 |
|
| |
|
 |
 |
at Global Oneness Community.
Share your dreams and let others help you with the interpretation!
Dream Sharing Forum
|
 |
Determinant - General definition and computation |  | Determinant - General definition and computation: Encyclopedia II - Determinant - General definition and computation |  | Suppose is a square matrix.
If A is a 1-by-1 matrix, then
If A is a 2-by-2 matrix, then
For a 3-by-3 matrix A, the formula is more complicated:
For a general n-by-n matrix, the determinant was defined by Gottfried Leibniz with wha ...
See also:Determinant, Determinant - Determinants of 2-by-2 matrices, Determinant - Applications, Determinant - General definition and computation, Determinant - Example, Determinant - Properties, Determinant - Derivative, Determinant - Generalizations and related functions, Determinant - Algorithmic implementation, Determinant - History |  | | Determinant, Determinant - Algorithmic implementation, Determinant - Applications, Determinant - Derivative, Determinant - Determinants of 2-by-2 matrices, Determinant - Example, Determinant - General definition and computation, Determinant - Generalizations and related functions, Determinant - History, Determinant - Properties |  | |
|  |  | Determinant: Encyclopedia II - Determinant - General definition and computation
Determinant - General definition and computation
Suppose is a square matrix.
If A is a 1-by-1 matrix, then
If A is a 2-by-2 matrix, then
For a 3-by-3 matrix A, the formula is more complicated:
For a general n-by-n matrix, the determinant was defined by Gottfried Leibniz with what is now known as the Leibniz formula:
The sum is computed over all permutations σ of the numbers {1,2,...,n} and sgn(σ) denotes the signature of the permutation σ: +1 if σ is an even permutation and −1 if it is odd (see even and odd permutations).
This formula contains n! (factorial) summands and is therefore impractical to use it to calculate determinants for large n.
In general, determinants can be computed with the Gauss algorithm using the following rules:
- If A is a triangular matrix, i.e. whenever i > j, then
- If B results from A by exchanging two rows or columns, then
- If B results from A by multiplying one row or column with the number c, then
- If B results from A by adding a multiple of one row to another row, or a multiple of one column to another column, then
Explicitly, starting out with some matrix, use the last three rules to convert it into a triangular matrix, then use the first rule to compute its determinant.
It is also possible to expand a determinant along a row or column using Laplace's formula, which is efficient for relatively small matrices. To do this along row i, say, we write
where the Ci,j represent the matrix cofactors, i.e. Ci,j is ( − 1)i + j times the minor Mi,j, which is the determinant of the matrix that results from A by removing the i-th row and the j-th column.
Other related archives16th century, Bezout, Binet, Cardano, Catalan, Cauchy, Cauchy-Binet formula, Cayley, Cholesky decomposition, Christoffel, Cramer, Cramer's rule, Crelle, Euclidean spaces, Frobenius, Gauss, Gauss algorithm, Glaisher, Gottfried Leibniz, Hankel, Hesse, Hessians, Jacobi, Jacobi's formula, Jacobian, Jordan normal form, LU decomposition, Lagrange, Laplace, Laplace's formula, Lebesgue, Leibniz, Muir, Pfaffian, Pfaffians, Scott, Sylvester, Vandermonde, Wronskians, absolute value, adjugate, area, basis, calculus, characteristic polynomial, circulants, cofactors, commutative ring, complex, complex numbers, conjugate, coordinate system, differentiable, dimensional, discriminant, eigenvalues, elimination theory, even and odd permutations, exponential function, factorial, field, free R-module, function, functional determinants, graph, identity matrix, invertible matrices, linear algebra, linear equations, linear map, linear transformation, matrix multiplication, matrix norms, measurable, minor, minors, multilinear algebra, multilinear map, of order, orientation, orthogonal transformation, parallelepiped, parallelogram, permutations, polynomial function, positive, quantic, real, ring, scalar, scalars, scale factor, sequence, signature, similar, skew lines, square matrix, square root, subset, substitution rule, system of linear equations, tetrahedron, trace function, trace of a matrix, transformation matrix, transpose, triangular matrix, unit, unit square, vector calculus, vector space, volume, volumes
 Adapted from the Wikipedia article "General definition and computation", under the G.N U Free Docmentation License. Please also see http://en.wikipedia.org/wiki |
|
|
More material related to Determinant can be found here:
|
|
« Back
|
Search the Global Oneness web site |
|
|
|
|
 |
Sneak-Peek of Global Oneness Community
Hi friend! The Global Oneness Community, the place for information and sharing about Oneness is not really launched yet (you will see there is still some clean up to do) ...but it is now open for a sneak-peek! And if you wish - please register and become one of the very first members to do so! Jonas
Forum Home,
Articles,
Photo Gallery,
Videos,
News,
Sitemap
...and much more!
|