lemmastandardinferred_dep
Basic properties of the height
Lemma·
ht:height·§4.1 A weighted product formulaStatement (paper)
The value is independent of the chosen finite normal field and of
the extensions of the prime absolute values in .
For ,
For arbitrary ,
If a random is independent of a uniformly sampled
embedding , then, for and ,
In plain English
The height does not depend on the chosen finite normal field or on the extensions of absolute values, satisfies and for nonzero , and obeys and . If a random is independent of a uniform random embedding , then and .
Why it's here
Using the weighted product formula, the positive and negative parts of have equal total weight, which gives the inversion symmetry and the identity . The ultrametric and triangle inequalities then give the product and sum bounds. Averaging over the uniform embedding and applying Markov's inequality turns the mean height into tail bounds, which later arguments use to control how large or small coordinates can be.
Classified standard:
These are the textbook properties of the absolute logarithmic Weil height: independence of the field, invariance under inversion, subadditivity for products and sums, and Markov-type tail bounds from the archimedean part (cf. Bombieri–Gubler, Heights in Diophantine Geometry). The probabilistic tail bounds are a direct Markov-inequality consequence of these properties.
Uses
Used by
Sources
PaperOpen
- Section
- §4.1 A weighted product formula
- Page
- —
- Label
ht:height- Line
sections/03-heights.tex:73
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depThe proof invokes the normalized extensions and the "product formula" for the height, which is the weighted product formula of Lemma 4.1 ().