Is Markov process a Brownian process?

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Discussion Overview

The discussion revolves around the relationship between Markov processes and Brownian processes, specifically questioning whether a Markov process can be classified as a Brownian process. Participants explore the definitions and properties of both types of processes, touching on their mathematical and real-world implications.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants note that while Brownian motion can be shown to be a Markov process, the reverse may not hold true, as there are many Markov processes that are not Brownian processes.
  • It is mentioned that Brownian motion is continuous, whereas discrete processes can also exhibit the Markov property.
  • One participant highlights that Brownian motion is a simple example of a Markov process, but not all Markov processes are Brownian, citing geometric Brownian motion as an example used in finance.
  • There is a discussion about the continuity of Brownian motion, with some participants stating that sample paths are continuous almost surely, while others argue that real processes may not be continuous due to the nature of discrete sampling.
  • Participants express confusion regarding the definitions of Brownian and Wiener processes, with some clarifying that they are often treated as equivalent in mathematical contexts.
  • It is proposed that there are Markov processes known as Ito diffusions that are not Brownian motions, which can resemble Brownian motion under certain conditions.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether all Markov processes can be classified as Brownian processes. Multiple competing views remain regarding the definitions and properties of these processes.

Contextual Notes

There are limitations in the discussion regarding the definitions of processes and the assumptions underlying their properties, particularly concerning continuity and the nature of real processes versus mathematical models.

woundedtiger4
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Hi all,

I know that Brownian process can be shown as Markov process but is the converse possible? I mean can we show that a markov process is a brownian process?

Thanks in advance.
 
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There are discrete processes with the Markov property. Brownian motion is continuous.
 
mathman said:
There are discrete processes with the Markov property. Brownian motion is continuous.

Sorry, I didn't understand.
The book I am reading shows Brownian as Markov.
 
woundedtiger4 said:
Hi all,

I know that Brownian process can be shown as Markov process but is the converse possible? I mean can we show that a markov process is a brownian process?

Thanks in advance.

Not sure what you mean by a Brownian process but if you mean a Weiner process then there are many Markov processes that are not Weiner processes. For instance,in finance, geometric Brownian motions are commonly use to model securities prices.
 
Last edited:
mathman said:
Brownian motion is continuous.

I believe in the scale large enough Brownian motions are indistinguishable from (continuous) diffusion, but on microscopic scale it is just a random walk.

Edit: but then perhaps I am thinking about a real process, and you are thinking about a mathematical model.
 
Borek said:
I believe in the scale large enough Brownian motions are indistinguishable from (continuous) diffusion, but on microscopic scale it is just a random walk.

Edit: but then perhaps I am thinking about a real process, and you are thinking about a mathematical model.

In general, Brownian motion in mathematics is not necessarily continuous. Sample paths are only continuous almost surely. There is a version of it where the paths are continuous.

As far as real processes are concerned, you do not know whether they are continuous or not since you never have anything except discrete samples of them. For instance, even though stock prices are recorded in discrete jumps, the underlying process may be continuous or may be a continuous time process.
 
woundedtiger4 said:
Sorry, I didn't understand.
The book I am reading shows Brownian as Markov.
You misunderstood what mathman wrote. Brownian motion is a simple example of a Markov process. He picked one example of a Markov process that is not a Wiener process.

That all Ys are Xs does not necessarily mean that all Xs are Ys.
 
lavinia said:
Not sure what you mean by a Brownian process but if you mean a Weiner process then there are many Markov processes that are not Weiner processes. For instance,in finance, geometric Brownian motions are commonly use to model securities prices.

sorry I mean Weiner processes (I am assuming that the mathematical treatment of Brownian is Weiner). The text shows that Brownian (with Gaussian distribution & 0 mean) is martingale, and a local martingale is a Brownian (with Gaussian distribution & 0 mean).
Similarly, the text shows that the Brownian (with Gaussian distribution & 0 mean) is a Markov process, now my question is that is it necessary for a Markov process to be a Brownian (with Gaussian distribution & 0 mean). I believe that in your reply you said that it is not necessary for a Markov process to be a Brownian (with Gaussian distribution & 0 mean) & then you have given the example of geometric Brownian motions, am I correct?
 
lavinia said:
In general, Brownian motion in mathematics is not necessarily continuous. Sample paths are only continuous almost surely. There is a version of it where the paths are continuous.

As far as real processes are concerned, you do not know whether they are continuous or not since you never have anything except discrete samples of them. For instance, even though stock prices are recorded in discrete jumps, the underlying process may be continuous or may be a continuous time process.

what are real processes?
 
  • #10
woundedtiger4 said:
what are real processes?

I think Borek is talking a process that actually exists in nature as opposed to one that is a mathematical curiosity or representation on paper (that either doesn't exist or at hasn't yet been observed).
 
  • #11
chiro said:
I think Borek is talking a process that actually exists in nature as opposed to one that is a mathematical curiosity or representation on paper (that either doesn't exist or at hasn't yet been observed).

thanks
 
  • #12
thanks everyone for very good explanation
 
  • #13
woundedtiger4 said:
I believe that in your reply you said that it is not necessary for a Markov process to be a Brownian (with Gaussian distribution & 0 mean) & then you have given the example of geometric Brownian motions, am I correct?

Correct. More generally there are Markov processes that are called Ito diffusions that are not Brownian motions. Infinitesimally they look like a Brownian motion multiplied by a function plus a drift term.
 
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  • #14
lavinia said:
Correct. More generally there are Markov processes that are called Ito diffusions that are not Brownian motions. Infinitesimally they look like a Brownian motion multiplied by a function plus a drift term.

Sir, thank you so much for great help.

Can you please tell me that what is Geometric Brownian motion, I have tried to read it on google & wiki but unfortunately I can't understand the concept.
 

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