MATH 38061/MATH48061/MATH68061: MULTIVARIATE STATISTICS Solutions to Problems on Matrix Algebra

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "MATH 38061/MATH48061/MATH68061: MULTIVARIATE STATISTICS Solutions to Problems on Matrix Algebra"

Transcript

1 MATH 38061/MATH48061/MATH68061: MULTIVARIATE STATISTICS Solutios to Poblems o Matix Algeba 1 Let A be a squae diagoal matix takig the fom a a 22 0 A 0 0 a pp The ad So, log det A t log A t log A t p log det A log a ii log a ii log a ii log a log a log a pp 2 Let A be ay squae o-sigula matix By the spectal decompositio, we ca wite A λ i e i e T i So, ad p log det A log λ i log λ i t log A t log λ i e i e T i log λ i t e i e T i log λ i t e T i e i log λ i 1

2 Hece, log det A t log A 3 Suppose a ad x ae p 1 vectos By defiitio, a T x/ x 1 a T a T x/ x 2 x/ x a T x/ x p Sice a T x a k x k, k1 we have a T p x / x i k1 a k x k / x i a i fo i 1, 2,, p So, a T x/ x a 1, a 2,, a p T a 4 Suppose x is a p 1 vecto ad A a p p symmetic matix By defiitio, x T Ax/ x 1 x T x T Ax/ x 2 Ax/ x x T Ax/ x p Sice x T Ax k1 l1 a kl x k x l a kk x 2 k + k1 k,l1,k l a kl x k x l, we have p x T Ax / x i a kl x k x l / x i k1 l1 a kk x 2 k + a kl x k x l / x i k1 k,l1,k l 2a ii x i + a il x l + a li x l l1,l i l1,l i 2a ii x i + 2 a il x l l1,l i 2 a il x l l1 2

3 fo i 1, 2,, p So, x T Ax/ x 2 a 1l x l l1 2 a 2l x l l1 2 a pl x l l1 2 a 1l x l l1 a 2l x l l1 a pl x l l1 2Ax 5 Let be the covaiace matix about x a The i we have Sa 1 x i a x i a T Sa 1 x i x + x a x i x + x a T 1 x i x x i x T + x i x x a T + x a x i x T + x a x a T 1 x i x x i x T + x i x x a T + x a x i x T + x a x a T 1 1S x a x a T 1 S + x a x at ii usig equatio 56 i the otes, we have Sa 1 S + x a x at { } 1S/ 1 + x a T / 1S 1 x a iii we have mi Sa a 1S/ mi 1S/ a { with the miimum attaied whe a x } 1 + x a T / 1S 1 x a 3

4 iv we have so tacesa tace 1 S + tace x a x at 1 taces + x at x a, with the miimum attaied whe a x 6 Assume A 1 ad B 1 exist 7 Let mi tace a Sa 1/tS i The A T 1 A 1 T sice A T A T 1 A T A 1 T A 1 A T I T I ii The AB 1 B 1 A 1 sice ABAB 1 ABB 1 A 1 AIA 1 AA 1 I ad The D 2 s x x s T S 1 x x s, g s x x T S 1 x s x q s x T S 1 x s i we have D 2 s x T x T s S 1 x x s x T S 1 x + x T s S 1 x s x T S 1 x s x T s S 1 x x T S 1 x + x T s S 1 x s 2x T S 1 x s q + q ss 2q s ii we have g s x T x T S 1 x s x x T S 1 x s + x T S 1 x x T S 1 x x T s S 1 x q s + x T S 1 x x T S 1 x x T s S 1 x iii we have D 2 s x x + x x s T S 1 x x + x x s x x x s x T S 1 x x x s x x x T x s x T S 1 x x x s x x x T S 1 x x + x s x T S 1 x s x x x T S 1 x s x x s x T S 1 x x x x T S 1 x x + x s x T S 1 x s x 2 x x T S 1 x s x g + g ss 2g s 4

5 iv we have v we have g s x x T S 1 x s x T x x S 1 x s x 0 g x x T S 1 x x tace x x T S 1 x x tace S 1 x x x x T tace S 1 x x x x T tace S 1 1S 1taceI 1p vi we have Ds 2 g + g ss 2g s g + g ss 2 g s 1p + g ss + 0 1p + g ss vii we have Ds 2 s 1p + g ss s 1p + 1p 2 1p 8 Let X have the covaiace matix Σ The Σ 1 1/ /

