On the Miquel point of simplices

Similar documents
The notable configuration of inscribed equilateral triangles in a triangle

On the Miquel point of simplices

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product.

DS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.

Review of linear algebra

Math 302 Outcome Statements Winter 2013

Linear algebra. S. Richard

1. General Vector Spaces

Auerbach bases and minimal volume sufficient enlargements

Extra Problems for Math 2050 Linear Algebra I

October 25, 2013 INNER PRODUCT SPACES

NOTES on LINEAR ALGEBRA 1

Review of Linear Algebra

1: Introduction to Lattices

AN ELEMENTARY PROOF OF THE SPECTRAL RADIUS FORMULA FOR MATRICES

Analysis-3 lecture schemes

1 Last time: least-squares problems

Introduction to Geometry

Math 443 Differential Geometry Spring Handout 3: Bilinear and Quadratic Forms This handout should be read just before Chapter 4 of the textbook.

arxiv: v1 [math.mg] 27 Jan 2016

22m:033 Notes: 3.1 Introduction to Determinants

Linear Systems and Matrices

1. Foundations of Numerics from Advanced Mathematics. Linear Algebra

4.2. ORTHOGONALITY 161

MATH 23a, FALL 2002 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Solutions to Final Exam (in-class portion) January 22, 2003

Math Camp Lecture 4: Linear Algebra. Xiao Yu Wang. Aug 2010 MIT. Xiao Yu Wang (MIT) Math Camp /10 1 / 88

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2.

ELEMENTARY LINEAR ALGEBRA

Elementary maths for GMT

LATTICE POINT COVERINGS

Determinants Chapter 3 of Lay

Math113: Linear Algebra. Beifang Chen

12. Perturbed Matrices

Algebra II. Paulius Drungilas and Jonas Jankauskas

A matrix over a field F is a rectangular array of elements from F. The symbol

LINEAR ALGEBRA W W L CHEN

Elementary Linear Algebra

Math 341: Convex Geometry. Xi Chen

MATH 240 Spring, Chapter 1: Linear Equations and Matrices

SOLUTION OF GENERALIZED LINEAR VECTOR EQUATIONS IN IDEMPOTENT ALGEBRA

Linear Algebra. Matrices Operations. Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0.

a 11 a 12 a 11 a 12 a 13 a 21 a 22 a 23 . a 31 a 32 a 33 a 12 a 21 a 23 a 31 a = = = = 12

Numerical Linear Algebra Homework Assignment - Week 2

Another algorithm for nonnegative matrices

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.

MAT 2037 LINEAR ALGEBRA I web:

Chapter Two Elements of Linear Algebra

Linear Algebra I. Ronald van Luijk, 2015

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.

A Solution of a Tropical Linear Vector Equation

Lecture 7. Econ August 18

ANALYTICAL MATHEMATICS FOR APPLICATIONS 2018 LECTURE NOTES 3

CSE 206A: Lattice Algorithms and Applications Winter The dual lattice. Instructor: Daniele Micciancio

For example, if M = where A,,, D are n n matrices over F which all commute with each other, then Theorem 1says det F M = det F (AD, ): (2) Theorem 1 w

Math Camp Notes: Linear Algebra I

Deviation Measures and Normals of Convex Bodies

Some notes on Coxeter groups

Chapter 4 - MATRIX ALGEBRA. ... a 2j... a 2n. a i1 a i2... a ij... a in

Polynomial mappings into a Stiefel manifold and immersions

SYLLABUS. 1 Linear maps and matrices

Chapter 1: Systems of Linear Equations

Matrices. Chapter Definitions and Notations

Upper triangular matrices and Billiard Arrays

Math Linear Algebra II. 1. Inner Products and Norms

3 Matrix Algebra. 3.1 Operations on matrices

Linear Algebra. Min Yan

(K + L)(c x) = K(c x) + L(c x) (def of K + L) = K( x) + K( y) + L( x) + L( y) (K, L are linear) = (K L)( x) + (K L)( y).

