Fact-checked by Grok 2 weeks ago

Estimation lemma

In , the estimation lemma, commonly referred to as the ML-inequality, provides a fundamental upper bound on the of a of a continuous complex-valued along a rectifiable path. Specifically, if f is continuous on an containing the C with finite length L, and |f(z)| \leq M for all z on C, then \left| \int_C f(z) \, dz \right| \leq M L. This inequality derives its name from the roles of M (the maximum of f on C) and L (the of the ), and it serves as a for bounding in the . The proof of the estimation lemma relies on the parameterization of the and properties of the . For a C parameterized by z(t) over [a, b], the becomes \int_a^b f(z(t)) z'(t) \, dt, whose is at most \int_a^b |f(z(t))| |z'(t)| \, dt \leq M \int_a^b |z'(t)| \, dt = M L, where the first inequality follows from the for and the second from the bound on |f|. This straightforward highlights the lemma's accessibility, yet its utility extends deeply into analytic proofs by enabling estimates that vanish in limiting cases, such as when shrink or functions are bounded. The estimation lemma plays a pivotal role in numerous applications within , including the evaluation of real definite integrals via , such as \int_0^\infty \frac{\sin x}{x} \, dx = \frac{\pi}{2}, where it helps show that integrals over semicircular arcs tend to zero as the radius increases. It also underpins the for uniform convergence of analytic series, supports proofs of and the by bounding remainders, and facilitates the construction of infinite products and partial fraction decompositions in theorems like Weierstrass's factorization and Mittag-Leffler's. Beyond , these applications connect to broader fields, including the of like the gamma and Riemann zeta functions.

Definition and Statement

Formal Statement

The estimation lemma, also known as the ML-inequality, states that if f: U \to \mathbb{C} is a defined on an open domain U \subseteq \mathbb{C}, and \Gamma is a rectifiable lying in U, then the of the contour of f over \Gamma is bounded above by the product of the supremum of |f| on \Gamma and the of \Gamma. More precisely, let \Gamma be parametrized by a continuously differentiable curve \gamma: [\alpha, \beta] \to \mathbb{C} such that \gamma([\alpha, \beta]) = \Gamma. The l(\Gamma) is defined as l(\Gamma) = \int_{\alpha}^{\beta} |\gamma'(t)| \, dt. If M = \sup_{z \in \Gamma} |f(z)|, then \left| \int_{\Gamma} f(z) \, dz \right| \leq M \cdot l(\Gamma). The notation "ML-inequality" derives from M denoting the maximum modulus of f on \Gamma and L (or l) the length of the contour.

Assumptions and Conditions

The estimation lemma applies to a function f that is continuous on an open set U \subset \mathbb{C} containing the contour \Gamma, ensuring the integral \int_\Gamma f(z) \, dz is well-defined and the modulus can be bounded appropriately. This continuity assumption guarantees that f attains its values uniformly on compact subsets, including the image of \Gamma, which is crucial for the existence of the integral. The contour \Gamma must be rectifiable, meaning it has finite arc length L = \ell(\Gamma) < \infty, which allows the length to serve as a finite multiplier in the bound. Rectifiability ensures that \Gamma can be parameterized by a path \gamma: [a, b] \to \mathbb{C} with \int_a^b |\gamma'(t)| \, dt < \infty when differentiable, or more generally through approximation by polygonal paths. A common case where rectifiability holds is when \Gamma is piecewise smooth, consisting of finitely many smooth arcs joined end-to-end, such as line segments or circular arcs, which naturally possess finite total length. Additionally, |f(z)| must be bounded on \Gamma, so that the supremum M = \sup_{z \in \Gamma} |f(z)| < \infty, preventing the bound from becoming infinite and ensuring practical applicability. This boundedness follows from continuity of f on the compact image of \Gamma under a rectifiable parameterization, by the extreme value theorem for continuous functions on compact sets.

