The document discusses spherical Bessel functions of fractional order. It defines the spherical Bessel functions of the first kind jn(z), the second kind yn(z), and the third kind hn(z). It provides representations of these functions by elementary functions, ascending series, Poisson's integral formula, and Gegenbauer's generalization. It also discusses properties such as differentiation formulae, analytic continuation, and generating functions. Tables are provided with values of the modified spherical Bessel functions for different orders and arguments.
I used this set of slides for the lecture on Complexity I gave at the University of Zurich for the 1st year students following the course of Formale Grundlagen der Informatik.
This document contains a chapter on integration with 20 exercises involving calculating areas under curves. The exercises provide functions defining regions and ask the reader to calculate areas using various techniques like right endpoints, left endpoints, and trapezoid rules. The functions include polynomials, trigonometric functions, exponentials, and logarithms. Calculating areas allows practicing applying definitions of integrals to find anti-derivatives and definite integrals.
1. The document contains an assignment on mathematics involving ordinary and partial differential equations, matrices, vector calculus, and their applications. It includes solving various types of differential equations, finding eigenvectors and eigenvalues of matrices, evaluating line, surface and volume integrals using Green's theorem and Stokes' theorem. The assignment contains 20 problems spanning these topics.
2. The assignment covers key concepts in differential equations, linear algebra, and vector calculus including solving ordinary differential equations, partial differential equations, systems of linear equations, eigenproblems, line integrals, surface integrals, divergence, curl, gradient, Laplacian, and theorems like Green's theorem and Stokes' theorem.
3. Students are required to solve 20 problems involving these
This document presents a novel method called the Eigenfunction Expansion Method (EFEM) for analytically solving transient heat conduction problems with phase change in cylindrical coordinates. The method involves formulating the governing equations and associated boundary conditions, introducing coefficients, solving the eigenvalue problems, and representing the solution as a series expansion of the eigenfunctions. Dimensionless parameters are introduced to simplify the problem. The EFEM is then applied to solve a one-dimensional phase change problem. Results show that increasing the number of terms in the series expansion decreases the truncation error and that the Stefan number affects the melting fraction evolution over time.
This document provides 98 examples of functions and their derivatives. The functions include polynomials, trigonometric functions like sine, cosine, tangent, inverse trigonometric functions, exponential functions, logarithmic functions, and combinations of these functions.
This document discusses metrology using single electrons in metallic and superconducting islands. It covers theories of electron transport in these systems and their environments. Applications include using these systems for metrology and achieving error rates low enough for metrological standards. Solid state entanglers are also discussed as a way to generate entanglement for metrology applications.
The document defines and provides examples of several types of functions including:
1) Constant functions where f(x) = a for all values of x.
2) Linear functions of the form f(x) = ax + b.
3) Quadratic functions of the form f(x) = ax2 + bx + c.
4) Polynomial functions which are the sum of terms with variables raised to various powers.
I used this set of slides for the lecture on Complexity I gave at the University of Zurich for the 1st year students following the course of Formale Grundlagen der Informatik.
This document contains a chapter on integration with 20 exercises involving calculating areas under curves. The exercises provide functions defining regions and ask the reader to calculate areas using various techniques like right endpoints, left endpoints, and trapezoid rules. The functions include polynomials, trigonometric functions, exponentials, and logarithms. Calculating areas allows practicing applying definitions of integrals to find anti-derivatives and definite integrals.
1. The document contains an assignment on mathematics involving ordinary and partial differential equations, matrices, vector calculus, and their applications. It includes solving various types of differential equations, finding eigenvectors and eigenvalues of matrices, evaluating line, surface and volume integrals using Green's theorem and Stokes' theorem. The assignment contains 20 problems spanning these topics.
2. The assignment covers key concepts in differential equations, linear algebra, and vector calculus including solving ordinary differential equations, partial differential equations, systems of linear equations, eigenproblems, line integrals, surface integrals, divergence, curl, gradient, Laplacian, and theorems like Green's theorem and Stokes' theorem.
3. Students are required to solve 20 problems involving these
This document presents a novel method called the Eigenfunction Expansion Method (EFEM) for analytically solving transient heat conduction problems with phase change in cylindrical coordinates. The method involves formulating the governing equations and associated boundary conditions, introducing coefficients, solving the eigenvalue problems, and representing the solution as a series expansion of the eigenfunctions. Dimensionless parameters are introduced to simplify the problem. The EFEM is then applied to solve a one-dimensional phase change problem. Results show that increasing the number of terms in the series expansion decreases the truncation error and that the Stefan number affects the melting fraction evolution over time.
This document provides 98 examples of functions and their derivatives. The functions include polynomials, trigonometric functions like sine, cosine, tangent, inverse trigonometric functions, exponential functions, logarithmic functions, and combinations of these functions.
This document discusses metrology using single electrons in metallic and superconducting islands. It covers theories of electron transport in these systems and their environments. Applications include using these systems for metrology and achieving error rates low enough for metrological standards. Solid state entanglers are also discussed as a way to generate entanglement for metrology applications.
The document defines and provides examples of several types of functions including:
1) Constant functions where f(x) = a for all values of x.
2) Linear functions of the form f(x) = ax + b.
3) Quadratic functions of the form f(x) = ax2 + bx + c.
4) Polynomial functions which are the sum of terms with variables raised to various powers.
This document discusses distributed patterns and includes code examples of consistent hashing, distributed key-value storage using consistent hashing, and a pub-sub messaging pattern using ZeroMQ. It is a blog post by Eric Redmond with code snippets in Ruby demonstrating various distributed system patterns that programmers should know.
1. The document defines relations and functions. It provides examples of relations including r1, r2, r3, r4, and r5.
2. Functions are defined as mappings from a domain A to a range B. Examples of one-to-one, many-to-one, and onto functions are given.
3. Different types of functions are described including constant, linear, quadratic, polynomial, rational, absolute value, step, and periodic functions. Examples are provided for each type.
1. Several sets are defined including sets of integers, rational numbers, and real numbers satisfying certain properties or conditions.
2. The concepts of elements, subsets, universal sets, and relative universes are explained. Finite and infinite sets are also introduced.
3. Examples are provided to demonstrate set operations and comparisons including union, intersection, subset, equality and inequality of sets. Properties of empty and singleton sets are also illustrated.
The z-transform of K3 u[k] is:
1) -z^(-3)(z^2 - z + 1)
2) The z-transform provides a method to analyze linear time-invariant systems using complex variable techniques in the z-domain.
3) This z-transform calculation follows the properties that the z-transform of ku[k] is the derivative of the z-transform of u[k] evaluated at z=0.
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
In this paper, restricting the coefficients of a polynomial to certain conditions, we locate a region containing all of its zeros. Our results generalize many known results in addition to some interesting results which can be obtained by choosing certain values of the parameters. Mathematics Subject Classification: 30C10, 30C15
1) The document provides definitions and formulas for calculating derivatives, including the derivative of a function at a point, the derivative function, and common derivatives of basic functions like polynomials, exponentials, logarithms, trigonometric functions, and inverse trigonometric functions.
2) Examples are given of calculating derivatives using the definition of the derivative, for functions like f(x)=3x^2, f(x)=x+1, and f(x)=1/x.
3) Rules are listed for calculating the derivatives of sums, products, quotients of functions using properties of derivatives.
- The document discusses random number generation and probability distributions. It presents methods for generating random numbers from Bernoulli, binomial, beta, and multinomial distributions using random bits generated from linear congruential generators.
- Graphical examples are shown comparing histograms of generated random samples to theoretical probability density functions. Code examples in R demonstrate how to simulate random number generation from various discrete distributions.
- The goal is to introduce different methods for random number generation from basic discrete distributions that are important for modeling random phenomena and Monte Carlo simulations.
This document provides an overview of Laplace transforms and their applications. It discusses why Laplace transforms are useful for solving differential equations using algebra instead of convolution. It also outlines the key steps to using Laplace transforms: (1) find the differential equations describing the system, (2) obtain the Laplace transform, (3) perform algebra to solve for the variable of interest, and (4) apply the inverse transform. The document then reviews properties and formulas for evaluating Laplace transforms and provides examples of applying properties like linearity, time shifting, and derivatives.
The document appears to discuss Bayesian statistical modeling and inference. It includes definitions of terms like the correlation coefficient (ρ), bivariate normal distributions, and binomial distributions. It shows the setup of a Bayesian hierarchical model with multivariate normal outcomes and estimates of the model parameters, including the correlations (ρA and ρB) between two groups of bivariate data.
The document discusses memory organization and buffer overflow exploits. It explains how the CPU and memory are organized, and how data is represented in binary, octal, decimal, and hexadecimal numbering systems. It then covers buffer overflow basics like stack operations, function calls and stack organization, and provides an example of a buffer overflow exploit that overwrites the EIP register to change the program flow.
