"The fact that space is three-dimensional is due to nature. The way we measure it is due to us." Cartesian coordinates are one familiar way to do that, but other coordinate systems exist which are more useful in other situations.
This document discusses key concepts in vector calculus including:
1) The gradient of a scalar, which is a vector representing the directional derivative/rate of change.
2) Divergence of a vector, which measures the outward flux density at a point.
3) Divergence theorem, relating the outward flux through a closed surface to the volume integral of the divergence.
4) Curl of a vector, which measures the maximum circulation and tendency for rotation.
Formulas are provided for calculating these quantities in Cartesian, cylindrical, and spherical coordinate systems. Examples are worked through applying the concepts and formulas.
This document discusses cylindrical coordinate systems including point transformations between cylindrical and rectangular coordinates, differential elements in cylindrical coordinates such as differential volume and length, and dot products of unit vectors in cylindrical and rectangular coordinate systems. It covers topics such as the differential volume formula in cylindrical coordinates, dV = ρ dρ dφ dz, and differential elements in cylindrical coordinate systems.
Cylindrical and Spherical Coordinates SystemJezreel David
This document discusses cylindrical and spherical coordinate systems. It provides objectives for understanding these coordinate systems, converting between them and Cartesian coordinates, and developing problem-solving skills. Examples are given of converting between cylindrical and Cartesian coordinates, as well as spherical and Cartesian coordinates. Key aspects of cylindrical coordinates include representing points as (r,θ,z) and using conversion equations. Spherical coordinates represent points as (ρ,φ,θ) similar to latitude and longitude. Conversion equations are also provided between the cylindrical and spherical systems.
The document discusses various coordinate transformations between Cartesian, cylindrical, and spherical coordinate systems. It provides the transformation equations for scalar and vector variables between these coordinate systems. Examples are included to demonstrate transforming between Cartesian and cylindrical coordinates for points in both scalar and vector form. The key topics covered are the four types of coordinate transformations, the transformation equations, and examples to illustrate the transformations.
Cylindrical and spherical coordinates shalinishalini singh
In this Presentation, I have explained the co-ordinate system in three plain. ie Cylindrical, Spherical, Cartesian(Rectangular) along with its Differential formulas for length, area &volume.
Linear differential equation with constant coefficientSanjay Singh
The document discusses linear differential equations with constant coefficients. It defines the order, auxiliary equation, complementary function, particular integral and general solution. It provides examples of determining the complementary function and particular integral for different types of linear differential equations. It also discusses Legendre's linear equations, Cauchy-Euler equations, and solving simultaneous linear differential equations.
Coordinate systems (and transformations) and vector calculus garghanish
The document discusses various coordinate systems and vector calculus concepts. It defines Cartesian, cylindrical, and spherical coordinate systems. It describes how to write vectors and relationships between components in different coordinate systems. It also covers vector operations like gradient, divergence, curl, and Laplacian as well as line, surface, and volume integrals. Examples are provided to illustrate calculating the gradient of scalar fields defined in different coordinate systems.
The document discusses initial value problems for first order differential equations and Euler's method for solving such problems numerically. It provides an example problem where Euler's method is used to find successive y-values for the differential equation dy/dx = x with the initial condition y(0) = 1. The y-values found using Euler's method are then compared to the actual solution, showing small errors that decrease as the step size h is reduced.
This document discusses key concepts in vector calculus including:
1) The gradient of a scalar, which is a vector representing the directional derivative/rate of change.
2) Divergence of a vector, which measures the outward flux density at a point.
3) Divergence theorem, relating the outward flux through a closed surface to the volume integral of the divergence.
4) Curl of a vector, which measures the maximum circulation and tendency for rotation.
Formulas are provided for calculating these quantities in Cartesian, cylindrical, and spherical coordinate systems. Examples are worked through applying the concepts and formulas.
This document discusses cylindrical coordinate systems including point transformations between cylindrical and rectangular coordinates, differential elements in cylindrical coordinates such as differential volume and length, and dot products of unit vectors in cylindrical and rectangular coordinate systems. It covers topics such as the differential volume formula in cylindrical coordinates, dV = ρ dρ dφ dz, and differential elements in cylindrical coordinate systems.
Cylindrical and Spherical Coordinates SystemJezreel David
This document discusses cylindrical and spherical coordinate systems. It provides objectives for understanding these coordinate systems, converting between them and Cartesian coordinates, and developing problem-solving skills. Examples are given of converting between cylindrical and Cartesian coordinates, as well as spherical and Cartesian coordinates. Key aspects of cylindrical coordinates include representing points as (r,θ,z) and using conversion equations. Spherical coordinates represent points as (ρ,φ,θ) similar to latitude and longitude. Conversion equations are also provided between the cylindrical and spherical systems.
The document discusses various coordinate transformations between Cartesian, cylindrical, and spherical coordinate systems. It provides the transformation equations for scalar and vector variables between these coordinate systems. Examples are included to demonstrate transforming between Cartesian and cylindrical coordinates for points in both scalar and vector form. The key topics covered are the four types of coordinate transformations, the transformation equations, and examples to illustrate the transformations.
Cylindrical and spherical coordinates shalinishalini singh
In this Presentation, I have explained the co-ordinate system in three plain. ie Cylindrical, Spherical, Cartesian(Rectangular) along with its Differential formulas for length, area &volume.
Linear differential equation with constant coefficientSanjay Singh
The document discusses linear differential equations with constant coefficients. It defines the order, auxiliary equation, complementary function, particular integral and general solution. It provides examples of determining the complementary function and particular integral for different types of linear differential equations. It also discusses Legendre's linear equations, Cauchy-Euler equations, and solving simultaneous linear differential equations.
