Question

Change of basis and diagonalization

score 237 · Answer 1 · 2026-04-01 02:00:11

237

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Change of basis and diagonalization

Published on 01 Apr 2026 - 2:00

score 28 · Answer 2 · 2022-06-17 13:20:12

28

Views

Eigenvalues/vectors of a slightly changed matrix

Published on 17 Jun 2022 - 13:20

score 184 · Answer 3 · 2022-06-19 07:15:12

184

Views

If $A^k$ is diagonalizable, prove that $A$ is diagonalizable

Published on 19 Jun 2022 - 7:15

score 86 · Answer 4 · 2022-06-20 11:03:47

86

Views

differentiation of diagonalization of positive definite matrix

Published on 20 Jun 2022 - 11:03

score 116 · Answer 5 · 2022-06-21 08:29:06

116

Views

Which matrix is not diagonalisable?

Published on 21 Jun 2022 - 8:29

score 83 · Answer 6 · 2022-06-22 12:42:33

83

Views

Example for Matrix with $A^3=A$ that is not diagonalizable

Published on 22 Jun 2022 - 12:42

score 133 · Answer 7 · 2026-03-28 10:16:20

133

Views

Is every non-diagonalizable matrix diagonalizable over a larger non-reduced commutative ring?

Published on 28 Mar 2026 - 10:16

score 65 · Answer 8 · 2022-06-29 14:27:28

65

Views

What are some cases in which we can know if a matrix is diagonalizable without solving for the eigenspaces?

Published on 29 Jun 2022 - 14:27

score 69 · Answer 9 · 2022-07-05 09:07:36

69

Views

Find all the real values of $a,b,c,e,d,f$ for which $A$ is diagonalizable

Published on 05 Jul 2022 - 9:07

score 41 · Answer 10 · 2026-04-02 06:05:24

41

Views

Matrix Normalization via SVD decomposition

Published on 02 Apr 2026 - 6:05

score 72 · Answer 11 · 2026-04-02 18:42:35

72

Views

Determinant of an eigenmatrix of a symmetric positive definite matrix

Published on 02 Apr 2026 - 18:42

score 277 · Answer 12 · 2022-07-10 12:46:12

277

Views

Showing if $f_{A}(X)=AX-XA$ is diagonalizable, then $A$ is diagonalizable.

Published on 10 Jul 2022 - 12:46

score 164 · Answer 13 · 2022-07-10 19:08:47

164

Views

Show the Dimension of a Finite Vector Space is Even

Published on 10 Jul 2022 - 19:08

score 63 · Answer 14 · 2022-07-11 08:09:52

63

Views

Define $u=(u_1,u_2,\dots,u_n)^t$, $v=(v_1,v_2,\dots,v_n)^t$ where $u_i,v_j\in$ {$1,-1$}, $\forall i,j$ and $A=[a_{ij}]$, $a_{i,j}=u_iv_j \forall i,j$.

Published on 11 Jul 2022 - 8:09

score 374 · Answer 15 · 2022-07-12 05:58:10

374

Views

What is the difference between using $(\lambda I - A)$ and $(A - \lambda I)$ when finding eigenvalues and eigenvectors?

Published on 12 Jul 2022 - 5:58

List Question

Change of basis and diagonalization

Eigenvalues/vectors of a slightly changed matrix

If $A^k$ is diagonalizable, prove that $A$ is diagonalizable

differentiation of diagonalization of positive definite matrix

Which matrix is not diagonalisable?

Example for Matrix with $A^3=A$ that is not diagonalizable

Is every non-diagonalizable matrix diagonalizable over a larger non-reduced commutative ring?

What are some cases in which we can know if a matrix is diagonalizable without solving for the eigenspaces?

Find all the real values of $a,b,c,e,d,f$ for which $A$ is diagonalizable

Matrix Normalization via SVD decomposition

Determinant of an eigenmatrix of a symmetric positive definite matrix

Showing if $f_{A}(X)=AX-XA$ is diagonalizable, then $A$ is diagonalizable.

Show the Dimension of a Finite Vector Space is Even

Define $u=(u_1,u_2,\dots,u_n)^t$, $v=(v_1,v_2,\dots,v_n)^t$ where $u_i,v_j\in$ {$1,-1$}, $\forall i,j$ and $A=[a_{ij}]$, $a_{i,j}=u_iv_j \forall i,j$.

What is the difference between using $(\lambda I - A)$ and $(A - \lambda I)$ when finding eigenvalues and eigenvectors?

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