1. The document provides information on multiple integrals including double integrals, triple integrals, and integrals in spherical and cylindrical coordinates. It defines each type of integral and gives their general formulas.
2. Examples are provided for calculating double and triple integrals over different regions in rectangular, cylindrical, and spherical coordinate systems. The order of integration can be changed by considering strips or slices of the region.
3. Properties of the integrals include applying Fubini's theorem to change the order of integration, and relating the triple integral over a region to the double integral over the bounds and integrating over the third variable.
This document provides an overview of key concepts in vector calculus and linear algebra, including:
- The gradient of a scalar field, which describes the direction of steepest ascent/descent.
- Curl, which describes infinitesimal rotation of a 3D vector field.
- Divergence, which measures the magnitude of a vector field's source or sink.
- Solenoidal fields have zero divergence, while irrotational fields have zero curl.
- The directional derivative describes the rate of change of a function at a point in a given direction.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
This document discusses how vectors are used in 2D and 3D gaming. Vectors store positions, directions, and velocities of objects in games. They allow for modeling movement over time by adding velocities to positions and applying accelerations. Vector addition, subtraction, and calculating length are used for tasks like determining the path of projectiles and calculating damage. Vector graphics use control points and strokes defined by vectors to render graphics efficiently at variable sizes. 3D graphics similarly use vectors to define triangle meshes that are rendered to create 3D scenes.
Verification of Solenoidal & IrrotationalMdAlAmin187
This document discusses vector analysis and defines solenoidal and irrotational vector functions. It provides examples to verify whether specific vector functions are solenoidal or irrotational. Specifically:
It defines key concepts in vector analysis including vectors, vector operations, and vector-valued functions. It then discusses the history and development of vector analysis.
It defines a solenoidal (divergence-free) vector function as one where the divergence is equal to zero. An example verifies that a given vector function is not solenoidal.
It defines an irrotational (curl-free) vector function as one where the curl is equal to zero. An example verifies that a given vector function is irrotational
1. The document discusses vector calculus concepts including the gradient, divergence, curl, and theorems relating integrals.
2. It defines the curl of a vector field A as the maximum circulation of A per unit area and provides expressions for curl in Cartesian, cylindrical and spherical coordinates.
3. Stokes's theorem is described as relating a line integral around a closed path to a surface integral of the curl over the enclosed surface, allowing transformation between different integral types.
Second order homogeneous linear differential equations Viraj Patel
1) The document discusses second order linear homogeneous differential equations, which have the general form P(x)y'' + Q(x)y' + R(x)y = 0.
2) It describes methods for finding the general solution including reduction of order, and discusses the solutions when the coefficients are constants.
3) The general solution depends on the nature of the roots of the auxiliary equation: distinct real roots, repeated real roots, or complex roots.
The continuity equation describes the distribution of electrons and holes in a semiconductor when there is generation, recombination, and carrier movement. It states that the rate of change of carriers inside the semiconductor equals the rate entering minus the rate leaving, plus the rate of generation minus the rate of recombination. The continuity equation is derived by considering the carrier flux into and out of an infinitesimal volume of the semiconductor. Under certain approximations, the continuity equation can be simplified to the minority carrier diffusion equations, which describe the behavior of excess carriers in the semiconductor.
1. The document provides information on multiple integrals including double integrals, triple integrals, and integrals in spherical and cylindrical coordinates. It defines each type of integral and gives their general formulas.
2. Examples are provided for calculating double and triple integrals over different regions in rectangular, cylindrical, and spherical coordinate systems. The order of integration can be changed by considering strips or slices of the region.
3. Properties of the integrals include applying Fubini's theorem to change the order of integration, and relating the triple integral over a region to the double integral over the bounds and integrating over the third variable.
This document provides an overview of key concepts in vector calculus and linear algebra, including:
- The gradient of a scalar field, which describes the direction of steepest ascent/descent.
- Curl, which describes infinitesimal rotation of a 3D vector field.
- Divergence, which measures the magnitude of a vector field's source or sink.
- Solenoidal fields have zero divergence, while irrotational fields have zero curl.
- The directional derivative describes the rate of change of a function at a point in a given direction.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
This document discusses how vectors are used in 2D and 3D gaming. Vectors store positions, directions, and velocities of objects in games. They allow for modeling movement over time by adding velocities to positions and applying accelerations. Vector addition, subtraction, and calculating length are used for tasks like determining the path of projectiles and calculating damage. Vector graphics use control points and strokes defined by vectors to render graphics efficiently at variable sizes. 3D graphics similarly use vectors to define triangle meshes that are rendered to create 3D scenes.
Verification of Solenoidal & IrrotationalMdAlAmin187
This document discusses vector analysis and defines solenoidal and irrotational vector functions. It provides examples to verify whether specific vector functions are solenoidal or irrotational. Specifically:
It defines key concepts in vector analysis including vectors, vector operations, and vector-valued functions. It then discusses the history and development of vector analysis.
It defines a solenoidal (divergence-free) vector function as one where the divergence is equal to zero. An example verifies that a given vector function is not solenoidal.
It defines an irrotational (curl-free) vector function as one where the curl is equal to zero. An example verifies that a given vector function is irrotational
1. The document discusses vector calculus concepts including the gradient, divergence, curl, and theorems relating integrals.
2. It defines the curl of a vector field A as the maximum circulation of A per unit area and provides expressions for curl in Cartesian, cylindrical and spherical coordinates.
3. Stokes's theorem is described as relating a line integral around a closed path to a surface integral of the curl over the enclosed surface, allowing transformation between different integral types.
