The document presents several theorems regarding bounds on the locations of zeros of polynomials. Theorem 1 provides a ring-shaped region containing all zeros of a polynomial P, given certain inequalities involving the polynomial's coefficients and parameters t1, t2, Ξ±, and R. Corollaries 1-4 deduce special cases of Theorem 1 by setting t2=0 or t1=R=1. Theorem 2 gives a circular region bounding the zeros. Theorem 3 generalizes an earlier result to a ring-shaped region for complex coefficients and parameters.
The document discusses Legendre polynomials, which are special functions that arise in solutions to Laplace's equation in spherical coordinates. Some key points:
1) Legendre polynomials Pn(cosΞΈ) are a set of orthogonal polynomials that satisfy Legendre's differential equation.
2) Pn(cosΞΈ) can be defined using a generating function or by taking partial derivatives of 1/r.
3) Important properties of Legendre polynomials include P0(t)=1, Pn(1)=1, Pn(-1)=(-1)n, and a recurrence relation involving Pn+1, Pn, and their derivatives.
This document discusses Hermite polynomials and their properties. It begins by introducing the Hermite equation, which arises from the theory of the linear harmonic oscillator. The Hermite equation is then solved using a series solution approach. Explicit formulas for the Hermite polynomials Hn(x) are derived for n=0,1,2,3,... using properties of the Hermite equation like recursion relations. Key properties of the Hermite polynomials like generating functions, even/odd behavior, Rodrigue's formula, orthogonality, and recurrence relations are also proved.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IIRai University
Β
This document provides an overview of Unit II - Complex Integration from the Engineering Mathematics-IV course at RAI University, Ahmedabad. It covers key topics such as:
1) Complex line integrals and Cauchy's integral theorem which states that the integral of an analytic function around a closed curve is zero.
2) Cauchy's integral formula which can be used to evaluate integrals and find derivatives of analytic functions.
3) Taylor and Laurent series expansions of functions, including their regions of convergence.
4) The residue theorem which can be used to evaluate real integrals involving trigonometric or rational functions.
Some properties of two-fuzzy Nor med spacesIOSR Journals
Β
The study sheds light on the two-fuzzy normed space concentrating on some of their properties like convergence, continuity and the in order to study the relationship between these spaces
Let Pn(x) be the Legendre polynomial of degree n. Then the generating function for Pn(x) is given by:
β
1
Pn(x)tn = β
n=0
1 β 2xt + t2
Differentiating both sides with respect to t, we get:
β
βnPn(x)tn-1 = -xt(1 β 2xt + t2)-1/2 + (1 β 2xt + t2)-3/2
n=1
Multiplying both sides by (1 β 2xt + t2)1/2, we get:
β
β
This document provides an overview of vector integration, including line integrals, surface integrals, and volume integrals. It defines each type of integral and provides examples of evaluating them. For line integrals, it discusses work, circulation, and path independence. Surface integrals are defined as the integral of the normal component of a vector field over an enclosed surface. Volume integrals integrate a vector field over a three-dimensional volume. Worked examples demonstrate evaluating specific line, surface, and volume integrals.
This document provides lecture notes on complex analysis covering four units of content:
1) The index of a close curve, Cauchy's theorem, and entire functions.
2) Counting zeroes, meromorphic functions, and maximum principle.
3) Spaces of continuous and analytic functions, and behavior of functions.
4) Comparison of entire functions, analytic continuation, and harmonic functions.
It also provides definitions and theorems regarding integrals over rectifiable curves, winding numbers, and Cauchy's theorem. Exercises and proofs are included.
Further Results On The Basis Of Cauchyβs Proper Bound for the Zeros of Entire...IJMER
Β
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessmentβ¦. And many more.
The document discusses Legendre polynomials, which are special functions that arise in solutions to Laplace's equation in spherical coordinates. Some key points:
1) Legendre polynomials Pn(cosΞΈ) are a set of orthogonal polynomials that satisfy Legendre's differential equation.
2) Pn(cosΞΈ) can be defined using a generating function or by taking partial derivatives of 1/r.
3) Important properties of Legendre polynomials include P0(t)=1, Pn(1)=1, Pn(-1)=(-1)n, and a recurrence relation involving Pn+1, Pn, and their derivatives.
This document discusses Hermite polynomials and their properties. It begins by introducing the Hermite equation, which arises from the theory of the linear harmonic oscillator. The Hermite equation is then solved using a series solution approach. Explicit formulas for the Hermite polynomials Hn(x) are derived for n=0,1,2,3,... using properties of the Hermite equation like recursion relations. Key properties of the Hermite polynomials like generating functions, even/odd behavior, Rodrigue's formula, orthogonality, and recurrence relations are also proved.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IIRai University
Β
This document provides an overview of Unit II - Complex Integration from the Engineering Mathematics-IV course at RAI University, Ahmedabad. It covers key topics such as:
1) Complex line integrals and Cauchy's integral theorem which states that the integral of an analytic function around a closed curve is zero.
2) Cauchy's integral formula which can be used to evaluate integrals and find derivatives of analytic functions.
3) Taylor and Laurent series expansions of functions, including their regions of convergence.
4) The residue theorem which can be used to evaluate real integrals involving trigonometric or rational functions.
Some properties of two-fuzzy Nor med spacesIOSR Journals
Β
The study sheds light on the two-fuzzy normed space concentrating on some of their properties like convergence, continuity and the in order to study the relationship between these spaces
Let Pn(x) be the Legendre polynomial of degree n. Then the generating function for Pn(x) is given by:
β
1
Pn(x)tn = β
n=0
1 β 2xt + t2
Differentiating both sides with respect to t, we get:
β
βnPn(x)tn-1 = -xt(1 β 2xt + t2)-1/2 + (1 β 2xt + t2)-3/2
n=1
Multiplying both sides by (1 β 2xt + t2)1/2, we get:
β
β
This document provides an overview of vector integration, including line integrals, surface integrals, and volume integrals. It defines each type of integral and provides examples of evaluating them. For line integrals, it discusses work, circulation, and path independence. Surface integrals are defined as the integral of the normal component of a vector field over an enclosed surface. Volume integrals integrate a vector field over a three-dimensional volume. Worked examples demonstrate evaluating specific line, surface, and volume integrals.
This document provides lecture notes on complex analysis covering four units of content:
1) The index of a close curve, Cauchy's theorem, and entire functions.
2) Counting zeroes, meromorphic functions, and maximum principle.
3) Spaces of continuous and analytic functions, and behavior of functions.
4) Comparison of entire functions, analytic continuation, and harmonic functions.
It also provides definitions and theorems regarding integrals over rectifiable curves, winding numbers, and Cauchy's theorem. Exercises and proofs are included.
Further Results On The Basis Of Cauchyβs Proper Bound for the Zeros of Entire...IJMER
Β
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessmentβ¦. And many more.
