The Cauchy-Riemann equations are crucial for understanding . They provide a necessary condition for a function to be holomorphic, linking the real and imaginary parts of complex functions through .

These equations have significant implications in complex analysis. They're key to conformal mappings, , and analytic functions. Understanding them is essential for grasping more advanced concepts in and contour integrals.

Definition of Cauchy-Riemann equations

  • The Cauchy-Riemann equations are a set of partial differential equations that establish a necessary condition for a complex-valued function to be complex differentiable (holomorphic)
  • For a complex function f(z)=u(x,y)+iv(x,y)f(z) = u(x, y) + iv(x, y), where uu and vv are real-valued functions, the Cauchy-Riemann equations are: ux=vy\frac{\partial u}{\partial x} = \frac{\partial v}{\partial y} and uy=vx\frac{\partial u}{\partial y} = -\frac{\partial v}{\partial x}
  • Satisfying the Cauchy-Riemann equations is a necessary but not sufficient condition for a function to be complex differentiable

Cauchy-Riemann equations for differentiability

Real and imaginary parts

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  • The Cauchy-Riemann equations relate the partial derivatives of the real and imaginary parts of a complex function
  • For a complex function f(z)=u(x,y)+iv(x,y)f(z) = u(x, y) + iv(x, y), u(x,y)u(x, y) represents the and v(x,y)v(x, y) represents the
  • The equations ensure that the real and imaginary parts are interconnected in a way that allows for complex

Partial derivatives

  • The Cauchy-Riemann equations involve partial derivatives of the real and imaginary parts with respect to xx and yy
  • ux\frac{\partial u}{\partial x} and uy\frac{\partial u}{\partial y} denote the partial derivatives of the real part uu with respect to xx and yy, respectively
  • vx\frac{\partial v}{\partial x} and vy\frac{\partial v}{\partial y} denote the partial derivatives of the imaginary part vv with respect to xx and yy, respectively
  • These partial derivatives must satisfy the Cauchy-Riemann equations for the complex function to be differentiable

Geometric interpretation

Conformal mappings

  • Functions that satisfy the Cauchy-Riemann equations are called conformal mappings
  • Conformal mappings preserve angles between curves in the complex plane
  • They locally preserve the shape of infinitesimal figures, although the size may change

Angle preservation

  • One of the key properties of conformal mappings is angle preservation
  • If two curves intersect at a certain angle in the domain of a , their images under the mapping will intersect at the same angle
  • This property is a consequence of the Cauchy-Riemann equations

Local rotations and dilations

  • Conformal mappings can be interpreted as a combination of local rotations and dilations (scaling) in the complex plane
  • The Cauchy-Riemann equations ensure that the mapping locally behaves like a rotation and uniform scaling
  • The angle of rotation and the scale factor may vary from point to point

Polar form of Cauchy-Riemann equations

  • The Cauchy-Riemann equations can be expressed in polar coordinates (r,θ)(r, \theta)
  • For a complex function f(z)=u(r,θ)+iv(r,θ)f(z) = u(r, \theta) + iv(r, \theta) in polar form, the Cauchy-Riemann equations become: ur=1rvθ\frac{\partial u}{\partial r} = \frac{1}{r}\frac{\partial v}{\partial \theta} and 1ruθ=vr\frac{1}{r}\frac{\partial u}{\partial \theta} = -\frac{\partial v}{\partial r}
  • The polar form is useful when working with functions expressed in terms of modulus and argument

Harmonic functions and Cauchy-Riemann equations

Laplace's equation

  • A function u(x,y)u(x, y) is called harmonic if it satisfies : 2ux2+2uy2=0\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0
  • If a complex function f(z)=u(x,y)+iv(x,y)f(z) = u(x, y) + iv(x, y) satisfies the Cauchy-Riemann equations, then both u(x,y)u(x, y) and v(x,y)v(x, y) are harmonic functions

