Berlekamp–Rabin algorithm: Difference between revisions

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{{short description|Method in number theory}}

[[File:Elwyn_R_Berlekamp_2005.jpg|thumb|right|Elwyn R. Berlekamp at conference on Combinatorial Game Theory at [[Banff International Research Station]]]]

In [[number theory]], '''Berlekamp's root finding algorithm''', also called the '''Berlekamp–Rabin algorithm''', is the [[Randomized algorithm|probabilistic]] method of [[Root-finding algorithm|finding roots]] of [[Polynomial|polynomials]] over athe [[Finite field|field]] <math>\mathbb Z_pF_p</math> with <math>p</math> elements. The method was discovered by [[Elwyn Berlekamp]] in 1970<ref name=":0">{{cite journal |editor= |format= |url= https://www.ams.org/mcom/1970-24-111/S0025-5718-1970-0276200-X/ |title= Factoring polynomials over large finite fields |journal= Mathematics of Computation |year= 1970 |volume= 24 |issue= 111 |pages = 713–735 |series= |issn = 002557180025-5718 |doi = 10.1090/S0025-5718-1970-0276200-X |bibcode = |arxiv = |pmid = |ref= |archiveurl = |archivedate = |language= en |quote= |last1= Berlekamp|first1= E. R.|doi-access= free|url-access= subscription }}</ref> as an auxiliary to the [[Berlekamp's algorithm|algorithm]] for polynomial factorization over finite fields. The algorithm was later modified by [[Michael O. Rabin|Rabin]] for arbitrary finite fields in 1979.<ref name=":1">{{cite journal |author = M. Rabin |editor= |title= Probabilistic Algorithms in Finite Fields |journal= SIAM Journal on Computing |year= 1980 |volume= 9 |issue= 2 |pages = 273–280 |series= |issn = 009753970097-5397 |doi = 10.1137/0209024 |bibcode = |arxiv = |pmid = |ref= |language= |quoteciteseerx= 10.1.1.17.5653 }}</ref> The method was also independently discovered before Berlekamp by other researchers.<ref>{{cite book| author = Donald E Knuth | authorlinkauthor-link = Donald E Knuth | chapter = | chapter-url = | title = The art of computer programming. Vol. 2 Vol. 2 |date = 1998 | publisher = Addison-Wesley | isbn = 978-0201896848| oclc = 900627019 }}</ref>

== History ==

The method was proposed by [[Elwyn Berlekamp]] in his 1970 work<ref name=":0" /> on polynomial factorization over finite fields. His original work lacked a formal [[Correctness (computer science)|correctness]] proof<ref name=":1" /> and was later refined and modified for arbitrary finite fields by [[Michael O. Rabin|Michael Rabin]].<ref name=":1" /> In 1986 René Peralta proposed a similar [[algorithm]]<ref>{{cite journal |author = Tsz-Wo Sze |editor= |title= On taking square roots without quadratic nonresidues over finite fields |journal= Mathematics of Computation|year= 2011 |volume= 80 |issue= 275 |pages = 1797–1811 |series= |issn = 002557180025-5718 |doi = 10.1090/s0025-5718-2011-02419-1 |bibcode = |arxiv =0812.2591 |pmid = |ref= |language= |quotes2cid= 10249895 }}</ref> for finding square roots in <math>\mathbb Z_pF_p</math>.<ref>{{cite journal |author = R. Peralta |editor= |title= A simple and fast probabilistic algorithm for computing square roots modulo a prime number (Corresp.) |journal= IEEE Transactions on Information Theory |date=November 1986 |volume= 32 |issue= 6 |pages = 846–847 |series= |issn = 001894480018-9448 |doi = 10.1109/TIT.1986.1057236 |bibcode = |arxiv = |pmid = |ref= |language= |quote= }}</ref> In 2000 Peralta's method was generalized for [[Cubic equation|cubic equations]].<ref>{{cite journal |author = C Padró, G Sáez |editor= |title= Taking cube roots in Zm |journal= Applied Mathematics Letters |date=August 2002 |volume= 15 |issue= 6 |pages = 703–708 |series= |issn = 089396590893-9659 |doi = 10.1016/s0893-9659(02)00031-9 |bibcode = |arxiv = |pmid = |ref= |language= |quotedoi-access= }}</ref>

== Statement of problem==

Let <math>p</math> be an odd prime number. Consider the polynomial <math display="inline">f(x) = a_0 + a_1 x + \cdots + a_n x^n</math> over the field <math>\mathbb Z_pF_p\simeq \mathbb Z/p\mathbb Z</math> of remainders modulo <math>p</math>. The algorithm should find all <math>\lambda</math> in <math>\mathbb Z_pF_p</math> such that <math display="inline">f(\lambda)= 0</math> in <math>\mathbb Z_pF_p</math>.<ref name=":1" /><ref name=":2">{{cite book| author = Alfred J. Menezes, Ian F. Blake, XuHong Gao, Ronald C. Mullin, Scott A. Vanstone | chapter = | chapter-url = | format = | url = https://www.springer.com/gp/book/9780792392828 | title = Applications of Finite Fields | orig-year = | agency = | edition = |___location= |date = 1993 |publisher= Springer US |at= |volume= | pages = | page = | series = The Springer International Series in Engineering and Computer Science | isbn = 9780792392828| ref = }}</ref>