This document provides information about a theoretical physics course, including the course code, homepage, lecturer contact information, textbook, main topics covered, and assessment details. The course covers complex variables and their applications in theoretical physics. Topics include Cauchy's integral formula, calculus of residues, partial differential equations, special functions, and Fourier series. Students will be assessed through a 3-hour written exam worth 80% and a course assessment worth 20%.
1. The document discusses the estimation problem in geostatistics, which is determining the value of a quantity Zo at an unmeasured point (xo,yo) based on measurements at nearby points.
2. It describes kriging as the best linear unbiased estimator that takes into account the spatial structure and correlation between points to estimate values across a field. The kriging system minimizes the variance of errors in estimates.
3. A simple kriging example is shown using a computer program to generate data, perform kriging, and display the kriged estimates and associated error variances across the field.
This document discusses stochastic models for site characterization. It describes several continuous models for generating random fields including the multivariate normal method, LU decomposition method, and turning bands method. The multivariate normal method models a random vector as having a multivariate normal distribution defined by a mean vector and covariance matrix. The LU decomposition method generates a random field with a given covariance structure by decomposing the covariance matrix into lower and upper triangular matrices. It provides numerical examples of applying the LU decomposition method to generate correlated random variables at two points.
Calculo de integrais_indefinidos_com_aplicacao_das_proprieRigo Rodrigues
This document provides examples of calculating indefinite integrals using properties of integrals and immediate integration formulas. Some examples include integrals of expressions involving trigonometric, exponential, and logarithmic functions. The techniques shown include performing substitutions to obtain integrals in the table of integrals and finding antiderivatives.
El text.life science6.matsubayashi191120RCCSRENKEI
This document discusses molecular dynamics (MD) simulations. It provides equations for modeling interactions in MD, such as bonds, angles, torsions, and nonbonded interactions. It describes algorithms like Verlet integration that are used to solve the equations of motion in MD. It also discusses ensembles like NVE, NVT, and NPT that are commonly used, and methods like Langevin dynamics and barostats that are applied to control temperature and pressure.
Gamma Function mathematics and history.
Please send comments and suggestions for improvements to solo.hermelin@gmail.com. Thanks.
More presentations on different subjects can be found on my website at http://www.solohermelin.com.
This document provides examples and exercises on determining composite functions from given functions. It includes:
- Examples of determining possible functions f and g for composite functions like y = (x + 4)2 and y = √x + 5.
- A table sketching and finding domains and ranges for various composite functions like y = f(f(x)) and y = f(g(x)) given functions f(x) and g(x).
- Exercises to determine composite functions f(g(x)) and possible functions f, g, and h for more complex functions like y = x2 - 6x + 5.
- Questions about restrictions on variables and domains for composite functions
This document provides an overview of functions and key concepts in calculus and analytic geometry. It defines what a function is, including the domain and range. It describes different types of functions such as polynomial, linear, identity, constant, rational, exponential, and logarithmic functions. Examples are given for each type of function. Key aspects like the vertical line test and graphs of functions are also summarized.
This document discusses Bessel functions of integer order. It defines the Bessel functions Jv(z), Yv(z), Hv(1)(z), and Hv(2)(z) as solutions to Bessel's differential equation. It describes key properties of these functions, including their behavior for different values of z, their linear independence, and asymptotic expansions. The document also outlines various notations used for Bessel functions in different references.
1) The plane containing points p1(1,2,3), p2(3,4,3), and p3(1,3,4) has the equation 2x - 2y + 2z - 4 = 0.
2) The line perpendicular to the plane x + 2y + 3z + 4 = 0 and passing through the point (5,6,7) is r(t) = (5 + t, 6, 7 + 3t).
3) The distance between a point p = (x,y,z) and a plane ax + by + cz + d = 0 is |ax + by + cz + d|/√(
This document discusses distributed patterns and includes code examples of consistent hashing, distributed key-value storage using consistent hashing, and a pub-sub messaging pattern using ZeroMQ. It is a blog post by Eric Redmond with code snippets in Ruby demonstrating various distributed system patterns that programmers should know.
1. The document defines relations and functions. It provides examples of relations including r1, r2, r3, r4, and r5.
2. Functions are defined as mappings from a domain A to a range B. Examples of one-to-one, many-to-one, and onto functions are given.
3. Different types of functions are described including constant, linear, quadratic, polynomial, rational, absolute value, step, and periodic functions. Examples are provided for each type.
1. Several sets are defined including sets of integers, rational numbers, and real numbers satisfying certain properties or conditions.
2. The concepts of elements, subsets, universal sets, and relative universes are explained. Finite and infinite sets are also introduced.
3. Examples are provided to demonstrate set operations and comparisons including union, intersection, subset, equality and inequality of sets. Properties of empty and singleton sets are also illustrated.
The z-transform of K3 u[k] is:
1) -z^(-3)(z^2 - z + 1)
2) The z-transform provides a method to analyze linear time-invariant systems using complex variable techniques in the z-domain.
3) This z-transform calculation follows the properties that the z-transform of ku[k] is the derivative of the z-transform of u[k] evaluated at z=0.
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
In this paper, restricting the coefficients of a polynomial to certain conditions, we locate a region containing all of its zeros. Our results generalize many known results in addition to some interesting results which can be obtained by choosing certain values of the parameters. Mathematics Subject Classification: 30C10, 30C15
1) The document provides definitions and formulas for calculating derivatives, including the derivative of a function at a point, the derivative function, and common derivatives of basic functions like polynomials, exponentials, logarithms, trigonometric functions, and inverse trigonometric functions.
2) Examples are given of calculating derivatives using the definition of the derivative, for functions like f(x)=3x^2, f(x)=x+1, and f(x)=1/x.
3) Rules are listed for calculating the derivatives of sums, products, quotients of functions using properties of derivatives.
- The document discusses random number generation and probability distributions. It presents methods for generating random numbers from Bernoulli, binomial, beta, and multinomial distributions using random bits generated from linear congruential generators.
- Graphical examples are shown comparing histograms of generated random samples to theoretical probability density functions. Code examples in R demonstrate how to simulate random number generation from various discrete distributions.
- The goal is to introduce different methods for random number generation from basic discrete distributions that are important for modeling random phenomena and Monte Carlo simulations.
This document provides an overview of Laplace transforms and their applications. It discusses why Laplace transforms are useful for solving differential equations using algebra instead of convolution. It also outlines the key steps to using Laplace transforms: (1) find the differential equations describing the system, (2) obtain the Laplace transform, (3) perform algebra to solve for the variable of interest, and (4) apply the inverse transform. The document then reviews properties and formulas for evaluating Laplace transforms and provides examples of applying properties like linearity, time shifting, and derivatives.
The document appears to discuss Bayesian statistical modeling and inference. It includes definitions of terms like the correlation coefficient (ρ), bivariate normal distributions, and binomial distributions. It shows the setup of a Bayesian hierarchical model with multivariate normal outcomes and estimates of the model parameters, including the correlations (ρA and ρB) between two groups of bivariate data.
The document discusses memory organization and buffer overflow exploits. It explains how the CPU and memory are organized, and how data is represented in binary, octal, decimal, and hexadecimal numbering systems. It then covers buffer overflow basics like stack operations, function calls and stack organization, and provides an example of a buffer overflow exploit that overwrites the EIP register to change the program flow.
This document provides information about a theoretical physics course, including the course code, homepage, lecturer contact information, textbook, main topics covered, and assessment details. The course covers complex variables and their applications in theoretical physics. Topics include Cauchy's integral formula, calculus of residues, partial differential equations, special functions, and Fourier series. Students will be assessed through a 3-hour written exam worth 80% and a course assessment worth 20%.
1. The document discusses the estimation problem in geostatistics, which is determining the value of a quantity Zo at an unmeasured point (xo,yo) based on measurements at nearby points.
2. It describes kriging as the best linear unbiased estimator that takes into account the spatial structure and correlation between points to estimate values across a field. The kriging system minimizes the variance of errors in estimates.
3. A simple kriging example is shown using a computer program to generate data, perform kriging, and display the kriged estimates and associated error variances across the field.
This document discusses stochastic models for site characterization. It describes several continuous models for generating random fields including the multivariate normal method, LU decomposition method, and turning bands method. The multivariate normal method models a random vector as having a multivariate normal distribution defined by a mean vector and covariance matrix. The LU decomposition method generates a random field with a given covariance structure by decomposing the covariance matrix into lower and upper triangular matrices. It provides numerical examples of applying the LU decomposition method to generate correlated random variables at two points.
Calculo de integrais_indefinidos_com_aplicacao_das_proprieRigo Rodrigues
This document provides examples of calculating indefinite integrals using properties of integrals and immediate integration formulas. Some examples include integrals of expressions involving trigonometric, exponential, and logarithmic functions. The techniques shown include performing substitutions to obtain integrals in the table of integrals and finding antiderivatives.
