Question

Dependent and independent Vectors

score 78 · Answer 1 · 2026-04-13 11:19:23

78

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Dependent and independent Vectors

Published on 13 Apr 2026 - 11:19

score 135 · Answer 2 · 2026-04-12 07:36:31

135

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How to decide the Jordan normal form of a matrix?

Published on 12 Apr 2026 - 7:36

score 1.9k · Answer 3 · 2026-04-15 06:45:17

1.9k

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Given matrix $A$, find a matrix $S$ such that result of $S^{-1} \circ A \circ S$ is a diagonal matrix

Published on 15 Apr 2026 - 6:45

score 3.4k · Answer 4 · 2026-04-11 17:51:59

3.4k

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Is there a way to measure the "magnitude" of a matrix?

Published on 11 Apr 2026 - 17:51

score 449 · Answer 5 · 2026-04-12 10:37:48

449

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Proving cofactor of product of matrices is equal to product of cofactor of matrices from a given representation of cofactor

Published on 12 Apr 2026 - 10:37

score 126 · Answer 6 · 2026-04-14 07:23:48

126

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Showing that a matrix of exponential form has determinant 1

Published on 14 Apr 2026 - 7:23

score 298 · Answer 7 · 2026-04-17 12:30:53

298

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Finding the Jordan canonical form of A and Choose the correct option

Published on 17 Apr 2026 - 12:30

score 386 · Answer 8 · 2026-04-14 17:45:36

386

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Does this matrix have one eigenvalue or two?

Published on 14 Apr 2026 - 17:45

score 2k · Answer 9 · 2026-04-14 14:00:53

2k

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Linear combination of vectors vs Dot product in Matrix vector multiplication

Published on 14 Apr 2026 - 14:00

score 1.5k · Answer 10 · 2026-04-13 15:26:08

1.5k

Views

Maximum and minimum value of Determinant of $3 \times 3$ Matrix with entries $\pm 1$

Published on 13 Apr 2026 - 15:26

score 2.2k · Answer 11 · 2026-04-14 06:35:39

2.2k

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Prove that every square matrix $A^2 = I$ has at least one of the eigenvalues $\pm 1$ and no other eigen values

Published on 14 Apr 2026 - 6:35

score 53 · Answer 12 · 2026-04-15 09:04:24

53

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second derivative of a matrix with respect to a vector

Published on 15 Apr 2026 - 9:04

score 383 · Answer 13 · 2026-04-13 06:38:50

383

Views

For a matrix, how to prove its max eigenvalue max inner product with any matrix which is semidefinite and has a trace less than 1?

Published on 13 Apr 2026 - 6:38

score 186 · Answer 14 · 2026-04-11 18:53:40

186

Views

What does $A^{-1}=A^T$ have to do with “orthogonality”?

Published on 11 Apr 2026 - 18:53

score 356 · Answer 15 · 2026-04-17 14:26:44

356

Views

Commutative subalgebra of matrix-algebra

Published on 17 Apr 2026 - 14:26

List Question

Dependent and independent Vectors

How to decide the Jordan normal form of a matrix?

Given matrix $A$, find a matrix $S$ such that result of $S^{-1} \circ A \circ S$ is a diagonal matrix

Is there a way to measure the "magnitude" of a matrix?

Proving cofactor of product of matrices is equal to product of cofactor of matrices from a given representation of cofactor

Showing that a matrix of exponential form has determinant 1

Finding the Jordan canonical form of A and Choose the correct option

Does this matrix have one eigenvalue or two?

Linear combination of vectors vs Dot product in Matrix vector multiplication

Maximum and minimum value of Determinant of $3 \times 3$ Matrix with entries $\pm 1$

Prove that every square matrix $A^2 = I$ has at least one of the eigenvalues $\pm 1$ and no other eigen values

second derivative of a matrix with respect to a vector

For a matrix, how to prove its max eigenvalue max inner product with any matrix which is semidefinite and has a trace less than 1?

What does $A^{-1}=A^T$ have to do with “orthogonality”?

Commutative subalgebra of matrix-algebra

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