Cipolla's algorithm

From testwiki
Jump to navigation Jump to search

In computational number theory, Cipolla's algorithm is a technique for solving a congruence of the form

x2n(modp),

where x,n𝐅p, so n is the square of x, and where p is an odd prime. Here 𝐅p denotes the finite field with p elements; {0,1,,p1}. The algorithm is named after Michele Cipolla, an Italian mathematician who discovered it in 1907.

Apart from prime moduli, Cipolla's algorithm is also able to take square roots modulo prime powers.[1]

Algorithm

Inputs:

  • p, an odd prime,
  • n𝐅p, which is a square.

Outputs:

  • x𝐅p, satisfying x2=n.

Step 1 is to find an a𝐅p such that a2n is not a square. There is no known deterministic algorithm for finding such an a, but the following trial and error method can be used. Simply pick an a and by computing the Legendre symbol (a2np) one can see whether a satisfies the condition. The chance that a random a will satisfy is (p1)/2p. With p large enough this is about 1/2.[2] Therefore, the expected number of trials before finding a suitable a is about 2.

Step 2 is to compute x by computing x=(a+a2n)(p+1)/2 within the field extension 𝐅p2=𝐅p(a2n). This x will be the one satisfying x2=n.

If x2=n, then (x)2=n also holds. And since p is odd, xx. So whenever a solution x is found, there's always a second solution, -x.

Example

(Note: All elements before step two are considered as an element of 𝐅13 and all elements in step two are considered as elements of 𝐅132.)

Find all x such that x2=10.

Before applying the algorithm, it must be checked that 10 is indeed a square in 𝐅13. Therefore, the Legendre symbol (10|13) has to be equal to 1. This can be computed using Euler's criterion: (10|13)1061(mod13). This confirms 10 being a square and hence the algorithm can be applied.

  • Step 1: Find an a such that a2n is not a square. As stated, this has to be done by trial and error. Choose a=2. Then a2n becomes 7. The Legendre symbol (7|13) has to be βˆ’1. Again this can be computed using Euler's criterion: 76=343252251(mod13). So a=2 is a suitable choice for a.
  • Step 2: Compute x=(a+a2n)(p+1)/2=(2+6)7 in 𝐅13(6):
(2+6)2=4+466=2+46
(2+6)4=(2+46)2=136
(2+6)6=(2+46)(136)=9+26
(2+6)7=(9+26)(2+6)=6

So x=6 is a solution, as well as x=6. Indeed, 6210(mod13).

Proof

The first part of the proof is to verify that 𝐅p2=𝐅p(a2n)={x+ya2n:x,y𝐅p} is indeed a field. For the sake of notation simplicity, ω is defined as a2n. Of course, a2n is a quadratic non-residue, so there is no square root in 𝐅p. This ω can roughly be seen as analogous to the complex number i. The field arithmetic is quite obvious. Addition is defined as

(x1+y1ω)+(x2+y2ω)=(x1+x2)+(y1+y2)ω.

Multiplication is also defined as usual. With keeping in mind that ω2=a2n, it becomes

(x1+y1ω)(x2+y2ω)=x1x2+x1y2ω+y1x2ω+y1y2ω2=(x1x2+y1y2(a2n))+(x1y2+y1x2)ω.

Now the field properties have to be checked. The properties of closure under addition and multiplication, associativity, commutativity and distributivity are easily seen. This is because in this case the field 𝐅p2 is somewhat resembles the field of complex numbers (with ω being the analogon of i).
The additive identity is 0, or more formally 0+0ω: Let α𝐅p2, then

α+0=(x+yω)+(0+0ω)=(x+0)+(y+0)ω=x+yω=α.

The multiplicative identity is 1, or more formally 1+0ω:

α1=(x+yω)(1+0ω)=(x1+0y(a2n))+(x0+1y)ω=x+yω=α.

The only thing left for 𝐅p2 being a field is the existence of additive and multiplicative inverses. It is easily seen that the additive inverse of x+yω is xyω, which is an element of 𝐅p2, because x,y𝐅p. In fact, those are the additive inverse elements of x and y. For showing that every non-zero element α has a multiplicative inverse, write down α=x1+y1ω and α1=x2+y2ω. In other words,

(x1+y1ω)(x2+y2ω)=(x1x2+y1y2(a2n))+(x1y2+y1x2)ω=1.

