Book contents
- Frontmatter
- Contents
- Dedication
- Preface
- Introduction
- 1 Summary of vector algebra
- Exercises A
- 2 The geometrical background to vector analysis
- 3 Metric properties of Euclidean space
- Exercises B
- 4 Scalar and vector fields
- Exercises C
- 5 Spatial integrals of fields
- 6 Further spatial integrals
- Exercises D
- 7 Differentiation of fields. Part 1: the gradient
- 8 Differentiation of fields. Part 2: the curl
- 9 Differentiation of fields. Part 3: the divergence
- 10 Generalisation of the three principal theorems and some remarks on notation
- Exercises E
- 11 Boundary behaviour of fields
- Exercises F
- 12 Differentiation and integration of products of fields
- 13 Second derivatives of vector fields; elements of potential theory
- Exercises G
- 14 Orthogonal curvilinear coordinates
- Exercises H
- 15 Time-dependent fields
- Exercises I
- Answers and comments
- Index
4 - Scalar and vector fields
Published online by Cambridge University Press: 23 December 2009
- Frontmatter
- Contents
- Dedication
- Preface
- Introduction
- 1 Summary of vector algebra
- Exercises A
- 2 The geometrical background to vector analysis
- 3 Metric properties of Euclidean space
- Exercises B
- 4 Scalar and vector fields
- Exercises C
- 5 Spatial integrals of fields
- 6 Further spatial integrals
- Exercises D
- 7 Differentiation of fields. Part 1: the gradient
- 8 Differentiation of fields. Part 2: the curl
- 9 Differentiation of fields. Part 3: the divergence
- 10 Generalisation of the three principal theorems and some remarks on notation
- Exercises E
- 11 Boundary behaviour of fields
- Exercises F
- 12 Differentiation and integration of products of fields
- 13 Second derivatives of vector fields; elements of potential theory
- Exercises G
- 14 Orthogonal curvilinear coordinates
- Exercises H
- 15 Time-dependent fields
- Exercises I
- Answers and comments
- Index
Summary
Scalar fields
Many physical quantities may be suitably characterised by scalar functions of position in space. Given a system of cartesian axes a scalar field ø can be represented as ø = ø(r), where r is the position vector defined in chapter 2. There is no real difference between this way of referring to a scalar field and the alternative statement ø = ø(x, y, z), except that in this latter form one is definitely committed to a particular set of cartesian coordinates for r, while the form ø(r) can be taken to refer to any coordinate axes – or indeed to any other equivalent way of defining the position vector r of a point.
In dealing with functions of a single variable, x say, the universal standby that helps one visualise the function is the simple graph, fig. 1. This notion is familiar enough to need no explanation and is so closely associated with the function itself that it is sometimes difficult to remember that the graph is not the function. But when we come to functions of more than one variable, things become rather different. Let us go one step at a time and first consider a function of two variables f(x, y). The values over which x and y vary cover all or part of the xy-plane – a plane where before we had a line – and the function f(x, y) may then be thought of as plotted in a third dimension which we may call z; z = f(x, y).
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- Chapter
- Information
- Vector AnalysisA Physicist's Guide to the Mathematics of Fields in Three Dimensions, pp. 37 - 44Publisher: Cambridge University PressPrint publication year: 1977