Visually Representing Complex Derivatives

In summary, the derivative of a complex function is defined as the limit of (f(z_{0} + Δz) - f(z_{0}) / Δz as Δz approaches 0 and it represents a neighborhood of radius Δz around z_{0}. However, using a vector representation of the derivative definition is more appropriate for complex transformations. In this case, Δz is viewed as a vector that approaches zero to find the limit of the function. It is important to note that z=x+iy can be viewed as a point or a vector depending on the context, and complex calculus is simpler than vector calculus because the spaces in the transformation are the same.
  • #1
TheRainmaker
2
0
I'm curious how the derivative of a complex function can be represented visually. It is defined as the limit of (f(z[itex]_{0}[/itex] + Δz) - f(z[itex]_{0}[/itex]) / Δz as Δz approaches 0. Is it right to say that f(z[itex]_{0}[/itex] + Δz) represents a neighborhood of radius Δz around z[itex]_{0}[/itex] in this case? Does the derivative still represent instantaneous change as in real functions?
 
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  • #2
I do not recommend the neighbourhood 'picture', because you are moving on to a more general definition of the derivative.

Although the picture idea just about works for complex numbers it is better to work with the fundamental definition of the derivative.

That is because the formula you quote is pretty general and used for vectors, tensors and many other mathematical objects.

Many objects, such as vectors, do not reside in the same space as the independent variables, but in their own space. This is reflected in complex transformations from the xy to vu planes.
 
  • #3
Then using a vector representation of the derivative definition, Δz is a vector that approaches zero to find the limit of the function. What if z=x+iy is viewed as a point rather than a vector?
 
  • #4
You might like to revies this thread, it is a bit off topic but post#13 explains better what I mean.

https://www.physicsforums.com/showthread.php?t=640080&highlight=vector

What if z=x+iy is viewed as a point rather than a vector

That is exactly the point (pun intended).

z=x+iy is a point in one space but something else in another.

Complex calculus is simpler than vector calculus because the spaces in the transformation are the same, as with real analysis. That is xy and uv are both complex planes.
 

FAQ: Visually Representing Complex Derivatives

What is the purpose of visually representing complex derivatives?

The purpose of visually representing complex derivatives is to better understand and communicate the behavior and characteristics of these financial instruments. Visual representations, such as graphs and charts, can help to simplify complex mathematical concepts and make them more accessible to a wider audience.

What types of visual representations are commonly used for complex derivatives?

Commonly used visual representations for complex derivatives include line graphs, bar charts, scatter plots, and heat maps. These can be used to show the relationships between different variables, the performance over time, and the overall risk and return of the derivative.

How can visual representations aid in risk management for complex derivatives?

Visual representations can aid in risk management for complex derivatives by providing a clear and concise way to analyze and monitor the risk exposures of these financial instruments. By visually depicting the various components of risk, such as market, credit, and liquidity risk, it becomes easier to identify potential areas of concern and take appropriate measures to mitigate them.

What challenges may arise when visually representing complex derivatives?

Some challenges that may arise when visually representing complex derivatives include accurately capturing all the relevant information, avoiding bias or misinterpretation, and ensuring that the visual representation is easily understandable for all stakeholders. It is also important to consider any regulatory or industry standards for visual representations of financial instruments.

How can visual representations of complex derivatives be used in decision-making processes?

Visual representations of complex derivatives can be used in decision-making processes by providing a visual aid for understanding the potential outcomes and risks associated with different courses of action. By analyzing the visual representation, decision-makers can make more informed and strategic decisions that are based on a deeper understanding of the complex derivatives involved.

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