On the Miquel point of simplices

Size: px
Start display at page:

Download "On the Miquel point of simplices"

Transcription

1 Elem. Math. 63 (2008) /08 Swiss Mathematical Society, 2008 I Elemente er Mathematik Lothar Heinrich Lothar Heinrich promovierte im Jahr 1980 an er Technischen Universität Dresen. Von war er Professor für Wahrscheinlichkeitstheorie un Statistik an er Technischen Universität Bergakaemie in Freiberg. Seit 1997 ist er Professor für Mathematik an er Universität Augsburg. Seine Forschungsinteressen liegen in er angewanten Wahrscheinlichkeitstheorie (stochastische Geometrie, große Abweichungen, Grenzwertsätze, räumliche Statistik, probabilistische Zahlentheorie). 1 Introuction an preliminaries If points are marke on each sie of a planar triangle, one on each sie (or on a sie's extension), then the three circles (each passing through a vertex an the marke points on the ajacent sies) are concurrent at a point M. This interesting fact was first prove an publishe by Augueste Miquel [3] in 1838, see also Weisstein [4] for further etails an extensions. This result is well-known in planar geometry as Miquel's theorem, an M is calle the Miquel point. However, much less known (even amongst geometers) is the following multiimensional generalization of Miquel's theorem: If one point is marke on each of the ( + I) /2 eges of a -simplex S(xo,Xl,...,xa) : {*o+ipi (xi-xo),lu,. l, t"i> 0,i - L,..., (l) l a t i:i i:7 Der Satz von Miquel ist ein klassisches Resultat er Elementargeometrie: Wir auf jeer Seite eines gegebenen Dreiecks oer eren Verlängerung ein Funkt beliebig festgelegt, un wir urch jeweils eine Ecke un ie beien markierten Punk;te auf en Nachbarseiten ein Kreis gezeichnet, so schneien sich iese rei Kreise in einem Punk;t. In er vorliegenen Arbeit wir mit einfachen Hilfsmitteln er linearen Algebra erstmals ein vollstitniger Beweis er Verallgemeinerung es Miquelschen Satzes auf -imensionale Simplizes angegeben: Wir auf en ( + l) /ZKanten je ein Punkt beliebig markiert, ann haben ie * 1 Kugeln, wovon jee urch je einen Eckpunkt un ie markierten Punkte auf en in iesen Eckpunkt einlaufenen Kanten festgelegt

2 r27 with positive volume an a sphere S; is rawn through each vertex x; an the points marke on the eges which meet in x;, then these + l spheres S;, i - 0, 1,...,, all meet in a point M which will also be calle Miquel's point in this note. By the best of the author's knowlege the only known proof of this result seems to be that given by Konnully t2l. Konnully's proof is base on the fact that there exists a common orthogonal sphere with respect to the so-calle Miquel spheres So, Sr S7 an it is shown that the raius of this sphere equals zero. However, such a sphere oes not always exist even in the planar case, namely if the unique point which has the same circle power w.r.t. three pairwise non-concentric circles lies in the interior of each of these circles. The aim of the present note is to provie a rigorous analytical proof which requires only simple facts from analytic geometry an linear algebra. As a by-prouctwe obtain a family of upper bouns of Gram's eterminant (incluing Haamar's inequality) which seems to be of interest in its own rieht. This auxiliarv result in Section 3 is vali in all Eucliean vector spaces. It shoul be mentione that an analogous construction with points marke on the ( - I)- faces (instea of on the eges) of the simplex oes in general not yiel a common point that belongs to all spheres. Let the points of the Eucliean space R be represente by column vectors x _ (u,..., x)t having the Eucliean nonn llxll - /E;S, where the scalar prouct (.,.) is efine by (y,z) : y'z : yi zl+... * ya za for y: (yr,...,!)' an z- (2t,...,2)l Furthermore, we recall the well-known fact froq analytic geometry that the circumsphere of the -simplex (1) consists of all points x IR. satisfying the equation llxll2 llxoll2 llxrll2 x X g x l llxa ll2 x 1-0, (2) where the left-han sie is for a ( * 2) x ( t 2) eterminant. Without loss of generality, we shall assume the vertex xs of the -simplex (1) to coincie withtheorigino:(0,...,0),antheverticesxi:(x1; linearly inepenent vectors, i.e. A::etXl0 (3) where X - (xr x6) enotes the quaratic matrix with columns Xl,..., X. For 0 < i < j <, let xil be a fixe point on the ege joining the vertices xi an x; being istinct from its en-points, i.e. vij : xi * l;j (x: - x;) for some )"ii 4 {0, 1}. For notationaleaseput Li; -I-)"ij forl < j anlii:l/2fori:0,i,...,.

