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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 archives

16th 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

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