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In stochastic calculus, the Doléans-Dade exponential, Doléans exponential, or stochastic exponential, of a semimartingale ''X'' is defined to be the solution to the stochastic differential equation with initial condition . The concept is named after Catherine Doléans-Dade. It is sometimes denoted by ''(unicode:Ɛ)''(''X''). In the case where ''X'' is differentiable, then ''Y'' is given by the differential equation to which the solution is . Alternatively, if for a Brownian motion ''B'', then the Doléans-Dade exponential is a geometric Brownian motion. For any continuous semimartingale ''X'', applying Itō's lemma with gives : Exponentiating gives the solution : This differs from what might be expected by comparison with the case where ''X'' is differentiable due to the existence of the quadratic variation term The Doléans-Dade exponential is useful in the case when ''X'' is a local martingale. Then, ''(unicode:Ɛ)''(''X'') will also be a local martingale whereas the normal exponential exp(''X'') is not. This is used in the Girsanov theorem. Criteria for a continuous local martingale ''X'' to ensure that its stochastic exponential ''(unicode:Ɛ)''(''X'') is actually a martingale are given by Kazamaki's condition, Novikov's condition, and Beneš' condition. It is possible to apply Itō's lemma for non-continuous semimartingales in a similar way to show that the Doléans-Dade exponential of any semimartingale ''X'' is : where the product extents over the (countable many) jumps of ''X'' up to time ''t''. == See also == * Stochastic logarithm 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Doléans-Dade exponential」の詳細全文を読む スポンサード リンク
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