This document discusses vector differentiation and provides examples and exercises. Some key topics covered include:
- The definition of scalar and vector point functions
- Vector differential operator Del (β)
- Gradient of a scalar function and its properties
- Normal and directional derivatives
- Divergence and curl of vector functions
- Examples calculating gradients, directional derivatives, and verifying identities
- Exercises involving finding normals, gradients, directional derivatives, and divergence
The document discusses scaling sets and MRA wavelet sets, which are measurable sets associated with multiresolution analyses and wavelets. It provides definitions and theorems characterizing scaling sets and MRA wavelet sets. Some simple examples of scaling sets and MRA wavelet sets are given as finite unions of intervals. The document then poses questions about the properties of general wavelet sets and provides counterexamples to ideas about possible restrictions on their structure. Finally, more complex examples of scaling sets and MRA wavelet sets are constructed using Rademacher functions.
On Certain Classess of Multivalent Functions iosrjce
Β
In this we defined certain analytic p-valent function with negative type denoted by νν
. We obtained
sharp results concerning coefficient bounds, distortion theorem belonging to the class νν
.
B.tech ii unit-5 material vector integrationRai University
Β
This document discusses various vector integration topics:
1. It defines line, surface, and volume integrals and provides examples of evaluating each. Line integrals deal with vector fields along paths, surface integrals deal with vector fields over surfaces, and volume integrals deal with vector fields throughout a volume.
2. Green's theorem, Stokes' theorem, and Gauss's theorem are introduced as relationships between these types of integrals but their proofs are not shown.
3. Examples are provided to demonstrate evaluating line integrals of conservative and non-conservative vector fields, as well as a surface integral over a spherical surface.
Cauchy's integral theorem, Cauchy's integral formula, Cauchy's integral formula for derivatives, Taylor's Series, Maclaurinβs Series,Laurent's Series,Singularities and zeros, Cauchy's Residue theorem,Evaluation various types of complex integrals.
On Twisted Paraproducts and some other Multilinear Singular IntegralsVjekoslavKovac1
Β
Presentation.
9th International Conference on Harmonic Analysis and Partial Differential Equations, El Escorial, June 12, 2012.
The 24th International Conference on Operator Theory, Timisoara, July 3, 2012.
Let f(z) be a function continuous at a point z0.
To show that f(z) is also continuous at z0, we need to show:
limzβz0 f(z) = f(z0)
Since f(z) is given to be continuous at z0, by the definition of continuity:
limzβz0 f(z) = f(z0)
Therefore, if f(z) is continuous at a point z0, it automatically satisfies the condition for continuity at z0. Hence, f(z) is also continuous at z0.
So in summary, if a function f(z) is continuous at a
-contraction and some ο¬xed point results via modiο¬ed !-distance mappings in t...IJECEIAES
Β
In this Article, we introduce the notion of an -contraction, which is based on modiο¬ed !-distance mappings, and employ this new deο¬nition to prove some ο¬xed point result. Moreover, to highlight the signiο¬cance of our work, we present an interesting example along with an application. '
B.tech ii unit-3 material multiple integrationRai University
Β
1. The document discusses multiple integrals and double integrals. It defines double integrals and provides two methods for evaluating them: integrating first with respect to one variable and then the other, or vice versa.
2. Examples are given of evaluating double integrals using these methods over different regions of integration in the xy-plane, including integrals over a circle and a hyperbolic region.
3. The document also discusses calculating double integrals over a region when the limits of integration are not explicitly given, but the region is described geometrically.
This document discusses multiple integrals and related concepts. It contains:
1. An introduction to double integrals, defining them as the limit of sums of products of elementary areas and function values over a region.
2. Methods for evaluating double integrals, including integrating with respect to one variable first while treating the other as a constant, and vice versa.
3. Examples of calculating double integrals over various regions, using techniques like changing the order of integration and changing variables.
4. Discussions of calculating integrals over a given region rather than explicitly stated limits, and calculating volumes using double integrals.
The document discusses linear partial differential equations (PDEs) with constant coefficients. It defines such PDEs and provides examples. It describes how to find the general solution of homogeneous linear PDEs with constant coefficients by finding the roots of the auxiliary equation. The general solution consists of the complementary function plus a particular integral. Methods for finding the particular integral when the right side consists of powers of x and y are also presented.
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSRai University
Β
This document provides an introduction to definite integration and its applications. It defines indefinite integration as finding the integral or primitive function F(x) of a function f(x). Definite integration involves finding the area under a curve defined by a function f(x) over a specified interval. Standard formulae for integrating common functions like polynomials, trigonometric functions, and exponentials are provided. Methods for integrating functions using substitution and integration by parts are described. Examples of applying these techniques to evaluate definite integrals are also given.
On the-approximate-solution-of-a-nonlinear-singular-integral-equationCemal Ardil
Β
This document summarizes a study on finding approximate solutions to nonlinear singular integral equations. The study proves the existence and uniqueness of solutions to such equations defined on bounded regions of the complex plane. It then presents a method for finding approximate solutions using an iterative fixed-point principle approach. Nonlinear singular integral equations have many applications in fields like elasticity, fluid mechanics, and mathematical physics. The study contributes to improving methods for solving these important types of equations.
BSC_Computer Science_Discrete Mathematics_Unit-IRai University
Β
This document discusses successive differentiation and provides examples of finding the nth derivative of common functions such as polynomials, exponentials, logarithms, trigonometric functions, and rational functions. Some key points covered include:
- The nth derivative of a function y with respect to x is denoted as d^n y/dx^n.
- Standard formulas are given for finding the nth derivative of functions such as x^m, e^ax, a^x, 1/(ax+b), (ax+b)^m, log(ax+b), sin(ax+b), and cos(ax+b).
- Examples demonstrate calculating specific high-order derivatives such as the 10th derivative of x
The document discusses partial differential equations (PDEs) and numerical methods for solving them. It begins by defining PDEs as equations involving derivatives of an unknown function with respect to two or more independent variables. PDEs describe many physical phenomena involving variations across space and time, such as fluid flow, heat transfer, electromagnetism, and weather prediction. The document then focuses on solving elliptic, parabolic, and hyperbolic PDEs numerically using finite difference and finite element methods. It provides examples of discretizing and solving the Laplace, heat, and wave equations to estimate unknown functions.
Density theorems for anisotropic point configurationsVjekoslavKovac1
Β
This document discusses density theorems for anisotropic point configurations. Specifically:
- It summarizes previous results on density theorems for linear configurations in Euclidean spaces.
- It then presents new results on density theorems for anisotropic power-type scalings, where points are scaled by different powers in different coordinates.
- Theorems are proven for anisotropic simplices and boxes in such spaces, showing that any set of positive density must contain scaled copies of these configurations for scales above a certain threshold.
- The proofs use a multiscale approach involving pattern counting forms, smoothed counting forms, and analyzing the structured, uniform, and error parts that arise from decomposing the counting forms. Mult
Pacific Trails - Travelz Unlimited is a Destination Management Company dedicated to providing Professional and Personalised Services to MICE Groups bound for Singapore thru its Experienced Team.
