Tanaka equation

In today's world, Tanaka equation has become a topic of utmost importance and relevance in various spheres of life. Both on a personal and professional level, Tanaka equation has generated a great impact and has aroused great interest in the public. There are numerous studies, research and debates surrounding Tanaka equation, demonstrating its importance and the need to understand it in depth. In this article, we will explore different aspects related to Tanaka equation, analyzing its influence on current society and its possible evolution in the future. In addition, we will reflect on the possible implications and consequences of Tanaka equation in our daily lives, as well as in the development of various industries and sectors.

In mathematics, Tanaka's equation is an example of a stochastic differential equation which admits a weak solution but has no strong solution. It is named after the Japanese mathematician Hiroshi Tanaka (Tanaka Hiroshi).

Tanaka's equation is the one-dimensional stochastic differential equation

driven by canonical Brownian motion B, with initial condition X0 = 0, where sgn denotes the sign function

(Note the unconventional value for sgn(0).) The signum function does not satisfy the Lipschitz continuity condition required for the usual theorems guaranteeing existence and uniqueness of strong solutions. The Tanaka equation has no strong solution, i.e. one for which the version B of Brownian motion is given in advance and the solution X is adapted to the filtration generated by B and the initial conditions. However, the Tanaka equation does have a weak solution, one for which the process X and version of Brownian motion are both specified as part of the solution, rather than the Brownian motion being given a priori. In this case, simply choose X to be any Brownian motion and define by

i.e.

Hence,

and so X is a weak solution of the Tanaka equation. Furthermore, this solution is weakly unique, i.e. any other weak solution must have the same law.

Another counterexample of this type is Tsirelson's stochastic differential equation.

References

  • Øksendal, Bernt K. (2003). Stochastic Differential Equations: An Introduction with Applications (Sixth ed.). Berlin: Springer. ISBN 3-540-04758-1. (Example 5.3.2)