Coordinate systems (and transformations) and vector calculus garghanish
The document discusses various coordinate systems and vector calculus concepts. It defines Cartesian, cylindrical, and spherical coordinate systems. It describes how to write vectors and relationships between components in different coordinate systems. It also covers vector operations like gradient, divergence, curl, and Laplacian as well as line, surface, and volume integrals. Examples are provided to illustrate calculating the gradient of scalar fields defined in different coordinate systems.
The document discusses initial value problems for first order differential equations and Euler's method for solving such problems numerically. It provides an example problem where Euler's method is used to find successive y-values for the differential equation dy/dx = x with the initial condition y(0) = 1. The y-values found using Euler's method are then compared to the actual solution, showing small errors that decrease as the step size h is reduced.
B.tech ii unit-5 material vector integrationRai University
This document discusses various vector integration topics:
1. It defines line, surface, and volume integrals and provides examples of evaluating each. Line integrals deal with vector fields along paths, surface integrals deal with vector fields over surfaces, and volume integrals deal with vector fields throughout a volume.
2. Green's theorem, Stokes' theorem, and Gauss's theorem are introduced as relationships between these types of integrals but their proofs are not shown.
3. Examples are provided to demonstrate evaluating line integrals of conservative and non-conservative vector fields, as well as a surface integral over a spherical surface.
This document discusses the Galerkin method for solving differential equations. It begins by introducing how engineering problems can be expressed as differential equations with boundary conditions. It then explains that the Galerkin method uses an approximation approach to find the function that satisfies the equations. The key steps of the Galerkin method are to introduce a trial solution as a linear combination of basis functions, choose weight functions, take the inner product of the residual and weight functions to generate a system of equations for the unknown coefficients, and solve this system to obtain the approximate solution. An example of applying the Galerkin method to solve a second order differential equation is also provided.
This document provides information about different coordinate systems including polar, cylindrical, Cartesian, and spherical coordinate systems. It describes key aspects of each system such as their components, definitions, relationships between variables in different systems, and applications. Real-world examples of how coordinate systems are used for map projections, global positioning systems, and air traffic control are also discussed.
Vector calculus is concerned with differentiation and integration of vector fields, primarily in 3D Euclidean space. It plays an important role in differential geometry and studying partial differential equations. Vector fields assign a vector to each point in a space to model things like fluid speed/direction or magnetic/gravitational forces. Vector calculus distinguishes between vector fields, pseudovector fields, scalar fields, and pseudoscalar fields.
Dielectrics are materials that have permanent electric dipole moments. All dielectrics are electrical insulators and are mainly used to store electrical energy by utilizing bound electric charges and dipoles within their molecular structure. Important properties of dielectrics include their electric intensity or field strength, electric flux density, dielectric parameters such as dielectric constant and electric dipole moment, and polarization processes including electronic, ionic, and orientation polarization. Dielectrics are characterized by their complex permittivity, which relates to their ability to transmit electric fields and is dependent on factors like frequency, temperature, and humidity that can influence dielectric losses.
Maxwells equation and Electromagnetic WavesA K Mishra
These slide contains Scalar,Vector fields ,gradients,Divergence,and Curl,Gauss divergence theorem,Stoks theorem,Maxwell electromagnetic equations ,Pointing theorem,Depth of penetration (Skin depth) for graduate and Engineering students and teachers.
This document discusses Lagrangian dynamics and Hamilton's principle. It begins by introducing important notation conventions used in the chapter. It then provides an overview of Hamilton's principle and how it can be used to derive Lagrange's equations of motion. This allows problems to be solved in a general manner even when forces are difficult to express or some constraints exist. Examples are provided, including deriving the equation of motion for a simple pendulum using both Cartesian and cylindrical coordinates. The concept of generalized coordinates is also introduced to represent the degrees of freedom of a system.
This document discusses integrals and their applications. It introduces integral calculus and its use in joining small pieces together to find amounts. It lists several types of integrals and mathematicians influential in integral calculus development like Euclid, Archimedes, Newton, and Riemann. The document also discusses applications of integration in business processes, automation tools for integrating disparate applications, and applications of very large scale integration circuit design.
Rutherford scattering & the scattering cross-sectionBisma Princezz
1) Rutherford performed an experiment where he bombarded a thin gold foil with alpha particles and observed that most passed through without deflection, some were deflected by small angles, and a few were deflected back.
2) This led Rutherford to propose an atomic model where the atom has a small, dense nucleus containing its mass and positive charge, surrounded by electrons in orbits.
3) This was a major departure from the previous "plum pudding" model where charge and mass were thought to be uniformly distributed. However, Rutherford's model failed to explain the stability of electron orbits.
Cauchy integral theorem & formula (complex variable & numerical method )Digvijaysinh Gohil
1) The document discusses the Cauchy Integral Theorem and Formula. It states that if a function f(z) is analytic inside and on a closed curve C, then the integral of f(z) around C is equal to 0.
2) It provides examples of evaluating integrals using the Cauchy Integral Theorem when the singularities lie outside the closed curve C.
3) The Cauchy Integral Formula is introduced, which expresses the value of an analytic function F(a) inside C as a contour integral around C. Examples are worked out applying this formula to find the value and derivatives of functions at points inside C.
1) The document provides an overview of classical mechanics, including definitions of key concepts like space, time, mass, and force. It summarizes Newton's three laws of motion and how they relate to concepts like momentum and inertia.
2) Key principles of classical mechanics are explained, such as reference frames, Newton's laws, and conservation of momentum. Vector operations and products are also defined.
3) Examples are given to illustrate fundamental principles, like Newton's third law and how it relates to conservation of momentum in systems with multiple objects. Coordinate systems are briefly introduced.
Numerical Methods - Power Method for Eigen valuesDr. Nirav Vyas
The document discusses the power method, an iterative method for estimating the largest or smallest eigenvalue and corresponding eigenvector of a matrix. It begins by introducing the power method and notes it is useful when a matrix's eigenvalues can be ordered by magnitude. It then provides the working rules for determining a matrix's largest eigenvalue using the power method, which involves iteratively computing the matrix-vector product and rescaling the vector. Finally, it includes an example applying the power method to estimate the largest eigenvalue and eigenvector of a 2x2 matrix.