Sylvester-Gallai Theorems for Complex Numbers and Quaternions

Zaslavsky s Theorem. As presented by Eric Samansky May 11, 2002

Linear Algebra Primer

Linear Algebra Homework and Study Guide

A Simplex Contained in a Sphere

Math 240 Calculus III

Linear Algebra: Lecture notes from Kolman and Hill 9th edition.

Sums of Squares of Distances in m-space

Linear algebra 2. Yoav Zemel. March 1, 2012

Some Notes on Linear Algebra

Hamburger Beiträge zur Angewandten Mathematik

The Determinant: a Means to Calculate Volume

Knowledge Discovery and Data Mining 1 (VO) ( )

Covariograms of convex bodies in the plane: A remark on Nagel s theorem

On Conics in Minkowski Planes

Determinants. Recall that the 2 2 matrix a b c d. is invertible if

Diagonalisierung. Eigenwerte, Eigenvektoren, Mathematische Methoden der Physik I. Vorlesungsnotizen zu

MATH 315 Linear Algebra Homework #1 Assigned: August 20, 2018

Matrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices

Chapter 2. Vectors and Vector Spaces

Math 313 (Linear Algebra) Exam 2 - Practice Exam

EIGENVALUES AND EIGENVECTORS 3

CP3 REVISION LECTURES VECTORS AND MATRICES Lecture 1. Prof. N. Harnew University of Oxford TT 2013

a11 a A = : a 21 a 22

Stat 159/259: Linear Algebra Notes

x 1 x 2. x 1, x 2,..., x n R. x n

Conceptual Questions for Review

ON SUM OF SQUARES DECOMPOSITION FOR A BIQUADRATIC MATRIX FUNCTION

Chapter 3 Transformations

Linear Algebra (Review) Volker Tresp 2017

II. Determinant Functions

Midterm for Introduction to Numerical Analysis I, AMSC/CMSC 466, on 10/29/2015

ELEMENTARY MATRIX ALGEBRA

Transcription:

Elem Math 63 (2008) 126 136 0013-6018/08/030126-11 c Swiss Mathematical Society, 2008 Elemente der Mathematik On the Miquel point of simplices Lothar Heinrich Lothar Heinrich promovierte im Jahr 1980 an der Technischen Universität Dresden Von 1995 1997 war er Professor für Wahrscheinlichkeitstheorie und Statistik an der Technischen Universität Bergakademie in Freiberg Seit 1997 ist er Professor für Mathematik an der Universität Augsburg Seine Forschungsinteressen liegen in der angewandten Wahrscheinlichkeitstheorie (stochastische Geometrie, große Abweichungen, Grenzwertsätze, räumliche Statistik, probabilistische Zahlentheorie) 1 Introduction and preliminaries If points are marked on each side of a planar triangle, one on each side (or on a side s extension), then the three circles (each passing through a vertex and the marked points on the adjacent sides) are concurrent at a point M This interesting fact was first proved and published by Augueste Miquel [3] in 1838, see also Weisstein [4] for further details and extensions This result is well-known in planar geometry as Miquel s theorem,andm is called the Miquel point However, much less known (even amongst geometers) is the following multidimensional generalization of Miquel s theorem: If one point is marked on each of the d(d + 1)/2 edges of a d-simplex S(x 0, x 1,,x d ) = { x 0 + µ i (x i x 0 ) : i=1 i=1 } µ i 1,µ i 0, i = 1,,d (1) Der Satz von Miquel ist ein klassisches Resultat der Elementargeometrie: Wird auf jeder Seite eines gegebenen Dreiecks oder deren Verlängerung ein Punkt beliebig festgelegt, und wird durch jeweils eine Ecke und die beiden markierten Punkte auf den Nachbarseiten ein Kreis gezeichnet, so schneiden sich diese drei Kreise in einem Punkt In der vorliegenden Arbeit wird mit einfachen Hilfsmitteln der linearen Algebra erstmals ein vollständiger Beweis der Verallgemeinerung des Miquelschen Satzes auf d-dimensionale Simplizes angegeben: Wird auf den d(d +1)/2 Kanten je ein Punkt beliebig markiert, dann haben die d +1 Kugeln, wovon jede durch je einen Eckpunkt und die markierten Punkte auf den d in diesen Eckpunkt einlaufenden Kanten festgelegt wird, genau einen Punkt gemeinsam

