P-variation

In mathematical analysis, p-variation is a collection of seminorms on functions from an ordered set to a metric space, indexed by a real number $p\geq 1$ . p-variation is a measure of the regularity or smoothness of a function. Specifically, if $f:I\to (M,d)$ , where $(M,d)$ is a metric space and I a totally ordered set, its p-variation is

\|f\|_{p{\text{-var}}}=\left(\sup _{D}\sum _{t_{k}\in D}d(f(t_{k}),f(t_{k-1}))^{p}\right)^{1/p}

where D ranges over all finite partitions of the interval I.

The p variation of a function decreases with p. If f has finite p-variation and g is an α-Hölder continuous function, then $g\circ f$ has finite ${\frac {p}{\alpha }}$ -variation.

The case when p is one is called total variation, and functions with a finite 1-variation are called bounded variation functions.

Link with Hölder norm

One can interpret the p-variation as a parameter-independent version of the Hölder norm, which also extends to discontinuous functions. If f is α–Hölder continuous (i.e. its α–Hölder norm is finite) then its ${\frac {1}{\alpha }}$ -variation is finite. Specifically, on an interval [a,b], $\|f\|_{{\frac {1}{\alpha }}{\text{-var}}}\leq \|f\|_{\alpha }(b-a)^{\alpha }$ . Conversely, if f is continuous and has finite p-variation, there exists a reparameterisation, $\tau$ , such that $f\circ \tau$ is $1/p-$ Hölder continuous.

If p is less than q then the space of functions of finite p-variation on a compact set is continuously embedded with norm 1 into those of finite q-variation. I.e. $\|f\|_{q{\text{-var}}}\leq \|f\|_{p{\text{-var}}}$ . However unlike the analogous situation with Hölder spaces the embedding is not compact. For example, consider the real functions on [0,1] given by $f_{n}(x)=x^{n}$ . They are uniformly bounded in 1-variation and converge pointwise to a discontinuous function f but this not only is not a convergence in p-variation for any p but also is not uniform convergence.

Application to Riemann–Stieltjes integration

If f and g are functions from [a, b] to ℝ with no common discontinuities and with f having finite p-variation and g having finite q-variation, with ${\frac {1}{p}}+{\frac {1}{q}}>1$ then the Riemann–Stieltjes Integral

\int _{a}^{b}f(x)\,dg(x):=\lim _{|D|\to 0}\sum _{t_{k}\in D}f(t_{k})[g(t_{k+1})-g({t_{k}})]

is well-defined. This integral is known as the Young integral because it comes from Young (1936).^[1] The value of this definite integral is bounded by the Young-Loève estimate as follows

\left|\int _{a}^{b}f(x)\,dg(x)-f(\xi )[g(b)-g(a)]\right|\leq C\,\|f\|_{p{\text{-var}}}\|\,g\|_{q{\text{-var}}}

where C is a constant which only depends on p and q and ξ is any number between a and b.^[2] If f and g are continuous, the indefinite integral $F(w)=\int _{a}^{w}f(x)\,dg(x)$ is a continuous function with finite q-variation: If a ≤ s ≤ t ≤ b then $\|F\|_{q{\text{-var}};[s,t]}$ , its q-variation on [s,t], is bounded by $C\|g\|_{q{\text{-var}};[s,t]}(\|f\|_{p{\text{-var}};[s,t]}+\|f\|_{\infty ;[s,t]})\leq 2C\|g\|_{q{\text{-var}};[s,t]}(\|f\|_{p{\text{-var}};[a,b]}+f(a))$ where C is a constant which only depends on p and q.^[3]

Young differential equations

A function from ℝ^d to e × d real matrices is called an ℝ^e-valued one-form on ℝ^d.

If f is a Lipschitz continuous ℝ^e-valued one-form on ℝ^d, and X is a continuous function from the interval [a, b] to ℝ^d with finite p-variation with p less than 2, then the integral of f on X, $\int _{a}^{b}f(X(t))\,dX(t)$ , can be calculated because each component of f(X(t)) will be a path of finite p-variation and the integral is a sum of finitely many Young integrals. It provides the solution to the equation $dY=f(X)\,dX$ driven by the path X.

More significantly, if f is a Lipschitz continuous ℝ^e-valued one-form on ℝ^e, and X is a continuous function from the interval [a, b] to ℝ^d with finite p-variation with p less than 2, then Young integration is enough to establish the solution of the equation $dY=f(Y)\,dX$ driven by the path X.^[4]

Rough differential equations

The theory of rough paths generalises the Young integral and Young differential equations and makes heavy use of the concept of p-variation.

For Brownian motion

p-variation should be contrasted with the quadratic variation which is used in stochastic analysis, where it takes one stochastic process to another. Quadratic variation is defined as a limit as the partition gets finer, whereas p-variation is a supremum over all partitions. Thus the quadratic variation of a process could be smaller than its 2-variation. If W_t is a standard Brownian motion on [0, T] then with probability one its p-variation is infinite for $p\leq 2$ and finite otherwise. The quadratic variation of W is $[W]_{T}=T$ .

References

↑ https://fabricebaudoin.wordpress.com/2012/12/25/lecture-7-youngs-integral/
↑ Friz, Peter K.; Victoir, Nicolas (2010). Multidimensional Stochastic Processes as Rough Paths: Theory and Applications (Cambridge Studies in Advanced Mathematics ed.). Cambridge University Press.
↑ Lyons, Terry; Caruana, Michael; Levy, Thierry (2007). Differential equations driven by rough paths, vol. 1908 of Lecture Notes in Mathematics. Springer.
↑ https://fabricebaudoin.wordpress.com/2012/12/26/lecture-8-youngs-differential-equations/

Young, L.C. (1936), "An inequality of the Hölder type, connected with Stieltjes integration", Acta Mathematica, 67 (1): 251&ndash, 282, doi:10.1007/bf02401743 .

External links

Continuous Paths with bounded p-variation Fabrice Baudoin
On the Young integral, truncated variation and rough paths Rafał M. Łochowski

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[1] ttps://fabricebaudoin.wordpress.com/2012/12/25/lecture-7-youngs-integral/

[2] Friz, Peter K.; Victoir, Nicolas (2010). Multidimensional Stochastic Processes as Rough Paths: Theory and Applications (Cambridge Studies in Advanced Mathematics ed.). Cambridge University Press.

[3] Lyons, Terry; Caruana, Michael; Levy, Thierry (2007). Differential equations driven by rough paths, vol. 1908 of Lecture Notes in Mathematics. Springer.

[4] ttps://fabricebaudoin.wordpress.com/2012/12/26/lecture-8-youngs-differential-equations/