6 The eigevalues of Σ ae 4, 9, 1 The coespodig eigevectos ae 1, 0, 0, 0, 1, 0, 0, 0, 1 The eigevalues of Σ 1 ae 1/4, 1/9, 1 The coespodig eigevectos ae the same as those fo Σ 9 A quadatic fom x T Ax is said to be positive-defiite if the matix A is positive-defiite Note that we ca wite 3x x 2 2 2x 1 x 2 x 1, x 2 A x 1, x 2 T, whee A The eigevalues of A ae 2, 4 So, A is positive defiite ad so is 3x x2 2 2x 1x 2 10 Fo a abitay p matix A we have A T A o-egative defiite sice x T A T Ax Ax T Ax y T y 0 fo all x, whee y Ax 11 Fist fid the eigevalues of A Note that A λi 13 λ λ λ λ 9 2 λ 18 So, the eigevalues of A ae 9, 18 Hece, the maximum ad miimum values of the atio x T Ax/x T x ae 18 ad 9, espectively 12 Usig equatio 25 i the otes, we have A PΛP 1 P 1 PΛ IΛ Λ λ 1 λ 2 λ p 13 A matix Q is othogoal if Q T Q I So, 1 I Q T Q Q Q Q 2, implyig that Q ±1 14 Suppose λ is a eigevalue of a k k positive defiite matix A The Ae λe fo some e So, 0 < e T Ae λe T e, implyig that λ must be geate tha zeo 15 To show that Σ 0 we fid its eigevalues Usig equatio 56 i the otes, we have Σ λi 1 α λi + α11 T 1 α λ p α I + 1 α λ 1 α 1 α λ 1T } 1 α λ {1 p α α + 1 α λ 1T 1 1 α λ } 1 α λ {1 p αp + 1 α λ 1 α λ p 1 1 α λ + αp The eigevalues λ 1 α, 1 α+αp These ae o-egative if ad oly if 1 α 1/p 1 To show that Σ 1 1 α 1 I α {1 + p 1α} 1 11 T 6

7 ote that ΣΣ 1 1 αi + α11 T 1 α 1 I α {1 + p 1α} 1 11 T 1 α 1 α1 α 1 αi 1 + p 1α 11T + α11 T α p 1α 11T 11 T 1 α 1 α1 α 1 αi 1 + p 1α 11T + α11 T α 2 p 1 + p 1α 11T { 1 α 1 1 α1 α αi p 1α + α α 2 } p 11 T 1 + p 1α 1 α 1 1 αi I 16 Let H I 1/J, whee J 11 T i The H T H ad H 2 H sice I 1/J T I T 1/J T I 1/ 11 T T I 1/11 T H ad I 1/J I 1/J I T 1/J 1/JI + 1/ 2 JJ I T 2/J + 1/ 2 11 T 11 T I T 2/J + 1/ 11 T I T 2/J + 1/ J I T 1/J ii The H1 0 ad HJ JH 0 sice H1 I 1/J 1 I1 1/J1 1 1/11 T ad JH J T H T HJ T 0 iii The Hx x x1 sice Hx I 1/J x Ix 1/Jx x 1/11 T x x x1 7

8 iv The x T Hx x i x 2 sice 17 Coside the covaiace matix: x T Hx x T I 1/J x Σ x T Ix 1/x T Jx x T Ix 1/x T 11 T x x 2 2 i 1/ x i x i x 2 σ 2 σ 2 ρ 0 σ 2 ρ σ 2 σ 2 ρ 0 σ 2 ρ σ 2 Its tace is σ 2 + σ 2 + σ 2 3σ 2 The detemiat is σ 2 σ 2 ρ 0 Σ σ 2 ρ σ 2 σ 2 ρ 0 σ 2 ρ σ 2 σ 6 1 ρ 2 σ 6 ρ 2 σ 6 1 2ρ 2 The ivese is Σ 1 1 σ 6 1 2ρ 2 1 σ 2 1 2ρ 2 σ 4 1 ρ 2 σ 4 ρ σ 4 ρ 2 σ 4 ρ σ 4 σ 4 ρ σ 4 ρ 2 σ 4 ρ σ 4 1 ρ 2 1 ρ 2 ρ ρ 2 ρ 1 ρ ρ 2 ρ 1 ρ 2 The eigevalues ae obtaied by solvig: σ 2 λ σ 2 ρ 0 σ 2 ρ σ 2 λ σ 2 ρ 0 0 σ 2 ρ σ 2 λ 2 σ 2 λ σ 2 λ 2σ 4 ρ 2 0 σ 2 λ σ 2 λ + 2σ 2 ρ σ 2 λ 2σ 2 ρ 0, so the eigevalues ae λ 1 σ 2, λ ρσ 2, λ 3 1 2ρσ 2 The eigevecto, say e T 1 x, y, z, coespodig to λ 1 σ 2 is obtaied by solvig: 0 σ 2 ρ 0 x 0 σ 2 ρ 0 σ 2 ρ y 0 0 σ 2 ρ 0 z 0 8

9 We have y 0 ad x + z 0, so e T 1 1, 0, 1 o et 1 1/ 2, 0, 1/ 2 i stadadized fom The eigevecto, say e T 2 x, y, z, coespodig to λ ρσ 2 is obtaied by solvig: 2σ 2 ρ σ 2 ρ 0 σ 2 ρ 2σ 2 ρ σ 2 ρ 0 σ 2 ρ 2σ 2 ρ x y z We have 2x + y 0, y 2z 0 ad x 2y + z 0, so e T 2 e T 2 1/2, 1/ 2, 1/2 i stadadized fom / 2, 1, 1/ 2 o The eigevecto, say e T 3 x, y, z, coespodig to λ 3 1 2ρσ 2 is obtaied by solvig: 2σ 2 ρ σ 2 ρ 0 x 0 σ 2 ρ 2σ 2 ρ σ 2 ρ y 0 0 σ 2 ρ 2σ 2 ρ z 0 We have 2x + y 0, y + 2z 0 ad x + 2y + z 0, so e T 3 e T 3 1/2, 1/ 2, 1/2 i stadadized fom 1/ 2, 1, 1/ 2 o 9

