path of stocks is defined by the following stochastic partial differential equation The development of a transparent and reasonably robust options pricing model underpinned the transformational growth of the options market over the decades to follow. dS = (r - q -1/2sigma^2)dt + sigma dz In this document the key assumptions of the Black Scholes model are defined‚ the analytical solutions to the Black Scholes differential equations stated. where dz is a standard Brownian motion‚ defined
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Processing System Analysis Solving Differential Equations (ordinary and partial) Advantages of Laplace transformation A Laplace transformation technique reduces the solutions of an ordinary differential equation to the solution of an algebraic equation. When the Laplace transform technique is applied to a PDE‚ it reduces the number of independent variable by one. With application of Laplace transform‚ particular solution of differential equation is obtained directly without necessity
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Chapter 9: Differential Equations Solving Differential Equations: 1. Direct Integration Differential Equation Solution dy f x dx y f x dx C dy f y dx 1 dy f y dx 1 f y dy 1 f y dy d2 y f x dx 2 1 1 dx dy dx F x C y f x dx C F x C dx G x Cx D xC 2. Substitution Use the substitution v x y to find the general solution of the differential equation
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© Government of Tamilnadu First Edition-2005 Revised Edition 2007 Author-cum-Chairperson Dr. K. SRINIVASAN Reader in Mathematics Presidency College (Autonomous) Chennai - 600 005. Authors Dr. E. CHANDRASEKARAN Dr. C. SELVARAJ Selection Grade Lecturer in Mathematics Presidency College (Autonomous) Chennai - 600 005 Lecturer in Mathematics L.N. Govt. College‚ Ponneri-601 204 Dr. THOMAS ROSY Senior Lecturer in Mathematics Madras Christian College‚ Chennai - 600 059 Dr
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beginning of class. Show your work. 1. Match the differential equation in (a)-(c) to a family of solutions in (d)-(f). The point of this exercise is not to solve the differential equations in a) - c). (a) y = y 2 (b) y = 1 + y 2 (c) yy = 3x (d) y = tan(x + C) (e) 3x2 − y 2 = C (f) y = −1/(x + C) 2. Find the value of k so that y = e3t + ke2t is a solution of y − 2y − 3y = 3e2t . 3. Solve the following differential equations and IVP’s. You may solve these equations implicitly. (a) y + 3x2 y = x2 (b) y ln t
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Design of a Polystyrene Plant for Differing Single-Pass Conversions November 25‚ 2013 Introduction Polystyrene is one of the most widely used plastics‚ with applications ranging from food packaging to appliances to manufacturing (Maier). On an industrial scale‚ polystyrene is derived from its monomer‚ styrene. This is achieved by free-radical polymerization of a solution of monomer‚ polymer‚ and initiator. This reaction is a multistep radical reaction that
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don’t want to immediately compute an answer‚ or when you have a math "formula" to work on but don’t know how to "process" it. Matlab allows symbolic operations several areas including: * Calculus * Linear Algebra * Algebraic and Differential Equations * Transforms (Fourier‚ Laplace‚ etc) The key function in Matlab to create a symbolic representation of data is: sym() or syms if you have multiple symbols to make. Below is an example of creating some symbolic fractions and square roots:
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the mass-spring-damper system. The governing differential equation of a mass-spring-damper system is given by m x + c x + kx = F . Taking the Laplace transforms of the above equation (assuming zero initial conditions)‚ we have ms 2 X ( s ) + csX ( s ) + kX ( s ) = F ( s )‚ X ( s) 1 ⇒ = . 2 F ( s ) ms + cs + k Equation (1) represents the transfer function of the mass-spring-damper system. Example 2 Consider the system given by the differential equation y + 4 y + 3 y = 2r (t )‚ where r(t) is the input
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Methods for Differential Equations 1 2 NUMERICAL METHODS FOR DIFFERENTIAL EQUATIONS Introduction Differential equations can describe nearly all systems undergoing change. They are ubiquitous is science and engineering as well as economics‚ social science‚ biology‚ business‚ health care‚ etc. Many mathematicians have studied the nature of these equations for hundreds of years and there are many well-developed solution techniques. Often‚ systems described by differential equations are so
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the inflexion point. 2. People use differential equations to predict the spread of diseases through a population. Populations usually grow in an exponential fashion at first: However‚ populations do not continue to grow forever‚ because food‚ water and other resources get used up over time. Differential equations are used to predict populations of people‚ animals‚ bacteria and viruses that are being affected by external events. The logistic equation (developed in the mid-19th century) allows
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