One-dimensional Brownian motion and the three-dimensional Bessel process

1974 ◽  
Vol 6 (02) ◽  
pp. 223-224 ◽  
Author(s):  
J. W. Pitman
1975 ◽  
Vol 7 (03) ◽  
pp. 511-526 ◽  
Author(s):  
James W. Pitman

A simple path transformation is described which connects one-dimensional Brownian motion with the radial part of three-dimensional Brownian motion. This provides simple proofs of various path decompositions for these processes described by David Williams.


1975 ◽  
Vol 7 (3) ◽  
pp. 511-526 ◽  
Author(s):  
James W. Pitman

A simple path transformation is described which connects one-dimensional Brownian motion with the radial part of three-dimensional Brownian motion. This provides simple proofs of various path decompositions for these processes described by David Williams.


1984 ◽  
Vol 16 (04) ◽  
pp. 920-922
Author(s):  
P. Salminen

It is well known that the law of a Brownian motion started from x > 0 and conditioned never to hit 0 is identical with the law of a three-dimensional Bessel process started from x. Here we show that a similar description is valid for all linear Ornstein–Uhlenbeck Brownian motions. Further, using the same techniques, it is seen that we may construct a non-stationary Ornstein–Uhlenbeck process from a stationary one.


2015 ◽  
Vol 47 (1) ◽  
pp. 210-230 ◽  
Author(s):  
Hongzhong Zhang

The drawdown process of a one-dimensional regular diffusion process X is given by X reflected at its running maximum. The drawup process is given by X reflected at its running minimum. We calculate the probability that a drawdown precedes a drawup in an exponential time-horizon. We then study the law of the occupation times of the drawdown process and the drawup process. These results are applied to address problems in risk analysis and for option pricing of the drawdown process. Finally, we present examples of Brownian motion with drift and three-dimensional Bessel processes, where we prove an identity in law.


1984 ◽  
Vol 21 (3) ◽  
pp. 500-510 ◽  
Author(s):  
J.-P. Imhof

Joint densities concerning in particular the value and time of the maximum over a fixed time interval, or the behavior over intervals determined by some first- and last-passage times, are determined for Brownian motion, the three-dimensional Bessel process and Brownian meander. Simple change of measure formulas permit easy passage from one process to the other. Examples are given.


1994 ◽  
Vol 31 (4) ◽  
pp. 911-920 ◽  
Author(s):  
Servet Martinez ◽  
Jaime San Martin

We prove that the quasi-invariant measures associated to a Brownian motion with negative drift X form a one-parameter family. The minimal one is a probability measure inducing the transition density of a three-dimensional Bessel process, and it is shown that it is the density of the limit distribution limt→∞Px(X A | τ > t). It is also shown that the minimal quasi-invariant measure of infinite mass induces the density of the limit distribution ) which is the law of a Bessel process with drift.


1984 ◽  
Vol 21 (03) ◽  
pp. 500-510 ◽  
Author(s):  
J.-P. Imhof

Joint densities concerning in particular the value and time of the maximum over a fixed time interval, or the behavior over intervals determined by some first- and last-passage times, are determined for Brownian motion, the three-dimensional Bessel process and Brownian meander. Simple change of measure formulas permit easy passage from one process to the other. Examples are given.


1994 ◽  
Vol 31 (04) ◽  
pp. 911-920 ◽  
Author(s):  
Servet Martinez ◽  
Jaime San Martin

We prove that the quasi-invariant measures associated to a Brownian motion with negative drift X form a one-parameter family. The minimal one is a probability measure inducing the transition density of a three-dimensional Bessel process, and it is shown that it is the density of the limit distribution lim t→∞ P x (X A | τ > t). It is also shown that the minimal quasi-invariant measure of infinite mass induces the density of the limit distribution ) which is the law of a Bessel process with drift.


2015 ◽  
Vol 47 (01) ◽  
pp. 210-230 ◽  
Author(s):  
Hongzhong Zhang

The drawdown process of a one-dimensional regular diffusion processXis given byXreflected at its running maximum. The drawup process is given byXreflected at its running minimum. We calculate the probability that a drawdown precedes a drawup in an exponential time-horizon. We then study the law of the occupation times of the drawdown process and the drawup process. These results are applied to address problems in risk analysis and for option pricing of the drawdown process. Finally, we present examples of Brownian motion with drift and three-dimensional Bessel processes, where we prove an identity in law.


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