The Itô formula decomposes the smooth transform into a continuous local martingale and a finite-variation process:
If has finite variation, then also has finite variation. A continuous finite-variation local martingale is constant, so and
It remains to show that the second-order term vanishes; the preceding observation alone does not establish this.
Let . By the occupation-times formula for the local time of a semimartingale,
Therefore for almost every . Also for almost every : if and , continuity of makes strictly monotone in a neighborhood of , so that zero is isolated. Such isolated zeros form a countable set. Localizing to bounded paths and finite quadratic variation, then using the occupation-times formula once more, gives
Both terms in the Itô formula now vanish. Apply this on all rational times and use continuity to obtain the simultaneous conclusion
This is the finite-variation smooth transform of a continuous local martingale property.
There is an initial-value qualification in the printed conclusion. As written, nothing requires . For example, and satisfy the hypotheses, because is a local martingale, but is not . The correct variance is ; the printed formula holds under the usual normalization .
Indeed, is a continuous local martingale. Subtracting it from shows that is a continuous local martingale with finite variation, hence is its initial constant . Thus
In particular, is deterministic, continuous, nonnegative and increasing, regardless of the apparent allowance of a general finite-variation process in the premise.
For a real parameter , the Itô formula gives the complex local martingale
On every deterministic interval , its modulus is at most , so its real and imaginary parts are bounded local martingales, hence true martingales. Taking expectations and using yields
By the uniqueness theorem for characteristic functions,
A zero variance means the point mass at zero. This proves the requested normalized version by a direct characteristic function calculation.

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