Second order homogeneous linear differential equations Viraj Patel
1) The document discusses second order linear homogeneous differential equations, which have the general form P(x)y'' + Q(x)y' + R(x)y = 0.
2) It describes methods for finding the general solution including reduction of order, and discusses the solutions when the coefficients are constants.
3) The general solution depends on the nature of the roots of the auxiliary equation: distinct real roots, repeated real roots, or complex roots.
The continuity equation describes the distribution of electrons and holes in a semiconductor when there is generation, recombination, and carrier movement. It states that the rate of change of carriers inside the semiconductor equals the rate entering minus the rate leaving, plus the rate of generation minus the rate of recombination. The continuity equation is derived by considering the carrier flux into and out of an infinitesimal volume of the semiconductor. Under certain approximations, the continuity equation can be simplified to the minority carrier diffusion equations, which describe the behavior of excess carriers in the semiconductor.
This document provides two examples of using double and triple integrals to calculate the moment of inertia and volume of solids. The first example calculates the moment of inertia of a solid inside a cylinder using cylindrical coordinates. The second example finds the volume of a solid inside a sphere and outside a cone using spherical coordinates. It converts the equations to spherical coordinates and sets up the integral to evaluate the volume.
Laurent's Series & Types of SingularitiesAakash Singh
This document discusses Laurent series and types of singularities. It begins by introducing Laurent series as a generalization of Taylor series that can be used when functions are not analytic at a point. It then defines the different types of singularities a function can have - isolated singularities, poles, removable singularities, and essential singularities - based on the behavior of the function's Laurent series near that point. Examples are provided to illustrate each type of singularity. The document concludes by thanking the reader.
The document defines and provides properties of gradient, divergence, and curl - three important vector operators in multi-variable calculus. Gradient is defined as the maximum rate of change of a scalar function in space. Divergence measures how a vector field spreads out from a point, with zero divergence indicating a solenoidal (non-spreading) field. Curl measures the maximum rotation of a vector field around a point, with zero curl indicating an irrotational (non-rotating) field. Stokes' theorem relates the circulation of a vector field around a closed path to the surface integral of the curl over the enclosed surface.
Newton's forward and backward interpolation are methods for estimating the value of a function between known data points. Newton's forward interpolation uses a formula to calculate successive differences between the y-values of known x-values to estimate y-values for unknown x-values greater than the last known x-value. Newton's backward interpolation similarly uses differences but to estimate y-values for unknown x-values less than the first known x-value. The document provides an example of using Newton's forward formula to find the estimated y-value of 0.5 given a table of x and y pairs, calculating the differences and plugging into the formula. It also works through an example of Newton's backward interpolation to estimate the y-value at
The document discusses vector calculus concepts including:
1) Coordinate systems used in vector calculus problems including rectangular, cylindrical, and spherical coordinates.
2) How to write vectors and their components in each coordinate system.
3) Relationships between vectors in different coordinate systems using transformation matrices.
4) Concepts of gradient, divergence, and curl and their definitions and representations in different coordinate systems.
5) Theorems relating integrals, including the divergence theorem and Stokes' theorem.
1) Stokes' theorem relates a surface integral over a surface S to a line integral around the boundary curve of S. It states that the line integral of a vector field F around a closed curve C that forms the boundary of a surface S is equal to the surface integral of the curl of F over the surface S.
2) In Example 1, Stokes' theorem is used to evaluate a line integral around an elliptical curve C by calculating the corresponding surface integral over the elliptical region S bounded by C.
3) In Example 2, Stokes' theorem is again used, this time to evaluate a line integral around a circular curve C by calculating the surface integral over the part of a sphere bounded by C.
The three terminals of the FET are known as Gate, Drain, and Source.
It is a voltage controlled device, where the input voltage controls by the output current.
In FET current used to flow between the drain and the source terminal. And this current can be controlled by applying the voltage between the gate and the source terminal.
So this applied voltage generate the electric field within the device and by controlling these electric field we can control the flow of current through the device.
Homogeneous function is one with multiplicative scaling behaviour - if all its arguments are multiplied by a factor, then its value is multiplied by some power of this factor.
This document discusses methods for calculating the volume of solids of revolution generated by rotating plane regions about lines. It covers the disk and washer methods for rotation about axes in the plane of the region. Formulas are provided for calculating volumes of revolution in Cartesian, parametric, and polar coordinate systems by integrating the area of thin cross-sectional disks/washers. Several examples demonstrate applying these formulas to find the volumes of solids generated by rotating curves like ellipses, lines, and cardioids.
This document discusses the Gamma and Beta functions. It defines them using improper definite integrals and notes they are special transcendental functions. The Gamma function was introduced by Euler and both functions have applications in areas like number theory and physics. The document provides properties of each function and examples of evaluating integrals using their definitions and relations.
This document discusses the key principles of quantum physics including:
(1) The wave-particle duality of microparticles like electrons described by de Broglie's equation.
(2) Energy quantization described by Planck's equation.
(3) Heisenberg's uncertainty principle.
It describes how Schrodinger's equation is used to model the wave-like behavior of electrons in solids. The energy and behavior of electrons is quantized based on solutions to Schrodinger's equation under different boundary conditions, such as electrons confined in a potential well or interacting with a potential barrier. Quantum theory was needed to fully explain properties of electrons in solids and failures of classical free electron theory
This document provides an overview of the Junction Field Effect Transistor (JFET). It discusses the construction of JFETs including the source, drain and gate terminals. It describes the theory of operation explaining how applying voltages to the gate can control the channel and current flow. The key sections outline the characteristic I-V curve, pinch-off voltage, saturation level and cut-off voltage. Advantages of JFETs are also summarized such as high input impedance. Common applications are listed including use as amplifiers and constant current sources.