1. The document discusses different coordinate systems including rectangular, cylindrical, and spherical coordinates. It defines scalar and vector fields and provides examples.
2. Key concepts covered include the dot product, cross product, gradient, divergence, curl, and Laplacian as they relate to vector and scalar fields in different coordinate systems.
3. Various coordinate transformations are demonstrated along with differential elements, line integrals, surface integrals and volume integrals in each system.
- A differential equation relates an independent variable, dependent variable, and derivatives of the dependent variable with respect to the independent variable.
- The order of a differential equation is the order of the highest derivative, and the degree is the degree of the highest derivative.
- Differential equations can be classified based on their order (first order vs higher order) and linearity (linear vs nonlinear).
- The general solution of a differential equation contains arbitrary constants, while a particular solution gives specific values for those constants.
This document discusses first order differential equations. It defines differential equations and classifies them as ordinary or partial based on whether they involve derivatives with respect to a single or multiple variables. First order differential equations are classified into four types: variable separable, homogeneous, linear, and exact. The document provides examples of each type and explains their general forms and solution methods like separating variables, making substitutions, and integrating.
The document discusses Legendre functions, which are solutions to Legendre's differential equation. Legendre functions arise when solving Laplace's equation in spherical coordinates. Legendre polynomials were first introduced by Adrien-Marie Legendre in 1785 as coefficients in an expansion of Newtonian potential. The document covers topics such as Legendre polynomials, Rodrigues' formula, orthogonality of Legendre polynomials, and associated Legendre functions.
Fourier series can be used to represent periodic and discontinuous functions. The document discusses:
1. The Fourier series expansion of a sawtooth wave, showing how additional terms improve the accuracy of the representation.
2. How Fourier series are well-suited to represent periodic functions over intervals like [0,2π] since the basis functions are also periodic.
3. An example of using Fourier series to analyze a square wave, finding the coefficients for its expansion in terms of sines and cosines.
This document provides a table of contents for a textbook on vector analysis. The table of contents covers topics including: vector algebra, reciprocal sets of vectors, vector decomposition, scalar and vector fields, differential geometry, integration of vectors, and applications of vector analysis to fields such as electromagnetism and fluid mechanics. Many mathematical concepts are introduced, such as vector spaces, differential operators, vector differentiation and integration, and theorems relating concepts like divergence, curl and gradient.
Introduction to Classical Mechanics:
UNIT-I : Elementary survey of Classical Mechanics: Newtonian mechanics for single particle and system of particles, Types of the forces and the single particle system examples, Limitation of Newton’s program, conservation laws viz Linear momentum, Angular Momentum & Total Energy, work-energy theorem; open systems (with variable mass). Principle of Virtual work, D’Alembert’s principle’ applications.
UNIT-II : Constraints; Definition, Types, cause & effects, Need, Justification for realizing constraints on the system
This document discusses various coordinate systems used to define positions in satellite navigation. It describes geocentric systems like ECEF and ECI that use the Earth's center as the origin, as well as topocentric systems that use the observer's location. It also discusses spherical coordinate systems that define positions using radial distance, elevation and azimuth angles. Key systems covered include WGS-84 used in GPS and PZ-90.02 used in GLONASS. While definitions are close, realized coordinates between the two systems can differ by up to 0.5 meters.
This document defines rectangular, cylindrical, and spherical coordinate systems and describes how to transform vectors between the different coordinate systems using transformation matrices. It also discusses how to define volumes, surfaces, and lines within each coordinate system by specifying constant values for one or more of the coordinates. Finally, it provides an example of transforming a vector and point between the different coordinate systems and evaluating the vector components.
B.tech ii unit-5 material vector integrationRai University
This document discusses various vector integration topics:
1. It defines line, surface, and volume integrals and provides examples of evaluating each. Line integrals deal with vector fields along paths, surface integrals deal with vector fields over surfaces, and volume integrals deal with vector fields throughout a volume.
2. Green's theorem, Stokes' theorem, and Gauss's theorem are introduced as relationships between these types of integrals but their proofs are not shown.
3. Examples are provided to demonstrate evaluating line integrals of conservative and non-conservative vector fields, as well as a surface integral over a spherical surface.
This document discusses the Galerkin method for solving differential equations. It begins by introducing how engineering problems can be expressed as differential equations with boundary conditions. It then explains that the Galerkin method uses an approximation approach to find the function that satisfies the equations. The key steps of the Galerkin method are to introduce a trial solution as a linear combination of basis functions, choose weight functions, take the inner product of the residual and weight functions to generate a system of equations for the unknown coefficients, and solve this system to obtain the approximate solution. An example of applying the Galerkin method to solve a second order differential equation is also provided.
This document provides information about different coordinate systems including polar, cylindrical, Cartesian, and spherical coordinate systems. It describes key aspects of each system such as their components, definitions, relationships between variables in different systems, and applications. Real-world examples of how coordinate systems are used for map projections, global positioning systems, and air traffic control are also discussed.
Vector calculus is concerned with differentiation and integration of vector fields, primarily in 3D Euclidean space. It plays an important role in differential geometry and studying partial differential equations. Vector fields assign a vector to each point in a space to model things like fluid speed/direction or magnetic/gravitational forces. Vector calculus distinguishes between vector fields, pseudovector fields, scalar fields, and pseudoscalar fields.
Dielectrics are materials that have permanent electric dipole moments. All dielectrics are electrical insulators and are mainly used to store electrical energy by utilizing bound electric charges and dipoles within their molecular structure. Important properties of dielectrics include their electric intensity or field strength, electric flux density, dielectric parameters such as dielectric constant and electric dipole moment, and polarization processes including electronic, ionic, and orientation polarization. Dielectrics are characterized by their complex permittivity, which relates to their ability to transmit electric fields and is dependent on factors like frequency, temperature, and humidity that can influence dielectric losses.
