Empirical relationship

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Short description: Mathematical relationship or correlation based solely on observation rather than theory

In science, an empirical relationship or phenomenological relationship is a relationship or correlation that is supported by experiment and observation but not necessarily supported by theory.[1]

Analytical solutions without a theory

An empirical relationship is supported by confirmatory data irrespective of theoretical basis such as first principles. Sometimes theoretical explanations for what were initially empirical relationships are found, in which case the relationships are no longer considered empirical. An example was the Rydberg formula to predict the wavelengths of hydrogen spectral lines. Proposed in 1876, it perfectly predicted the wavelengths of the Lyman series, but lacked a theoretical basis until Niels Bohr produced his Bohr model of the atom in 1925.[2]

On occasion, what was thought to be an empirical factor is later deemed to be a fundamental physical constant.[citation needed]

Approximations

Some empirical relationships are merely approximations, often equivalent to the first few terms of the Taylor series of an analytical solution describing a phenomenon.[citation needed] Other relationships only hold under certain specific conditions, reducing them to special cases of more general relationship.[2] Some approximations, in particular phenomenological models, may even contradict theory; they are employed because they are more mathematically tractable than some theories, and are able to yield results.[3]

See also

References

  1. Hall, Carl W.; Hinman, George W. (1983), Dictionary of Energy, CRC Press, p. 84, ISBN 0824717937 
  2. 2.0 2.1 McMullin, Ernan (1968), “What Do Physical Models Tell Us?”, in B. van Rootselaar and J. F. Staal (eds.), Logic, Methodology and Science III. Amsterdam: North Holland, 385–396.
  3. Roman, Frigg; Hartmann, Stephan (27 February 2006). "Models in Science". in Zalta, Edward N.. The Stanford Encyclopedia of Philosophy (Fall 2012 ed.). http://plato.stanford.edu/archives/fall2012/entries/models-science/. Retrieved 24 July 2015. 




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