FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection

Size: px
Start display at page:

Download "FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection"

Transcription

1 FFTs in Graphics and Vision Spherica Convoution and Axia Symmetry Detection

2 Outine Math Review Symmetry Genera Convoution Spherica Convoution Axia Symmetry Detection

3 Math Review Symmetry: Given a unitary representation of a group G on a vector space V, we say that a vector v V is invariant under the action of G if for a g G: ρ g v = v The set of G-invariant vector V G is a vector space.

4 Math Review Symmetry: The inear map π G is a projection onto V G, if: π G v V G for a v V π G v = v for a v V G v, w π G w = 0 for a v V G, w V. The map π G is the map sending a vector v to the cosest G-invariant vector.

5 Math Review Symmetry: The measure of symmetry of a vector v with respect to the group G is the size of its projection onto the space of G-invariant vectors: Sym 2 v, G = π G v 2

6 Math Review Convoution: Given two functions f(p) and g(p), we define the convoution of the two functions to be: f g q = f p g q p dp

7 Math Review Convoution: If we hod the function g fixed we can define a map from the space of functions back into itsef: C g f = f g Caim: The map C g is a inear operator.

8 Math Review Convoution: If we hod the function g fixed we can define a map from the space of functions back into itsef: C g f = f g Caim: Given functions f and h and scaars α and β: C g αf + βh q = α f p + β h p g q p dp = α f p g q p dp + β h p g q p dp = α C g f + β C g h

9 Math Review Convoution: Assume that the function g is rea-vaued and radia, i.e. the vaue of g at a point p is competey determined by the distance of p from the origin: g p = g( p ) Exampe: The function g is a Gaussian f g f g =

10 Math Review Convoution: Assume that the function g is rea-vaued and radia, i.e. the vaue of g at a point p is competey determined by the distance of p from the origin: g p = g( p ) Caim: In this case, C g is sef-adjoint (i.e. symmetric).

11 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Expanding the eft side, we get: C g f, h = C g f p h(p) dp

12 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Writing out the operator C g, we get: C g f, h = C g f p h(p) dp C g f, h = f g p h p dp

13 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Expressing the convoution as an integra gives: C g f, h = f g p h p dp C g f, h = f q g p q dq h p dp

14 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Changing the order of integration, we get: C g f, h = f q g p q dq h p dp C g f, h = f q g p q h p dp dq

15 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Using the fact that g is rea-vaued and radia: C g f, h = f q g p q h p dp dq C g f, h = f q h p g(q p) dp dq

16 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Using the equation for convoution, we get: C g f, h = f q h p g(q p) dp dq C g f, h = f q h g q dq

17 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h Using the equation for C g, we get: C g f, h = f q h g q dq C g f, h = f q C g h q dq

18 Math Review Convoution: Proof: We need to show that for any functions f and h: C g f, h = f, C g h And finay, using the equation for the dot-product: C g f, h = f q C g h q dq C g f, h = f, C g h

19 Outine Math Review Spherica Convoution Axia Symmetry Detection

20 Spherica Convoution/Correation In the case of the circe we used convoution / correation for two different tasks:

21 Spherica Convoution/Correation In the case of the circe we used convoution / correation for two different tasks: 1. We used convoution for operations ike smoothing circuar functions

22 Spherica Convoution/Correation In the case of the circe we used convoution / correation for two different tasks: 1. We used convoution for operations ike smoothing circuar functions 2. We used correation for operations ike aignment and symmetry detection k-fod Symmetry

23 Spherica Convoution/Correation Up to now, we thought of these two operations as essentiay the same. The situation changes as we move to functions on a sphere.

24 Spherica Convoution/Correation When we perform an operation ike smoothing, the input is: A function on the circe defining the signa, and A function on the circe defining the smoothing fiter The output of the operation is: A function on the circe = Signa Fiter Smoothed Signa

25 Spherica Convoution/Correation When we perform an operation ike aignment, the input is: Two functions on a circe The output is: A function on the space of 2D rotations

26 Spherica Convoution/Correation In the case of a circe, the situation is simper because the space of rotations is itsef a circe: There is a one-to-one mapping from points on a circe to rotations, with a point on a circe with ange θ corresponding to a rotation by an ange of θ. In the case of the sphere, the situation becomes more compicated: The sphere is a 2D space whie the rotations are a 3D space, so there can t be a one-to-one mapping.

27 Spherica Convoution In the case of a circe, we compute the vaue of the smoothed function at p by rotating the fiter so that (1,0) maps to p and then we compute the inner product of the signa with the rotated fiter. = *

28 Spherica Convoution In the case of a circe, we compute the vaue of the smoothed function at p by rotating the fiter so that (1,0) maps to p and then we compute the inner product of the signa with the rotated fiter. p =,

29 Spherica Convoution We can try an appy the same type of approach to the case of spherica functions. (0,1,0) Signa Fiter

30 Spherica Convoution We woud ike to define a new function on the sphere whose vaue at the point p is obtained by: Finding a rotation R that maps the North poe to p and then compute the inner product of the signa with the rotated fiter. p, R(0,1,0) Signa Rotated Fiter

31 Spherica Convoution The probem is that there are many different rotations that send the North poe to the point p, so this does not ead to a we-defined notion of smoothing. p, S(0,1,0) Signa Rotated Fiter

32 Spherica Convoution Reca: If we have two rotations R and S mapping the North poe to the point p, the rotations must differ by an initia rotation about the y-axis: S = R R y ψ (0,1,0) S R 1 p

33 Spherica Convoution Reca: Thus, we can make the notion of smoothing wedefined by ensuring that the initia rotation about the y-axis does not change the fiter.

34 Spherica Convoution Reca: This means that we can extend the circuar notion of smoothing to the sphere if we ensure that the fiter is symmetric about the y-axis: (0,1,0) Signa Fiter

35 Spherica Convoution Reca: This means that we can extend the circuar notion of smoothing to the sphere if we ensure that the fiter is symmetric about the y-axis: (0,1,0) If R and S are rotations mapping the North poe to p, then the rotation of the fiter by either R or S wi give Signa the same spherica Fiter function!