Maxwells equation and Electromagnetic WavesA K Mishra
These slide contains Scalar,Vector fields ,gradients,Divergence,and Curl,Gauss divergence theorem,Stoks theorem,Maxwell electromagnetic equations ,Pointing theorem,Depth of penetration (Skin depth) for graduate and Engineering students and teachers.
This document discusses Lagrangian dynamics and Hamilton's principle. It begins by introducing important notation conventions used in the chapter. It then provides an overview of Hamilton's principle and how it can be used to derive Lagrange's equations of motion. This allows problems to be solved in a general manner even when forces are difficult to express or some constraints exist. Examples are provided, including deriving the equation of motion for a simple pendulum using both Cartesian and cylindrical coordinates. The concept of generalized coordinates is also introduced to represent the degrees of freedom of a system.
This document discusses integrals and their applications. It introduces integral calculus and its use in joining small pieces together to find amounts. It lists several types of integrals and mathematicians influential in integral calculus development like Euclid, Archimedes, Newton, and Riemann. The document also discusses applications of integration in business processes, automation tools for integrating disparate applications, and applications of very large scale integration circuit design.
Rutherford scattering & the scattering cross-sectionBisma Princezz
1) Rutherford performed an experiment where he bombarded a thin gold foil with alpha particles and observed that most passed through without deflection, some were deflected by small angles, and a few were deflected back.
2) This led Rutherford to propose an atomic model where the atom has a small, dense nucleus containing its mass and positive charge, surrounded by electrons in orbits.
3) This was a major departure from the previous "plum pudding" model where charge and mass were thought to be uniformly distributed. However, Rutherford's model failed to explain the stability of electron orbits.
Cauchy integral theorem & formula (complex variable & numerical method )Digvijaysinh Gohil
1) The document discusses the Cauchy Integral Theorem and Formula. It states that if a function f(z) is analytic inside and on a closed curve C, then the integral of f(z) around C is equal to 0.
2) It provides examples of evaluating integrals using the Cauchy Integral Theorem when the singularities lie outside the closed curve C.
3) The Cauchy Integral Formula is introduced, which expresses the value of an analytic function F(a) inside C as a contour integral around C. Examples are worked out applying this formula to find the value and derivatives of functions at points inside C.
1) The document provides an overview of classical mechanics, including definitions of key concepts like space, time, mass, and force. It summarizes Newton's three laws of motion and how they relate to concepts like momentum and inertia.
2) Key principles of classical mechanics are explained, such as reference frames, Newton's laws, and conservation of momentum. Vector operations and products are also defined.
3) Examples are given to illustrate fundamental principles, like Newton's third law and how it relates to conservation of momentum in systems with multiple objects. Coordinate systems are briefly introduced.
Numerical Methods - Power Method for Eigen valuesDr. Nirav Vyas
The document discusses the power method, an iterative method for estimating the largest or smallest eigenvalue and corresponding eigenvector of a matrix. It begins by introducing the power method and notes it is useful when a matrix's eigenvalues can be ordered by magnitude. It then provides the working rules for determining a matrix's largest eigenvalue using the power method, which involves iteratively computing the matrix-vector product and rescaling the vector. Finally, it includes an example applying the power method to estimate the largest eigenvalue and eigenvector of a 2x2 matrix.
1. The document discusses different coordinate systems including rectangular, cylindrical, and spherical coordinates. It defines scalar and vector fields and provides examples.
2. Key concepts covered include the dot product, cross product, gradient, divergence, curl, and Laplacian as they relate to vector and scalar fields in different coordinate systems.
3. Various coordinate transformations are demonstrated along with differential elements, line integrals, surface integrals and volume integrals in each system.
- A differential equation relates an independent variable, dependent variable, and derivatives of the dependent variable with respect to the independent variable.
- The order of a differential equation is the order of the highest derivative, and the degree is the degree of the highest derivative.
- Differential equations can be classified based on their order (first order vs higher order) and linearity (linear vs nonlinear).
- The general solution of a differential equation contains arbitrary constants, while a particular solution gives specific values for those constants.
This document discusses first order differential equations. It defines differential equations and classifies them as ordinary or partial based on whether they involve derivatives with respect to a single or multiple variables. First order differential equations are classified into four types: variable separable, homogeneous, linear, and exact. The document provides examples of each type and explains their general forms and solution methods like separating variables, making substitutions, and integrating.
The document discusses Legendre functions, which are solutions to Legendre's differential equation. Legendre functions arise when solving Laplace's equation in spherical coordinates. Legendre polynomials were first introduced by Adrien-Marie Legendre in 1785 as coefficients in an expansion of Newtonian potential. The document covers topics such as Legendre polynomials, Rodrigues' formula, orthogonality of Legendre polynomials, and associated Legendre functions.
Fourier series can be used to represent periodic and discontinuous functions. The document discusses:
1. The Fourier series expansion of a sawtooth wave, showing how additional terms improve the accuracy of the representation.
2. How Fourier series are well-suited to represent periodic functions over intervals like [0,2π] since the basis functions are also periodic.
3. An example of using Fourier series to analyze a square wave, finding the coefficients for its expansion in terms of sines and cosines.
This document provides a table of contents for a textbook on vector analysis. The table of contents covers topics including: vector algebra, reciprocal sets of vectors, vector decomposition, scalar and vector fields, differential geometry, integration of vectors, and applications of vector analysis to fields such as electromagnetism and fluid mechanics. Many mathematical concepts are introduced, such as vector spaces, differential operators, vector differentiation and integration, and theorems relating concepts like divergence, curl and gradient.
