2006
DOI: 10.4007/annals.2006.163.723
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The number of extensions of a number field with fixed degree and bounded discriminant

Abstract: We give an upper bound on the number of extensions of a fixed number field of prescribed degree and discriminant ≤ X; these bounds improve on work of Schmidt. We also prove various related results, such as lower bounds for the number of extensions and upper bounds for Galois extensions.

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Cited by 72 publications
(84 citation statements)
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“…The best general bounds known for n ≥ 6 are due to Ellenberg and Venkatesh [24], who prove a bound of O(X n ε ). Conjectures for the density of discriminants of degree n number fields having a specified Galois group G (yielding the expected orders of growth but not the constants) have been suggested by Malle [32].…”
Section: Related and Future Workmentioning
confidence: 99%
“…The best general bounds known for n ≥ 6 are due to Ellenberg and Venkatesh [24], who prove a bound of O(X n ε ). Conjectures for the density of discriminants of degree n number fields having a specified Galois group G (yielding the expected orders of growth but not the constants) have been suggested by Malle [32].…”
Section: Related and Future Workmentioning
confidence: 99%
“…. This was improved upon by Ellenberg-Venkatesh [EV06] for large n, who proved that there exist constants An depending on n and an absolute constant C such that…”
Section: Introductionmentioning
confidence: 98%
“…Geometrically speaking, we construct a coarse moduli space for these quartic fields, and then exploit the geometry of this space to get non-trivial estimates. In their recent work, Ellenberg and Venkatesh [9] improve Schmidt's estimate for large d. Their construction can be thought of as putting a level structure on this moduli space, and their main result follows by carefully controlling the size of the fiber of the map from this fine moduli space to our coarse moduli space. The proofs in [9] turn out to make relatively little use of the geometry of this fine moduli space; it would be interesting to see if we can get better results by combining our explicit geometric analysis with this general construction.…”
Section: ∼ C(d G)x E(dg) Log V(dg) X As X→∞mentioning
confidence: 99%