orchard/book/src/design/commitment-tree.md

62 lines
3.0 KiB
Markdown
Raw Normal View History

# Commitment tree
One of the things we learned from Sapling is that having a single global commitment tree
makes life hard for light client wallets. When a new note is received, the wallet derives
its incremental witness from the state of the global tree at the point when the note's
commitment is appended; this incremental state then needs to be updated with every
subsequent commitment in the block in-order. It isn't efficient for a server to
pre-compute and send over the necessary incremental updates for every new note in a block,
and if a wallet requested a specific update from the server it would leak the specific
note that was received.
Orchard addresses this by splitting the commitment tree into several sub-trees:
- Bundle tree, that accumulates the commitments within a single bundle (and thus a single
transaction).
- Block tree, that accumulates the bundle tree roots within a single block.
- Global tree, that accumulates the block tree roots.
Each of these trees has a fixed depth (necessary for being able to create proofs).
Chains that integrate Orchard can decouple the limits on commitments-per-subtree from
higher-layer constraints like block size, by enabling their blocks and transactions to be
structured internally as a series of Orchard blocks or txs (e.g. a Zcash block would
contain a `Vec<BlockTreeRoot>`, that each get appended in-order).
Zcash level: we also bind these roots into the FlyClient history leaves, so that light
clients can assert they are valid independently of the full block.
TODO: Sean is pretty sure we can just improve the Incremental Merkle Tree implementation
to work around this, without domain-separating the tree. If we can do that instead, it may
be simpler.
## Uncommitted leaves
The fixed-depth incremental Merkle trees that we use (in Sprout and Sapling, and again in
Orchard) require specifying an "empty" or "uncommitted" leaf - a value that will never be
appended to the tree as a regular leaf.
- For Sprout (and trees composed of the outputs of bit-twiddling hash functions), we use
the all-zeroes array; the probability of a real note having a colliding note commitment
is cryptographically negligible.
- For Sapling, where leaves are $u$-coordinates of Jubjub points, we use the value $1$
which is not the $u$-coordinate of any Jubjub point.
Orchard note commitments are the $x$-coordinates of Pallas points; thus we take the same
approach as Sapling, using a value that is not the $x$-coordinate of any Pallas point as the
uncommitted leaf value. It happens that $0$ is the smallest such value for both Pallas and
Vesta, because $0^3 + 5$ is not a square in either $F_p$ or $F_q$:
```python
sage: p = 0x40000000000000000000000000000000224698fc094cf91b992d30ed00000001
sage: q = 0x40000000000000000000000000000000224698fc0994a8dd8c46eb2100000001
sage: EllipticCurve(GF(p), [0, 5]).count_points() == q
True
sage: EllipticCurve(GF(q), [0, 5]).count_points() == p
True
sage: Mod(5, p).is_square()
False
sage: Mod(5, q).is_square()
False
```