Special square matrices — A/L Combined Mathematics
NIE competency: Explains special cases of square matrices
Aligned with the NIE syllabus
What must I remember about Special square matrices?
- Square Matrix: A matrix with equal numbers of rows and columns (m = n, order n × n).
- Main (Principal) Diagonal: The diagonal entries a11, a22, ..., ann of a square matrix from top-left to bottom-right.
- Diagonal Matrix: A square matrix where all non-diagonal entries are zero (aij = 0 for all i ≠ j).
- Scalar Matrix: A diagonal matrix whose main diagonal entries are all equal (aii = k for all i).
- Identity (Unit) Matrix I: A scalar matrix whose main diagonal entries are all 1: A * I = I * A = A.
Test yourself (1 minute)
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Trace of a matrix
Sum of main diagonal elements: Tr(A) = a11 + a22 + ... + ann; Tr(AB) = Tr(BA).
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Triangular matrices
Upper Triangular matrix has all entries below main diagonal equal to zero (aij = 0 for i > j); Lower Triangular matrix has all entries above main diagonal zero.
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Symmetric and Skew-Symmetric definitions
A is Symmetric if AT = A (aij = aji); A is Skew-Symmetric if AT = -A (aij = -aji, implying all diagonal elements aii = 0).
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Source: NIE G.C.E. (A/L) Combined Mathematics Resource Book - Pure Mathematics, Unit 24
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Where does Special square matrices fit in the syllabus?
Year 2 · Term 1
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