Conjugate harmonic functions

  • If u(x,y)u(x, y) and v(x,y)v(x, y) form a pair of functions satisfying the Cauchy-Riemann equations, they are called
  • Given a harmonic function u(x,y)u(x, y), its harmonic conjugate v(x,y)v(x, y) can be found using the Cauchy-Riemann equations
  • The complex function f(z)=u(x,y)+iv(x,y)f(z) = u(x, y) + iv(x, y) formed by a pair of conjugate harmonic functions is holomorphic (complex differentiable)

Cauchy-Riemann equations and analyticity

Holomorphic functions

  • A complex function f(z)f(z) is called holomorphic (or analytic) in a domain DD if it is complex differentiable at every point in DD
  • Holomorphic functions satisfy the Cauchy-Riemann equations in their domain
  • Examples of holomorphic functions include polynomials, exponential functions, and trigonometric functions

Complex differentiability vs real differentiability

  • Complex differentiability is a stronger condition than real differentiability
  • A complex function that is complex differentiable (holomorphic) is always real differentiable, but the converse is not true
  • Real differentiability does not imply the Cauchy-Riemann equations are satisfied, while complex differentiability does

Applications of Cauchy-Riemann equations

Complex integration

  • The Cauchy-Riemann equations play a crucial role in complex integration theory
  • They are used to derive important results such as the Cauchy integral formula and the residue theorem
  • The Cauchy integral formula relates the value of a inside a closed contour to the values of the function on the contour

Contour integrals

  • Contour integrals are integrals of complex functions along closed paths in the complex plane
  • The Cauchy-Riemann equations allow for the evaluation of certain contour integrals using techniques such as the Cauchy integral formula and the residue theorem
  • These techniques simplify the calculation of integrals that would be difficult or impossible to evaluate using real integration methods

Residue theorem

  • The residue theorem is a powerful tool for evaluating contour integrals of complex functions with singularities (poles)
  • It states that the contour integral of a meromorphic function (holomorphic except for poles) around a closed path is equal to 2πi2\pi i times the sum of the residues enclosed by the path
  • The Cauchy-Riemann equations are essential in the derivation and application of the residue theorem

Examples and exercises

Verifying Cauchy-Riemann equations

  • Example: Check if the function f(z)=z2f(z) = z^2 satisfies the Cauchy-Riemann equations
    • Solution: f(z)=(x+iy)2=x2y2+i(2xy)f(z) = (x + iy)^2 = x^2 - y^2 + i(2xy), so u(x,y)=x2y2u(x, y) = x^2 - y^2 and v(x,y)=2xyv(x, y) = 2xy
    • ux=2x\frac{\partial u}{\partial x} = 2x, vy=2x\frac{\partial v}{\partial y} = 2x, uy=2y\frac{\partial u}{\partial y} = -2y, vx=2y\frac{\partial v}{\partial x} = 2y
    • The Cauchy-Riemann equations are satisfied, so f(z)f(z) is holomorphic

Finding harmonic conjugates

  • Example: Find the harmonic conjugate of u(x,y)=excosyu(x, y) = e^x \cos y
    • Solution: Using the Cauchy-Riemann equations, ux=vy\frac{\partial u}{\partial x} = \frac{\partial v}{\partial y} and uy=vx\frac{\partial u}{\partial y} = -\frac{\partial v}{\partial x}
    • ux=excosy\frac{\partial u}{\partial x} = e^x \cos y, so vy=excosy\frac{\partial v}{\partial y} = e^x \cos y, which implies v(x,y)=exsiny+C(x)v(x, y) = e^x \sin y + C(x)
    • uy=exsiny\frac{\partial u}{\partial y} = -e^x \sin y, so vx=exsiny-\frac{\partial v}{\partial x} = -e^x \sin y, which implies C(x)=0C(x) = 0
    • The harmonic conjugate is v(x,y)=exsinyv(x, y) = e^x \sin y

