In Euclidean spaces, a set C is called a convex set if for all x and y in C, the line segment connecting x and y is included in C. In other words, the affine combination tx p1 tqy belongs to C, for all x, y P C, and t P r0, 1s. Prove that if a Markov Chain has stationary distribution, then all stationary distribution of this Markov Chain is a convex set. (b) Let pXnqn0,1,2 be a Markov chain with state space S t1, 2, , Nu. The sum of each column of the stochastic probability matrix P is 1, i. e. ¸ N i1 Pij 1, for all j Show that if this Markov chain is aperiodic and irreducible, then the stationary distribut

the rocket cannot penetrate the ground, in a contextual sense, therefore the roots of this equation should be the domain of this function. i'll let you find the roots of this quadratic equation (hint: use the quadratic formula:  

1- c

2-a

step-by-step explanation:

mark brainliest!

hello! just here for points! though i wish i knew!

this is a direct variation proportion. y = kx

y is the total amount due, k is the constant of variation, and x is the number of texts sent.

plug in the 3.20 and the 16 to solve for the "k". this is the constant of proportionality. it is the value that will not change.

3.20 = k(16). solving you get $.20 per text.

the equation would then be y = .20x