This document contains a mathematics tutorial sheet with 42 problems involving vector calculus concepts like derivatives, gradients, divergence, curl, and directional derivatives. The problems cover calculating derivatives of vector functions, finding velocities and accelerations of moving particles, determining irrotational and solenoidal vector fields, and applying vector calculus operations like gradient, divergence, and curl to scalar and vector functions.
1. A central force is one that is always directed towards a fixed point. Examples include gravitational force, forces causing uniform circular motion, and simple harmonic motion.
2. To analyze central forces, vectors, differentiation, and vector differentiation must be understood. The differentiation of position, velocity, and acceleration vectors in Cartesian and polar coordinates is examined.
3. For a central force, the radial component of acceleration is related to the magnitude of the force, while the tangential component depends on the angular acceleration and velocity. Examples of central forces producing different types of motion are given.
This document summarizes a rule from the ancient Indian mathematics text Lilavati for computing the sides of regular polygons inscribed in a circle. The rule provides coefficients that when multiplied by the circle's diameter and divided by 12,000 yield the side lengths of triangles, squares, pentagons, etc. up to nonagons. While the rationales for some coefficients are clear, others are less accurate, possibly due to limitations in available sine tables or knowledge of exact solutions. The document discusses methods that may have been used to derive the coefficients and compares the original values to more accurate modern calculations.
12X1 T07 01 v and a In terms of x (2010)Nigel Simmons
The document discusses the relationship between velocity, acceleration, and position for particles moving in one dimension.
It first shows that if velocity v is a function of position x, the acceleration is equal to the derivative of v squared with respect to x, divided by 2.
It then works through two examples:
1) Finding the velocity of a particle given its acceleration of 3 - 2x as a function of x.
2) Finding the position x of a particle in terms of time t, given its acceleration is 3x^2 and its initial position and velocity.
1. The document contains 10 mathematics word problems involving matrix operations and inverses.
2. The problems require finding inverse matrices, solving systems of equations using matrices, and calculating values that satisfy matrix equations.
3. Detailed step-by-step solutions are provided for each problem.
This document contains a mock exam for the EE107 course with 5 multi-part questions covering topics such as eigenvalues and eigenvectors, partial derivatives, line and surface integrals using theorems like Green's theorem, Stokes' theorem, and Gauss's divergence theorem. The questions are followed by detailed solutions showing the steps and work to arrive at the answers.
This document is a 3 page model question paper for the B.Tech degree examination in Engineering Mathematics - I. It contains 5 parts with a total of 100 marks. Part A contains 5 questions worth 15 marks total. Part B contains 5 questions worth 25 marks total. Part C contains 2 modules with 2 questions each, worth 60 marks total. The questions cover topics like eigenvalues and eigenvectors, homogeneous functions, integration, differential equations, and Laplace transforms.
This document provides 15 important questions on vector calculus concepts including directional derivatives, unit normals, solenoidal and irrotational vectors, and verification problems for Gauss's divergence theorem, Green's theorem, and Stokes' theorem. Example problems include finding directional derivatives, unit normals, determining if a vector is solenoidal or irrotational, evaluating line integrals, and verifying the vector calculus theorems for different bounding shapes and regions.
12 x1 t07 02 v and a in terms of x (2012)Nigel Simmons
1) The document discusses relating acceleration to velocity and position for particles moving in one dimension.
2) It derives the formula for acceleration as the second derivative of position with respect to time, equal to the first derivative of velocity with respect to position.
3) It provides two examples:
- Example 1 finds the velocity of a particle in terms of its position by solving the differential equation for acceleration.
- Example 2 finds the position of a particle in terms of time by solving the differential equation and using initial conditions.
1. A central force is one that is always directed towards a fixed point. Examples include gravitational force, forces causing uniform circular motion, and simple harmonic motion.
2. To analyze central forces, vectors, differentiation, and vector differentiation must be understood. The differentiation of position, velocity, and acceleration vectors in Cartesian and polar coordinates is examined.
3. For a central force, the radial component of acceleration is related to the magnitude of the force, while the tangential component depends on the angular acceleration and velocity. Examples of central forces producing different types of motion are given.
