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Cauchy's estimate

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In mathematics, specifically in complex analysis, Cauchy's estimate gives local bounds for the derivatives of a holomorphic function. These bounds are optimal.

Cauchy's estimate is also called Cauchy's inequality, but must not be confused with the Cauchy–Schwarz inequality.

Statement and consequence

Let f {\displaystyle f} be a holomorphic function on the open ball B ( a , r ) {\displaystyle B(a,r)} in C {\displaystyle \mathbb {C} } . If M {\displaystyle M} is the sup of | f | {\displaystyle |f|} over B ( a , r ) {\displaystyle B(a,r)} , then Cauchy's estimate says: for each integer n > 0 {\displaystyle n>0} ,

| f ( n ) ( a ) | n ! r n M {\displaystyle |f^{(n)}(a)|\leq {\frac {n!}{r^{n}}}M}

where f ( n ) {\displaystyle f^{(n)}} is the n-th complex derivative of f {\displaystyle f} ; i.e., f = f z {\displaystyle f'={\frac {\partial f}{\partial z}}} and f ( n ) = ( f ( n 1 ) ) {\displaystyle f^{(n)}=(f^{(n-1)})^{'}} (see Wirtinger derivatives § Relation with complex differentiation).

Moreover, taking f ( z ) = z n , a = 0 , r = 1 {\displaystyle f(z)=z^{n},a=0,r=1} shows the above estimate cannot be improved.

As a corollary, for example, we obtain Liouville's theorem, which says a bounded entire function is constant (indeed, let r {\displaystyle r\to \infty } in the estimate.) Slightly more generally, if f {\displaystyle f} is an entire function bounded by A + B | z | k {\displaystyle A+B|z|^{k}} for some constants A , B {\displaystyle A,B} and some integer k > 0 {\displaystyle k>0} , then f {\displaystyle f} is a polynomial.

Proof

We start with Cauchy's integral formula applied to f {\displaystyle f} , which gives for z {\displaystyle z} with | z a | < r {\displaystyle |z-a|<r'} ,

f ( z ) = 1 2 π i | w a | = r f ( w ) w z d w {\displaystyle f(z)={\frac {1}{2\pi i}}\int _{|w-a|=r'}{\frac {f(w)}{w-z}}\,dw}

where r < r {\displaystyle r'<r} . By the differentiation under the integral sign (in the complex variable), we get:

f ( n ) ( z ) = n ! 2 π i | w a | = r f ( w ) ( w z ) n + 1 d w . {\displaystyle f^{(n)}(z)={\frac {n!}{2\pi i}}\int _{|w-a|=r'}{\frac {f(w)}{(w-z)^{n+1}}}\,dw.}

Thus,

| f ( n ) ( a ) | n ! M 2 π | w a | = r | d w | | w a | n + 1 = n ! M r n . {\displaystyle |f^{(n)}(a)|\leq {\frac {n!M}{2\pi }}\int _{|w-a|=r'}{\frac {|dw|}{|w-a|^{n+1}}}={\frac {n!M}{{r'}^{n}}}.}

Letting r r {\displaystyle r'\to r} finishes the proof. {\displaystyle \square }

(The proof shows it is not necessary to take M {\displaystyle M} to be the sup over the whole open disk, but because of the maximal principle, restricting the sup to the near boundary would not change M {\displaystyle M} .)

Related estimate

Here is a somehow more general but less precise estimate. It says: given an open subset U C {\displaystyle U\subset \mathbb {C} } , a compact subset K U {\displaystyle K\subset U} and an integer n > 0 {\displaystyle n>0} , there is a constant C {\displaystyle C} such that for every holomorphic function f {\displaystyle f} on U {\displaystyle U} ,

sup K | f ( n ) | C U | f | d μ {\displaystyle \sup _{K}|f^{(n)}|\leq C\int _{U}|f|\,d\mu }

where d μ {\displaystyle d\mu } is the Lebesgue measure.

This estimate follows from Cauchy's integral formula (in the general form) applied to u = ψ f {\displaystyle u=\psi f} where ψ {\displaystyle \psi } is a smooth function that is = 1 {\displaystyle =1} on a neighborhood of K {\displaystyle K} and whose support is contained in U {\displaystyle U} . Indeed, shrinking U {\displaystyle U} , assume U {\displaystyle U} is bounded and the boundary of it is piecewise-smooth. Then, since u / z ¯ = f ψ / z ¯ {\displaystyle \partial u/\partial {\overline {z}}=f\partial \psi /\partial {\overline {z}}} , by the integral formula,

u ( z ) = 1 2 π i U u ( z ) w z d w + 1 2 π i U f ( w ) ψ / w ¯ ( w ) w z d w d w ¯ {\displaystyle u(z)={\frac {1}{2\pi i}}\int _{\partial U}{\frac {u(z)}{w-z}}\,dw+{\frac {1}{2\pi i}}\int _{U}{\frac {f(w)\partial \psi /\partial {\overline {w}}(w)}{w-z}}\,dw\wedge d{\overline {w}}}

for z {\displaystyle z} in U {\displaystyle U} (since K {\displaystyle K} can be a point, we cannot assume z {\displaystyle z} is in K {\displaystyle K} ). Here, the first term on the right is zero since the support of u {\displaystyle u} lies in U {\displaystyle U} . Also, the support of ψ / w ¯ {\displaystyle \partial \psi /\partial {\overline {w}}} is contained in U K {\displaystyle U-K} . Thus, after the differentiation under the integral sign, the claimed estimate follows.

As an application of the above estimate, we can obtain the Stieltjes–Vitali theorem, which says that a sequence of holomorphic functions on an open subset U C {\displaystyle U\subset \mathbb {C} } that is bounded on each compact subset has a subsequence converging on each compact subset (necessarily to a holomorphic function since the limit satisfies the Cauchy–Riemann equations). Indeed, the estimate implies such a sequence is equicontinuous on each compact subset; thus, Ascoli's theorem and the diagonal argument give a claimed subsequence.

In several variables

Cauchy's estimate is also valid for holomorphic functions in several variables. Namely, for a holomorphic function f {\displaystyle f} on a polydisc U = 1 n B ( a j , r j ) C n {\displaystyle U=\prod _{1}^{n}B(a_{j},r_{j})\subset \mathbb {C} ^{n}} , we have: for each multiindex α N n {\displaystyle \alpha \in \mathbb {N} ^{n}} ,

| ( z α f ) ( a ) | α ! r α sup U | f | {\displaystyle \left|\left({\frac {\partial }{\partial z}}^{\alpha }f\right)(a)\right|\leq {\frac {\alpha !}{r^{\alpha }}}\sup _{U}|f|}

where a = ( a 1 , , a n ) {\displaystyle a=(a_{1},\dots ,a_{n})} , α ! = α j ! {\displaystyle \alpha !=\prod {\alpha }_{j}!} and r α = r j α j {\displaystyle r^{\alpha }=\prod r_{j}^{\alpha _{j}}} .

As in the one variable case, this follows from Cauchy's integral formula in polydiscs. § Related estimate and its consequence also continue to be valid in several variables with the same proofs.

See also

References

  1. Rudin 1986, Theorem 10.26.
  2. Rudin 1986, Ch 10. Exercise 4.
  3. This step is Exercise 7 in Ch. 10. of Rudin 1986
  4. Hörmander 1990, Theorem 1.2.4.
  5. Hörmander 1990, Corollary 1.2.6.
  6. Hörmander 1990, Theorem 2.2.7.
  7. Hörmander 1990, Theorem 2.2.3., Corollary 2.2.5.

Further reading


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