|WikiProject Mathematics||(Rated C-class, Mid-importance)|
Preferred notation for discussion
Is it the purpose of this discussion to have only mathematicians talk to other mathematicians? I come from a programming background and am getting into 3D transformations. (Not a mathematician.) I cannot read the first paragraph. In the second sentence Rn (Rn] and Rm are used. In most programming languages that is an error as both are undefined.MartinRinehart (talk) 21:30, 25 November 2009 (UTC)
- My friend, frankly, most mathematicians are not actual mathematicians, but retarded drones. They express things like you see in this article, because they themselves don’t understand the whys. They never learned it. They just know it by heart. Real mathematics comes from a problem that people once tried to solve. Then it evolved, so that it could solve other problems. Until it reached a very generalized form. This form then is “taught” (more hammered in) without any origins and reasonings, and without allowing any questioning on “the holy rules”. And real mathematicians hate this, because it is the exact opposite of what math is all about. If you want to really learn math, in a way that allows to come up with things on your own, because you get it… deeply and fully… then I recommend reading the book that Paul Lockhart will bring out when he’s done with writing it. Which is written to counter those horrible failures of drone pseudo-mathematicians. — 22.214.171.124 (talk) 00:28, 21 August 2010 (UTC)
Affine matrix question
Does anyone know if it is possible to extract information from an affine matrix? Say you have a matrix rotated by 180 degrees and skewed on the X axis can you extract those two pieces of information? --126.96.36.199 16:29, 24 May 2006 (UTC)
- yeah! there are various techniques to decompose a transformation matrix into one rotate, one translate and two shear operations. --Diego 13:58, 19 June 2006 (UTC)
I don't have the time to edit it, but someone should edit the section about the transformation matrix for a reflection. The version they have is fine for a line from the origin to (ux,uy), but in many cases it's easier to do it as a reflection in the line y = x tan q. The matrix would be [[cos 2q sin 2q] [sin 2q -cos 2q]] (...I think).
2D rotation matrix error
From what I can tell, the clock-wise and anti-clockwise rotations being presented are correct. However, it is not necessary to include both, clock-wise rotations are simply anti-clock wise rotations by a negative angle. Since sine and cosine are defined for all of the real numbers (and all possible angles) it's not necessary include both kinds of rotations. I recommend removing the clock-wise rotation, since mathematically positive rotation is counter-clockwise according to the definition of sine and cosine. — Preceding unsigned comment added by 188.8.131.52 (talk) 20:06, 13 July 2014 (UTC)
Error in the Perspective Projection Section
The matrix in the section on perspective projection is wrong. It's just the identity matrix. :) I think the bottom row should have been "0 0 1 0" instead of "0 0 0 1". Right? (sorry, i'm new to wikipedia, don't feel comfortable enough to change articles yet) Zaippa (talk) 04:15, 20 September 2008 (UTC)
Ok, i fixed the error here a day later.. Now the matrix actually does what it says in the text :) (seems that the matrix was correct some edits ago, but someone came along and changed it into the identity matrix) Zaippa (talk) 16:37, 20 September 2008 (UTC)
This is how the transforms look when calculated symbolically in MathCad:
I think there is also another error. If we are mapping onto z = h, then the number in the bottom row should be -1/h. In this case -1. I am posting here because I'm not really sure, so somebody who knows should fix this.My source.--184.108.40.206 (talk) 14:49, 26 November 2008 (UTC)
FEB 2014: The pair of rotation matrices suddenly appears twice - (supposedly CW, CCW, but actually both CCW), the second set is correct. — Preceding unsigned comment added by 2620:104:E001:9030:AD41:42DB:96B0:860E (talk) 14:58, 18 February 2014 (UTC)
I believe the first reflection matrix given in http://en.wikipedia.org/wiki/Transformation_matrix#Reflection is not correct. Here I expose a correct statement for replacement:
"To reflect a vector about a line that goes through the origin, let (nx, ny) be a *unit* vector in the direction of the line:
Nevertheless, I don't want to erase current work because my arguments are heuristics, not matematics ;)... I'm not a matematician but a software developer. I tried to use current transformation matrix in a program and didn't work. The given one is correct and can be easily derived from equation (2) of http://mathworld.wolfram.com/Reflection.html.
Hope that somebody (more indicated than me) can correct the problem.
greetings from Uruguay,
As I understand it, translation is a liner transformation. As such, does it have an associated matrix form? Either way, I'd like to see this explained in the article. — Cheers, Steelpillow (Talk) 13:04, 12 December 2010 (UTC)
- The first sentence of this article basically says it, though you'll have to have some knowledge of linear algebra to understand it. Simply put, a linear transformation is a matrix. And any matrix can be used to execute a linear transformation. When you multiply a vector with a matrix, the matrix is the linear transformation from the first vector, into the resulting vector. --220.127.116.11 (talk) 20:40, 10 January 2011 (UTC)
The other language links lead to pages (e.g. in Russian, Ukrainian, French) which discuss change of basis matrices rather than general transformation matrices, although some of them go into 2D/3D graphics later on. Maybe the links should be changed accordingly? --ToastieIL (talk) 00:57, 24 September 2011 (UTC)
Homogeneous transformation matrix
4x4 transformation matrices containing 4-D homogeneous coordinates are widely used to perform non-linear (affine and projective) transformations of vectors in 3-D space. These transformations become linear when represented in 4-D, using homogeneous coordinates. The expression "homogeneous transformation matrix" is widely and rather conventionally used by many experts in computer graphics, robotics, biomechanics, to indicate these matrices. However, these matrices are used to perform transformations that are non-homogeneous in 3-D. They are frequently used, for instance, to represent roto-translation, a composition of translation and rotation. In this specific case, their proper name is, as suggested in the article, affine transformation matrices.
Since the misleading expression "homogeneous transformation matrix" is widely used, and the internal link Homogeneous transformation matrix redirects to Transformation matrix#Uses, I think it would be wise to shortly discuss it in the article.
On the contrary, a non-linear transformation may be non-homogeneous. Translation and roto-translation, for instance, are non-homogeneous.
NOTE : This topic was briefly discussed elsewhere.