Uncovering the Lost Secrets of Weber’s Electrodynamics (Dr Andre Assis RTF Lecture)
Everyone knows that a revolution in physics occured with Max Planck’s insights into the quantum world over a century ago.
But did you know that 50 years before Planck’s revolutionary insights into the quantum of action, the great German scientist Wilhelm Weber, working with a network of great renaissance scientists like Carl F. Gauss, Bernard Riemann discovered the essential character of the quantum domain through studies into electromagnetism?
The figure of Wilhelm Weber is one of the most important minds of the past several centuries whose work, method and discoveries have remained obscured and under-appreciated despite their world-altering implications.
On Sunday August 6th, the Rising Tide Foundation hosted professor Andre Assis (Professor of physics at the University of Campinas in Brazil) who is the world’s leading authority on Weber’s electrodynamics.
In this lecture, Prof. Assis will discuss Ampere’s force between current elements and Weber’s electrodynamics. He has been working on these topics, together with Relational Mechanics and the implementation of Mach’s principle for 35 years.
Access Prof Assis’ work here: https://www.ifi.unicamp.br/~assis/ (includes links to purchase hardcopies of his works)
The Rising Tide Foundation is a non-profit organization based in Montreal, Canada, focused on facilitating greater bridges between east and west while also providing a service that includes geopolitical analysis, research in the arts, philosophy, sciences and history. Consider supporting our work by subscribing to our substack page and Telegram channel at t.me/RisingTideFoundation.
Yes, it is time that the repression of electromagnetics --as the Third theory of physics integrating the determinism of Einstein’s classical physics with the uncertainty of quantum mechanics --come into the open! https://wireilla.com/physics/ijrap/abstract/11322ijrap01.html
The power play here would be to code up some computer models which can demonstrate the behavior of the mainstream theory and the Weber theory, with the emphasis on highlighting the differences in an intuitive display and behavior.
The most beautiful models are written in shader language and run in parallel on a GPU right hand n a browser.
See shadertoy.com for one example, there are many others like it that use shaders and GPU in the browser for simplicity to work and show the world the same.
In that website, the GPU computer program, or shader code window is right on the same webpage for each respective demo. The visual impact of GPU animation, affords mathematical subtleties to be beautifully rendered in smooth real-time. animations.
Parallel programming with shader language is a bit inverted from serial execution, instead of setting pixel color values in a nested loop, shaders assume (with some exceptions) that every pixel runs your program simultaneously, so all the variables are relative to the pixel, for each pixel, by default; so no need to loop through each pixel.
Also note that learning how to program formulas into a machine, helps you learn the math much faster, because it gives you a way to iterate via trial and error cycles, by playing in a live environment versus deciphering static formulas. Step by step, the formulas are brought to life by you!
Also, you can build-up incrementally from very basic concepts following various tutorials, and you can chase down particulars and integrate them Into the model.
Another animation system is called Processing, based on Java, and it’s excellent for quick animation experimentation, the idea is low friction dealing with implementation, many common building blocks help keep one abstracted above the details of graphics, and just get stuff on the screen much more easily.
One recommended work cycle is to use processing as your sandbox for developing ideas, and then, when you have some good stuff and you want to speed it up, you move to shader language, so it can run on the GPU in all its parallel glory.
Processing has tons of tutorials on YouTube, and it’s a great way to display streaming sensor data as well, like for plotting live data streams to the screen in real-time. That could be useful if you have a physical experiment running and you want to display streaming data values from sensors as a chart or meter panel, etc. I have used processing in conjunction with micro processors like “Teensy”, to form comprehensive sensor systems with signal processing, etc. I really juiced it up, with spectrum waterfall displays, etc.
I guess the larger point is you need to combine these two worlds; you need a programming enthusiast to get with the physics enthusiast and make music together! This is how Weber‘s work would come to life in the most impressive way, and many others for that matter.