== Algorithm ==

=== Randomization ===

Let <math display="inline">f(x) = (x-\lambda_1)(x-\lambda_2)\cdots(x-\lambda_n)</math>. Finding all roots of this polynomial is equivalent to finding its factorization into linear factors. To find such factorization it is sufficient to split the polynomial into any two non-trivial divisors and factorize them recursively. To do this, consider the polynomial <math display="inline">f_z(x)=f(x-z) = (x-\lambda_1 - z)(x-\lambda_2 - z) \cdots (x-\lambda_n-z)</math> where <math>z</math> is some any element of <math>\mathbb Z_pF_p</math>. If one can represent this polynomial as the product <math>f_z(x)=p_0(x)p_1(x)</math> then in terms of the initial polynomial it means that <math>f(x) =p_0(x+z)p_1(x+z)</math>, which provides needed factorization of <math>f(x)</math>.<ref name=":0" /><ref name=":2" />

=== Classification of <math>\mathbb Z_pF_p</math> elements ===

Due to [[Euler's criterion]], for every [[monomial]] <math>(x-\lambda)</math> exactly one of following properties holds:<ref name=":0" />

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# Calculate remainders of <math display="inline">x,x^2, x^{2^2},x^{2^3}, x^{2^4}, \ldots, x^{2^{\lfloor \log_2 p \rfloor}}</math> modulo <math>f_z(x)</math> by squaring the current polynomial and taking remainder modulo <math>f_z(x)</math>,

# Using [[exponentiation by squaring]] and polynomials calculated on the previous steps calculate the remainder of <math display="inline">x^{(p-1)/2}</math> modulo <math display="inline">f_z(x)</math>,

# If <math display="inline">x^{(p-1)/2} \not \equiv \pm 1 \pmod{f_z(x)}</math> then <math>\gcd</math> mentioned abovebelow provide a non-trivial factorization of <math>f_z(x)</math>,

# Otherwise all roots of <math>f_z(x)</math> are either residues or non-residues simultaneously and one has to choose another <math>z</math>.

If <math>f(x)</math> is divisible by some non-linear [[Primitive polynomial (field theory)|primitive polynomial]] <math>g(x)</math> over <math>\mathbb Z_pF_p</math> then when calculating <math>\gcd</math> with <math>g_0(x)</math> and <math>g_1(x)</math> one will obtain a non-trivial factorization of <math>f_z(x)/g_z(x)</math>, thus algorithm allows to find all roots of arbitrary polynomials over <math>\mathbb Z_pF_p</math>.

=== Modular square root ===

Consider equation <math display="inline">x^2 \equiv a \pmod{p}</math> having elements <math>\beta</math> and <math>-\beta</math> as its roots. Solution of this equation is equivalent to factorization of polynomial <math display="inline">f(x) = x^2-a=(x-\beta)(x+\beta)</math> over <math>\mathbb Z_pF_p</math>. In this particular case problem it is sufficient to calculate only <math>\gcd(f_z(x); g_0(x))</math>. For this polynomial exactly one of the following properties will hold:

# GCD is equal to <math>1</math> which means that <math>z+\beta</math> and <math>z-\beta</math> are both quadratic non-residues,

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== Correctness proof ==

The algorithm finds [[factorization]] of <math>f_z(x)</math> in all cases except for ones when all numbers <math>z+\lambda_1, z+\lambda_2, \ldots, z+\lambda_n</math> are quadratic residues or non-residues simultaneously. According to [[theory of cyclotomy]],<ref>{{cite book| author = Marshall Hall | chapter = | chapter-url = | format = | url = https://books.google.com/books?id=__JCiiCfu2EC&pg=PA1&dqq=Combinatorial+Theory+hall#v=onepage&qpg=Combinatorial%20Theory%20hall&f=falsePA1 | title = Combinatorial Theory | orig-year = | agency = | edition = |___location= |date = 1998 |publisher= John Wiley & Sons |at= |volume= | pages = | page = | series = | isbn = 9780471315186| ref = }}</ref> the probability of such an event for the case when <math>\lambda_1, \ldots, \lambda_n</math> are all residues or non-residues simultaneously (that is, when <math>z=0</math> would fail) may be estimated as <math>2^{-k}</math> where <math>k</math> is the number of distinct values in <math>\lambda_1, \ldots, \lambda_n</math>.<ref name=":0" /> In this way even for the worst case of <math>k=1</math> and <math>f(x)=(x-\lambda)^n</math>, the probability of error may be estimated as <math>1/2</math> and for modular square root case error probability is at most <math>1/4</math>.

== Complexity ==

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# Taking the <math>\gcd</math> of two polynomials via [[Euclidean algorithm]] works in <math>O(n^2)</math>.

Thus the whole procedure may be done in <math>O(n^2 \log p)</math>. Using the [[fast Fourier transform]] and Half-GCD algorithm,<ref>{{cite book | author = Aho, Alfred V. | chapter = | chapter-url = | format = | url = https://archive.org/details/designanalysisof00ahoarich | title = The design and analysis of computer algorithms | orig-year = | agency = | edition = | ___location = | date = 1974 | publisher = Addison-Wesley Pub. Co | at = | volume = | pages = | page = | series = | isbn = 0201000296 | ref = | url-access = registration }}</ref> the algorithm's complexity may be improved to <math>O(n \log n \log pn)</math>. For the modular square root case, the degree is <math>n = 2</math>, thus the whole complexity of algorithm in such case is bounded by <math>O(\log p)</math> per iteration.<ref name=":2" />

== References ==

{{reflist}}

{{Number-theoretic algorithms}}<br />

[[Category:Algorithms]]

[[Category:Algebra]]