Complex functions build on real-valued functions, extending concepts like limits and continuity to the complex plane. These ideas are crucial for understanding analytic functions, which are smooth and well-behaved in complex analysis.

Limits and continuity in complex analysis mirror their real counterparts but with some key differences. The main distinction is that we're now dealing with two-dimensional complex numbers, which adds depth to these fundamental concepts.

Limits of Complex Functions

Definition of Limit at a Point and Infinity

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  • The limit of a complex function f(z)f(z) as zz approaches a point z0z_0 is a complex number LL if, for any positive real number ε\varepsilon, there exists a positive real number δ\delta such that f(z)L<ε|f(z) - L| < \varepsilon whenever 0<zz0<δ0 < |z - z_0| < \delta
    • If the limit LL exists, we write limzz0f(z)=L\lim_{z \to z_0} f(z) = L
    • If the limit does not exist, we say the limit of f(z)f(z) as zz approaches z0z_0 does not exist or is undefined
  • The limit of a complex function f(z)f(z) as zz approaches infinity is a complex number LL if, for any positive real number ε\varepsilon, there exists a positive real number MM such that f(z)L<ε|f(z) - L| < \varepsilon whenever z>M|z| > M
    • If the limit LL exists as zz approaches infinity, we write limzf(z)=L\lim_{z \to \infty} f(z) = L
    • If the limit does not exist, we say the limit of f(z)f(z) as zz approaches infinity does not exist or is undefined

Evaluating Limits Using Real and Imaginary Parts

  • The limit of a complex function f(z)f(z) as zz approaches a point z0z_0 or infinity can be evaluated by considering the limits of the real and imaginary parts of f(z)f(z) separately, provided both limits exist
    • Let f(z)=u(x,y)+iv(x,y)f(z) = u(x, y) + iv(x, y), where z=x+iyz = x + iy
    • limzz0f(z)=lim(x,y)(x0,y0)u(x,y)+ilim(x,y)(x0,y0)v(x,y)\lim_{z \to z_0} f(z) = \lim_{(x, y) \to (x_0, y_0)} u(x, y) + i \lim_{(x, y) \to (x_0, y_0)} v(x, y)
    • If both limits exist, then the limit of f(z)f(z) exists and is equal to the sum of the limits of the real and imaginary parts
    • Example: limz1+i(z2+2z)=lim(x,y)(1,1)(x2y2+2x)+ilim(x,y)(1,1)(2xy+2y)=3+4i\lim_{z \to 1+i} (z^2 + 2z) = \lim_{(x, y) \to (1, 1)} (x^2 - y^2 + 2x) + i \lim_{(x, y) \to (1, 1)} (2xy + 2y) = 3 + 4i

Continuity of Complex Functions

Conditions for Continuity

  • A complex function f(z)f(z) is continuous at a point z0z_0 if and only if the following three conditions are satisfied:
    1. f(z0)f(z_0) is defined (i.e., z0z_0 is in the domain of ff)
    2. limzz0f(z)\lim_{z \to z_0} f(z) exists
    3. limzz0f(z)=f(z0)\lim_{z \to z_0} f(z) = f(z_0)
  • A complex function f(z)f(z) is continuous on a domain DD if it is continuous at every point in DD

Properties of Continuous Functions

  • The sum, difference, product, and quotient of continuous complex functions are also continuous, provided the quotient is not divided by zero
    • If f(z)f(z) and g(z)g(z) are continuous at z0z_0, then f(z)±g(z)f(z) \pm g(z), f(z)g(z)f(z) \cdot g(z), and f(z)/g(z)f(z) / g(z) (provided g(z0)0g(z_0) \neq 0) are also continuous at z0z_0
  • Polynomial functions, exponential functions, and trigonometric functions are continuous on their entire domains
    • Example: f(z)=z3+2z+1f(z) = z^3 + 2z + 1 is continuous on the entire complex plane
  • Rational functions are continuous on their domains, except at points where the denominator is zero
    • Example: f(z)=1z1f(z) = \frac{1}{z - 1} is continuous on the complex plane except at z=1z = 1

