Computing modular polynomials in quasi-linear time
ENGE, Andreas
Lithe and fast algorithmic number theory [LFANT]
Algorithmic number theory for cryptology [TANC]
Institut de Mathématiques de Bordeaux [IMB]
Lithe and fast algorithmic number theory [LFANT]
Algorithmic number theory for cryptology [TANC]
Institut de Mathématiques de Bordeaux [IMB]
ENGE, Andreas
Lithe and fast algorithmic number theory [LFANT]
Algorithmic number theory for cryptology [TANC]
Institut de Mathématiques de Bordeaux [IMB]
< Reduce
Lithe and fast algorithmic number theory [LFANT]
Algorithmic number theory for cryptology [TANC]
Institut de Mathématiques de Bordeaux [IMB]
Language
en
Article de revue
This item was published in
Mathematics of Computation. 2009, vol. 78, n° 267, p. 1809-1824
American Mathematical Society
English Abstract
We analyse and compare the complexity of several algorithms for computing modular polynomials. We show that an algorithm relying on floating point evaluation of modular functions and on interpolation, which has received ...Read more >
We analyse and compare the complexity of several algorithms for computing modular polynomials. We show that an algorithm relying on floating point evaluation of modular functions and on interpolation, which has received little attention in the literature, has a complexity that is essentially (up to logarithmic factors) linear in the size of the computed polynomials. In particular, it obtains the classical modular polynomials $\Phi_\ell$ of prime level $\ell$ in time O (\ell^3 \log^4 \ell \log \log \ell). Besides treating modular polynomials for $\Gamma^0 (\ell)$, which are an important ingredient in many algorithms dealing with isogenies of elliptic curves, the algorithm is easily adapted to more general situations. Composite levels are handled just as easily as prime levels, as well as polynomials between a modular function and its transform of prime level, such as the Schläfli polynomials and their generalisations. Our distributed implementation of the algorithm confirms the theoretical analysis by computing modular equations of record level around $10000$ in less than two weeks on ten processors.Read less <
Origin
Hal imported