Introduction to Classical Mechanics:
UNIT-I : Elementary survey of Classical Mechanics: Newtonian mechanics for single particle and system of particles, Types of the forces and the single particle system examples, Limitation of Newton’s program, conservation laws viz Linear momentum, Angular Momentum & Total Energy, work-energy theorem; open systems (with variable mass). Principle of Virtual work, D’Alembert’s principle’ applications.
UNIT-II : Constraints; Definition, Types, cause & effects, Need, Justification for realizing constraints on the system
This document discusses various coordinate systems used to define positions in satellite navigation. It describes geocentric systems like ECEF and ECI that use the Earth's center as the origin, as well as topocentric systems that use the observer's location. It also discusses spherical coordinate systems that define positions using radial distance, elevation and azimuth angles. Key systems covered include WGS-84 used in GPS and PZ-90.02 used in GLONASS. While definitions are close, realized coordinates between the two systems can differ by up to 0.5 meters.
This document defines rectangular, cylindrical, and spherical coordinate systems and describes how to transform vectors between the different coordinate systems using transformation matrices. It also discusses how to define volumes, surfaces, and lines within each coordinate system by specifying constant values for one or more of the coordinates. Finally, it provides an example of transforming a vector and point between the different coordinate systems and evaluating the vector components.
14.6 triple integrals in cylindrical and spherical coordinatesEmiey Shaari
Triple Integrals in Cylindrical and Spherical Coordinates summarizes the process of converting between rectangular, cylindrical, and spherical coordinate systems and evaluating triple integrals using these alternative coordinate systems. It provides examples of converting between coordinate systems, finding equations for surfaces in different coordinates, and evaluating triple integrals over various regions using cylindrical and spherical coordinates.
This document discusses different coordinate systems used to describe points in 2D and 3D space, including polar, cylindrical, and spherical coordinates. It provides the key formulas for converting between Cartesian and these other coordinate systems. Examples are given of converting points and equations between the different coordinate systems. The key points are that polar coordinates use an angle and distance to specify a 2D point, cylindrical coordinates extend this to 3D using a z-value, and spherical coordinates specify a 3D point using a distance from the origin, an angle, and an azimuthal angle.
The document discusses the Cartesian coordinate plane and functions. It defines the Cartesian plane as being formed by two perpendicular number lines called the x-axis and y-axis that intersect at the origin (0,0). It describes how each point on the plane is associated with an ordered pair (x,y) denoting its coordinates and how the plane is divided into four quadrants. It then demonstrates how to plot various points on the plane by starting at the origin and moving right or left along the x-axis and up or down along the y-axis. Finally, it discusses relations and functions, defining a function as a relation where each x-value is mapped to only one y-value.
This document provides an overview of key concepts in multivariable calculus covered in MAT 10B at Williams College in Fall 2011, including:
1) Definitions and computations of double integrals, including over rectangles and more general regions, and Fubini's theorem on changing the order of integration.
2) Triple integrals as a generalization of double integrals to functions of three variables over boxes in R3.
3) Techniques for changing the order of integration in iterated integrals when one order may be more convenient than another.
This document discusses vector transformations and operations in three common coordinate systems: Cartesian, cylindrical, and spherical. It provides the formulas for differential length/volume elements, gradient, divergence, curl, and Laplacian in each system. Conversion formulas between the different coordinate representations of a vector are also outlined.
This document discusses electromagnetic field theory and computational electromagnetics. It introduces electromagnetic theory, which is divided into electrostatics, magnetostatics, and time-varying fields. Computational electromagnetics is presented as a way to numerically solve electromagnetic problems using computers. Different types of equation solvers are described, including integral equation solvers and differential equation solvers. General coordinate systems and transformations between coordinate systems are also covered.
The document summarizes the Divergence Theorem. It states that the theorem relates the integral of the divergence of a vector field F over a region E to the surface integral of F over the boundary S of E. Specifically, the theorem states that the flux of F across S is equal to the triple integral of the divergence of F over E, for a region E that is a simple solid region or a finite union of such regions, and when F has continuous partial derivatives on a region containing E. An example application to computing the flux of a vector field over a unit sphere is also provided.
Cartesian coordinates use a grid system to precisely locate points in space. A point is identified by its x and y coordinates, which indicate the distance from the origin point along the x-axis and y-axis. For example, the point (3,2) is located 3 units to the right of the origin along the x-axis and 2 units above the origin along the y-axis. The axes divide the plane into four quadrants, with points falling into different quadrants based on whether their x and y values are positive or negative. Cartesian coordinates provide a way to pinpoint locations using simple numbers.
This first lecture describes what EMT is. Its history of evolution. Main personalities how discovered theories relating to this theory. Applications of EMT . Scalars and vectors and there algebra. Coordinate systems. Field, Coulombs law and electric field intensity.volume charge distribution, electric flux density, gauss's law and divergence
Study of electromagnetics is for electric and magnetic fields. To understand those fields, we need to know the concept of vector and differential operators.
The velocity of a vector function is the absolute value of its tangent vector. The speed of a vector function is the length of its velocity vector, and the arc length (distance traveled) is the integral of speed.
This document provides steps for graphing a function based on analyzing its derivatives. It uses the function f(x) = 1/x + 2 as a detailed example. The steps are:
1) Find where the function is positive, negative, zero, and undefined
2) Analyze the first derivative f' to determine maxima/minima and intervals of increase/decrease
3) Analyze the second derivative f'' to determine concavity and points of inflection
4) Combine the analyses into a chart and graph the function
- A particle starts from the point with position vector (3i + 7j) m and then moves with constant velocity (2i – j) ms-1. The question asks to find the position vector of the particle 4 seconds later.
- Substituting the values into the displacement equation gives the final position vector as (12i + 3j) m.
- A second particle is given a position vector of (2i + 4j) m at time t = 0 and a position vector of (12i + 16j) m five seconds later. Using the displacement equation gives the velocity of the particle as (2i + 4j) ms-1.