36 Spherica Convoution Convoution: Using the Euer ange representation, we know that the rotation taking the North poe to the point p = Φ(θ, φ) is the rotation: R θ, φ = R y θ R z φ y z x p θ φ

37 Spherica Convoution Convoution: Thus, given A spherica function f θ, φ A spherica fiter g(θ, φ) that is rotationaysymmetric about the y-axis The convoution of f with g at p = Φ θ, φ can be expressed by rotating g so the North poe gets mapped to p and computing the inner product: f g θ, φ = f, ρ R θ,φ (g)

38 Spherica Convoution Convoution: Expressing the spherica functions f and g in terms of the spherica harmonic basis, we get: f θ, φ = f, m Y m (θ, φ) g θ, φ = m= m= g, m Y m (θ, φ)

39 Spherica Convoution Convoution: Reca that the spherica harmonics can be expressed as a compex exponentia in θ times a poynomia in cos φ: Y m θ, φ = P m cos φ e imθ So a rotation by α degrees about the y-axis acts on the (, m)-th spherica harmonics by: ρ Ry α Y m = e imα Y m

40 Spherica Convoution Convoution: Thus, if the fiter g is rotationay symmetric about the y-axis, any rotation about the y-axis must not change g. That is, for a α we must have: ρ Ry α g = g Or in terms of the spherica harmonics: m= g, m Y m (θ, φ) = m= g, m = g, m e imα g, m e imα Y m θ, φ

41 Spherica Convoution Convoution: g, m = g, m e imα Thus, either: e imα = 1 for a α m = 0, or g, m = 0 Thus, in terms of the spherica harmonics, we get: g θ, φ = g, 0 Y 0 θ, φ

42 Spherica Convoution Y 0 0 θ, φ Im Y 1 1 θ, φ Y 1 0 θ, φ Re Y 1 1 θ, φ Im Y 2 2 θ, φ Im Y 2 1 θ, φ Y 2 0 θ, φ Re Y 2 1 θ, φ Re Y 2 2 θ, φ Im Y 3 3 θ, φ Im Y 3 2 θ, φ Im Y 3 1 θ, φ Y 3 0 θ, φ Re Y 2 1 θ, φ Re Y 3 2 θ, φ Re Y 3 3 θ, φ

43 Spherica Convoution g θ, φ = g, 0 Y 0 (θ, φ) Y 0 0 θ, φ Im Y 1 1 θ, φ Y 1 0 θ, φ Re Y 1 1 θ, φ Im Y 2 2 θ, φ Im Y 2 1 θ, φ Y 2 0 θ, φ Re Y 2 1 θ, φ Re Y 2 2 θ, φ Im Y 3 3 θ, φ Im Y 3 2 θ, φ Im Y 3 1 θ, φ Y 3 0 θ, φ Re Y 2 1 θ, φ Re Y 3 2 θ, φ Re Y 3 3 θ, φ

44 Spherica Convoution Convoution: Thus, the expression for the functions in terms of their spherica harmonic decomposition becomes: f θ, φ = f, m Y m (θ, φ) m= g θ, φ = g, 0 Y 0 (θ, φ) and we get an expression for the convoution: f g θ, φ = f, m Y m 0, ρ R θ,φ g, 0 Y m=

45 Spherica Convoution Convoution: By everaging the conjugate-inearity of the inner product and using the fact that the transformation ρ R is inear, we get: f g θ, φ = f g θ, φ = m=, m= f, m Y m, ρ R θ,φ g, 0 Y 0 f, m g(, 0) Y m, ρ R θ,φ Y 0

46 Spherica Convoution Convoution: Additionay, we know that: A rotation of an -th frequency function wi sti be an -th frequency function The space of -th frequency functions is orthogona to the space of -th frequency functions (if ) Thus, for a, we have: Y m, ρ R Y m = 0

47 Spherica Convoution Convoution: This ets us simpify the expression for the convoution: f g θ, φ = f g θ, φ =, m= m= f, m g(, 0) Y m, ρ R θ,φ Y 0 f, m g(, 0) Y m, ρ R θ,φ Y 0

48 Spherica Convoution Convoution: f g θ, φ = m= f, m g(, 0) Y m, ρ R θ,φ Y 0 To compute the convoution, we need to be abe to evauate the inner product: Y m, ρ R θ,φ Y 0

49 Spherica Convoution Convoution: What is the meaning of the function: Y m, ρ R θ,φ Y 0 This is a function on the sphere whose vaue at the point p = Φ(θ, φ) is the inner product of Y m with the rotation of Y 0, where the rotation takes the North poe to p.

50 Spherica Convoution Convoution: We woud ike to show that this function acts very simpy on the spherica harmonics: Y m, ρ R θ,φ Y 0 = λ Y m θ, φ Im Y 2 2 θ, φ Im Y 2 1 θ, φ Y 2 0 θ, φ Re Y 2 1 θ, φ Re Y 2 2 θ, φ

51 Spherica Convoution Convoution: Let s consider the operator C that maps spherica functions to spherica functions, defined by: C f θ, φ = f, ρ R θ,φ Y 0 As before, it turns out this map is a symmetric inear operator on the space of functions. Thus, there exists an orthonorma basis with respect to which C is diagona.

52 Spherica Convoution Convoution: Let s consider the operator C that maps spherica functions to spherica functions, defined by: C f θ, φ = f, ρ R θ,φ Y 0 This operator aso has the property that it commutes with rotations: Rotating a spherica function and then convoving with Y 0 is the same as first convoving with Y 0 and then rotating.

53 Spherica Convoution Convoution: So, as with the Lapacian, we have a case in which we are given a symmetric operator which commutes with rotations.

54 Spherica Convoution L: a symmetric operator R SO(3): a rotation V λ : the space of e. functions of L with e.vaue λ R L f = L R f λ R f = L R f f V λ R f V λ

55 Spherica Convoution Convoution: Thus, the subspace of -th frequency functions is a space of functions that are eigenvectors of C, a with the same eigenvaue: C Y m = λ, Y m Thus we have: C Y m = Y m 0 if λ otherwise

56 Spherica Convoution Convoution: Putting this a together, we get: Y m, ρ R θ,φ Y 0 = λ Y m (θ, φ) Thus, the equation for the convoution becomes: f g θ, φ = f g θ, φ = m= m= f, m g, 0 Y m, ρ R θ,φ Y 0 f, m g, 0 λ Y m (θ, φ)

57 Spherica Convoution Convoution: f g θ, φ = m= f, m g, 0 λ Y m (θ, φ) Thus, the convoution of f with g can be obtained by mutipying the (, m)-th spherica harmonic coefficients of f by λ g(, 0). As in the case of functions on a circe, this means that convoution in the spatia domain amounts to mutipication in the frequency domain.