So the two equalities x1x2+y1y2(a2n)=1 and x1y2+y1x2=0 must hold. Working out the details gives expressions for x2 and y2, namely

x2=y11x1(y1(a2n)x12y11)1,
y2=(y1(a2n)x12y11)1.

The inverse elements which are shown in the expressions of x2 and y2 do exist, because these are all elements of 𝐅p. This completes the first part of the proof, showing that 𝐅p2 is a field.

The second and middle part of the proof is showing that for every element x+yω𝐅p2:(x+yω)p=xyω. By definition, ω2=a2n is not a square in 𝐅p. Euler's criterion then says that

ωp1=(ω2)p12=1.

Thus ωp=ω. This, together with Fermat's little theorem (which says that xp=x for all x𝐅p) and the knowledge that in fields of characteristic p the equation (a+b)p=ap+bp holds, a relationship sometimes called the Freshman's dream, shows the desired result

(x+yω)p=xp+ypωp=xyω.

The third and last part of the proof is to show that if x0=(a+ω)p+12𝐅p2, then x02=n𝐅p.
Compute

x02=(a+ω)p+1=(a+ω)(a+ω)p=(a+ω)(aω)=a2ω2=a2(a2n)=n.

Note that this computation took place in 𝐅p2, so this x0𝐅p2. But with Lagrange's theorem, stating that a non-zero polynomial of degree n has at most n roots in any field K, and the knowledge that x2n has 2 roots in 𝐅p, these roots must be all of the roots in 𝐅p2. It was just shown that x0 and x0 are roots of x2n in 𝐅p2, so it must be that x0,x0𝐅p.[3]

Speed

After finding a suitable a, the number of operations required for the algorithm is 4m+2k4 multiplications, 4m2 sums, where m is the number of digits in the binary representation of p and k is the number of ones in this representation. To find a by trial and error, the expected number of computations of the Legendre symbol is 2. But one can be lucky with the first try and one may need more than 2 tries. In the field 𝐅p2, the following two equalities hold

(x+yω)2=(x2+y2ω2)+((x+y)2x2y2)ω,

where ω2=a2n is known in advance. This computation needs 4 multiplications and 4 sums.

(x+yω)2(a+ω)=(ad2b(x+d))+(d2by)ω,

where d=(x+ya) and b=ny. This operation needs 6 multiplications and 4 sums.

Assuming that p1(mod4), (in the case p3(mod4), the direct computation x±np+14 is much faster) the binary expression of (p+1)/2 has m1 digits, of which k are ones. So for computing a (p+1)/2 power of (a+ω), the first formula has to be used nk1 times and the second k1 times.

For this, Cipolla's algorithm is better than the Tonelli–Shanks algorithm if and only if S(S1)>8m+20, with 2S being the maximum power of 2 which divides p1.[4]

Prime power moduli

According to Dickson's "History Of Numbers", the following formula of Cipolla will find square roots modulo powers of prime: [5] [6]

21qt((k+k2q)s+(kk2q)s)modpλ
where t=(pλ2pλ1+1)/2 and s=pλ1(p+1)/2
where q=10, k=2 as in this article's example

Taking the example in the wiki article we can see that this formula above does indeed take square roots modulo prime powers.

As

10mod1331046

Now solve for 21qt via:

2110(1332132+1)/2mod1331086

Now create the (2+2210)1327mod133 and (22210)1327mod133 (See here for mathematica code showing this above computation, remembering that something close to complex modular arithmetic is going on here)

As such:

(2+2210)1327mod1331540 and (22210)1327mod1331540

and the final equation is:

1086(1540+1540)mod1331046 which is the answer.

References

Template:Reflist

Sources

  • E. Bach, J.O. Shallit Algorithmic Number Theory: Efficient algorithms MIT Press, (1996)

Template:Number theoretic algorithms

  1. ↑ Template:Cite book
  2. ↑ R. Crandall, C. Pomerance Prime Numbers: A Computational Perspective Springer-Verlag, (2001) p. 157
  3. ↑ Template:Cite web
  4. ↑ Template:Cite book
  5. ↑ "History of the Theory of Numbers" Volume 1 by Leonard Eugene Dickson, p218, Chelsea Publishing 1952 read online
  6. ↑ Michelle Cipolla, Rendiconto dell' Accademia delle Scienze Fisiche e Matematiche. Napoli, (3),10,1904, 144-150