This document discusses vector differentiation and provides examples and exercises. Some key topics covered include:
- The definition of scalar and vector point functions
- Vector differential operator Del (β)
- Gradient of a scalar function and its properties
- Normal and directional derivatives
- Divergence and curl of vector functions
- Examples calculating gradients, directional derivatives, and verifying identities
- Exercises involving finding normals, gradients, directional derivatives, and divergence
The document discusses scaling sets and MRA wavelet sets, which are measurable sets associated with multiresolution analyses and wavelets. It provides definitions and theorems characterizing scaling sets and MRA wavelet sets. Some simple examples of scaling sets and MRA wavelet sets are given as finite unions of intervals. The document then poses questions about the properties of general wavelet sets and provides counterexamples to ideas about possible restrictions on their structure. Finally, more complex examples of scaling sets and MRA wavelet sets are constructed using Rademacher functions.
On Certain Classess of Multivalent Functions iosrjce
Β
In this we defined certain analytic p-valent function with negative type denoted by νν
. We obtained
sharp results concerning coefficient bounds, distortion theorem belonging to the class νν
.
B.tech ii unit-5 material vector integrationRai University
Β
This document discusses various vector integration topics:
1. It defines line, surface, and volume integrals and provides examples of evaluating each. Line integrals deal with vector fields along paths, surface integrals deal with vector fields over surfaces, and volume integrals deal with vector fields throughout a volume.
2. Green's theorem, Stokes' theorem, and Gauss's theorem are introduced as relationships between these types of integrals but their proofs are not shown.
3. Examples are provided to demonstrate evaluating line integrals of conservative and non-conservative vector fields, as well as a surface integral over a spherical surface.
Cauchy's integral theorem, Cauchy's integral formula, Cauchy's integral formula for derivatives, Taylor's Series, Maclaurinβs Series,Laurent's Series,Singularities and zeros, Cauchy's Residue theorem,Evaluation various types of complex integrals.
On Twisted Paraproducts and some other Multilinear Singular IntegralsVjekoslavKovac1
Β
Presentation.
9th International Conference on Harmonic Analysis and Partial Differential Equations, El Escorial, June 12, 2012.
The 24th International Conference on Operator Theory, Timisoara, July 3, 2012.
Let f(z) be a function continuous at a point z0.
To show that f(z) is also continuous at z0, we need to show:
limzβz0 f(z) = f(z0)
Since f(z) is given to be continuous at z0, by the definition of continuity:
limzβz0 f(z) = f(z0)
Therefore, if f(z) is continuous at a point z0, it automatically satisfies the condition for continuity at z0. Hence, f(z) is also continuous at z0.
So in summary, if a function f(z) is continuous at a
-contraction and some ο¬xed point results via modiο¬ed !-distance mappings in t...IJECEIAES
Β
In this Article, we introduce the notion of an -contraction, which is based on modiο¬ed !-distance mappings, and employ this new deο¬nition to prove some ο¬xed point result. Moreover, to highlight the signiο¬cance of our work, we present an interesting example along with an application. '
B.tech ii unit-3 material multiple integrationRai University
Β
1. The document discusses multiple integrals and double integrals. It defines double integrals and provides two methods for evaluating them: integrating first with respect to one variable and then the other, or vice versa.
2. Examples are given of evaluating double integrals using these methods over different regions of integration in the xy-plane, including integrals over a circle and a hyperbolic region.
3. The document also discusses calculating double integrals over a region when the limits of integration are not explicitly given, but the region is described geometrically.
This document discusses multiple integrals and related concepts. It contains:
1. An introduction to double integrals, defining them as the limit of sums of products of elementary areas and function values over a region.
2. Methods for evaluating double integrals, including integrating with respect to one variable first while treating the other as a constant, and vice versa.
3. Examples of calculating double integrals over various regions, using techniques like changing the order of integration and changing variables.
4. Discussions of calculating integrals over a given region rather than explicitly stated limits, and calculating volumes using double integrals.
The document discusses linear partial differential equations (PDEs) with constant coefficients. It defines such PDEs and provides examples. It describes how to find the general solution of homogeneous linear PDEs with constant coefficients by finding the roots of the auxiliary equation. The general solution consists of the complementary function plus a particular integral. Methods for finding the particular integral when the right side consists of powers of x and y are also presented.
BSC_COMPUTER _SCIENCE_UNIT-2_DISCRETE MATHEMATICSRai University
Β
This document provides an introduction to definite integration and its applications. It defines indefinite integration as finding the integral or primitive function F(x) of a function f(x). Definite integration involves finding the area under a curve defined by a function f(x) over a specified interval. Standard formulae for integrating common functions like polynomials, trigonometric functions, and exponentials are provided. Methods for integrating functions using substitution and integration by parts are described. Examples of applying these techniques to evaluate definite integrals are also given.
On the-approximate-solution-of-a-nonlinear-singular-integral-equationCemal Ardil
Β
This document summarizes a study on finding approximate solutions to nonlinear singular integral equations. The study proves the existence and uniqueness of solutions to such equations defined on bounded regions of the complex plane. It then presents a method for finding approximate solutions using an iterative fixed-point principle approach. Nonlinear singular integral equations have many applications in fields like elasticity, fluid mechanics, and mathematical physics. The study contributes to improving methods for solving these important types of equations.
BSC_Computer Science_Discrete Mathematics_Unit-IRai University
Β
This document discusses successive differentiation and provides examples of finding the nth derivative of common functions such as polynomials, exponentials, logarithms, trigonometric functions, and rational functions. Some key points covered include:
- The nth derivative of a function y with respect to x is denoted as d^n y/dx^n.
- Standard formulas are given for finding the nth derivative of functions such as x^m, e^ax, a^x, 1/(ax+b), (ax+b)^m, log(ax+b), sin(ax+b), and cos(ax+b).
- Examples demonstrate calculating specific high-order derivatives such as the 10th derivative of x
The document discusses partial differential equations (PDEs) and numerical methods for solving them. It begins by defining PDEs as equations involving derivatives of an unknown function with respect to two or more independent variables. PDEs describe many physical phenomena involving variations across space and time, such as fluid flow, heat transfer, electromagnetism, and weather prediction. The document then focuses on solving elliptic, parabolic, and hyperbolic PDEs numerically using finite difference and finite element methods. It provides examples of discretizing and solving the Laplace, heat, and wave equations to estimate unknown functions.
Density theorems for anisotropic point configurationsVjekoslavKovac1
Β
This document discusses density theorems for anisotropic point configurations. Specifically:
- It summarizes previous results on density theorems for linear configurations in Euclidean spaces.
- It then presents new results on density theorems for anisotropic power-type scalings, where points are scaled by different powers in different coordinates.
- Theorems are proven for anisotropic simplices and boxes in such spaces, showing that any set of positive density must contain scaled copies of these configurations for scales above a certain threshold.
- The proofs use a multiscale approach involving pattern counting forms, smoothed counting forms, and analyzing the structured, uniform, and error parts that arise from decomposing the counting forms. Mult
Pacific Trails - Travelz Unlimited is a Destination Management Company dedicated to providing Professional and Personalised Services to MICE Groups bound for Singapore thru its Experienced Team.