On the Miquel point of simplices 127 with positive volume and a sphere S i is drawn through each vertex x i and the points marked on the d edges which meet in x i, then these d + 1 spheres S i, i = 0, 1,,d, all meet in a point M which will also be called Miquel s point in this note By the best of the author s knowledge the only known proof of this result seems to be that given by Konnully [2] Konnully s proof is based on the fact that there exists a common orthogonal sphere with respect to the so-called Miquel spheres S 0, S 1,,S d and it is shown that the radius of this sphere equals zero However, such a sphere does not always exist even in the planar case, namely if the unique point which has the same circle power wrt three pairwise non-concentric circles lies in the interior of each of these circles The aim of the present note is to provide a rigorous analytical proof which requires only simple facts from analytic geometry and linear algebra As a by-product we obtain a family of upper bounds of Gram s determinant (including Hadamard s inequality) which seems to be of interest in its own right This auxiliary result in Section 3 is valid in all Euclidean vector spaces It should be mentioned that an analogous construction with points marked on the (d 1)- faces (instead of on the edges) of the simplex does in general not yield a common point that belongs to all spheres Let the points of the Euclidean space R d be represented by column vectors x = (x 1,,x d ) having the Euclidean norm x = x, x, where the scalar product, is defined by y, z =y z = y 1 z 1 + + y d z d for y = (y 1,,y d ) and z = (z 1,,z d ) Furthermore, we recall the well-known fact from analytic geometry that the circumsphere of the d-simplex (1) consists of all points x R d satisfying the equation x 2 x 0 2 x 1 2 x d 2 x x 0 x 1 x d 1 1 1 1 = 0, (2) where the left-hand side is for a (d + 2) (d + 2) determinant Without loss of generality, we shall assume the vertex x 0 of the d-simplex (1) to coincide with the origin o = (0,,0) and the vertices x i = (x 1i,,x di ), i = 1,,d, tobe linearly independent vectors, ie := det X = 0, (3) where X = (x 1,,x d ) denotes the quadratic matrix with columns x 1,,x d For 0 i < j d, letx ij be a fixed point on the edge joining the vertices x i and x j being distinct from its end-points, ie x ij = x i + λ ij (x j x i ) for some λ ij / {0, 1} For notational ease put λ ji = 1 λ ij for i < j and λ ii = 1/2fori = 0, 1,,d

128 L Heinrich In accordance with (2), the unique d-sphere S 0 passing through the origin o and the points x 01,,x 0d consists of all points x = (x 1,,x d ) R d satisfying x 2 0 λ 2 01 x 1 2 λ 2 0d x d 2 x 1 0 λ 01 x 11 λ 0d x 1d 0 (x) := = 0 x d 0 λ 01 x d1 λ 0d x dd 1 1 1 1 Since d i=0 λ 0i = 0, the latter equation is equivalent to x 2 λ 01 x 1 2 λ 0d x d 2 x 1 x 11 x 1d x d x d1 x dd = 0 (4) Likewise, a point x = (x 1,,x d ) R d belongs to the unique d-sphere S i containing the vertex x i and the marked points x 0i,,x i 1,i, x i,i+1,,x id on the adjacent edges if and only if i (x) := x 2 x i 2 λ 2 0i x i 2 x i + λ ij (x j x i ) 2 x 1 x 1i λ 0i x 1i x 1i + λ ij (x 1 j x 1i ) x d x di λ 0i x di x di + λ ij (x dj x di ) 1 1 1 } 1 {{ } j {1,,d}\{i} = 0 for i = 1,,d By appealing to the well-known transformation rules for determinants we obtain x 2 λ 2 0i x i 2 (1 + λ 0i ) x i 2 λ 0i x i 2 x i + λ ij (x j x i ) 2 x 1 λ 0i x 1i x 1i 0 x 1i + λ ij (x 1 j x 1i ) i (x) = (λ 0i 1) x d λ 0i x di x di 0 x di + λ ij (x dj x di ) 0 0 1 1 }{{} = (λ 0i 1) j =i λ ij x 2 λ 2 0i x i 2 c ii λ 0i x i 2 c ij x 1 λ 0i x 1i x 1i 0 x 1 j x d λ 0i x di x di 0 x dj 0 0 1 0 j {1,,d}\{i} }{{} j {1,,d}\{i},