Proving holomorphicity

  • Example: Prove that the function f(z)=sinzf(z) = \sin z is holomorphic
    • Solution: f(z)=sin(x+iy)=sinxcoshy+icosxsinhyf(z) = \sin(x + iy) = \sin x \cosh y + i \cos x \sinh y, so u(x,y)=sinxcoshyu(x, y) = \sin x \cosh y and v(x,y)=cosxsinhyv(x, y) = \cos x \sinh y
    • ux=cosxcoshy\frac{\partial u}{\partial x} = \cos x \cosh y, vy=cosxcoshy\frac{\partial v}{\partial y} = \cos x \cosh y, uy=sinxsinhy\frac{\partial u}{\partial y} = \sin x \sinh y, vx=sinxsinhy\frac{\partial v}{\partial x} = -\sin x \sinh y
    • The Cauchy-Riemann equations are satisfied, so f(z)f(z) is holomorphic

Key Terms to Review (21)

∂u/∂x: The term ∂u/∂x represents the partial derivative of a function 'u' with respect to the variable 'x'. This mathematical notation is critical in understanding how a function changes as one variable changes, while keeping other variables constant. In the context of complex analysis, especially with the Cauchy-Riemann equations, this term is essential for establishing the conditions under which a complex function is differentiable and thus, analytic.
∂v/∂y: The term ∂v/∂y represents the partial derivative of a function v with respect to the variable y. In the context of complex analysis, this term is crucial for understanding how complex functions behave in relation to their real and imaginary components. This concept plays a significant role in the formulation of the Cauchy-Riemann equations, which establish necessary conditions for a function to be analytic.
Analytic function: An analytic function is a complex function that is locally represented by a convergent power series, meaning it is differentiable in some neighborhood of each point in its domain. This property connects deeply with concepts such as differentiability, Cauchy-Riemann equations, and integral theorems, revealing the intricate structure of functions within the complex number system and their behavior in the complex plane.
C1 class: A c1 class refers to a function that is continuously differentiable, meaning that both the function itself and its first derivative are continuous. This property is crucial in complex analysis as it ensures that the function behaves nicely, allowing for the application of important results such as the Cauchy-Riemann equations, which are essential for establishing a function's differentiability in the complex plane.
Cauchy's Integral Theorem: Cauchy's Integral Theorem states that if a function is holomorphic (complex differentiable) on and inside a simple closed contour, then the integral of that function over the contour is zero. This fundamental result establishes the importance of differentiability in complex analysis and serves as a foundation for various other concepts, such as contour integrals and Cauchy's integral formula.
Complex differentiability: Complex differentiability refers to the condition in which a complex function has a derivative at a point, meaning that the limit of the difference quotient exists in the complex plane. For a function to be complex differentiable, it must not only satisfy the usual derivative properties but also adhere to specific criteria outlined by certain conditions related to real and imaginary parts of the function, which leads to connections with other important concepts in analysis.
Complex integration: Complex integration is the process of integrating complex-valued functions along a path or contour in the complex plane. This technique extends traditional integration to functions of complex variables, allowing for powerful results such as the Cauchy integral theorem and the evaluation of integrals using residues. It connects deeply with various concepts like conformal mapping, where integrating along contours helps understand transformations in the complex plane, and also plays a role in defining special functions like the Riemann zeta function, which relies on complex analysis for its properties.
Conformal Mapping: Conformal mapping is a technique in complex analysis that preserves angles and the local shape of figures when mapping one domain to another. This property allows for the transformation of complex shapes into simpler ones, making it easier to analyze and solve problems in various fields, including fluid dynamics and electrical engineering.
Conjugate Harmonic Functions: Conjugate harmonic functions are pairs of functions that arise from the theory of complex variables and are closely tied to harmonic functions. Specifically, if a function is harmonic (meaning it satisfies Laplace's equation), its conjugate harmonic function can be derived using the Cauchy-Riemann equations, which describe the relationship between the real and imaginary parts of holomorphic functions.
Continuity: Continuity in complex analysis refers to the property of a function that ensures it behaves predictably as its input approaches a certain point. It signifies that small changes in the input of the function lead to small changes in the output, which is essential for establishing concepts like limits, differentiability, and integrability in the complex plane.
