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Marcelo Epstein - Partial Differential Equations: Mathematical Techniques for Engineers

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Marcelo Epstein Partial Differential Equations: Mathematical Techniques for Engineers
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This monograph presents a graduate-level treatment of partial differential equations (PDEs) for engineers. The book begins with a review of the geometrical interpretation of systems of ODEs, the appearance of PDEs in engineering is motivated by the general form of balance laws in continuum physics. Four chapters are devoted to a detailed treatment of the single first-order PDE, including shock waves and genuinely non-linear models, with applications to traffic design and gas dynamics. The rest of the book deals with second-order equations. In the treatment of hyperbolic equations, geometric arguments are used whenever possible and the analogy with discrete vibrating systems is emphasized. The diffusion and potential equations afford the opportunity of dealing with questions of uniqueness and continuous dependence on the data, the Fourier integral, generalized functions (distributions), Duhamels principle, Greens functions and Dirichlet and Neumann problems. The target audience primarily comprises graduate students in engineering, but the book may also be beneficial for lecturers, and research experts both in academia in industry.

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Part I
Background
Springer International Publishing AG 2017
Marcelo Epstein Partial Differential Equations Mathematical Engineering 10.1007/978-3-319-55212-5_1
1. Vector Fields and Ordinary Differential Equations
Marcelo Epstein 1
(1)
Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada
Marcelo Epstein
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Although the theory of partial differential equations (PDEs) is not a mere generalization of the theory of ordinary differential equations (ODEs), there are many points of contact between both theories. An important example of this connection is provided by the theory of the single first-order PDE, to be discussed in further chapters. For this reason, the present chapter offers a brief review of some basic facts about systems of ODEs, emphasizing the geometrical interpretation of solutions as integral curves of a vector field.
1.1 Introduction
It is not an accident that one of the inventors of Calculus, Sir Isaac Newton (16421727), was also the creator of modern science and, in particular, of Mechanics. When we compare Keplers (15711630) laws of planetary motion with Newtons Picture 1 , we observe a clear transition from merely descriptive laws, that apply to a small number of phenomena, to structural and explanatory laws encompassing almost universal situations, as suggested in Fig.. This feat was achieved by Newton, and later perfected by others, in formulating general physical laws in the small (differentials) and obtaining the description of any particular global phenomenon by means of a process of integration (quadrature).
Fig 11 New science from old In other words Newton was the first to - photo 2
Fig. 1.1
New science from old
In other words, Newton was the first to propose that a physical law could be formulated in terms of a system of ordinary differential equations . Knowledge of the initial conditions (position and velocity of each particle at a given time) is necessary and sufficient to predict the behaviour of the system for at least some interval of time. From this primordial example, scientists went on to look for differential equations that unlock, as it were, the secrets of Nature. When the phenomena under study involve a continuous extension in space and time one is in the presence of a field theory , such as is the case of Solid and Fluid Mechanics, Heat Transfer and Electromagnetism. These phenomena can be described in terms of equations involving the fields and their partial derivatives with respect to the space and time variables, thus leading to the formulation of systems of partial differential equations . As we shall see in this course, and as you may know from having encountered them in applications, the analysis of these systems is not a mere generalization of the analysis of their ordinary counterparts. The theory of PDEs is a vast field of mathematics that uses the tools of various mathematical disciplines. Some of the specialized treatises are beyond the comprehension of non-specialists. Nevertheless, as with so many other mathematical areas, it is possible for engineers like us to understand the fundamental ideas at a reasonable level and to apply the results to practical situations. In fact, most of the typical differential equations themselves have their origin in engineering problems.
1.2 Curves and Surfaces in Picture 3
1.2.1 Cartesian Products, Affine Spaces
We denote by Picture 4 the set of real numbers. Recall the notion of Cartesian product of two sets, A and B , namely, the set consisting of all ordered pairs of the form a b where a belongs to A and - photo 5 consisting of all ordered pairs of the form ( a , b ), where a belongs to A and b belongs to B . More formally,
11 Note that the Cartesian product is not commutative Clearly we can - photo 6
(1.1)
Note that the Cartesian product is not commutative. Clearly, we can consider the Cartesian product of more than two sets (assuming associativity). In this spirit we can define
12 Thus can be viewed as the set of all ordered n -tuples of real numbers - photo 7
(1.2)
Thus, can be viewed as the set of all ordered n -tuples of real numbers It has a - photo 8 can be viewed as the set of all ordered n -tuples of real numbers. It has a natural structure of an n -dimensional vector space (by defining the vector sum and the multiplication by a scalar in the natural way).).
Fig 12 The affine nature of In this sense we can talk about a vector at - photo 9
Fig. 1.2
The affine nature of Picture 10
In this sense, we can talk about a vector at the point p . More precisely, however, each point of Picture 11 has to be seen as carrying its own copy of Picture 12 , containing all the vectors issuing from that point. This is an important detail. For example, consider the surface of a sphere. This is clearly a 2-dimensional entity. By means of lines of latitude and longitude, we can identify a portion of this entity with Picture 13 , as we do in geography when drawing a map (or, more technically, a chart ) of a country or a continent. But the vectors tangent to the sphere at a point p , do not really belong to the sphere. They belong, however, to a copy of the entire the tangent plane to the sphere at that point In the case in which the - photo 14 (the tangent plane to the sphere at that point). In the case in which the sphere is replaced by a plane, matters get simplified (and, at the same time, confused).
Fig 13 A parametrized curve 122 Curves in Consider now a continuous - photo 15
Fig. 1.3
A parametrized curve
1.2.2 Curves in Partial Differential Equations Mathematical Techniques for Engineers - image 16
Consider now a continuous map (that is, a continuous function)
Partial Differential Equations Mathematical Techniques for Engineers - image 17
(1.3)
where Picture 18 (with Picture 19
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