1Βͺ practica mecanizado y afilado brocavidalcamarero
Β
Este documento describe dos prΓ‘cticas de mecanizado: 1) mecanizado de roscas exteriores e interiores en piezas de acero y 2) afilado de una broca. En la primera prΓ‘ctica, se cortan y mecanizan piezas de acero usando una sierra, taladro y macho de rosca. En la segunda prΓ‘ctica, se afila una broca desgastada en un esmeril para restaurar su capacidad de corte.
Este documento presenta los resultados de una prΓ‘ctica de Taguchi utilizando una tabla L4. La prΓ‘ctica evalΓΊa tres factores (A, B, C) y sus efectos sobre la distancia de lanzamiento de una moneda de 10 centavos medida en pulgadas. Los resultados muestran que la combinaciΓ³n A1, B2, C2 produjo la distancia mΓ‘s alta.
1) El documento resume conceptos clave de administraciΓ³n de calidad como calidad, competitividad, productividad y costos de calidad. 2) Describe las contribuciones de pioneros de la calidad como Deming, Juran, Ishikawa, Crosby, Feigenbaum y Taguchi. 3) Explica herramientas como el ciclo PDCA, los diagramas de Ishikawa y los 14 principios de Deming.
El documento resume las contribuciones de varios expertos en calidad como Walter Shewhart, Joseph Juran, Kaoru Ishikawa, W. Edwards Deming y Philip Crosby. Explica conceptos clave como el ciclo de Shewhart, la trilogΓa de Juran, los cΓrculos de calidad de Ishikawa y los catorce pasos de Crosby hacia cero defectos. AdemΓ‘s, describe los aportes de cada experto para mejorar la calidad en las organizaciones.
Genichi Taguchi uno de los padres de la CALIDAD TOTAL, quien es? cuales fueron sus aportes y un breve ejemplo del metodo
Elaborado por estudiantes de la Universidad de Carabobo
Facultad Ingenieria Industrial
Rodolfo Barbera y Jose PiΓ±ero
Octubre 2010
The document discusses the importance of setting goals for small business success. It states that having a clear vision and goals is essential, as less than 1% of adults have clearly stated goals yet those who do earn up to 10 times more. It recommends business owners first develop a vision for their desired future business size and offerings. They should then set specific, measurable goals to achieve that vision, and break big goals into smaller, weekly or daily tasks. Having accountability partners and visualizing success daily can help goal achievement.
Experimental studies have been conducted to understand disc brake noise and vibration. Researchers have used brake dynamometers and on-road testing to examine different parameters and operating conditions. They have measured vibration behavior using microphones and accelerometers. Studies have found that slotted discs can eliminate squeal vibration, while friction material and pad geometry changes can reduce it. Holographic interferometry has been used to view vibration modes on self-excited brakes. Further research aims to standardize noise measurement methods and remove subjective assessments to better understand noise generation and reduction.
Solvable models on noncommutative spaces with minimal length uncertainty rela...Sanjib Dey
Β
This document discusses solvable models on noncommutative spaces with minimal length uncertainty relations. It motivates noncommutative quantum field theory as a way to address drawbacks in ordinary QFT like gravitational fields not being renormalizable. Noncommutative spaces are introduced, including flat and q-deformed noncommutative spaces. This leads to the prediction of a minimal observable length as a natural outcome. Specific solvable models are presented for flat noncommutative spaces in 3D and q-deformed noncommutative spaces using oscillator algebras. Commutation relations are computed and a particular PT-symmetric solution is shown, which in a limiting case reduces to a 3D solution with modified canonical commutation relations introducing a minimal length scale.
This document discusses nonlocal cosmology and modifications to Einstein's theory of gravity. It presents three cases of nonlocal modified gravity models:
1. When P(R)=R and Q(R)=R, nonsingular bounce cosmological solutions were found with scale factor a(t)=a0(ΟeΞ»t+Οe-Ξ»t).
2. When P(R)=R-1 and Q(R)=R, several power-law cosmological solutions were obtained, including a(t)=a0|t-t0|Ξ±.
3. For the case P(R)=Rp and Q(R)=Rq, the trace and 00 equations of motion were transformed into an equivalent
1) The Gram-Schmidt process is used to transform a basis into an orthogonal basis. It works by making each new basis vector orthogonal to the preceding ones.
2) QR factorization states that any matrix A can be decomposed into A = QR, where Q is orthogonal and R is upper triangular.
3) The QR factorization can be used to solve the least squares problem. The solution is obtained by back substituting into Rx=Q^Tb.
Nonconvex Compressed Sensing with the Sum-of-Squares MethodTasuku Soma
Β
This document presents a method for nonconvex compressed sensing using the sum-of-squares (SoS) method. It formulates q-minimization, which requires fewer samples than l1-minimization but is nonconvex, as a polynomial optimization problem. The SoS method is then applied to obtain a pseudoexpectation operator satisfying a pseudo robust null space property, guaranteeing stable signal recovery. Specifically, it shows that for a Rademacher measurement matrix, with the number of measurements scaling quadratically in the sparsity s, the SoS method finds a solution x^ satisfying ||x^-x||_q β€ O(Οs(x)q) + Ξ΅, providing nearly q-stable recovery.
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1. The document discusses Legendre polynomials and their properties, including deriving a recurrence relation.
2. It introduces a generating function for Legendre polynomials and shows that the coefficient of tn in the power series expansion is Pn(x).
3. The recurrence relation derived is: (n+1)Pn+1(x) - (2n+1)xPn(x) + nPn-1(x) = 0.
This document discusses convex programming problems and optimization problems. It defines convex sets and convex functions, and explains how to determine if a function is convex using its epigraph or differentiability properties. It then discusses various types of convex optimization problems including quadratic programming problems. It provides optimality conditions for constrained and unconstrained optimization using KKT conditions and discusses Wolfe's method for solving quadratic programming problems.
Crack problems concerning boundaries of convex lens like formsijtsrd
Β
The singular stress problem of aperipheral edge crack around a cavity of spherical portion in an infinite elastic medium whenthe crack is subjected to a known pressure is investigated. The problem is solved byusing integral transforms and is reduced to the solution of a singularintegral equation of the first kind. The solution of this equation is obtainednumerically by the method due to Erdogan, Gupta , and Cook, and thestress intensity factors are displayed graphically.Also investigated in this paper is the penny-shaped crack situated symmetrically on the central plane of a convex lens shaped elastic material. Doo-Sung Lee"Crack problems concerning boundaries of convex lens like forms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11106.pdf http://www.ijtsrd.com/mathemetics/applied-mathamatics/11106/crack-problems-concerning-boundaries-of-convex-lens-like-forms/doo-sung-lee
This document discusses triple integrals in 3 dimensions. It defines a triple integral as the limit of Riemann sums as the norm of the partition approaches 0. It states that a triple integral of a continuous function over a rectangular parallelepiped region is equal to the iterated integral of the function with respect to dzdydx. Examples are provided to demonstrate how to set up and evaluate triple integrals over various regions in 3D space, including in rectangular, cylindrical and other coordinate systems.
