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yeland404
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Homework Statement
a square matrix A with ker(A^2)= ker (A^3), is ker(A^3)= ker (A^4),verify...
micromass said:What did you try already??
yeland404 said:it means that A^2*vector x= 0 and A*x=0 has same result,then I really confused how to do the next step
micromass said:No, it means that
[tex]A^2x=0~\Leftrightarrow~A^3x=0[/tex]
You need to prove that
[tex]A^3x=0~\Leftrightarrow~A^4x=0[/tex]
yeland404 said:emm..., to the difinition it says that ker(A) is T(x)=A(x)=0
micromass said:Yes, but you're not working with ker(A) here, but with ker(A2).
yeland404 said:should define a matrix A and write A^2 as dot product of A & A,and also to A^3...it seems to be so complex, or use the block to divide the matrix into some small matrix?
micromass said:Do you understand my Post 4??
yeland404 said:so times A on both side of the equation?
A square matrix is a type of matrix where the number of rows is equal to the number of columns. For example, a matrix with 3 rows and 3 columns is a square matrix.
The kernel of a matrix, also known as the null space, is the set of all vectors that when multiplied by the matrix result in a zero vector.
If A is a square matrix, then the kernel of A^2 is a subset of the kernel of A^3. In other words, every vector in the kernel of A^2 is also in the kernel of A^3.
When ker(A^2) is equal to ker(A^3), it means that there are no additional vectors in the kernel of A^3 that are not already in the kernel of A^2.
This means that the matrix A has a repeated kernel, meaning that the same vectors are being mapped to the zero vector multiple times. It also indicates that the matrix A is not invertible, as the null space is not just the zero vector.