Chris Priest [ARCHIVE] on Nostr: 📅 Original date posted:2017-02-23 📝 Original message:On 2/22/17, Peter Todd via ...
📅 Original date posted:2017-02-23
📝 Original message:On 2/22/17, Peter Todd via bitcoin-dev
<bitcoin-dev at lists.linuxfoundation.org> wrote:
> Reposting something that came up recently in a private discussion with some
> academics:
>
> Concretely, let's define a prunable MMR with the following grammar. This
> definition is an improvement on whats in the python-proofmarshal by
> committing
> to the number of items in the tree implicitly; an obvious max-log2(n)-sized
> proof-of-tree-size can be obtained by following the right-most nodes:
>
> Maybe(T) := UNPRUNED <T> | PRUNED <Commitment(T)>
>
> FullNode(0) := <Value>
> FullNode(n) := <Maybe(FullNode(n-1)> <Maybe(FullNode(n-1))>
>
> PartialNode(0) := SOME <FullNode(0)> | NONE
> PartialNode(n) := <Maybe(FullNode(n-1))> <Maybe(PartialNode(n-1))>
>
> MMR := FULL <N> <FullNode(n)> | PARTIAL <N> <PartialNode(n)>
>
> Basically we define it in four parts. First we define Maybe(T) to represent
> pruned and unpruned (hash only) data. Secondly we define full nodes within
> 2^n
> sized trees. Third we define partial nodes. And finally we define the MMR
> itself as being either a full or partial node.
>
> First of all, with pruning we can define a rule that if any operation
> (other
> than checking commitment hashes) attempts to access pruned data, it should
> immediately fail. In particular, no operation should be able to determine
> if
> data is or isn't pruned. Equally, note how an implementation can keep track
> of
> what data was accessed during any given operation, and prune the rest,
> which
> means a proof is just the parts of the data structure accessed during one
> or
> more operations.
>
> With that, notice how proving the soundness of the proofs becomes trivial:
> if
> validation is deterministic, it is obviously impossible to construct two
> different proofs that prove contradictory statements, because a proof is
> simply
> part of the data structure itself. Contradiction would imply that the two
> proofs are different, but that's easily rejected by simply checking the hash
> of
> the data.
>
> --
> https://petertodd.org 'peter'[:-1]@petertodd.org
>
What problem does this try to solve, and what does it have to do with bitcoin?
📝 Original message:On 2/22/17, Peter Todd via bitcoin-dev
<bitcoin-dev at lists.linuxfoundation.org> wrote:
> Reposting something that came up recently in a private discussion with some
> academics:
>
> Concretely, let's define a prunable MMR with the following grammar. This
> definition is an improvement on whats in the python-proofmarshal by
> committing
> to the number of items in the tree implicitly; an obvious max-log2(n)-sized
> proof-of-tree-size can be obtained by following the right-most nodes:
>
> Maybe(T) := UNPRUNED <T> | PRUNED <Commitment(T)>
>
> FullNode(0) := <Value>
> FullNode(n) := <Maybe(FullNode(n-1)> <Maybe(FullNode(n-1))>
>
> PartialNode(0) := SOME <FullNode(0)> | NONE
> PartialNode(n) := <Maybe(FullNode(n-1))> <Maybe(PartialNode(n-1))>
>
> MMR := FULL <N> <FullNode(n)> | PARTIAL <N> <PartialNode(n)>
>
> Basically we define it in four parts. First we define Maybe(T) to represent
> pruned and unpruned (hash only) data. Secondly we define full nodes within
> 2^n
> sized trees. Third we define partial nodes. And finally we define the MMR
> itself as being either a full or partial node.
>
> First of all, with pruning we can define a rule that if any operation
> (other
> than checking commitment hashes) attempts to access pruned data, it should
> immediately fail. In particular, no operation should be able to determine
> if
> data is or isn't pruned. Equally, note how an implementation can keep track
> of
> what data was accessed during any given operation, and prune the rest,
> which
> means a proof is just the parts of the data structure accessed during one
> or
> more operations.
>
> With that, notice how proving the soundness of the proofs becomes trivial:
> if
> validation is deterministic, it is obviously impossible to construct two
> different proofs that prove contradictory statements, because a proof is
> simply
> part of the data structure itself. Contradiction would imply that the two
> proofs are different, but that's easily rejected by simply checking the hash
> of
> the data.
>
> --
> https://petertodd.org 'peter'[:-1]@petertodd.org
>
What problem does this try to solve, and what does it have to do with bitcoin?