# Cauchy's integral formula

Not to be confused with Cauchy's integral theorem.

In mathematics, Cauchy's integral formula, named after Augustin-Louis Cauchy, is a central statement in complex analysis. It expresses the fact that a holomorphic function defined on a disk is completely determined by its values on the boundary of the disk, and it provides integral formulas for all derivatives of a holomorphic function. Cauchy's formula shows that, in complex analysis, "differentiation is equivalent to integration": complex differentiation, like integration, behaves well under uniform limits – a result denied in real analysis.

## Theorem

Suppose U is an open subset of the complex plane C, f : U → C is a holomorphic function and the closed disk D = { z : | z − z0| ≤ r} is completely contained in U. Let $\gamma$ be the circle forming the boundary of D. Then for every a in the interior of D:

$f(a) = \frac{1}{2\pi i} \oint_\gamma \frac{f(z)}{z-a}\, dz$

where the contour integral is taken counter-clockwise.

The proof of this statement uses the Cauchy integral theorem and similarly only requires f to be complex differentiable. Since the reciprocal of the denominator of the integrand in Cauchy's integral formula can be expanded as a power series in the variable (a − z0), it follows that holomorphic functions are analytic. In particular f is actually infinitely differentiable, with

$f^{(n)}(a) = \frac{n!}{2\pi i} \oint_\gamma \frac{f(z)}{(z-a)^{n+1}}\, dz.$

This formula is sometimes referred to as Cauchy's differentiation formula.

The circle γ can be replaced by any closed rectifiable curve in U which has winding number one about a. Moreover, as for the Cauchy integral theorem, it is sufficient to require that f be holomorphic in the open region enclosed by the path and continuous on its closure.

## Proof sketch

By using the Cauchy integral theorem, one can show that the integral over C (or the closed rectifiable curve) is equal to the same integral taken over an arbitrarily small circle around a. Since f(z) is continuous, we can choose a circle small enough on which f(z) is arbitrarily close to f(a). On the other hand, the integral

$\oint_C \frac{1}{z-a} \,dz = 2 \pi i,$

over any circle C centered at a. This can be calculated directly via a parametrization (integration by substitution) $z(t) = a + \varepsilon e^{it}$ where 0 ≤ t ≤ 2π and ε is the radius of the circle.

Letting ε → 0 gives the desired estimate

$\begin{align} \left | \frac{1}{2 \pi i} \oint_C \frac{f(z)}{z-a} \,dz - f(a) \right | &= \left | \frac{1}{2 \pi i} \oint_C \frac{f(z)-f(a)}{z-a} \,dz \right |\\[.5em] &\leq \frac{1}{2 \pi} \int_0^{2\pi} \frac{ |f(z(t)) - f(a)| } {\varepsilon} \,\varepsilon\,dt\\[.5em] &\leq \max_{|z-a|=\varepsilon}|f(z) - f(a)| \xrightarrow[\varepsilon\to 0]{} 0. \end{align}$

## Example

Surface of the real part of the function g(z) = z2 / (z2 + 2z + 2) and its singularities, with the contours described in the text.

Consider the function

$g(z)=\frac{z^2}{z^2+2z+2}$

and the contour described by |z| = 2, call it C.

To find the integral of g(z) around the contour, we need to know the singularities of g(z). Observe that we can rewrite g as follows:

$g(z)=\frac{z^2}{(z-z_1)(z-z_2)}$

where $z_1=-1+i,$ $z_2=-1-i.$

Clearly the poles become evident, their moduli are less than 2 and thus lie inside the contour and are subject to consideration by the formula. By the Cauchy-Goursat theorem, we can express the integral around the contour as the sum of the integral around z1 and z2 where the contour is a small circle around each pole. Call these contours C1 around z1 and C2 around z2.

Now, around C1, f is analytic (since the contour does not contain the other singularity), and this allows us to write f in the form we require, namely:

$f(z)=\frac{z^2}{z-z_2}$

and now

$\oint_C \frac{f(z)}{z-a}\, dz=2\pi i\cdot f(a)$

$\oint_{C_1} \frac{\left(\frac{z^2}{z-z_2}\right)}{z-z_1}\,dz =2\pi i\frac{z_1^2}{z_1-z_2}.$

Doing likewise for the other contour:

$f(z)=\frac{z^2}{z-z_1},$

$\oint_{C_2} \frac{\left(\frac{z^2}{z-z_1}\right)}{z-z_2}\,dz =2\pi i\frac{z_2^2}{z_2-z_1}.$

The integral around the original contour C then is the sum of these two integrals:

$\begin{align} \oint_C \frac{z^2}{z^2+2z+2}\,dz &{}= \oint_{C_1} \frac{\left(\frac{z^2}{z-z_2}\right)}{z-z_1}\,dz + \oint_{C_2} \frac{\left(\frac{z^2}{z-z_1}\right)}{z-z_2}\,dz \\[.5em] &{}= 2\pi i\left(\frac{z_1^2}{z_1-z_2}+\frac{z_2^2}{z_2-z_1}\right) \\[.5em] &{}= 2\pi i(-2) \\[.3em] &{}=-4\pi i. \end{align}$

An elementary trick using partial fraction decomposition:

$\oint_C g(z)dz =\oint_C \left(1-\frac{1}{z-z_1}-\frac{1}{z-z_2}\right)dz =0-2\pi i-2\pi i =-4\pi i$

## Consequences

The integral formula has broad applications. First, it implies that a function which is holomorphic in an open set is in fact infinitely differentiable there. Furthermore, it is an analytic function, meaning that it can be represented as a power series. The proof of this uses the dominated convergence theorem and the geometric series applied to

$f(\zeta) = \frac{1}{2\pi i}\int_C \frac{f(z)}{z-\zeta}\,dz.$

The formula is also used to prove the residue theorem, which is a result for meromorphic functions, and a related result, the argument principle. It is known from Morera's theorem that the uniform limit of holomorphic functions is holomorphic. This can also be deduced from Cauchy's integral formula: indeed the formula also holds in the limit and the integrand, and hence the integral, can be expanded as a power series. In addition the Cauchy formulas for the higher order derivatives show that all these derivatives also converge uniformly.

The analog of the Cauchy integral formula in real analysis is the Poisson integral formula for harmonic functions; many of the results for holomorphic functions carry over to this setting. No such results, however, are valid for more general classes of differentiable or real analytic functions. For instance, the existence of the first derivative of a real function need not imply the existence of higher order derivatives, nor in particular the analyticity of the function. Likewise, the uniform limit of a sequence of (real) differentiable functions may fail to be differentiable, or may be differentiable but with a derivative which is not the limit of the derivatives of the members of the sequence.

## Generalizations

### Smooth functions

A version of Cauchy's integral formula holds for smooth functions as well, as it is based on Stokes' theorem. Let D be a disc in C and suppose that f is a complex-valued C1 function on the closure of D. Then (Hörmander 1966, Theorem 1.2.1)

$f(\zeta) = \frac{1}{2\pi i}\int_{\partial D} \frac{f(z) dz}{z-\zeta} + \frac{1}{2\pi i}\iint_D \frac{\partial f}{\partial \bar{z}}(z) \frac{dz\wedge d\bar{z}}{z-\zeta}.$

One may use this representation formula to solve the inhomogeneous Cauchy–Riemann equations in D. Indeed, if φ is a function in D, then a particular solution f of the equation is a holomorphic function outside the support of μ. Moreover, if in an open set D,

$d\mu = \frac{1}{2\pi i}\phi \, dz\wedge d\bar{z}$

for some φ ∈ Ck(D) (k ≥ 1), then $f(\zeta,\bar{\zeta})$ is also in Ck(D) and satisfies the equation

$\frac{\partial f}{\partial\bar{z}} = \phi(z,\bar{z}).$

The first conclusion is, succinctly, that the convolution μ∗k(z) of a compactly supported measure with the Cauchy kernel

$k(z) = \operatorname{p.v.}\frac{1}{z}$

is a holomorphic function off the support of μ. Here p.v. denotes the principal value. The second conclusion asserts that the Cauchy kernel is a fundamental solution of the Cauchy–Riemann equations. Note that for smooth complex-valued functions f of compact support on C the generalized Cauchy integral formula simplifies to

$f(\zeta) = \frac{1}{2\pi i}\iint \frac{\partial f}{\partial \bar{z}}\frac{dz\wedge d\bar{z}}{z-\zeta},$

and is a restatement of the fact that, considered as a distribution, $(\pi z)^{-1}$ is a fundamental solution of the Cauchy-Riemann operator $\partial/\partial\overline{z}$.[1] The generalized Cauchy integral formula can be deduced for any bounded open region X with C1 boundary ∂X from this result and the formula for the distributional derivative of the characteristic function χX of X:

${\partial \chi_X\over \partial \overline z}= {i\over 2} \oint_{\partial X} dz,$

where the distribution on the right hand side denotes contour integration along ∂X.[2]

### Several variables

In several complex variables, the Cauchy integral formula can be generalized to polydiscs (Hörmander 1966, Theorem 2.2.1). Let D be the polydisc given as the Cartesian product of n open discs D1, ..., Dn:

$D = \prod_{i=1}^n D_i.$

Suppose that f is a holomorphic function in D continuous on the closure of D. Then

$f(\zeta) = \frac{1}{(2\pi i)^n}\int\cdots\iint_{\partial D_1\times\dots\times\partial D_n} \frac{f(z_1,\dots,z_n)}{(z_1-\zeta_1)\dots(z_n-\zeta_n)}dz_1\dots dz_n$

where ζ=(ζ1,...,ζn) ∈ D.