Proof

Outline of Proof

The proof of the estimation lemma begins by parametrizing the contour \Gamma with a smooth path \gamma: [\alpha, \beta] \to \mathbb{C}, which allows the contour integral to be expressed in real variable form as \int_\Gamma f(z) \, dz = \int_\alpha^\beta f(\gamma(t)) \gamma'(t) \, dt. Next, the modulus of this integral is bounded using the triangle inequality for Riemann integrals: \left| \int_\alpha^\beta f(\gamma(t)) \gamma'(t) \, dt \right| \leq \int_\alpha^\beta \left| f(\gamma(t)) \gamma'(t) \right| \, dt. Under the assumption that |f(z)| \leq M for all z \in \Gamma, the integrand satisfies \left| f(\gamma(t)) \gamma'(t) \right| \leq M \left| \gamma'(t) \right|, so the right-hand side simplifies to M \int_\alpha^\beta \left| \gamma'(t) \right| \, dt = M \cdot l(\Gamma), where l(\Gamma) denotes the length of \Gamma. This strategy fundamentally depends on the compatibility of the complex modulus with addition and multiplication, as well as the standard theory of Riemann integration applied componentwise in \mathbb{C}.

Detailed Derivation

The estimation lemma provides a bound on the modulus of a contour integral by leveraging the properties of the complex modulus and the triangle inequality for Riemann integrals. Consider a rectifiable contour \Gamma parameterized by a continuously differentiable function \gamma: [\alpha, \beta] \to \mathbb{C} such that \Gamma = \gamma([\alpha, \beta]), with the arc length l(\Gamma) = \int_{\alpha}^{\beta} |\gamma'(t)| \, dt. Let f be continuous on \Gamma, so |f| attains its maximum value M = \max_{z \in \Gamma} |f(z)| on the compact set \Gamma. The contour integral is given by \int_{\Gamma} f(z) \, dz = \int_{\alpha}^{\beta} f(\gamma(t)) \gamma'(t) \, dt. To bound its modulus, apply the triangle inequality for Riemann integrals, which states that for a continuous complex-valued function g on [\alpha, \beta], \left| \int_{\alpha}^{\beta} g(t) \, dt \right| \leq \int_{\alpha}^{\beta} |g(t)| \, dt. Here, set g(t) = f(\gamma(t)) \gamma'(t), yielding \left| \int_{\alpha}^{\beta} f(\gamma(t)) \gamma'(t) \, dt \right| \leq \int_{\alpha}^{\beta} |f(\gamma(t)) \gamma'(t)| \, dt. This interchange of the modulus and integral follows from the subadditivity of the modulus under summation, extended to the integral via the definition of the Riemann integral as a limit of sums. Since |f(\gamma(t)) \gamma'(t)| = |f(\gamma(t))| \cdot |\gamma'(t)| by the multiplicative property of the complex modulus, and |f(\gamma(t))| \leq M for all t \in [\alpha, \beta] due to the uniform bound from continuity on the compact image \Gamma, the integral simplifies to \int_{\alpha}^{\beta} |f(\gamma(t))| \cdot |\gamma'(t)| \, dt \leq M \int_{\alpha}^{\beta} |\gamma'(t)| \, dt = M \, l(\Gamma). Thus, \left| \int_{\Gamma} f(z) \, dz \right| \leq M \, l(\Gamma). The continuity of f on \Gamma ensures that the supremum M is attained, making the bound precise and achievable when |f(z)| \equiv M constantly along \Gamma.

Applications

Bounding Contour Integrals

The estimation lemma provides a fundamental technique for bounding the magnitude of contour integrals by selecting contours where the modulus of the integrand is controlled or decays appropriately, then applying the bound involving the maximum modulus multiplied by the contour length. This approach, often referred to as the , ensures that \left| \int_C f(z) \, dz \right| \leq M L, where M = \sup_{z \in C} |f(z)| and L is the length of the contour C. By carefully choosing C to exploit decay properties of f(z), analysts can obtain explicit upper bounds that facilitate further evaluation or limit processes. In scenarios involving large contours, such as circular arcs of radius R expanding to infinity, the lemma is particularly effective when |f(z)| \leq K / |z|^n for some constant K > 0 and n > 1 on |z| = R. Here, M \leq K / R^n and L = 2\pi R, yielding \left| \int_{|z|=R} f(z) \, dz \right| \leq 2\pi K / R^{n-1}, which approaches zero as R \to \infty. This vanishing behavior is crucial for deforming contours in the while preserving integral values, allowing contributions from distant regions to be neglected. For analytic functions, the estimation lemma combines seamlessly with the , which asserts that the maximum of |f(z)| on a closed bounded occurs on the . This principle enables precise determination of M over circular contours or line segments, often yielding M as the supremum on the contour itself. On a |z - z_0| = r, for instance, M bounds the integral directly, facilitating estimates in regions like disks or annuli where analyticity holds. A key, yet often underemphasized, application of the lies in demonstrating that integrals over "vanishing" —such as those shrinking to points or expanding indefinitely while the integrand decays—contribute negligibly to the overall . This role underscores its utility in and contour deformation arguments, where small bounds on such auxiliary justify focusing on principal paths.

