3 ms·
As Vladimir Arnold, who used to know a thing or two about fluid dynamics in particular, once said > At this point a special technique has been developed in mat
by snaky 8y ago
As Vladimir Arnold, who used to know a thing or two about fluid dynamics in particular, once said
> At this point a special technique has been developed in mathematics. This technique, when applied to the real world, is sometimes useful, but can sometimes also lead to self-deception. This technique is called modelling. When constructing a model, the following idealisation is made: certain facts which are only known with a certain degree of probability or with a certain degree of accuracy, are considered to be "absolutely" correct and are accepted as "axioms". The sense of this "absoluteness" lies precisely in the fact that we allow ourselves to use these "facts" according to the rules of formal logic, in the process declaring as "theorems" all that we can derive from them.
> It is obvious that in any real-life activity it is impossible to wholly rely on such deductions. The reason is at least that the parameters of the studied phenomena are never known absolutely exactly and a small change in parameters (for example, the initial conditions of a process) can totally change the result. Say, for this reason a reliable long-term weather forecast is impossible and will remain impossible, no matter how much we develop computers and devices which record initial conditions.
https://www.uni-muenster.de/Physik.TP/~munsteg/arnold.html https://www.uni-muenster.de/Physik.TP/~munsteg/arnold.html
- narimiran 8y ago>> a small change in parameters (for example, the initial conditions of a process) __can__ totally change the result. Say, for this reason a reliable long-term weather forecast is impossible and will remain impossible (emphasis mine) A small change in initial conditions can totally change the result in chaotic systems such as weather forecast, or a much simpler example — double pendulum. There are systems where a small change changes the results only slightly. E.g. a single pendulum.