Difference between revisions of "Manuals/calci/HESSENBERG"

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<div style="font-size:30px">'''HESSENBERG'''</div><br/>
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<div style="font-size:30px">'''MATRIX("HESSENBERG",order)'''</div><br/>
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*<math>order</math> is the order of the  Hessenberg matrix.
 +
 
 +
==Description==
 +
*This function gives the matrix with the property of Hessenberg matrix.
 +
*A Hessenberg matrix is a special kind of square matrix, one that is "almost" triangular.
 +
*To be exact, an upper Hessenberg matrix has zero entries below the first subdiagonal, and a lower Hessenberg matrix has zero entries above the first superdiagonal.
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*Here MATRIX("hessenberg") displays the hessenberg matrix of order 3.
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*An nxn matrix with <math>a_{i,j}=0</math> for <math>i> j+1</math> is called a Hessenberg matrix.
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*So the form of a Hessenberg matrix is: \begin{bmatrix}
 +
a_{11} & a_{12} & a_{13} \cdots & a_{1(n-1)}& a_{1n}    \\
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a_{21} & a_{22} & a_{23} \cdots& a_{2(n-1)}& a_{2n}    \\
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0 & a_{32} & a_{33} \cdots& a_{3(n-1)}& a_{3n} \\
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0 & 0 & a_{43} \cdots& a_{4(n-1)}& a_{4n} \\
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0 & 0 & 0 \cdots& a_{5(n-1)}& a_{5n} \\
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\vdots & \ddots & \vdots \\
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0      & 0 & 0  & a_{(n-1)(n-2)} & a_{(n-1)(n-1)} & a_{(n-1)n}\\
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0      & 0 & 0  & 0 & a_{n(n-1)} & a_{nn}\\
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\end{bmatrix} 
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*So the matrix is zero below the first subdiagonal.
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*If the matrix is symmetric or Hermitian, the form is tridiagonal.
 +
 
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==Examples==
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*1.MATRIX("hessenberg") =53
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*2.MATRIX("hessenberg",3)
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{| class="wikitable"
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|-
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| -10 || -50 || -92
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|-
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| -32 || 62 || 33
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|-
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| 0 || -99 || -81
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|}
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*3.MATRIX("hessenberg",6)
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{| class="wikitable"
 +
|-
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| 99 || 88 || -73 ||20 || -17 || -10
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|-
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| -28 || 40 || -2 || 15 || -48 || 55
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|-
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| 0 || -46 || 56 || -76 || -85 || -70
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|-
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| 0 || 0 || 12 || -72 || 72 || -17
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|-
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| 0 || 0 || 0 || -67 || -26 || -6
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|-
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| 0 || 0 || 0 || 0 || -13 || 50
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|}
 +
 
 +
==Related Videos==
 +
 
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{{#ev:youtube|By-28br11wg|280|center|Hessenberg Matrix}}
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 +
==See Also==
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*[[Manuals/calci/HADAMARD| HADAMARD]]
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*[[Manuals/calci/CONFERENCE| CONFERENCE]]
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*[[Manuals/calci/CIRCULANT| CIRCULANT]]
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*[[Manuals/calci/HANKEL| HANKEL]]
 +
 
 +
==References==
 +
*[http://en.wikipedia.org/wiki/Hessenberg_matrix Hessenberg matrix]

Latest revision as of 02:11, 26 October 2015

MATRIX("HESSENBERG",order)


  • is the order of the Hessenberg matrix.

Description

  • This function gives the matrix with the property of Hessenberg matrix.
  • A Hessenberg matrix is a special kind of square matrix, one that is "almost" triangular.
  • To be exact, an upper Hessenberg matrix has zero entries below the first subdiagonal, and a lower Hessenberg matrix has zero entries above the first superdiagonal.
  • Here MATRIX("hessenberg") displays the hessenberg matrix of order 3.
  • An nxn matrix with for is called a Hessenberg matrix.
  • So the form of a Hessenberg matrix is: \begin{bmatrix}

a_{11} & a_{12} & a_{13} \cdots & a_{1(n-1)}& a_{1n} \\ a_{21} & a_{22} & a_{23} \cdots& a_{2(n-1)}& a_{2n} \\ 0 & a_{32} & a_{33} \cdots& a_{3(n-1)}& a_{3n} \\ 0 & 0 & a_{43} \cdots& a_{4(n-1)}& a_{4n} \\ 0 & 0 & 0 \cdots& a_{5(n-1)}& a_{5n} \\ \vdots & \ddots & \vdots \\ 0 & 0 & 0 & a_{(n-1)(n-2)} & a_{(n-1)(n-1)} & a_{(n-1)n}\\ 0 & 0 & 0 & 0 & a_{n(n-1)} & a_{nn}\\ \end{bmatrix}

  • So the matrix is zero below the first subdiagonal.
  • If the matrix is symmetric or Hermitian, the form is tridiagonal.

Examples

  • 1.MATRIX("hessenberg") =53
  • 2.MATRIX("hessenberg",3)
-10 -50 -92
-32 62 33
0 -99 -81
  • 3.MATRIX("hessenberg",6)
99 88 -73 20 -17 -10
-28 40 -2 15 -48 55
0 -46 56 -76 -85 -70
0 0 12 -72 72 -17
0 0 0 -67 -26 -6
0 0 0 0 -13 50

Related Videos

Hessenberg Matrix

See Also

References