This document summarizes a rule from the ancient Indian mathematics text Lilavati for computing the sides of regular polygons inscribed in a circle. The rule provides coefficients that when multiplied by the circle's diameter and divided by 12,000 yield the side lengths of triangles, squares, pentagons, etc. up to nonagons. While the rationales for some coefficients are clear, others are less accurate, possibly due to limitations in available sine tables or knowledge of exact solutions. The document discusses methods that may have been used to derive the coefficients and compares the original values to more accurate modern calculations.
12X1 T07 01 v and a In terms of x (2010)Nigel Simmons
The document discusses the relationship between velocity, acceleration, and position for particles moving in one dimension.
It first shows that if velocity v is a function of position x, the acceleration is equal to the derivative of v squared with respect to x, divided by 2.
It then works through two examples:
1) Finding the velocity of a particle given its acceleration of 3 - 2x as a function of x.
2) Finding the position x of a particle in terms of time t, given its acceleration is 3x^2 and its initial position and velocity.
1. The document contains 10 mathematics word problems involving matrix operations and inverses.
2. The problems require finding inverse matrices, solving systems of equations using matrices, and calculating values that satisfy matrix equations.
3. Detailed step-by-step solutions are provided for each problem.
This document contains a mock exam for the EE107 course with 5 multi-part questions covering topics such as eigenvalues and eigenvectors, partial derivatives, line and surface integrals using theorems like Green's theorem, Stokes' theorem, and Gauss's divergence theorem. The questions are followed by detailed solutions showing the steps and work to arrive at the answers.
This document is a 3 page model question paper for the B.Tech degree examination in Engineering Mathematics - I. It contains 5 parts with a total of 100 marks. Part A contains 5 questions worth 15 marks total. Part B contains 5 questions worth 25 marks total. Part C contains 2 modules with 2 questions each, worth 60 marks total. The questions cover topics like eigenvalues and eigenvectors, homogeneous functions, integration, differential equations, and Laplace transforms.
This document provides 15 important questions on vector calculus concepts including directional derivatives, unit normals, solenoidal and irrotational vectors, and verification problems for Gauss's divergence theorem, Green's theorem, and Stokes' theorem. Example problems include finding directional derivatives, unit normals, determining if a vector is solenoidal or irrotational, evaluating line integrals, and verifying the vector calculus theorems for different bounding shapes and regions.
12 x1 t07 02 v and a in terms of x (2012)Nigel Simmons
1) The document discusses relating acceleration to velocity and position for particles moving in one dimension.
2) It derives the formula for acceleration as the second derivative of position with respect to time, equal to the first derivative of velocity with respect to position.
3) It provides two examples:
- Example 1 finds the velocity of a particle in terms of its position by solving the differential equation for acceleration.
- Example 2 finds the position of a particle in terms of time by solving the differential equation and using initial conditions.
International Journal of Computational Engineering Research(IJCER)ijceronline
The document presents some fixed point theorems for expansion mappings in complete metric spaces. It begins with definitions of terms like metric spaces, complete metric spaces, Cauchy sequences, and expansion mappings. It then summarizes several existing fixed point theorems for expansion mappings established by other mathematicians. The main result proved in this document is Theorem 3.1, which establishes a new fixed point theorem for expansion mappings under certain conditions on the metric space and mapping. It shows that if the mapping satisfies the given inequality, then it has a fixed point. The proof of this theorem constructs a sequence to show that it converges to a fixed point.
12X1 T07 02 v and a in terms of x (2011)Nigel Simmons
The document discusses the relationship between velocity, acceleration, and position for particles moving in one dimension.
It first shows that if velocity v is a function of position x, the acceleration is equal to the derivative of v squared with respect to x, divided by 2.
It then works through two examples:
1) Finding the velocity of a particle in terms of x, given its acceleration as a function of x.
2) Finding the position x of a particle in terms of time t, given its initial position and velocity and an acceleration function.
