Dietrich Trenkler
University of Osnabrück
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Featured researches published by Dietrich Trenkler.
International Journal of Mathematical Education in Science and Technology | 2008
Götz Trenkler; Dietrich Trenkler
Using the elementary tools of matrix theory, we show that the product of two rotations in the three-dimensional Euclidean space is a rotation again. For this purpose, three types of rotation matrices are identified which are of simple structure. One of them is the identity matrix, and each of the other two types can be uniquely characterized by exactly one vector. The resulting products are investigated by using the basic properties of the vector cross product.
International Journal of Mathematical Education in Science and Technology | 2012
Götz Trenkler; Karsten Schmidt; Dietrich Trenkler
In this article a new parameterization of magic squares of order three is presented. This parameterization permits an easy computation of their inverses, eigenvalues, eigenvectors and adjoints. Some attention is paid to the Luoshu, one of the oldest magic squares.
Communications in Statistics-theory and Methods | 1984
Dietrich Trenkler; Götz Trenkler
The purpose of this paper is to extend the results achieved by Hsuan (1981) to a wide class of biased estimators. It is shown that in the case of multicollinearity ridge and Iteration estimator can be made very close to the principal component estimator whereas the shrunken estimator does not have this property.
International Journal of Mathematical Education in Science and Technology | 2017
Götz Trenkler; Dietrich Trenkler
ABSTRACT Given three planes in space, a complete characterization of their intersection is provided. Special attention is paid to the case when the intersection set does not exist of one point only. Besides the vector cross product, the tool of generalized inverse of a matrix is used extensively.
International Journal of Mathematical Education in Science and Technology | 2013
Götz Trenkler; Karsten Schmidt; Dietrich Trenkler
In this note, we find polar as well as singular value decompositions of a 3×3 magic square, i.e. a 3×3 matrix M with real elements where each row, column and diagonal adds up to the magic sum s of the magic square.
College Mathematics Journal | 2012
Götz Trenkler; Dietrich Trenkler
Summary The numerical range, easy to understand but often tedious to compute, provides useful information about a matrix. Here we describe the numerical range of a 3 × 3 magic square. Applying our results to one of the most famous of those squares, the Luoshu, it turns out that its numerical range is a piece of cake—almost.
The Mathematical Gazette | 2007
Götz Trenkler; Dietrich Trenkler
Discussiones Mathematicae Probability and Statistics | 2013
Götz Trenkler; Dietrich Trenkler
Archive | 2008
Götz Trenkler; Dietrich Trenkler
American Mathematical Monthly | 2008
Dietrich Trenkler; Götz Trenkler; Patrick Corn