Thanks. After watching this video, I was thinking to find a random process that is stationary, but not ergodic. I guess this is a valuable question. The process I found is a constant function, x(t) = c, in which c is a random variable with a specific PDF. Thank you for your clear and concise videos about basic, but challenging, concepts.
@iain_explains Жыл бұрын
Yes, that's right. Here's another of my videos on exactly that topic: "Are Stationary Random Processes Always Ergodic?" kzbin.info/www/bejne/pZ_bq6horbqEaqc
@samirbouguerra2626 Жыл бұрын
Thanks a lot for the clear explanation, your channel is gold
@iain_explains Жыл бұрын
I'm so glad you are finding the videos helpful.
@zaedabdulwali5592 Жыл бұрын
Thanks to include some examples
@iain_explains Жыл бұрын
Ergodicity is almost always assumed for a random process, unless there are specific clear reasons why it doesn't hold. Keep an eye out for an upcoming video on the channel that will give an example of when it doesn't hold.
@mq6605 Жыл бұрын
Thank you very much Professor, it's a very clear explanation.
@iain_explains Жыл бұрын
I'm glad you liked it.
@pitmaler4439 Жыл бұрын
Thank you, I think in a stationary process, you can get different characteristics too when you zoom deep enough in the function e.g. take just the area around a lower minimum. That would produce another mean value. Are there any laws that measurements must be long enough?
@iain_explains Жыл бұрын
This will depend on the autocorrelation of the process. For more on this, see: "What is Autocorrelation?" kzbin.info/www/bejne/noDZdmumqqeNgZY
@menRbrave76 ай бұрын
What does time and ensemble average means?
@iain_explains6 ай бұрын
"Time average" is the average over time, for a given realisation. "Ensemble average" is the average over the realisations, for a given time.
@tuyensinhftu32217 ай бұрын
what’s ensemble pdf?
@iain_explains7 ай бұрын
It's the pdf. The word "ensemble" is used to emphasise that the density is across the ensemble of all sample functions ... as opposed to the "time histogram" which is across all time, for a particular sample function.