58 Spherica Convoution Convoution: In order to be abe to use the convoution theorem for spherica functions, we need to know what the eigenvaues λ are.

59 Spherica Convoution Convoution: In order to be abe to use the convoution theorem for spherica functions, we need to know what the eigenvaues λ are. It turns out that these are: λ = 4π 2 + 1

60 Spherica Convoution Convoution: Which gives us the equation: f g, m = 4π f, m g(, 0) =

61 Outine Math Review Spherica Convoution Axia Symmetry Detection

62 Axia Symmetry Detection Given a spherica function f, we woud ike to compute the measure of the axia symmetry of f with respect to every axis through the origin. f(θ, φ) AxiaSym f (θ, φ)

63 Axia Symmetry Detection What is the measure of the axia symmetry of f about the y-axis? f(θ, φ)

64 Axia Symmetry Detection What is the measure of the axia symmetry of f about the y-axis? We know that f is axiay symmetric about the yaxis if it can be expressed as the sum of the Y 0 : Y 0 0 θ, φ Im Y 1 1 θ, φ Y 1 0 θ, φ Re Y 1 1 θ, φ Im Y 2 2 θ, φ Im Y 2 1 θ, φ Y 2 0 θ, φ Re Y 2 1 θ, φ Re Y 2 2 θ, φ

65 Axia Symmetry Detection What is the measure of the axia symmetry of f about the y-axis? We know that f is axiay symmetric about the yaxis if it can be expressed as the sum of the Y 0. We aso know that for m 0: Y 0, Y m = 0 So the projection onto the space of functions that are axiay symmetric about the y-axis is: π y k m= f, m Y m = f, 0 Y 0

66 Axia Symmetry Detection What is the measure of the axia symmetry of f about the y-axis? Thus, the measure of the axia symmetry of f about the y-axis is defined as: YAxiaSym 2 f = = f, 0 Y 0 f, 0 2 2

67 Axia Symmetry Detection More generay, we woud ike to be abe to compute the measure of the axia symmetry of f with respect to any axis. To compute the symmetry measure about the ine through p = Φ(θ, φ) we: Rotate so that p goes to the North poe, and Compute the symmetry measure about the y-axis. R(p) R p p

68 Axia Symmetry Detection More generay, we woud ike to be abe to compute the measure of the axia symmetry of f with respect Since to the any rotation axis. R(θ, φ) maps the To compute North the poe symmetry to p, the measure rotation we about are the ine through interested p = Φ(θ, in φ) is we: the inverse, R 1 (θ, φ). Rotate so that p goes to the North poe, and Compute the symmetry measure about the y-axis. R(p) R p p

69 Axia Symmetry Detection Using the fact that the spherica harmonics form an orthonorma basis, we know that the (, m)-th harmonic coefficient of f is defined by: f, m = f, Y m Thus, to compute the measure of axia symmetry about the axis through p we need to compute: AxiaSym f 2 θ, φ = ρ R 1 θ,φ f, Y 0 2

70 Axia Symmetry Detection Using the fact that ρ is a unitary representation we can re-write this equation as: AxiaSym f 2 θ, φ = AxiaSym f 2 θ, φ = ρ R 1 θ,φ f, Y 0 2 f, ρ R θ,φ Y 0 2

71 Axia Symmetry Detection Expressing f in terms of its spherica harmonic decomposition, we get: AxiaSym f 2 θ, φ = AxiaSym f 2 θ, φ = m= f, ρ R θ,φ Y 0 2 f(, m) Y m, ρ R θ,φ Y 0 2

72 Axia Symmetry Detection Appying the identity: Y m, ρ R θ,φ Y 0 = 4π Y m θ, φ we get an expression for the symmetry measure: AxiaSym f 2 θ, φ = AxiaSym f 2 θ, φ = 4π m= f(, m) Y m, ρ R θ,φ Y 0 m= f, m Y m θ, φ 2 2

73 Axia Symmetry Detection AxiaSym f 2 θ, φ = 4π m= f, m Y m θ, φ 2 Thus, the measure of axia symmetry can be computed by taking the weighted sum of the squares of the frequency components of f.

74 Axia Symmetry Detection AxiaSym f 2 θ, φ = 4π m= f, m Y m θ, φ 2 Initia Function Frequency Decomposition = = Axia Symmetry Descriptor Weighted Square Norms

FFTs in Graphics and Vision. Fast Alignment of Spherical Functions

FFTs in Graphics and Vision. Fast Alignment of Spherical Functions FFTs in Graphics and Vision Fast Alignment of Spherical Functions Outline Math Review Fast Rotational Alignment Review Recall 1: We can represent any rotation R in terms of the triplet of Euler angles

More information

LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS

LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.07: Eectromagnetism II October, 202 Prof. Aan Guth LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS

More information

221B Lecture Notes Notes on Spherical Bessel Functions

221B Lecture Notes Notes on Spherical Bessel Functions Definitions B Lecture Notes Notes on Spherica Besse Functions We woud ike to sove the free Schrödinger equation [ h d r R(r) = h k R(r). () m r dr r m R(r) is the radia wave function ψ( x) = R(r)Y m (θ,

More information

Math 124B January 17, 2012

Math 124B January 17, 2012 Math 124B January 17, 212 Viktor Grigoryan 3 Fu Fourier series We saw in previous ectures how the Dirichet and Neumann boundary conditions ead to respectivey sine and cosine Fourier series of the initia

More information

Higher dimensional PDEs and multidimensional eigenvalue problems

Higher dimensional PDEs and multidimensional eigenvalue problems Higher dimensiona PEs and mutidimensiona eigenvaue probems 1 Probems with three independent variabes Consider the prototypica equations u t = u (iffusion) u tt = u (W ave) u zz = u (Lapace) where u = u

More information

David Eigen. MA112 Final Paper. May 10, 2002

David Eigen. MA112 Final Paper. May 10, 2002 David Eigen MA112 Fina Paper May 1, 22 The Schrodinger equation describes the position of an eectron as a wave. The wave function Ψ(t, x is interpreted as a probabiity density for the position of the eectron.