- For a third particle
Lesson 17: The Mean Value Theorem and the shape of curvesMatthew Leingang
- The document discusses a math class lecture on March 14, 2008 that covered topics including the Mean Value Theorem, Rolle's Theorem, and using derivatives to determine if a function is increasing or decreasing on an interval.
- It provides announcements about an upcoming midterm being graded, problem sessions, and office hours. It also announces Pi day contests happening at 3:14 PM and 4 PM to recite digits of Pi and eat pie.
- The outline previews that the lecture will cover the Mean Value Theorem, Rolle's Theorem, why the MVT is useful, and using derivatives to sketch graphs and test for extremities. It also introduces the mathematician Pierre de Fermat.
This document discusses optimization problems and provides an example of finding the dimensions of a rectangle with maximum area given a fixed perimeter. It works through the solution step-by-step, introducing notation, expressing the objective function, using the constraint to eliminate one variable, and finding the critical point that gives the maximum area. The solution is that a square maximizes the area for a given perimeter. More examples on finding optimal dimensions subject to constraints are also provided.
The document discusses the relationships between polar and rectangular coordinates. It provides examples of converting between the two coordinate systems. Specifically, it shows:
1) Converting the polar point (-3, π/6) to rectangular coordinates (-3/2, -3/2)
2) Converting the polar point (10, 2π/9) to rectangular coordinates (approximately 7.66, 6.43)
3) Converting the rectangular points (10, -10) and (-4, 4√3) to polar coordinates (10, 7π/4) and (8, π/3) respectively.
The key relationships shown are that the x-coordinate in rectangular
This document provides an overview of polar coordinates and graphs. Some key points:
1) Polar coordinates represent points as (r, θ) where r is the distance from the origin and θ is the angle from the positive x-axis.
2) Points are plotted by first finding the angle θ then moving a distance of r units along the terminal side.
3) Formulas are provided to convert between polar and Cartesian coordinates.
4) Various types of curves can be represented using polar equations such as cardioids, limacons, lemniscates, and roses.
5) Symmetry properties of polar graphs are discussed.
This document provides an overview of polar coordinates including:
- Polar coordinates use (r, Θ) notation where r is the distance from the origin and Θ is the angle from the polar axis.
- Polar coordinates can be converted to rectangular coordinates using the equations x = r cos Θ and y = r sin Θ.
- Rectangular coordinates can be converted to polar coordinates by using the Pythagorean theorem to find r and trigonometric functions to find Θ.
- Examples are provided for converting between polar and rectangular coordinates.
The document discusses converting between polar and rectangular coordinates. Polar coordinates (r, θ) can be converted to rectangular (x, y) using x = r cosθ and y = r sinθ. Rectangular coordinates (x, y) can be converted to polar using r = √(x^2 + y^2) and θ = arctan(y/x), adding 180° to θ when x is negative. It provides examples of converting between polar and rectangular coordinate forms.
The document discusses quadric surfaces and spheres. It provides the general equation for quadric surfaces using Cartesian coordinates and coefficients. It describes how quadric surfaces are classified based on invariants including the ranks of matrices e and E and the determinant of E. Several specific types of quadric surfaces are defined by their invariants, including ellipsoids, hyperboloids, paraboloids, cylinders, cones, and planes. It also provides equations for spheres in standard, diameter, and four point forms, and describes how to derive the center and radius from the general quadratic equation of a sphere.
1. The document discusses triple integrals in spherical coordinates. A point in xyz space is characterized by spherical coordinates ρ, θ, and φ which are related to x, y, and z by equations that switch between rectangular and spherical coordinates.
2. A typical triple integral in spherical coordinates has the form of an integral with bounds of ρ from 0 to some value R, θ from 0 to 2π, and φ from 0 to π, integrating a function f(ρ, θ, φ) multiplied by the Jacobian ρ2sin(φ).
3. Switching between rectangular and spherical coordinates involves equations that express x, y, z in terms of ρ, θ, φ or vice versa
cylinderical and sperical co ordinate systems GK Arunachalam
The document discusses three coordinate systems - Cartesian, cylindrical, and spherical coordinates. It provides the equations to convert between the three systems, gives examples of basic surfaces defined in each system, and includes practice problems to convert coordinates between systems and change equations into different coordinate representations.
Triple integrals in cylindrical and spherical coordinates are useful for calculating volumes and integrals of circle-symmetric and sphere-symmetric regions. In cylindrical coordinates, the coordinates are (r, θ, z) where r is the distance from the z-axis, θ is the azimuthal angle, and z is the height. In spherical coordinates, the coordinates are (ρ, φ, θ) where ρ is the radial distance, φ is the azimuthal angle, and θ is the polar angle. Examples are provided for converting between rectangular, cylindrical, and spherical coordinates as well as setting up and evaluating triple integrals in these coordinate systems.
The document summarizes key concepts about coordinates and distance in flatland and spaceland:
- It introduces coordinate axes and how to place points in flatland and spaceland using coordinates.
- It covers the Pythagorean theorem and how to calculate distance between two points in flatland and spaceland.
- It describes how loci of points at a fixed distance from a fixed point form circles in flatland and spheres in spaceland.
- It provides an example of using an equation to represent a spherical surface in space.
This document discusses several basic trigonometric identities involving sines, cosines, and tangents. It provides examples of identities such as:
1) The Pythagorean identity, which states that for all theta, cos^2(θ) + sin^2(θ) = 1.
2) The opposites theorem, which describes trigonometric functions of -θ.
3) The supplements theorem, which relates trigonometric functions of θ to those of π - θ.
It also gives examples of applying various identities to evaluate trigonometric functions and solve trigonometric equations. Homework problems from the text are assigned.
This document provides an overview of lessons on polar coordinates from a Further Pure Mathematics II course. The lessons cover key concepts like plotting curves in polar form, converting between Cartesian and polar coordinates, determining maximum and minimum values of polar curves, and calculating areas bounded by polar curves. Example problems and practice questions are presented for each topic to help students learn the relevant formulas and skills.