The document discusses the attitude dynamics of a re-entry vehicle (RV) in planetary atmospheres. It presents the following:
1) Equations of motion for the RV's angular momentum, unit vectors describing its orientation, and acceleration due to aerodynamic and gravitational forces.
2) Equations of motion for the RV's mass center in terms of its velocity, altitude, trajectory inclination angle, and dynamic pressure.
3) Solutions to the undisturbed equations of motion, including an energy integral and general solutions involving elliptic functions for different forms of the restoring aerodynamic moment.
1. This document provides a study guide for precalculus chapter 8 covering vectors and parametric equations.
2. It includes vocabulary terms, examples of finding vector magnitudes and directions, writing vectors in standard form, vector operations including addition, subtraction and inner/outer/cross products, writing parametric equations of lines, and word problems involving vector and parametric representations of motion.
3. The study guide provides a review of key concepts and skills along with practice problems to help prepare for an assessment on chapter 8 material involving vectors and parametric equations.
Physical techniques can be used to study molecular structure at the nanoscale. These techniques include X-ray diffraction, neutron scattering, electron microscopy, and nuclear magnetic resonance spectroscopy. Each technique provides different structural information depending on the type of radiation or particle used and how it interacts with molecules.
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.
The document discusses linear graphs and their properties. It explains that a linear graph can be represented by an equation in the form of y = mx + c, where m is the slope and c is the y-intercept. The document provides examples of drawing linear graphs from equations and calculating points to plot based on given x-values. Key aspects covered include the four quadrants of the Cartesian plane, common linear equations like y=3 and x=1, and plotting example graphs for equations like y=-2x+2.
1) The document introduces trigonometric functions including sine, cosine, tangent, cotangent, secant and cosecant. It defines them based on angles and the coordinates of points on a unit circle.
2) Key properties of trigonometric functions are presented, including their periodicity and behavior under transformations like negation. Pythagorean identities relating sine, cosine and tangent are also proved.
3) Several examples are worked through to illustrate applying properties of trigonometric functions to solve equations and find all solutions within a given interval.
The document discusses key concepts in calculus that are applied to physical systems, including:
- Displacement (distance from a point with direction)
- Velocity (rate of change of displacement over time, including direction)
- Acceleration (rate of change of velocity over time)
It provides examples of how to calculate acceleration, velocity, and displacement from equations describing physical phenomena. The relationships between these concepts are illustrated, such as how displacement can be determined by integrating velocity or differentiating acceleration. Calculus allows describing physical systems quantitatively and determining values like speed, acceleration, and position at different points in time.
The document discusses key concepts in calculus that are applied to physical systems, including:
- Displacement (distance from a point with direction)
- Velocity (rate of change of displacement over time, including direction)
- Acceleration (rate of change of velocity over time)
It provides examples of how to calculate acceleration, velocity, and displacement from equations describing physical phenomena. The relationships between these concepts are illustrated, such as how displacement can be determined by integrating velocity or differentiating acceleration. Calculus allows describing physical systems quantitatively and analyzing properties like when an object is stationary.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
1) The document discusses solving partial differential equations using variable separation. It presents the one-dimensional wave equation and solves it using variable separation.
2) It derives three cases for the solution based on whether k is positive, negative, or zero. It then presents the general solution as a summation involving sines and cosines.
3) It applies the general solution to two example problems of a vibrating string, finding the displacement as a function of position and time by satisfying the boundary conditions.
This document contains questions pertaining to signals and systems. It has two parts - Part A and Part B. Some key questions include:
1) Finding even and odd components of signals, determining if signals are energy or power signals, and plotting shifted versions of a signal.
2) Proving properties of LTI systems based on impulse response and input, determining output of LTI systems given various inputs and impulse responses.
3) Finding Fourier series coefficients and representations of signals, determining Fourier transforms and properties.
4) Determining difference/differential equation descriptions and impulse/frequency responses of systems based on given input-output relations or equations.
The document discusses the use of derivatives to analyze curves geometrically. It states that the derivative measures the slope of the tangent line to a curve. If the derivative is positive, the curve is increasing; if negative, decreasing; if zero, the curve is stationary. For the example curve y = 3x^2 - x^3, it finds the stationary points at (0,0) and (2,4) by setting the derivative equal to zero. It determines that (0,0) is a minimum turning point and (2,4) is a stationary point.