On the Miquel point of simplices 129 where c ij := x i + λ ij (x j x i ) 2 x i 2 λ ij + ( 1 + λ 0i ) xi 2 = λ 0i x i 2 + x j 2 λ ji x i x j 2 for i, j = 1,,d The latter equality follows by using the identity u v 2 = u 2 + v 2 2 u, v Since c ii = (1 + λ 0i ) x i 2 we may simplify the previous determinant by multiplying the second column by λ 0i and adding it to the first column Consequently, in view of λ ij / {0, 1} for i = j, the equation i (x) = 0 can be expressed as x 2 + λ 0i x i 2 c i1 c id x 1 x 11 x 1d = 0 for i = 1,,d (5) x d x d1 x dd Obviously, the set of points x R d satisfying both equations (4) and (5) coincides with the (d 1)-dimensional sphere S 0 S i By subtracting equation (4) from equation (5) and applying the summation law for determinants differing in only one row we obtain the linear equation λ 0i x i 2 c i1 λ 01 x 1 2 c id λ 0d x d 2 x 1 x 11 x 1d D i (x) := = 0 x d x d1 x dd that holds for all x = (x 1,,x d ) R d belonging to the (uniquely determined) hyperplane H i containing the (d 1)-sphere S 0 S i Combining the equations D i (x) = 0, i = 1,,d, yields a system of d linear equations whose solution (if it exists!) coincides with the point of intersection of the hyperplanes H 1,,H d To find this point we introduce the matrix A = (a ij ) d i, j=1 with entries a ij := c ij λ 0 j x j 2 = λ 0i x i 2 + (1 λ 0 j ) x j 2 λ ji x i x j 2 (6) Let us first note the remarkable fact that, in view of λ ij + λ ji = 1fori = j and λ ii = 1/2, a ij + a ji = x i 2 + x j 2 (λ ij + λ ji ) x i x j 2 = 2 x i, x j for i, j = 1,,d, which can be expressed concisely by 1 ( A + A ) = G(X) := ( xi, x j ) d i, j=1 2, (7) where G(X) and det G(X) are called Gram s matrix and Gram s determinant, respectively, of the vectors x 1,,x d InR d we have G(X) = X X and thus det G(X) = 2 Onthe

130 L Heinrich other hand, the relation (7) is meaningful in any real vector space V on which a symmetric, positive definite, bilinear form, briefly called scalar product is defined Such vector spaces are usually called Euclidean vector spaces Proposition For arbitrary linearly independent vectors x 1,,x d R d and real numbers λ ij,i, j = 0, 1,,d, satisfying λ ij +λ ji = 1 and λ ij / {0, 1} for i, j = 0, 1,,d, there exists a unique point of intersection H 1 H d = x = (x 1,,x d ),whichis given by x = XA 1 x λ with x λ = (λ 01 x 1 2,,λ 0d x d 2 ) (8) The first step in proving this result is to show that x = (x 1,,x d ) obeys the linear equations D i (x) = 0fori = 1,,d if and only if it satisfies the equation A X 1 x = x λ This is left to the reader as an exercise To see the invertibility of the matrix A we use (7) and decompose A as follows: A = B + G(X) with B = 1 2 ( A A ) (9) Here the matrix B is skew-symmetric, ie B = B This skew-symmetry and the positive definiteness of the Gram matrix G(X) show the quadratic form x A x = x G(X) x to be strictly positive for any x = o This in turn implies A x = o for any x = o, which is equivalent to det A = 0forallλ ij satisfying λ ij + λ ji = 1 This combined with a simple continuity argument tells us that det A < 0 contradicts det G(X) >0, leaving as the only possibility det A > 0 By the same argument we get det ( B + α G(X) ) > 0foranyα>0, entailing det B 0 by letting α 0 However det B may take positive values only for even d 2 due to the very definition of skew-symmetry Moreover, we shall bound det A uniformly from below by Gram s determinant det G(X) in Section 3 Finally, note that the proposition does not answer the question whether x S i holds for some or even all i = 0, 1,,d This will be the subject of the next section 2 The main result and its proof Theorem Under the conditions of the above proposition the point x given in (8) belongs to each of the spheres S i,i = 0, 1,,d, that is, x is the unique point of intersection S 0 S 1 S d In other words, x coincides with Miquel s point M of the simplex S(o, x 1,,x d ) wrt the marked points x ij = x i + λ ij (x j x i ) on its edges Proof After transposing and expanding the determinant on the left-hand side of (4) along the first row we recognize that 0 (x ) = 0 is equivalent to x 2 j=1 x j x 11 λ 01 x 1 2 x d1 x 12 λ 02 x 2 2 x d2 x 1d λ 0d x d 2 x dd = 0 (10)

