PYQs on Markov Chain | June 2011 - 2023 | Fully Short Cut Tricks

PYQs on Markov Chain from June 2011 - 2022 explained with short cut tricks
#csirnetmathematicalscience #csirnet #markovchain

[@Jazkahn]

really appreciate what you are doing. This will be super helpful. Thank you

[@ankitkumar-pq1xg]

Sir please upload the video on linear algebra part 2

[@biswajitsingha8574]

For Feb-2022 (1:34:30) you assumed P= Identity Matrix [1 0 , 0 1] But that was not Irreducible Markov Chain. (Said in the question)

[@NikitaRathee-ml6qn]

Thank you sir ..for clearing every single point .and giving tips with each question.. which are really helpful

[@SADDAMHUSSAIN-mw3cv]

For option (a) we have counter example for states 1 and2. P= [0 1 1 0] orthogonal matrix. Here states 1 and 2 are recurrent

[@tisrotadharchowdhury8771]

If a transition probability matrix is just doubly stochastic, it does not necessarily imply that the markov chain has unique and uniform stationary distribution. Uniqueness follows from irreducibility (assuming that the markov chain is finite, ofc). If it is irreducible, then aperodicity implies that the unique st. dist. is 1/n for each state. So just checking if the matrix is doubly stochastic isn't enough. Checking if it is irreducible and aperiodic is also needed to conclude whether the st. dist. is 1/n or not.

[@sunnysolhan1020]

Thanku so much sir , upload one lecture of modern algebra ( Group theory , sylow package and ring theory.) if possible.Your video lectures are very helpful.

[@KajalTripathi-b4k]

Yes.

[@anujrawat3046]

your tricks are really helpful thankyou so much sir

[@pmounika3750]

Nice explanation sir...clearly understood. .thank you sir

[@DrHarishGarg]

You're most welcome

[@shaistha1346]

Thank you so much sir for this wonderful video

[@my_thoughts_to_you]

Sir can you check 106 question again? You prove it with a particular example .but in general is it true? Please guide sir

[@arbajpathan4739]

Thank you so much sir .. Very well explained ✨✨

[@ishadevi2071]

Thnku so much sir 😊

[@sanjudas5294]

35:55 the answer is calculated on X1 = 1 but is asking for X1=2. However none of the answers seem correct anyway

[@shweta9227]

Thank you sir🙏

[@bakulmanna7123]

Thank you so much sir ❤

[@SADDAMHUSSAIN-mw3cv]

1:42:46

[@sonaligoud-de1cj]

Thanks lot sir 🙏🙏🙏🙏🙏

[@priyachinnupriyachinnu1347]

Thank you so much sir

[@tuhinaghorui7766]

Thanku so much sir.....

[@rashmimalik9769]

Super sir

[@vasantinakum2273]

Thank you sir

[@komalshekhawat7171]

At 29:30 the Markov chain is double stochastic as sum and column row is 1. Does not it means that they are unique stationary

[@sanjudas5294]

No, it only means that there is one stationary probability which can be found using the given trick i.e. 1/no of states

[@Maths-Stats-By-BB-Sir]

One thing not clear to me. In one question sir said chain is reducible and so stationary probability distribution does not exist and in another question in 1.27.20 second he said reducible mc so stationary probability distribution exits. Which one is true ????

[@abisrockers6911]

Csir net June 17..in 106 th que opt 3 is false sir

[@hajeeranasreenqueenofscience]

1:25:26 options b is correct because 0,2,&6 are recurrent only 4 is transient.Am i correct sir ?

[@anubhutivasisht567]

Modern algebra video please

[@biswajitsingha8574]

(1:43:10). June-2017 You said every states are transient. And you gave an example, where state-0 is Transient. It's ok. But State-1 is Recurrent( according to your example), but you were saying it's transient. In finite case every state can't be transients. At least one should be recurrent. (I think if it's infinitely countable then it may have, other wise opt-c incorrect.)

[@Sanchita1501]

B &C right 👍

[@rameshpadala82]

Sir can you send me csir net question paper sampling techniques and design of experiments solution

[@4kfilms614]

1:24:16 how state 0 is transient while through diagram it is recurrent

[@Siyagupta52]

If you go from 0-2-4-6 but can't come back to zero hence transient

[@priyaGoyanka]

30:09 yha initial prob. Ku nhi li ??

[@Jyotisingh2234-s7w]

Sir please make video on theory of markov chain

[@DrHarishGarg]

Already 5 lectures on Theory of Markov chain uploaded....

[@Jyotisingh2234-s7w]

@@DrHarishGarg Ok sir l will check it. Thank you very much.

[@abhijeetkumarmaurya4697]

Sir please please refer a book for stochastic process except J medhi

[@DrHarishGarg]

J Medium is the best book

[@harjinderpal4373]

Sir please make a one shot video for LPP also.

[@DrHarishGarg]

Dear.... I suggest you can watch my previous LPP based videos related to Gate examination... They are more than enough and all short cut tricks explianed in Their respective year wise video.

[@harjinderpal4373]

Okay sir...... and thank you for your feedback 🙏

[@akhileshbauddh7596]

Hindi language me sir explain kijiye

[@asmaaasmagb9333]

please sir I send you a message in your email about PSO optimization please answered me

[@SumitKumar-qi2vc]

Question no 106 me at least one transient state ho ye kaise bolenge ager 1,2 dono self loop wale ho toh??

[@mdnuralam015]

Q.n 106 b&c are correct.

[@completeknowledgeforlife5972]

Thanks sir 👌👌👌❤🙏