3 t28 L. Heinrich In accorance with (2), the unique -sphere Ss passing through the origin o an the points X01,..., xg consists of all points x - (xr x)t e IR satisfying As(x) :- llxll2 o rfr,llxrll2 xf;ollxall2 xr 0 lorxrr Loaxu - 0. x 0 Lofiat Loa)c 1 I 1... Since 117:o Loi * 0, the latter equation is equivalento llxll2 lor llxr ll2 xt xn xl loa llxall2-0 (4) *o xr ": x Likewise, a point x : (xr x)t e IR belongs to the unique -sphere $ containing thevertexx;anthemarkepointsxgi,...,xi-t,i,xi,i+l,...,xiontheajacentegesif an onlv if fori-i,...,. llxll2 llxi ll2,r,fr, llxi ll2 llxi + r;; (xj- xi) ll2 xr xri )"oixtt xu I j - xu) a; (x):- - 0 *O *,a, ),Oirxai xai * X;1@A1 - xai) ffi By appealing to the well-known transformation rules for eterminants we obtain A;(x)-(),e;-1) llxll2 - x?r,llxillz (1* r.o;)llxill2 Äo; llxill2 llxi + l;;(xj - xi)ll2 x1 - )"six1; xfi 0 xu I Lij (xt j - xu) x -)"oixar *a, ö xai i Lij('xaj - xai) : (Äo; - r) II r,; i*i llxll2-1,fr, llxi ll2 cii ro; llxi ll2 cij x1 - )"gix1i xfi 0 x1j x -'Loixai *,a, ö x'j \/ j e {1,...,}\{l} je {1,...,}\{,}

4 where llxi + l;; (xj- xi) ll2 - llxi ll2 + (t + ro;) ll*ill2 )uij - lo; ll*ill2 + llxill2 -Lii llxl -x;ll2 for i, i =1,...,. The latter equality follows by using the ientity llu - vll2 - llull2 + llvll2-2 {a, v). Since cii : (1* ),0;) llxi ll2 we may simplify the previous eterminant by multiplying the secon column by Äo; an aing it to the first column. Consequently, in view of l";; {0, 1} for i + j, the equation A;(x) - 0 can be expresse as,,,,),,,,) llxll" + ^o; llxi ll- cit ci xt xn xh *o xt ": x Obviously, the set of points x lr satisfying both equations (4) an (5) coincies with the ( - l)-imensional sphere So n S;. By subtracting equation (4) from equation (5) an applying the summation law for eterminants iffering in only one row we obtain the linear equation t ^o; llxill- ' ) r r t cir - ^0l llxtll- ^ r t t ) ci - ^0llxll' t t ) xi xtl xi D; (x) :- - 0 *o xt ": x that hols for all x - (xr x)t IR belonging to the (uniquely etermine) hyperplane H; containing the ( - l)-sphere 56 n S,. Combining the equations D; (x) : 0, i -, yiels a system of linear equations whose solution (if it exists!) coincies with the point of intersection of the hyperplanes Hr,..., H. To fin this point we introuce the matrix Al : (o4)!,1:1with entries aii::cij -ro;llx;ll2:äo; llxill2+(1 -ro;) llx;ll2 _ Lii llxi-";112. (6) Letusfirstnotetheremarkablefactthat,inviewof Lij+Lii - lforl { j anlit -I/2, aij laji: llxill2 + llxjll2 - (xii tl1) llxi -x;ll2-2(x1,x;) for i, i :L,...,, which can be expresse concisely by I (o" + A1\ ) - G(x) :- ((xi, xi)!,i:t, where G(X) an et G(X) are calle Gram's matrix an Gram's eterminant, respectively, of the vectors Xl,..., X. In IR we have G(X) - X/X an thus et G(X) : L2. On the (7)

