# example of fundamental theorem of demography

Assume a population with a (age, sex, etc.) that is described by a vector $x(t)$, where $x_{1}(t),\ldots,x_{n}(t)$ represents the number of individuals in the population who possess the characteristic at a level $1,\ldots,n$, at time $t$.

For example, consider age-groups, and assume $x_{0}(t)$ is the number of individuals in the population that are aged 0 to 1 year, $x_{1}(t)$ is the number of individuals aged 1 to 2 years, etc.

Suppose that the transition from one class to another is described by a matrix $A(t)$. In the case of age-groups, this matrix will for example describe mortality in a given age-group. This matrix, in the case of non deterministic modelling, will define a Markov chain  .

The fundamental theorem of demography then states that if the matrix $A(t)$ satisfies the required properties, then the distribution  vector $x(t)$ converges to the eigenvector associated to the dominant eigenvalue, regardless of the behavior of the total population $\|x(t)\|$.

Hence, in the case of age-groups, the proportion of individuals aged, say, 1 to 2 years, tends to a fixed value, even if the total population increases.

Title example of fundamental theorem of demography ExampleOfFundamentalTheoremOfDemography 2013-03-22 14:15:59 2013-03-22 14:15:59 mathcam (2727) mathcam (2727) 6 mathcam (2727) Example msc 92D25 msc 37A30