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Determinant - Example |  | Determinant - Example: Encyclopedia II - Determinant - Example |  | | Suppose we want to compute the determinant of
We can go ahead and use the Leibniz formula directly:
Alternatively, we can use Laplace's formula to expand the determinant along a row or column. It is best to choose a row or column with many zeros, so we will expand along the second column:
| 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 - Example
Determinant - Example
Suppose we want to compute the determinant of
We can go ahead and use the Leibniz formula directly:
Alternatively, we can use Laplace's formula to expand the determinant along a row or column. It is best to choose a row or column with many zeros, so we will expand along the second column:
A third way (and the method of choice for larger matrices) would involve the Gauss algorithm. When doing computations by hand, one can often shorten things dramatically by smartly adding multiples of columns or rows to other columns or rows; this doesn't change the value of the determinant, but may create zero entries which simplifies the subsequent calculations. In our example, adding the second column to the first one is especially useful:
and this determinant can be quickly expanded along the first 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 "Example", under the G.N U Free Docmentation License. Please also see http://en.wikipedia.org/wiki |
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