Linear Algebra 2.5 Markov Chains

In this video, we explore the concept of Markov chains. We use a probability transition matrix that represents the probability of a member of the population moving from one "state" to another "state" to determine the population distribution after n iterations. Video Chapters: 0:00 Introduction 0:07 A Sample Problem 1:27 Stochastic matrices 4:46 Which Matrices are Stochastic? 6:44 nth State Matrix of a Markov Chain 9:15 Practice Finding the nth State of a Markov Chain 12:22 Back to the Satellite TV Example (Leading up to Steady State) 14:43 Regular Stochastic Matrix 16:32 Finding a Steady State Matrix 22:32 Practice Finding a Steady State Matrix 26:14 Absorbing State 29:13 Absorbing Markov Chains 31:50 Finding a Steady State Matrix For Absorbing Markov Chains 36:17 Practice Finding a Steady State Matrix For Absorbing Markov Chains 43:24 Up Next Textbook: Elementary Linear Algebra 8e, Ron Larson Slide Decks: https://bellevueuniversity-my.sharepo... Playlist:    • Linear Algebra (Full Course)