On the Miquel point of simplices 131 z 8 x 3 =(1, 1, 6) 6 Miquel point M = (341, 089, 154) 4 2 x 2 =(3, 6, 0) 0 x 0 =(0, 0, 0) x 1 =(5, 0, 0) -2 0 2 4 6 Fig 1: Tetrahedron S(x 0, x 1, x 2, x 3 ) and the four Miquel spheres with common Miquel point M for λ 01 = 1/2,λ 02 = 1/4, λ 03 = 2/3,λ 12 = 1/3, λ 13 = 1/4,λ 23 = 2/3 5 y 3 1 x Dividing by = 0 the latter equation takes the form x, x z 0 = 0, where the components of z 0 = (z 1,,z d ) are given by x 11 λ 01 x 1 2 x d1 z j = 1 x 12 λ 02 x 2 2 x d2 for j = 1,,d x 1d λ 0d x d 2 x dd Applying Cramer s rule we see that z 0 satisfies the linear equation X z 0 = x λ,ie x i / x i, z 0 =λ 0i x i for i = 1,,d, sothatz 0 = (X ) 1 x λ The geometric interpretation of the above relations reveals that the orthogonal projection of z 0 onto the edge joining o and x i equals x 0i = λ 0i x i for i = 1,,d Furthermore, z 0 lies on the sphere S 0 and, provided that x S 0, the point z 0 /2 coincides with the centre of S 0 by appealing to the converse of Thales theorem Hence, 0 (x ) = 0 holds if and only if x, x (X ) 1 x λ =x λ (A 1 ) X ( XA 1 (X ) 1 ) x λ = x λ C x λ = 0, where C := (A 1 ) X XA 1 (A 1 )

132 L Heinrich y 6 5 4 3 2 1 M 0 0 1 2 3 4 5 x Fig 2: Intersection of the tetrahedron and the Miquel spheres in Fig 1 with the plane z = 154 parallel to the xy-plane Using (7) we find that C = 1 ( 2 (A 1 ) A + A ) A 1 (A 1 ) = 1 2 ( ) A 1 (A 1 ) = C, thus proving the skew-symmetry of the matrix C which is necessary and sufficient for the quadratic form x λ C x λ to disappear for any real λ 01,,λ 0d and any x 1,,x d R d, as we wished to prove It remains to show that i (x ) = 0fori = 1,,d For this we transpose the determinant on the left-hand side of (5) and expand it along the first row leading to the system of equations x 11 c i1 x d1 ( x 2 + λ 0i x i 2 ) x j = 0, i = 1,,d j=1 x 1d c id x dd }{{} j-th column In the next step we subtract equation (9) from the latter equation and divide the difference by = 0 Finally, using the abbreviation (6) we arrive at the equation λ 0i x i 2 = x j w ij with w ij = 1 x 11 a i1 x d1, j = 1,,d, j=1 x 1d a id x dd }{{} j-th column

