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| ==Etymology== | | ==Etymology== |
− | [http://nordan.daynal.org/wiki/index.php?title=English#ca._1100-1500_.09THE_MIDDLE_ENGLISH_PERIOD Middle English], from Anglo-French parmanant, from [[Latin]] permanent-, permanens, present participle of permanēre to [[endure]], from per- throughout + manēre to remain | + | [https://nordan.daynal.org/wiki/index.php?title=English#ca._1100-1500_.09THE_MIDDLE_ENGLISH_PERIOD Middle English], from Anglo-French parmanant, from [[Latin]] permanent-, permanens, present participle of permanēre to [[endure]], from per- throughout + manēre to remain |
− | *Date: [http://www.wikipedia.org/wiki/15th_Century 15th century] | + | *Date: [https://www.wikipedia.org/wiki/15th_Century 15th century] |
| ==Definition== | | ==Definition== |
| *continuing or [[enduring]] without [[fundamental]] or marked [[change]] : [[stable]] | | *continuing or [[enduring]] without [[fundamental]] or marked [[change]] : [[stable]] |
| ==Description== | | ==Description== |
− | In [http://en.wikipedia.org/wiki/Linear_algebra linear algebra], the '''permanent''' of a [http://en.wikipedia.org/wiki/Square_matrix square matrix] is a [[function]] of the matrix similar to the [http://en.wikipedia.org/wiki/Determinant determinant]. The permanent, as well as the determinant, is a polynomial in the entries of the matrix. Both permanent and determinant are special cases of a more general function of a matrix called the [http://en.wikipedia.org/wiki/Immanant immanant]. | + | In [https://en.wikipedia.org/wiki/Linear_algebra linear algebra], the '''permanent''' of a [https://en.wikipedia.org/wiki/Square_matrix square matrix] is a [[function]] of the matrix similar to the [https://en.wikipedia.org/wiki/Determinant determinant]. The permanent, as well as the determinant, is a polynomial in the entries of the matrix. Both permanent and determinant are special cases of a more general function of a matrix called the [https://en.wikipedia.org/wiki/Immanant immanant]. |
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| The permanent of an n-by-n matrix A = (ai,j) is defined as | | The permanent of an n-by-n matrix A = (ai,j) is defined as |
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| :[[File:Perm_2.jpg]] | | :[[File:Perm_2.jpg]] |
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− | The definition of the permanent of A [[differs]] from that of the determinant of A in that the signatures of the [http://en.wikipedia.org/wiki/Permutations permutations] are not taken into account. If one [[views]] the permanent as a map that takes n [http://en.wikipedia.org/wiki/Euclidean_vector vectors] as [[arguments]], then it is a multilinear map and it is [[symmetric]] ([[meaning]] that any order of the vectors results in the same permanent). A [[formula]] similar to [http://en.wikipedia.org/wiki/Expansion_by_minors Laplace's] for the [[development]] of a determinant along a row or column is also valid for the permanent; all [[signs]] have to be ignored for the permanent. | + | The definition of the permanent of A [[differs]] from that of the determinant of A in that the signatures of the [https://en.wikipedia.org/wiki/Permutations permutations] are not taken into account. If one [[views]] the permanent as a map that takes n [https://en.wikipedia.org/wiki/Euclidean_vector vectors] as [[arguments]], then it is a multilinear map and it is [[symmetric]] ([[meaning]] that any order of the vectors results in the same permanent). A [[formula]] similar to [https://en.wikipedia.org/wiki/Expansion_by_minors Laplace's] for the [[development]] of a determinant along a row or column is also valid for the permanent; all [[signs]] have to be ignored for the permanent. |
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− | The permanent is [[believed]] to be more [[difficult]] to compute than the determinant. While the determinant can be computed in polynomial time by [http://en.wikipedia.org/wiki/Gaussian_elimination Gaussian elimination], Gaussian elimination cannot be used to compute the permanent. Moreover, computing the permanent of a 0-1 [[matrix]] (matrix whose entries are 0 or 1) is #P-complete. Thus, if the permanent can be computed in polynomial time by any [[method]], then FP = #P which is an even stronger [[statement]] than P = NP. When the entries of A are nonnegative, however, the permanent can be computed approximately in [[probabilistic]] polynomial time, up to an error of εM, where M is the [[value]] of the permanent and ε > 0 is [[arbitrary]]. | + | The permanent is [[believed]] to be more [[difficult]] to compute than the determinant. While the determinant can be computed in polynomial time by [https://en.wikipedia.org/wiki/Gaussian_elimination Gaussian elimination], Gaussian elimination cannot be used to compute the permanent. Moreover, computing the permanent of a 0-1 [[matrix]] (matrix whose entries are 0 or 1) is #P-complete. Thus, if the permanent can be computed in polynomial time by any [[method]], then FP = #P which is an even stronger [[statement]] than P = NP. When the entries of A are nonnegative, however, the permanent can be computed approximately in [[probabilistic]] polynomial time, up to an error of εM, where M is the [[value]] of the permanent and ε > 0 is [[arbitrary]]. |
| ==External links== | | ==External links== |
− | * Permanent at [http://planetmath.org/encyclopedia/Permanent.html PlanetMath] | + | * Permanent at [https://planetmath.org/encyclopedia/Permanent.html PlanetMath] |
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| [[Category: General Reference]] | | [[Category: General Reference]] |
| [[Category: Mathematics]] | | [[Category: Mathematics]] |