Evaluating Limits of Complex Functions

Properties of Limits

  • The limit of a constant function is the constant itself: limzz0c=c\lim_{z \to z_0} c = c, where cc is a complex constant
  • The limit of the sum (or difference) of two complex functions is the sum (or difference) of their limits: limzz0[f(z)±g(z)]=limzz0f(z)±limzz0g(z)\lim_{z \to z_0} [f(z) \pm g(z)] = \lim_{z \to z_0} f(z) \pm \lim_{z \to z_0} g(z)
  • The limit of the product of two complex functions is the product of their limits: limzz0[f(z)g(z)]=limzz0f(z)limzz0g(z)\lim_{z \to z_0} [f(z) \cdot g(z)] = \lim_{z \to z_0} f(z) \cdot \lim_{z \to z_0} g(z)
  • The limit of the quotient of two complex functions is the quotient of their limits, provided the limit of the denominator is not zero: limzz0[f(z)/g(z)]=limzz0f(z)/limzz0g(z)\lim_{z \to z_0} [f(z) / g(z)] = \lim_{z \to z_0} f(z) / \lim_{z \to z_0} g(z), where limzz0g(z)0\lim_{z \to z_0} g(z) \neq 0

Squeeze Theorem

  • If f(z)g(z)h(z)f(z) \leq g(z) \leq h(z) for all zz in a neighborhood of z0z_0 (except possibly at z0z_0) and limzz0f(z)=limzz0h(z)=L\lim_{z \to z_0} f(z) = \lim_{z \to z_0} h(z) = L, then limzz0g(z)=L\lim_{z \to z_0} g(z) = L
    • The is useful for evaluating limits of functions that are "sandwiched" between two other functions with known limits
    • Example: If 0f(z)z0 \leq |f(z)| \leq |z| for all zz in a neighborhood of 0 and limz0z=0\lim_{z \to 0} |z| = 0, then limz0f(z)=0\lim_{z \to 0} f(z) = 0

Proving Continuity of Complex Functions

Using the Definition of Continuity

  • To prove that a complex function f(z)f(z) is continuous at a point z0z_0 using the definition of continuity, one must show that for any ε>0\varepsilon > 0, there exists a δ>0\delta > 0 such that f(z)f(z0)<ε|f(z) - f(z_0)| < \varepsilon whenever zz0<δ|z - z_0| < \delta
    • The proof typically involves algebraic manipulation of the inequality f(z)f(z0)<ε|f(z) - f(z_0)| < \varepsilon to isolate zz0|z - z_0| and determine a suitable value for δ\delta in terms of ε\varepsilon
    • The value of δ\delta may depend on z0z_0 and the specific form of the function f(z)f(z)
    • Once a suitable δ\delta is found, the proof is complete, demonstrating that f(z)f(z) is continuous at z0z_0

Proving Continuity on a Domain

  • To prove continuity on a domain, one must show that the function is continuous at every point in the domain, which may require considering different cases or using properties of continuous functions
    • For example, to prove that a polynomial function is continuous on the entire complex plane, one can use the properties of continuous functions (sum, product, and composition of continuous functions are continuous)
    • For a rational function, one might need to consider the continuity at points where the denominator is zero separately from the rest of the domain
    • In some cases, it may be more efficient to prove continuity on a domain by showing that the real and imaginary parts of the function are continuous on the corresponding real domain

Key Terms to Review (16)