The Neutrix Product of the Distributions r. x λ

The Neutrix Product of the Distributions r. x λ ULLETIN u. Maaysia Math. Soc. Secod Seies 22 999 - of the MALAYSIAN MATHEMATICAL SOCIETY The Neuti Poduct of the Distibutios ad RIAN FISHER AND 2 FATMA AL-SIREHY Depatet of Matheatics ad Copute Sciece

Διαβάστε περισσότερα

L.K.Gupta (Mathematic Classes) www.pioeermathematics.com MOBILE: 985577, 4677 + {JEE Mai 04} Sept 0 Name: Batch (Day) Phoe No. IT IS NOT ENOUGH TO HAVE A GOOD MIND, THE MAIN THING IS TO USE IT WELL Marks:

Διαβάστε περισσότερα

1. For each of the following power series, find the interval of convergence and the radius of convergence:

1. For each of the following power series, find the interval of convergence and the radius of convergence: Math 6 Practice Problems Solutios Power Series ad Taylor Series 1. For each of the followig power series, fid the iterval of covergece ad the radius of covergece: (a ( 1 x Notice that = ( 1 +1 ( x +1.

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

Διαβάστε περισσότερα

physicsandmathstutor.com

physicsandmathstutor.com physicsadmathstuto.com physicsadmathstuto.com Jauay 009 blak 3. The ectagula hypebola, H, has paametic equatios x = 5t, y = 5 t, t 0. (a) Wite the catesia equatio of H i the fom xy = c. Poits A ad B o

Διαβάστε περισσότερα

1. Matrix Algebra and Linear Economic Models

1. Matrix Algebra and Linear Economic Models Matrix Algebra ad Liear Ecoomic Models Refereces Ch 3 (Turkigto); Ch 4 5 (Klei) [] Motivatio Oe market equilibrium Model Assume perfectly competitive market: Both buyers ad sellers are price-takers Demad:

Διαβάστε περισσότερα

IIT JEE (2013) (Trigonomtery 1) Solutions

IIT JEE (2013) (Trigonomtery 1) Solutions L.K. Gupta (Mathematic Classes) www.pioeermathematics.com MOBILE: 985577, 677 (+) PAPER B IIT JEE (0) (Trigoomtery ) Solutios TOWARDS IIT JEE IS NOT A JOURNEY, IT S A BATTLE, ONLY THE TOUGHEST WILL SURVIVE

Διαβάστε περισσότερα

Matrix Hartree-Fock Equations for a Closed Shell System

Matrix Hartree-Fock Equations for a Closed Shell System atix Hatee-Fock Equations fo a Closed Shell System A single deteminant wavefunction fo a system containing an even numbe of electon N) consists of N/ spatial obitals, each occupied with an α & β spin has

Διαβάστε περισσότερα

Homework for 1/27 Due 2/5

Homework for 1/27 Due 2/5 Name: ID: Homework for /7 Due /5. [ 8-3] I Example D of Sectio 8.4, the pdf of the populatio distributio is + αx x f(x α) =, α, otherwise ad the method of momets estimate was foud to be ˆα = 3X (where

Διαβάστε περισσότερα

Last Lecture. Biostatistics Statistical Inference Lecture 19 Likelihood Ratio Test. Example of Hypothesis Testing.

Last Lecture. Biostatistics Statistical Inference Lecture 19 Likelihood Ratio Test. Example of Hypothesis Testing. Last Lecture Biostatistics 602 - Statistical Iferece Lecture 19 Likelihood Ratio Test Hyu Mi Kag March 26th, 2013 Describe the followig cocepts i your ow words Hypothesis Null Hypothesis Alterative Hypothesis

Διαβάστε περισσότερα

A study on generalized absolute summability factors for a triangular matrix

A study on generalized absolute summability factors for a triangular matrix Proceedigs of the Estoia Acadey of Scieces, 20, 60, 2, 5 20 doi: 0.376/proc.20.2.06 Available olie at www.eap.ee/proceedigs A study o geeralized absolute suability factors for a triagular atrix Ere Savaş

Διαβάστε περισσότερα

Ψηφιακή Επεξεργασία Εικόνας

Ψηφιακή Επεξεργασία Εικόνας ΠΑΝΕΠΙΣΤΗΜΙΟ ΙΩΑΝΝΙΝΩΝ ΑΝΟΙΚΤΑ ΑΚΑΔΗΜΑΪΚΑ ΜΑΘΗΜΑΤΑ Ψηφιακή Επεξεργασία Εικόνας Φιλτράρισμα στο πεδίο των συχνοτήτων Διδάσκων : Αναπληρωτής Καθηγητής Νίκου Χριστόφορος Άδειες Χρήσης Το παρόν εκπαιδευτικό

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Degenerate Perturbation Theory

Degenerate Perturbation Theory R.G. Griffi BioNMR School page 1 Degeerate Perturbatio Theory 1.1 Geeral Whe cosiderig the CROSS EFFECT it is ecessary to deal with degeerate eergy levels ad therefore degeerate perturbatio theory. The