El text.life science6.matsubayashi191120RCCSRENKEI
This document discusses molecular dynamics (MD) simulations. It provides equations for modeling interactions in MD, such as bonds, angles, torsions, and nonbonded interactions. It describes algorithms like Verlet integration that are used to solve the equations of motion in MD. It also discusses ensembles like NVE, NVT, and NPT that are commonly used, and methods like Langevin dynamics and barostats that are applied to control temperature and pressure.
Gamma Function mathematics and history.
Please send comments and suggestions for improvements to solo.hermelin@gmail.com. Thanks.
More presentations on different subjects can be found on my website at http://www.solohermelin.com.
This document provides examples and exercises on determining composite functions from given functions. It includes:
- Examples of determining possible functions f and g for composite functions like y = (x + 4)2 and y = √x + 5.
- A table sketching and finding domains and ranges for various composite functions like y = f(f(x)) and y = f(g(x)) given functions f(x) and g(x).
- Exercises to determine composite functions f(g(x)) and possible functions f, g, and h for more complex functions like y = x2 - 6x + 5.
- Questions about restrictions on variables and domains for composite functions
This document provides an overview of functions and key concepts in calculus and analytic geometry. It defines what a function is, including the domain and range. It describes different types of functions such as polynomial, linear, identity, constant, rational, exponential, and logarithmic functions. Examples are given for each type of function. Key aspects like the vertical line test and graphs of functions are also summarized.
This document discusses Bessel functions of integer order. It defines the Bessel functions Jv(z), Yv(z), Hv(1)(z), and Hv(2)(z) as solutions to Bessel's differential equation. It describes key properties of these functions, including their behavior for different values of z, their linear independence, and asymptotic expansions. The document also outlines various notations used for Bessel functions in different references.
1) The plane containing points p1(1,2,3), p2(3,4,3), and p3(1,3,4) has the equation 2x - 2y + 2z - 4 = 0.
2) The line perpendicular to the plane x + 2y + 3z + 4 = 0 and passing through the point (5,6,7) is r(t) = (5 + t, 6, 7 + 3t).
3) The distance between a point p = (x,y,z) and a plane ax + by + cz + d = 0 is |ax + by + cz + d|/√(
This document discusses Bode plots, which are used to analyze the stability of linear time-invariant control systems. Bode plots graphically represent a system's transfer function and consist of a magnitude plot and a phase plot versus frequency. The magnitude plot shows the gain in decibels and the phase plot shows the phase angle. Together these plots can determine the gain and phase margins of a system, which indicate its stability. Examples are provided to demonstrate how to construct Bode plots from transfer functions and analyze system stability.
This document outlines different ways to parametrize surfaces, including:
- Graphs of functions can be parametrized using the function.
- Planes can be parametrized using a point on the plane and two vectors.
- Coordinate surfaces like cylinders can be parametrized using the coordinate conversions.
- Surfaces of revolution can be parametrized using a radius function and angle.
The document provides examples of parametrizing planes, cylinders, and surfaces of revolution and outlines other topics like implicit vs explicit descriptions and more complex parametrizations.
1. The document discusses the principles and applications of photoelectron spectroscopy (PES) and X-ray photoelectron spectroscopy (XPS). PES allows the determination of elemental composition and chemical or electronic state of sample surfaces by analyzing the kinetic energy of electrons ejected from the surface by X-ray or UV photons.
2. The text explains the photoelectric effect and outlines the basic components and working principles of PES/XPS instruments. Electrons ejected from core levels are analyzed based on their kinetic energy, which provides information about the element and chemical environment.
3. Applications of PES/XPS mentioned include analyzing the composition and structure of materials, as well as studying chemical reactions, phase transitions, and
The document contains 23 math problems involving equations, inequalities, geometry concepts like angles and lengths of lines, limits, and other algebraic expressions. The problems cover a wide range of math topics including functions, polynomials, systems of equations, trigonometry, and calculus.
This document provides examples and explanations of vector-valued functions and the calculus of vector-valued functions. Some key points covered include:
- Examples of vector-valued functions and their domains.
- Limits of vector-valued functions, including using L'Hopital's rule.
- Derivatives of vector-valued functions and evaluating them at specific values.
- Finding parametric equations of tangent lines to vector-valued functions.
The document contains over 40 examples of vector-valued functions and calculations involving limits, derivatives, and tangent lines of vector-valued functions.
This document provides a table of commonly used Laplace transform pairs. There are 37 entries in the table that list various functions of t and their corresponding Laplace transforms F(s). Each entry is of the form f(t) = L-1{F(s)}, which relates a function f(t) to its Laplace transform F(s). Notes are provided to explain details like hyperbolic functions, the Gamma function, and limitations of the table.
This document provides a table of commonly used Laplace transform pairs. There are 37 entries in the table that list various functions of t and their corresponding Laplace transforms F(s). Each entry is of the form f(t) = L-1{F(s)}, which relates a function of time f(t) to its Laplace transform F(s). Notes are provided to explain concepts like hyperbolic functions and the Gamma function used in some of the entries.
This document provides a table of commonly used Laplace transform pairs. There are 38 entries in total, each providing the Laplace transform of a specific function. For example, entry 1 gives the Laplace transform of a constant function f(t) as F(s)=1/s. The table also includes brief explanatory notes about properties of Laplace transforms and related functions like the Gamma function.
The document provides solutions to recommended problems from a signals and systems textbook. It solves problems related to signal properties such as periodicity, even and odd signals, transformations of signals, and convolutions. Key steps and reasoning are shown for each part of each problem. Graphs and diagrams are included to illustrate signals and solutions.
This document provides an overview of key concepts in multivariable calculus including:
- Three-dimensional coordinate systems and vectors in space. Operations on vectors such as addition, scalar multiplication, dot products, and cross products.
- Lines, planes, and quadric surfaces in space. Multiple integrals, integration in vector fields including line integrals, work, and flux.
- Coordinate transformations between rectangular and cylindrical coordinates. Green's theorem and its application to calculating line integrals and surface areas.
This document contains a series of mathematics problems and their step-by-step solutions involving algebra, equations, logarithms, and trigonometry. The problems cover topics such as solving equations, evaluating logarithmic and trigonometric expressions, finding values that satisfy equations, solving systems of equations, and more. The document is written in Spanish and provides fully worked out solutions for each problem presented.
The document appears to be part of an exam for an engineering mathematics course. It contains instructions for answering questions, notes on objective type questions, and four practice problems:
1) Choose the correct answer for questions about electrochemical cells and redox reactions.
2) Solve the differential equation p' - 2p sinh x = -1.
3) Solve the differential equation y" + y = cos x.
4) Obtain the general and singular solutions of the Clairaut's equation (y - px)(p-1) = p.
This document contains a chapter on complex numbers from an Oxford textbook. It includes examples of adding, multiplying, dividing and simplifying complex numbers. It also covers topics like modulus, argument and solving complex number equations. Several worked examples are provided with step-by-step solutions.
This document provides a series of practice problems related to complex numbers, Euler's formula, and signals and systems:
(1) It asks the learner to evaluate expressions involving a complex number z = 2eiπ/3, such as its real and imaginary parts.
(2) Another problem involves showing relationships between the real and imaginary parts of an arbitrary complex number z.
(3) Using Euler's formula, it has the learner derive expressions for the cosine and sine of an angle in terms of e.
(4) Additional problems involve expressing complex functions in polar form and plotting them, integrating signals, and sketching shifted and scaled versions of a signal x(t).
In the early days of computer science coding was viewed as an art. In the modern world of software engineering we may have lost the art to make way for rules and best practices. The International Obfuscated C Code Contest offers a chance for the coder to think beyond the rules of software engineering and unleash their creative side. We'll explore some of the more interesting entries in the past, take a closer look at some exotic C syntax, and finish up by exploring Bruce Holloway's 1986 entry.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Feb. 2, 2007
On The Homogeneous Biquadratic Equation with 5 UnknownsIJSRD
Five different methods of the non-zero integral solutions of the homogeneous biquadratic Diophantine equation with five unknowns are determined. Some interesting relations among the special numbers and the solutions are observed.
- This document describes a transmission device and includes diagrams of its components and configuration information.
- Key elements include the GPS system, antennas, switches, and network interface cards along with their specifications and settings.
- Instructions are provided for configuring interfaces, checking module settings, and monitoring the status and performance of the device.
This document contains 7 practice problems related to signals and systems concepts:
1) Evaluating complex expressions involving a complex number z = 2eiπ/3
2) Showing relationships involving the real and imaginary parts of a complex number z
3) Deriving Euler's formula relations involving cosine and sine of an angle
4) Expressing complex functions in polar form and plotting the results
5) Showing an identity involving a complex exponential
6) Sketching various time shifts and time scalings of a signal x(t)
7) Evaluating definite integrals involving exponential functions
Similar to Bessel functionsoffractionalorder1 (20)
This document discusses various intellectual property business partners and aspects of intellectual property valuation. It describes different types of IP business partners like licensing agents, patent licensing companies, IP brokers, and IP-backed lending firms. It also discusses IP functions related to monetization and securitization. Additionally, it covers IP valuation considerations and provides examples of IP securitization schemes implemented in various countries to raise financing for small and medium enterprises. The document aims to outline the IP system and various players involved in monetizing intellectual property rights.