More information

Separation of Variables and a Spherical Shell with Surface Charge

Separation of Variables and a Spherical Shell with Surface Charge Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation

More information

2M2. Fourier Series Prof Bill Lionheart

2M2. Fourier Series Prof Bill Lionheart M. Fourier Series Prof Bi Lionheart 1. The Fourier series of the periodic function f(x) with period has the form f(x) = a 0 + ( a n cos πnx + b n sin πnx ). Here the rea numbers a n, b n are caed the Fourier

More information

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES Separation of variabes is a method to sove certain PDEs which have a warped product structure. First, on R n, a inear PDE of order m is

More information

Assignment 7 Due Tuessday, March 29, 2016

Assignment 7 Due Tuessday, March 29, 2016 Math 45 / AMCS 55 Dr. DeTurck Assignment 7 Due Tuessday, March 9, 6 Topics for this week Convergence of Fourier series; Lapace s equation and harmonic functions: basic properties, compuations on rectanges

More information

LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL HARMONICS

LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL HARMONICS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.07: Eectromagnetism II October 7, 202 Prof. Aan Guth LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL

More information

PHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased

PHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased PHYS 110B - HW #1 Fa 2005, Soutions by David Pace Equations referenced as Eq. # are from Griffiths Probem statements are paraphrased [1.] Probem 6.8 from Griffiths A ong cyinder has radius R and a magnetization

More information

Legendre Polynomials - Lecture 8

Legendre Polynomials - Lecture 8 Legendre Poynomias - Lecture 8 Introduction In spherica coordinates the separation of variabes for the function of the poar ange resuts in Legendre s equation when the soution is independent of the azimutha

More information

Anouncements. Assignment 3 has been posted!

Anouncements. Assignment 3 has been posted! Anouncements Assignment 3 has been posted! FFTs in Graphics and Vision Correlation of Spherical Functions Outline Math Review Spherical Correlation Review Dimensionality: Given a complex n-dimensional

More information

$, (2.1) n="# #. (2.2)

$, (2.1) n=# #. (2.2) Chapter. Eectrostatic II Notes: Most of the materia presented in this chapter is taken from Jackson, Chap.,, and 4, and Di Bartoo, Chap... Mathematica Considerations.. The Fourier series and the Fourier

More information

14 Separation of Variables Method

14 Separation of Variables Method 14 Separation of Variabes Method Consider, for exampe, the Dirichet probem u t = Du xx < x u(x, ) = f(x) < x < u(, t) = = u(, t) t > Let u(x, t) = T (t)φ(x); now substitute into the equation: dt

More information

Quantum Mechanical Models of Vibration and Rotation of Molecules Chapter 18

Quantum Mechanical Models of Vibration and Rotation of Molecules Chapter 18 Quantum Mechanica Modes of Vibration and Rotation of Moecues Chapter 18 Moecuar Energy Transationa Vibrationa Rotationa Eectronic Moecuar Motions Vibrations of Moecues: Mode approximates moecues to atoms

More information

More Scattering: the Partial Wave Expansion

More Scattering: the Partial Wave Expansion More Scattering: the Partia Wave Expansion Michae Fower /7/8 Pane Waves and Partia Waves We are considering the soution to Schrödinger s equation for scattering of an incoming pane wave in the z-direction

More information

Fourier Series. 10 (D3.9) Find the Cesàro sum of the series. 11 (D3.9) Let a and b be real numbers. Under what conditions does a series of the form

Fourier Series. 10 (D3.9) Find the Cesàro sum of the series. 11 (D3.9) Let a and b be real numbers. Under what conditions does a series of the form Exercises Fourier Anaysis MMG70, Autumn 007 The exercises are taken from: Version: Monday October, 007 DXY Section XY of H F Davis, Fourier Series and orthogona functions EÖ Some exercises from earier

More information

Jackson 4.10 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Jackson 4.10 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell Jackson 4.10 Homework Probem Soution Dr. Christopher S. Baird University of Massachusetts Lowe PROBLEM: Two concentric conducting spheres of inner and outer radii a and b, respectivey, carry charges ±.

More information

Physics 116C Helmholtz s and Laplace s Equations in Spherical Polar Coordinates: Spherical Harmonics and Spherical Bessel Functions

Physics 116C Helmholtz s and Laplace s Equations in Spherical Polar Coordinates: Spherical Harmonics and Spherical Bessel Functions Physics 116C Hemhotz s an Lapace s Equations in Spherica Poar Coorinates: Spherica Harmonics an Spherica Besse Functions Peter Young Date: October 28, 2013) I. HELMHOLTZ S EQUATION As iscusse in cass,

More information

Problem set 6 The Perron Frobenius theorem.

Problem set 6 The Perron Frobenius theorem. Probem set 6 The Perron Frobenius theorem. Math 22a4 Oct 2 204, Due Oct.28 In a future probem set I want to discuss some criteria which aow us to concude that that the ground state of a sef-adjoint operator

More information

Gauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law

Gauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law Gauss Law 1. Review on 1) Couomb s Law (charge and force) 2) Eectric Fied (fied and force) 2. Gauss s Law: connects charge and fied 3. Appications of Gauss s Law Couomb s Law and Eectric Fied Couomb s

More information

6 Wave Equation on an Interval: Separation of Variables

6 Wave Equation on an Interval: Separation of Variables 6 Wave Equation on an Interva: Separation of Variabes 6.1 Dirichet Boundary Conditions Ref: Strauss, Chapter 4 We now use the separation of variabes technique to study the wave equation on a finite interva.

More information

Physics 127c: Statistical Mechanics. Fermi Liquid Theory: Collective Modes. Boltzmann Equation. The quasiparticle energy including interactions

Physics 127c: Statistical Mechanics. Fermi Liquid Theory: Collective Modes. Boltzmann Equation. The quasiparticle energy including interactions Physics 27c: Statistica Mechanics Fermi Liquid Theory: Coective Modes Botzmann Equation The quasipartice energy incuding interactions ε p,σ = ε p + f(p, p ; σ, σ )δn p,σ, () p,σ with ε p ε F + v F (p p

More information

STATISTICS ON HILBERT S SIXTEENTH PROBLEM

STATISTICS ON HILBERT S SIXTEENTH PROBLEM STATISTICS ON HILBERT S SIXTEENTH PROBLEM ANTONIO LERARIO AND ERIK LUNDBERG Abstract. We study the statistics of the number of connected components and the voume of a random rea agebraic hypersurface in

More information

4 1-D Boundary Value Problems Heat Equation

4 1-D Boundary Value Problems Heat Equation 4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x

More information

Notes: Most of the material presented in this chapter is taken from Jackson, Chap. 2, 3, and 4, and Di Bartolo, Chap. 2. 2π nx i a. ( ) = G n.

