Tool to compute the transpose of a matrix. The transpose of a matrix M of size mxn is a matrix denoted ^{t}M of size nxm created by swapping lines and columns.

Transpose of a Matrix - dCode

Tag(s) : Matrix

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The **transposition of a matrix** (or **transpose of matrix**) is one of the most basic matrix operations to perform. The **transpose of a matrix** consists of inverting the rows with the columns:

$$ \text{ If } M = \begin{bmatrix} a & c & e \\ b & d & f \end{bmatrix} \text{ Then } M^T = \begin{bmatrix} a & b \\ c & d \\ e & f \end{bmatrix} $$

The lines are read from left to right and are transposed from top to bottom.

__Example:__ $$ M = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} \Rightarrow M^t = \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix} $$

The **transposition of a matrix** $ M $ is noted $ M^t $ or $ ^tM $. The transposition operation is then noted with an exponent `T` or `t` (uppercase or lowercase) prefixed or postfixed.

The transposition is valid on both square matrices and rectangular matrices. A transposed row vector is a column vector and vice versa.

Transposing twice a matrix returns it unchanged.

The double transposition is the name given to a cryptographic cipher.

The transpose of a column matrix is a line matrix of the same size and vice versa.

__Example:__ The transpose from $ \begin{bmatrix} a \\ b \end{bmatrix} $ is $ \begin{bmatrix} a & b \end{bmatrix} $

__Example:__ The transpose from $ \begin{bmatrix} a & b \end{bmatrix} $ is $ \begin{bmatrix} a \\ b \end{bmatrix} $

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