The document discusses various aspects of intellectual property (IP) systems and valuation. It outlines the key players involved in IP embodiment, including IP/technology development companies, licensing agents, patent licensing and enforcement companies, privateers, institutional IP aggregators, litigation finance firms, IP brokers, IP-based M&A advisory firms, and IP auction houses. These business partners engage in various arrangements to monetize IP for industrial and economic development benefits. The document also discusses IP systems, valuation, strategies, and audits as they relate to these business partners and IP monetization.
The document discusses liquidity issues and interest rates in Thailand. It analyzes how limited funds for financial institutions drained liquidity from the real sector and raised interest rates. It proposes injecting more money to allow interest rates to fall without harming financial institutions, benefiting the real sector. It also suggests setting a minimum deposit rate to compel banks to lend more, boosting the economy over the long run rather than focusing only on debt repayment.
This document discusses confluent hypergeometric functions, including:
1) Definitions of Kummer and Whittaker functions and their properties such as integral representations, connections to Bessel functions, recurrence relations, asymptotic expansions, and special cases.
2) Methods for numerically calculating zeros, turning points, and graphs of these functions.
3) References for further information. It also includes tables of values for the confluent hypergeometric function M(a,b,z) and zeros of M(u,b,z).
This document discusses mathematical properties related to combinatorial analysis. It covers basic numbers like binomial coefficients, multinomial coefficients, and Stirling numbers. It also covers partitions and number theoretic functions. For each topic, it provides definitions, generating functions, closed forms, relations including recurrences, and asymptotic values or special cases. It includes 9 tables providing values for various combinatorial sequences and functions for reference.
The document discusses Bernoulli and Euler polynomials and the Riemann zeta function. Section 23.1 covers properties of Bernoulli and Euler polynomials including generating functions, numbers, expansions, integrals, inequalities, and Fourier expansions. Section 23.2 discusses properties of the Riemann zeta function including its relation to sums of reciprocal powers and values at positive even and odd integers. Tables of coefficients, numbers, sums, and values are also included.
This document discusses the antioxidant benefits of oral carotenoids for protecting skin against photoaging. It notes that carotenoids are fat-soluble pigments found in plants that act as antioxidants by quenching reactive oxygen species. Studies show that carotenoids can help prevent UV-induced DNA damage and protect the skin and eyes against photoaging. Research also indicates that combinations of carotenoids with vitamins C and E may provide greater antioxidant protection than carotenoids alone. The document reviews how carotenoids can help reduce skin aging caused by oxidative stress and sun exposure.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
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How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
2. 436 BEBBEL FUNCTIONS OF FRACTIONAL ORDEB
page
Table 10.8. Modified Spherical Beasel Functions-ordera 0, 1 and 2
(01255). . . . . . . . . . . . . . . . . . . . . . . . . . . 469
&&In+* (5), 4ZG-i
(z>
n=O, 1, 2; ~=0(.1)5, 4-9D
Table 10.9. Modified Spherical Beasel Functions--Orders 9 and 10
(O<zl.p). . . . . . . . . . . . . . . . . . . . . . . . . . . 470
d 3 * l Z I n + i (2) xn+'J+GEKn+i (2)
~ = 9 10; ~=0(.1)5, 7-8s
,
e-'I* (4,(2/TWKn+i (z)
n=9, 10; z=5(.1)10, 6 s
6 exp [-z+n(n+ 1)/(2z)IIn~(z)
exp [z-n(n+1)/(2z)l~n+i(z)
n=9, 10; z-'=.1(-.005)0, 7-8s
. Table 10.10. M~dified Spherical Beasel Functione-Various Orders
(OIn5100) . . . . . . . . . . . . . . . . . . . . . . . . . 473
&Wn+l(z) , 45%+i (z)
n=0(1)20, 30, 40, 50, 100
z=1, 2, 5, 10, 50, 100, 10s
. Table 10.11. Airy Functions ( 0 5 2 1 -) . . . . . . . . . . . . . . 475
Ai&), Ai'(z), Bi(z), Bi'(z)
z=O(.O1)1, 8D
Ai(-z), Ai'(-z), Bi(-z), Bi'(-z)
z=O(.O1)1(.l)lO, 8D
Auxiliary Functions for Large Positive Arguments
Ai(z)=&z-%-Y(-€); Bi(z)=z-l/rdf([)
Ai'(z)=-42Y4e-(g(-€); Bi'(z)=z'/Wg(€)
c'=
f(f I),g(f [) ; )=&I+/', 1.5(- .l).5(- .05)0, 6D
Auxiliary Functions for Large Negative A r p e n t a
Ai(+ =z-"*lfi(O COB €+jd€) sin €1
Bi(-z)=z-l~'ffa(€) €-fi(€) sin €1
Ai'(-~)=z'/~[g~([) €-g2(€) cos €1
sin
Bi'(-z)=z'/Ygal€) sin €+gl(€)COB €1
f1(€)J f'(€1 9 9 (€) 9 (€1 ; €=
1 9 2 j2""
p = . 0 5 (-.01)0, 6-7D
Table 10.12. Integrals of Airy Functions (OIz110). . . . . . . . . 478
Ai(t)dt, z=0(.1)7.5;
SD': Ai(--t)dt, z=O(.l)lO, 7D
s,'Bi(t)dt; 2=0(.1)2; 1 Bi(--t)d, z=0(.1)10, 7D
Table 10.13. Zeros and Associated Valuea of Airy Functions and Their
Derivatives (1 1 8 1lo) . . . . . . . . . . . . . . . . . . . . 478
Zeroa a,, a;, b,, b; of Ai@), Ai'@), Bi(z), Bi'(z) and valuea of Ai'@,),
&(a;),Bi'(b,), Bi(b;) e=l(l)lO, 8D
Complex Zmos and Associated Valuea af Bi(z) and Bi'(z)
(1 5 8 5 5 )
Modulus and Phaae of Bi'(@,), Bi(8:) 8=1(1)5, 3D
The author acknowledge8 the eseietance of Bertha H. Walter and Ruth Zucker in the
preparation and checking of the tablea and graphs.
3. {
10. Bessel Functions of Fractional Order
Mathematical Properties
10.1. Spherical Beeeel Functions
Definitions
Werential Equation
10.1.1
$ " +2m'+[ 2-n(n+ 1) ]w=O
0
(n=O,*l, f 2 , . . .) Reprementotiomby Elementary Functions
Particular solutions are the Spherical Bessel 10.1.8
functions of thefist kind
j,(z)=z-'[P(n+*, 2) sin (z-+W)
jm(z>= W d n + i ( z ) +Q(n+h 4 COS (z-hll
the Spherical Bessel functions o the second kind
f 10.1.9
yn(Z)=(-l)m+lz-'[P(n+), Z) COS (Z+#TJT)
Ya(z) =AGYn++(z) ,
and the Spherical Bessel functions of the th&d -Q(n+3, Z) sin ( z + h ) l
kind
hP(z)=jn(z) +iya(z)=dGFHSt(z),
hia)(z>=jm(z)-iyn(z) = ~ Z H ; ~ + ( Z > .
The pairs jn(z), ya(z) and hil)(z), hf)(z) are
linearly independent solutions for every n. For
general properties s the remarks after 911
m ...
-9(-l)&(n+$, 2k)(22)-*
0
Ancending S e r i e a (&e 9.1.2.9.1.10)
10.1.2
2s 32'
'm(z)=l. 3 . 5 . . . (2n+1) '-1!(2n+3)
1..
013
="y 2k+1)(22)-"-'
(-l)&(n+*,
0
163.5.. . (2n-1) 33 (n=O, 1,2, . . .)
Y() -
mz= .p+ 1 l! (1-24
' 2 V n (3z')'
) (3-2%) - . . .}
(n=O, 1,2, . . .)
1680
16120 I 30240
437
4. FIGUSID js(~),
10.3. va(Z). ~=10.
Pohon's Integral and Gegenbauer's Generalization
10.1.13 jn(z)==2' s,- cos (2 cos e) sin2"+'8
ds
(See 9.1.20.)
10.1.14
-.3-
=z1 ( - i ) n l e'*coaep,,(cos e) sine&
F I G U B ~ j&). n=0(1)3.
10.1. (n=O, 1,2, . . .)
*See page II.
5. BESSEL FUNCTIONS OF FEtACTIONAL ORDER 439
Spherical Beaeel Functions of the !bond and T i d
hr
Kind
10.1.15
yn(2)=(-l)"+lj-n-1(2) (n=O, f l , f 2 , . . .)
10.1.16
hz)(z)=i-m-1z-1el'& (n++,k)(-2izl-k
0
10.1.17
n * (See 9.2.28.)
hi2'(z)= i R + l z - l e - i (n++ k) (2iz)
Z~
0
10.1.28 ( X Z M , =j:(2)
+ / ) f(2)
2 +y: (2)=2-2
10.1.29
(+X/Z>M,~,~(Z) +y;(z)
=j;(z) =~-~+2-'
10.1.30
0 n-2k
(n=O, 1,2, . . .)