1. The document provides information on multiple integrals including double integrals, triple integrals, and integrals in spherical and cylindrical coordinates. It defines each type of integral and gives their general formulas.
2. Examples are provided for calculating double and triple integrals over different regions in rectangular, cylindrical, and spherical coordinate systems. The order of integration can be changed by considering strips or slices of the region.
3. Properties of the integrals include using Fubini's theorem to change the order of integration, and relating volume integrals to iterated integrals over the region.
- The Laplace transform is a linear operator that transforms a function of time (f(t)) into a function of complex frequency (F(s)). It was developed from the work of mathematicians like Euler, Lagrange, and Laplace.
- The Laplace transform has many applications in fields like semiconductor mobility, wireless network call completion, vehicle vibration analysis, and modeling electric and magnetic fields. It allows transforming differential equations into algebraic equations that are easier to solve.
- For example, in semiconductors with varying material layers, the Laplace transform can relate the conductivity tensor to the Laplace transforms of electron and hole densities, enabling the determination of key properties like carrier concentration and mobility in each layer.
This document discusses CURL and its applications in vector fields. CURL describes the tendency of a fluid to cause rotation and was introduced by physicist James Clerk Maxwell. The CURL of a velocity field F measures how a fluid would turn an inserted paddle device. A flow with zero CURL is considered irrotational without vortices. DIVERGENCE describes the flux of a vector field through a surface, indicating fluid sources and sinks. For incompressible fluids, the DIVERGENCE is zero with no change in density. CURL and DIVERGENCE provide physical insight into fluid motion and flows.
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 summarizes problems involving the Fermi-Dirac distribution function. It includes:
1) Calculating the velocity of electrons at the Fermi level for potassium, which is 2.1eV.
2) Computing the probability of an energy level 0.01eV below the Fermi level being unoccupied, which is 0.405.
3) Finding the probabilities of electronic states being occupied that are 0.11eV above and below the Fermi level, which are 0.0126 and 0.987 respectively.
4) Evaluating the Fermi function for an energy level kT above the Fermi energy, which is 0.269.
5) Demonstrating
This document provides an overview of complex analysis, including:
1) Limits and their uniqueness in complex analysis, such as the limit of a function f(z) as z approaches z0.
2) The definition of a continuous function in complex analysis as one where the limit exists at each point in the domain and equals the function value.
3) Analytic functions, which are differentiable in some neighborhood of each point in their domain.
The document discusses the superposition theorem. It defines superposition theorem as stating that the voltage or current through an element of a linear, bilateral network with multiple sources is equivalent to the summation of the voltage or current across that element generated independently by each source. It lists the conditions for applying superposition theorem as the circuit elements being linear and the sources being independent. It provides steps for using superposition theorem which involve solving the circuit for each source independently and then summing the contributions. An example problem demonstrates using superposition theorem to find the total current in a circuit. Finally, it discusses an application of superposition theorem in separating contributions of DC and AC sources.
This document provides an overview of key concepts in vector calculus and linear algebra, including:
- The gradient of a scalar field, which describes the direction of maximum change.
- Curl, which characterizes infinitesimal rotation of a 3D vector field.
- Divergence, which measures the magnitude of a vector field's source or sink.
- Solenoidal fields have null divergence, while irrotational fields have null curl.
- The directional derivative describes the rate of change of a function at a point in a given direction.
The document summarizes key concepts in vector calculus and linear algebra including:
- The gradient of a scalar field describes the direction of steepest ascent/descent and is defined as the vector of partial derivatives.
- Curl describes infinitesimal rotation of a 3D vector field and is defined as the cross product of the del operator and the vector field.
- Divergence measures the magnitude of a vector field's source or sink and is defined as the del operator dotted with the vector field.
- Solenoidal fields have zero divergence and irrotational fields have zero curl. The curl of a gradient is always zero and the divergence of a curl is always zero.
This document provides two examples of using double and triple integrals to calculate the moment of inertia and volume of solids. The first example calculates the moment of inertia of a solid inside a cylinder using cylindrical coordinates. The second example finds the volume of a solid inside a sphere and outside a cone using spherical coordinates. It converts the equations to spherical coordinates and sets up the integral to evaluate the volume.
Laurent's Series & Types of SingularitiesAakash Singh
This document discusses Laurent series and types of singularities. It begins by introducing Laurent series as a generalization of Taylor series that can be used when functions are not analytic at a point. It then defines the different types of singularities a function can have - isolated singularities, poles, removable singularities, and essential singularities - based on the behavior of the function's Laurent series near that point. Examples are provided to illustrate each type of singularity. The document concludes by thanking the reader.
The document defines and provides properties of gradient, divergence, and curl - three important vector operators in multi-variable calculus. Gradient is defined as the maximum rate of change of a scalar function in space. Divergence measures how a vector field spreads out from a point, with zero divergence indicating a solenoidal (non-spreading) field. Curl measures the maximum rotation of a vector field around a point, with zero curl indicating an irrotational (non-rotating) field. Stokes' theorem relates the circulation of a vector field around a closed path to the surface integral of the curl over the enclosed surface.
Newton's forward and backward interpolation are methods for estimating the value of a function between known data points. Newton's forward interpolation uses a formula to calculate successive differences between the y-values of known x-values to estimate y-values for unknown x-values greater than the last known x-value. Newton's backward interpolation similarly uses differences but to estimate y-values for unknown x-values less than the first known x-value. The document provides an example of using Newton's forward formula to find the estimated y-value of 0.5 given a table of x and y pairs, calculating the differences and plugging into the formula. It also works through an example of Newton's backward interpolation to estimate the y-value at
The document discusses vector calculus concepts including:
1) Coordinate systems used in vector calculus problems including rectangular, cylindrical, and spherical coordinates.