5 130 L. Heinrich other han, the relation (7) is meaningful in any real vector space V on which a symmetric, positive ef,nite, bilinear form (.,.) - briefly calle scalar prouct - is efine. Such vector spaces are usually calle Euclieanvector spaces. Proposition. For arbitrary linearly inepenent vectors Xt,..., X R an real numbers)";i,i, j :0, 1,...,, satisfuing)"ij*)"ii - Ian).ij f {0,I}fori, j :0, 1,...,, there exists auniquepointof intersection H1n... iha: x* : ("f,...,*ä),,whichis given by x*: XAnlxl with XÄ: (Äor llxrll2,...,lo llxall2),. (g) The first step in proving this result is to show that x - (\,..., x)t obeys the linear equations Di(x) -, 0 for i : I x1. This is left to the reaer as an exercise. To see the invertibility of the matrix An we use (7) an ecompose An as follows: Ar : Bn * G(X) with "n: (ln - n'n ) ) (e) Here the matrix Bn is skew-symmetric, i.e. Bl : -Bn. This skew-symmetry an the positive efiniteness of the Gram matrix G(X) show the quaratic form x/a1x - x/ G(X) x to be strictly positive for any x # o. This in turn implies An x # o for any x t' o, which is equivalent to etan I 0 for ali ),i1 satisfying Lij + Lii - 1. This combine with a simple continuity argument tells us that etan < 0 contraicts et G(X) ) 0, leaving.as the only possibility etal cvg(x)) > 0for anya > 0,entailingetBzr > 0bylettingcv + 0.HoweveretBn may take positive values only for even > 2 ue to the very efinition of skew-symmetry. Moreover, we shall boun etan uniformly from below by Gram's eterminant et G(X) in Section 3. Finally, note that the proposition oes not answer the question whether x* & hols for some or even ail i - 0, 1,...,. This will be the subiect of the next section. 2 The main result an its proof Theorem. Uner the conitions of the above proposition the point x* given in (8) belongs toeachof thespheres S;, i :0, 1,...,,thatis, x* is theuniquepointof intersection So f-l Sr n... f) Sa. In other wors, x* coincies with Miquel's point M of the simplex S(o, x1,..., xo) w.rt. the marke points xii: Xi * I;; (xj - xi) on its eges. Proof. After transposing an expaning the eterminant on the left-han sie of (4) along the first row we recognize that Ä9(x*) : 0 is equivalent to ll**ll2^-i "i j:1 xn lor llxr ll2 xr xr2 Lozllxzllz xz xr loa llxa ll2 x - 0. (10)

6 Miquel point M = (3.41,0.89, 1.54) xr = (3,6, 0) Fig. 1: Tetraheron,S(xg,x1,x2,x3)anthefourMiquelsphereswithcommonMiquel point M for ),61 : l/2, ),g2 - I/4, ),ß : 2/3, Lt2 : I/3, ),p : I/4, )'Y :2/3 Diviing by a t'. 0 the latter equation takes the form (X*, x* - zo) - components of zs - (zt za)' ut" given by 0, where the 1 zj:t xtl xt2 r.or llxr ll2 Lozllxzllz xl x2 for j:1,..., xt roa llxa ll2 x Applying Cramer's rule we see that z6 satisfies the linear equation X'zo _ xtr, i.e. (xi/llxill,zo) - Äo; llxill for i : I, sothatzs - (X,)-1 x,,". The geometric interpretation of the above relations reveals that the orthogonal projection of z6 onto the ege joining o an xi equals Xgi : Äo; xi for i : 1,...,. Furtherrnore, zg lies on the sphere Ss an, provie that x* So, the point zs/2 coincies with the centre of Ss by appealing to the converse of Thales' theorem. Hence, Ao(x*) : 0 hols if an only if (x*, x* - (x')-1xr,) : xi 1An1)'*' (*Ant - (x')-r ) *^ - xi crrx). : 0, where Cn :: (A;t)'X'XA;1 - (Ant),.

7 r32 L. Heinrich Fig. 2: Intersection of the tetraheron an the Miquel spheres in Fig. 1 with the plane z: parallel to the xy-plane Using (7) we fin that cn : I t,t;tl' (nn +n'n) lnt - (Ant)' :i (ant - (Ant)')- -air, z thus proving the skew-symmetry of the matrix Cn which is necessary an sufficient for the quaiatic f*- ti Crr x1 to isappear for any real.1"s1 )"sa anflr1l X1,..., x R, as we wishe to prove. ItremainstoshowthatA;(x*) -0fori - l,...,.forthiswetransposetheeterminant on the left-han sie of (5) an expan it along the first row leaing to the system of equations (llx* ll2 * Äo; llxi ll2) A - I j:i ti xtt cit xi x't ci x v j-th column In the next step we subtract equation (9) from the latter equation an ivie the ifference by A I 0. Finally, using the abbreviation (6) we arrive at the equation lo;llxillt : I j:l,j rti with wi1 l A xn ait xl ;I a'i xaa \./ j-th column, j:i,...,,