: The symbol '→' is used to denote the concept of limits and continuity in mathematics, particularly in calculus and analysis. It represents the idea of approaching a specific value as an input gets closer to a certain point, often used in expressing the limit of a function as the variable tends towards a certain value. Understanding this symbol is crucial for grasping how functions behave near particular points, including whether they reach those points or behave predictably.
Boundedness: Boundedness refers to the property of a function where its values are confined within a certain range, meaning there exists a real number that acts as an upper and lower limit for all outputs of the function. This concept is crucial for understanding the behavior of functions in relation to limits and continuity, as it provides insight into how functions behave near particular points or across entire domains.
Compactness: Compactness refers to a property of a space where every open cover has a finite subcover, making it a crucial concept in topology and analysis. This concept ensures that certain properties, like continuity and limits, behave nicely. It connects to various fundamental theorems and principles, providing a framework for understanding the behavior of functions and sets in complex analysis.
Continuous Function: A continuous function is a type of function where small changes in the input produce small changes in the output, meaning the function does not have any abrupt jumps, breaks, or holes. This concept is vital for understanding how functions behave, particularly in relation to limits. When considering continuity, it's essential to ensure that the limit of the function at a point matches the value of the function at that same point, which connects deeply with the idea of limits and provides a foundation for more advanced analysis.
Discontinuity: Discontinuity refers to a point at which a mathematical function ceases to be continuous, meaning it does not meet the criteria of having limits that equal the function's value at that point. It can arise in various forms such as removable, jump, or infinite discontinuities, affecting how limits and continuity are approached in complex functions and impacting the behavior of multivalued functions and their branch points.
Epsilon-delta definition: The epsilon-delta definition is a formal mathematical framework used to define the concept of limits in calculus. This definition establishes the precise criteria under which a function approaches a limit as its input approaches a specific value, ensuring that the function's outputs can be made arbitrarily close to the limit. By defining limits in this way, it emphasizes the importance of continuity and the behavior of functions around points of interest.
Infinite limit: An infinite limit occurs when the value of a function approaches infinity as the input approaches a specific value. This situation typically indicates that the function does not settle at any finite value near that input, and instead, it grows without bound, either positively or negatively. Understanding infinite limits is crucial in determining the behavior of functions at points where they are undefined or exhibit asymptotic behavior.
Lim: In mathematics, 'lim' is an abbreviation for limit, which refers to the value that a function approaches as the input approaches some value. Limits are fundamental to understanding continuity and behavior of functions, particularly in situations where functions may not be explicitly defined at a point. They help in analyzing the behavior of functions as they approach certain points or infinity, which is crucial for calculus and complex analysis.
Limit at infinity: A limit at infinity refers to the behavior of a function as the input approaches positive or negative infinity. It helps determine the end behavior of functions, showing what value the function gets closer to as the input becomes larger or smaller without bound. Understanding limits at infinity is crucial for analyzing the continuity and overall behavior of functions, particularly rational functions and their asymptotes.
Limit Laws: Limit laws are a set of mathematical rules that provide guidelines for evaluating limits of functions as they approach a certain point. These laws help simplify the process of finding limits by allowing operations like addition, subtraction, multiplication, and division to be performed on the limits of individual functions. Understanding these laws is essential for analyzing continuity and behavior of functions in calculus.
Limit of a function: The limit of a function describes the behavior of that function as the input approaches a particular value. It is essential for understanding continuity and the foundation of calculus, indicating how close the function's output can get to a certain value without necessarily reaching it. This concept helps in analyzing functions at points where they may not be defined or where they exhibit interesting behavior, such as approaching infinity or oscillating.
One-sided limit: A one-sided limit refers to the value that a function approaches as the input approaches a specific point from one side, either the left or the right. This concept is crucial for understanding the behavior of functions at points of discontinuity or when evaluating limits that do not exist uniformly from both sides. It helps establish continuity and differentiability by providing insights into how functions behave near particular points.
Pointwise continuity: Pointwise continuity refers to the property of a function where it is continuous at each individual point in its domain. This means that for any point in the domain, the limit of the function as it approaches that point equals the function's value at that point. Understanding pointwise continuity is crucial when discussing broader concepts like uniform continuity and the behavior of sequences of functions.
Removable discontinuity: A removable discontinuity occurs at a point in a function where the function is not defined, but can be made continuous by appropriately redefining the function at that point. This type of discontinuity arises when the limit of the function exists at that point, but the function itself does not take on that limit value. Recognizing and addressing removable discontinuities is crucial for understanding the behavior of functions and their continuity.
Squeeze Theorem: The Squeeze Theorem is a fundamental concept in calculus that helps determine the limit of a function by comparing it to two other functions whose limits are known and converge to the same value. This theorem is particularly useful when evaluating limits of functions that are difficult to analyze directly, allowing one to 'squeeze' the unknown function between two simpler functions to conclude its behavior as it approaches a specific point.
Uniform Continuity: Uniform continuity is a stronger form of continuity that requires a function to maintain its continuity uniformly over its entire domain. This means that for every given tolerance (epsilon), there exists a corresponding distance (delta) that works uniformly across the entire domain, ensuring that changes in input lead to consistent changes in output regardless of where the input is taken from within the domain.
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