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2.1 Simple Matrix Recurrence Relations

The Simple Matrix Recurrence Relation Formula

  • The simplest type of matrix recurrence relation formula we will analyse in Further Maths models a system where the next “state”; S_{n+1}, can be reached by multiplying the current state; S_{n}, by a transition matrix; T, in the form:

S_{n+1}=T S_{n}

  • The state matrices; S_{n} (where n is a positive whole number representing the state of the system), are column matrix listing the value of each of the system’s variables in the corresponding state.
  • The transition matrix; T, is a square matrix.
  • As with a linear recurrence relation, it is important to state the initial state of a system; S_{0}.
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1.1 Matrices: Definition and Unique Cases

Matrices

  • Matrices provide an alternative to ordinary linear algebra which allows us to deal with multi-dimensional data in a more concise way.
  • They are similar in form to a table, with a number of entries arranged into rows and columns.
  • The size of a matrix is expressed in the form rows x columns (i.e. the number of rows followed by the number of columns, with a cross separating them).
  • We can refer to a specific element in a matrix using the name of the matrix, with a subscript listing the row and column corresponding to the element in question e.g. for a matrix; A, the element in the 2nd row and 1st column is denoted by A_{2,1}
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