8 r33 which is equivalentto A;(x*) - 0 for eachi - 1,...,. Again, accoring to Cramer's rule the vector wi : (wn,..., tt)i)t sasfies the equation X/wi - (an,..., ai)',that is, we may write wi : (Xr)-t A'rr.t with ei - (0,..., 1 0)/ enoting the i-th column vector of the x ientity matrix. Hence, the above equations can be rewritten as Äo;llxillz: wi'x* -ei'anx-l x* for i-1,...,. However, these equations follow irectly from (8) an vice versa. Thus the proof of the Theorem is complete. I Note that the point Zi - wi* zl-xiwhich the orthogonality relation can be shown to belong to the sphere S; satisfies (x*-zi,x*-xi) -0 for i-1,..., This is easily verifie by straightforwar computations using the expressions of x*, wi, an zs given in the above proof. As a result, the sphere S; has the centre (zi + x) /2 - (wi + zü/2. 3 Bouns for eterminants In the subsequent lemma we establish a lower boun for the eterminant of An that is uniform in all the varying parameters )";y, 0 ( i < j <, an even positive provie the vectors Xl,..., x are linearly inepenent. Note that the below inequality (11) is vali for any (> 2) elements of an arbitrary Eucliean vector space. Lemma. Let V be a Eucliean vector space equippe with scalar prouct (.,.). For any Xl,...,X V ananyrealnumberslij,i, j :0,I,...,, satisfiing),i1 *L1i - lfor i, j :0, 1,...,, the inequality etan Z etbr * etc(x) > etc(x) (11) hols, where Al, B71, an G(X) are efine by (6), (9), an (7), respectively. Equality is attaine in (lt) if,1.;; llxi -*;ll2 - (1-ro;) llxillz +xo,;1x;ll2 - (x1,x;) fo, <i < j <. Proof. As alreay pointe out at the en of Section 1 the eterminant of any skewsymmetric x matrixbisnon-negativeanequals zerolf iso. Thus,theseconpart of (11) is trivial an instea of the first part we prove the slightly more general inequality et(b + G(X)) > etb * et G(X) (r2) By applying the well-known principal axis theorem to the non-negative efinite Gram matrix G(X) we fin an orthogonal x maftix O (with eto - 1) such that D - O'G(X) O is a iagonal matrix with non-negative iagonal elements. The multiplication rule for eterminants enables us to replace G(X) by D an B by the skew-symmetric matrix

9 134 L. Heinrich O'B O without changing the inequality (12). Therefore it suffices to verify et(b + D) > etb*etd only for iagonal matrices D with non-negative iagonal elements )l1,... z la an any skew-symmetric x matrix B. The Taylor expansion of the function f (yt,..., ya) - et(b + D) - lr bn bu -bn lz bza -bta -bza io leas to -2 f (Yr,...,Y) * etb + I lh'''!i* etbi1,...,ik k:l l<it<...<ip< * Yr ' ''Y, wherethe(-k)x(-k)matrixbir,...,iuemergesfrombbyeletingtherowsil,...,ik an columns i 1,..., ik.obviously, all these matrices are skew-symmetric which, together with y1,..., la > 0, implies f(yr,...,ya) > etb *yt"'l: etb*etd. Thus the inequality (11) is prove. The proof of the lemma is complete by noting that Al : A/n an (7) imply equality in (11). n Remark. The above proof turns out that the inequality (I2) remains vali if G(X) is replace by any other non-negative efinite x matrix. Corollary. If xt,..., X e V are linearly inepenent, then etal is positive which in turn implies the existence of the inverse Alr for all real )";1 satisfying ),ii * ).1i : I for i, j :0, 1,...,. As a special case, (II) inclues thewell-knownhaamarinequality etg(x) < llxr P..... llxall2 for any xr,..., x4 e V, whichreas lals llxrll... llxall in R. The first part of the corollary follows from the well-known fact that et G(X) > 0 characterizes the linear inepenence of xr,..., x V. The secon part follows by setting _ L1 :0an )rij : llxill2 /llxi-xjll2 sothatby(6) aji :0 for < i < j <. In other wors, Azr is an upper triangular matrix entailing etan - afi '... ' a. 4 Concluing remarks 1. Formula (8) an the above theorem reveal that the Miquel point M of the simplex S(o,x1,...,x)w.r.t.themarkepointsxij:xi*l;j(x:-xi)onthesimplex'egescan be represente as a linear combination of the eges Xl,..., X, **:I i:l uixi - Xu with weight vector a - (ut,..., ü)t - All xt (13)

