pasta_curves-source/book/src/background/pc-ipa.md

Polynomial commitment using inner product argument

We want to commit to some polynomial p(X) \in \mathbb{F}_p[X], and be able to provably evaluate the committed polynomial at arbitrary points. The naive solution would be for the prover to simply send the polynomial's coefficients to the verifier: however, this requires O(n) communication. Our polynomial commitment scheme gets the job done using O(\log n) communication.

Setup

Given a parameter d = 2^k, we generate the common reference string \sigma = (\mathbb{G}, \mathbf{G}, H, \mathbb{F}_p) defining certain constants for this scheme:

• \mathbb{G} is a group of prime order p;
• \mathbf{G} \in \mathbb{G}^d is a vector of d random group elements;
• H \in \mathbb{G} is a random group element; and
• \mathbb{F}_p is the finite field of order p.

Commit

The Pedersen vector commitment \text{Commit} is defined as

\text{Commit}(\sigma, p(X); r) = \langle\mathbf{a}, \mathbf{G}\rangle + [r]H,

for some polynomial p(X) \in \mathbb{F}_p[X] and some blinding factor r \in \mathbb{F}_p. Here, each element of the vector \mathbf{a}_i \in \mathbb{F}_p is the coefficient for the $i$th degree term of p(X), and p(X) is of maximal degree d - 1.

Open (prover) and OpenVerify (verifier)

The modified inner product argument is an argument of knowledge for the relation

\boxed{\{((P, x, v); (\mathbf{a}, r)): P = \langle\mathbf{a}, \mathbf{G}\rangle + [r]H, v = \langle\mathbf{a}, \mathbf{b}\rangle\}},

where \mathbf{b} = (1, x, x^2, \cdots, x^{d-1}) is composed of increasing powers of the evaluation point x. This allows a prover to demonstrate to a verifier that the polynomial contained “inside” the commitment P evaluates to v at x, and moreover, that the committed polynomial has maximum degree d − 1.

The inner product argument proceeds in k = \log_2 d rounds. For our purposes, it is sufficient to know about its final outputs, while merely providing intuition about the intermediate rounds. (Refer to Section 3 in the Halo paper for a full explanation.)

Before beginning the argment, the verifier selects a random group element U and sends it to the prover. We initialise the argument at round k, with the vectors \mathbf{a}^{(k)} := \mathbf{a}, \mathbf{G}^{(k)} := \mathbf{G} and \mathbf{b}^{(k)} := \mathbf{b}. In each round j = k, k-1, \cdots, 1:

• the prover computes two values L_j and R_j by taking some inner product of \mathbf{a}^{(j)} with \mathbf{G}^{(j)} and \mathbf{b}^{(j)}. Note that are in some sense "cross-terms": the lower half of \mathbf{a} is used with the higher half of \mathbf{G} and \mathbf{b}, and vice versa:

\begin{aligned} L_j &= \langle\mathbf{a_{lo}^{(j)}}, \mathbf{G_{hi}^{(j)}}\rangle + [l_j]H + [\langle\mathbf{a_{lo}^{(j)}}, \mathbf{b_{hi}^{(j)}}\rangle] U\ R_j &= \langle\mathbf{a_{hi}^{(j)}}, \mathbf{G_{lo}^{(j)}}\rangle + [l_j]H + [\langle\mathbf{a_{hi}^{(j)}}, \mathbf{b_{lo}^{(j)}}\rangle] U\ \end{aligned}

• the verifier issues a random challenge u_j;
• the prover uses u_j to compress the lower and higher halves of \mathbf{a}^{(j)}, thus producing a new vector of half the original length

  \mathbf{a}^{(j-1)} = \mathbf{a_{hi}^{(j)}}\cdot u_j^{-1} + \mathbf{a_{lo}^{(j)}}\cdot u_j.

  The vectors \mathbf{G}^{(j)} and \mathbf{b}^{(j)} are similarly compressed to give \mathbf{G}^{(j-1)} and \mathbf{b}^{(j-1)}.
• \mathbf{a}^{(j-1)}, \mathbf{G}^{(j-1)} and \mathbf{b}^{(j-1)} are input to the next round j - 1.

Note that at the end of the last round j = 1, we are left with a := \mathbf{a}^{(0)}, G := \mathbf{G}^{(0)}, b := \mathbf{b}^{(0)}, each of length 1. The intuition is that these final scalars, together with the challenges \{u_j\} and "cross-terms" \{L_j, R_j\} from each round, encode the compression in each round. Since the prover did not know the challenges U, \{u_j\} in advance, they would have been unable to manipulate the round compressions. Thus, checking a constraint on these final terms should enforce that the compression had been performed correctly, and that the original \mathbf{a} satisfied the relation before undergoing compression.

Note that G, b are simply rearrangements of the publicly known \mathbf{G}, \mathbf{b}, with the round challenges \{u_j\} mixed in: this means the verifier can compute G, b independently and verify that the prover had provided those same values.