Διαβάστε περισσότερα

e t e r Cylindrical and Spherical Coordinate Representation of grad, div, curl and 2

e t e r Cylindrical and Spherical Coordinate Representation of grad, div, curl and 2 Cylindical and Spheical Coodinate Repesentation of gad, div, cul and 2 Thus fa, we have descibed an abitay vecto in F as a linea combination of i, j and k, which ae unit vectos in the diection of inceasin,

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

Homework 4.1 Solutions Math 5110/6830

Homework 4.1 Solutions Math 5110/6830 Homework 4. Solutios Math 5/683. a) For p + = αp γ α)p γ α)p + γ b) Let Equilibria poits satisfy: p = p = OR = γ α)p ) γ α)p + γ = α γ α)p ) γ α)p + γ α = p ) p + = p ) = The, we have equilibria poits

Διαβάστε περισσότερα

α β

α β 6. Eerg, Mometum coefficiets for differet velocit distributios Rehbock obtaied ) For Liear Velocit Distributio α + ε Vmax { } Vmax ε β +, i which ε v V o Give: α + ε > ε ( α ) Liear velocit distributio

Διαβάστε περισσότερα

The ε-pseudospectrum of a Matrix

The ε-pseudospectrum of a Matrix The ε-pseudospectrum of a Matrix Feb 16, 2015 () The ε-pseudospectrum of a Matrix Feb 16, 2015 1 / 18 1 Preliminaries 2 Definitions 3 Basic Properties 4 Computation of Pseudospectrum of 2 2 5 Problems

Διαβάστε περισσότερα

) 2. δ δ. β β. β β β β. r k k. tll. m n Λ + +

) 2. δ δ. β β. β β β β. r k k. tll. m n Λ + + Techical Appedix o Hamig eposis ad Helpig Bowes: The ispaae Impac of Ba Cosolidaio (o o be published bu o be made available upo eques. eails of Poofs of Poposiios 1 ad To deive Poposiio 1 s exac ad sufficie

Διαβάστε περισσότερα

Tutorial Note - Week 09 - Solution

Tutorial Note - Week 09 - Solution Tutoial Note - Week 9 - Solution ouble Integals in Pola Coodinates. a Since + and + 5 ae cicles centeed at oigin with adius and 5, then {,θ 5, θ π } Figue. f, f cos θ, sin θ cos θ sin θ sin θ da 5 69 5

Διαβάστε περισσότερα

Analytical Expression for Hessian

Analytical Expression for Hessian Analytical Expession fo Hessian We deive the expession of Hessian fo a binay potential the coesponding expessions wee deived in [] fo a multibody potential. In what follows, we use the convention that

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits. EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

SUPERPOSITION, MEASUREMENT, NORMALIZATION, EXPECTATION VALUES. Reading: QM course packet Ch 5 up to 5.6

SUPERPOSITION, MEASUREMENT, NORMALIZATION, EXPECTATION VALUES. Reading: QM course packet Ch 5 up to 5.6 SUPERPOSITION, MEASUREMENT, NORMALIZATION, EXPECTATION VALUES Readig: QM course packet Ch 5 up to 5. 1 ϕ (x) = E = π m( a) =1,,3,4,5 for xa (x) = πx si L L * = πx L si L.5 ϕ' -.5 z 1 (x) = L si

Διαβάστε περισσότερα

FREE VIBRATION OF A SINGLE-DEGREE-OF-FREEDOM SYSTEM Revision B

FREE VIBRATION OF A SINGLE-DEGREE-OF-FREEDOM SYSTEM Revision B FREE VIBRATION OF A SINGLE-DEGREE-OF-FREEDOM SYSTEM Revisio B By Tom Irvie Email: tomirvie@aol.com February, 005 Derivatio of the Equatio of Motio Cosier a sigle-egree-of-freeom system. m x k c where m

Διαβάστε περισσότερα

(a,b) Let s review the general definitions of trig functions first. (See back cover of your book) sin θ = b/r cos θ = a/r tan θ = b/a, a 0

(a,b) Let s review the general definitions of trig functions first. (See back cover of your book) sin θ = b/r cos θ = a/r tan θ = b/a, a 0 TRIGONOMETRIC IDENTITIES (a,b) Let s eview the geneal definitions of tig functions fist. (See back cove of you book) θ b/ θ a/ tan θ b/a, a 0 θ csc θ /b, b 0 sec θ /a, a 0 cot θ a/b, b 0 By doing some

Διαβάστε περισσότερα

CHAPTER-III HYPERBOLIC HSU-STRUCTURE METRIC MANIFOLD. Estelar

CHAPTER-III HYPERBOLIC HSU-STRUCTURE METRIC MANIFOLD. Estelar CHAPE-III HPEBOLIC HSU-SUCUE MEIC MANIOLD I this chpte I hve obtied itebility coditios fo hypebolic Hsustuctue metic mifold. Pseudo Pojective d Pseudo H-Pojective cuvtue tesos hve bee defied i this mifold.

