Alien-libsecp256k1
view release on metacpan or search on metacpan
libsecp256k1/doc/safegcd_implementation.md view on Meta::CPAN
# The safegcd implementation in libsecp256k1 explained
This document explains the modular inverse and Jacobi symbol implementations in the `src/modinv*.h` files.
It is based on the paper
["Fast constant-time gcd computation and modular inversion"](https://gcd.cr.yp.to/papers.html#safegcd)
by Daniel J. Bernstein and Bo-Yin Yang. The references below are for the Date: 2019.04.13 version.
The actual implementation is in C of course, but for demonstration purposes Python3 is used here.
Most implementation aspects and optimizations are explained, except those that depend on the specific
number representation used in the C code.
## 1. Computing the Greatest Common Divisor (GCD) using divsteps
The algorithm from the paper (section 11), at a very high level, is this:
```python
def gcd(f, g):
"""Compute the GCD of an odd integer f and another integer g."""
assert f & 1 # require f to be odd
delta = 1 # additional state variable
while g != 0:
assert f & 1 # f will be odd in every iteration
if delta > 0 and g & 1:
delta, f, g = 1 - delta, g, (g - f) // 2
elif g & 1:
delta, f, g = 1 + delta, f, (g + f) // 2
else:
delta, f, g = 1 + delta, f, (g ) // 2
return abs(f)
```
It computes the greatest common divisor of an odd integer *f* and any integer *g*. Its inner loop
keeps rewriting the variables *f* and *g* alongside a state variable *δ* that starts at *1*, until
*g=0* is reached. At that point, *|f|* gives the GCD. Each of the transitions in the loop is called a
"division step" (referred to as divstep in what follows).
For example, *gcd(21, 14)* would be computed as:
- Start with *δ=1 f=21 g=14*
- Take the third branch: *δ=2 f=21 g=7*
- Take the first branch: *δ=-1 f=7 g=-7*
- Take the second branch: *δ=0 f=7 g=0*
- The answer *|f| = 7*.
Why it works:
- Divsteps can be decomposed into two steps (see paragraph 8.2 in the paper):
- (a) If *g* is odd, replace *(f,g)* with *(g,g-f)* or (f,g+f), resulting in an even *g*.
- (b) Replace *(f,g)* with *(f,g/2)* (where *g* is guaranteed to be even).
- Neither of those two operations change the GCD:
- For (a), assume *gcd(f,g)=c*, then it must be the case that *f=a c* and *g=b c* for some integers *a*
and *b*. As *(g,g-f)=(b c,(b-a)c)* and *(f,f+g)=(a c,(a+b)c)*, the result clearly still has
common factor *c*. Reasoning in the other direction shows that no common factor can be added by
doing so either.
- For (b), we know that *f* is odd, so *gcd(f,g)* clearly has no factor *2*, and we can remove
it from *g*.
- The algorithm will eventually converge to *g=0*. This is proven in the paper (see theorem G.3).
- It follows that eventually we find a final value *f'* for which *gcd(f,g) = gcd(f',0)*. As the
gcd of *f'* and *0* is *|f'|* by definition, that is our answer.
Compared to more [traditional GCD algorithms](https://en.wikipedia.org/wiki/Euclidean_algorithm), this one has the property of only ever looking at
the low-order bits of the variables to decide the next steps, and being easy to make
constant-time (in more low-level languages than Python). The *δ* parameter is necessary to
guide the algorithm towards shrinking the numbers' magnitudes without explicitly needing to look
at high order bits.
Properties that will become important later:
- Performing more divsteps than needed is not a problem, as *f* does not change anymore after *g=0*.
- Only even numbers are divided by *2*. This means that when reasoning about it algebraically we
do not need to worry about rounding.
- At every point during the algorithm's execution the next *N* steps only depend on the bottom *N*
bits of *f* and *g*, and on *δ*.
## 2. From GCDs to modular inverses
We want an algorithm to compute the inverse *a* of *x* modulo *M*, i.e. the number a such that *a x=1
mod M*. This inverse only exists if the GCD of *x* and *M* is *1*, but that is always the case if *M* is
prime and *0 < x < M*. In what follows, assume that the modular inverse exists.
It turns out this inverse can be computed as a side effect of computing the GCD by keeping track
of how the internal variables can be written as linear combinations of the inputs at every step
(see the [extended Euclidean algorithm](https://en.wikipedia.org/wiki/Extended_Euclidean_algorithm)).
Since the GCD is *1*, such an algorithm will compute numbers *a* and *b* such that a x + b M = 1*.
Taking that expression *mod M* gives *a x mod M = 1*, and we see that *a* is the modular inverse of *x
mod M*.
A similar approach can be used to calculate modular inverses using the divsteps-based GCD
algorithm shown above, if the modulus *M* is odd. To do so, compute *gcd(f=M,g=x)*, while keeping
track of extra variables *d* and *e*, for which at every step *d = f/x (mod M)* and *e = g/x (mod M)*.
*f/x* here means the number which multiplied with *x* gives *f mod M*. As *f* and *g* are initialized to *M*
and *x* respectively, *d* and *e* just start off being *0* (*M/x mod M = 0/x mod M = 0*) and *1* (*x/x mod M
= 1*).
```python
def div2(M, x):
"""Helper routine to compute x/2 mod M (where M is odd)."""
assert M & 1
if x & 1: # If x is odd, make it even by adding M.
x += M
# x must be even now, so a clean division by 2 is possible.
return x // 2
def modinv(M, x):
"""Compute the inverse of x mod M (given that it exists, and M is odd)."""
assert M & 1
delta, f, g, d, e = 1, M, x, 0, 1
while g != 0:
# Note that while division by two for f and g is only ever done on even inputs, this is
# not true for d and e, so we need the div2 helper function.
if delta > 0 and g & 1:
delta, f, g, d, e = 1 - delta, g, (g - f) // 2, e, div2(M, e - d)
elif g & 1:
delta, f, g, d, e = 1 + delta, f, (g + f) // 2, d, div2(M, e + d)
else:
delta, f, g, d, e = 1 + delta, f, (g ) // 2, d, div2(M, e )
# Verify that the invariants d=f/x mod M, e=g/x mod M are maintained.
assert f % M == (d * x) % M
assert g % M == (e * x) % M
assert f == 1 or f == -1 # |f| is the GCD, it must be 1
# Because of invariant d = f/x (mod M), 1/x = d/f (mod M). As |f|=1, d/f = d*f.
return (d * f) % M
```
( run in 1.016 second using v1.01-cache-2.11-cpan-ceb78f64989 )