2) How to write vectors and their components in each coordinate system.
3) Relationships between vectors in different coordinate systems using transformation matrices.
4) Concepts of gradient, divergence, and curl and their definitions and representations in different coordinate systems.
5) Theorems relating integrals, including the divergence theorem and Stokes' theorem.
1) Stokes' theorem relates a surface integral over a surface S to a line integral around the boundary curve of S. It states that the line integral of a vector field F around a closed curve C that forms the boundary of a surface S is equal to the surface integral of the curl of F over the surface S.
2) In Example 1, Stokes' theorem is used to evaluate a line integral around an elliptical curve C by calculating the corresponding surface integral over the elliptical region S bounded by C.
3) In Example 2, Stokes' theorem is again used, this time to evaluate a line integral around a circular curve C by calculating the surface integral over the part of a sphere bounded by C.
The three terminals of the FET are known as Gate, Drain, and Source.
It is a voltage controlled device, where the input voltage controls by the output current.
In FET current used to flow between the drain and the source terminal. And this current can be controlled by applying the voltage between the gate and the source terminal.
So this applied voltage generate the electric field within the device and by controlling these electric field we can control the flow of current through the device.
Homogeneous function is one with multiplicative scaling behaviour - if all its arguments are multiplied by a factor, then its value is multiplied by some power of this factor.
This document discusses methods for calculating the volume of solids of revolution generated by rotating plane regions about lines. It covers the disk and washer methods for rotation about axes in the plane of the region. Formulas are provided for calculating volumes of revolution in Cartesian, parametric, and polar coordinate systems by integrating the area of thin cross-sectional disks/washers. Several examples demonstrate applying these formulas to find the volumes of solids generated by rotating curves like ellipses, lines, and cardioids.
This document discusses the Gamma and Beta functions. It defines them using improper definite integrals and notes they are special transcendental functions. The Gamma function was introduced by Euler and both functions have applications in areas like number theory and physics. The document provides properties of each function and examples of evaluating integrals using their definitions and relations.
This document discusses the key principles of quantum physics including:
(1) The wave-particle duality of microparticles like electrons described by de Broglie's equation.
(2) Energy quantization described by Planck's equation.
(3) Heisenberg's uncertainty principle.
It describes how Schrodinger's equation is used to model the wave-like behavior of electrons in solids. The energy and behavior of electrons is quantized based on solutions to Schrodinger's equation under different boundary conditions, such as electrons confined in a potential well or interacting with a potential barrier. Quantum theory was needed to fully explain properties of electrons in solids and failures of classical free electron theory
This document provides an overview of the Junction Field Effect Transistor (JFET). It discusses the construction of JFETs including the source, drain and gate terminals. It describes the theory of operation explaining how applying voltages to the gate can control the channel and current flow. The key sections outline the characteristic I-V curve, pinch-off voltage, saturation level and cut-off voltage. Advantages of JFETs are also summarized such as high input impedance. Common applications are listed including use as amplifiers and constant current sources.
1. The document provides information on multiple integrals including double integrals, triple integrals, and integrals in spherical and cylindrical coordinates. It defines each type of integral and gives their general formulas.
2. Examples are provided for calculating double and triple integrals over different regions in rectangular, cylindrical, and spherical coordinate systems. The order of integration can be changed by considering strips or slices of the region.
3. Properties of the integrals include using Fubini's theorem to change the order of integration, and relating volume integrals to iterated integrals over the region.
- The Laplace transform is a linear operator that transforms a function of time (f(t)) into a function of complex frequency (F(s)). It was developed from the work of mathematicians like Euler, Lagrange, and Laplace.
- The Laplace transform has many applications in fields like semiconductor mobility, wireless network call completion, vehicle vibration analysis, and modeling electric and magnetic fields. It allows transforming differential equations into algebraic equations that are easier to solve.
- For example, in semiconductors with varying material layers, the Laplace transform can relate the conductivity tensor to the Laplace transforms of electron and hole densities, enabling the determination of key properties like carrier concentration and mobility in each layer.
This document discusses CURL and its applications in vector fields. CURL describes the tendency of a fluid to cause rotation and was introduced by physicist James Clerk Maxwell. The CURL of a velocity field F measures how a fluid would turn an inserted paddle device. A flow with zero CURL is considered irrotational without vortices. DIVERGENCE describes the flux of a vector field through a surface, indicating fluid sources and sinks. For incompressible fluids, the DIVERGENCE is zero with no change in density. CURL and DIVERGENCE provide physical insight into fluid motion and flows.
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 summarizes problems involving the Fermi-Dirac distribution function. It includes:
1) Calculating the velocity of electrons at the Fermi level for potassium, which is 2.1eV.
2) Computing the probability of an energy level 0.01eV below the Fermi level being unoccupied, which is 0.405.
3) Finding the probabilities of electronic states being occupied that are 0.11eV above and below the Fermi level, which are 0.0126 and 0.987 respectively.
4) Evaluating the Fermi function for an energy level kT above the Fermi energy, which is 0.269.
5) Demonstrating
This document provides an overview of complex analysis, including:
1) Limits and their uniqueness in complex analysis, such as the limit of a function f(z) as z approaches z0.
2) The definition of a continuous function in complex analysis as one where the limit exists at each point in the domain and equals the function value.
3) Analytic functions, which are differentiable in some neighborhood of each point in their domain.
