Proceedings of the 2010 International Symposium on Symbolic and Algebraic Computation 2010
DOI: 10.1145/1837934.1837962
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Composition collisions and projective polynomials

Abstract: The functional decomposition of polynomials has been a topic of great interest and importance in pure and computer algebra and their applications. The structure of compositions of (suitably normalized)is well understood in many cases, but quite poorly when the degrees of both components are divisible by the characteristic p. This work investigates the decomposition of polynomials whose degree is a power of p. An (equal-degree) icollision is a set of i distinct pairs (g, h) of polynomials, all with the

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Cited by 11 publications
(12 citation statements)
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References 27 publications
(33 reference statements)
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“…Theorem 5.1 and Proposition 5.4 of von zur Gathen, Giesbrecht & Ziegler (2010) determine the number c…”
Section: Algorithm 318: Identify Simply Original Polynomialsmentioning
confidence: 95%
See 1 more Smart Citation
“…Theorem 5.1 and Proposition 5.4 of von zur Gathen, Giesbrecht & Ziegler (2010) determine the number c…”
Section: Algorithm 318: Identify Simply Original Polynomialsmentioning
confidence: 95%
“…Fact 3.5 (von zur Gathen, Giesbrecht & Ziegler (2010), Proposition 6.2). Let r be a power of p, and u, s, ε, m and u * , s * , ε * , m * satisfy the conditions of Fact 3.1.…”
Section: Explicit Collisions At Degree Rmentioning
confidence: 99%
“…The original motivation was to find polynomials with a given Galois group. However they have also been studied over F q n , for example by Bluher [2], and in [6], due to their interesting possible number of roots, and their connection to calculating composition collisions. Projective polynomials with maximum number of roots have been used in [9] for attacking the discrete logarithm problem in cryptography; see Section 6 for further details.…”
Section: Projective Polynomialsmentioning
confidence: 99%
“…If H n−1 = H n−2 = 0 then using the second recursion (6), this automatically implies that −wzH σ 2 n−4 − H σ n−3 = 0. Hence, by the form of the matrix in the statement of Theorem 10, A L is a diagonal matrix if and only if H n−1 = H n−2 = 0.…”
mentioning
confidence: 99%
“…Even though the bounds are sharp, in many cases there are much fewer minimal decomposition than stated in Corollary 3.1. For more details on the number of decomposition of polynomials see von zur Gathen (2009), von zur Gathen,Giesbrecht & Ziegler (2010), andBlankertz, von zur Gathen & Ziegler (2012).…”
mentioning
confidence: 99%