Is Joon-Hwi Kim's idea of graphical notation for vector calc any good?

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SUMMARY

Joon-Hwi Kim's graphical notation for vector calculus presents a novel approach that aims to enhance understanding by providing visual insights that traditional algebraic notation may overlook. The discussion highlights the potential of graphical representations, akin to Venn diagrams, to clarify complex mathematical relationships. Additionally, it draws parallels with Symonyi variable naming notation, emphasizing the historical context of notation development in programming before the advent of advanced IDE tools. The effectiveness of Kim's notation will depend on subsequent research and applications in the field.

PREREQUISITES
  • Understanding of vector calculus concepts
  • Familiarity with graphical notation techniques
  • Knowledge of Venn diagrams and their applications in mathematics
  • Awareness of programming notations, specifically Symonyi variable naming
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  • Research the implications of graphical notation in advanced mathematics
  • Explore follow-on papers related to Joon-Hwi Kim's graphical notation
  • Investigate the use of Venn diagrams in higher-dimensional set theory
  • Study the evolution and impact of programming notations on software development
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Mathematicians, educators, software developers, and researchers interested in innovative notation systems and their applications in both mathematics and programming.

swampwiz
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I think its pretty novel and unique. Sometimes graphical notation can tease out some key insight that can be seen in algebraic notation. In this case, we'' just have to see what follow-on papers come out in support of it.

Consider how use Venn diagramming has become. It has its limits but is a great way to represent set relationships and mathematicians have extended the notation beyond the 2D representations we are taught.

https://en.wikipedia.org/wiki/Venn_diagram
One other such example while not graphical in nature is vector operations vs differential forms operations. GR folks utilize differential forms notation over tensor notation until it's time to do an actual numerical computation where the indices are needed to unpack the DF result into simpler expressions that are integrable or differentiable.

Also you need to understand the reason it was developed. In programming for example, Symonyi variable naming notation was quite popular in Windows programming as it carried the meaning of a variable in it name so you didn't have to keep returning to the declaration to figure out what operations would work on it. It also grouped variable by a common suffix.

Symonyi notation was developed because programmers didn't yet have the IDE (integrated development environment) tools that would understand programming context and variable usage.

https://en.wikipedia.org/wiki/Hungarian_notation
 
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