Use in

The estimation lemma plays a crucial role in applying the to evaluate improper real integrals of the form \int_{-\infty}^{\infty} f(x) \, dx by considering a closed in the . Typically, one forms a semicircular consisting of the real interval [-R, R] and the upper semicircular arc \Gamma_R of radius R, assuming f(z) is analytic in the upper half-plane except for finitely many poles. By the , the integral over the closed equals $2\pi i times the sum of residues at the poles inside the . To relate this to the real integral, the estimation lemma is invoked to bound the integral over \Gamma_R, showing that it tends to zero as R \to \infty under suitable decay conditions on f(z), thereby yielding \int_{-\infty}^{\infty} f(x) \, dx = 2\pi i \sum \operatorname{Res}(f, z_k), where the sum is over poles in the upper half-plane. Specifically, on the arc \Gamma_R, parametrized by z = R e^{i\theta} for $0 \leq \theta \leq \pi, the length is \pi R. If |f(z)| \leq M(R)/R for some function M(R) with M(R) = o(R) as R \to \infty, the estimation lemma gives \left| \int_{\Gamma_R} f(z) \, dz \right| \leq \pi R \cdot \max_{\Gamma_R} |f(z)| \leq \pi M(R) \to 0. This ensures the arc contribution vanishes, allowing the to directly compute the real . The estimation lemma also serves as a foundational tool for more refined results like , which addresses oscillatory integrals of the form \int_{-\infty}^{\infty} e^{i a x} g(x) \, dx with a > 0. Jordan's lemma extends the bound by incorporating the decay of |e^{i a z}|\leq e^{-a R \sin \theta} on the upper arc (where \sin \theta \geq 0), splitting the arc into regions for tighter estimates, but relies on the estimation lemma's general framework to confirm the arc vanishes when |g(z)| \leq K / |z|^k for k > 0. A common scenario arises with rational functions f(z) = P(z)/Q(z), where \deg Q \geq \deg P + 2, ensuring |f(z)| \leq K / |z|^2 for large |z| and some constant K > 0. Here, the estimation lemma yields \left| \int_{\Gamma_R} f(z) \, dz \right| \leq \pi K / R \to 0 as R \to \infty, enabling the to evaluate the integral via residues at in the upper half-plane, such as for f(z) = 1/(z^2 + 1) where the at z = i gives the result \pi.

Examples

Simple Contour Example

Consider the function f(z) = \frac{1}{(z^2 + 1)^2}, which is analytic in the upper half-plane except at the z = i. To apply the estimation lemma, examine the contour integral over a semicircular \Gamma in the upper half-plane, consisting of the line from -a to a along the real axis (where a > 1) and the semicircular arc \Gamma_a parameterized by z = a e^{i\theta} for $0 \leq \theta \leq \pi. Focus on bounding the integral over the arc \Gamma_a. For z \in \Gamma_a, |z| = a, so |z^2 + 1| \geq |z|^2 - |1| = a^2 - 1 by the reverse , since a > 1 ensures a^2 - 1 > 0. Therefore, |f(z)| = \frac{1}{|z^2 + 1|^2} \leq \frac{1}{(a^2 - 1)^2} = M, where M is independent of \theta. The length of \Gamma_a is \pi a. By the estimation lemma, \left| \int_{\Gamma_a} f(z) \, dz \right| \leq M \cdot \pi a = \frac{\pi a}{(a^2 - 1)^2}. As a \to \infty, the bound \frac{\pi a}{(a^2 - 1)^2} \sim \frac{\pi a}{a^4} = \frac{\pi}{a^3} \to 0, demonstrating that the contribution from the becomes negligible in the . This vanishing over the allows the full to approximate the principal value along the real axis for large a, facilitating evaluations using residues inside the .