The Pythagorean theorem states that for any right triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. The document provides an example proof of the theorem using geometric shapes and explains how to use the theorem to solve for unknown sides of right triangles. It also gives examples of using the Pythagorean theorem and taking square roots to solve for variables.
This document provides historical context on key concepts in Schwartz space and test functions. It discusses how Laurent Schwartz defined the Schwartz space in 1947-1948 to consist of infinitely differentiable functions that, along with their derivatives, decrease faster than any polynomial. Test functions, a subset of Schwartz space, have compact support. Joseph-Louis Lagrange and Norbert Wiener helped develop the method of multiplying a function by a test function and integrating, which is fundamental to distribution theory. The term "mollifier" for test functions was coined by Kurt Friedrichs in 1944, although Sergei Sobolev had previously used them. Many mathematicians, including Leray, Sobolev, Courant, Hilbert, and Weyl,
Conversion from rectangular to polar coordinates and gradient windTarun Gehlot
1. The document derives the equations of motion in polar coordinates by relating rectangular and polar coordinates and basis vectors. This allows representation of problems with circular symmetry in a simpler form.
2. It then introduces the gradient wind approximation, which assumes steady, axi-symmetric flow with no radial velocity component. This leads to a simple expression for the tangential wind as a function of radius and pressure gradient.
3. Four types of gradient wind profiles are described depending on the pressure gradient and direction of flow: normal cyclonic/anticyclonic flows and anomalous anticyclonic flows about highs/lows.
The document provided is a blue print for a mathematics exam for class 12. It lists various topics that could be included in the exam such as functions, derivatives, integrals, differential equations, 3 dimensional geometry etc. It specifies the number and type of questions (VSA, SA, LA) that may be asked from each topic along with the marks allocated. A total of 100 marks have been allocated with 29 questions. Section A will have 10 one mark questions, Section B will have 12 four mark questions and Section C will have 7 six mark questions. An example question paper format in line with this blue print is also provided.
1. The document contains a past exam paper for an Advanced Mathematics exam with 10 questions across two parts (A and B).
2. The questions cover a range of advanced mathematics topics including Taylor series, differential equations, probability, statistics, and linear algebra.
3. Students must answer 5 questions total, with at least 2 questions from each part. Questions involve calculating values, proving statements, finding probabilities, and more.
This document contains exam questions from an Advanced Mathematics exam. It includes questions on topics like:
1) Using Taylor's series and Runge-Kutta methods to approximate solutions to differential equations.
2) Finding analytic functions, bilinear transformations, and power series representations.
3) Evaluating integrals, reducing differential equations to standard forms, and expressing polynomials in terms of orthogonal polynomials.
4) Fitting curves to data using least squares, finding correlation coefficients and means of variables, and solving probability problems involving binomial, normal, and chi-square distributions.
5) Explaining statistical terms like null hypothesis, standard error, and tests of significance. Finding fixed probability vectors and probabilities in Markov chains.
International Journal of Computational Engineering Research(IJCER)ijceronline
The document presents some fixed point theorems for expansion mappings in complete metric spaces. It begins with definitions of terms like metric spaces, complete metric spaces, Cauchy sequences, and expansion mappings. It then summarizes several existing fixed point theorems for expansion mappings established by other mathematicians. The main result proved in this document is Theorem 3.1, which establishes a new fixed point theorem for expansion mappings under certain conditions on the metric space and mapping. It shows that if the mapping satisfies the given inequality, then it has a fixed point. The proof of this theorem constructs a sequence to show that it converges to a fixed point.
12X1 T07 02 v and a in terms of x (2011)Nigel Simmons
The document discusses the relationship between velocity, acceleration, and position for particles moving in one dimension.
It first shows that if velocity v is a function of position x, the acceleration is equal to the derivative of v squared with respect to x, divided by 2.
It then works through two examples:
1) Finding the velocity of a particle in terms of x, given its acceleration as a function of x.
