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Using GPS to Refute the Equivalence Principle

Ronald R. Hatch
Year: 2010
The GPS system along with other experimental evidence is used to refute the equivalence principle. The paper is divided into three major parts followed at the end by a short section which deals with a look at some as yet unexplained experimental data.

The first major section looks at the equivalence principle in the light of ?falling? electromagnetic radiation. In this first section the equivalence principle is defined and the arguments of Einstein, Feynman and Clifford Will are presented. Each of the arguments is refuted and the GPS evidence plays a significant role in that refutation. The section is closed with a strange quote from the ?GPS Bible? regarding the equivalence principle. This quote is followed by a transitional argument to the next section using two clocks, fore and aft, in an accelerating rocket.

The second major section deals with the relationship of the equivalence principle to infinitesimal Lorentz Transformations (ILTs). Goldstein, Meisner Thorne and Wheeler, Muller, and Ashby and Spilker are quoted in support of ILTs. Goy provides a valid alternative to the ILTs. The difference between ILTs and the ?clock hypothesis? of Goy is explored. Evidence from multiple sources (including GPS) is cited in support of the clock hypothesis. This evidence contradicts ILTs. The section is closed with the suggestion for a fairly simple experiment which could remove any doubt as to the validity (or lack thereof) of the ILTs.

The third major section returns to the ?falling? electromagnetic radiation concept and looks at some of the huge implications which can be derived from the failure of the strong and weak equivalence principles. After exploring some of those implications, alternative apparent equivalences are proposed which are consistent with the evidence.

The paper concludes with a brief look at some experimental evidence which has not yet been explained in a manner consistent with main stream physics theories. Suggested solutions to the anomalous data are provided.