10 135 From (6) an (8) it is seen that the weights ur,...,u4 epen only on the parameters )"ii anthesquareegelengthsllxi-x;ll2for0 < i < j < (withxo: o). For this reason the Miquel point can be efine in a meaningful way for any finite family of linearly inepenent elements of a Eucliean vector space V. By (13) the Miquel points *i,i - 0, I,...,, of those ( - l)-simplices having the vertices x:, i f i, can be easily etermine. Geometrically spoken,xi is the point of intersectionof themiquelspheres Sj, j t' i,withthehyperplanecontainingthe ( - l)-tace of the original simplex which x; oes not belong to. In this way a new - simplex S(xö,x{,...,*ä) arises an relations between it an the original one for given Ä;7's coul be of interest. 2. Since the matrix An is invertible for any )"ii the point x* is also well-efine for \ij e {0, 1}. For special choices of the,1.;y's we have interesting geometric intepretations, e.g. for:2,lettinglor + l,loz ) 0, an),p + l entailsthateachof thelimitingmiquel circles touches one sie of the triangle A x6x1x2 at a vertex an passes through the opposite vertex; the corresponing Miquel point turns into the Brocar point, see [1]. By means of the Theorem in Section 2 several generalizations of this point to higher imensions are possible. In particular, for a tetraheron S(o, xr,x2,x3) in IR3 the choice l0r : Loz : 103 : Ä13 : 1 an Ltz : \23 :0 (in the above setting) yiels x* as common point of the circumsphere 56 an 51 fl Sz fl 53, where e.g. Sr is the unique sphere through x3 touching the face triangle A ox1x2 atx1, an 52, 53 are eflne analogously. 3. The vertices of a further -simplex associate with,s(o, x1,..., xa) an the given,l.;;'s coinciewiththe mipointsxf of themiquel spheres S;, i :0, 1,...,.In Section 2 we have erive the followins formulas: *3: jtx')-t *, anxf -)r*'r-tan., **3, i : r,..., In the planar case simple geometric arguments show that the triangles A xsx1x2 an A xfixixi are similar, cf. e.g. [1]. It is natural to ask whether the simplex S(xfi, x!,..., *;) an the original simplex are similar for any > 2. This fact can be expresse analytically by an orthogonal matrix O an some scaling factor y > 0 by requiring *i -* lt*'l-tan., yox; for i - r,...,, where' 2 TetAn 1t7a \- ^r-l ln view of O/ - O-1 an (7) these relations are equivalento G-l(X) - 2y2 (n;t + (A'n)-t ). fnis equality hols actually only for. - 2 without aitional restrictions on the.1";;'s. 4. Onthe other han, for any > 2, the particular choice )"ij l/2, 0 < i < j <, yiels the Miquel point x* _ \.(x')-t (llxrll2,...,llxa;12;', which coincies with the circumcentre of the simplex,s(o, Xl,..., xa).

11 136 L. Heinrich Acknowlegements I wish to thank Prof. Dr. H. Martini (TU Chemnitz) who brought Konnully's paper l2l 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 an to stu. math. oec. G. Freuenreich who assiste me in the 3D visualization of Miquel's theorem. References [1] Donath, E.: Die merhuürigen Punkte un Linien es ebenen Dreiecks. VEB Deutscher Verlag er Wissenschaften, Berlin [2] Konnully, A.O.: Pivot theorems in n-space. Beitröge Algebra Geom. 10 (1980), [3] Miquel, A.: M6moire e G6om6trie, J. Math. Pures Appl. e Liouville 1 (1838), [4] Weisstein, E.W.: Miquel's Theorem. Lothar Heinrich University of Augsburg Institute of Mathematics D Augsburg, Germany he inri ch@math. uni - augsburg. e

On the Miquel point of simplices

On the Miquel point of simplices 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

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs Problem Sheet 2: Eigenvalues an eigenvectors an their use in solving linear ODEs If you fin any typos/errors in this problem sheet please email jk28@icacuk The material in this problem sheet is not examinable

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Diagonalization of Matrices Dr. E. Jacobs

Diagonalization of Matrices Dr. E. Jacobs Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is

More information

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Acute sets in Euclidean spaces

Acute sets in Euclidean spaces Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of

More information

6 General properties of an autonomous system of two first order ODE

6 General properties of an autonomous system of two first order ODE 6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x

More information

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k A Proof of Lemma 2 B Proof of Lemma 3 Proof: Since the support of LL istributions is R, two such istributions are equivalent absolutely continuous with respect to each other an the ivergence is well-efine

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. Uniqueness for solutions of ifferential equations. We consier the system of ifferential equations given by x = v( x), () t with a given initial conition

More information

Two formulas for the Euler ϕ-function

Two formulas for the Euler ϕ-function Two formulas for the Euler ϕ-function Robert Frieman A multiplication formula for ϕ(n) The first formula we want to prove is the following: Theorem 1. If n 1 an n 2 are relatively prime positive integers,

More information

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions Math 3 Winter 2 Avance Bounary Value Problems I Bessel s Equation an Bessel Functions Department of Mathematical an Statistical Sciences University of Alberta Bessel s Equation an Bessel Functions We use

