Eigenvectors and Eigenvalues.

- Transform the unit Hue disc.
- Pick the same colors. It’s eigenvectors!
- The lengths along the eigenvectors are eigenvalues.

Eigenvectors and Eigenvalues.

- Transform the unit Hue disc.
- Pick the same colors. It’s eigenvectors!
- The lengths along the eigenvectors are eigenvalues.

Eigenvectors

A linear transformation T that stays in the same vector space could have some points that stay relatively fixed. A fixed vector v would have T(*v*)=*v*. Many transformations only have the 0 vector as their only fixed point.

But, what happens in a lot is that there are certain vectors that get scaled by the transformation. That is, there exists a scalar λ such that T(*v*)= λ*v*. Since all scalars are unaffected by T, this same λ works for all scalings of *v*. If *v* has this property, it is an eigenvector for T, and λ is an eigenvalue.

A transformation can have multiple independent eigenvectors.

Another cool property is that if λ is less than 1, then T repels vectors from *v*, and if λ is greater than 1, then it attracts T.

The universe is a song, singing itself.

No, really. The solutions of the Schrödinger Equation are harmonics, just like musical notes.

**Quantum state** of an electron orbiting a hydrogen atom where **n=6**, **l=4**, and **m=1** (spin doesn’t matter):

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This is an equal superposition of the **|3,2,1>** and **|3,1,-1>** eigenstates:

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This is an equal superposition of the **|3,2,2>** and **|3,1,-1>** eigenstates:

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This is an equal superposition of the **|4,3,3>** and **|4,1,0>** eigenstates:

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What is an **eigenstate**? It’s a convenient state to use as a basis. We get to decide which quantum states are “pure” and which “mixed”. There’s an easy way and a hard way; the easy way is to use eigenstates as the pure states.

More mathematically: the Schrödinger equation tells us what’s going on in an atom. The answers to the Schrödinger equation are complex and hard to compare. But phrasing the answers as combinations of eigenfunctions makes them comparable. One atom is 30% state *A*, 15% state *B*, 22% state *C* … and another atom is different percentages of the same states.

Just like vectors in 3-D space, where you can orient the axes differently – you can pick different directions for x, y, and z to point in. But now the vectors are abstract, representing states. Still addable so still vectors. Convex or linear combinations of those “pure” states describe the “mixed” states.

Related:

- eigenvectors
- eigenfaces
- eigenstates
- eigenbasis
- eigenfunctions
- eigenmodes
- eigendirections
- eigengraphs, and
- eigencombinations.

**SOURCE: **Atom in a Box

setosa.io

Eigenvectors and eigenvalues visually explained

By Victor Powell and Lewis Lehe

Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRankalgorithm. Let’s see if visualization can make these ideas more intuitive

Via joscha bach’s Twitter

my differential equations final has no mechanical vibrations problems and i have never felt more happy. ty based coily.

source: http://j2artist.deviantart.com/art/NO-SPRINGS-204612292

Possible Boltzmann Names

Tetragrammaton, Metropolis, Delirium, Frisson, Academia, Circuitous, Obschak, Tenfold, Eigenvector, Asymptotic