Notes: Most of the material presented in this chapter is taken from Jackson, Chap. 2, 3, and 4, and Di Bartolo, Chap. 2. 2π nx i a. ( ) = G n. Chapter. Eectrostatic II Notes: Most of the materia presented in this chapter is taken from Jackson, Chap.,, and 4, and Di Bartoo, Chap... Mathematica Considerations.. The Fourier series and the Fourier

More information

Physics 505 Fall Homework Assignment #4 Solutions

Physics 505 Fall Homework Assignment #4 Solutions Physics 505 Fa 2005 Homework Assignment #4 Soutions Textbook probems: Ch. 3: 3.4, 3.6, 3.9, 3.0 3.4 The surface of a hoow conducting sphere of inner radius a is divided into an even number of equa segments

More information

Physics 505 Fall 2007 Homework Assignment #5 Solutions. Textbook problems: Ch. 3: 3.13, 3.17, 3.26, 3.27

Physics 505 Fall 2007 Homework Assignment #5 Solutions. Textbook problems: Ch. 3: 3.13, 3.17, 3.26, 3.27 Physics 55 Fa 7 Homework Assignment #5 Soutions Textook proems: Ch. 3: 3.3, 3.7, 3.6, 3.7 3.3 Sove for the potentia in Proem 3., using the appropriate Green function otained in the text, and verify that

More information

CS229 Lecture notes. Andrew Ng

CS229 Lecture notes. Andrew Ng CS229 Lecture notes Andrew Ng Part IX The EM agorithm In the previous set of notes, we taked about the EM agorithm as appied to fitting a mixture of Gaussians. In this set of notes, we give a broader view

More information

A Brief Introduction to Markov Chains and Hidden Markov Models

A Brief Introduction to Markov Chains and Hidden Markov Models A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,

More information

Radiation Fields. Lecture 12

Radiation Fields. Lecture 12 Radiation Fieds Lecture 12 1 Mutipoe expansion Separate Maxwe s equations into two sets of equations, each set separatey invoving either the eectric or the magnetic fied. After remova of the time dependence

More information

The state vectors j, m transform in rotations like D(R) j, m = m j, m j, m D(R) j, m. m m (R) = j, m exp. where. d (j) m m (β) j, m exp ij )

The state vectors j, m transform in rotations like D(R) j, m = m j, m j, m D(R) j, m. m m (R) = j, m exp. where. d (j) m m (β) j, m exp ij ) Anguar momentum agebra It is easy to see that the operat J J x J x + J y J y + J z J z commutes with the operats J x, J y and J z, [J, J i ] 0 We choose the component J z and denote the common eigenstate

More information

Week 6 Lectures, Math 6451, Tanveer

Week 6 Lectures, Math 6451, Tanveer Fourier Series Week 6 Lectures, Math 645, Tanveer In the context of separation of variabe to find soutions of PDEs, we encountered or and in other cases f(x = f(x = a 0 + f(x = a 0 + b n sin nπx { a n

More information

Midterm 2 Review. Drew Rollins

Midterm 2 Review. Drew Rollins Midterm 2 Review Drew Roins 1 Centra Potentias and Spherica Coordinates 1.1 separation of variabes Soving centra force probems in physics (physica systems described by two objects with a force between

More information

C. Fourier Sine Series Overview

C. Fourier Sine Series Overview 12 PHILIP D. LOEWEN C. Fourier Sine Series Overview Let some constant > be given. The symboic form of the FSS Eigenvaue probem combines an ordinary differentia equation (ODE) on the interva (, ) with a

More information

Forces of Friction. through a viscous medium, there will be a resistance to the motion. and its environment

Forces of Friction. through a viscous medium, there will be a resistance to the motion. and its environment Forces of Friction When an object is in motion on a surface or through a viscous medium, there wi be a resistance to the motion This is due to the interactions between the object and its environment This

More information

TRANSFORMATION OF REAL SPHERICAL HARMONICS UNDER ROTATIONS

TRANSFORMATION OF REAL SPHERICAL HARMONICS UNDER ROTATIONS Vo. 39 (008) ACTA PHYSICA POLONICA B No 8 TRANSFORMATION OF REAL SPHERICAL HARMONICS UNDER ROTATIONS Zbigniew Romanowski Interdiscipinary Centre for Materias Modeing Pawińskiego 5a, 0-106 Warsaw, Poand

More information

Sampling with Bessel Functions

Sampling with Bessel Functions amping with Besse Functions K.I. Kou, T. Qian and F. ommen Abstract. The paper deas with samping of σ-bandimited functions in R m with Cifford-vaued, where bandimitedness means that the spectrum is contained

More information

Math 220B - Summer 2003 Homework 1 Solutions

Math 220B - Summer 2003 Homework 1 Solutions Math 0B - Summer 003 Homework Soutions Consider the eigenvaue probem { X = λx 0 < x < X satisfies symmetric BCs x = 0, Suppose f(x)f (x) x=b x=a 0 for a rea-vaued functions f(x) which satisfy the boundary

More information

Computing Spherical Transform and Convolution on the 2-Sphere

Computing Spherical Transform and Convolution on the 2-Sphere Computing Spherica Transform and Convoution on the 2-Sphere Boon Thye Thomas Yeo ythomas@mit.edu May, 25 Abstract We propose a simpe extension to the Least-Squares method of projecting sampes of an unknown

More information

The Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis

The Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis The Hessian of Axiay Symmetric Functions on SE(3) and Appication in 3D Image Anaysis M.H.J. Janssen 1, T.C.J. Dea Haije 1, F.C. Martin 1, E.J. Bekkers 1, R. Duits 1 1 Eindhoven University of Technoogy,

More information

11.1 One-dimensional Helmholtz Equation

11.1 One-dimensional Helmholtz Equation Chapter Green s Functions. One-dimensiona Hemhotz Equation Suppose we have a string driven by an externa force, periodic with frequency ω. The differentia equation here f is some prescribed function) 2

More information

Strauss PDEs 2e: Section Exercise 2 Page 1 of 12. For problem (1), complete the calculation of the series in case j(t) = 0 and h(t) = e t.