More information

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2 International Journal of Pure an Applie Mathematics Volume 35 No. 3 007, 365-374 ON PYTHAGOREAN QUADRUPLES Eray Goins 1, Alain Togbé 1 Department of Mathematics Purue University 150 North University Street,

More information

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10 Some vector algebra an the generalize chain rule Ross Bannister Data Assimilation Research Centre University of Reaing UK Last upate 10/06/10 1. Introuction an notation As we shall see in these notes the

More information

REAL ANALYSIS I HOMEWORK 5

REAL ANALYSIS I HOMEWORK 5 REAL ANALYSIS I HOMEWORK 5 CİHAN BAHRAN The questions are from Stein an Shakarchi s text, Chapter 3. 1. Suppose ϕ is an integrable function on R with R ϕ(x)x = 1. Let K δ(x) = δ ϕ(x/δ), δ > 0. (a) Prove

More information

On the enumeration of partitions with summands in arithmetic progression

On the enumeration of partitions with summands in arithmetic progression AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 8 (003), Pages 149 159 On the enumeration of partitions with summans in arithmetic progression M. A. Nyblom C. Evans Department of Mathematics an Statistics

More information

Iterated Point-Line Configurations Grow Doubly-Exponentially

Iterated Point-Line Configurations Grow Doubly-Exponentially Iterate Point-Line Configurations Grow Doubly-Exponentially Joshua Cooper an Mark Walters July 9, 008 Abstract Begin with a set of four points in the real plane in general position. A to this collection

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

u!i = a T u = 0. Then S satisfies

u!i = a T u = 0. Then S satisfies Deterministic Conitions for Subspace Ientifiability from Incomplete Sampling Daniel L Pimentel-Alarcón, Nigel Boston, Robert D Nowak University of Wisconsin-Maison Abstract Consier an r-imensional subspace

More information

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS MARK SCHACHNER Abstract. When consiere as an algebraic space, the set of arithmetic functions equippe with the operations of pointwise aition an

More information

Applications of the Wronskian to ordinary linear differential equations

Applications of the Wronskian to ordinary linear differential equations Physics 116C Fall 2011 Applications of the Wronskian to orinary linear ifferential equations Consier a of n continuous functions y i (x) [i = 1,2,3,...,n], each of which is ifferentiable at least n times.

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

Permanent vs. Determinant

Permanent vs. Determinant Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an

More information

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische

More information

Some functions and their derivatives

Some functions and their derivatives Chapter Some functions an their erivatives. Derivative of x n for integer n Recall, from eqn (.6), for y = f (x), Also recall that, for integer n, Hence, if y = x n then y x = lim δx 0 (a + b) n = a n

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Linear Algebra- Review And Beyond. Lecture 3

Linear Algebra- Review And Beyond. Lecture 3 Linear Algebra- Review An Beyon Lecture 3 This lecture gives a wie range of materials relate to matrix. Matrix is the core of linear algebra, an it s useful in many other fiels. 1 Matrix Matrix is the

More information

Conservation Laws. Chapter Conservation of Energy

Conservation Laws. Chapter Conservation of Energy 20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action

More information

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk Notes on Lie Groups, Lie algebras, an the Exponentiation Map Mitchell Faulk 1. Preliminaries. In these notes, we concern ourselves with special objects calle matrix Lie groups an their corresponing Lie

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Calculus of Variations

Calculus of Variations Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,

More information

PDE Notes, Lecture #11

PDE Notes, Lecture #11 PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =

More information

INRADII OF SIMPLICES

INRADII OF SIMPLICES INRADII OF SIMPLICES ULRICH BETKE, MARTIN HENK, AND LYDIA TSINTSIFA Abstract. We stuy the following generalization of the inraius: For a convex boy K in the -imensional Eucliean space an a linear k-plane

More information

Unit vectors with non-negative inner products

Unit vectors with non-negative inner products Unit vectors with non-negative inner proucts Bos, A.; Seiel, J.J. Publishe: 01/01/1980 Document Version Publisher s PDF, also known as Version of Recor (inclues final page, issue an volume numbers) Please

More information

Pure Further Mathematics 1. Revision Notes

Pure Further Mathematics 1. Revision Notes Pure Further Mathematics Revision Notes June 20 2 FP JUNE 20 SDB Further Pure Complex Numbers... 3 Definitions an arithmetical operations... 3 Complex conjugate... 3 Properties... 3 Complex number plane,

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

arxiv: v2 [math.cv] 2 Mar 2018

arxiv: v2 [math.cv] 2 Mar 2018 The quaternionic Gauss-Lucas Theorem Riccaro Ghiloni Alessanro Perotti Department of Mathematics, University of Trento Via Sommarive 14, I-38123 Povo Trento, Italy riccaro.ghiloni@unitn.it, alessanro.perotti@unitn.it