This document provides an overview of 8 lessons on polar coordinates. The lessons cover key concepts like plotting curves in polar form, converting between Cartesian and polar coordinates, determining maximum/minimum values of polar curves, and calculating areas bounded by polar curves. Example problems and practice questions are presented for each topic to help students learn the 'classic' polar curve shapes and how to work with polar coordinates.
This document provides an overview of lessons on polar coordinates from a Further Pure Mathematics II course. The lessons cover key concepts like plotting curves in polar form, converting between Cartesian and polar coordinates, determining maximum and minimum values of polar curves, and calculating areas bounded by polar curves. Example problems and practice questions are presented for each topic to help students learn the relevant formulas and skills.
This document discusses different coordinate systems used to describe points in two-dimensional and three-dimensional spaces, including polar, cylindrical, and spherical coordinates. It provides the key formulas for converting between Cartesian and these other coordinate systems, and gives examples of performing these conversions as well as writing equations of basic geometric shapes in different coordinate systems.
The document provides instructions on graphing various types of polar equations, including linear equations, spirals, limacons, cardiods, roses, circles, and lemniscates. It gives examples of specific polar equations to graph for each type and provides guidance on settings like zoom levels. The final pages announce homework assignment #3 and an upcoming quiz.
Here are the key steps to solve quadratic equations:
1. Factorize the quadratic expression if possible. This allows using the zero product property.
2. Use the quadratic formula if factorizing is not possible:
x = (-b ± √(b^2 - 4ac)) / 2a
3. Solve for the roots. The roots are the values of x that make the quadratic equation equal to 0.
4. Check your solutions in the original equation to verify they are correct roots.
5. Determine the nature of the roots:
- If the discriminant (b^2 - 4ac) is greater than 0, there are two real distinct roots.
- If the discriminant
ROOT-LOCUS METHOD, Determine the root loci on the real axis /the asymptotes o...Waqas Afzal
Angle and Magnitude Conditions
Example of Root Locus
Steps
constructing a root-locus plot is to locate the open-loop poles and zeros in s-plane.
Determine the root loci on the real axis
Determine the asymptotes of the root loci
Determine the breakaway point.
Closed loop stability via root locus
This document provides guidance on developing effective lesson plans for calculus instructors. It recommends starting by defining specific learning objectives and assessments. Examples should be chosen carefully to illustrate concepts and engage students at a variety of levels. The lesson plan should include an introductory problem, definitions, theorems, examples, and group work. Timing for each section should be estimated. After teaching, the lesson can be improved by analyzing what was effective and what needs adjustment for the next time. Advanced preparation is key to looking prepared and ensuring students learn.
Streamlining assessment, feedback, and archival with auto-multiple-choiceMatthew Leingang
Auto-multiple-choice (AMC) is an open-source optical mark recognition software package built with Perl, LaTeX, XML, and sqlite. I use it for all my in-class quizzes and exams. Unique papers are created for each student, fixed-response items are scored automatically, and free-response problems, after manual scoring, have marks recorded in the same process. In the first part of the talk I will discuss AMC’s many features and why I feel it’s ideal for a mathematics course. My contributions to the AMC workflow include some scripts designed to automate the process of returning scored papers
back to students electronically. AMC provides an email gateway, but I have written programs to return graded papers via the DAV protocol to student’s dropboxes on our (Sakai) learning management systems. I will also show how graded papers can be archived, with appropriate metadata tags, into an Evernote notebook.
This document discusses electronic grading of paper assessments using PDF forms. Key points include:
- Various tools for creating fillable PDF forms using LaTeX packages or desktop software.
- Methods for stamping completed forms onto scanned documents including using pdftk or overlaying in TikZ.
- Options for grading on tablets or desktops including GoodReader, PDFExpert, Adobe Acrobat.
- Extracting data from completed forms can be done in Adobe Acrobat or via command line with pdftk.
Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
g(x) represents the area under the curve of f(t) between 0 and x.
.
x
What can you say about g? 2 4 6 8 10f
The First Fundamental Theorem of Calculus
Theorem (First Fundamental Theorem of Calculus)
Let f be a con nuous func on on [a, b]. Define the func on F on [a, b] by
∫ x
F(x) = f(t) dt
a
Then F is con nuous on [a, b] and differentiable on (a, b) and for all x in (a, b),
F′(x
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
The document discusses the Fundamental Theorem of Calculus, which has two parts. The first part states that if a function f is continuous on an interval, then the derivative of the integral of f is equal to f. This is proven using Riemann sums. The second part relates the integral of a function f to the integral of its derivative F'. Examples are provided to illustrate how the area under a curve relates to these concepts.
Lesson 27: Integration by Substitution (handout)Matthew Leingang
This document contains lecture notes on integration by substitution from a Calculus I class. It introduces the technique of substitution for both indefinite and definite integrals. For indefinite integrals, the substitution rule is presented, along with examples of using substitutions to evaluate integrals involving polynomials, trigonometric, exponential, and other functions. For definite integrals, the substitution rule is extended and examples are worked through both with and without first finding the indefinite integral. The document emphasizes that substitution often simplifies integrals and makes them easier to evaluate.
Lesson 26: The Fundamental Theorem of Calculus (handout)Matthew Leingang
1) The document discusses lecture notes on Section 5.4: The Fundamental Theorem of Calculus from a Calculus I course. 2) It covers stating and explaining the Fundamental Theorems of Calculus and using the first fundamental theorem to find derivatives of functions defined by integrals. 3) The lecture outlines the first fundamental theorem, which relates differentiation and integration, and gives examples of applying it.