The document discusses the superposition theorem. It defines superposition theorem as stating that the voltage or current through an element of a linear, bilateral network with multiple sources is equivalent to the summation of the voltage or current across that element generated independently by each source. It lists the conditions for applying superposition theorem as the circuit elements being linear and the sources being independent. It provides steps for using superposition theorem which involve solving the circuit for each source independently and then summing the contributions. An example problem demonstrates using superposition theorem to find the total current in a circuit. Finally, it discusses an application of superposition theorem in separating contributions of DC and AC sources.
This document provides an overview of key concepts in vector calculus and linear algebra, including:
- The gradient of a scalar field, which describes the direction of maximum change.
- Curl, which characterizes infinitesimal rotation of a 3D vector field.
- Divergence, which measures the magnitude of a vector field's source or sink.
- Solenoidal fields have null divergence, while irrotational fields have null curl.
- The directional derivative describes the rate of change of a function at a point in a given direction.
The document summarizes key concepts in vector calculus and linear algebra including:
- The gradient of a scalar field describes the direction of steepest ascent/descent and is defined as the vector of partial derivatives.
- Curl describes infinitesimal rotation of a 3D vector field and is defined as the cross product of the del operator and the vector field.
- Divergence measures the magnitude of a vector field's source or sink and is defined as the del operator dotted with the vector field.
- Solenoidal fields have zero divergence and irrotational fields have zero curl. The curl of a gradient is always zero and the divergence of a curl is always zero.
This document provides an overview of key concepts in vector calculus and linear algebra, including:
- The gradient of a scalar field, which describes the direction of steepest ascent/descent.
- Curl, which describes infinitesimal rotation of a 3D vector field.
- Divergence, which measures the magnitude of a vector field's source or sink.
- Solenoidal fields have zero divergence, while irrotational fields have zero curl.
- The directional derivative describes the rate of change of a function in a specified direction.
This document provides an overview of functions of several variables. It discusses notation for functions with multiple independent variables, domains of such functions, and graphs of functions with two or more variables. Specifically, it gives examples of finding the domain of functions defined by equations, sketching the graph of a function as a surface in 3D space using traces in coordinate planes and parallel planes, and creating a contour map using level curves representing different values of the dependent variable.
1) The derivative of a vector function v(t) is defined as the vector v'(t) which is obtained by taking the derivative of each component separately.
2) Partial derivatives of a vector function with respect to variables t1, ..., tn are defined by taking the derivative of each component.
3) Curl and divergence are vector differential operators that operate on vector fields. Curl produces a vector field while divergence produces a scalar field.
Satyabama niversity questions in vectorSelvaraj John
1. The document contains questions related to vector calculus concepts like gradient, divergence, curl, directional derivative, and theorems like Gauss Divergence theorem, Green's theorem, and Stokes' theorem.
2. It asks to find gradients, directional derivatives, and curls of vector functions, verify vector functions are solenoidal or irrotational, and apply the theorems to verify various vector field integrals.
3. There are over 30 questions in total, asking to apply various vector calculus concepts and theorems.
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The document discusses convolution and its applications in imaging. Convolution describes how one function is modified by another function. In imaging, the point spread function (PSF) describes how a point object is blurred by the imaging system. The image formation process can be described as the convolution of the object with the PSF plus noise. Fourier analysis is useful because convolution in the spatial domain is equivalent to multiplication in the frequency domain. This allows filtering techniques to be used to modify images. Examples are provided of using Fourier analysis to determine the PSF and modulation transfer function of an imaging system.
The document discusses multi-variable functions and how to visualize them. It defines Rn as the set of n-tuples of real numbers. A n-variable real valued function maps from Rn to the real numbers. Level curves are used to visualize functions of two variables by setting z equal to constants and plotting the resulting equations in the x-y plane. This produces families of curves that depict the shape of the surface. Examples show how different functions produce different level curve shapes like ellipses, hyperbolas or parabolas.
The document discusses key concepts in vector calculus including gradient, divergence, curl, and vector integral theorems. Gradient defines the directional derivative of a scalar function, divergence measures how a vector field spreads out from a point, and curl describes the curl of a vector field. Vector integrals such as line, surface, and volume integrals are also introduced. Important vector integral theorems like Gauss's divergence theorem, Green's theorem, and Stokes' theorem relating different integral types are covered.
This document discusses multivariable functions and partial derivatives. It begins by describing how to visualize and graph multivariable functions. It then defines partial derivatives and provides rules for finding them. Partial derivatives can be interpreted geometrically as the slopes of tangent lines to traces of the graph. The document also discusses level curves and using them to understand the shape of a multivariable function graph. It provides examples of computing and interpreting partial derivatives.
This document introduces vector fields and defines scalar and vector fields. It defines a vector field F over a planar region D as a function that assigns a vector to each point, given by the components P and Q. Similarly, a vector field over a spatial region E is given by components P, Q, and R. Examples of vector fields include velocity fields and gravitational and electric force fields. It also defines the gradient of a scalar field, divergence and curl of a vector field, and discusses integral calculations for scalar and vector fields along curves.
This document introduces calculus concepts like differentiation and gradients. It discusses:
- Calculating the gradient of a curve at a point from two given points on the curve.
- Using limits to find the gradient of a tangent line as another point on the curve approaches the point of tangency.
- Differentiating polynomials from first principles by considering small changes in x and y.
- Noting that the derivative of x^n is nx^{n-1} and the derivative of ax^n is anx^{n-1}.
- Introducing concepts like the second derivative and using derivatives to find equations of tangents and normals to curves.
This document outlines the contents of a Mathematics II course, including five units: vector calculus, Fourier series and Fourier transforms, interpolation and curve fitting, solutions to algebraic/transcendental equations and linear systems of equations, and numerical integration and solutions to differential equations. It lists three textbooks and four references used in the course. It then provides examples and explanations of key concepts from the first two units, including vector differential operators, gradient, divergence, curl, and Fourier series representations of functions.
