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Let ๐ดย ๐‘๐‘’ย ๐‘Ž๐‘›ย ๐‘›ย ร—ย ๐‘› matrix. The characteristic polynomial of A is a polynomial of degree

Question

Let ๐ดย ๐‘๐‘’ย ๐‘Ž๐‘›ย ๐‘›ย ร—ย ๐‘› matrix. The characteristic polynomial of A is a polynomial of degree

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Solution

The characteristic polynomial of an n ร— n matrix A is a polynomial of degree n.

Similar Questions

Let ๐œ†ย is an Eigen value of a ๐‘›ย ร—ย ๐‘›ย ๐‘š๐‘Ž๐‘ก๐‘Ÿ๐‘–๐‘ฅย ๐ด.

The characteristic polynomial of a 3ร—33ร—3 matrix can be factorised as (2โˆ’ฮป)2(5โˆ’ฮป)(2โˆ’๐œ†)2(5โˆ’๐œ†). Which of the following statements are true? Select all that apply.The geometric multiplicity of the eigenvalue ฮป=๐œ†= 55 could be 22The number of linearly independent eigenvectors for the eigenvalue ฮป=๐œ†= 55 must be 11The geometric multiplicity of the matrix cannot be greater than 22The geometric multiplicity of the eigenvalue ฮป=๐œ†= 22 could be 22The algebraic multiplicity of the matrix is 22The algebraic multiplicity of the eigenvalue ฮป=๐œ†= 22 cannot be determined from the information we are givenThe eigenvalue ฮป=๐œ†= 22 could have infinitely many eigenvector directionsThe algebraic multiplicity of the eigenvalue ฮป=๐œ†= 22 is 2

) If A is nilpotent (Am = 0 for some m โ‰ฅ 1)then all eigenvalues of A are 0

The determinant rank of an ๐‘šร—๐‘› matrix A is equal to the ___ of A

If 0 is an Eigen value of a matrix A, then the set of columns of A is

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