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max

Διαβάστε περισσότερα

Trigonometry 1.TRIGONOMETRIC RATIOS

Trigonometry 1.TRIGONOMETRIC RATIOS Trigonometry.TRIGONOMETRIC RATIOS. If a ray OP makes an angle with the positive direction of X-axis then y x i) Sin ii) cos r r iii) tan x y (x 0) iv) cot y x (y 0) y P v) sec x r (x 0) vi) cosec y r (y

Διαβάστε περισσότερα

Space Physics (I) [AP-3044] Lecture 1 by Ling-Hsiao Lyu Oct Lecture 1. Dipole Magnetic Field and Equations of Magnetic Field Lines

Space Physics (I) [AP-3044] Lecture 1 by Ling-Hsiao Lyu Oct Lecture 1. Dipole Magnetic Field and Equations of Magnetic Field Lines Space Physics (I) [AP-344] Lectue by Ling-Hsiao Lyu Oct. 2 Lectue. Dipole Magnetic Field and Equations of Magnetic Field Lines.. Dipole Magnetic Field Since = we can define = A (.) whee A is called the

Διαβάστε περισσότερα

The Heisenberg Uncertainty Principle

The Heisenberg Uncertainty Principle Chemistry 460 Sprig 015 Dr. Jea M. Stadard March, 015 The Heiseberg Ucertaity Priciple A policema pulls Werer Heiseberg over o the Autobah for speedig. Policema: Sir, do you kow how fast you were goig?

Διαβάστε περισσότερα

CHAPTER 103 EVEN AND ODD FUNCTIONS AND HALF-RANGE FOURIER SERIES

CHAPTER 103 EVEN AND ODD FUNCTIONS AND HALF-RANGE FOURIER SERIES CHAPTER 3 EVEN AND ODD FUNCTIONS AND HALF-RANGE FOURIER SERIES EXERCISE 364 Page 76. Determie the Fourier series for the fuctio defied by: f(x), x, x, x which is periodic outside of this rage of period.

Διαβάστε περισσότερα

Bessel function for complex variable

Bessel function for complex variable Besse fuctio for compex variabe Kauhito Miuyama May 4, 7 Besse fuctio The Besse fuctio Z ν () is the fuctio wich satisfies + ) ( + ν Z ν () =. () Three kids of the soutios of this equatio are give by {

Διαβάστε περισσότερα

[ ] ( l) ( ) Option 2. Option 3. Option 4. Correct Answer 1. Explanation n. Q. No to n terms = ( 10-1 ) 3

[ ] ( l) ( ) Option 2. Option 3. Option 4. Correct Answer 1. Explanation n. Q. No to n terms = ( 10-1 ) 3 Q. No. The fist d lst tem of A. P. e d l espetively. If s be the sum of ll tems of the A. P., the ommo diffeee is Optio l - s- l+ Optio Optio Optio 4 Coet Aswe ( ) l - s- - ( l ) l + s+ + ( l ) l + s-

Διαβάστε περισσότερα

List MF19. List of formulae and statistical tables. Cambridge International AS & A Level Mathematics (9709) and Further Mathematics (9231)

List MF19. List of formulae and statistical tables. Cambridge International AS & A Level Mathematics (9709) and Further Mathematics (9231) List MF9 List of fomulae ad statistical tables Cambidge Iteatioal AS & A Level Mathematics (9709) ad Futhe Mathematics (93) Fo use fom 00 i all papes fo the above syllabuses. CST39 *50870970* PURE MATHEMATICS

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

Edexcel FP3. Hyperbolic Functions. PhysicsAndMathsTutor.com

Edexcel FP3. Hyperbolic Functions. PhysicsAndMathsTutor.com Eecel FP Hpeolic Fuctios PhsicsAMthsTuto.com . Solve the equtio Leve lk 7sech th 5 Give ou swes i the fom l whee is tiol ume. 5 7 Sih 5 Cosh cosh c 7 Sih 5cosh's 7 Ece e I E e e 4 e te 5e 55 O 5e 55 te

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

Fourier Series. constant. The ;east value of T>0 is called the period of f(x). f(x) is well defined and single valued periodic function

Fourier Series. constant. The ;east value of T>0 is called the period of f(x). f(x) is well defined and single valued periodic function Fourier Series Periodic uctio A uctio is sid to hve period T i, T where T is ve costt. The ;est vlue o T> is clled the period o. Eg:- Cosider we kow tht, si si si si si... Etc > si hs the periods,,6,..

Διαβάστε περισσότερα

4. ELECTROCHEMISTRY - II

4. ELECTROCHEMISTRY - II 4. ELETROHEMISTRY - II Molar coductace, Equivalet coductace, cell cetat ad Kohlraush Law :. Give : l 0.98 cm a.3 cm cell cost. cell cost. a l cell cost. a l 0.98.3 0.7538 cm As : ell costat for the cell

Διαβάστε περισσότερα

Laplace s Equation in Spherical Polar Coördinates

Laplace s Equation in Spherical Polar Coördinates Laplace s Equation in Spheical Pola Coödinates C. W. David Dated: Januay 3, 001 We stat with the pimitive definitions I. x = sin θ cos φ y = sin θ sin φ z = cos θ thei inveses = x y z θ = cos 1 z = z cos1

Διαβάστε περισσότερα

n r f ( n-r ) () x g () r () x (1.1) = Σ g() x = Σ n f < -n+ r> g () r -n + r dx r dx n + ( -n,m) dx -n n+1 1 -n -1 + ( -n,n+1)

n r f ( n-r ) () x g () r () x (1.1) = Σ g() x = Σ n f < -n+ r> g () r -n + r dx r dx n + ( -n,m) dx -n n+1 1 -n -1 + ( -n,n+1) 8 Higher Derivative of the Product of Two Fuctios 8. Leibiz Rule about the Higher Order Differetiatio Theorem 8.. (Leibiz) Whe fuctios f ad g f g are times differetiable, the followig epressio holds. r

