Exercise 7.2 · Q3
Q.Prove that
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Concept understanding — Properties of Determinants
These properties let a determinant be simplified — often to — without full expansion.
- Transpose invariance: (row-wise and column-wise expansion agree).
- Row/column swap: interchanging any two rows (or columns) changes the sign of the determinant, leaving its absolute value unchanged. More generally, interchanges multiply the determinant by .
- Identical rows/columns: if two rows (or columns) are identical, . (Proof idea: swapping the identical rows leaves the matrix unchanged but must flip the sign by Property 2, forcing , so .)
- Proportional rows/columns: if one row (or column) is a scalar multiple of another, ; in particular, an all-zero row/column forces .
- Scalar factor: multiplying every entry of one row (or column) by a scalar multiplies the whole determinant by . Consequently for an matrix (every one of the rows is scaled by ).
- Sum splitting: if every entry of one row (or column) is a sum of two terms, the determinant splits as the sum of two determinants (one with each term in that row/column, all other rows/columns unchanged).
- Row/column operations: adding to any row (column) a scalar multiple of another row (column) — e.g. — leaves the determinant unchanged. This is the workhorse trick used to create zeros before expanding.
- Product rule: for square matrices of the same order; consequently if then or , and .
- Cofactor cross terms: the sum of the products of the entries of one row (column) with the cofactors of a different row (column) is always — e.g. .
Tip
A determinant can also be evaluated as a product of determinants — row-by-column, row-by-row, column-by-column, or column-by-row multiplication of two determinants of the same order all give a valid product, since transposing (Property 1) shows rows and columns are interchangeable for this purpose.
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