Set and . Replace the last sampled value by , and call the resulting absolute-increment sum . This is a sum over a genuine partition of an interval of , and
by right continuity. This is the dyadic approximation of total variation. Let be the total variation of a function on , allowing . Every is at most . Conversely, take any finite partition of an interval of . Approximate its interior points from the right by dyadic grid points, retaining the endpoint . For large these approximating points remain distinct, and right continuity makes their absolute-increment sum converge to that of the original partition. The triangle inequality makes at least this selected sum. Taking the supremum over all partitions proves
The limit is the total-variation function; for locally finite variation it is the total-variation process.
There is a missing hypothesis in the assertion about being càdlàg. A general càdlàg function can have infinite total variation of a function arbitrarily close to zero. For example,
is continuous. At the successive points its values alternate in sign with magnitude . The variation along these points dominates a divergent harmonic series. Thus for every , but , so even extended-valued right continuity fails at zero.
The correct càdlàg conclusion holds when has finite variation on every compact interval. Indeed is then finite and nondecreasing, so it has finite left limits. To prove right continuity at , fix and choose a partition of whose sum is within of its variation. If lies before the first interior partition point, changing the first endpoint from to changes that sum by at most . Additivity of total variation of a function therefore gives
Let and then . This proves right continuity. This proves càdlàg regularity of finite total variation. Under that qualification, the jump formula is
If the variation is infinite, a difference of two infinite variation values is not a defined jump.
Fix . By uniform continuity of each path of the continuous local martingale on , its modulus
tends to zero almost surely. For every , comparison of powers of each increment gives
The squared-increment sum converges in probability to , by the dyadic definition of quadratic variation. Including the last full grid interval instead of the last partial interval changes that sum by a quantity bounded by , so the ceiling convention has the same limit. In particular these squared-increment sums are bounded in probability.
Since , a quantity tending to zero almost surely multiplied by a family bounded in probability tends to zero in probability. Hence
This is uniform convergence on compacts in probability, and proves the superquadratic case of dyadic power variation of a continuous local martingale.
Fix the specified time . With the path modulus on as above, comparison of increment powers now gives
The hypothesis makes the second factor eventually bounded almost surely, while the first tends to zero almost surely because . Thus the squared-increment sums tend to zero almost surely. They also converge in probability to the quadratic variation , so uniqueness of the limit in probability implies almost surely.
The quadratic variation is nondecreasing, hence it vanishes throughout . To see explicitly that the continuous local martingale must then be constant, localize it to square-integrable stopped martingales. The Itô isometry gives
Remove the localization, apply the conclusion at every rational , and use continuity. Since , this proves
Thus is indistinguishable from the zero process on that interval. This is the subquadratic case of dyadic power variation of a continuous local martingale.
No quadratic variation argument is needed. For deterministic , the martingale property and square integrability give
Consequently
Apply this identity separately to each consecutive grid increment. The second moments telescope, giving
This uniform bound follows directly from martingale-difference orthogonality, including the final interval specified by the ceiling.

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