Double Robustness: Theory and Applications with Missing DataLu Mao
Β
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On The Zeros of Certain Class of Polynomials
1. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol.2, Issue.6, Nov-Dec. 2012 pp-4363-4372 ISSN: 2249-6645
On The Zeros of Certain Class of Polynomials
B.A. Zargar
Post-Graduate Department of Mathematics, U.K, Srinagar.
Abstract: Let P(z) be a polynomial of degree n with real or complex coefficients . The aim
of this paper is to obtain a ring shaped region containing all the zeros of P(z). Our results not only generalize some known
results but also a variety of interesting results can be deduced from them.
I. Introduction and Statement of Results
The following beautiful result which is well-known in the theory of distribution of zeros of polynomials is due to Enestrom
and Kakeya [9].
Theorem A. If P(z) =β ππ=0 aj zj is a polynomial of degree n such that
(1) an β₯ an-1 β₯β¦..β₯ a1 β₯ a0 β₯ 0,
then all the zeros of P(z) lie in π§ β€ 1.
In the literature ([2] ,[5] β[6], [8]-[11]) there exists some extensions and generalizations of this famous result. Aziz
and Mohammad [1] provided the following generalization of Theorem A.
Theorem B. Let P(z) =β ππ=0 aj zj is a polynomial of degree n with real positive coefficients. If t1 β₯ π‘2 β₯ 0 can
be found such that
(2) π π½ t1 t 2+ ajβ1 t1 β t 2 a jβ2 β₯ 0, j=1, 2, β¦ ;n+1, πβ1 = π π +1 = 0 ,
then all the zeros of P(z) lie in π§ β€ π‘1 .
For π‘1 = 1, π‘2 = 0, this reduces to Enestrom-Kakeya Theorem (Theorem A).
Recently Aziz and Shah [3] have proved the following more general result which includes Theorem A as a special
case.
------------------------------------------------------------------------------
Mathematics, subject, classification (2002). 30C10,30C15,
Keywords and Phrases , Enestrom-Kakeya Theorem, Zeros ,bounds.
Theorem C. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n. If for some t > 0.
(3) πππ₯ π§ =π π‘π0 π§ π + π‘π1 β π0 π§ π β1 + β― + π‘π π β π πβ1 β€ π3
Where R is any positive real number, then all the zeros of P(z) lie in
π 1
(4) π§ β€ πππ₯ π 3 , π
π
The aim of this paper is to apply Schwarz Lemma to prove a more general result which includes Theorems A, B
and C as special cases and yields a number of other interesting results for various choices of parameters πΌ, π, π‘1 πππ π‘2 . In
fact we start by proving the following result.
Theorem 1. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n, If for some real numbers π‘1 , π‘2 with π π β π, π π >
ππ β₯ π
(5) πππ₯ π§ =π
π π π‘1 β π‘2 + πΌ β π πβ1 + β ππ=0 ππ π‘1 π‘2 + ππ β1 π‘1 β π‘2 β ππ β2 π§ πβπ +1 β€ π1
(6)
πππ π§ =π π0 π‘1 β π‘2 + π1 π‘1 π‘2 + π½ +
β ππ+2 ππ π‘1 π‘2 + ππ β1 π‘1 β π‘2 β
=2 (π π β2 π§ π β€ π2
Where R is a positive real number, then all the zeros of P(z) lie in the ring shaped region.
π‘1 π‘2 π0 π1 + πΌ 1
(7) πππ π§ =R π½ +π2 , π β€ π§ β€ πππ₯ π§ =R ππ
, π
Taking t2 =0, we get the following generalization and refinement of Theorem C.
Corollary 1. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n. If for some t > 0.
πππ₯ π§ =π a n t + Ξ± β a nβ1 + βn j=0 a jβ1 t β a jβ2 z
nβj+2
β€ M1
n+2 j
πππ π§ =π a 0 t + Ξ² + βj=0 a jβ1 t β a jβ2 z β€ M2
Where R is a real positive number then all the zeros of P(z) lie in
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2. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol.2, Issue.6, Nov-Dec. 2012 pp-4363-4372 ISSN: 2249-6645
π1 + πΌ 1
z β€ πππ₯ π§ =π ππ
, π
In case we take t=1=R in corollary 1, we get the following interesting result.
Corollary 2. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n,
πππ₯ π§ =π π π + πΌ β π πβ1 +
π π β1 β π π β2 π§ + β― + π1 β π0 π§ πβ1 + ππ π§ π β€ M,
M+ Ξ±
then all the zeros of P(z) lie in the circle z β€ Max an
,1
If for some Ξ± > 0, πΌ + π π β₯ π π β1 β₯ β― β₯ π1 β₯ π0 β₯ 0, then ,
π β€ π π + πΌ + π π β1 + π π β1 β π πβ2 + β― + π1 β π0 + π0
= π π + πΌ β π π β1 + π πβ1 β π πβ2 + β― + π1 β π0 + π0
= ππ + πΌ
Using this observation in Corollary 2, we get the following generalization of Enestrom-Kakeya Theorem.
Corollary 3. If, P(z)= π π π§ π + π π β1 + π§ π β1 + β― + π1 π§ + π0 , is a polynomial of degree n, such that for some
πΌ β₯ 0,
πΌ + π π β₯ πβ1 β₯ β― . β₯ π0 β₯ 0,
then all the zeros of P(z) lie in the circle
2πΌ
π§ β€ 1+ ,
ππ
For πΌ = 0, π‘βππ ππππ’πππ π‘π πβπππππ π΄. πΌπ π€π π‘πππ πΌ = π πβ1 β π π β₯ 0, then we get Corollary 2, of ([4] Aziz and
Zarger).
Next we present the following interesting result which includes Theorem A as a special case.
Theorem 2. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n, If for some real numbers with π π β
π, π π > π π β₯ π
π
(π) π΄ππ π =πΉ β π=π π π π π π π + π πβπ π π β π π β π πβπ π πβπ β€ π΄3
then all the zeros of P(z) lie in the region
(9) π§ β€ π1,
Where ,
2π3
(10) π1 =
π π π‘ 1 βπ‘ 2 π π β1 2 +4 π π π3 1/2 β π
π π‘ 1 βπ‘ 2 β π π β1
Taking π‘2 = 0, we get the following result
Corollary 4. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n, If for some π‘ > 0,
π
β π=π π πβπ π β π πβπ π πβπ β€ π΄3,
π΄ππ π =πΉ
then all the zeros of P(z) lie in the region
π§ β€ π1,
Where ,
2π3
r= π π π‘β π π β1 2 +4 π π π3 1/2 β π π‘βπ
π π β1
Remark. Suppose polynomial P(z) = β ππ=0 ππ π§ π , satisfies the conditions of
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3. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol.2, Issue.6, Nov-Dec. 2012 pp-4363-4372 ISSN: 2249-6645
Theorem A, then it can be easily verified that from Corollary 4.
M3 =an-1 ,
then all the zeros of P(z) lie in
2π π β1
π§ β€
π π β π π β1 2 + 4π π π πβ1 β π π β π π β1
2π
= 2π π β1 = 1,
π β1
which is the conclusion of Enestrom-Kekaya Theorem.
Finally , we prove the following generalization of Theorem 1 of ([2], Aziz and Shah).
