1. ## Population model

The question is stated exactly as follows:

"Suppose $\displaystyle A$ has a strictly dominant eigenvalue $\displaystyle \lambda_1$. Age class evolution is given by: $\displaystyle x^{(k)} = Ax^{(k-1)}$. Initial Population is $\displaystyle x^{(0)}$.

Initially, let $\displaystyle x^{(0)}$ be the linear combination $\displaystyle a_1x_1 + a_2x_2 + ... + a_nx_n$, of A's linearly independent eigenvectors, with each constant $\displaystyle a_i \neq 0$. Find two expressions for the population distribution $\displaystyle x^{(1)}$ after one generation; one using products involving matrix $\displaystyle A$, the other in terms of $\displaystyle A$'s eigenvalues."

Now, the question is a little blurry, and so I've come to an answer of which i'm not sure if is correct...

Expression #1 => $\displaystyle x^{(1)}$ = $\displaystyle Ax^{(0)}$
Expression #2 => $\displaystyle x^{(1)}$ = $\displaystyle \lambda x^{(0)}$

Many thanks

2. Originally Posted by tsal15
The question is stated exactly as follows:

"Suppose $\displaystyle A$ has a strictly dominant eigenvalue $\displaystyle \lambda_1$. Age class evolution is given by: $\displaystyle x^{(k)} = Ax^{(k-1)}$. Initial Population is $\displaystyle x^{(0)}$.

Initially, let $\displaystyle x^{(0)}$ be the linear combination $\displaystyle a_1x_1 + a_2x_2 + ... + a_nx_n$, of A's linearly independent eigenvectors, with each constant $\displaystyle a_i \neq 0$. Find two expressions for the population distribution $\displaystyle x^{(1)}$ after one generation; one using products involving matrix $\displaystyle A$, the other in terms of $\displaystyle A$'s eigenvalues."

Now, the question is a little blurry, and so I've come to an answer of which i'm not sure if is correct...

Expression #1 => $\displaystyle x^{(1)}$ = $\displaystyle Ax^{(0)}$
Expression #2 => $\displaystyle x^{(1)}$ = $\displaystyle \lambda x^{(0)}$

Many thanks
Or should I expand the multiplication of the above?