The Laplace Transform L{F(T)} = = )( )( Dttfe Sf
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F(P,Q) = Ffeic(R+TQ)
674 MATHEMA TICS: N. H. McCOY PR.OC. N. A. S. ON THE FUNCTION IN QUANTUM MECHANICS WHICH CORRESPONDS TO A GIVEN FUNCTION IN CLASSICAL MECHANICS By NEAL H. MCCoy DEPARTMENT OF MATHEMATICS, SMrTH COLLEGE Communicated October 11, 1932 Let f(p,q) denote a function of the canonical variables p,q of classical mechanics. In making the transition to quantum mechanics, the variables p,q are represented by Hermitian operators P,Q which, satisfy the com- mutation rule PQ- Qp = 'y1 (1) where Y = h/2ri and 1 indicates the unit operator. From group theoretic considerations, Weyll has obtained the following general rule for carrying a function over from classical to quantum mechanics. Express f(p,q) as a Fourier integral, f(p,q) = f feiC(r+TQ) r(,r)d(rdT (2) (or in any other way as a linear combination of the functions eW(ffP+T)). Then the function F(P,Q) in quantum mechanics which corresponds to f(p,q) is given by F(P,Q)- ff ei(0P+7Q) t(cr,r)dodr. (3) It is the purpose of this note to obtain an explicit expression for F(P,Q), and although we confine our statements to the case in which f(p,q) is a polynomial, the results remain formally correct for infinite series. Any polynomial G(P,Q) may, by means of relation (1), be written in a form in which all of the Q-factors occur on the left in each term. This form of the function G(P,Q) will be denoted by GQ(P,Q). -
The Laplace Transform of the Psi Function
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 138, Number 2, February 2010, Pages 593–603 S 0002-9939(09)10157-0 Article electronically published on September 25, 2009 THE LAPLACE TRANSFORM OF THE PSI FUNCTION ATUL DIXIT (Communicated by Peter A. Clarkson) Abstract. An expression for the Laplace transform of the psi function ∞ L(a):= e−atψ(t +1)dt 0 is derived using two different methods. It is then applied to evaluate the definite integral 4 ∞ x2 dx M(a)= , 2 2 −a π 0 x +ln (2e cos x) for a>ln 2 and to resolve a conjecture posed by Olivier Oloa. 1. Introduction Let ψ(x) denote the logarithmic derivative of the gamma function Γ(x), i.e., Γ (x) (1.1) ψ(x)= . Γ(x) The psi function has been studied extensively and still continues to receive attention from many mathematicians. Many of its properties are listed in [6, pp. 952–955]. Surprisingly, an explicit formula for the Laplace transform of the psi function, i.e., ∞ (1.2) L(a):= e−atψ(t +1)dt, 0 is absent from the literature. Recently in [5], the nature of the Laplace trans- form was studied by demonstrating the relationship between L(a) and the Glasser- Manna-Oloa integral 4 ∞ x2 dx (1.3) M(a):= , 2 2 −a π 0 x +ln (2e cos x) namely, that, for a>ln 2, γ (1.4) M(a)=L(a)+ , a where γ is the Euler’s constant. In [1], T. Amdeberhan, O. Espinosa and V. H. Moll obtained certain analytic expressions for M(a) in the complementary range 0 <a≤ ln 2. -
7 Laplace Transform
7 Laplace transform The Laplace transform is a generalised Fourier transform that can handle a larger class of signals. Instead of a real-valued frequency variable ω indexing the exponential component ejωt it uses a complex-valued variable s and the generalised exponential est. If all signals of interest are right-sided (zero for negative t) then a unilateral variant can be defined that is simple to use in practice. 7.1 Development The Fourier transform of a signal x(t) exists if it is absolutely integrable: ∞ x(t) dt < . | | ∞ Z−∞ While it’s possible that the transform might exist even if this condition isn’t satisfied, there are a whole class of signals of interest that do not have a Fourier transform. We still need to be able to work with them. Consider the signal x(t)= e2tu(t). For positive values of t this signal grows exponentially without bound, and the Fourier integral does not converge. However, we observe that the modified signal σt φ(t)= x(t)e− does have a Fourier transform if we choose σ > 2. Thus φ(t) can be expressed in terms of frequency components ejωt for <ω< . −∞ ∞ The bilateral Laplace transform of a signal x(t) is defined to be ∞ st X(s)= x(t)e− dt, Z−∞ where s is a complex variable. The set of values of s for which this transform exists is called the region of convergence, or ROC. Suppose the imaginary axis s = jω lies in the ROC. The values of the Laplace transform along this line are ∞ jωt X(jω)= x(t)e− dt, Z−∞ which are precisely the values of the Fourier transform. -
Some Schemata for Applications of the Integral Transforms of Mathematical Physics
