- Shift matrix
In
mathematics , a shift matrix is abinary matrix with ones only on thesuperdiagonal orsubdiagonal , and zeroes elsewhere. A shift matrix "U" with ones on the superdiagonal is an upper shift matrix.The alternative subdiagonal matrix "L" is unsurprisingly known as a lower shift matrix. The "(i,j)":th component of "U" and "L" are:where is theKronecker delta symbol.For example, the "5×5" shift matrices are::
Clearly, the transpose of a lower shift matrix is an upper shift matrix and vice versa.
Premultiplying a matrix "A" by a lower shift matrix results in the elements of "A" being shifted downward by one position, with zeroes appearing in the top row. Postmultiplication by a lower shift matrix results in a shift left.Similar operations involving an upper shift matrix result in the opposite shift.
Clearly all shift matrices are
nilpotent ; an "n" by "n" shift matrix "S" becomes thenull matrix when raised to the power of its dimension "n".Properties
Let "L" and "U" be the "n" by "n" lower and upper shift matrices, respectively. The following properties hold for both "U" and "L".Let us therefore only list the properties for "U":
* det("U") = 0
* trace("U") = 0
* rank("U") = "n"−1
* Thecharacteristic polynomial s of "U" is:
* "U""n" = 0. This follows from the previous property by theCayley–Hamilton theorem .* The
permanent of "U" is "0".The following properties show how "U" and "L" are related:
* "L"T = "U"; "U"T = L*The
null space s of "U" and "L" are::
* The spectrum of "U" and "L" is . Thealgebraic multiplicity of "0" is "n", and itsgeometric multiplicity is "1". From the expressions for the null spaces, it follows that (up to a scaling) the only eigenvector for "U" is , and the only eigenvector for "L" is .* For "LU" and "UL" we have:::These matrices are both idempotent, symmetric, and have the same rank as "U" and "L"
* "L""n-a""U""n-a" + "L""a""U""a" = "U""n-a""L""n-a" + "U""a""L""a" = "I" (the
identity matrix ), for any integer "a" between 0 and "n" inclusive.Examples
::
Then
Clearly there are many possible permutations. For example, is equal to the matrix "A" shifted up and left along the main diagonal.
:::::
ee also
*
Nilpotent matrix References
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