Strauss PDEs 2e: Section Exercise 2 Page 1 of 12. For problem (1), complete the calculation of the series in case j(t) = 0 and h(t) = e t. Strauss PDEs e: Section 5.6 - Exercise Page 1 of 1 Exercise For probem (1, compete the cacuation of the series in case j(t = and h(t = e t. Soution With j(t = and h(t = e t, probem (1 on page 147 becomes

More information

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues Numerische Mathematik manuscript No. (wi be inserted by the editor) Smoothness equivaence properties of univariate subdivision schemes and their projection anaogues Phiipp Grohs TU Graz Institute of Geometry

More information

Lecture 8 February 18, 2010

Lecture 8 February 18, 2010 Sources of Eectromagnetic Fieds Lecture 8 February 18, 2010 We now start to discuss radiation in free space. We wi reorder the materia of Chapter 9, bringing sections 6 7 up front. We wi aso cover some

More information

Math 124B January 31, 2012

Math 124B January 31, 2012 Math 124B January 31, 212 Viktor Grigoryan 7 Inhomogeneous boundary vaue probems Having studied the theory of Fourier series, with which we successfuy soved boundary vaue probems for the homogeneous heat

More information

SEMINAR 2. PENDULUMS. V = mgl cos θ. (2) L = T V = 1 2 ml2 θ2 + mgl cos θ, (3) d dt ml2 θ2 + mgl sin θ = 0, (4) θ + g l

SEMINAR 2. PENDULUMS. V = mgl cos θ. (2) L = T V = 1 2 ml2 θ2 + mgl cos θ, (3) d dt ml2 θ2 + mgl sin θ = 0, (4) θ + g l Probem 7. Simpe Penduum SEMINAR. PENDULUMS A simpe penduum means a mass m suspended by a string weightess rigid rod of ength so that it can swing in a pane. The y-axis is directed down, x-axis is directed

More information

3D and 6D Fast Rotational Matching

3D and 6D Fast Rotational Matching 3D and 6D Fast Rotationa Matching Juio Kovacs, Ph.D. Department of Moecuar Bioogy The Scripps Research Institute 10550 N. Torrey Pines Road, Mai TPC6 La Joa, Caifornia, 9037 Situs Modeing Workshop, San

More information

MAT 167: Advanced Linear Algebra

MAT 167: Advanced Linear Algebra < Proem 1 (15 pts) MAT 167: Advanced Linear Agera Fina Exam Soutions (a) (5 pts) State the definition of a unitary matrix and expain the difference etween an orthogona matrix and an unitary matrix. Soution:

More information

FFTs in Graphics and Vision. The Laplace Operator

FFTs in Graphics and Vision. The Laplace Operator FFTs in Graphics and Vision The Laplace Operator 1 Outline Math Stuff Symmetric/Hermitian Matrices Lagrange Multipliers Diagonalizing Symmetric Matrices The Laplacian Operator 2 Linear Operators Definition:

More information

Lecture Notes for Math 251: ODE and PDE. Lecture 34: 10.7 Wave Equation and Vibrations of an Elastic String

Lecture Notes for Math 251: ODE and PDE. Lecture 34: 10.7 Wave Equation and Vibrations of an Elastic String ecture Notes for Math 251: ODE and PDE. ecture 3: 1.7 Wave Equation and Vibrations of an Eastic String Shawn D. Ryan Spring 212 ast Time: We studied other Heat Equation probems with various other boundary

More information

FFTs in Graphics and Vision. Rotational and Reflective Symmetry Detection

FFTs in Graphics and Vision. Rotational and Reflective Symmetry Detection FFTs in Graphics and Vision Rotational and Reflective Symmetry Detection Outline Representation Theory Symmetry Detection Rotational Symmetry Reflective Symmetry Representation Theory Recall: A group is

More information

Cluster modelling. Collisions. Stellar Dynamics & Structure of Galaxies handout #2. Just as a self-gravitating collection of objects.

Cluster modelling. Collisions. Stellar Dynamics & Structure of Galaxies handout #2. Just as a self-gravitating collection of objects. Stear Dynamics & Structure of Gaaxies handout # Custer modeing Just as a sef-gravitating coection of objects. Coisions Do we have to worry about coisions? Gobuar custers ook densest, so obtain a rough

More information

ON THE REPRESENTATION OF OPERATORS IN BASES OF COMPACTLY SUPPORTED WAVELETS

ON THE REPRESENTATION OF OPERATORS IN BASES OF COMPACTLY SUPPORTED WAVELETS SIAM J. NUMER. ANAL. c 1992 Society for Industria Appied Mathematics Vo. 6, No. 6, pp. 1716-1740, December 1992 011 ON THE REPRESENTATION OF OPERATORS IN BASES OF COMPACTLY SUPPORTED WAVELETS G. BEYLKIN

More information

FRST Multivariate Statistics. Multivariate Discriminant Analysis (MDA)

FRST Multivariate Statistics. Multivariate Discriminant Analysis (MDA) 1 FRST 531 -- Mutivariate Statistics Mutivariate Discriminant Anaysis (MDA) Purpose: 1. To predict which group (Y) an observation beongs to based on the characteristics of p predictor (X) variabes, using

More information

Dipartimento di Matematica

Dipartimento di Matematica Dipartimento di Matematica V. CASARINO TWO-PARAMETER ESTIMATES FOR JOINT SPECTRAL PROJECTIONS ON S n Rapporto interno N. 3, febbraio 7 Poitecnico di Torino Corso Duca degi Abruzzi, 4-9 Torino-Itaia TWO-PARAMETER

More information

Introduction to LMTO method

Introduction to LMTO method 1 Introduction to MTO method 24 February 2011; V172 P.Ravindran, FME-course on Ab initio Modeing of soar ce Materias 24 February 2011 Introduction to MTO method Ab initio Eectronic Structure Cacuations

More information

Section 6: Magnetostatics

Section 6: Magnetostatics agnetic fieds in matter Section 6: agnetostatics In the previous sections we assumed that the current density J is a known function of coordinates. In the presence of matter this is not aways true. The

More information

1.2 Partial Wave Analysis

1.2 Partial Wave Analysis February, 205 Lecture X.2 Partia Wave Anaysis We have described scattering in terms of an incoming pane wave, a momentum eigenet, and and outgoing spherica wave, aso with definite momentum. We now consider

More information

Restricted weak type on maximal linear and multilinear integral maps.