Analytic Continuation
DHertmtiation Formulae
10.1.34 jn(zernri) ernnrfjn(z)
=
10.1.35 yn(zernrl) (-I)"'ernnrfyn(z)
=
10.1.36 h:)(~p.(~+l)~~
)= (-l)%;s)(z)
10.1.37 h:2)(ze(h+1)rt (-l)"h:Q(Z)
)=
10.1.38 h$ (zeMr*)
=hii) (z)
(Z=l, 2; m,n=O, 1,2, . . .)
Generatiqg Functiom
10.1.39
10.1.26
*SeePage n.
6. 440 BESSEL FUNCTIONS O FRACTIONAL ORDER
F
Fresnel Integrab
10.1.53
(See also 11.1.1, 11.1.2.)
Zeros and Their Asymptotic Expansions
The zeros of j,(z) and y() are the same as the
,z
zeros of Jn+&) Y,+)(z) and the formulas for
and
j.,, and y, given in 9.5 are applicable with
.,
v=n+#. There are, however, no simple relations
connecting the zeros of the derivatives. Ac-
cordingly, we now give formulas for a;,,, b;,,, the
8-th positive zero of j: (2) , y (2), respectively;
;
z=O is counted as the first zero of jA(z).
(Tables of a;,,, b L , jn(4J,
YnK.,) are given in
[10.311.)
Elementary Relatiom
fn(z) =jn(z) d+Yn(z) sin
(t a real parameter, 0 St 5 1)
If T,, is a zero of &(z) then
Some In6nite Seriee Involving j:(z)
10.1.50 2 (2n+l)j:(z)=l
0
10.1.51
m
sin
(-1)R(2n+1)j:(~)=3--22
0
10.1.52 10.1.57
7. BESSEL FUNCTIONS O FRACTIONAL ORDER,
F 441
McMahon's Expadons for n Fixed and a Large UniformAsymptotic Expansions of Zeros and
Aeeociated Values for n Large
10.1.58
10.1.63
d . 8 ~ b:,8-8-((c(+7) (8/3)-1
4
-- (7p2+154/~+95)(80))'~
3
-32 (85/~~+3535p~+356lp+6133)(8/3)-~
15
--
64 (6949p4+474908p3
+330638p2
105
+9046780p-5075147) (8/3)-'-- . . .
@=~(s+3n-3)for /3=*(s+$n)
for
p=(2n+1)2
{
Asymptotic Expansions of Zeros and Associated Values
for n Large
10.1.59
a;. -(n+3)+ .8086165(n+ 3)1/3-.236680(n+3) -'I3
-.20736(n+$)-1+.0233(n+$)--"/3+ . . .
10.1.60
b:, -(n+ 3) + 1.821098O(n+ 3)' p
11+~~xi(n+t)-"3b:i(n+3)-~}
k=l
+.802728(n+4) -m-.11740(n+4)
h&), z(€) are defined as in 9.5.26, 9.3.38, 9.3.39.
+.0249(n+$)-6/3+ . . . a:, b s-th (negative) real zero of Ai'(z), Bi'(z)
;
10.1.61 (see 10.4.95, 10.4.99.)
Complex Zeros of h!"(z), h!"'(z)
j,(a:, ') -.8458430(n+$) 1-
4'" .566032(n+3) -2/3
hil)(z) and hi')(z.em**), m any integer, have the
+.38081(n+3)-4@-.2203(n+3)-a+ . . .} same zeros.
hi1)(z) has nzeros, symmetrically distributed with
10.1.62 respect to the imaginary axis and lying approxi-
}
mately on the finite arc joining z=-n and z=n
&(b:, 1) 4 1 8 3 9 2 1 (n+4)-"'"{ 1-1 .274769(n+4))-2/3 shown in Figure 9.6. If n is odd, one zero lies on
+1.23038 (n+ 3) -4/3- 1.0070 (n+4)-2+ . . . the imaginary axis.
hi*)'(z)has n + 1 zeros lying approximately on the
See [10.31] for corresponding expansions for same curve. If n is even, one zero le on the
is
8=2, 3. imaginary axis.
9. BESSEL F " I 0 N S OF FRAcTlONAL ORDER 443
10.2. Modified Spherical Bessel Functions
Definitions
Differential Equation
10.2.1
1)
z2w" +2zw' - z2+n(n+ ]w=0
[
(n=O, f l , f 2 , . . .)
Particular solutions are the Modifid Spherka?
Bessel fum!;.nS o the$rst kind,
f
10.2.2
{
&$&++(z) = e-nri/*jn(zer*/a) (-r<arg z 5%.>
= e3nrf/2jn(~e-3rt/a) (I)lr<arg z 27)
o the second kind,
f
10.2.3
-I- ,++ (z)=ea(n+l)rt/ (2e
(-r<arg 2 5 31r)
-e-
- (n+1)rt/%~(~~-3rt/a)
(h<arg z5r)
o the third kind,
f
10.2.4 (n=O, 1,2, . . .)
(See 10.1.9.)
r n K + + ( Z =fr(-l)"+'dm[In+t(z) -I--)I-+(Z)l
)
10.2.12
The pairs
WzIn++(z),n Z I - n - + ( Z )
r &&zI,++(z)=g,(z) sinh z+g-n-l(z) cosh z
and go(2) =2-1, g1(z) = -2-2
dGmn++(Z) 9 rnZKn++(Z>
gn-1(4 -gn+1(z) = (2n+1) z-'gn(z>
are linearly independent solutions for every n. (n=O, f l , f 2 , . . .)
Most properties of the Modified Spherical
Bessel functions can be derived from those of the The Functions 1/&&2I*cn++,(Z), n=O, 1, 2 .
Spherical Bessel functions by use of the above
relations. 10.2.13
=z
Ascending %rim sinh
10.2.5 rnIl,2(Z> 2
sinh 2-- 3 cosh z
Z2
10.2.14
10.2.6 cosh z
1 . 3 . 5 . . . (2n-1) MZI-l/2(Z) =- Z
4GI-n-+(Z)= (-1)"2"+1
sinh z cosh z
-3,2 (2) =-
- -
3za +
&
+I
Z 22
'+1!(1-2n) 2!(1-%)(3-%) 3
(n=O, 1,2, . . .) --
I-
&
&)
&
=
22
sinh z+
f
*See page 11.
10. 444 BESSEL FUNCTIONS OF FRACTIONAL ORDER
Modified Spherical Besee1 Functions of the T i d Kind
hr
10.2.15
&&zKn++(z)
=3?rie"+1)~"2h~~)(ze*'f)
(-*<wg z 5.
31
--3,,.ie-
- (n+1)ri/2h(2)(ze-+rt)
I
O,,.<arg 2 54
=($?r/z)e-Z 5 (n++,k)(22)-~
0
10.2.16
K,+*(z)=K-~-~(z)(n=O, 1 , 2 , . . .)
The Functions m R n + + ( ~ ) , n = O ,2
1,
10.2.17 &@&(z)= (h/z)e-'
&?2GI2(z) = ($n/z)e-Yl+z-')
mK~,2(Z)=(3?r/Z)e-'(l+32-'+32-e)
Elementary Properties
Recurrence Relations
f&): r n L + * ( Z ) ,
(-l)"+'mKn++(Z)
(n=O, f l , &2, . . .)
10.2.18 fn-l(z) -fn+1(2) = (2n4-1)z-'fn(z)
d
(z>=@n+1) fn(z>
10.2.19 nfn-l(z)+(n+l)fn+l s
n+l d
10.2.20 7fn(z) +&fn(4 =fn-1(z)
(See 10.2.22.)
n d
10.2.21 --fn(z)
Z
+-&fn(z) =fn+1(z)
(See 10.2.23.)
DifYerentiation Formulae
fn(2): r n L + * ( Z ) , (-w+1m&++(4
(n=O, k l , ~ 2 ,. . )
10.2.22 (; g J k + I=
'f.(z) Zn-m+'f,-,(z)
10.2.23 (5 -g>l -y n
[z (2) I =z -n-mfn+m (2)
10.5. -&&+*(z),
FIQURE &K,.++(z). z=10.
(m=1,2,3,. . . )
11. BESSEL FUNCTION8 OF FRACTIONAL ORDER 4.45
Formulas of Rayleigh's Type Addition Theorems and Degenerate Forms
T, p, 6, X arbitrary complex; R=,@+p2-2rp coa 6
10.2.35
10.2.25
(n=O,1,2, . . . )
=l
- n (.-1)k+1 (2n-k) ! (2n-2k)!
(22)%-*"
2 3 0 k! [(n-k) I]*
10.3. Riccati-Beasel Functions
DilTerential Equation
Generating Functiom 10.3.1
16.2.30 9w"+ [z5 -n(n +l)]w=0
(n=O, f l , f 2 , . . .)