On the Miquel point of simplices 133 which is equivalent to i (x ) = 0 for each i = 1,,d Again, according to Cramer s rule the vector w i = (w i1,,w id ) satisfies the equation X w i = (a i1,,a id ),thatis, we may write w i = (X ) 1 A e i with e i = (0,,1,,0) denoting the i-th column vector of the d d identity matrix Hence, the above equations can be rewritten as λ 0i x i 2 = w i x = e i A X 1 x for i = 1,,d However, these equations follow directly from (8) and vice versa Thus the proof of the Theorem is complete Note that the point z i = w i +z 0 x i which can be shown to belong to the sphere S i satisfies the orthogonality relation x z i, x x i =0 for i = 1,,d This is easily verified by straightforward computations using the expressions of x, w i, and z 0 given in the above proof As a result, the sphere S i has the centre (z i + x i )/2 = (w i + z 0 )/2 3 Bounds for determinants In the subsequent lemma we establish a lower bound for the determinant of A that is uniform in all the varying parameters λ ij,0 i < j d, and even positive provided the vectors x 1,,x d are linearly independent Note that the below inequality (11) is valid for any d ( 2) elements of an arbitrary Euclidean vector space Lemma Let V be a Euclidean vector space equipped with scalar product, For any x 1,,x d V and any real numbers λ ij,i, j = 0, 1,,d, satisfying λ ij + λ ji = 1 for i, j = 0, 1,, d, the inequality det A det B + det G(X) det G(X) (11) holds, where A, B, and G(X) are defined by (6), (9), and (7), respectively Equality is attained in (11) if λ ij x i x j 2 = (1 λ 0i ) x i 2 + λ 0 j x j 2 x i, x j for 1 i < j d Proof As already pointed out at the end of Section 1 the determinant of any skewsymmetric d d matrix B is non-negative and equals zero if d is odd Thus, the second part of (11) is trivial and instead of the first part we prove the slightly more general inequality det(b + G(X)) det B + det G(X) (12) By applying the well-known principal axis theorem to the non-negative definite Gram matrix G(X) we find an orthogonal d d matrix O (with det O = 1) such that D = O G(X) O is a diagonal matrix with non-negative diagonal elements The multiplication rule for determinantsenables us to replace G(X) by D and B by the skew-symmetric matrix

134 L Heinrich O BOwithout changing the inequality (12) Therefore it suffices to verify det(b + D) det B+det D only for diagonal matrices D with non-negative diagonal elements y 1,,y d and any skew-symmetric d d matrix B The Taylor expansion of the function leads to f (y 1,,y d ) = det(b + D) = y 1 b 12 b 1d b 12 y 2 b 2d b 1d b 2d y d d 2 f (y 1,,y d ) = det B + k=1 1 i 1 < <i k d y i1 y ik det B i1,,i k + y 1 y d, where the (d k) (d k) matrix B i1,,i k emerges from B by deleting the rows i 1,,i k and columns i 1,,i k Obviously, all these matrices are skew-symmetric which, together with y 1,,y d 0, implies f (y 1,,y d ) det B + y 1 y d = det B + det D Thus the inequality (11) is proved The proof of the lemma is complete by noting that A = A and (7) imply equality in (11) Remark The above proof turns out that the inequality (12) remains valid if G(X) is replaced by any other non-negative definite d d matrix Corollary If x 1,,x d V are linearly independent, then det A is positive which in turn implies the existence of the inverse A 1 for all real λ ij satisfying λ ij + λ ji = 1 for i, j = 0, 1,,d As a special case, (11) includes the well-known Hadamard inequality det G(X) x 1 2 x d 2 for any x 1,,x d V, which reads x 1 x d in R d The first part of the corollary follows from the well-known fact that det G(X) >0characterizes the linear independence of x 1,,x d V The second part follows by setting λ 01 = = λ 0d = 0andλ ij = x i 2 / x i x j 2 so that by (6) a ji = 0for1 i < j d In other words, A is an upper triangular matrix entailing det A = a 11 a dd 4 Concluding remarks 1 Formula (8) and the above theorem reveal that the Miquel point M of the simplex S(o, x 1,,x d ) wrt the marked points x ij = x i + λ ij (x j x i ) on the simplex edges can be represented as a linear combination of the edges x 1,,x d, x = i=1 u i x i = Xu with weight vector u = (u 1,, u d ) = A 1 x λ (13)

