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Formula
How it works: Rows become columns and columns become rows.
Worked Example
What Matrix Transpose Does
The transpose of a matrix flips it across its main diagonal. Row 1 becomes column 1, row 2 becomes column 2, and so on. Entry (i,j) in the original becomes entry (j,i) in the transpose.
- Transposing twice returns the original matrix: (A^T)^T = A
- The determinant is preserved: det(A^T) = det(A)
- A matrix that equals its own transpose is called symmetric (A = A^T)
- Transpose is used in the adjoint formula: adj(A) = cofactor(A) transposed
Transpose is one of the most common matrix operations, appearing in dot products, least squares regression, orthogonal transformations, and many other areas of mathematics.
You can also calculate changes using our Matrix Determinant Calculator, Adjoint Matrix Calculator, Cofactor Matrix Calculator or Matrix Rank Calculator.
Frequently Asked Questions
Does transpose preserve the determinant?
Yes. The determinant of the transpose always equals the determinant of the original matrix: det(A^T) = det(A).
What happens if I transpose twice?
You get the original matrix back. Transpose is its own inverse operation: (A^T)^T = A.
What is a symmetric matrix?
A symmetric matrix is one where A = A^T. The entries are mirrored across the main diagonal. Symmetric matrices have real eigenvalues and appear frequently in physics and statistics.
How is transpose related to the adjoint?
The adjoint (adjugate) of a matrix is the transpose of its cofactor matrix. So computing the adjoint requires a transpose step: adj(A) = C^T where C is the cofactor matrix.
Can I embed this Matrix Transpose Calculator on my website?
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