More information

Solutions to Math 41 Second Exam November 4, 2010

Solutions to Math 41 Second Exam November 4, 2010 Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of

More information

The Sokhotski-Plemelj Formula

The Sokhotski-Plemelj Formula hysics 25 Winter 208 The Sokhotski-lemelj Formula. The Sokhotski-lemelj formula The Sokhotski-lemelj formula is a relation between the following generalize functions (also calle istributions), ±iǫ = iπ(),

More information

Lower bounds on Locality Sensitive Hashing

Lower bounds on Locality Sensitive Hashing Lower bouns on Locality Sensitive Hashing Rajeev Motwani Assaf Naor Rina Panigrahy Abstract Given a metric space (X, X ), c 1, r > 0, an p, q [0, 1], a istribution over mappings H : X N is calle a (r,

More information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH English NUMERICAL MATHEMATICS Vol14, No1 Series A Journal of Chinese Universities Feb 2005 TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH He Ming( Λ) Michael K Ng(Ξ ) Abstract We

More information

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread] Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states

More information

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix

More information

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition

More information

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations Characterizing Real-Value Multivariate Complex Polynomials an Their Symmetric Tensor Representations Bo JIANG Zhening LI Shuzhong ZHANG December 31, 2014 Abstract In this paper we stuy multivariate polynomial

More information

12.11 Laplace s Equation in Cylindrical and

12.11 Laplace s Equation in Cylindrical and SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering

More information

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1 Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics 309 (009) 86 869 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/isc Profile vectors in the lattice of subspaces Dániel Gerbner

More information

Optimal Variable-Structure Control Tracking of Spacecraft Maneuvers

Optimal Variable-Structure Control Tracking of Spacecraft Maneuvers Optimal Variable-Structure Control racking of Spacecraft Maneuvers John L. Crassiis 1 Srinivas R. Vaali F. Lanis Markley 3 Introuction In recent years, much effort has been evote to the close-loop esign

More information

1 Lecture 20: Implicit differentiation

1 Lecture 20: Implicit differentiation Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

Large Triangles in the d-dimensional Unit-Cube (Extended Abstract)

Large Triangles in the d-dimensional Unit-Cube (Extended Abstract) Large Triangles in the -Dimensional Unit-Cube Extene Abstract) Hanno Lefmann Fakultät für Informatik, TU Chemnitz, D-0907 Chemnitz, Germany lefmann@informatik.tu-chemnitz.e Abstract. We consier a variant

More information

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator Avances in Applie Mathematics, 9 47 999 Article ID aama.998.067, available online at http: www.iealibrary.com on Similar Operators an a Functional Calculus for the First-Orer Linear Differential Operator

More information

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS ARNAUD BODIN Abstract. We state a kin of Eucliian ivision theorem: given a polynomial P (x) an a ivisor of the egree of P, there exist polynomials h(x),

More information

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz A note on asymptotic formulae for one-imensional network flow problems Carlos F. Daganzo an Karen R. Smilowitz (to appear in Annals of Operations Research) Abstract This note evelops asymptotic formulae

More information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

Physics 251 Results for Matrix Exponentials Spring 2017

Physics 251 Results for Matrix Exponentials Spring 2017 Physics 25 Results for Matrix Exponentials Spring 27. Properties of the Matrix Exponential Let A be a real or complex n n matrix. The exponential of A is efine via its Taylor series, e A A n = I + n!,

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

The total derivative. Chapter Lagrangian and Eulerian approaches

The total derivative. Chapter Lagrangian and Eulerian approaches Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function

More information

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 5. Levi-Civita connection From now on we are intereste in connections on the tangent bunle T X of a Riemanninam manifol (X, g). Out main result will be a construction

More information

Year 11 Matrices Semester 2. Yuk

Year 11 Matrices Semester 2. Yuk Year 11 Matrices Semester 2 Chapter 5A input/output Yuk 1 Chapter 5B Gaussian Elimination an Systems of Linear Equations This is an extension of solving simultaneous equations. What oes a System of Linear

More information

arxiv: v4 [cs.ds] 7 Mar 2014

arxiv: v4 [cs.ds] 7 Mar 2014 Analysis of Agglomerative Clustering Marcel R. Ackermann Johannes Blömer Daniel Kuntze Christian Sohler arxiv:101.697v [cs.ds] 7 Mar 01 Abstract The iameter k-clustering problem is the problem of partitioning

More information

1 Math 285 Homework Problem List for S2016

1 Math 285 Homework Problem List for S2016 1 Math 85 Homework Problem List for S016 Note: solutions to Lawler Problems will appear after all of the Lecture Note Solutions. 1.1 Homework 1. Due Friay, April 8, 016 Look at from lecture note exercises:

