Ergodic process | Definition with Examples | Random Vibration-5

[@yarenkaya7872]

Crystal clear! if the statistical properties can be deduced from a single sufficiently (namely going to inf) long random sample, then the process is ergodic! This is my 3rd video and I finally heard a satisfying definition. Thank you, sir!

[@DrJulianNewmansChannel]

Regarding your heuristic description prior to your formal definition: if all you need is that the statistics of a sufficiently long time-segment of your one sample path approximate the statistics of the subsequent future behaviour of that same sample path, then I think you don't need ergodicity - just having stationarity is sufficient. Ergodicity will then give that these statistics are the same across the different sample paths (as in your formal definition) 🙂

[@bkquanvu3228]

The best explanation ever, thank you from Việt Nam 😍😍😍

[@kumgaurav0000]

you have a clear concept

[@conceptsinengineering]

Thanks

[@sakthishkumaarmurugan9737]

Clean Explaination

[@nitishdhawan3651]

Bhai so much underrated channel

[@AbdullahAhmad-xc3xl]

Nice explanation, thank you!

[@sramkumar3225]

Very clearly and patiently explained! Thanks a ton!

[@autaulti6883]

Awesome explanation! Thank you very much

[@ericforrest8897]

I'm taking a communications course and my teacher couldn't even explain it this well. Hope I do well on my exam.

[@conceptsinengineering]

Thanks a lot! Good luck for your exam..

[@poojakashyap6608]

One of the best explanations so far. Thank you !!

[@ionutvrabie4920]

Thank you a lot! I was reading Nassim Taleb and ergodicity confused me :)

[@conceptsinengineering]

Glad I could help!

[@trapped_monkey]

Thank you for the explanation. Very clear.

[@reemareema439]

Bro Please can u help me by writing here ,What is the exact definition of band width, standard deviation... Because i didn' understand from the next video.. Thanks alot

[@ssundi]

One of the very nice explanation of erogodic process I have seen. Keep it up man.. God bless you

[@teamdinesh2768]

Super clear! ! Thanks a lot

[@conceptsinengineering]

You're welcome!

[@AnalyseThiswithIO]

This fits well with Nassim Taleb's explanation. I was thinking about tyre punctures in the projected scenario.

[@AnalyseThiswithIO]

A tyre puncture or axle break are catastrophe for the scenario you explained, which Taleb might call a Black Swan.

[@debasiskar4662]

Very good explanation. I was expecting a numerical example based on the very example of driving a car. That would have made things extremely lucid. Thanks.

[@conceptsinengineering]

Thank you. Will look in to that

[@tag_of_frank]

How does this definition relate to the definition that it is a recurrent aperiodic Markov chain?

[@hezi2140]

very clear! Thank you so much!

[@conceptsinengineering]

Glad it was helpful!

[@sjjb9000]

very good.thanks

[@elahehghanati4011]

Thanks a lot. It was so clear and convincing

[@conceptsinengineering]

Thank you.

[@sreyagopakumar7664]

Very clear explanation! Thank you so much!!

[@mohitbhatt6571]

Bro give a video on random vibration of crankshaft

[@mailaralingams7896]

thank you so much sir

[@mdabdullah8819]

Good pronounciation.😀

[@conceptsinengineering]

Ha ha .I know my pronunciation is bad! Will try to improve..