Use the truncated tensor algebra , with truncated concatenation product. The step- path signature is
These iterated integrals of a path exist as Riemann-Stieltjes integrals, since a Lipschitz continuous path on a compact interval has bounded variation. The degree-zero coordinate is , and the degree-one coordinate is .
Let and write for its degree- coordinate. Integrating first over all variables except the last gives
Thus for . If is a standard basis vector, define the linear vector field , with degrees above discarded. The component identities are precisely the controlled ordinary differential equation
For a Lipschitz driver this may also be written almost everywhere. Recursive integration of its levels proves uniqueness and recovers the signature formula. The Chen identity follows by splitting each integration simplex at an intermediate time.
Let be a weak geometric p-rough path, , with increments indexed by words of length at most . Choose a control function for rough paths with . We use the standard sufficient vector-field hypothesis , , with globally bounded regularity norms; smooth bounded fields are a special case. Regard as the differential operator , and put .
A pathlevel solution of a rough differential equation is a continuous state path , with prescribed , satisfying a local expansion
for some on sufficiently small control intervals. One can take under the stated regularity. This definition specifies the state path, without requiring its full rough-path enhancement as additional data. For , the displayed expansion reads
Repeated indices are summed.
We use the following discrete form of the Davie lemma. For a finite ordered grid and a continuous superadditive control, suppose nonnegative errors vanish on adjacent grid points and, for every grid triple , satisfy
There are and , depending on but not on the grid, such that whenever . This is the discrete higher-order error estimate: splitting close to half the control size makes the two -power errors contract; a crossing single grid interval contributes zero adjacent error.
Define the local Euler map
For small it has Lipschitz constant at most . Taylor expansion, the Chen identity and the shuffle identity for iterated integrals give the composition estimate
Here is the cancellation underlying the estimate. Assign degree to a level- increment. Expanding each and grouping terms through degree gives the differential-operator coefficients multiplying . Products of coefficients from the first increment are combined by the shuffle identity, which is the iterated Leibniz rule. Chen's identity says that the sum of these products is . Thus every term of degree at most agrees with the corresponding term in . The remaining Taylor terms have control order at least ; bounded norms make the estimate uniform in . For smooth fields the remainder has order .
On a partition , construct the Euler sequence by . For grid endpoints let
It vanishes on adjacent points. Insert into the next local map. The Lipschitz and composition estimates give
The Davie lemma therefore yields a bound independent of on small control intervals. Together with the Euler expansion this gives . A finite subdivision into small-control intervals gives a uniform global bound as well.
Interpolate each Euler sequence linearly in time, and take partitions with mesh tending to zero. Continuity of the control makes these paths uniformly equicontinuous: the grid estimates apply to the interval enlarged to its neighboring grid endpoints, and the enlargement tends to zero uniformly with the mesh. The paths are uniformly bounded. The Arzelà-Ascoli theorem supplies a uniformly convergent subsequence with continuous limit .
For arbitrary in a small control interval, choose neighboring grid endpoints converging to . Continuity of , the coefficient functions and the control lets us pass to the limit in the grid error estimate. We obtain the defining expansion with , and . This constructs a pathlevel RDE solution. No continuity theorem for the RDE solution map was used to obtain existence.

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