2) Finding the position x of a particle in terms of time t, given its initial position and velocity and an acceleration function.
The document discusses the attitude dynamics of a re-entry vehicle (RV) in planetary atmospheres. It presents the following:
1) Equations of motion for the RV's angular momentum, unit vectors describing its orientation, and acceleration due to aerodynamic and gravitational forces.
2) Equations of motion for the RV's mass center in terms of its velocity, altitude, trajectory inclination angle, and dynamic pressure.
3) Solutions to the undisturbed equations of motion, including an energy integral and general solutions involving elliptic functions for different forms of the restoring aerodynamic moment.
1. This document provides a study guide for precalculus chapter 8 covering vectors and parametric equations.
2. It includes vocabulary terms, examples of finding vector magnitudes and directions, writing vectors in standard form, vector operations including addition, subtraction and inner/outer/cross products, writing parametric equations of lines, and word problems involving vector and parametric representations of motion.
3. The study guide provides a review of key concepts and skills along with practice problems to help prepare for an assessment on chapter 8 material involving vectors and parametric equations.
Physical techniques can be used to study molecular structure at the nanoscale. These techniques include X-ray diffraction, neutron scattering, electron microscopy, and nuclear magnetic resonance spectroscopy. Each technique provides different structural information depending on the type of radiation or particle used and how it interacts with molecules.
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.
The document discusses linear graphs and their properties. It explains that a linear graph can be represented by an equation in the form of y = mx + c, where m is the slope and c is the y-intercept. The document provides examples of drawing linear graphs from equations and calculating points to plot based on given x-values. Key aspects covered include the four quadrants of the Cartesian plane, common linear equations like y=3 and x=1, and plotting example graphs for equations like y=-2x+2.
1) The document introduces trigonometric functions including sine, cosine, tangent, cotangent, secant and cosecant. It defines them based on angles and the coordinates of points on a unit circle.
2) Key properties of trigonometric functions are presented, including their periodicity and behavior under transformations like negation. Pythagorean identities relating sine, cosine and tangent are also proved.
3) Several examples are worked through to illustrate applying properties of trigonometric functions to solve equations and find all solutions within a given interval.
The document discusses key concepts in calculus that are applied to physical systems, including:
- Displacement (distance from a point with direction)
- Velocity (rate of change of displacement over time, including direction)
- Acceleration (rate of change of velocity over time)
It provides examples of how to calculate acceleration, velocity, and displacement from equations describing physical phenomena. The relationships between these concepts are illustrated, such as how displacement can be determined by integrating velocity or differentiating acceleration. Calculus allows describing physical systems quantitatively and determining values like speed, acceleration, and position at different points in time.
The document discusses key concepts in calculus that are applied to physical systems, including:
- Displacement (distance from a point with direction)
- Velocity (rate of change of displacement over time, including direction)
- Acceleration (rate of change of velocity over time)
It provides examples of how to calculate acceleration, velocity, and displacement from equations describing physical phenomena. The relationships between these concepts are illustrated, such as how displacement can be determined by integrating velocity or differentiating acceleration. Calculus allows describing physical systems quantitatively and analyzing properties like when an object is stationary.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
1) The document discusses solving partial differential equations using variable separation. It presents the one-dimensional wave equation and solves it using variable separation.
2) It derives three cases for the solution based on whether k is positive, negative, or zero. It then presents the general solution as a summation involving sines and cosines.
3) It applies the general solution to two example problems of a vibrating string, finding the displacement as a function of position and time by satisfying the boundary conditions.
This document contains questions pertaining to signals and systems. It has two parts - Part A and Part B. Some key questions include:
1) Finding even and odd components of signals, determining if signals are energy or power signals, and plotting shifted versions of a signal.
2) Proving properties of LTI systems based on impulse response and input, determining output of LTI systems given various inputs and impulse responses.
3) Finding Fourier series coefficients and representations of signals, determining Fourier transforms and properties.
4) Determining difference/differential equation descriptions and impulse/frequency responses of systems based on given input-output relations or equations.