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.
This document discusses vector calculus concepts including curl, divergence, and the Laplace operator. It defines curl as the cross product of the del operator with a vector field, and gives an example calculation. Curl measures rotation in fluid flow. Divergence is defined as the dot product of del with a vector field, and also gives an example. Divergence measures how a fluid spreads out from a point. The document states that the curl of a gradient is always zero, and the divergence of a curl is also zero. It introduces the Laplace operator as the divergence of a gradient vector field.
Vector differentiation, the ∇ operator,Tarun Gehlot
The document discusses vector differentiation and vector calculus operators. It introduces vector fields and defines the gradient, divergence, and curl operators. The gradient of a scalar field produces a vector field, while the divergence and curl of a vector field produce a scalar and vector field respectively. The divergence represents how a vector field spreads out of or converges into a small volume. The curl represents how a vector field rotates around an axis. Examples are provided to demonstrate calculating these operators for various vector fields.
In this PPT, you will learn about Gradient, Divergence and Curl of Function with examples.
Visit our YouTube Channel SR Physics Academy and watch the video on Gradient, Divergence and Curl of a Function.
The link to the YouTube Channel is given below:
https://www.youtube.com/channel/UC6TP5JDKFT6qAkOT1FGHuYQ
Step 1: Search for ‘SR Physics Academy’ on YouTube.
Step 2: Go to Playlist ’Electromagnetic theory in English’.
Step 3: Watch the video ‘Gradient, Divergence and Curl of a Function’.
01. Differentiation-Theory & solved example Module-3.pdfRajuSingh806014
Total No. of questions in Differentiation are-
In Chapter Examples 31
Solved Examples 32
The rate of change of one quantity with respect to some another quantity has a great importance. For example the rate of change of displacement of a particle with respect to time is called its velocity and the rate of change of velocity is
called its acceleration.
The following results can easily be established using the above definition of the derivative–
d
(i) dx (constant) = 0
The rate of change of a quantity 'y' with respect to another quantity 'x' is called the derivative or differential coefficient of y with respect to x.
Let y = f(x) be a continuous function of a variable quantity x, where x is independent and y is
(ii)
(iii)
(iv)
(v)
d
dx (ax) = a
d (xn) = nxn–1
dx
d ex =ex
dx
d (ax) = ax log a
dependent variable quantity. Let x be an arbitrary small change in the value of x and y be the
dx
d
(vi) dx
e
(logex) = 1/x
corresponding change in y then lim
y
if it exists, d 1
x0 x
is called the derivative or differential coefficient of y with respect to x and it is denoted by
(vii) dx
(logax) =
x log a
dy . y', y
dx 1
or Dy.
d
(viii) dx (sin x) = cos x
So, dy dx
dy
dx
lim
x0
lim
x0
y
x
f (x x) f (x)
x
(ix) (ix)
(x) (x)
d
dx (cos x) = – sin x
d (tan x) = sec2x
dx
The process of finding derivative of a function is called differentiation.
If we again differentiate (dy/dx) with respect to x
(xi)
d (cot x) = – cosec2x
dx
d
then the new derivative so obtained is called second derivative of y with respect to x and it is
Fd2 y
(xii) dx
d
(xiii) dx
(secx)= secx tan x
(cosec x) = – cosec x cot x
denoted by
HGdx2 Jor y" or y2 or D2y. Similarly,
d 1
we can find successive derivatives of y which
(xiv) dx
(sin–1 x) = , –1< x < 1
1 x2
may be denoted by
d –1 1
d3 y d4 y
dn y
(xv) dx (cos x) = –
,–1 < x < 1
dx3 ,
dx4 , ........, dxn , ......
d
(xvi) dx
(tan–1 x) = 1
1 x2
Note : (i)
y is a ratio of two quantities y and
x
(xvii) (xvii)
d (cot–1 x) = – 1
where as dy
dx
dy
is not a ratio, it is a single
dx
d
(xviii) (xviii)
(sec–1 x) =
1 x2
1
|x| > 1
quantity i.e.
dx dy÷ dx
dx x x2 1
(ii)
dy is
dx
d (y) in which d/dx is simply a symbol
dx
(xix)
d (cosec–1 x) = – 1
dx
of operation and not 'd' divided by dx.
d
(xx) dx
(sinh x) = cosh x
d
(xxi) dx
d
(cosh x) = sinh x
Theorem V Derivative of the function of the function. If 'y' is a function of 't' and t' is a function of 'x' then
(xxii) dx
d
(tanh x) = sech2 x
dy =
dx
dy . dt
dt dx
(xxiii) dx
d
(xxiv) dx
d
(coth x) = – cosec h2 x (sech x) = – sech x tanh x
Theorem VI Derivative of parametric equations If x = (t) , y = (t) then
dy dy / dt
=
(xxv) dx
(cosech x) = – cosec hx coth x
dx dx / dt
(xxvi) (xxvi)
(xxvii) (xxvii)
d (sin h–1 x) =
The document discusses resonance in R-L-C series and parallel circuits. In series circuits, resonance occurs when the inductive reactance (XL) equals the capacitive reactance (XC), resulting in maximum current. The resonant frequency is 1/2π√LC. In parallel circuits, resonance occurs when the current through the inductor equals the current through the capacitor, resulting in minimum current. The resonant frequency is 1/2π√(L/C - R2/L). Key differences between series and parallel resonance are also summarized.