mathematics Review Some Schemata for Applications of the Integral Transforms of Mathematical Physics Yuri Luchko Department of Mathematics, Physics, and Chemistry, Beuth University of Applied Sciences Berlin, Luxemburger Str. 10, 13353 Berlin, Germany; [email protected] Received: 18 January 2019; Accepted: 5 March 2019; Published: 12 March 2019 Abstract: In this survey article, some schemata for applications of the integral transforms of mathematical physics are presented. First, integral transforms of mathematical physics are defined by using the notions of the inverse transforms and generating operators. The convolutions and generating operators of the integral transforms of mathematical physics are closely connected with the integral, differential, and integro-differential equations that can be solved by means of the corresponding integral transforms. Another important technique for applications of the integral transforms is the Mikusinski-type operational calculi that are also discussed in the article. The general schemata for applications of the integral transforms of mathematical physics are illustrated on an example of the Laplace integral transform. Finally, the Mellin integral transform and its basic properties and applications are briefly discussed. Keywords: integral transforms; Laplace integral transform; transmutation operator; generating operator; integral equations; differential equations; operational calculus of Mikusinski type; Mellin integral transform MSC: 45-02; 33C60; 44A10; 44A15; 44A20; 44A45; 45A05; 45E10; 45J05 1. Introduction In this survey article, we discuss some schemata for applications of the integral transforms of mathematical physics to differential, integral, and integro-differential equations, and in the theory of special functions. The literature devoted to this subject is huge and includes many books and reams of papers. -
Subtleties of the Laplace Transform
Troubles at the Origin: Consistent Usage and Properties of the Unilateral Laplace Transform Kent H. Lundberg, Haynes R. Miller, and David L. Trumper Massachusetts Institute of Technology The Laplace transform is a standard tool associated with the analysis of signals, models, and control systems, and is consequently taught in some form to almost all engineering students. The bilateral and unilateral forms of the Laplace transform are closely related, but have somewhat different domains of application. The bilateral transform is most frequently seen in the context of signal processing, whereas the unilateral transform is most often associated with the study of dynamic system response where the role of initial conditions takes on greater significance. In our teaching we have found some significant pitfalls associated with teaching our students to understand and apply the Laplace transform. These confusions extend to the presentation of this material in many of the available mathematics and engineering textbooks as well. The most significant confusion in much of the textbook literature is how to deal with the origin in the application of the unilateral Laplace transform. That is, many texts present the transform of a time function f(t) as Z ∞ L{f(t)} = f(t)e−st dt (1) 0 without properly specifiying the meaning of the lower limit of integration. Said informally, does the integral include the origin fully, partially, or not at all? This issue becomes significant as soon as singularity functions such as the unit impulse are introduced. While it is not possible to devote full attention to this issue within the context of a typical undergraduate course, this “skeleton in the closet” as Kailath [8] called it needs to be brought out fully into the light. -
A Note on Laplace Transforms of Some Particular Function Types
A Note on Laplace Transforms of Some Particular Function Types Henrik Stenlund∗ Visilab Signal Technologies Oy, Finland 9th February, 2014 Abstract This article handles in a short manner a few Laplace transform pairs and some extensions to the basic equations are developed. They can be applied to a wide variety of functions in order to find the Laplace transform or its inverse when there is a specific type of an implicit function involved.1 0.1 Keywords Laplace transform, inverse Laplace transform 0.2 Mathematical Classification MSC: 44A10 1 Introduction 1.1 General The following two Laplace transforms have appeared in numerous editions and prints of handbooks and textbooks, for decades. arXiv:1402.2876v1 [math.GM] 9 Feb 2014 1 ∞ 3 s2 2 2 4u Lt[F (t )],s = u− e− f(u)du (F ALSE) (1) 2√π Z0 u 1 f(ln(s)) ∞ t f(u)du L− [ ],t = (F ALSE) (2) s s ln(s) Z Γ(u + 1) · 0 They have mostly been removed from the latest editions and omitted from other new handbooks. However, one fresh edition still carries them [1]. Obviously, many people have tried to apply them. No wonder that they are not accepted ∗The author is obliged to Visilab Signal Technologies for supporting this work. 1Visilab Report #2014-02 1 anymore since they are false. The actual reasons for the errors are not known to the author; possibly it is a misprint inherited from one print to another and then transported to other books, believed to be true. The author tried to apply these transforms, stumbling to a serious conflict. -