Theorem 3. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n, IfπΌ, π½ are complex numbers and with π‘1 β
0, π‘2 πππ ππππ ππ’πππππ π€ππ‘β π‘1 β₯ π‘2 β₯ 0 and
(11) πππ₯ π§ =π π π π‘1 β π‘2 + πΌ β π π β1 π§ + β ππ=0 ππ π‘1 π‘2 + ππ β1 π‘1 βπ‘2 β ππ β2 π§ π βπ β2 β€ π4
and,
(12) πππ₯ π§ =π π π π‘1 β π‘2 + π½ β π π β1 π§ + β ππ+2 ππ π‘1 π‘2 + ππ β1 π‘1 βπ‘2 β ππ β2 π§ π β€ π5
=2
Where πβ2= πβ1 = 0 = π π+1 = π π+2 and R is any positive real number, then all the zeros of P(z) lie in the ring shaped
region.
1
(13) Min (r2 , R) β€ π§ β€ max π1 ,
π
Where
2[ π π 2 π π π‘ 1β π‘ 2 βπ π β1 +πΌ +π4 ] 2
(14) π1 = 2
πΌ π 2 π4 +π 2 π4 β π π π π π‘ 1β π‘ 2 +πΌβπ π β1 2 +4 πΌ π 2 π
π π‘ 1β π‘ 2 +πΌβπ π β1 +π4 π π π 2 π4 1/2 β
πΌ π 2 π4 + π 2 π4 β π π π π π‘1β π‘2 + πΌ β π π β1
and
1 2[π 2 π½ 2
π 1 π‘ 1 π‘ 2 +π 0 π‘ 1β π‘ 2 +π½ βπ5 ]
(15) =
π2 π 2 π 1 π‘ 1 π‘ 2 +π 0 π‘ 1β π‘ 2 +π½ ( π 0 π‘ 1 π‘ 2 βπ5 )β π½ π5 +
π 4 π1 π‘1 π‘2 + π0 π‘1β π‘2 + π½ π0 π‘1 π‘2 β π5 2
2
+4 π0 π5 π‘1 π‘2 (π 2 π½ π1 π‘1 π‘2 + π0 π‘1β π‘2 ) + π½ + π5 1/2
Taking πΌ = 0, π½ = 0, in Theorem 3, we get the following.
Corollary 5. Let P(z) = β ππ=0 ππ π§ π be a polynomial of degree n, If ,π‘1 β 0 πππ π‘2 are real numbers with π‘1 β₯ π‘2 β₯
0,
πππ₯ π§ =π β ππ+1 ππ π‘1 π‘2 + ππ β1 π‘1β π‘2 β ππ β2 π§ πβπ +2 β€ π4 ,
=1
π§+π
β π£=π π π£ π π π π + π π£βπ π πβ π π β π π£βπ π³ π£ β€ π π ,
πππ± π³ =π
Where R is any positive real number . then all the zeros of P(z) lie in the ring shaped region
1
min (r2,R) β€ π§ β€ max π1 ,
π
Where
2π42
π1 = 3
π 4 π‘ 1β π‘ 2 ) π π βπ π β1 2 π4 β π π 2 +4 π
π π 2 π4 1/2 β π‘ 1 βπ‘ 2 )π π βπ π β1 π4 β π π π 2
π2 =
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4. International Journal of Modern Engineering Research (IJMER)
www.ijmer.com Vol.2, Issue.6, Nov-Dec. 2012 pp-4363-4372 ISSN: 2249-6645
1
1 3
2
2π5
π 4 π1 π‘1 π‘2 + π0 π‘1 β π‘2 2
π5 β π0 π‘1 π‘2 2
+ 4π5 π 2 π0 π‘1 π‘2 2 β
π 2 π5 β π0 π‘1 π‘2 π1 π‘1 π‘2 + π0 π‘1 β π‘2
The result was also proved by Shah and Liman [12].
II. LEMMAS
For the proof of these Theorems, we need the following Lemmas. The first Lemma is due to Govil, Rahman and
Schmesser [7].
LEMMA. 1. If π(z) is analytic in π§ β€ 1, π π = π π€βπππ π < 1, πβ² π = π, π(π§) β€ 1, ππ π§ = 1, π‘βππ πππ π§ β€
1.
1β π π§ 2 + π π§ + π 1β π
π(π§) β€ π 1β π π§ 2 + π π§ + 1β π
The example
π
π+ π§βπ§ 2
1+π
π (z)= π
1β π§βππ§ 2
1+π
Shows that the estimate is sharp.
form Lemma 1, one can easily deduce the following:
LEMMA. 2. If π (z) is analytic in π§ β€ π , π 0 = 0, π β² 0
= π πππ π(π§) β€ π,
πππ π§ = π , π‘βππ
π π§ π π§ +π 2 π
π(π§) β€ for π§ β€ π
π 2 π+ π π§
III. PROOFS OF THE THEOREMS.
Proof of Theorem . 1 Consider
(16) F(z) = π‘2 + π§ π‘1 β π§ π(π§)
= βπ π π§ π+2 + π π π‘1 β π‘2 β π πβ1 π§ π+1
+ π π π‘1 π‘2 + π π β1 π‘1 β π‘2 β π πβ2 π§π
+β¦.+ π π π‘1 π‘2+ π0 π‘1 β π‘2 π§ + π0 π‘1 π‘2
Let
1
G(z) + π§ π+2 πΉ
π§
= βπ π + π π π‘1 β π‘2 β π πβ1 π§ + π π π‘1 π‘2 + π π β1 π‘1 β π‘2 β π π β2 π§ 2 + β―
β¦+ π1 π‘1 π‘2 + π0 π‘1 β π‘2 π§ π +1 + π0 π‘1 π‘2 π§ π+2
= βπ π β πΌπ§ + π π π‘1 β π‘2 + πΌ β π πβ1 π§
+ π π π‘1 π‘2 + π πβ1 π‘1 β π‘2 β π π β2 π§ 2 + β―
β¦ + (π1 π‘1 π‘2 + π0 π‘1 β π‘2 π§ π+1 + π0 π‘1 π‘2 ) π§ π+2
= β π π + πΌπ§ + π»(π§)
Where,
H(z)= π§ π π π‘1 β π‘2 + πΌ β π π β1 + β ππ=0 ππ π‘1 π‘2 + ππ β1 π‘1 β π‘2 β ππ β2 π§ πβπ
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Clearly H(o)=0 and πππ₯ π§ =π π»(π§) β€ π π1,
We first assume that π π β€ π π1 + πΌ
Now for π§ β€ π , by using Schwarz Lemma, we have
(17) G(z) = β a n + Ξ±z + H(z)
β₯ a n β πΌ π§ β π»(π§)
β₯ a n β πΌ π§ β |π1 π§|
= an β π1 + πΌ π§|
> π, ππ
ππ
π§ < π1 + πΌ
β€ π
ππ
This shows that all the zeros of G(z) lie in π§ β₯
π1 + πΌ
1 1
Replacing z by π§ and noting that F(z) = π§ π+2 πΊ π§
, it follows that all the zeros of F(z) lie in
π1 + πΌ
π§ β€ ππ
if , π π β€ π (π1 + πΌ )
Since all the zeros of P(z) are also the zeros of F(z), we conclude that all the zeros of P(z) lie in
ππ
(18) π§ β€
π1 + πΌ
Now assume π π > π (π1 + πΌ ), then for π§ β€ π , we have from (17).
