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TransposeSee also Transposition for meanings of this term in telecommunication and music.In mathematics, and in particular linear algebra, the transpose of a matrix is another matrix, produced by turning rows into columns and vice versa. Informally, the transpose of a square matrix is obtained by reflecting at the main diagonal (that runs from the top left to bottom right of the matrix). The transpose of the matrix A is written as Atr, tA, or AT, the latter notation being preferred in Wikipedia. Formally, the transpose of the m-by-n matrix A is the n-by-m matrix AT defined by AT[i, j] = A[j, i] for 1 ≤ i ≤ n and 1 ≤ j ≤ m. For example,
\begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix}\quad\quad \mbox{and}\quad\quad \begin{bmatrix} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{bmatrix}^T\begin{bmatrix} 1 & 3 & 5\\ 2 & 4 & 6 \end{bmatrix} </math>
PropertiesFor any two m-by-n matrices A and B and every scalar c, we have (A + B)T = AT + BT and (cA)T = c(AT). This shows that the transpose is a linear map from the space of all m-by-n matrices to the space of all n-by-m matrices.The transpose operation is self-inverse, i.e taking the transpose of the transpose amounts to doing nothing: (AT)T = A. If A is an m-by-n and B an n-by-k matrix, then we have (AB)T = (BT)(AT). Note that the order of the factors switches. From this one can deduce that a square matrix A is invertible if and only if AT is invertible, and in this case we have (A-1)T = (AT)-1. The dot product of two vectors expressed as columns of their coordinates can be computed as
If A is an arbitrary m-by-n matrix with real entries, then ATA is a positive semidefinite matrix.
Further nomenclatureA square matrix whose transpose is equal to itself is called a symmetric matrix, i.e. A is symmetric iff
A square matrix whose transpose is also its inverse is called an orthogonal matrix, i.e. G is orthogonal iff:
A square matrix whose transpose is equal to its negative is called skew-symmetric, i.e. A is skew-symmetric iff
The conjugate transpose of the complex matrix A, written as A*, is obtained by taking the transpose of A and then taking the complex conjugate of each entry.
Transpose of linear mapsIf f: V -> W is a linear map between vector spaces V and W with dual spaces W* and V*, we define the transpose of f to be the linear map tf : W* -> V* with
If the matrix A describes a linear map with respect to two bases, then the matrix AT describes the transpose of that linear map with respect to the dual bases. See dual space for more details on this.
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plants from the same parents as in the last case, but growing much
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self-fertilised plants, spontaneously self-fertilised under a net, in
number of capsules produced, and the average number of seeds per
self-fertilised plants, left uncovered in the hothouse, and
to those on self-fertilised plants, spontaneously self-fertilised under
self-fertilised plants of the 8th generation.html">generation.html">generation.html">generation.html">generation crossed by a fresh stock.html">stock,
been left uncovered and spontaneously fertilised, contained seeds, by
number of capsules produced, and the average weight of seeds per
the crossed and self-fertilised plants, in number: 106.
Salvia coccinea--crossed plants, compared with self-fertilised plants,
plants of the 3rd generation, compared with self-fertilised plants of
with self-fertilised plants of the 3rd generation, yielded seeds, by
produced capsules, in number: 99.
Eschscholtzia californica--Brazilian stock; plants left uncovered and
generation, compared with capsules on self-fertilised plants of 2nd
by the number of capsules produced, and the average number of seeds per
bees; capsules on plants derived from intercrossed plants of the 2nd
with capsules on self-fertilised plants of 2nd generation, contained
by the number of capsules produced, and the average number of seeds per
cross-fertilised by bees; produced capsules in number (about): 100.
Viola tricolor--crossed and self-fertilised plants, left uncovered and
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