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PROPERTIES OF A TRIANGULAR MATRIX Introduction A Square Matrix is Upper Triangular (otherwise just known as Triangular) if all entries below the diagonal of a ij have the value of Zero. This is more formally written as: Calculating with Triangular Matrices Given two n by n Triangular Matrices of A = [a ij ] and B = [b ij ], then: A + B = ((a 11 + b 11 ), …, (a nn + b nn )) AB = ((a 11 b 11 ), …, (a nn b nn )) kA = (k(a 11 ), …, k(a nn )), where k is a constant. Functions with Triangular Matrices Given a Triangular Matrix of A = [a ij ] and any polynomial function of f(x), the result of f(A) is Triangular with the following properties: If i < j: a ij remains the same If i = j: a ij becomes f(a ij ) Inverting a Triangular Matrix An n by n Triangular Matrix is only Invertible if: For all i = j: a ij 0 It can be asserted that, given the inverse is present, the inverse must, also, be a Triangular Matrix. a ij = 0 if i > j

Properties of a Triangular Matrix

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PROPERTIES OF A TRIANGULAR MATRIX

Introduction A Square Matrix is Upper Triangular (otherwise just known as Triangular) if all entries below the diagonal of aij have the value of Zero.

This is more formally written as:

Calculating with Triangular Matrices Given two n by n Triangular Matrices of A = [aij] and B = [bij], then:

A + B = ((a11 + b11), …, (ann + bnn))

AB = ((a11b11), …, (annbnn))

kA = (k(a11), …, k(ann)), where k is a constant.

Functions with Triangular Matrices Given a Triangular Matrix of A = [aij] and any polynomial function

of f(x), the result of f(A) is Triangular with the following

properties:

If i < j: aij remains the same

If i = j: aij becomes f(aij)

Inverting a Triangular Matrix An n by n Triangular Matrix is only Invertible if:

For all i = j: aij ≠ 0

It can be asserted that, given the inverse is present, the inverse must, also, be a Triangular Matrix.

aij = 0 if i > j