-
classmethod galois.FieldArray.Vandermonde(element: ElementLike, rows: int, cols: int, dtype: DTypeLike | None =
None
) Self Creates an \(m \times n\) Vandermonde matrix of \(a \in \mathrm{GF}(q)\).
- Parameters¶
- element: ElementLike¶
An element \(a\) of \(\mathrm{GF}(q)\).
- rows: int¶
The number of rows \(m\) in the Vandermonde matrix.
- cols: int¶
The number of columns \(n\) in the Vandermonde matrix.
- dtype: DTypeLike | None =
None
¶ The
numpy.dtype
of the array elements. The default isNone
which represents the smallest unsigned data type for thisFieldArray
subclass (the first element indtypes
).
- Returns¶
A \(m \times n\) Vandermonde matrix.
Examples¶
In [1]: GF = galois.GF(2**3) In [2]: a = GF.primitive_element; a Out[2]: GF(2, order=2^3) In [3]: V = GF.Vandermonde(a, 7, 7); V Out[3]: GF([[1, 1, 1, 1, 1, 1, 1], [1, 2, 4, 3, 6, 7, 5], [1, 4, 6, 5, 2, 3, 7], [1, 3, 5, 4, 7, 2, 6], [1, 6, 2, 7, 4, 5, 3], [1, 7, 3, 2, 5, 6, 4], [1, 5, 7, 6, 3, 4, 2]], order=2^3)
In [4]: GF = galois.GF(2**3) In [5]: a = GF.primitive_element; a Out[5]: GF(α, order=2^3) In [6]: V = GF.Vandermonde(a, 7, 7); V Out[6]: GF([[ 1, 1, 1, 1, 1, 1, 1], [ 1, α, α^2, α + 1, α^2 + α, α^2 + α + 1, α^2 + 1], [ 1, α^2, α^2 + α, α^2 + 1, α, α + 1, α^2 + α + 1], [ 1, α + 1, α^2 + 1, α^2, α^2 + α + 1, α, α^2 + α], [ 1, α^2 + α, α, α^2 + α + 1, α^2, α^2 + 1, α + 1], [ 1, α^2 + α + 1, α + 1, α, α^2 + 1, α^2 + α, α^2], [ 1, α^2 + 1, α^2 + α + 1, α^2 + α, α + 1, α^2, α]], order=2^3)
In [7]: GF = galois.GF(2**3) In [8]: a = GF.primitive_element; a Out[8]: GF(α, order=2^3) In [9]: V = GF.Vandermonde(a, 7, 7); V Out[9]: GF([[ 1, 1, 1, 1, 1, 1, 1], [ 1, α, α^2, α^3, α^4, α^5, α^6], [ 1, α^2, α^4, α^6, α, α^3, α^5], [ 1, α^3, α^6, α^2, α^5, α, α^4], [ 1, α^4, α, α^5, α^2, α^6, α^3], [ 1, α^5, α^3, α, α^6, α^4, α^2], [ 1, α^6, α^5, α^4, α^3, α^2, α]], order=2^3)