Differentiability: Differentiability refers to the property of a complex function being able to be differentiated at a point in its domain, meaning that the function has a well-defined derivative there. This property is crucial in complex analysis as it relates to the smoothness and behavior of functions. In complex analysis, differentiability leads to many powerful results, including connections with harmonic functions and implications for the maximum modulus principle, as well as essential tools for analyzing the properties of holomorphic functions.
Harmonic Functions: Harmonic functions are twice continuously differentiable functions that satisfy Laplace's equation, meaning the sum of their second partial derivatives equals zero. These functions are crucial in various areas such as physics and engineering, especially in modeling steady-state heat conduction and fluid flow. They also play a significant role in complex analysis, particularly concerning properties like maximum values and conformal mappings.
Holomorphic function: A holomorphic function is a complex function that is differentiable at every point in its domain, which means it is not only continuous but also has a derivative that exists throughout. This property allows holomorphic functions to exhibit remarkable characteristics, such as being expressible as power series and having derivatives of all orders, making them a central focus in complex analysis.
Imaginary part: The imaginary part of a complex number is the component that is multiplied by the imaginary unit 'i', which is defined as the square root of -1. This part is crucial in distinguishing complex numbers from real numbers, allowing for a more comprehensive understanding of mathematical relationships and functions. In a complex number expressed as a + bi, 'b' represents the imaginary part, while 'a' is the real part, enabling operations and functions that extend beyond traditional number systems.
Laplace's equation: Laplace's equation is a second-order partial differential equation given by $$ abla^2 u = 0$$, where $$u$$ is a function of space. It plays a fundamental role in various fields, particularly in physics and engineering, as it describes the behavior of harmonic functions and is used in problems involving heat conduction, fluid flow, and electrostatics. Solutions to Laplace's equation are harmonic functions that satisfy the Cauchy-Riemann equations and can be derived using techniques like the Dirichlet problem or Poisson's integral formula.
Morera's Theorem: Morera's Theorem states that if a function is continuous on a domain and its integral over every closed contour in that domain is zero, then the function is holomorphic (complex differentiable) throughout that domain. This theorem connects the concepts of complex integration and differentiability, providing an alternative way to demonstrate a function's analyticity without directly satisfying the Cauchy-Riemann equations.
Open Set: An open set is a fundamental concept in topology, defined as a set that contains none of its boundary points. In the context of complex analysis, open sets are crucial because they allow for the application of many important theorems and properties, such as the existence of limits and continuity of functions. The nature of open sets helps in defining functions that are holomorphic, which leads to deeper insights in various complex analytical scenarios.
Partial Derivatives: Partial derivatives are derivatives of multivariable functions with respect to one variable while keeping the other variables constant. This concept is crucial when analyzing functions of several variables, allowing us to understand how a function changes with respect to one specific variable. In the context of complex analysis, partial derivatives play a key role in establishing whether a function is complex differentiable, which ties directly into conditions like the Cauchy-Riemann equations.
Real analysis: Real analysis is a branch of mathematics that focuses on the properties and behaviors of real numbers, sequences, and functions. It lays the foundation for understanding calculus and provides rigorous proofs for concepts such as limits, continuity, and differentiability, essential for higher-level studies in mathematics. Real analysis is key in establishing the frameworks for functions of one variable, which are foundational when discussing complex functions and their properties.
Real Part: The real part of a complex number is the component that lies on the horizontal axis of the complex plane, representing the 'real' or non-imaginary portion. In a complex number expressed as $$z = a + bi$$, where $$a$$ is the real part and $$b$$ is the imaginary part, this component plays a vital role in various mathematical operations and relationships within the complex number system, algebra, and functions.
Vector Calculus: Vector calculus is a branch of mathematics that deals with vector fields and differentiable functions. It extends calculus to higher dimensions, allowing the analysis of multivariable functions and their properties, which is essential in physics and engineering for understanding fluid flow, electromagnetism, and more. This mathematical tool is crucial for deriving relationships between different quantities and helps analyze complex problems involving vectors in space.
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