Radial basis function network: Difference between revisions

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In the [[stochastic calculus]], '''Tanaka's formula''' states that
 
:<math>|B_t| = \int_0^t \sgn(B_s)\, dB_s + L_t</math>
 
where ''B''<sub>''t''</sub> is the standard [[Brownian motion]], sgn denotes the [[sign function]]
 
:<math>\sgn (x) = \begin{cases} +1, & x \geq 0; \\ -1, & x < 0. \end{cases}</math>
 
and ''L''<sub>''t''</sub> is its [[Local time (mathematics)|local time]] at 0 (the local time spent by ''B'' at 0 before time ''t'') given by the [[Lp space|''L''<sup>2</sup>-limit]]
 
:<math>L_{t} = \lim_{\varepsilon \downarrow 0} \frac1{2 \varepsilon} | \{ s \in [0, t] | B_{s} \in (- \varepsilon, + \varepsilon) \} |.</math>
 
Tanaka's formula is the explicit [[Doob&ndash;Meyer decomposition theorem|Doob&ndash;Meyer decomposition]] of the submartingale |''B''<sub>''t''</sub>| into the [[martingale (probability theory)|martingale]] part (the [[integral]] on the right-hand side), and a continuous increasing process (local time).  It can also be seen as the analogue of [[Itō's lemma]] for the (nonsmooth) absolute value function <math>f(x)=|x|</math>, with <math> f'(x) = \sgn(x)</math> and <math> f''(x) = 2\delta(x) </math>; see [[Local time (mathematics)|local time]] for a formal explanation of the Itō term.
 
== Outline of proof ==
The [[Function (mathematics)|function]] |''x''| is not [[smooth function|''C''<sup>2</sup>]] in ''x'' at ''x''&nbsp;=&nbsp;0, so we cannot apply [[Itō's formula]] directly. But if we approximate it near zero (i.e. in [&minus;''ε'',&nbsp;''ε'']) by [[parabola]]s
 
:<math>\frac{x^2}{2|\varepsilon|}+\frac{|\varepsilon|}{2}.</math>
 
And using [[Itō's formula]] we can then take the [[Limit (mathematics)|limit]] as ''ε''&nbsp;→&nbsp;0, leading to Tanaka's formula.
 
== References ==
 
* {{cite book
| last = Øksendal
| first = Bernt K.
| authorlink = Bernt Øksendal
| title = Stochastic Differential Equations: An Introduction with Applications
| edition = Sixth edition
| publisher=Springer
| location = Berlin
| year = 2003
| isbn = 3-540-04758-1
}} (Example 5.3.2)
* {{cite book
|    last = Shiryaev
|    first = Albert N.
|authorlink= Albert Shiryaev
|    title = Essentials of stochastic finance: Facts, models, theory
|  series = Advanced Series on Statistical Science &amp; Applied Probability No. 3
|coauthors = trans. N. Kruzhilin
|publisher = World Scientific Publishing Co. Inc.
| location = River Edge, NJ
|    year = 1999
|      isbn = 981-02-3605-0
}}
 
[[Category:Equations]]
[[Category:Martingale theory]]
[[Category:Probability theorems]]

Revision as of 03:56, 29 January 2014

In the stochastic calculus, Tanaka's formula states that

where Bt is the standard Brownian motion, sgn denotes the sign function

and Lt is its local time at 0 (the local time spent by B at 0 before time t) given by the L2-limit

Tanaka's formula is the explicit Doob–Meyer decomposition of the submartingale |Bt| into the martingale part (the integral on the right-hand side), and a continuous increasing process (local time). It can also be seen as the analogue of Itō's lemma for the (nonsmooth) absolute value function , with and ; see local time for a formal explanation of the Itō term.

Outline of proof

The function |x| is not C2 in x at x = 0, so we cannot apply Itō's formula directly. But if we approximate it near zero (i.e. in [−εε]) by parabolas

And using Itō's formula we can then take the limit as ε → 0, leading to Tanaka's formula.

References

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