On the Miquel point of simplices 135 From (6) and (8) it is seen that the weights u 1,,u d depend only on the parameters λ ij and the squared edge lengths x i x j 2 for 0 i < j d (with x 0 = o ) For this reason the Miquel point can be defined in a meaningful way for any finite family of linearly independent elements of a Euclidean vector space V By (13) the Miquel points x i, i = 0, 1,,d, of those (d 1)-simplices having the d vertices x j, j = i, can be easily determined Geometrically spoken, x i is the point of intersection of the d Miquel spheres S j, j = i, with the hyperplane containing the (d 1)-face of the original simplex which x i does not belong to In this way a new d- simplex S(x 0, x 1,,x d ) arises and relations between it and the original one for given λ ij s could be of interest 2 Since the matrix A is invertible for any λ ij the point x is also well-defined for λ ij {0, 1} For special choices of the λ ij s we have interesting geometric intepretations, eg for d = 2, letting λ 01 1, λ 02 0, and λ 12 1 entails that each of the limiting Miquel circles touches one side of the triangle x 0 x 1 x 2 at a vertex and passes through the opposite vertex; the corresponding Miquel point turns into the Brocard point, see [1] By means of the Theorem in Section 2 several generalizations of this point to higher dimensions are possible In particular, for a tetrahedron S(o, x 1, x 2, x 3 ) in R 3 the choice λ 01 = λ 02 = λ 03 = λ 13 = 1andλ 12 = λ 23 = 0 (in the above setting) yields x as common point of the circumsphere S 0 and S 1 S 2 S 3, where eg S 1 is the unique sphere through x 3 touching the face triangle ox 1 x 2 at x 1,andS 2, S 3 are defined analogously 3 The vertices of a further d-simplex associated with S(o, x 1,,x d ) and the given λ ij s coincide with the midpoints x c i of the Miquel spheres S i, i = 0, 1,,d In Section 2 we have derived the following formulas: x c 0 = 1 2 (X ) 1 x λ and x c i = 1 2 (X ) 1 A e i + x c 0, i = 1,,d In the planar case simple geometric arguments show that the triangles x 0 x 1 x 2 and x c 0 xc 1 xc 2 are similar, cf eg [1] It is natural to ask whether the simplex S(xc 0, xc 1,,xc d ) and the original simplex are similar for any d 2 This fact can be expressedanalytically by an orthogonal matrix O and some scaling factor γ>0 by requiring x c i xc 0 = 1 2 (X ) 1 A e i = γ Ox i for i = 1,,d, where γ = 1 2 ( det A 2 ) 1/d In view of O = O 1 and (7) these relations are equivalent to G 1 (X) = 2 γ 2 ( A 1 + (A ) 1 ) This equality holds actually only for d = 2 without additional restrictions on the λ ij s 4 On the other hand, for any d 2, the particular choice λ ij = 1/2, 0 i < j d, yields the Miquel point x = 1 2 (X ) 1 ( x 1 2,, x d 2 ), which coincides with the circumcentre of the simplex S(o, x 1,,x d )

136 L Heinrich Acknowledgements I wish to thank Prof Dr H Martini (TU Chemnitz) who brought Konnully s paper [2] to my attention I am grateful to Dr L Muche for computer simulations concerning Miquel s theorem Many thanks also to Dr T Klein for his helpful comments on an earlier version of this paper and to stud math oec G Freudenreich who assisted me in the 3D visualization of Miquel s theorem References [1] Donath, E: Die merkwürdigen Punkte und Linien des ebenen Dreiecks VEB Deutscher Verlag der Wissenschaften, Berlin 1968 [2] Konnully, AO: Pivot theorems in n-space Beiträge Algebra Geom 10 (1980), 157 163 [3] Miquel, A: Mémoire de Géométrie, J Math Pures Appl de Liouville 1 (1838), 485 487 [4] Weisstein, EW: Miquel s Theorem http://mathworldwolframcom/miquelstheoremhtml Lothar Heinrich University of Augsburg Institute of Mathematics D 86135 Augsburg, Germany e-mail: heinrich@mathuni-augsburgde