G z β₯ a n β πΌ π§ β π»(π)
β₯ π π β πΌ π β π1 π
= ππ β πΌ + π π > 0,
Thus G(z) β 0 πππ π§ < π , ππππ π€βππβ it follows as before that all the zeros of F(z) and hence all the zeros of P(z) lie
1,
in π§ β€ π Combining this with (18), we infer that all the zeros of P(z) lie in
ππ§ π,
19. π³ β€ π¦ππ± π π+ π
, π
Now to prove the second part of the Theorem, from (16) we can write F(z) as
F(z)= t 2 + z t1 β z P(z)
=
a 0 t1 t 2 + a1 t1 t 2 + a 0 t1 β t 2 z + β― + a n t1 β t 2 β a nβ1 z n+1 β a n z n+2
=a 0 t1 t2 β Ξ²z + a1 t1 t 2 + a 0 t1 β t 2 + Ξ² z + β― + a n t1 β t 2 β a nβ1 z n+1 β a n z n+2
= a 0 t1 t 2 β Ξ²z + T(z)
Where
T(z) = z π1 π‘1 π‘2 + π0 π‘1 βπ‘2 + π½ + βn+2 ππ π‘1 π‘2 + ππ β1 π‘1 βπ‘2 ππ β2 π§ π β1
j=2
Clearly T(o)=0, and πππ₯ π§ =π π(π§) β€ π π2
We first assume that π0 π‘1 π‘2 β€ Ξ² + M2
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Now for z β€ R, by using Schwasr lemma, we have
F(z) β₯ π0 π‘1 π‘2 β Ξ² z β T(z)
β₯ π0 π‘1 π‘2 β Ξ² z β M2 Z
>0, if,
π0 π‘1 π‘2
z < β€R
Ξ² +M 2
π0 π‘1 π‘2
This shows that F(z) β 0, for z < , hence all the zeros of F(z) lie in
Ξ² +M 2
π0 π‘1 π‘2
z β₯ Ξ² +M 2
But all the zeros of P(z) are also the zeros of F(z), we conclude that all the zeros of P(z) lie in
π0 π‘1 π‘2
20. z β₯ Ξ² +M 2
Now we assume π0 π‘1 π‘2 > Ξ² + M2 , then for z β€ R, we have
` F(z) β₯ π0 π‘1 π‘2 β Ξ² z β T(z)
β₯ π0 π‘1 π‘2 β Ξ² R β M2 R
> π‘1 π‘2 π0 β Ξ² + M2 R
>0,
This shows that all the zeros of F(z) and hence that of P(z) lie in
z β₯R
Combining this with (20) , it follows that all the zeros of P(z) lie in
π0 π‘1 π‘2
21 z β₯ min Ξ² +M 2
,R
Combining (19) and (20), the desired result follows.
Proof of Theorem 2:- Consider
22. F(z) = π‘2 + π§ π‘1 β π§ π(π§)
= π‘2 + π§ π‘1 β π§ π π π§ π + π πβ1 π§ πβ1 + β― + π1 π§ + π0
= βπ π π§ π+2 + ππ π‘1β π‘2 β π πβ1 π§ π +1 + β― + π0 π‘1 π‘2
Let
1
23. G(z) = π§ π+2 πΉ( π§ )
= βπ π + π π π‘1 β π‘2 β π πβ1 π§ +
π π π‘1 π‘2 β π π β1 π‘1 β π‘2 π π β2 π§ 2 + π»(π§)
Where
H(z) = π§ 2 π π π‘1 π‘2 β π πβ1 π‘1 β π‘2 β π π β2 + β― + π0 π‘1 π‘2 π§ π
Clearly H(o)=0 = H(o), since H(z) β€ M3 R2 for z = R
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We first assume,
24 a n β€ MR2 + R π π π‘1 β π‘2 β π π β1
Then by using Lemma 2. To H(z), it follows that
M3 z M3 z
π»z β€ R2 M3
πππ₯ π§ =π H(z)
Hence from(23) we have
z 2M3
G(z) β₯ a n β π π π‘1 β π‘2 β π π β1 z β π 2
R2
>0, if
2
M3 z + π π π‘1 β π‘2 β π πβ1 z β a n < 0
That is if,
1/2
π π π‘ 1 βπ‘ 2 βπ π β1 2 +4 a n M β π π π‘ 1 βπ‘ 2 βπ π β1
25. z < 2M 3
1
=r β€ R
If
2 2
π π π‘1 β π‘2 β π π β1 + 4 a n M3 β€ 2M3 R + π π π‘1 β π‘2 β π πβ1
Which implies
a n β€ M3 R2 + R π π π‘1 β π‘2 β π π β1
Which is true by (24)..Hence all the zeros of G(z) lie in Z β₯ r. since
F z = z n+2 G z ,
It follows that all the zeros of F(z) and hence that of P(z) lie in z β€ r. We now assume.
26. a n β€ M3 R2 + R π π π‘1 β π‘2 β π π β1 ,
then for z β€ R, from (23) it follows that
G(z) β₯ a n β π π π‘1 β π‘2 β π π β1 z β H(z)
β₯ π π β π π π π‘1 β π‘2 β π πβ1 β R2 M3
>0, by (26).
1
This shows that all the zeros of G(z) lie in Z > π , and hence all the zeros of F(z) = z n+2 G(z ) lie in
1
z β€ , but all the zeros of P(z) are also the zeros of F(z) , therefore it follows that all the zeros of P(z) lie in
R
1
Z β€R
27. From (25) amd (27) , we conclude that all the zeros of P(z) lie in
1
Z β€ max(π, )
R
Which completes the proof of Theorem 2.
