Approximation and Idealization: Why the Difference Matters


Συγγραφέας: John D. Norton


John D. Norton: Approximation and Idealization: Why the Difference Matters (pdf, 31 pages)
It is proposed that we use the term “approximation” for inexact description of a target system and “idealization” for another system whose properties also provide an inexact description of the target system. Since systems generated by a limiting process can often have quite unexpected, even inconsistent properties, familiar limit systems used in statistical physics can fail to provide idealizations, but are merely approximations. A dominance argument suggests that the limiting idealizations of statistical physics should be demoted to approximations.