Question

Consider $v=v_1+v_2$, where $v_1 \in M$ and $v_2 \in M^{\perp}$

score 39 · Answer 1 · 2020-06-25 05:33:25

39

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Consider $v=v_1+v_2$, where $v_1 \in M$ and $v_2 \in M^{\perp}$

Published on 25 Jun 2020 - 5:33

score 443 · Answer 2 · 2020-06-26 12:37:09

443

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Can I create an orthogonal basis using exponentially decaying (co)sines?

Published on 26 Jun 2020 - 12:37

score 171 · Answer 3 · 2020-07-01 07:00:32

171

Views

Most simple procedure for generating a set of orthogonal polynomials

Published on 01 Jul 2020 - 7:00

score 636 · Answer 4 · 2020-07-03 17:39:14

636

Views

Is every sine and cosine orthogonal to every other?

Published on 03 Jul 2020 - 17:39

score 496 · Answer 5 · 2020-07-04 09:23:39

496

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Why sine and cosine are orthogonal over continuum and over discrete set?

Published on 04 Jul 2020 - 9:23

score 249 · Answer 6 · 2020-07-04 22:31:43

249

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Find the orthogonal projection of $v=\begin{pmatrix} 4 \cr -6 \cr -6 \end{pmatrix}$ onto the line L

Published on 04 Jul 2020 - 22:31

score 102 · Answer 7 · 2020-07-07 19:11:56

102

Views

Finding $a$ such that these two vectors are orthogonal

Published on 07 Jul 2020 - 19:11

score 49 · Answer 8 · 2026-03-25 11:10:36

49

Views

Omit an element of a Gram–Schmidt process

Published on 25 Mar 2026 - 11:10

score 331 · Answer 9 · 2020-07-12 07:08:44

331

Views

(Weak convergence $\implies$ strong convergence) $\implies \mathcal{H}$ finite-dimensional

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score 76 · Answer 10 · 2020-07-12 15:37:45

76

Views

A question in an example in book Hoffman and Kunze in Lesson- Inner Product Spaces

Published on 12 Jul 2020 - 15:37

score 42 · Answer 11 · 2026-03-27 22:05:02

42

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Distance of a vector from a subspace made by equations in Linear Algebra

Published on 27 Mar 2026 - 22:05

score 45 · Answer 12 · 2026-03-27 22:03:24

45

Views

Converting a linear space into a orthonormal base

Published on 27 Mar 2026 - 22:03

score 300 · Answer 13 · 2020-07-14 20:18:20

300

Views

Is there more than one way to diagonlize a matrix without using eigenvalue decomposition?

Published on 14 Jul 2020 - 20:18

score 64 · Answer 14 · 2020-07-17 02:02:41

64

Views

Extending a result of the real-case to the complex-case in a Hilbert space.

Published on 17 Jul 2020 - 2:02

score 95 · Answer 15 · 2020-07-17 12:41:39

95

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2 questions in text of Lesson : Inner Product spaces of Hoffman Kunze Linear Algebra( Related to Orthogonality)

Published on 17 Jul 2020 - 12:41

List Question

Consider $v=v_1+v_2$, where $v_1 \in M$ and $v_2 \in M^{\perp}$

Can I create an orthogonal basis using exponentially decaying (co)sines?

Most simple procedure for generating a set of orthogonal polynomials

Is every sine and cosine orthogonal to every other?

Why sine and cosine are orthogonal over continuum and over discrete set?

Find the orthogonal projection of $v=\begin{pmatrix} 4 \cr -6 \cr -6 \end{pmatrix}$ onto the line L

Finding $a$ such that these two vectors are orthogonal

Omit an element of a Gram–Schmidt process

(Weak convergence $\implies$ strong convergence) $\implies \mathcal{H}$ finite-dimensional

A question in an example in book Hoffman and Kunze in Lesson- Inner Product Spaces

Distance of a vector from a subspace made by equations in Linear Algebra

Converting a linear space into a orthonormal base

Is there more than one way to diagonlize a matrix without using eigenvalue decomposition?

Extending a result of the real-case to the complex-case in a Hilbert space.

2 questions in text of Lesson : Inner Product spaces of Hoffman Kunze Linear Algebra( Related to Orthogonality)

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