Διαβάστε περισσότερα

Solve the difference equation

Solve the difference equation Solve the differece equatio Solutio: y + 3 3y + + y 0 give tat y 0 4, y 0 ad y 8. Let Z{y()} F() Taig Z-trasform o both sides i (), we get y + 3 3y + + y 0 () Z y + 3 3y + + y Z 0 Z y + 3 3Z y + + Z y

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

Lecture 17: Minimum Variance Unbiased (MVUB) Estimators

Lecture 17: Minimum Variance Unbiased (MVUB) Estimators ECE 830 Fall 2011 Statistical Sigal Processig istructor: R. Nowak, scribe: Iseok Heo Lecture 17: Miimum Variace Ubiased (MVUB Estimators Ultimately, we would like to be able to argue that a give estimator

Διαβάστε περισσότερα

Identities of Generalized Fibonacci-Like Sequence

Identities of Generalized Fibonacci-Like Sequence Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol., No. 5, 7-75 Available olie at http://pubs.sciepub.com/tjat//5/ Sciece ad Educatio Publishig DOI:.69/tjat--5- Idetities of Geealized Fiboacci-Lie Sequece

Διαβάστε περισσότερα

Differential Equations (Mathematics)

Differential Equations (Mathematics) H I SHIVAJI UNIVERSITY, KOLHAPUR CENTRE FOR DISTANCE EDUCATION Diffeetial Equatios (Mathematics) Fo K M. Sc. Pat-I J Copyight Pescibed fo Regista, Shivaji Uivesity, Kolhapu. (Mahaashta) Fist Editio 8 Secod

Διαβάστε περισσότερα

Srednicki Chapter 55

Srednicki Chapter 55 Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third

Διαβάστε περισσότερα

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

Διαβάστε περισσότερα

Example 1: THE ELECTRIC DIPOLE

Example 1: THE ELECTRIC DIPOLE Example 1: THE ELECTRIC DIPOLE 1 The Electic Dipole: z + P + θ d _ Φ = Q 4πε + Q = Q 4πε 4πε 1 + 1 2 The Electic Dipole: d + _ z + Law of Cosines: θ A B α C A 2 = B 2 + C 2 2ABcosα P ± = 2 ( + d ) 2 2

Διαβάστε περισσότερα

Στα επόμενα θεωρούμε ότι όλα συμβαίνουν σε ένα χώρο πιθανότητας ( Ω,,P) Modes of convergence: Οι τρόποι σύγκλισης μιας ακολουθίας τ.μ.

Στα επόμενα θεωρούμε ότι όλα συμβαίνουν σε ένα χώρο πιθανότητας ( Ω,,P) Modes of convergence: Οι τρόποι σύγκλισης μιας ακολουθίας τ.μ. Στα πόμνα θωρούμ ότι όλα συμβαίνουν σ ένα χώρο πιθανότητας ( Ω,,). Modes of covergece: Οι τρόποι σύγκλισης μιας ακολουθίας τ.μ. { } ίναι οι ξής: σ μια τ.μ.. Ισχυρή σύγκλιση strog covergece { } lim = =.

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

Μια εισαγωγή στα Μαθηματικά για Οικονομολόγους

Μια εισαγωγή στα Μαθηματικά για Οικονομολόγους Μια εισαγωγή στα Μαθηματικά για Οικονομολόγους Μαθηματικά Ικανές και αναγκαίες συνθήκες Έστω δυο προτάσεις Α και Β «Α είναι αναγκαία συνθήκη για την Β» «Α είναι ικανή συνθήκη για την Β» Α is ecessary for

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Lecture 22: Coherent States

Lecture 22: Coherent States Leture : Coheret States Phy851 Fall 9 Summary memorize Properties of the QM SHO: A 1 A + 1 + 1 ψ (x) ψ (x) H P + m 1 X λ A + i P λ h H hω( +1/ ) [ π!λ] 1/ H x /λ 1 mω λ h ( A A ) P i ( A A ) X + H x λ

Διαβάστε περισσότερα

Answers - Worksheet A ALGEBRA PMT. 1 a = 7 b = 11 c = 1 3. e = 0.1 f = 0.3 g = 2 h = 10 i = 3 j = d = k = 3 1. = 1 or 0.5 l =

Answers - Worksheet A ALGEBRA PMT. 1 a = 7 b = 11 c = 1 3. e = 0.1 f = 0.3 g = 2 h = 10 i = 3 j = d = k = 3 1. = 1 or 0.5 l = C ALGEBRA Answers - Worksheet A a 7 b c d e 0. f 0. g h 0 i j k 6 8 or 0. l or 8 a 7 b 0 c 7 d 6 e f g 6 h 8 8 i 6 j k 6 l a 9 b c d 9 7 e 00 0 f 8 9 a b 7 7 c 6 d 9 e 6 6 f 6 8 g 9 h 0 0 i j 6 7 7 k 9

