Mathematics · Ch 3 — Matrices
Properties of Transpose of the Matrices
Properties of Transpose of the Matrices
Concept of Transpose
The transpose of a matrix is a fundamental operation that swaps its rows and columns. If a matrix has entry in the -th row and -th column, then its transpose, denoted (or ), has the entry in the -th row and -th column. This operation has several predictable and useful properties, stated below, which can be verified by taking suitable examples of matrices of appropriate orders.
Properties of Transpose
The following four properties hold for any matrices and of suitable orders (so that addition and multiplication are defined), and for any constant .
The four core properties of transpose are:
Property (I): Double Transpose
Statement: The transpose of the transpose of a matrix is the original matrix itself.
Explanation: If , then . Taking the transpose of swaps the rows and columns again, returning the entry to its original position . Thus the original matrix is recovered.
Property (II): Transpose of a Scalar Multiple
Statement: For any matrix and constant , the transpose of equals times the transpose of .
Explanation: Multiplying by scales every entry by ; transposing then swaps rows and columns, with each entry still multiplied by . Taking the transpose first and multiplying by afterwards gives the same result, because scalar multiplication commutes with transposition.
Property (III): Transpose of a Sum
Statement: For any two matrices and of the same order, the transpose of their sum equals the sum of their transposes.
Explanation: Matrix addition is entry-wise: adding and forms each entry , which the transpose places at position . On the other hand, and have entries and , whose sum sits at the same position. The two results are identical.
Property (IV): Transpose of a Product
Statement: For any two matrices and such that is defined, the transpose of the product equals the product of their transposes in reverse order.
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