Pairs of linearly independent solutions are
zjn(z), q/n(z)
(2I t I <I)
Iz
10.2.31 &p' (z), zhp (2)
All properties of these functions follow directly
from those of the Spherical Besael functions.
The Functiom zj,(z) zy&) n=O, 1, 2
Derivativea With Reapect to Order
10.3.2
10.2.32
zy'o(z)=sin 2, Zj,(z)=z-'sin 2-cos 2
zy'2(Z)=(3Z-2-1) S h 2-32' COB 2
10.3.3
10.2.33 q/&)=-cos 2, q/1(2)=-sin 2-2-1 cos 2
2&(2)=-32-' Sin 2-(32-'-1) COB 2
WTOMkiIUM
10.3.4 W{zy'n(z),zYn(z)}=l
10.3.5 W{z@)(z), zhF)(~)}
=-2i
For El(z)and Ei(z), see 5.1.1, 5.1.2. (n=O, 1,2, . . .)
*See page n.
12. 446 BESSEL FUNCTIONS OF FRACTIONAL ORDER
10.4. Airy Functions 10.4.12 W{Ai(z), Ai ( ~ e - ~ * ~ / ~ ) }
=&r-lerfl6
Definitions and Elementary Properties 10.4.13 W{Ai ( ~ 6 ~ , ~ ~ (1 e - )
Ai ~ ~ ~ *~/~)}
=4ir-1
Differential Equation
10.4.1 w" -zw=o
Pairs of linearly independent solutions are
Ai (z), Bi (z),
Ai (z), Ai ( 2 W 3 ),
Ai (z), Ai ( ~ e - ~ ~ ~ / ~ ) .
Ascending Series
10.4.2 Ai (z) =clf(z) -c2g(z)
10.4.3 Bi (z) = & [cJ(z) +c~g(z)l
1 1-4 1.4.7
f(z)=i+- z3+- z6+- zO+. . .
3! 6
! 9!
=$ 3kk);( G!
2 2.5 2.5.8
g(z)=z+-4! z4+- 7 ! z7+- lo! zl0+ . . .
23k+1
=$ 3k ( )
gk (3k+l)!
(a+$),=l
3k(a+i)k=(3sl+1)(3a+4) . . . (&+3k-2)
(a arbitrary; k=l, 2, 3, . . .)
(See 6.1.22.)
10.4.4
el=& (O)=Bi (0)/8=3-~fi/r(2/3)
=.35502 80538 87817
10.4.5
c2=-Ai' (@)=Sif(0)/fi=3-ifl/r(1/3)
=.25881 94037 92807
Relations Between Solutions
10.4.6- Bi (2)=erfnAi (a"'/"> Ai (ze-*"fl)
+e+@
10.4.7
Ai (z)+e"fn Ai (a2rtD) +e-2*iD Ai (a-2rfn)=o
10.4.8
Bi (2) +e*fn Bi (=2r*/g> +e--2rfn Bi (=-*rim) =O
(2)G
10.4.9 Ai (~e*~~'/~)=)e*'~/~[Ai Bi (z)]
Wl-OMkifUl9
10.4.10 W{Ai (z), Bi (z)}= T - ~ .."
I
~
10.4.11 W{Ai (z), Ai ( ~ e ~ * ~ =+r-1e-rf/6
/~)} FIGURE
10.7. Bi (~zz),
Bi' (*4.
13. BESSEL FUNCTIONS O F FRACTIONAL ORDER 447
10.4.30 I*2n({)=(@/2z)[f43 Ai'(z)+Bi'(z)]
10.4.31 K*2n({) ( ~ / z ) Ai' (z)
=- T
{
Integral Representations
10.4.32
(3a)-% Ai [f (3a)-lBz]=Lm (at3ffzt)dt
cos
10.4.33
=l
(3a)-lB7r Bi [f (3a)-lnz]
[exp (--at3ffzt)+sin (at3fzt)ldt
The Integrals l' Ai ( f t)dt, la Bi ( f t ) d t
=#z3/2
10.4.34 l Ai (t)dt=$ s,' [1-113(t)-111&)b!i
10.4.35 Ai (-t)dt=-
:sd [J-113(t)+J113(t)]dl
Ascending Series for is Ai ( f Qdt, is Bi ( f t)dt
Representations of Beosel Functions in Terms of Airy
Functions
10.4.38 l Ai (t)dt=clF(z)-c2G(z)
(See 10.4.2.)
10.4.39 1 Ai (-t)dt=-clF(-z)+c2G(-z)
10.4.22 5*1/3({)=)m[& Ai (-z)FBi
90.4.23 (-z)-i
H:'l,3({)=e~d/6m[Ai
(-2))
Bi (-z)]
10.4.40 1 Bi (t)dt=@[clF(z)+c2G(z)l
(See 10.4.3.)
10.4.24 H2',,,({)=efd1"m[Ai(-z)+i Bi (-z)] 10.4.41
10.4.25 1*l/a({)=$mz[r& Ai (z)+Bi (z)] s,'Bi (- t)dt= -fi[clF(- z) +c2G(- z) I
10.4.26 K*ln(l) =rm
Ai (z) 1 1.4 1.4.7
F(z)=z+- z4+-7 z7+- 1O ,lo+ . . .
10.4.27 J,tzn({)=(J3/2z)[fJ3 (-z)+Bi'(-z)]
Ai' 4
! ! !
10.4.28
Hi({)=e-2rf /3H(l)
it -21&)
=erf~'(J3/z)[Ai'
(-2)-i Bi' (-41 G(z)=B z'+-2 z~+-z'+-z~'+ 5 . 8
1 2.5 2. . .
5! 8! ll!
10.4.29 p + 2
Hi~~({)=e2rf/3H~z~1a({) =$ ":(
k
) (3k+2)!
(J3/z)[Ai' (- z) +i (- z)]
Bi' The constanta cy,c2 are given in 10.4.4, 10.4.5.
'See page n.
14. 448 BESSEL FUNCI’IONS OF FRACTIONAL ORDER
Tbe Functions Gi(z), Hi+) Difterential Equations for Gi (z), Hi (z)
10.4.42 10.4.55 w’-zw=-?r-l
Gi ( ~ ) = r - ~ ~ ~ s i n ( i t ~ + z t ) d t
1 1
w(0) =- Bi (0) =- Ai (0) = .20497 55424 78
3 6
=IBi (z)+
3 s,’[Ai(z) Bi (t)-Ai (t) Bi (z)]dt
(
1
w’(O)=-Bi’ O ) = - l Ai’(0)=.14942 94524 49
10.4.43 3 6
w(z)=Gi(z)
Gi’@)=:Bit (z)+J’[Ai’(z) (t)-Ai (t) Bi’(z)]dt
Bi
3 0
10.4.56 - w’ -zw= r-1
’
10.4.44 2
w(O)=- Bi
3
(O)=A (0)=.40995 10849 56
6
Ai
Hi(z)=s-’fomerp(-i P+zt) dt
2 2
w’(O)=-Bi’(O)=-- Ai’(0)=.29885 89048 98
=-Bi (z)+
3 s , ’
“
[Ai (t) Bi (2)-Ai(z) Bi(t)]dt 3 fl
w(z)=Hi (z)
10.4.45
2 Differential Equation for Products of Airy Functions
Hi’(z)=3Bi’
(z)+
s,’[Ai (t) Bi’(z)-Ai’(z) (t)]dt
Bi
10.4.57 w’ -4ZW’ -2w=o
“
10.4.% Gi (z)+Hi (z)=Bi (z) Linearly independent solutions are Ai2
s’
(2))
Representations of 1’ Ai( f t)&, Bi( f t)&
Ai (z) Bi (z), Bi2 (2).
Wronskian for Products of Airy Functions
by Gi (kz), (*z)
Hi
10.4.47 10.4.58 W{Ai2(2))Ai (z) Bi (2)) Bi2 (z) ]=27r3
1
b i (t) d t =-+ T[ (z)Gi (z) -Ai (z)Gi’ (z)]
Ai’ Asymptotic Expansions for Iz( Large
3
10.4.48
=--- n[Ai’(2) Hi (2)-Ai (z) Hi’(z)]
3
10.4.49 +I a=-- 6k+l ck
) k
6k-1
(k=1,2, 3, . . .)
