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Krawtchouk matrices

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In mathematics, Krawtchouk matrices are matrices whose entries are values of Krawtchouk polynomials at nonnegative integer points. The Krawtchouk matrix K is an (N + 1) × (N + 1) matrix. The first few Krawtchouk matrices are:

K ( 0 ) = [ 1 ] , K ( 1 ) = [ 1 1 1 1 ] , K ( 2 ) = [ 1 1 1 2 0 2 1 1 1 ] , K ( 3 ) = [ 1 1 1 1 3 1 1 3 3 1 1 3 1 1 1 1 ] , {\displaystyle K^{(0)}={\begin{bmatrix}1\end{bmatrix}},\qquad K^{(1)}=\left,\qquad K^{(2)}=\left,\qquad K^{(3)}=\left,}
K ( 4 ) = [ 1 1 1 1 1 4 2 0 2 4 6 0 2 0 6 4 2 0 2 4 1 1 1 1 1 ] , K ( 5 ) = [ 1 1 1 1 1 1 5 3 1 1 3 5 10 2 2 2 2 10 10 2 2 2 2 10 5 3 1 1 3 5 1 1 1 1 1 1 ] . {\displaystyle K^{(4)}=\left,\qquad K^{(5)}=\left.}

Definition

In general, for positive integer N {\displaystyle N} , the entries K i j ( N ) {\displaystyle K_{ij}^{(N)}} are given by the generating function:

( 1 + v ) N j ( 1 v ) j = i v i K i j ( N ) , {\displaystyle (1+v)^{N-j}\,(1-v)^{j}=\sum _{i}v^{i}K_{ij}^{(N)},}

where the row and column indices i {\displaystyle i} and j {\displaystyle j} run from 0 {\displaystyle 0} to N {\displaystyle N} . Explicitly:

K i j ( N ) = k ( 1 ) k ( j k ) ( N j i k ) , {\displaystyle K_{ij}^{(N)}=\sum _{k}(-1)^{k}{\binom {j}{k}}{\binom {N-j}{i-k}},}

or in terms of the Krawtchouk polynomials:

K i j ( N ) = κ i ( j , N ) . {\displaystyle K_{ij}^{(N)}=\kappa _{i}(j,N).}

The values of a Krawchouk matrix can also be calculated using a recurrence relation. Filling the top row with ones and the rightmost column with alternating binomial coefficients, the other entries are each given by the sum of the neighbouring entries to the top, topright and right.

Properties

The Krawtchouk polynomials are orthogonal with respect to symmetric binomial distributions, p = 1 / 2 {\displaystyle p=1/2} .

As a transformation, a Krawtchouk matrix is an involution up to scaling:

( K i j ( N ) ) 2 = 2 N I . {\displaystyle (K_{ij}^{(N)})^{2}=2^{N}I.}

Krawchouk matrices have an LDU decomposition involving triangular Pascal matrices and a diagonal matrix of the powers of 2.

The eigenvalues are ± 2 n {\displaystyle \pm {\sqrt {2^{n}}}} , and the determinant is ( 2 ) n ( n + 1 ) / 2 {\displaystyle (-2)^{n(n+1)/2}} .

See also

References

  1. Bose, N. (1985). Digital Filters: Theory and Applications. New York: North-Holland Elsevier. ISBN 0-444-00980-9.
  2. Feinsilver, P.; Kocik, J. (2004). Krawtchouk polynomials and Krawtchouk matrices. Recent Advances in Applied Probability. Springer-Verlag. arXiv:quant-ph/0702073. Bibcode:2007quant.ph..2073F.
  3. Feinsilver, P.; Kocik, J. (2007). "Krawtchouk matrices from classical and quantum random walks". arXiv:quant-ph/0702173.
  4. "Hahn Class: Definitions". Digital Library of Mathematical Functions.
  5. ^ Boyd, Geoff; Micchelli, Charles A.; Strang, Gilbert; Zhou, Ding-Xuan (2001). "Binomial Matrices". Advances in Computational Mathematics. 14 (4): 379–391. doi:10.1023/A:1012207124894. ISSN 1572-9044. S2CID 36314402.

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