The document discusses the use of derivatives to analyze curves geometrically. It states that the derivative measures the slope of the tangent line to a curve. If the derivative is positive, the curve is increasing; if negative, decreasing; if zero, the curve is stationary. For the example curve y = 3x^2 - x^3, it finds the stationary points at (0,0) and (2,4) by setting the derivative equal to zero. It determines that (0,0) is a minimum turning point and (2,4) is a stationary point.
The Pythagorean theorem states that for any right triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. The document provides an example proof of the theorem using geometric shapes and explains how to use the theorem to solve for unknown sides of right triangles. It also gives examples of using the Pythagorean theorem and taking square roots to solve for variables.
This document provides historical context on key concepts in Schwartz space and test functions. It discusses how Laurent Schwartz defined the Schwartz space in 1947-1948 to consist of infinitely differentiable functions that, along with their derivatives, decrease faster than any polynomial. Test functions, a subset of Schwartz space, have compact support. Joseph-Louis Lagrange and Norbert Wiener helped develop the method of multiplying a function by a test function and integrating, which is fundamental to distribution theory. The term "mollifier" for test functions was coined by Kurt Friedrichs in 1944, although Sergei Sobolev had previously used them. Many mathematicians, including Leray, Sobolev, Courant, Hilbert, and Weyl,
Conversion from rectangular to polar coordinates and gradient windTarun Gehlot
1. The document derives the equations of motion in polar coordinates by relating rectangular and polar coordinates and basis vectors. This allows representation of problems with circular symmetry in a simpler form.
2. It then introduces the gradient wind approximation, which assumes steady, axi-symmetric flow with no radial velocity component. This leads to a simple expression for the tangential wind as a function of radius and pressure gradient.
3. Four types of gradient wind profiles are described depending on the pressure gradient and direction of flow: normal cyclonic/anticyclonic flows and anomalous anticyclonic flows about highs/lows.
The document provided is a blue print for a mathematics exam for class 12. It lists various topics that could be included in the exam such as functions, derivatives, integrals, differential equations, 3 dimensional geometry etc. It specifies the number and type of questions (VSA, SA, LA) that may be asked from each topic along with the marks allocated. A total of 100 marks have been allocated with 29 questions. Section A will have 10 one mark questions, Section B will have 12 four mark questions and Section C will have 7 six mark questions. An example question paper format in line with this blue print is also provided.
1. The document contains a past exam paper for an Advanced Mathematics exam with 10 questions across two parts (A and B).
2. The questions cover a range of advanced mathematics topics including Taylor series, differential equations, probability, statistics, and linear algebra.
3. Students must answer 5 questions total, with at least 2 questions from each part. Questions involve calculating values, proving statements, finding probabilities, and more.
This document contains exam questions from an Advanced Mathematics exam. It includes questions on topics like:
1) Using Taylor's series and Runge-Kutta methods to approximate solutions to differential equations.
2) Finding analytic functions, bilinear transformations, and power series representations.
3) Evaluating integrals, reducing differential equations to standard forms, and expressing polynomials in terms of orthogonal polynomials.
4) Fitting curves to data using least squares, finding correlation coefficients and means of variables, and solving probability problems involving binomial, normal, and chi-square distributions.
5) Explaining statistical terms like null hypothesis, standard error, and tests of significance. Finding fixed probability vectors and probabilities in Markov chains.
Computer Science and Information Science 4th semester (2011-June/July) Question
Tutorial
1. Pandit Deendayal Petroleum University
School of Petroleum Technology
Tutorial Sheet- II
Mathematics –II
1. If r i cos 2 t 3 j sin 2 t , find
dr d 2r
(i) , when t=0, (ii) , when t=1.
dt dt 2
dr 1 d 2r 2
(iii) , when t and (iv) 2
, when t .
dt 6 dt 3
d
2. If a ti t 2 j t 3k , b i cos t j sin t , c 3t 2i 4tk , find a b c , where
dt
r .
3. A particles moves along the curve x 3t 2 , y t 2 2t , z t 2 , where t is the time.
(a) Determine its velocity and acceleration at any time.