### In real algebras

The Cauchy integral formula is generalizable to real vector spaces of two or more dimensions. The insight into this property comes from geometric algebra, where objects beyond scalars and vectors (such as planar bivectors and volumetric trivectors) are considered, and a proper generalization of Stokes theorem.

Geometric calculus defines a derivative operator $\nabla = \hat e_i \partial_i$ under its geometric product—that is, for a $k$-vector field $\psi(\vec r)$, the derivative $\nabla \psi$ generally contains terms of grade $k+1$ and $k-1$. For example, a vector field ($k=1$) generally has in its derivative a scalar part, the divergence ($k=0$), and a bivector part, the curl ($k=2$). This particular derivative operator has a Green's function:

$G(\vec r, \vec r') = \frac{1}{S_n} \frac{\vec r - \vec r'}{|\vec r - \vec r'|^n}$

where $S_n$ is the surface area of a unit ball in the space (that is, $S_2=2\pi$, the circumference of a circle with radius 1, and $S_3 = 4\pi$, the surface area of a sphere with radius 1). By definition of a Green's function, $\nabla G(\vec r, \vec r') = \delta(\vec r- \vec r')$. It is this useful property that can be used, in conjunction with the generalized Stokes theorem:

$\oint_{\partial V} d\vec S \; f(\vec r) = \int_V d\vec V \; \nabla f(\vec r)$

where, for an $n$-dimensional vector space, $d\vec S$ is an $(n-1)$-vector and $d\vec V$ is an $n$-vector. The function $f(\vec r)$ can, in principle, be composed of any combination of multivectors. The proof of Cauchy's integral theorem for higher dimensional spaces relies on the using the generalized Stokes theorem on the quantity $G(\vec r,\vec r') f(\vec r')$ and use of the product rule:

$\oint_{\partial V'} G(\vec r, \vec r')\; d\vec S' \; f(\vec r') = \int_V \left([\nabla' G(\vec r, \vec r')] f(\vec r') + G(\vec r, \vec r') \nabla' f(\vec r')\right) \; d\vec V$

when $\nabla \vec f = 0$, $f(\vec r)$ is called a monogenic function, the generalization of holomorphic functions to higher-dimensional spaces—indeed, it can be shown that the Cauchy–Riemann condition is just the two-dimensional expression of the monogenic condition. When that condition is met, the second term in the right-hand integral vanishes, leaving only

$\oint_{\partial V'} G(\vec r, \vec r')\; d\vec S' \; f(\vec r') = \int_V [\nabla' G(\vec r, \vec r')] f(\vec r') = -\int_V \delta(\vec r - \vec r') f(\vec r') \; d\vec V =- i_n f(\vec r)$

where $i_n$ is that algebra's unit $n$-vector, the pseudoscalar. The result is

$f(\vec r) =- \frac{1}{i_n} \oint_{\partial V} G(\vec r, \vec r')\; d\vec S \; f(\vec r') = -\frac{1}{i_n} \oint_{\partial V} \frac{\vec r - \vec r'}{S_n |\vec r - \vec r'|^n} \; d\vec S \; f(\vec r')$

Thus, as in the two-dimensional (complex analysis) case, the value of an analytic (monogenic) function at a point can be found by an integral over the surface surrounding the point, and this is valid not only for scalar functions but vector and general multivector functions as well.

## See also

• Cauchy–Riemann equations
• Methods of contour integration
• Nachbin's theorem
• Morera's theorem
• Mittag-Leffler's theorem
• Green's function generalizes this idea to the non-linear setup
• Schwarz integral formula
• Parseval–Gutzmer formula

## References

• Ahlfors, Lars (1979), Complex analysis (3rd ed.), McGraw Hill, ISBN 978-0-07-000657-7 .
• Hörmander, Lars (1966), An introduction to complex analysis in several variables, Van Nostrand
• Hörmander, Lars (1983), The Analysis of Linear Partial Differential Operators I, Springer, ISBN 3-540-12104-8
• Doran, Chris; Lasenby, Anthony (2003), Geometric Algebra for Physicists, Cambridge University Press, ISBN 978-0-521-71595-9
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