
In the paper under review that author gives a brief introduction to axiomatic nonstandard analysis in the sense of Nelson's internal set theory. The author gives two examples of how to employ internal set theory in order to establish standard results. It is significant to note that the author establishes the fundamental theorem of algebra for nonconstant polynomials with complex coefficients without the use of continuity, complex integration and the like. Indeed, it is the reviewer's opinion that with a few extra lemmas this proof could be transferred easily into the elementary Robinson infinitesimal approach and presented during a first course in nonstandard analysis or even the infinitesimal calculus as presented by Keisler.
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to mathematical logic and foundations, fundamental theorem of algebra, Nonstandard models in mathematics, Non-Archimedean function theory, axiomatic nonstandard analysis, Nelson's internal set theory
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to mathematical logic and foundations, fundamental theorem of algebra, Nonstandard models in mathematics, Non-Archimedean function theory, axiomatic nonstandard analysis, Nelson's internal set theory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
