ n ,构造和式 其中 Δ z ν = z ν z ν 1 。让细分的数目无限增加,并使得最大的 | Δ z ν | 值趋于 0 。我们将证明和式(1.31) 将收敛于一个极限,且该极限与 C 的特定细分方式无关。因此我们可以定义 

由于 C 是闭集, f ( z ) C 上连续,从而一致连续。由 C 的可求长性可知,任给 ε > 0 ,可以找到一个足够小的 δ ( ε ) > 0 ,使得对于曲线上由长度小于 δ 的弧段连接的任何两点 ,都有 其中 L C 的长度。选取两个细分,使得所有弧段的长度均小于 δ ,并将其中一个细分的连续点记作 z 0 , z 1 , z 2 , ,另一个记作 z 0 , z 1 , z 2 , 。现在考虑由第一个和第二个细分中的所有点合并而成的细分。我们将这个细分的连续点记作 。新的细分更细,并且包含了前两个细分的所有点。因此,任何 Δ z ν 都可以表示为 其中 。对于 z ν 也有类似结果。对于每个细分,我们可以构造一个形如(1.31) 的和式。特别地,我们记 S = ν = 1 n f ( ζ ν ) Δ z ν 对于其他和式也有相应表达式。 S 的项形如 这对应于第三个细分的和式 的一部分 由此我们得到不等式 但点 都在弧 z ν 1 z ν 上,该弧的长度小于 δ 。因此我们有

对于 由此可得 因此,对于整个和式,我们有 此外,由于 不大于弧 的长度,我们有 ,从而 同样的推理表明 于是 | S S | < ε . 我们断定极限(1.32) 存在且与细分方式无关。

积分的若干简单性质直接源于定义:

引理3.1 如果函数 f ( z ) 有界,即 | f ( z ) | M ,则 其中 L C 的长度。 

引理3.2 如果曲线 C 由两段连续的可求长弧段 C 1 C 2 组成,则  

引理3.3 如果积分方向反转,积分值改变符号。因此,若将 C 的反向记作 C ,我们有 对于闭路,我们约定正方向为使内部位于左侧的环行方向。 

引理3.4 积分是线性运算,即若 α , β 是常数,则 

 

更一般地,我们有

引理3.5 一致收敛级数的积分等于各项积分之和。 

证明. 假设我们有一个级数 f ( z ) = f 1 ( z ) + f 2 ( z ) + 在曲线 C 上一致收敛。则对于充分大的 n ,有 | f ( z ) S n ( z ) | < ε 其中 S n ( z ) 是第 n 部分和 ν = 1 n f ν ( z ) 。由(1.33) 可得 | [ f ( z ) S n ( z ) ] d z | < ε L 其中 L C 的长度。因此 C f ( z ) d z = lim n ν = 1 n C f ν ( z ) d z .

引理3.6 常数的积分与积分曲线无关。更确切地说,我们有 这与连接 z 0 z 1 的曲线无关。 

类似地,我们有 也与积分曲线无关。 

因为我们可以用以下两个和式中的任何一个来逼近积分 逐项相加即得 结论立即得出。

引理3.7 f ( z ) 是区域 R 内的连续函数。如果存在一列有界长的曲线 C 1 , C 2 , , C n , 逼近一条给定的可求长曲线 C 0 ,则  

证明. C n 上的积分为 I n 。通过取充分细的细分,我们可以得到 I n 的一致逼近。将曲线 C n 用参数形式记作 z n ( t ) 0 t 1 。我们首先证明,可以对参数区间进行细分,使得在所有 C n 上得到一致小的细分。

由曲线的可求长性,对于有限条曲线,我们总能确定这样的细分。但该结论可以对所有曲线证明。即,任给 δ > 0 ,存在一个 δ ,使得只要 | t τ | < δ ,就有 | z n ( t ) z n ( τ ) | < δ ,且 δ n 无关。反之,假设对于任何 δ ,总存在一个 n ,以及某个 t τ 满足 | t τ | < δ ,却有 | z n ( t ) z n ( τ ) | δ 。令 δ 1 , δ 2 , , δ k , 是一个趋于零的 δ 序列。用 n k 表示第一个使得存在 t τ 满足 | t τ | < δ k | z n k ( t ) z n k ( τ ) | δ n 。显然 n k 无界。现在我们可以找到充分大的 N ,使得对所有 n > N ,一致地有 | z n ( t ) z 0 ( t ) | < δ 3 关于 t 一致成立。此外,由于 C 0 可求长,存在一个 δ ,使得当 | t τ | < δ 时有 | z 0 ( t ) z 0 ( τ ) | < δ 3 选取一个 k ,使得 δ k < δ n k > N 。则对所有满足 | t τ | < δ k t τ ,有 矛盾。

由于 f ( z ) 在区域 R 内连续,从而一致连续。因此,任给 ε > 0 ,存在 δ ,使得对所有满足 | z ζ | < δ z ζ (均在 R 内),有 | f ( z ) f ( ζ ) | < ε 选取参数区间的一个足够小的细分,使得对所有 n ,有 | z n ( t ν ) z n ( t ν 1 ) | < δ 2 z n ( t ν ) = z n , ν ,并构造和式 S n = ν = 1 m f ( z n , ν ) ( z n , ν z n , ν 1 ) . (1.37) 可得 S n = ν = 1 m z n , ν 1 z n , ν f ( z n , ν ) d z , 因为在每一项中 f ( z n , ν ) 是常数。由此我们推断 其中积分沿 C n 进行, L 是曲线长度的一个上界。

现在选取充分大的 n ,使得 | z n ( t ) z 0 ( t ) | < min ( δ , ε ) 关于 t 一致成立。考虑差 S n S 0 于是 | S n S 0 | < m ( 2 ε M + ε L ) = ε ( 2 m M + m L ) 其中 M f ( z ) C 0 上的界。我们断定 证明完毕。 ◻

引理3.8 如果积分曲线是一条道路,则积分的两个定义 (1.30) (1.32) 是等价的。 

证明. 设路径 C 由参数表示给出, x = x ( t ) y = y ( t ) 。取 C 的任意划分,使得导数 z ˙ ( t ) = x ˙ ( t ) + i y ˙ ( t ) 的不连续点包含在划分点中。求和式 (1.32) 可以用实项和式替代 其中 ζ ν = z ( τ ν ) t ν τ ν t ν 1 。考虑这些和式中的任意一个,例如 ν = 1 n u ν Δ x ν 。由于 z ˙ ( t ) C 的每个光滑弧段上一致连续,它在每个划分区间上当然是连续的。因此我们有 Δ x ν = x ˙ ( τ ν + δ ν ) Δ t ν 其中 τ ν + δ ν 是介于 t ν t ν 1 之间的某个值。令 ε ν = x ˙ ( τ ν + δ ν ) x ˙ ( τ ν ) 。由 x ˙ ( t ) 的一致连续性可知,存在 δ 使得只要 | t τ | < ε ,就有 | x ˙ ( t ) x ˙ ( τ ) | < ε 。因此,通过选取划分使得 Δ t ν < δ ,我们可以确保 | ε γ | < ε 。于是我们可以写出 ν = 1 n u ν Δ x ν = ν = 1 n u ν x ˙ ν Δ t ν + ν = 1 n u ν ε ν Δ t ν 其中第二项可以任意地小。设 M f ( z ) 的一个界,我们有 | ν = 1 n u ν ε ν Δ t ν | < | ε M ν = 1 n Δ t ν | = ε M . 我们得出结论 并且对其他积分也有类似的结果。我们得出结论 C f ( z ) d z = C u d x v d y + i C v d x + u d y 或用简记法