More information

A Sketch of Menshikov s Theorem

A Sketch of Menshikov s Theorem A Sketch of Menshikov s Theorem Thomas Bao March 14, 2010 Abstract Let Λ be an infinite, locally finite oriente multi-graph with C Λ finite an strongly connecte, an let p

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

4.2 First Differentiation Rules; Leibniz Notation

4.2 First Differentiation Rules; Leibniz Notation .. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial

More information

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Determinant and Trace

Determinant and Trace Determinant an Trace Area an mappings from the plane to itself: Recall that in the last set of notes we foun a linear mapping to take the unit square S = {, y } to any parallelogram P with one corner at

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

Differentiation ( , 9.5)

Differentiation ( , 9.5) Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the

More information

Problem set 2: Solutions Math 207B, Winter 2016

Problem set 2: Solutions Math 207B, Winter 2016 Problem set : Solutions Math 07B, Winter 016 1. A particle of mass m with position x(t) at time t has potential energy V ( x) an kinetic energy T = 1 m x t. The action of the particle over times t t 1

More information

Tractability results for weighted Banach spaces of smooth functions

Tractability results for weighted Banach spaces of smooth functions Tractability results for weighte Banach spaces of smooth functions Markus Weimar Mathematisches Institut, Universität Jena Ernst-Abbe-Platz 2, 07740 Jena, Germany email: markus.weimar@uni-jena.e March

More information

1 Definition of the derivative

1 Definition of the derivative Math 20A - Calculus by Jon Rogawski Chapter 3 - Differentiation Prepare by Jason Gais Definition of the erivative Remark.. Recall our iscussion of tangent lines from way back. We now rephrase this in terms

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

A. Exclusive KL View of the MLE

A. Exclusive KL View of the MLE A. Exclusive KL View of the MLE Lets assume a change-of-variable moel p Z z on the ranom variable Z R m, such as the one use in Dinh et al. 2017: z 0 p 0 z 0 an z = ψz 0, where ψ is an invertible function

More information

The effect of dissipation on solutions of the complex KdV equation

The effect of dissipation on solutions of the complex KdV equation Mathematics an Computers in Simulation 69 (25) 589 599 The effect of issipation on solutions of the complex KV equation Jiahong Wu a,, Juan-Ming Yuan a,b a Department of Mathematics, Oklahoma State University,

More information

Interconnected Systems of Fliess Operators

Interconnected Systems of Fliess Operators Interconnecte Systems of Fliess Operators W. Steven Gray Yaqin Li Department of Electrical an Computer Engineering Ol Dominion University Norfolk, Virginia 23529 USA Abstract Given two analytic nonlinear

More information

Markov Chains in Continuous Time

Markov Chains in Continuous Time Chapter 23 Markov Chains in Continuous Time Previously we looke at Markov chains, where the transitions betweenstatesoccurreatspecifietime- steps. That it, we mae time (a continuous variable) avance in

More information

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Generalized Tractability for Multivariate Problems

Generalized Tractability for Multivariate Problems Generalize Tractability for Multivariate Problems Part II: Linear Tensor Prouct Problems, Linear Information, an Unrestricte Tractability Michael Gnewuch Department of Computer Science, University of Kiel,

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

MARTIN HENK AND MAKOTO TAGAMI

MARTIN HENK AND MAKOTO TAGAMI LOWER BOUNDS ON THE COEFFICIENTS OF EHRHART POLYNOMIALS MARTIN HENK AND MAKOTO TAGAMI Abstract. We present lower bouns for the coefficients of Ehrhart polynomials of convex lattice polytopes in terms of

More information

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1 We consier ifferential equations of the form y + a()y = b(), (1) y( 0 ) = y 0, where a() an b() are functions. Observe that this class of equations inclues equations

More information

February 21 Math 1190 sec. 63 Spring 2017

February 21 Math 1190 sec. 63 Spring 2017 February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

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

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. MATH 311-504 Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. Determinant is a scalar assigned to each square matrix. Notation. The determinant of a matrix A = (a ij

More information

4. Important theorems in quantum mechanics

4. Important theorems in quantum mechanics TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this

More information

Linear and quadratic approximation

Linear and quadratic approximation Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

The Chain Rule. d dx x(t) dx. dt (t)

The Chain Rule. d dx x(t) dx. dt (t) The Chain Rule The Problem You alreay routinely use the one imensional chain rule t f xt = f x xt x t t in oing computations like t sint2 = cost 2 2t In this example, fx = sinx an xt = t 2. We now generalize

More information