Question

prove that $\lambda$ is eigenvalue of $T$ if and only if $\bar{\lambda}$ is eigenvalue for $T^*$

score 2.3k · Answer 1 · 2026-04-16 07:37:50

2.3k

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prove that $\lambda$ is eigenvalue of $T$ if and only if $\bar{\lambda}$ is eigenvalue for $T^*$

Published on 16 Apr 2026 - 7:37

score 172 · Answer 2 · 2026-04-17 07:38:11

172

Views

Constructing an $n\times n$ matrix with one eigenvalue

Published on 17 Apr 2026 - 7:38

score 100 · Answer 3 · 2026-04-11 14:16:19

100

Views

PCA: dual formulations and optimization "duality" interpretation

Published on 11 Apr 2026 - 14:16

score 89 · Answer 4 · 2026-04-23 17:37:28

89

Views

Jordan Form - Online Resources

Published on 23 Apr 2026 - 17:37

score 42 · Answer 5 · 2026-04-14 18:08:56

42

Views

Systems of Equations in 4 or more unknowns

Published on 14 Apr 2026 - 18:08

score 73 · Answer 6 · 2026-04-14 14:50:09

73

Views

kernel pca eigenproblem and duality

Published on 14 Apr 2026 - 14:50

score 301 · Answer 7 · 2026-04-16 09:58:38

301

Views

$Ax=b$ has a solution over $\Bbb{F}_p$ for every prime $p~\implies$ existence of real solution??

Published on 16 Apr 2026 - 9:58

score 271 · Answer 8 · 2026-04-16 03:29:32

271

Views

If I have the minimal polynomial for $T$, is the minimal polynomial for$ T^{-1}$ the inverse of that polynomial?

Published on 16 Apr 2026 - 3:29

score 89 · Answer 9 · 2026-04-13 17:49:01

89

Views

Why is the smallest element the minimizer for the square-rooted absolute distance?

Published on 13 Apr 2026 - 17:49

score 399 · Answer 10 · 2026-04-29 08:34:47

399

Views

Spectral radius $\rho\left(A\right)$ of an irreducible, non-negative, and non-singular matrix

Published on 29 Apr 2026 - 8:34

score 566 · Answer 11 · 2026-04-15 13:59:39

566

Views

Upper bound on the singular values of the square root of a matrix

Published on 15 Apr 2026 - 13:59

score 76 · Answer 12 · 2026-04-14 04:34:16

76

Views

$f:R \times R \rightarrow R \times R \times R$ is a R-module homomorphism. Prove f is not surjective.

Published on 14 Apr 2026 - 4:34

score 416 · Answer 13 · 2026-04-14 13:14:25

416

Views

Norm defined on a Real Vector Space of Polynomials

Published on 14 Apr 2026 - 13:14

score 44 · Answer 14 · 2026-04-09 08:14:34

44

Views

How did the scientists reach the cross product?

Published on 09 Apr 2026 - 8:14

score 207 · Answer 15 · 2026-04-16 06:00:23

207

Views

Derivative of the determinant map

Published on 16 Apr 2026 - 6:00

List Question

prove that $\lambda$ is eigenvalue of $T$ if and only if $\bar{\lambda}$ is eigenvalue for $T^*$

Constructing an $n\times n$ matrix with one eigenvalue

PCA: dual formulations and optimization "duality" interpretation

Jordan Form - Online Resources

Systems of Equations in 4 or more unknowns

kernel pca eigenproblem and duality

$Ax=b$ has a solution over $\Bbb{F}_p$ for every prime $p~\implies$ existence of real solution??

If I have the minimal polynomial for $T$, is the minimal polynomial for$ T^{-1}$ the inverse of that polynomial?

Why is the smallest element the minimizer for the square-rooted absolute distance?

Spectral radius $\rho\left(A\right)$ of an irreducible, non-negative, and non-singular matrix

Upper bound on the singular values of the square root of a matrix

$f:R \times R \rightarrow R \times R \times R$ is a R-module homomorphism. Prove f is not surjective.

Norm defined on a Real Vector Space of Polynomials

How did the scientists reach the cross product?

Derivative of the determinant map

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