Restricted weak type on maximal linear and multilinear integral maps. Restricted weak type on maxima inear and mutiinear integra maps. Oscar Basco Abstract It is shown that mutiinear operators of the form T (f 1,..., f k )(x) = R K(x, y n 1,..., y k )f 1 (y 1 )...f k (y

More information

An explicit Jordan Decomposition of Companion matrices

An explicit Jordan Decomposition of Companion matrices An expicit Jordan Decomposition of Companion matrices Fermín S V Bazán Departamento de Matemática CFM UFSC 88040-900 Forianópois SC E-mai: fermin@mtmufscbr S Gratton CERFACS 42 Av Gaspard Coriois 31057

More information

DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM

DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM MIKAEL NILSSON, MATTIAS DAHL AND INGVAR CLAESSON Bekinge Institute of Technoogy Department of Teecommunications and Signa Processing

More information

Lecture Notes 4: Fourier Series and PDE s

Lecture Notes 4: Fourier Series and PDE s Lecture Notes 4: Fourier Series and PDE s 1. Periodic Functions A function fx defined on R is caed a periodic function if there exists a number T > such that fx + T = fx, x R. 1.1 The smaest number T for

More information

Gaussian Curvature in a p-orbital, Hydrogen-like Atoms

Gaussian Curvature in a p-orbital, Hydrogen-like Atoms Advanced Studies in Theoretica Physics Vo. 9, 015, no. 6, 81-85 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/astp.015.5115 Gaussian Curvature in a p-orbita, Hydrogen-ike Atoms Sandro-Jose Berrio-Guzman

More information

V.B The Cluster Expansion

V.B The Cluster Expansion V.B The Custer Expansion For short range interactions, speciay with a hard core, it is much better to repace the expansion parameter V( q ) by f( q ) = exp ( βv( q )), which is obtained by summing over

More information

ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION

ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION J. Korean Math. Soc. 46 2009, No. 2, pp. 281 294 ORHOGONAL MLI-WAVELES FROM MARIX FACORIZAION Hongying Xiao Abstract. Accuracy of the scaing function is very crucia in waveet theory, or correspondingy,

More information

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries c 26 Noninear Phenomena in Compex Systems First-Order Corrections to Gutzwier s Trace Formua for Systems with Discrete Symmetries Hoger Cartarius, Jörg Main, and Günter Wunner Institut für Theoretische

More information

Parallel-Axis Theorem

Parallel-Axis Theorem Parae-Axis Theorem In the previous exampes, the axis of rotation coincided with the axis of symmetry of the object For an arbitrary axis, the paraeaxis theorem often simpifies cacuations The theorem states

More information

4 Separation of Variables

4 Separation of Variables 4 Separation of Variabes In this chapter we describe a cassica technique for constructing forma soutions to inear boundary vaue probems. The soution of three cassica (paraboic, hyperboic and eiptic) PDE

More information

Lecture 17 - The Secrets we have Swept Under the Rug

Lecture 17 - The Secrets we have Swept Under the Rug Lecture 17 - The Secrets we have Swept Under the Rug Today s ectures examines some of the uirky features of eectrostatics that we have negected up unti this point A Puzze... Let s go back to the basics

More information

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES by Michae Neumann Department of Mathematics, University of Connecticut, Storrs, CT 06269 3009 and Ronad J. Stern Department of Mathematics, Concordia

More information

(f) is called a nearly holomorphic modular form of weight k + 2r as in [5].

(f) is called a nearly holomorphic modular form of weight k + 2r as in [5]. PRODUCTS OF NEARLY HOLOMORPHIC EIGENFORMS JEFFREY BEYERL, KEVIN JAMES, CATHERINE TRENTACOSTE, AND HUI XUE Abstract. We prove that the product of two neary hoomorphic Hece eigenforms is again a Hece eigenform

More information

Srednicki Chapter 51

Srednicki Chapter 51 Srednici Chapter 51 QFT Probems & Soutions A. George September 7, 13 Srednici 51.1. Derive the fermion-oop correction to the scaar proagator by woring through equation 5., and show that it has an extra

More information

A nodal collocation approximation for the multidimensional P L equations. 3D applications.

A nodal collocation approximation for the multidimensional P L equations. 3D applications. XXI Congreso de Ecuaciones Diferenciaes y Apicaciones XI Congreso de Matemática Apicada Ciudad Rea, 1-5 septiembre 9 (pp. 1 8) A noda coocation approximation for the mutidimensiona P L equations. 3D appications.

More information

T.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA

T.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA ON THE SYMMETRY OF THE POWER INE CHANNE T.C. Banwe, S. Gai {bct, sgai}@research.tecordia.com Tecordia Technoogies, Inc., 445 South Street, Morristown, NJ 07960, USA Abstract The indoor power ine network

More information

Discrete Techniques. Chapter Introduction

Discrete Techniques. Chapter Introduction Chapter 3 Discrete Techniques 3. Introduction In the previous two chapters we introduced Fourier transforms of continuous functions of the periodic and non-periodic (finite energy) type, we as various

More information

Stochastic Variational Inference with Gradient Linearization

Stochastic Variational Inference with Gradient Linearization Stochastic Variationa Inference with Gradient Linearization Suppementa Materia Tobias Pötz * Anne S Wannenwetsch Stefan Roth Department of Computer Science, TU Darmstadt Preface In this suppementa materia,

More information

Discrete Techniques. Chapter Introduction

Discrete Techniques. Chapter Introduction Chapter 3 Discrete Techniques 3. Introduction In the previous two chapters we introduced Fourier transforms of continuous functions of the periodic and non-periodic (finite energy) type, as we as various

More information

ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP

ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP ABSTRACT. If µ is a Gaussian measure on a Hibert space with mean a and covariance operator T, and r is a} fixed positive

More information

V.B The Cluster Expansion

V.B The Cluster Expansion V.B The Custer Expansion For short range interactions, speciay with a hard core, it is much better to repace the expansion parameter V( q ) by f(q ) = exp ( βv( q )) 1, which is obtained by summing over

More information

18. Atmospheric scattering details

18. Atmospheric scattering details 8. Atmospheric scattering detais See Chandrasekhar for copious detais and aso Goody & Yung Chapters 7 (Mie scattering) and 8. Legendre poynomias are often convenient in scattering probems to expand the