Application to Real Integral Evaluation

To evaluate the real integral \int_{-\infty}^{\infty} \frac{dx}{(x^2 + 1)^2}, consider the complex function f(z) = \frac{1}{(z^2 + 1)^2} and integrate over a semicircular contour in the upper half-plane consisting of the real interval [-R, R] and the arc \Gamma_R of radius R. The function f(z) has a pole of order 2 at z = i inside the contour for sufficiently large R > 1. The residue at this pole is computed as \operatorname{Res}(f, i) = \lim_{z \to i} \frac{d}{dz} \left[ (z - i)^2 f(z) \right] = \lim_{z \to i} \frac{d}{dz} \left[ \frac{1}{(z + i)^2} \right] = \lim_{z \to i} \frac{-2}{(z + i)^3} = \frac{-2}{(2i)^3} = \frac{-2}{8i^3} = \frac{1}{4i}. By the residue theorem, the contour integral equals $2\pi i times this residue, yielding $2\pi i \cdot \frac{1}{4i} = \frac{\pi}{2}. To relate this to the real integral, apply the estimation lemma (ML-inequality) to the arc integral over \Gamma_R. For |z| = R > 1, |z^2 + 1| \geq |z|^2 - 1, so |f(z)| \leq \frac{1}{(|z|^2 - 1)^2} \leq \frac{1}{(R^2 - 1)^2}. The length of \Gamma_R is \pi R, so the modulus of the arc integral is at most \frac{\pi R}{(R^2 - 1)^2}, which approaches 0 as R \to \infty. Thus, the real integral equals the contour integral in the limit, giving \int_{-\infty}^{\infty} \frac{dx}{(x^2 + 1)^2} = \frac{\pi}{2}. This approach generalizes to evaluating real integrals of rational functions with poles off the real axis and at , or more broadly to functions where the estimation lemma ensures the arc contribution vanishes, allowing residue computation to yield exact values.

References

  1. [1]
    [PDF] ponnusamy-s-silverman-h-1-complex-variables-with-applications.pdf
    ... complex analysis. If this book is to be used as a one-semester course ... (M-L Inequality) Suppose f(z) is continuous on a contour. C having length L ...
  2. [2]
    [PDF] II. Integration and Cauchy's Theorem
    The length of a path is unchanged by reparametrization of the path. 3.1 Estimation Lemma Let f : U → C be continuous (where U is some subset of C), let γ ...
  3. [3]
    [PDF] Complex Analysis with Applications Princeton University MAT330 ...
    Jan 27, 2023 · To get the second estimate of the lemma, we use. |1 − det (1 − A)| ≤ |tr (A)| + n · n!∥A∥2. ≤ n∥A∥ + n · n!∥A∥2. ≤ 2n · n!∥A ...
  4. [4]
    [PDF] “ML-bounds”: M=Maximum, L=Length
    Why do ML-inequalities? The ML-inequality will help prove two of our big theorems. We will take limits of paths where M or L are going to zero, and.
  5. [5]
    [PDF] MATH20142 Complex Analysis - The University of Manchester
    Feb 26, 2020 · define the complex integral and use a variety of methods (the Fundamental Theorem of Contour Integration, Cauchy's Theorem, the Generalised ...
  6. [6]
    [PDF] Ahlfors, Complex Analysis
    This book is an introduction to the theory of analytic functions of one complex variable, covering complex numbers, functions, integration, and conformal ...
  7. [7]
    [PDF] ECM3703: Complex Analysis
    Apr 15, 2013 · Introduction to Complex Analysis Complex analysis is the study of functions involving complex numbers. ... Lemma If f is complex-valued then. ˆ b.
  8. [8]
    [PDF] An Introduction to Complex Analysis - UC Homepages
    ... (ML-Inequality). Suppose that f is continuous on an open set containing a contour γ, and |f(z)| ≤ M for all z ∈ {γ}. Then, the following inequality holds.
  9. [9]
    [PDF] Complex VARIABLES AND APPLICATIONS, EIGHTH EDITION
    Editorial Director: Stewart K. Mattson. Director of Development: Kristine Tibbetts. Senior Sponsoring Editor: Elizabeth Covello.
  10. [10]
    [PDF] 9 Definite integrals using the residue theorem - MIT OpenCourseWare
    The theorems in this section will guide us in choosing the closed contour described in the intro- duction. The first theorem is for functions that decay ...Missing: textbook | Show results with:textbook