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Re:Lagrangian Neural Networks by whatshisface on Thursday March 12, 2020 @02:26PM (#22560003)
They are actually, literally equivalent to each other. Differential equations aren't a "purely random walk," they are a statement of what is about to happen based on what is happening. You have three formalisms: Newtonian (differential equations), Lagrangian (action minimization), and Hamiltonian (differential equations, but derived from a scalar field kind of like in Lagrangian mechanics). They are all different ways of writing down the same thing, and their advantages and disadvantages are related to situational convenience.
Re:Lagrangian Neural Networks by Brain_Thief on Thursday March 12, 2020 @04:02PM (#22561135)
Thank you for the response, I find this very interesting.

So is it true to say that the production of a particular solution to a differential equation is a statement about how a system will behave based on its initial conditions, and that the statement captures within it the principle of action minimization by virtue of the fact that it is a derivation of information from natural laws?

Re:Lagrangian Neural Networks by whatshisface on Thursday March 12, 2020 @05:22PM (#22561892)
"Action is minimized" and "F = ma" are the same in the sense that x+5=0 and x+6=1 are the same. In both cases you can go from one to the other with a sequence of deductions. There's no way to tell which one is the "natural law" because you can take either one as a fact and derive the other as a consequence.
Re:Lagrangian Neural Networks by Brain_Thief on Friday March 13, 2020 @05:36PM (#22571074)
Interesting - your response makes sense. Thanks again for the information.