Manuals/calci/EIGENVALUES

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EIGENVALUES (Matrix)


  • is the array of numeric elements.

Description

  • This function shows the Eigen value of the given matrix.
  • In , is any matrix values.
  • In linear algebra,an eigen vector or characteristic vector of a linear transformation is a non-zero vector whose direction does not change when that linear transformation is applied to it.
  • Let A be a linear transformation represented by a matrix A.
  • Let A is an nxn matrix,v is a non zero nx1 vector and is a scalar which may be either real or complex.
  • Any value of for which this equation has a solution is known as an eigenvalue of the matrix A.
  • It is sometimes also called the characteristic value.
  • The vector, v, which corresponds to this value is called an eigenvector.
  • The eigenvalue problem can be rewritten as .
  • If v is non-zero, this equation will only have a solution if .
  • This equation is called the characteristic equation of A, and is an nth order polynomial in with n roots.
  • These roots are called the eigenvalues of A.

Examples

1. EIGENVALUES([[3,7,5],[10,12,8],[6,8,14]])

Result
-2.018987498930866 25.303239119591886 5.715748379338994
-0.8195524172935329 0.3557792393359474 0.2128903683040517 0.5726193656991498 0.663334322125492 0.6212592923173481 0.02099755544415341 0.6583378387635402 -0.7541316747045657