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 We know that KA = A If A is n th Order 3AB =3 3 A. B = 27 1 3 = 81 3 2. If A= 2 1 0 0 2 1 then

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

On Quasi - f -Power Increasing Sequences

On Quasi - f -Power Increasing Sequences Ieaioal Maheaical Fou Vol 8 203 o 8 377-386 Quasi - f -owe Iceasig Sequeces Maheda Misa G Deae of Maheaics NC College (Auooous) Jaju disha Mahedaisa2007@gailco B adhy Rolad Isiue of echoy Golahaa-76008

Διαβάστε περισσότερα

Γιάννης Σαριδάκης Σχολή Μ.Π.Δ., Πολυτεχνείο Κρήτης

Γιάννης Σαριδάκης Σχολή Μ.Π.Δ., Πολυτεχνείο Κρήτης 2 η Διάλεξη Ακολουθίες 29 Νοεµβρίου 206 Γιάννης Σαριδάκης Σχολή Μ.Π.Δ., Πολυτεχνείο Κρήτης ΑΠΕΙΡΟΣΤΙΚΟΣ ΛΟΓΙΣΜΟΣ, ΤΟΜΟΣ Ι - Fiey R.L. / Weir M.D. / Giordao F.R. Πανεπιστημιακές Εκδόσεις Κρήτης 2 Όρια Ακολουθιών

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

On Generating Relations of Some Triple. Hypergeometric Functions

On Generating Relations of Some Triple. Hypergeometric Functions It. Joural of Math. Aalysis, Vol. 5,, o., 5 - O Geeratig Relatios of Some Triple Hypergeometric Fuctios Fadhle B. F. Mohse ad Gamal A. Qashash Departmet of Mathematics, Faculty of Educatio Zigibar Ade

Διαβάστε περισσότερα

On Certain Subclass of λ-bazilevič Functions of Type α + iµ

On Certain Subclass of λ-bazilevič Functions of Type α + iµ Tamsui Oxford Joural of Mathematical Scieces 23(2 (27 141-153 Aletheia Uiversity O Certai Subclass of λ-bailevič Fuctios of Type α + iµ Zhi-Gag Wag, Chu-Yi Gao, ad Shao-Mou Yua College of Mathematics ad

Διαβάστε περισσότερα

Binet Type Formula For The Sequence of Tetranacci Numbers by Alternate Methods

Binet Type Formula For The Sequence of Tetranacci Numbers by Alternate Methods DOI: 545/mjis764 Biet Type Formula For The Sequece of Tetraacci Numbers by Alterate Methods GAUTAMS HATHIWALA AND DEVBHADRA V SHAH CK Pithawala College of Eigeerig & Techology, Surat Departmet of Mathematics,

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Quadratic Expressions

Quadratic Expressions Quadratic Expressions. The standard form of a quadratic equation is ax + bx + c = 0 where a, b, c R and a 0. The roots of ax + bx + c = 0 are b ± b a 4ac. 3. For the equation ax +bx+c = 0, sum of the roots

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

George S. A. Shaker ECE477 Understanding Reflections in Media. Reflection in Media

George S. A. Shaker ECE477 Understanding Reflections in Media. Reflection in Media Geoge S. A. Shake C477 Udesadg Reflecos Meda Refleco Meda Ths hadou ages a smplfed appoach o udesad eflecos meda. As a sude C477, you ae o equed o kow hese seps by hea. I s jus o make you udesad how some

Διαβάστε περισσότερα

Example of the Baum-Welch Algorithm

Example of the Baum-Welch Algorithm Example of the Baum-Welch Algorithm Larry Moss Q520, Spring 2008 1 Our corpus c We start with a very simple corpus. We take the set Y of unanalyzed words to be {ABBA, BAB}, and c to be given by c(abba)

Διαβάστε περισσότερα

Παραμετρικές εξισώσεις καμπύλων. ΗΥ111 Απειροστικός Λογισμός ΙΙ

Παραμετρικές εξισώσεις καμπύλων. ΗΥ111 Απειροστικός Λογισμός ΙΙ ΗΥ-111 Απειροστικός Λογισμός ΙΙ Παραμετρικές εξισώσεις καμπύλων Παραδείγματα ct (): U t ( x ( t), x ( t)) 1 ct (): U t ( x ( t), x ( t), x ( t)) 3 1 3 Θέσης χρόνου ταχύτητας χρόνου Χαρακτηριστικού-χρόνου

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

Oscillating dipole system Suppose we have two small spheres separated by a distance s. The charge on one sphere changes with time and is described by

Oscillating dipole system Suppose we have two small spheres separated by a distance s. The charge on one sphere changes with time and is described by 5 Radiation (Chapte 11) 5.1 Electic dipole adiation Oscillating dipole system Suppose we have two small sphees sepaated by a distance s. The chage on one sphee changes with time and is descibed by q(t)

Διαβάστε περισσότερα

Curvilinear Systems of Coordinates

Curvilinear Systems of Coordinates A Cuvilinea Systems of Coodinates A.1 Geneal Fomulas Given a nonlinea tansfomation between Catesian coodinates x i, i 1,..., 3 and geneal cuvilinea coodinates u j, j 1,..., 3, x i x i (u j ), we intoduce

Διαβάστε περισσότερα

Multi-dimensional Central Limit Theorem

Multi-dimensional Central Limit Theorem Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme

Διαβάστε περισσότερα

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia 23187-8795

Διαβάστε περισσότερα

Biorthogonal Wavelets and Filter Banks via PFFS. Multiresolution Analysis (MRA) subspaces V j, and wavelet subspaces W j. f X n f, τ n φ τ n φ.

