Consider a random walk on a one dimensional space with states {A, B,C, D}, which in general moves left and right with respective probabilities q and p. If the walker is at state A, it will transit to state B on the next step. Analogously, if the walker is at state D, it will transit to state C on the next step. Formulate the transition probability matrix of this random walk by taking into account the boundaries that may exist. Are there any absorbing states in this Markov chain?

function 2 has a greater rate of change than function 1

function 2 has a greater y-intercept than function 1

step-by-step explanation:

a: 1/6, j: 1/4

step-by-step explanation: you are welcome

.632

step-by-step explanation:

6 * 1/10 = 3/5

3*0.01 = 0.03

3/5 + 0.03 = .63

2*0.002 = .002

.63 + 0.002 = .632

whole numbers.

step-by-step explanation:

we are given the average monthly rainfall (in millimeters) model r(m) for the years 1900-2009 as a function of the month number m.

as we can see m is taken for the number of months for years 1900-2009.

we know that number of months can't be a negative number or decimal number or a fraction.

so, the number of months could be only positive whole numbers.

therefore, whole numbers is more appropriate for the domain of r.