
Usage of the word "orthogonal" outside of mathematics
Feb 11, 2011 · I always found the use of orthogonal outside of mathematics to confuse conversation. You might imagine two orthogonal lines or topics intersecting perfecting and …
linear algebra - What is the difference between orthogonal and ...
Aug 4, 2015 · I am beginner to linear algebra. I want to know detailed explanation of what is the difference between these two and geometrically how these two are interpreted?
Difference between Perpendicular, Orthogonal and Normal
Aug 26, 2017 · Orthogonal is likely the more general term. For example I can define orthogonality for functions and then state that various sin () and cos () functions are orthogonal. An …
orthogonality - What does it mean when two functions are …
Jul 12, 2015 · I have often come across the concept of orthogonality and orthogonal functions e.g in fourier series the basis functions are cos and sine, and they are orthogonal. For vectors …
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 Rn R n. Finally, since …
orthogonal vs orthonormal matrices - what are simplest possible ...
Sets of vectors are orthogonal or orthonormal. There is no such thing as an orthonormal matrix. An orthogonal matrix is a square matrix whose columns (or rows) form an orthonormal basis. …
What does it mean for two functions to be orthogonal?
Nov 4, 2015 · To check whether two functions are orthogonal, you simply take their inner product in Rn R n. That is, you multiply the functions on the subintervals and then sum the products.
Difference between orthogonal and orthonormal matrices
The literature always refers to matrices with orthonormal columns as orthogonal, however I think that's not quite accurate. Would a square matrix with orthogonal columns, but not orthonormal, …
What is orthogonal transformation? - Mathematics Stack Exchange
Mar 17, 2017 · The equation ATA = AAT A T A = A A T says that A−1 =AT A 1 = A T so, at least, orthogonal matrices are easy to invert. What does it mean? Matrices represents linear …
Orthogonal planes in n-dimensions - Mathematics Stack Exchange
3 Generally, two linear subspaces are considered orthogonal if every pair of vectors from them are perpendicular to each other. This doesn't wok in three dimensions: two planes are either …