(b) Find the magnitudes of velocity and acceleration at time t 1 .
4. Find a unit tangent vector to any point on the space curve x a cos t , y a sin t , z bt ,
where a and b are constants and t is the time.
3 d 1 dr
5. Prove that r r . , where r is a vector function of the scalar variable t.
dt r dt
r r a
6. Differentiate 2 with respect to r , where r is a function of t and a is a
a.r r
constant vector.
da da
7. If a is a unit vector, prove that a .
dt dt
d 2 dr d 2 r
8. Evaluate 2 r 2 .
dt dt dt
9. A particle moves along the curve x 4cos t , y 4sin t , z 6t , where t denotes the time.
Find (a) the velocity and the acceleration at any time t and (b) the magnitudes of the
velocity and the acceleration at time t .
10. A particle moves so that its position vector r is given by cos t,sin t,0 , where is a
constant and t is the time. Show that
(a) The velocity v of the particle is perpendicular to r .
(b) The acceleration a is directed towards the origin and has magnitude proportional to
the distance from the origin.
(c) r v a constant vector.
2. 11. Find a unit tangent vector at the point t 1 of the space curve x t , y t 2 , z t 3 where t
denotes the time.
3
12. If x, y, z xy z and u xzi xyj yz k , find 2 u at the point (2,-1,1).
2 2
x z
13. If u x y z, v x 2 y 2 z 2 , w yz zx xy then prove that u.v w 0.
14. Show that grad r .a a, where a is a constant vector and r is position vector of the
point x, y, z .
15. Show that a. a. .
16. Show that a. r a where r x, y, z .
17. Prove that grad f u f ' u grad u.
18. If r r , where r xi yj zk , prove that f r f ' r r.
r
19. If r r and r x, y, z , prove that log r 2 .
r
20. If r x, y, z and r r , Prove that f r r 0.
21. If f y 2 z 2 x2 i z 2 x 2 y 2 j x 2 y 2 z 2 k , find div f . Also find its value
at the point (2,-1,-1).
22. Prove that div r a b 2b .a, where r x, y, z and a , b are constant vectors.
23. Prove that r n r is solenoidal, when n 3 .
24. If u x 2 zi 2 y 3 z 2 j xy 2 zk , find curl u at the point (1,-1,1)
25. Prove that r a b a b , where r x, y, z and a , b are constant vectors.
26. Find the constants a, b, c so that the vector
F x 2 y az i bx 3 y z j 4x cy 2z k is irrotational.
27. Find div f , where f grad x3 y3 z 3 3xyz .
28. If x3 y3 z 3 3xyz , find curl grad .
29. If a and b are constant vectors and r x, y, z then prove that
(i)
1
. a 0
1 3 a.r b .r
(ii) a. b .
a.b
3 .
r r r5 r
30. Find the unit normal vector to the level surface x 2 y z 4 at the point (2,0,0).
31. Find the directional derivative of f x, y, z x2 yz 4xz 2 at the point (1, -2, -1) in the
direction of the vector 2i j 2k .
3. 32. Find the greatest value of the directional derivative of the function 2x 2 y z 4 at the
point (2, -1, 1).
2
33. If A x yzi 2 xz j xz k and B 2 zi yj x k , Find the value of
2 3 2 2
xy
A B at
(1,0,-2).
2 2 f 2 f
34. If f 2 x y x i e y sin x j x cos yk , Verify that
2 4 xy
.
xy yx
1 r
35. Prove that 3 , where r r and r xi yj zk .
r r
36. Prove that r n nr n2 r , where r r and r xi yj zk .
37. Prove that .r a r 2r .a where r x, y, z and a is a constant vector.
38. Prove that the vector r 3r is solenoidal.
39. Prove that the vector curl r n r 0, where r r and r x, y, z
40. Prove that div grad r n n n 1 r n2 . or Prove that 2r n n n 1 r n2 .
41. What is the greatest rate of increase of u xyz 2 at the point (1, 0, 3).
42. Find the maximum value of the directional derivatives of x 2 yz at the point (1,4,1).