Russo-Vallois integral
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In mathematical analysis, the Russo-Vallois integral is an extension of the classical Riemann-Stieltjes integral
for suitable functions f and g. The idea is to replace the derivative g' by the difference quotient
- and to pull the limit out of the integral. In addition one changes the type of convergence.
Definition: A sequence Hn of processes converges uniformly on compact sets in probability to a process H,
- ,
if, for every ε > 0 and T > 0,
- .
On sets:
- ,
and
- .
Definition: The forward integral is defined as the ucp-limit of
- I − : .
Definition: The backward integral is defined as the ucp-limit of
- I + : .
Definition: The generalized bracked is defined as the ucp-limit of
- [f,g]ε: .
For continous semimartingales X,Y and a cadlag function H, the Russo-Vallois integral coincidences with the usual Ito integral:
- .
In this case the generalised bracket is equal to the classical covariation. In the special case, this means that the process
- [X]: = [X,X]
is equal to the quadratic variation process.
Also for the Russo-Vallios-Integral an Ito formula holds: If X is a continuous semimartingale and
- ,
then
- .
By a duality result of Triebel one can provide optimal classes of Besov spaces, where the Russo-Vallois integral can be defined. The norm in the Besov-space
is given by
with the well known modification for . Then the following theorem holds:
Theorem: Suppose
- ,
- ,
- 1 / p + 1 / q = 1 and 1 / p' + 1 / q' = 1.
Then the Russo-Vallois-integral
exists and for some constant c one has
- .
Notice that in this case the Russo-Vallois-integral coincides with the Riemann-Stieltjes integral and with the Young integral for functions with finite p-variation.
[edit] References
- Russo, Vallois: Forward, backward and symmetric integrals, Prob. Th. and rel. fields 97 (1993)
- Russo, Vallois: The generalized covariation process and Ito-formula, Stoch. Proc. and Appl. 59 (1995)
- Zähle; Forward Integrals and SDE, Progress in Prob. Vol. 52 (2002)