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Probability

Transition Matrices for Markov Chains

Learn how transition matrices represent state changes in Markov chains, why rows sum to 1, and how to multiply a state vector to predict the next distribution.

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Problem

Transition matrix

Step 1: Define the Transition Matrix

A transition matrix describes the probabilities of moving between states in a system. Each entry PijP_{ij} represents the probability of moving from state ii to state jj.

Step 2: Check Row Sums

Every row of a transition matrix must sum to exactly 11, since the total probability of moving from any given state to all possible next states is 11.

Step 3: Find the Next State Distribution

To find the next state distribution, multiply the current state vector by the transition matrix:

v1=v0Pv_1 = v_0 P

Concepts

Data Analysis and Distributions

Probability distributions assign probabilities to each possible outcome. The expected value E(X)E(X) gives the long-run average outcome. Used for making informed decisions.

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