THE ZEROS of QUASI-ANALYTIC FUNCTIONS1 (3) H(V) = — F U-2 Log
THE ZEROS OF QUASI-ANALYTICFUNCTIONS1 ARTHUR O. GARDER, JR. 1. Statement of the theorem. Definition 1. C(Mn, k) is the class of functions f(x) ior which there exist positive constants A and k and a sequence (Af„)"_0 such that (1) |/(n)(x)| ^AknM„, - oo < x< oo,» = 0,l,2, • • • . Definition 2. C(Mn, k) is a quasi-analytic class if 0 is the only element / of C(Mn, k) ior which there exists a point x0 at which /<">(*„)=0 for « = 0, 1, 2, ••• . We introduce the functions (2) T(u) = max u"(M„)_l, 0 ^ m < oo, and (3) H(v) = — f u-2 log T(u)du. T J l The following property of H(v) characterizes quasi-analytic classes. Theorem 3 [5, 78 ].2 Let lim,,.,*, M„/n= °o.A necessary and sufficient condition that C(Mn, k) be a quasi-analytic class is that (4) lim H(v) = oo, where H(v) is defined by (2) and (3). Definition 4. Let v(x) be a function satisfying (i) v(x) is continuously differentiable for 0^x< oo, (ii) v(0) = l, v'(x)^0, 0^x<oo, (iii) xv'(x)/v(x)=0 (log x)-1, x—>oo. We shall say that/(x)GC* if and only if f(x)EC(Ml, k), where M* = n\[v(n)]n and v(n) satisfies the above conditions. Definition 5. Let Z(u) be a real-valued function which is less Received by the editors November 29, 1954 and, in revised form, February 24, 1955. 1 Presented to the Graduate School of Washington University in partial fulfill- ment of the requirements for the degree of Doctor of Philosophy. -
Laplace Transform
Chapter 7 Laplace Transform The Laplace transform can be used to solve differential equations. Be- sides being a different and efficient alternative to variation of parame- ters and undetermined coefficients, the Laplace method is particularly advantageous for input terms that are piecewise-defined, periodic or im- pulsive. The direct Laplace transform or the Laplace integral of a function f(t) defined for 0 ≤ t< 1 is the ordinary calculus integration problem 1 f(t)e−stdt; Z0 succinctly denoted L(f(t)) in science and engineering literature. The L{notation recognizes that integration always proceeds over t = 0 to t = 1 and that the integral involves an integrator e−stdt instead of the usual dt. These minor differences distinguish Laplace integrals from the ordinary integrals found on the inside covers of calculus texts. 7.1 Introduction to the Laplace Method The foundation of Laplace theory is Lerch's cancellation law 1 −st 1 −st 0 y(t)e dt = 0 f(t)e dt implies y(t)= f(t); (1) R R or L(y(t)= L(f(t)) implies y(t)= f(t): In differential equation applications, y(t) is the sought-after unknown while f(t) is an explicit expression taken from integral tables. Below, we illustrate Laplace's method by solving the initial value prob- lem y0 = −1; y(0) = 0: The method obtains a relation L(y(t)) = L(−t), whence Lerch's cancel- lation law implies the solution is y(t)= −t. The Laplace method is advertised as a table lookup method, in which the solution y(t) to a differential equation is found by looking up the answer in a special integral table. -
Laplace Transforms: Theory, Problems, and Solutions
Laplace Transforms: Theory, Problems, and Solutions Marcel B. Finan Arkansas Tech University c All Rights Reserved 1 Contents 43 The Laplace Transform: Basic Definitions and Results 3 44 Further Studies of Laplace Transform 15 45 The Laplace Transform and the Method of Partial Fractions 28 46 Laplace Transforms of Periodic Functions 35 47 Convolution Integrals 45 48 The Dirac Delta Function and Impulse Response 53 49 Solving Systems of Differential Equations Using Laplace Trans- form 61 50 Solutions to Problems 68 2 43 The Laplace Transform: Basic Definitions and Results Laplace transform is yet another operational tool for solving constant coeffi- cients linear differential equations. The process of solution consists of three main steps: • The given \hard" problem is transformed into a \simple" equation. • This simple equation is solved by purely algebraic manipulations. • The solution of the simple equation is transformed back to obtain the so- lution of the given problem. In this way the Laplace transformation reduces the problem of solving a dif- ferential equation to an algebraic problem. The third step is made easier by tables, whose role is similar to that of integral tables in integration. The above procedure can be summarized by Figure 43.1 Figure 43.1 In this section we introduce the concept of Laplace transform and discuss some of its properties. The Laplace transform is defined in the following way. Let f(t) be defined for t ≥ 0: Then the Laplace transform of f; which is denoted by L[f(t)] or by F (s), is defined by the following equation Z T Z 1 L[f(t)] = F (s) = lim f(t)e−stdt = f(t)e−stdt T !1 0 0 The integral which defined a Laplace transform is an improper integral. -
Methods of Integral Transforms - V