This document contains notes from a calculus class lecture on evaluating definite integrals. It discusses using the evaluation theorem to evaluate definite integrals, writing derivatives as indefinite integrals, and interpreting definite integrals as the net change of a function over an interval. The document also contains examples of evaluating definite integrals, properties of integrals, and an outline of the key topics covered.
This document contains lecture notes from a Calculus I class covering Section 5.3 on evaluating definite integrals. The notes discuss using the Evaluation Theorem to calculate definite integrals, writing derivatives as indefinite integrals, and interpreting definite integrals as the net change of a function over an interval. Examples are provided to demonstrate evaluating definite integrals using the midpoint rule approximation. Properties of integrals such as additivity and the relationship between definite and indefinite integrals are also outlined.
Lesson 24: Areas and Distances, The Definite Integral (handout)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
Lesson 24: Areas and Distances, The Definite Integral (slides)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
This document contains lecture notes from a Calculus I class discussing optimization problems. It begins with announcements about upcoming exams and courses the professor is teaching. It then presents an example problem about finding the rectangle of a fixed perimeter with the maximum area. The solution uses calculus techniques like taking the derivative to find the critical points and determine that the optimal rectangle is a square. The notes discuss strategies for solving optimization problems and summarize the key steps to take.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
The document discusses curve sketching of functions by analyzing their derivatives. It provides:
1) A checklist for graphing a function which involves finding where the function is positive/negative/zero, its monotonicity from the first derivative, and concavity from the second derivative.
2) An example of graphing the cubic function f(x) = 2x^3 - 3x^2 - 12x through analyzing its derivatives.
3) Explanations of the increasing/decreasing test and concavity test to determine monotonicity and concavity from a function's derivatives.
The document contains lecture notes on curve sketching from a Calculus I class. It discusses using the first and second derivative tests to determine properties of a function like monotonicity, concavity, maxima, minima, and points of inflection in order to sketch the graph of the function. It then provides an example of using these tests to sketch the graph of the cubic function f(x) = 2x^3 - 3x^2 - 12x.
Lesson 20: Derivatives and the Shapes of Curves (slides)Matthew Leingang
This document contains lecture notes on derivatives and the shapes of curves from a Calculus I class taught by Professor Matthew Leingang at New York University. The notes cover using derivatives to determine the intervals where a function is increasing or decreasing, classifying critical points as maxima or minima, using the second derivative to determine concavity, and applying the first and second derivative tests. Examples are provided to illustrate finding intervals of monotonicity for various functions.
Lesson 20: Derivatives and the Shapes of Curves (handout)Matthew Leingang
This document contains lecture notes on calculus from a Calculus I course. It covers determining the monotonicity of functions using the first derivative test. Key points include using the sign of the derivative to determine if a function is increasing or decreasing over an interval, and using the first derivative test to classify critical points as local maxima, minima, or neither. Examples are provided to demonstrate finding intervals of monotonicity for various functions and applying the first derivative test.
How to Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
3. Why different coordinate systems?
The dimension of space comes from nature
The measurement of space comes from us
Different coordinate systems are different ways to measure
space
5. Polar Coordinates
Conversion from polar to
cartesian (rectangular)
x = r cos θ
y = r sin θ
r Conversion from cartesian to
y
θ polar:
x
r= x2 + y2
x y y
cos θ = sin θ = tan θ =
r r x
6. Example: Polar to Rectangular
Example
Find the rectangular coordinates of the point with polar
√
coordinates ( 2, 5π/4).
7. Example: Polar to Rectangular
Example
Find the rectangular coordinates of the point with polar
√
coordinates ( 2, 5π/4).
Solution
We have
√ √ −1
x= 2 √ = −1
2 cos (5π/4) =
2
√ √ −1
y = 2 sin (5π/4) = 2 √ = −1
2
8. Example: Rectangular to Polar
Example
Find the polar coordinates of the point with rectangular
√
coordinates ( 3, 1).
9. Example: Rectangular to Polar
Example
Find the polar coordinates of the point with rectangular
√
coordinates ( 3, 1).
Solution √ √
We have r = 3+1= 4 = 2, and
√
3 1
cos θ = sin θ =
2 2
This is satisfies by θ = π/6.
12. Cylindrical Coordinates
Just add the vertical dimension
Conversion from cylindrical to
cartesian (rectangular):
x = r cos θ y = r sin θ
z =z
Conversion from cartesian to
cylindrical:
r = x2 + y2
x y y
cos θ = sin θ = tan θ =
r r x
z =z
15. Spherical Coordinates
like the earth, but not exactly
Conversion from spherical to
cartesian (rectangular):
x = ρ sin ϕ cos θ
y = ρ sin ϕ sin θ
z = ρ cos ϕ
Conversion from cartesian to
spherical:
r= x2 + y2 ρ = x2 + y2 + z2
x y y
cos θ = sin θ = tan θ =
Note: In this picture, r should r r x
be ρ. z
cos ϕ =
ρ
16. Examples
Example
Find the spherical coordinates of the point with rectangular
√ √
coordinates ( 2, −2, 3).
17. Examples
Example
Find the spherical coordinates of the point with rectangular
√ √
coordinates ( 2, −2, 3).
Answer
1 1
3, 2π − arccos √ , arccos √
3 3
18. Examples
Example
Find the spherical coordinates of the point with rectangular
√ √
coordinates ( 2, −2, 3).
Answer
1 1
3, 2π − arccos √ , arccos √
3 3
Example
Find the rectangular coordinates of the point with spherical
coordinates (2, π/6, 2π/3).
19. Examples
Example
Find the spherical coordinates of the point with rectangular
√ √
coordinates ( 2, −2, 3).
Answer
1 1
3, 2π − arccos √ , arccos √
3 3
Example
Find the rectangular coordinates of the point with spherical
coordinates (2, π/6, 2π/3).
Answer
√ √ √ √
3 3 3 1 −1 3 3
2· · ,2 · · ,2 · = , , −1
2 2 2 2 2 2 2