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If \(f(z)\) is continuous at a point \(z_{0}\), show that \(f(z)\) is also continuous at \(z_{0}\). Is the same true for differentiability at \(z_{0} ?\) What does the function \(f(z)=|z|^{2}\) show? How about \(f(z)=z ?\)

Short Answer

Expert verified
The function \(f(z)\) is indeed continuous at \(z_{0}\) as given. However, this does not guarantee its differentiability at \(z_{0}\). Examining the specific functions, \(f(z)=|z|^2\) is not differentiable, even though it is continuous. \(f(z)=z\) is both continuous and differentiable.

Step by step solution

01

Understand Continuity

By definition, a function \(f(z)\) is continuous at a point \(z_{0}\) if the limit as \(z\) approaches \(z_{0}\) is equal to the value of the function at \(z_{0}\). This means that \(\lim_{z \to z_{0}} f(z) = f(z_{0})\). Since the function \(f(z)\) is given to be continuous at \(z_{0}\), this condition holds.
02

Understand Differentiability

Similarly, a function \(f(z)\) is differentiable at a point \(z_{0}\) if the limit of the difference quotient exists when \(z\) tends towards \(z_{0}\). Mathematically, \(f(z)\) is differentiable at \(z_{0}\) if \(\lim_{z \to z_{0}} \frac{f(z) - f(z_{0})}{z - z_{0}}\) exists. However, note that a function could be continuous at a point but not differentiable. For example, the function \(f(z) = |z|\) is continuous everywhere but not differentiable at \(z=0\).
03

Analyse the Function \(f(z) = |z|^2\)

This function is continuous everywhere, as the square of a complex number will always be a real number. As for differentiability, since the function has a complex conjugate component (as \(|z|^2=z \cdot \bar{z}\)), it doesn't satisfy the Cauchy-Riemann equations and thus is not differentiable anywhere.
04

Analyse the Function \(f(z) = z\)

The function \(f(z) = z\) is both continuous and differentiable everywhere. This can be shown using the definitions of continuity and differentiability.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Continuity in Complex Functions
In mathematics, continuity is a fundamental concept, which ensures there are no sudden jumps or breaks in a function's graph. When dealing with complex functions, this idea still applies. A complex function, denoted as \( f(z) \), is continuous at a specific point \( z_0 \) if the limit of \( f(z) \) as \( z \) approaches \( z_0 \) is equal to the function's value at \( z_0 \). In formulaic terms, this means
  • \( \lim_{z \to z_{0}} f(z) = f(z_{0}) \).
This definition implies that as you get closer to \( z_0 \), the output of the function also gets closer to \( f(z_0) \). This makes any changes very smooth, without any abrupt spikes or dips.

Consider the function \( f(z) = |z|^2 \). This function is continuous everywhere because the square of a complex number, boiled down to its components \( z \cdot \bar{z} \), is smooth. Both the real and imaginary parts of the function change continuously as \( z \) changes, preserving the idea of smoothness in the function's graph.
Differentiability in Complex Functions
Differentiability is a step further in checking a function’s smoothness. For a complex function \( f(z) \), being differentiable at a point \( z_0 \) means that the limit of the difference quotient exists as \( z \) approaches \( z_0 \). This is expressed in the formula
  • \( \lim_{z \to z_{0}} \frac{f(z) - f(z_{0})}{z - z_{0}} \).
If this limit exists, the function is smooth enough to have a well-defined tangent at that point.

Notably, differentiability implies continuity, but not the other way around. For instance, while \( f(z) = |z|^2 \) is continuous everywhere, it's not differentiable. This is because it fails to meet the criteria of differentiability due to the presence of a complex conjugate part, hindering any smooth derivative at any point.

Conversely, \( f(z) = z \) is both continuous and differentiable everywhere because the difference quotient for this function, resembling the slope of a line, always exists and is constant, showcasing its smooth nature.
Cauchy-Riemann Equations
The Cauchy-Riemann equations form a critical criterion for the differentiability of complex functions. A function \( f(z) = u(x, y) + iv(x, y) \), where \( z = x + iy \), is differentiable if its component functions \( u \) and \( v \) satisfy these equations:
  • \( \frac{\partial u}{\partial x} = \frac{\partial v}{\partial y} \)
  • \( \frac{\partial u}{\partial y} = -\frac{\partial v}{\partial x} \)
These equations ensure that the derivatives match up in a way that structural consistency is preserved in both the real and imaginary parts.

For \( f(z) = |z|^2 \), the failure to satisfy these equations indicates the absence of differentiability, as the complex parts disrupt the equation balance. Yet, for \( f(z) = z \), both Cauchy-Riemann equations hold true since the real and imaginary parts are simply \( x \) and \( y \), matching the equations perfectly. This comprehensive harmony is what confirms differentiability in the function \( f(z) = z \), allowing it to be smooth and well-defined across the complex plane.

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