
Usage of the word "orthogonal" outside of mathematics
I always found the use of orthogonal outside of mathematics to confuse conversation. You might imagine two orthogonal lines or topics intersecting perfecting and deriving meaning from that …
linear algebra - A question on A-orthogonality of two vectors ...
Figure 22 (a) shows what A-orthogonal vectors look like. Imagine if this article were printed on bubble gum, and you grabbed Figure 22 (a) by the ends and stretched it until the ellipses …
linear algebra - Why are orthogonal projection matrices not ...
An orthogonal projection is not what is represented by an orthogonal matrix. It just orthogonally projects the space onto some subspace. Since subspaces have lower dimension, they cannot …
calculus - Orthogonal Trajectories - Mathematics Stack Exchange
I know that two functions are called orthogonal if at every point their tangents lines are perpendicular to each other. If I differentiate both of these functions, and the resulting …
linear algebra - What's the point of orthogonal diagonalisation ...
Here are couple of my additions to Arturo's answer. Any symmetric matrix which can be diagonalized can be re-written in an orthogonal diagonalized form. Another aspects of this …
linear algebra - Confusion Around Orthogonal Project Matrices ...
Dec 3, 2019 · Generally speaking, when you see the phrase “orthogonal projection matrix,” it means the latter: in other words, you should parse the phrase as “ (orthogonal projection) …
Difference between Perpendicular, Orthogonal and Normal
Aug 26, 2017 · It seems to me that perpendicular, orthogonal and normal are all equivalent in two and three dimensions. I'm curious as to which situations you would want to use one term over …
Orthogonality of Characters - Mathematics Stack Exchange
What does it mean for characters to be orthogonal? For example, if we take the following definition of the Orthogonality relation for characters: $$ \\sum_{r = …
Eigenvectors of real symmetric matrices are orthogonal
Now find an orthonormal basis for each eigenspace; since the eigenspaces are mutually orthogonal, these vectors together give an orthonormal subset of $\mathbb {R}^n$. Finally, …
Are the eigenvectors of a real symmetric matrix always an …
2) More importantly linear independent eigenvectors to the same eigenvalue do not need to be orthogonal. What is true however is that two eigenvectors to different eigenvalues of a …