The document discusses exact and non-exact differential equations. It defines an exact differential equation as one where the partial derivatives of M and N with respect to y and x respectively are equal. The solution to an exact differential equation involves finding a constant such that the integral of Mdx + terms of N not containing x dy is equal to that constant. A non-exact differential equation has unequal partial derivatives, requiring an integrating factor to make the equation exact. Several methods for finding an integrating factor are presented, including cases where it is a function of x or y alone or where the equation is homogeneous. Examples are provided to illustrate these concepts.
This document outlines the key functions and processes of management: planning, organizing, staffing, controlling, and leading. It provides definitions and discusses the importance and features of each function. Planning involves setting goals and strategies in advance. Organizing is grouping tasks and assigning roles. Staffing matches jobs to capable people. Controlling compares actual to planned performance. Leading/directing gets work done through people. The functions are interconnected and aim to achieve organizational objectives efficiently.
A multiplexer is a digital circuit that has multiple inputs and a single output. It selects one of the multiple input lines to pass to its output based on a digital select line. A multiplexer uses select lines to determine which input is passed to the output. Multiplexers come in different sizes depending on the number of inputs and select lines, such as 2-to-1, 4-to-1, and 8-to-1 multiplexers. Multiplexers are used in applications such as data communications, audio/video routing, and implementing digital logic functions.
A database management system (DBMS) is a collection of data that provides management of databases. It allows users to store, update, retrieve, manipulate and produce information from a collection of data. Some key features of a DBMS include providing concurrent access for multiple users, maintaining data integrity, and offering security features like password protection and access rights. Common applications of DBMS include sales, accounting, human resources, banking, credit card transactions, and university administration. DBMS aims to reduce data redundancy and inconsistencies compared to conventional file processing systems.
THREADED BINARY TREE AND BINARY SEARCH TREESiddhi Shrivas
The document discusses threaded binary trees. It begins by defining a regular binary tree. It then explains that in a threaded binary tree, null pointers are replaced by threads (pointers) to other nodes. Threading rules specify that a null left/right pointer is replaced by a pointer to the inorder predecessor/successor. Boolean fields distinguish threads from links. Non-recursive traversals are possible by following threads. Insertion and deletion of nodes may require updating threads. Threaded binary trees allow efficient non-recursive traversals without a stack.
The document discusses the differences between contributors and non-contributors in their approach to work. Contributors are deeply engaged, enthusiastic, go beyond what is asked to understand concepts fully, and are committed to the success of their projects. Non-contributors do just enough to complete tasks, are not enthusiastic, and are not deeply engaged or committed. The document provides examples of a non-contributor researcher who gives up easily versus a contributor researcher who finds the work challenging but discovers new answers by engaging deeply. It emphasizes that contributors take initiative, show interest, and use their intellect to create high quality work, while non-contributors have a "chalta hai" or whatever attitude and focus on just completing tasks.
This document discusses Kirchhoff's Current Law (KCL), which states that the algebraic sum of currents in any node of an electrical circuit is equal to zero. It provides examples of nodes, closed loops, and how to apply KCL to find unknown currents. Kirchhoff's Current Law results from the conservation of electric charge and means the total current entering a node equals the total current leaving that node.
The document discusses the importance of effective communication and listening skills, outlining various barriers to communication like noise, language problems, non-verbal distractions, and faking attention that can hamper the listening process, as well as providing tips on improving listening abilities such as increasing your listening span and focusing on fully understanding the speaker's message rather than just the words.
The document discusses lasers, providing details on:
1. How lasers work through the process of stimulated emission of radiation, using a pumping mechanism to create population inversion in the active medium.
2. The key characteristics of laser light being monochromatic, coherent, and highly directional.
3. Examples of common laser types like Ruby and Nd:YAG lasers, describing their construction and working.
4. Applications of lasers in various fields like industry, medicine, communication, and more.
Sir Isaac Newton discovered the three laws of motion in the late 1600s. He published his findings in his seminal work "Philosophiae Naturalis Principia Mathematica" in 1687. Newton's Laws of Motion describe the relationship between an object's mass, force, and motion. They apply to all objects in everyday life. The three laws are: 1) Law of Inertia, 2) Law of Acceleration, 3) Law of Interaction. Today, Newton's laws remain the foundation for how we understand motion and force.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
3. INTRODUCTION
In this chapter, a vector field or a scalar field
can be differentiated w.r.t. position in three
ways to produce another vector field or scalar
field. The chapter details the three
derivatives, i.e.,
1. gradient of a scalar field
2. the divergence of a vector field
3. the curl of a vector field
4. VECTOR DIFFERENTIAL
OPERATOR
* The vector differential Hamiltonian operator
DEL(or nabla) is denoted by ∇ and is defined
as:
= i + j +k
x y z
5. GRADIENT OF A SCALAR
* Let f(x,y,z) be a scalar point function of
position defined in some region of space. Then
gradient of f is denoted by grad f or ∇ f and is
defined as
grad f = ∇f = i
𝜕f
𝜕x
+ j
𝜕f
𝜕y
+ k
𝜕f
𝜕z
ograd f is a vector quantity.
ograd f or ∇f , which is read “del f ”
6. *
Find gradient of F if F = 𝟑x 𝟐y- y 𝟑z 𝟐 at
(1,1,1, )
Solution: by definition,
∇f = 𝑖
𝜕f
𝜕𝑥
+ 𝑗
𝜕f
𝜕𝑦
+ 𝑘
𝜕f
𝜕𝑧
= -(6xy)i + (3 𝑥2
-3 𝑦2
𝑧2
)j – (2 𝑦3
z)k
= -6i+0j-2k ans
7. DIRECTIONAL DERIVATIVE
* The directional derivative of a scalar point function
f at a point f(x,y,z) in the direction of a vector a , is
the component ∇f in the direction of a.