1
b i (-t)dt=----?r[Ai’ (-2) Gi (-2)
3
-Ai (-2) Gi’(-41
10.4.50
=?+r[Ai’ (-2) Hi (-2)
3
-Ai (-z)Hi’ (- z) ]
10.4.51
1 Bi (t)dt=?r[Bi’ Gi (2)-Bi
(2) (2) Gi’(z)]
10.4.52 =-r[Bi’ (z) Hi (2)-Bi (z) Hi’(z)]
10.4.53
l* Bi (-t)dt=--?r[Bi’ (-2) Gi (-2)
-Bi (-2) Gi’(-z)]
10.4.54 =*[Bi’ (-2) Hi (-2)
-Bi (-2) Hi’(-z)]
15. BESSEL F U " I O N S OF FRACTIONAL ORDER 449
10.4.62 10.4.70
Ai' (-Z)--T-+Z* Ai' (--s)=N(z) cos +(s),Bi' (-r)=N(z) sin+(t)
N(z)=JIAi'o (--s)+Bi'2 (-s)],
+(s)=arctan [Bi' (-t)/Ai' (-2)l
Differential Equations for Modulue and Phase
Primes denote differentiation with respect to x
10.4.71 -r-l, W+'= *-Ix
-
10.4.72 jV2,M~i!+M2p=M'2 + r-2M-2 *
10.4.73 NN'=-xMM'
10.4.74
tan (+-e)=Me'/M'= -(TA4M')-1,
MNsin (+-e)=r-l
10.4.75 M"+xM- r - 2 ~ - 3 = ~
10.4.76 (M2)"'+4s(M2)'-2&f2=0
10.4.77 e'2+ q(e"'/e') -f ( e " / e y = X
Asymptotic Expansione of Modulus and Phase for
Large z
10.4.78 M2(z) 1 x-'"--7r
ao
0
ip-jg-23k
(-'Ik (i) I
(2~)-3k
10.4.79
-- (ZZ)-D+
82825
128 14336
10.4.80
10.4.68
10.4.81
Bi' (~e*"l~)
49527 1 2065 30429 (2s)-12+
+- 640 (2s) 2048 . . .]
Asymptotic Forms o f p (f t) & p for Large z
, f t)&
( i
(la% 4<
3
10.4.69
Modulus and Phase
10.4.82 I A i (t)dt-i-l 2 7r-1/2x-3/4
3 exp (-: 212)
Ai (--5)=M(z) cosB(z), Bi (-s)=M(s) sin e(r) 10.4.83
M(s)=d[Ai2 (--s)+Bi2 (-z)],
+)=arctan [Bi (-x)/Ai (-s)]
'See page 11.
16. 450 BESSEL FUNCTIONS OF FRACTIONAL ORDER
10.4.84 l (:
Bi ( t ) d t - ~ - ~ / ~ zexp / ~
-~ z3l2)
Asymptotic Forms of Gi (kz), (kz),Hi (kz), (kz)
Gi‘ Hi’
for Large z
10.4.86 Gi (z)-x-lz-’
10.4.87 Gi (-z) -7r-l?~-l/~ cos (; z3/2+3
-1080 56875 z-8
10.4.88 Gi’(z)
7
96
--
x-W2
69 67296
16 23755 96875 z-lo, . . .)
+ 3344 30208
sin
10.4.89 Gi’(--5)-1~-~/~2~/~ (f ill+$)
g(z)-z2/3(1-, 7 z-2+- 35 z-*-- 181223 z-6
- l / (3z312)
Hi (z)- ~ - ‘ / ~ z exp ~ 288 207360
10.4.90
10.4.91 Hi (-z) -7r-Iz-’ 186 83371 z-8
+ 12 44160
10.4.92 Hi‘(x) -x-1/2x1/4
exp (W2) -9 11458 84361
1911 02976
.. .)
10.4.93
Zeros and Their Asymptotic Expansions
Ai (z), Ai’(z) have zeros on the negative real
+23 97875 z-6-
6 63552
... )
axis only. Bi (z), Bi’(z) have zeros on the nega-
tive real axis and in the sector f<
xl arg z<7.
1r
$
a,, a:; b b: s-th (real) negative zero of Ai (z),
,
Ai’(2); Bi (z), Bi’(z), respectively. B,, /3:; 2 8 , -843 94709 z-6+
265 42080
.. .)
s-th complex zero of Bi (z), Bi’(z) in the sectors
&r<arg ,<
bz -+,x<arg z<-fx, respectively. Formal and Asymptotic Solutions of Ordinary Differ-
ential Equations of Second Order With Turning
10.4.94 a,= - j [ 3 ~ ( 4 ~ -1)/8] Points
10.4.95 a:= -g[3~(4~-3)/8] A n equation
10.4.96 Ai’(a,) = (- 1)8-!f1[3~(4s-l)/81 10.4.106 W”+a(z, X)W’+b(z, X)W=O
10.4.97 Ai (a:)=(-1)a-1g1[3a(4s-3)/81
in which X is a real or complex parameter and,
for fixed X, a(z, X) is analytic in z and b(z, A) is
10.4.98 b, = -f[ 3~ (49-3)/8] continuous in z in some region of the z-plane, may
be reduced by the transformation
10.4.99 b:= - g [ 3 ~ ( 4 ~ -1)/8]
10.4.107 W(z)=w(z) exp ( - i s ’ a ( t , h)dt)
10.4.100 Bi’(b,) = (- 1)8-!f1[3~(4s-3)/8]
10.4.101 Bi (b:) = (- 1)’g1[3r(4s- 1)/8] to the equation
10.4.102 @,=erf/3f (4s-l)+-
3i
4
In 2
1 10.4.108
w”+(o(z, X)w=O
10.4.103 @:=erf/3g (4s-3)+-
3i
4
In 2
1 q(z,
1 I d
X)=b(z, X)-- 4 uqz, A)-- 2 - a(z, ’1
dz
*See page 11.
17. BESSEL FUNCTIONS O FRACTIONAL ORDER
F 451
If p(z, X) can be written in the form 10.4.114
10.4.109 p(z, X)=X'p(z)+q(z, A) yo@)=Ai (-P x ) [1 + O(X-91
where q(z, X) is bounded in a region R of the z- =Bi (- X2%)[ 1 + O(X-91
yl(x) (1x1+m )
plane, then the zeros of p(z) in R are said to be For further representations and details, we refer
turning points of the equation 10.4.108. to (10.41.
The Special Case w"+[A*z+q(z, X)]w=O When z is complex (bounded or unbounded),
conditions under which the formal series 10.4.110
Let X=IX(eiU vary over a sectorial domain S: yields a uniform asymptotic expansion of a solu-
IXl>A,,(>O),o l S w S w 2 , and suppose that q(z, X) is tion are given in [10.121 if q(z, A) is independent
continuous in z for Ilr z< and X in S, and q(z, X) of X and IXI+m with fixed w, and in 110.141 if X
-2q.(z)~-. as
0
in S. lies in any region of the complex plane. Further
references are [10.2; 10.9; 10.101.
Formal Series Solution The General Case w"+[Agp(z)+q(z, A)]w=O
10.4.110
w(z)=u(z) 5 p.(z)X-*+X-'u'(z)
0
OD
J.,(z)X-" Let X=IXJefWwhere IXl2b(>O) and - - ? r l w ~ - ? r ;
suppose that p(z) is analytic in a region R and has
u" +Pzu=O a zero z=% in R, and that, for fixed A, q(z, A) is
analytic in z for z in R. The transformation
~(z)=c0, J.o(~)=~-f~l, co,e constants
, €=€(z),v=[p(z)/#"W(z), where [ is defined as
the (unique) solution of the equation
10.4.115
yields the special case
(n=O, 1,2, . . .) 10.4.116 -
+
dzv [X2€+j(€, X)]v=O, *
dE2
uniform hpnptotic Expand0118Of %lUtiOns
For z real, i.e. for the equation
10.4.111 9'' +[XSZ+ &, A) I
Y
' 0 Exumple:
where x varies in a bounded interval aSxSb that Consider the equation
includes the origin and where, for each fixed X in S, 10.4.117 y"+[Xz-((xz-~) s-~]Y=O
q(z, A) is continuous in x for a 5s5b, the following
asymptotic representations hold. for which the points x=O, are singular points
(i) If X is real and positive, there are solutions and x=1 is a turning point. It has the functions
yo(x), yl(x)such that, uniformly in x on a_<xlO, ZVA(AZ),A ( ~ z ) particular solutions (see
~Y as
9.1.49).
10.4.112 The equation 10.4.115 becomes
yo(s)=Ai ( - P x ) [1 +O(h-')] (A+- )
y,(x)=Bi ( - P Z ) [ ~ + O ( ~ - ~ ) ]
whence
and, uniformly in x on 0 5 z S b
10.4.113
yo@) =Ai (- W x )[1+ O(X-')] +Bi (- A%) O(X-l),
yl(z)=Bi (-X*flx)[l+O(X-l)]+Ai (-Xzfl~)o(X-~)
0-m)
Thus
(ii) If 52RXl0, A f O , there are solutions
YO(Z), y~(z)such that, uniformly in x on a<x<b, 10.4.118 v(€) =(Fy Y(Z)
'See page n.
18.