28. PROOF OF THEOREM 3. Consider the polynomial
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F(z) = π‘2 + π§ π‘1 β π§ π(π§)
= π‘1 π‘2 + π‘1 β π‘2 π§ β π§ 2 ) π π π§ π + π πβ1 π§ π β1 + β― + π1 π§ + π0
= βπ π π§ π+2 + ππ π‘1β π‘2 β π πβ1 π§ π +1 + β― + π π π‘1 π‘2
+ π πβ1 π‘1β π‘2 β π π β1 π§ π+1 + β― +
a 2 t1 t 2 + a1 π‘1β π‘2 β π0 z 2 + a1 t1 t 2 + a 0 π‘1β π‘2 π§ + π0 t1 t 2
We have,
1
G(z) = π§ π+2 πΉ( )
π§
= ππ π + π π π‘1 β π‘2 β π π β1 π§ + π π π‘1 π‘2 + π π β1 π‘1 β π‘2 β π π β2 π§ 2
+β¦+ π1 π‘1 π‘2 + π0 π‘1β π‘2 π§ π +1 + π0 π‘1 π‘2 π§ π+2
= βπ π β πΌπ§ + π π π‘1 β π‘2 + πΌ β π π β1 π§ +
π π π‘1 π‘2 + π π β1 π‘1β π‘2 β π π β2 z 2 +. . +
π1 π‘1 π‘2 + π0 π‘1β π‘2 z n+1 + π0 π‘1 π‘2 π§ π+2
29. = βπ π β πΌπ§ + π» π§
Where
H(z) = π π π‘1 βπ‘2 + πΌ β π π β1 π§ + β― + π0 π‘1 π‘2 π§ π+2
We first assume that
30. a n β₯ Ξ± R + M4
Then for z < π , we have
31. G(z) β₯ a n β Ξ± z β H(z)
Since
H(z) β€ M4 πππ z β€ R
Therefore for π§ <R, from (31) with the help of (30), we have
πΊ(π§) > π π β β π β π4
1
therefore , all the zeros of G(z) lie in z β₯ R, in this case. Since F(z) = π§ π +2 G π§ therefore all the zeros of G(z) lie in
1
Z β€ R . As all the zeros of P(z) are the zeros of F(z), it follows that all the zeros of P(z) lie in
1
32. z β€R
Now we assume a n < Ξ± R + M4 , clearly H(o) = 0 and H(o) = (π π π‘1 βπ‘2 β
πΌ β π π β1 , Since by (11), H(z) β€ M4 , for z = R,
therefore it follows by Lemma2. that
M4 z M4 z + R2 a n π‘1 βπ‘2 β π π β1 + πΌ
H(z) β€
R2 M4 + a n π‘1 βπ‘2 β π π β1 + πΌ z
for z β€ R
Using this in (31), we get,
M4 z M4 z + R2 a n π‘1 βπ‘2 β π πβ1 + πΌ
G(z) β₯ π π β πΌ π§ β 2
R M4 + a n π‘1 βπ‘2 β π π β1 + πΌ z
>0, if
π π R2 M4 + a n π‘1 βπ‘2 β π π β1 + πΌ z β z Ξ± R2
M4 + a n π‘1 βπ‘2 β π π β1 + πΌ z + M4 M4 z + R2
a n π‘1 βπ‘2 β π π β1 + πΌ > 0,
this implies,
Ξ± R2 a n π‘1 βπ‘2 β π πβ1 + πΌ + M4 z 2 + Ξ± R2 M4 +
2
2 2
R M4 a n t1 β t 2 β a nβ1 +β β¦ R M4 an π‘1 βπ‘2 β π π β1 + πΌ }
z β a n R2 M4 < 0,
This gives,
G(z) > 0, ππ
z < [ Ξ± R2 M4 + R2 M4 β a n a n π‘1 βπ‘2 β π π β1 + πΌ 2 +..
β¦.4 Ξ± R2 a n π‘1 βπ‘2 β π π β1 + πΌ + M4 2 π π R2 M4 ]
πΌ R 2 M 4 +R 2 M 4 β π π a n π‘ 1 βπ‘ 2 βπ π β1 +πΌ
β
2 Ξ± R 2 a n π‘ 1 βπ‘ 2 βπ π β1 +πΌ +M 4 2
1
=r ,
1
So, z < π , ππ
Ξ± R2 M4 + M4 β a n R2 a n π‘1 βπ‘2 β π π β1 + πΌ 2
+
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4 Ξ± R2 a n π‘1 βπ‘2 β π πβ1 + πΌ + M4 2 π π R2 M4
< 2 Ξ± a n π‘1 βπ‘2 β π π β1 + πΌ R + Ξ± R2 M4 + 2RM4 2
+ M4 β a n R2 a n π‘1 βπ‘2 β π π β1 + πΌ 2
That is if,
a n R2 M4 β€ R2 Ξ± π 2 an π‘1 βπ‘2 β π πβ1 + πΌ + M4 2 +
Ξ± R2 M4 + M4 β a n R2 a n π‘1 βπ‘2 β π π β1 + πΌ R
Which gives
a n M4 β€ M4 Ξ± R + M4 β π π + π Ξ± R2 a n π‘1 βπ‘2 β π π β1 + πΌ + M4 2
Ξ± R2 + M4 β π π
Which is true because π π < Ξ± R + M4 ,
1 1
Consequently , all the zeros of G(z) lie in z β₯ r , as F(z) = z n+1 G( z ), we conclude that all the zeros of
1
F(z) lie z β€ π1 , since every zero of P(z) is also a zero of F(z), it follows that all the zeros of P(z) lie in
33. z β€ π1
Combining this with (32) it follows that all the zeros of P(z) lie in
1
34. z β€ πππ₯ π1 , π
Again from (28) it follows that
πΉ π§ = π0 t1 t 2 β Ξ²z + a1 t1 t2 π‘1β π‘2 + π½ z + β― + a n ( π‘1 βπ‘2
β. π πβ1 )z n+2 β a n π§ π+2
35. β₯ π0 t1 t 2 β π½ π§ β π(π§)
Where,
T(z) = a n π§ π+2 + a n π‘1 βπ‘2 β. π π β1 π§ π +1 +. . +
π0 t1 t 2 + a 0 π‘1β π‘2 + π½ z
Clearly T(o)=0, and T(o) π1 t1 t 2 + a 0 π‘1β π‘2 + π½
Since by (12) , T(z) β€ M5 for z = R
using Lemma 2. To T(z), we have
M5 z
F(z) β₯ π0 t1 t 2 β Ξ² z β R2
M5 z + R2 π1 t1 t 2 + a 0 π‘1β π‘2 + π½ z
= - R2 Ξ² π1 t1 t 2 + a 0 π‘1β π‘2 + π½ + π5 2 z 2 +
π1 t1 t 2 + a 0 π‘1β π‘2 + π½ R2 π0 t1 t 2 β R2 M5 β Ξ² R2 M5 z + M5 R2 π1 t1 t2
R2 M5 + π1 t1 t 2 + a 0 π‘1β π‘2 + π½ z
>0, if,
R2 Ξ² π1 t1 t 2 + a 0 π‘1β π‘2 + π½ + π5 2 z 2 β π1 t1 t 2 + a 0 π‘1β π‘2 + π½
R2 π0 t1 t2 β R2 M5 β Ξ² R2 M5 z β R2 M5 π0 t1 t 2 < 0,
Thus, F(z) > 0, ππ
z < βR2 π1 t1 t2 + a 0 π‘1β π‘2 + π½ π0 t1 t 2 β M5 Ξ² M5
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β R4 π1 t1 t 2 + a 0 π‘1β π‘2 + π½ π0 t1 t 2 β M5 Ξ² M5 2
+4 R2 Ξ² π1 t1 t 2 + a 0 π‘1β π‘2 + π½ + M5 2 R2 M5 π0 t1 t2 1/2
ππ§
2 R2 Ξ² π1 t1 t 2 + a 0 π‘1β π‘2 + π½ + M5 2
Thus it follows by the same reasoning as in Theorem 1, that all the zeros of F(z) and hence that of P(z) lie in
36. z β₯ min(r2, R)
Combining (34) and (36) , the desired result follows.
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