*If a is the unit vector in the direction of a, then
direction derivative of ∇f in the direction of a of is
defined as
= ∇f .
a
|a|
8. *
Find the directional derivative of the function f (x, y) = x2y3
– 4y at the point (2, –1) in the direction of the vector v = 2 i
+ 5 j.
Solution: by definition, ∇f = 𝑖
𝜕f
𝜕𝑥
+ 𝑗
𝜕f
𝜕𝑦
+ 𝑘
𝜕f
𝜕𝑧
∇f = 𝑖 2𝑥y3 + 𝑗 3x2y2 − 4
at (2,-1) = −4𝑖 +8j
Directional derivative in the direction of the vector 2 i + 5 j
= ∇f .
a
|a|
= (−4𝑖 +8j).
3 i + 4 j
| 9+16|
=
𝟑𝟐
𝟓
ans
9. DIVERGENCE OF A VECTOR
* Let f be any continuously differentiable vector
point function. Then divergence of f and is
written as div f and is defined as
which is a scalar quantity.
31 2
ff f
div f = •f = + +
x y z
10. *
Find the divergence of a vector
A= 2xi+3yj+5zk .
Solution: by definition,
=
𝜕
𝜕x
(2x) +
𝜕
𝜕𝑦
(3y) +
𝜕
𝜕𝑧
(5z)
= 2+3+5
= 10 ans
31 2
ff f
div f = •f = + +
x y z
11. SOLENOIDAL VECTOR
* A vector point function f is said to be
solenoidal vector if its divergent is equal
to zero i.e., div f=0 at all points of the
function. For such a vector, there is no
loss or gain of fluid.
0321 fff zyxf
12. *
Show that A= (3y4z 2 i+(4 x3z 2)j-(3x2y2)k
is solenoidal.
Sol: here, A= (3y4z 2)i+(4 x3z 2)j-(3x2y2)k
by definition,
=
𝜕
𝜕x
(3y4z 2) +
𝜕
𝜕𝑦
(4 x3z 2) +
𝜕
𝜕𝑧
(3x2y2)
= 0
Hence, it is a solenoidal.
0321 fff zyxf
13. CURL OF A VECTOR
* Let f be any continuously differentiable vector
point function. Then the vector function curl of
f(x,y,z) is denoted by curl f and is defined as
zyxfzyxfzyxf
zyx
zyx
,,,,,,
f,,curl
321
kji
f
14. *
Find the curl of A= (xy)i-(2 xz )j+(2yz)k at the point
(1, 0, 2).
Solution: here, A = (xy)i-(2xz )j+(2yz)k
by definition,
yzxzxy
zyx
22
kji
zyxfzyxfzyxf
zyx
zyx
,,,,,,
f,,curl
321
kji
f
15. = (2z-2x)i – (0-0)j + (2z-x)k
At (1, 0, 2)
= 2i - 0j + 3k ans
k2j2i22
xy
y
xz
x
xy
z
yz
x
xz
z
yz
y
16. IRROTATIONAL VECTOR
* Any motion in which curl of the velocity vector
is a null vector i.e., curl v=0 is said to be
irrotational.
*Otherwise it is rotational
0f zyx ,,curl
17. *
Show that F=(2x+3y+2z)i + (3x+2y+3z)j +
(2x+3y+3z)k is irrotational.
Solution: F=(2x+3y+2z)i+(3x+2y+3z)j+(2x+3y+3z)k
by definition,
3z3y2x3z2y3x2z3y2x
f,,curl
zyx
zyx
kji
f
0f zyx ,,curl
19. SCALAR POTENTIAL
*If f is irrotational, there will always exist a
scalar function f(x,y,z) such that
f=grad g.
This g is called scalar potential of f.
20. *
A fluid motion is given by V=(ysinz-sinx)i + (xsinz+2yz)j +
(xycosz+y2) . Find its velocity potential.
Solution: V=(ysinz-sinx)i + (xsinz+2yz)j + (xycosz+y2)
by definition,
∇∅ = 𝑣
i
𝜕∅
𝜕x
+ j
𝜕∅
𝜕y
+ k
𝜕∅
𝜕z
= (ysinz-sinx)i+(xsinz+2yz)j+(xycosz+ y2)
21. by equating corresponding equation we get,
* 𝜕∅
𝜕x
= ysinz-sinx
integrating w r to x ; ∅= xysinz + 𝑐𝑜𝑠𝑥 + 𝑓1 y, z
* 𝜕∅
𝜕𝑦
= xsinz+2yz
integrating w r to y ; ∅= xysinz + zy2 +𝑓2 x, z
* 𝜕∅
𝜕𝑧
= xycosz+ y2
integrating w r to z ; ∅= xysinz + zy2
+𝑓3 x, 𝑦
Hence, ∅= xysinz + zy2
+ 𝑐𝑜𝑠𝑥 +C
22. *
DERIVATIVES FORMULA
1 The Del Operator ∇ =
𝜕
𝜕x
i +
𝜕
𝜕y
j +
𝜕
𝜕z
k
2 Gradient of a scalar function is a vector
quantity.
grad f = ∇f = i
𝜕f
𝜕x
+ j
𝜕f
𝜕y
+ k
𝜕f
𝜕z
3 Divergence of a vector is a scalar
quantity.
∇.A
4 Curl of a vector is a vector quantity. ∇*A
23. 0.
0
A
• So, any vector differential equation of the form
B=0 can be solved identically by writing B=.
• We say B is irrotational.
• We refer to as the scalar potential.
• So, any vector differential equation of the form
.B=0 can be solved identically by writing B=A.
• We say B is solenoidal or incompressible.
• We refer to A as the vector potential.