19. BESSEL FUNCTIONS OF FRACTIONAL ORDER 453
Example 2. Compute &(x) for x=24.6. Modified Spherical Beseel Functiom
Interpolation in Table 10.3 yields for x=24.6
~ - ~ ~ e Z ” * ~ (x) = (-28) 3.934616
j21
To compute &~I,,++(x), &&L+,(x), n=O,
1, 2, . . . for values of x outside the range of
~ - ~ e Z ’ / ~ (2)= (-27)9.48683
j20
whence Table 10.8, use formulas 10.2.13, 10.2.14 together
with 10.2.4 and obtain values for the hyperbolic
j21(24.6)=.05604 29, &0(24.6)=.03896 98. and exponential functions from Tables 4.4 and
From the recurrence relation 10.1.19 there 4.15. In those cases when J$&I,,++(~) and
results MxI-,,-+(x) are nearly equal, i.e., when x is
j19(24.6)= .00890 67660 [.00890 701 sufficiently large, compute mxK,,+*(x) from
j18(24.6)=-.02484 93173 [-.02485 901 formula 10.2.15, for which the coefficients (n+ 3, k)
j1,(24.6)= -.04628 17554 [- .04628 161 are given in 10.1.9.
j1,(24.6)= -.04099 87086 [- .04099 881
Example 3. Compute J~*/xI,,~(x), J~*~xK,~~(x)
j16(24.6)=-.00871 65122 [-.(lo871 671 for z=16.2.
For comparison, the correct values,are shown in From 10.2.13, &&166/2(x) = (3 +2) sinh x/2-
brackets. 3 cosh 212‘; from Table 4.4, cosh 16.2=(6)5.4267
To compute j15(x)for x=24.6 by Miller’s de- 59950 and this equals the value of sinh 16.2 to the
vice, take, for example, N=39 and assume same number of significant figures. Hence
FdO=O, F,,=l. Using 10.1.19 with decreasing N,
i.e., FN-l=[(2N+l)/x]FN-FN+l,N=39, 38, . . ., 1/$~/16.216/2(16.2)(.06243 402371
=
1, 0, generate the sequence F38,
F3,, . . Fl, F,
, .,’
-.01143 118427)[(6)5.4267 599501
compute from Table 4.6, j0(24.6)=(sin 24.6)/24.6 = 338814.4594- 62034.29298
- -.02064 620296, and obtain the factor of pro- =276780.1664.
portionality To compute J4?r/16.2K6,,(16.2) use 10.2.17 and
p=jo(24.6)/Fo= .OOOOO 03839 17642. obtain
The value pF16 equals j16(24.6) to 8 decimals. 4 m 2 K 5 / 21( =re
6.2) 6
The final part of the computations is shown in
the following table, in which the correct values = (-7)2.8945 38069[.036932 604001
are given for comparison.
= (- 8) 1.0690 28283.
I
N j~ (24.6) To compute m , + 5 n ( , ) a
I, + 8xfor
3 I ,
value of z within the range of Table 10.9, obtain
15 -22704.71107 -. 00871 67391 -. 00871 674 from Table 10.9, & IQ ) .1&$12,D(x) for
&l &,
14 +78178.88236 +. 03001 42522 t. 03001 425
13 f114866.80811 +. 04409 93941 f. 04409 939 the desired value of x and use these as starting
12 + 47894. 44353 +. 01838 75218 t.01838 752 values in the recurrence relation 10.2.18 for
11 -66193.59317 -. 02541 28882 -. 02541 289
10 -109782. 76234 -. 04214 75392 -.04214 754 decreasing n.
9 -27523.39903 -. 01056 67185 -.01056 672 To compute mxK.++(z)for some integer n
8 +88524.85252 +. 03398 62526 f. 03398 625
7 i-88699. 11017 +. 03405 31532 f . 03405 315 outside the range of Table 10.9, obtain from
6 -34440.02929 -. 01322 21348 -.01322 213 10.2.15 or from Table 10.8, m x K + ( x ) ,
5 -106899. 12565 -. 04104 04602 -. 04104 046
4 - 13360.39272 -. 00512 92905 -.00512 929 WxKal2(x) for the desired value of x and use
3 +102011. 17704 +. 03916 38905 f. 03916 389
2 +42387. 96341 +. 01627 34870 f.01627 349 these as starting values in the recurrence relation
1 -93395. 73728 -. 03585 62712 -. 03585 627 10.2.18 for increasing n. If x lies within the
0 -53777.68747 -. 02064 62030 -. 02064 620
range of Table 10.9 and n>10, the recurrence
may be started with 43?rlzK19,2(x), -K21n(x)
It may be observed that the normalization of the obtained from Table 10.9.
sequence F , FN-l, . ., Focan also be obtained
N . Example 4. Compute r n K l l D ( x ) for x=3.6.
from formula 10.1.50 by computing the sum Obtain from Table 10.8 for x=3.6
u=g 0
(2k+l)F: and h d i n g p=l/& This
yields, in the case of the example, p=l/&=
.OOOOO 03839 177.
20. 454
The recurrence relation 10.2.18 yields successively
-J3~/3.6K5/2(3.6) -.01192 222
=
---.02461 718
-
-dm6K,/2(3.6) = -.02461 718
--.12072 034
-
&r/3.6KlI/2(3.6) .04942 4480
=
=.35122 533.
--
3.6
d m K r D ( 3 . 6 )= .01523 3952
= .04942.4480
+c6 718)
5
(.01523 3952)
(.02461
-- (.04942 4480)
3.6
+c6 034)
9
(.12072
As a check, the recurrencecan be carried out until
n=9 and the value of J m K l , n ( 3 . 6 ) so obtained
can be compared with the corresponding value
from Table 10.9.
To compute =I,,+&) when both n and z
~’(x),
{
BESSEL FUNCTIONS OF FRACTIONAL ORDER
respectively, the following formulas may be
used, in which d, d’
3!
u4
4!
V’
2!
2! 31-
denote approximations to e, c’
and u=y (d)/y (d), v= y ’(d’)/d’’y(d’).
’
c=d-~-2d -+2 --24d2
u3
+88d $-(88+720@)
+5856d28!
03
3!
-
U6
5!
-(105+76d‘3+24d’6)$
$
u“-(16640d+40320d4)~+. . .
c’=d’ 1-~---(3+2d’~)--(15+10d’~)-
-(945+756dt3+272dt6)$- . . .}
l-d -+- 3
Y’(C)=Y’(~) u’ u 3d2q?+14d-b
I 4
-(14+45@)g+471da fi
uQ u7
U
5!
-(1432d+l575d4)g+. . .
-(15d/3+14d’3$
US
-v4
4!
{
are outside the range o Table 10.9, use the device
f
described in t9.201.
Airy Functions
-(105d’3+101d’”+45d’4)~-. .}
.
To compute Ai(z), Bi(x) for values of x beyond Example 6. Compute the zero of y(z)=Ai(x)
1, use auxiliary functions from Table 10.11. -Bi(z) near d= -.4.
Example 5. Compute Ai(z) for 2=4.5. From Table 10.11,
Firet, for x=4.5,
[=#$”‘=6.363961029, c1=.15713 48403. -
g(-.4)=.02420 467, y‘( .4)= -.71276 627
Hence, from Table 10.11, f(-E) = .55848 24 and whence u=y(-.4)/y’(-.4)= -.03395 8776. From
thus the above formulas
Ai (4.5) ~=-.4+.03395 8776-.OOOOO 5221
=$(4.5)-u4(.5584824) exp (-6.36396 1029) +.ooooo 01 11 +.ooooo 0001
=$(.68658 905)(.55848 24)(.00172 25302) - .36604 6333.
_
Y’(c) (- .71276 627) 1 + .00023 0640
=
= .00033 02503. -.OOOOO 6527 -.OOOOO 0027 +.OOOOO0002)
To compute the zeros c, c’of a solution y(z) of = (- .71276 627)(1.00022 4088)
the equation y”-xy=O and of its derivative --.71292 599.
-
21. BESSEL FUNCTIONS OF FRACTIONAL ORDER 455
References
Texts Tables
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205-308 (1944), in particular, pp. 229-240. functions of order half and odd integer of the
[10.2] T. M. Cherry, Uniform asymptotic formulae for first and second kind, Ballistic Research Labora-
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linear differential equations of the second order, 1945).
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Astr. Soc., Geophys. Suppl. 2, 101-111 (1928).
[10.23] C. W. Jones, A short table for the Bessel functions
[10.8] H. Jeffreys, On the use of asymptotic approxima-
tions of Green's type when the coefficient has Zn++(z), (2/r)Kn+4(2) (Cambridge Univ. Press,
Cambridge, England, 1952).
zeros, Proc. Cambridge Philos. Soc. 52, 61-66
(1956). [10.24] J. C. P. Miller, The Airy integral, British h o c .
[10.9] R. E. Langer, On the asymptotic solutions of Adv. Sci. Mathematical Tables, Part-vol. B
differential equations with an application to the (Cambridge Univ. Press, Cambridge, England,
Bessel functions of large complex order, Trans. 1946).
Amer. Math. Soc. 34, 447-480 (1932). t10.251 National Bureau of Standards, Tables of spherical
[10.10] R. E. Langer, The asymptotic solutions of ordinary Bessel functions, vols. I, I1 (Columbia Univ.
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