Biorthogonal Wavelets and Filter Banks via PFFS. Multiresolution Analysis (MRA) subspaces V j, and wavelet subspaces W j. f X n f, τ n φ τ n φ. Chapter 3. Biorthogoal Wavelets ad Filter Baks via PFFS 3.0 PFFS applied to shift-ivariat subspaces Defiitio: X is a shift-ivariat subspace if h X h( ) τ h X. Ex: Multiresolutio Aalysis (MRA) subspaces

Διαβάστε περισσότερα

Presentation of complex number in Cartesian and polar coordinate system

Presentation of complex number in Cartesian and polar coordinate system 1 a + bi, aεr, bεr i = 1 z = a + bi a = Re(z), b = Im(z) give z = a + bi & w = c + di, a + bi = c + di a = c & b = d The complex cojugate of z = a + bi is z = a bi The sum of complex cojugates is real:

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

Local Approximation with Kernels

Local Approximation with Kernels Local Approximation with Kernels Thomas Hangelbroek University of Hawaii at Manoa 5th International Conference Approximation Theory, 26 work supported by: NSF DMS-43726 A cubic spline example Consider

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

12. Radon-Nikodym Theorem

12. Radon-Nikodym Theorem Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

Διαβάστε περισσότερα

ANTENNAS and WAVE PROPAGATION. Solution Manual

ANTENNAS and WAVE PROPAGATION. Solution Manual ANTENNAS and WAVE PROPAGATION Solution Manual A.R. Haish and M. Sachidananda Depatment of Electical Engineeing Indian Institute of Technolog Kanpu Kanpu - 208 06, India OXFORD UNIVERSITY PRESS 2 Contents

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Introduction of Numerical Analysis #03 TAGAMI, Daisuke (IMI, Kyushu University)

Introduction of Numerical Analysis #03 TAGAMI, Daisuke (IMI, Kyushu University) Itroductio of Numerical Aalysis #03 TAGAMI, Daisuke (IMI, Kyushu Uiversity) web page of the lecture: http://www2.imi.kyushu-u.ac.jp/~tagami/lec/ Strategy of Numerical Simulatios Pheomea Error modelize

Διαβάστε περισσότερα

4.2 Differential Equations in Polar Coordinates

4.2 Differential Equations in Polar Coordinates Section 4. 4. Diffeential qations in Pola Coodinates Hee the two-dimensional Catesian elations of Chapte ae e-cast in pola coodinates. 4.. qilibim eqations in Pola Coodinates One wa of epesg the eqations

Διαβάστε περισσότερα

( )( ) ( )( ) 2. Chapter 3 Exercise Solutions EX3.1. Transistor biased in the saturation region

( )( ) ( )( ) 2. Chapter 3 Exercise Solutions EX3.1. Transistor biased in the saturation region Chapter 3 Exercise Solutios EX3. TN, 3, S 4.5 S 4.5 > S ( sat TN 3 Trasistor biased i the saturatio regio TN 0.8 3 0. / K K K ma (a, S 4.5 Saturatio regio: 0. 0. ma (b 3, S Nosaturatio regio: ( 0. ( 3

Διαβάστε περισσότερα

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAMthsTuto.com . Leve lk A O c C B Figue The poits A, B C hve positio vectos, c espectively, eltive to fie oigi O, s show i Figue. It is give tht i j, i j k c i j k. Clculte () c, ().( c), (c) the

Διαβάστε περισσότερα

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0. DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

B.A. (PROGRAMME) 1 YEAR

B.A. (PROGRAMME) 1 YEAR Graduate Course B.A. (PROGRAMME) YEAR ALGEBRA AND CALCULUS (PART-A : ALGEBRA) CONTENTS Lesso Lesso Lesso Lesso Lesso Lesso : Complex Numbers : De Moivre s Theorem : Applicatios of De Moivre s Theorem 4

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Μαθηματικά Πληροφορικής Συνδυαστικά Θεωρήματα σε Πεπερασμένα Σύνολα

Μαθηματικά Πληροφορικής Συνδυαστικά Θεωρήματα σε Πεπερασμένα Σύνολα Μαθηματικά Πληροφορικής Συνδυαστικά Θεωρήματα σε Πεπερασμένα Σύνολα Μια διμελής σχέση πάνω σε ένα σύνολο X καλείται μερική διάταξη αν η είναι ανακλαστική, αντισυμμετρική και μεταβατική, δηλαδή: a X, a

Διαβάστε περισσότερα

( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a)

( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a) hapter 5 xercise Problems X5. α β α 0.980 For α 0.980, β 49 0.980 0.995 For α 0.995, β 99 0.995 So 49 β 99 X5. O 00 O or n 3 O 40.5 β 0 X5.3 6.5 μ A 00 β ( 0)( 6.5 μa) 8 ma 5 ( 8)( 4 ) or.88 P on + 0.0065

Διαβάστε περισσότερα