COMPUTATIONAL METHODS AND ALGORITHMS – Vol. I - Methods of Integral Transforms - V. I. Agoshkov, P. B. Dubovski METHODS OF INTEGRAL TRANSFORMS V. I. Agoshkov and P. B. Dubovski Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia Keywords: Integral transform, Fourier transform, Laplace transform, Mellin transform, Hankel transform, Meyer transform, Kontorovich-Lebedev transform, Mehler-Foque transform, Hilbert transform, Laguerre transform, Legendre transform, convolution transform, Bochner transform, chain transform, wavelet, wavelet transform, problems of the oscillation theory, heat conductivity problems, problems of the theory of neutron slowing-down, problems of hydrodynamics, problems of the elasticity theory, Boussinesq problem, coagulation equation, physical kinetics. Contents 1. Introduction 2. Basic integral transforms 2.1. The Fourier Transform 2.1.1. Basic Properties of the Fourier Transform 2.1.2. The Multiple Fourier Transforms 2.2. The Laplace Transform 2.2.1. The Laplace Integral 2.2.2. The Inversion Formula for the Laplace Transform 2.2.3. Limit Theorems 2.3. The Mellin Transform 2.4. The Hankel Transform 2.5. The Meyer Transform 2.6. The Kontorovich-Lebedev Transform 2.7. The Mehler-Foque Transform 2.8. The Hilbert Transform 2.9. The Laguerre and Legendre Transforms 2.10. The Bochner Transform, the Convolution Transform, the Wavelet and Chain Transforms 3. The application of integral transforms to problems of the oscillation theory 3.1. Electric Oscillations 3.2. TransverseUNESCO Oscillations of a String – EOLSS 3.3. Transverse Oscillations of an Infinite Round Membrane 4. The application of integral transforms to heat conductivity problems 4.1. The SolutionSAMPLE of the Heat Conductivity CHAPTERS Problem by the use of the Laplace Transform 4.2. -
CONDITIONAL EXPECTATION Definition 1. Let (Ω,F,P)
CONDITIONAL EXPECTATION 1. CONDITIONAL EXPECTATION: L2 THEORY ¡ Definition 1. Let (,F ,P) be a probability space and let G be a σ algebra contained in F . For ¡ any real random variable X L2(,F ,P), define E(X G ) to be the orthogonal projection of X 2 j onto the closed subspace L2(,G ,P). This definition may seem a bit strange at first, as it seems not to have any connection with the naive definition of conditional probability that you may have learned in elementary prob- ability. However, there is a compelling rationale for Definition 1: the orthogonal projection E(X G ) minimizes the expected squared difference E(X Y )2 among all random variables Y j ¡ 2 L2(,G ,P), so in a sense it is the best predictor of X based on the information in G . It may be helpful to consider the special case where the σ algebra G is generated by a single random ¡ variable Y , i.e., G σ(Y ). In this case, every G measurable random variable is a Borel function Æ ¡ of Y (exercise!), so E(X G ) is the unique Borel function h(Y ) (up to sets of probability zero) that j minimizes E(X h(Y ))2. The following exercise indicates that the special case where G σ(Y ) ¡ Æ for some real-valued random variable Y is in fact very general. Exercise 1. Show that if G is countably generated (that is, there is some countable collection of set B G such that G is the smallest σ algebra containing all of the sets B ) then there is a j 2 ¡ j G measurable real random variable Y such that G σ(Y ). -
ARIC Surveillance Variable Dictionary Incident Stroke
ARIC Surveillance Variable Dictionary Incident Stroke April 2002 j:\aric\admin\vardict\stroke_inc ARIC Surveillance Variable Dictionary – Incidenta Stroke Table of Contents for Year YYb Alphabetical Index .....................................................................................................................................ii 1. Classification Variable COMPDIAG (Computer Diagnosis) ............................................................................................... 1 COMP_DX (Computer Diagnosis – Format Value) ....................................................................... 2 FINALDX (Final Diagnosis) .......................................................................................................... 3 FINAL_DX (Final Diagnosis – Format Value) .............................................................................. 4 2. Event Time/Type & Eligibility Variable DISDATE (Discharge/Death Date) ................................................................................................5 EVENTYPE (Event Type) .............................................................................................................. 6 YEAR (Event Year) ........................................................................................................................ 7 SK_ELIG2 (Stoke Eligibility) ........................................................................................................ 8 3. Incidence* Stroke Variable 3.1 Incident Event CENSORYY (Censoring Date) .....................................................................................................