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Hadamard matrix (Definition)

An $ n\times n$ matrix $ H = (h_{ij})$ is a Hadamard matrix of order $ n$ if the entries of $ H$ are either $ +1$ or $ -1$ and such that $ HH^T = nI,$ where $ H^T$ is the transpose of $ H$ and $ I$ is the order $ n$ identity matrix.

In other words, an $ n\times n$ matrix with only $ +1$ and $ -1$ as its elements is Hadamard if the inner product of two distinct rows is 0 and the inner product of a row with itself is $ n$.

A few examples of Hadamard matrices are

$\displaystyle \begin{bmatrix}1 & 1 \\ 1 & -1\end{bmatrix} , \begin{bmatrix}-1 &... ...1 & 1 & 1 \\ 1 & -1 & 1 & -1 \\ 1 & 1 & -1 & -1 \\ 1 & -1 & -1 & 1\end{bmatrix}$
These matrices were first considered as Hadamard determinants, because the determinant of a Hadamard matrix satisfies equality in Hadamard's determinant theorem, which states that if $ X = (x_{ij})$ is a matrix of order $ n$ where $ \vert x_{ij}\vert \leq 1$ for all $ i$ and $ j,$ then
$\displaystyle det(X) \leq n^{n/2}$

Property 1:

The order of a Hadamard matrix is $ 1, 2$ or $ 4n,$ where $ n$ is an integer.

Property 2:

If the rows and columns of a Hadamard matrix are permuted, the matrix remains Hadamard.

Property 3:

If any row or column is multiplied by $ -1,$ the Hadamard property is retained.

Hence it is always possible to arrange to have the first row and first column of a Hadamard matrix contain only $ +1$ entries. A Hadamard matrix in this form is said to be normalized.

Hadamard matrices are common in signal processing and coding applications.



"Hadamard matrix" is owned by Koro. [ full author list (2) | owner history (1) ]
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See Also: Hadamard conjecture

Other names:  Hadamard

Attachments:
proof that Hadamard matrix has order 1 or 2 or 4n (Proof) by Mathprof
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Cross-references: equality, determinants, inner product, identity matrix, transpose, matrix
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This is version 10 of Hadamard matrix, born on 2002-11-18, modified 2007-03-17.
Object id is 3605, canonical name is HadamardMatrix.
Accessed 13020 times total.

Classification:
AMS MSC15-00 (Linear and multilinear algebra; matrix theory :: General reference works )
 05B20 (Combinatorics :: Designs and configurations :: Matrices )

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