Random matrix theory can be used to predict the frequency of rank 2 curves in a family of quadratic twists, but it does not seem to be able to tell us what the prediction is for quadratic twists of rank 3 or higher.
The reason that the RMT approach fails is that the height
of a generating point
is a factor in the formula for the central value of
the derivative of the L-function of a rank 1 curve.
We don't have a prediction for the distribution of the
heights of the generating points, and
so can't predict (within the collection of curves of odd
rank) the distribution the critical derivatives of the -functions.
Since the frequency of vanishing is determined by analyzing
the tail of that distribution, we are unable to predict
how often the derivative of the L-series is 0.
In [
arXiv:math/0010056] (to appear in Exp. Math.), Rubin and
Silverberg show that for several infinite families of elliptic curves ,
the number of quadratic twists
,
, with rank at least
is
. (Assuming the Parity Conjecture, the same result holds with
replaced by
.) Some of these examples were previously obtained by
Stewart and Top [
MR 95m:11055].
Rubin and Silverberg ask whether it is possible to find a hyperelliptic
curve over whose jacobian contains
copies of a fixed elliptic
curve
. This would give a lower bound for the frequency of quadratic
twists of
of rank at least
.
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