More information

Introduction to Riemann Solvers

Introduction to Riemann Solvers CO 5 BOLD WORKSHOP 2, 2 4 June Introduction to Riemann Sovers Oskar Steiner . Three major advancements in the numerica treatment of the hydrodynamic equations Three major progresses in computationa fuid

More information

In Coulomb gauge, the vector potential is then given by

In Coulomb gauge, the vector potential is then given by Physics 505 Fa 007 Homework Assignment #8 Soutions Textbook probems: Ch. 5: 5.13, 5.14, 5.15, 5.16 5.13 A sphere of raius a carries a uniform surface-charge istribution σ. The sphere is rotate about a

More information

Determinantal point process models on the sphere

Determinantal point process models on the sphere Determinanta point process modes on the sphere Jesper Møer 1, Morten Niesen 1, Emiio Porcu 2 and Ege Rubak 1 1 Department of Mathematica Sciences, Aaborg University, Denmark jm@math.aau.dk. mniesen@math.aau.dk,

More information

Polar Snakes: a fast and robust parametric active contour model

Polar Snakes: a fast and robust parametric active contour model Poar Snakes: a fast and robust parametric active contour mode Christophe Coewet To cite this version: Christophe Coewet. Poar Snakes: a fast and robust parametric active contour mode. IEEE Int. Conf. on

More information

Homework #04 Answers and Hints (MATH4052 Partial Differential Equations)

Homework #04 Answers and Hints (MATH4052 Partial Differential Equations) Homework #4 Answers and Hints (MATH452 Partia Differentia Equations) Probem 1 (Page 89, Q2) Consider a meta rod ( < x < ), insuated aong its sides but not at its ends, which is initiay at temperature =

More information

Introduction to Simulation - Lecture 14. Multistep Methods II. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, and Karen Veroy

Introduction to Simulation - Lecture 14. Multistep Methods II. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, and Karen Veroy Introduction to Simuation - Lecture 14 Mutistep Methods II Jacob White Thans to Deepa Ramaswamy, Micha Rewiensi, and Karen Veroy Outine Sma Timestep issues for Mutistep Methods Reminder about LTE minimization

More information

Smoothers for ecient multigrid methods in IGA

Smoothers for ecient multigrid methods in IGA Smoothers for ecient mutigrid methods in IGA Cemens Hofreither, Stefan Takacs, Water Zuehner DD23, Juy 2015 supported by The work was funded by the Austrian Science Fund (FWF): NFN S117 (rst and third

More information

XSAT of linear CNF formulas

XSAT of linear CNF formulas XSAT of inear CN formuas Bernd R. Schuh Dr. Bernd Schuh, D-50968 Kön, Germany; bernd.schuh@netcoogne.de eywords: compexity, XSAT, exact inear formua, -reguarity, -uniformity, NPcompeteness Abstract. Open

More information

Related Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage

Related Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage Magnetic induction TEP Reated Topics Maxwe s equations, eectrica eddy fied, magnetic fied of cois, coi, magnetic fux, induced votage Principe A magnetic fied of variabe frequency and varying strength is

More information

Joel Broida UCSD Fall 2009 Phys 130B QM II. Homework Set 2 DO ALL WORK BY HAND IN OTHER WORDS, DON T USE MATHEMAT- ICA OR ANY CALCULATORS.

Joel Broida UCSD Fall 2009 Phys 130B QM II. Homework Set 2 DO ALL WORK BY HAND IN OTHER WORDS, DON T USE MATHEMAT- ICA OR ANY CALCULATORS. Joe Broida UCSD Fa 009 Phys 30B QM II Homework Set DO ALL WORK BY HAND IN OTHER WORDS, DON T USE MATHEMAT- ICA OR ANY CALCULATORS. You may need to use one or more of these: Y 0 0 = 4π Y 0 = 3 4π cos Y

More information

Mat 1501 lecture notes, penultimate installment

Mat 1501 lecture notes, penultimate installment Mat 1501 ecture notes, penutimate instament 1. bounded variation: functions of a singe variabe optiona) I beieve that we wi not actuay use the materia in this section the point is mainy to motivate the

More information

1 Heat Equation Dirichlet Boundary Conditions

1 Heat Equation Dirichlet Boundary Conditions Chapter 3 Heat Exampes in Rectanges Heat Equation Dirichet Boundary Conditions u t (x, t) = ku xx (x, t), < x (.) u(, t) =, u(, t) = u(x, ) = f(x). Separate Variabes Look for simpe soutions in the

More information

HILBERT? What is HILBERT? Matlab Implementation of Adaptive 2D BEM. Dirk Praetorius. Features of HILBERT

HILBERT? What is HILBERT? Matlab Implementation of Adaptive 2D BEM. Dirk Praetorius. Features of HILBERT Söerhaus-Workshop 2009 October 16, 2009 What is HILBERT? HILBERT Matab Impementation of Adaptive 2D BEM joint work with M. Aurada, M. Ebner, S. Ferraz-Leite, P. Godenits, M. Karkuik, M. Mayr Hibert Is

More information

Absolute Value Preconditioning for Symmetric Indefinite Linear Systems

Absolute Value Preconditioning for Symmetric Indefinite Linear Systems MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.mer.com Absoute Vaue Preconditioning for Symmetric Indefinite Linear Systems Vecharynski, E.; Knyazev, A.V. TR2013-016 March 2013 Abstract We introduce

More information

Term Test AER301F. Dynamics. 5 November The value of each question is indicated in the table opposite.

Term Test AER301F. Dynamics. 5 November The value of each question is indicated in the table opposite. U N I V E R S I T Y O F T O R O N T O Facuty of Appied Science and Engineering Term Test AER31F Dynamics 5 November 212 Student Name: Last Name First Names Student Number: Instructions: 1. Attempt a questions.

More information

FRIEZE GROUPS IN R 2

FRIEZE GROUPS IN R 2 FRIEZE GROUPS IN R 2 MAXWELL STOLARSKI Abstract. Focusing on the Eucidean pane under the Pythagorean Metric, our goa is to cassify the frieze groups, discrete subgroups of the set of isometries of the

More information

arxiv: v3 [math.ca] 8 Nov 2018

arxiv: v3 [math.ca] 8 Nov 2018 RESTRICTIONS OF HIGHER DERIVATIVES OF THE FOURIER TRANSFORM MICHAEL GOLDBERG AND DMITRIY STOLYAROV arxiv:1809.04159v3 [math.ca] 8 Nov 018 Abstract. We consider severa probems reated to the restriction

More information