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  1. 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 …

  2. 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 …

  3. 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?

  4. 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 …

  5. 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. …

  6. 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 …

  7. 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 …

  8. Are all eigenvectors, of any matrix, always orthogonal?

    May 8, 2012 · In general, for any matrix, the eigenvectors are NOT always orthogonal. But for a special type of matrix, symmetric matrix, the eigenvalues are always real and eigenvectors …

  9. 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 …

  10. How do we know that nullspace and row space of a matrix are …

    Dec 25, 2022 · The way that we know that all vectors orthogonal to the null space are in the row space is by counting dimension. In particular, as you noted, the nullspace has dimension n − r …