Merge pull request #105 from zcash/permutation-construction

[book] Document the algorithm for permutation construction
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@ -8,3 +8,4 @@
- [Gadgets](user/gadgets.md)
- [Tips and tricks](user/tips-and-tricks.md)
- [Design](design.md)
- [Permutation argument](design/permutation.md)

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@ -0,0 +1,126 @@
# Permutation argument
Given that gates in halo2 circuits operate "locally" (on cells in the current row or
defined relative rows), it is common to need to copy a value from some arbitrary cell into
the current row for use in a gate. This is performed with an equality constraint, which
enforces that the source and destination cells contain the same value.
We implement these equality constraints by constructing a permutation that represents the
constraints, and then using a permutation argument within the proof to enforce them.
## Notation
A permutation is a one-to-one and onto mapping of a set onto itself. A permutation can be
factored uniquely into a composition of cycles (up to ordering of cycles, and rotation of
each cycle).
We sometimes use [cycle notation](https://en.wikipedia.org/wiki/Permutation#Cycle_notation)
to write permutations. Let $(a\ b\ c)$ denote a cycle where $a$ maps to $b$, $b$ maps to
$c$, and $c$ maps to $a$ (with the obvious generalisation to arbitrary-sized cycles).
Writing two or more cycles next to each other denotes a composition of the corresponding
permutations. For example, $(a\ b)\ (c\ d)$ denotes the permutation that maps $a$ to $b$,
$b$ to $a$, $c$ to $d$, and $d$ to $c$.
## Constructing the permutation
### Goal
We want to construct a permutation in which each subset of variables that are in a
equality-constraint set form a cycle. For example, suppose that we have a circuit that
defines the following equality constraints:
- $a \equiv b$
- $a \equiv c$
- $d \equiv e$
From this we have the equality-constraint sets $\{a, b, c\}$ and $\{d, e\}$. We want to
construct the permutation:
$$(a\ b\ c)\ (d\ e)$$
which defines the mapping of $[a, b, c, d, e]$ to $[b, c, a, e, d]$.
### Algorithm
We need to keep track of the set of cycles, which is a
[set of disjoint sets](https://en.wikipedia.org/wiki/Disjoint-set_data_structure).
Efficient data structures for this problem are known; for the sake of simplicity we choose
one that is not asymptotically optimal but is easy to implement.
We represent the current state as:
- an array $\mathsf{mapping}$ for the permutation itself;
- an auxiliary array $\mathsf{aux}$ that keeps track of a distinguished element of each
cycle;
- another array $\mathsf{sizes}$ that keeps track of the size of each cycle.
We have the invariant that for each element $x$ in a given cycle $C$, $\mathsf{aux}(x)$
points to the same element $c \in C$. This allows us to quickly decide whether two given
elements $x$ and $y$ are in the same cycle, by checking whether
$\mathsf{aux}(x) = \mathsf{aux}(y)$. Also, $\mathsf{sizes}(\mathsf{aux}(x))$ gives the
size of the cycle containing $x$. (This is guaranteed only for
$\mathsf{sizes}(\mathsf{aux}(x)))$, not for $\mathsf{sizes}(x)$.)
The algorithm starts with a representation of the identity permutation:
for all $x$, we set $\mathsf{mapping}(x) = x$, $\mathsf{aux}(x) = x$, and
$\mathsf{sizes}(x) = 1$.
To add an equality constraint $\mathit{left} \equiv \mathit{right}$:
1. Check whether $\mathit{left}$ and $\mathit{right}$ are already in the same cycle, i.e.
whether $\mathsf{aux}(\mathit{left}) = \mathsf{aux}(\mathit{right})$. If so, there is
nothing to do.
2. Otherwise, $\mathit{left}$ and $\mathit{right}$ belong to different cycles. Make
$\mathit{left}$ the larger cycle and $\mathit{right}$ the smaller one, by swapping them
iff $\mathsf{sizes}(\mathsf{aux}(\mathit{left})) < \mathsf{sizes}(\mathsf{aux}(\mathit{right}))$.
3. Following the mapping around the right (smaller) cycle, for each element $x$ set
$\mathsf{aux}(x) = \mathsf{aux}(\mathit{left})$.
4. Splice the smaller cycle into the larger one by swapping $\mathsf{mapping}(\mathit{left})$
with $\mathsf{mapping}(\mathit{right})$.
For example, given two disjoint cycles $(A\ B\ C\ D)$ and $(E\ F\ G\ H)$:
```plaintext
A +---> B
^ +
| |
+ v
D <---+ C E +---> F
^ +
| |
+ v
H <---+ G
```
After adding constraint $B \equiv E$ the above algorithm produces the cycle:
```plaintext
A +---> B +-------------+
^ |
| |
+ v
D <---+ C <---+ E F
^ +
| |
+ v
H <---+ G
```
### Broken alternatives
If we did not check whether $\mathit{left}$ and $\mathit{right}$ were already in the same
cycle, then we could end up undoing an equality constraint. For example, if we have the
following constraints:
- $a \equiv b$
- $b \equiv c$
- $c \equiv d$
- $b \equiv d$
and we tried to implement adding an equality constraint just using step 4 of the above
algorithm, then we would end up constructing the cycle $(a\ b)\ (c\ d)$, rather than the
correct $(a\ b\ c\ d)$.
## Argument specification
TODO: Document what we do with the permutation once we have it.

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@ -30,6 +30,9 @@ impl Assembly {
columns.push((0..params.n).map(|j| (i, j as usize)).collect());
}
// Before any equality constraints are applied, every cell in the permutation is
// in a 1-cycle; therefore mapping and aux are identical, because every cell is
// its own distinguished element.
Assembly {
mapping: columns.clone(),
aux: columns,
@ -53,9 +56,12 @@ impl Assembly {
return Err(Error::BoundsFailure);
}
// See book/src/design/permutation.md for a description of this algorithm.
let mut left_cycle = self.aux[left_column][left_row];
let mut right_cycle = self.aux[right_column][right_row];
// If left and right are in the same cycle, do nothing.
if left_cycle == right_cycle {
return Ok(());
}
@ -64,6 +70,7 @@ impl Assembly {
std::mem::swap(&mut left_cycle, &mut right_cycle);
}
// Merge the right cycle into the left one.
self.sizes[left_cycle.0][left_cycle.1] += self.sizes[right_cycle.0][right_cycle.1];
let mut i = right_cycle;
loop {