2.4 Complex conjugate Many manipulations involving complex numbers, such as division, can be simplified by using the idea of a complex conjugate, which we now introduce. The complex conjugate
2.3 Complex arithmetic Arithmetical operations on complex numbers are carried out as for real numbers, except that we replace i2 by −1 wherever it occurs. Let z1 = 1 + 2i and z2 = 3 ∠2.1 What is a complex number? We will now discuss complex numbers and their properties. We will show how they can be represented as points in the plane and state the Fundamental Theorem of Algebra: that any polynomial equation with complex coefficients has a solution which is a complex number. We will also define the function exp of a complex variable. Earlier we mentioned several sets of numbers, including 1.3 Further exercises Solve the following linear equations. (a)  5x + 8 = −2 (b)  1.2 Real numbers The rational and irrational numbers together make up the real numbers. The set of real numbers is denoted by 5.3 Neighbourhoods We know that a polygon X is a surface and so each point x in X has a disc-like or half-disc-like neighbourhood. We shall show that a map f that identifies edges of a polygon to create an object Y automatically creates corresponding disc-like or half-disc-like neighbourhoods of each point y = f(x) of Y. If x is in the interior of X, there is no difficulty: the point x has a disc-like neighbourhood U 5.2.1 Proof We check that Tf satisfies conditions (T1)–(T3) for a topology.
Since (T1)–(T3) are satisfied, Tf is a topology on I(X). Thus (I(X),Tf) is a topological space. We give the topology Tf a sp 5.2 The identification topology Our aim is to show that the object that we produce when we identify some or all the edges of a polygon is a surface. Therefore, by the definition of a surface given in Section 2.5, we must show how it can be given the structure of a topological space, and that this space is Hausdorff. Furthermore, we must show that every point has 5.1 Identifying edges of a polygon In this section, we revisit the construction of surfaces by identifying edges of polygons, as described in Section 2. Recall that, if we take any polygon in the plane and identify some of its edges in pairs, then we obtain a surface. When specifying how a given pair of edges is to be identified, we choose one of the two possible re 3.2.1 Remarks By ‘contains’, we mean that we can find part of the surface that is homeomorphic to a Möbius band. The edge of the Möbius band does not need to correspond to an edge at the surface, so that a surface without boundary can be non-orientable (as we shall shortly see). When seeking Möbius bands in a surface, it can be helpful to look at all possible closed curves on the surface and thicken these into bands. Remember, fro 2.4.1 Remarks This theorem applies to all surfaces and not just to surfaces in space. This theorem tells us that the boundary number is a topological invariant for surfaces, i.e. a property that is invariant under homeomorphisms. It follows from the theorem that two surfaces with different boundary numbers cannot be homeomorphic. It does not follow that two surfaces with the same boundary number are homeomorphic – 2.3.8 Sphere Surfaces can be constructed in a similar way from plane figures other than polygons. For example, starting with a disc, we can fold the left-hand half over onto the right-hand half, and identify the edges labelled a, as shown in Figure 36; this is rather like zipping up a purse, or ‘crimping’ a Cornish pasti 2.3.7 Two-fold torus As the polygons become more complicated, so the identifications become more difficult to visualise. For example, what happens if we try to identify the edges of an octagon in pairs, as indicated by the edge labels and arrowheads in Figure 34? Author(s): 2.3.4 Klein bottle There are two other surfaces that can be obtained by identifying both pairs of opposite edges of a rectangle. In one of these, shown in Figure 31, we first identify the edges AB and A'B', labelled a, in the direction shown by the arrowheads. This gives us a cylinder, as before. We then try to ident 2.1 Surfaces in space In Section 2 we start by introducing surfaces informally, considering several familiar examples such as the sphere, cube and Möbius band. We also illustrate how surfaces can be constructed from a polygon by identifying edges. A more formal approach to surfaces is presented at the end of the section. Figure 3 shows Learning outcomes By the end of this unit you should be able to: explain the terms surface, surface in space, disc-like neighbourhood and half-disc-like neighbourhood; explain the terms n-fold torus, torus with n holes, Möbius band and Klein bottle; explain what is meant by the boundary of a surface, and determine the boundary number of a given surface with boundary; construct certa Introduction This unit is concerned with a special class of topological spaces called surfaces. Common examples of surfaces are the sphere and the cylinder; less common, though probably still familiar, are the torus and the Möbius band. Other surfaces, such as the projective plane and the Klein bottle, may be unfamiliar, but they crop up in many places in mathematics. Our aim is to classify surfaces – that is, to produce criteria that allow us to determine whether two given surfaces are h Acknowledgements The content acknowledged below is Proprietary (see terms and conditions) and is used under licence. All materials included in this unit are derived from content originated at the Open University. Modelling pollution in the Great Lakes: a review The main teaching text of this unit is provided in the workbook below. The answers to the exercises that you'll find throughout the workbook are given in the answer book. You can access it by clicking on the link under the workbook. When prompted to watch the video for this unit, return to this page and watch the clips below. After you've watched the clips, return to the workbook. Click 'View document' to open the workbook (PDF, 0.3 MB). Introduction This is the fifth and final unit in the MSXR209 series on mathematical modelling. In this unit we revisit the model developed in the first unit of this series on pollution in the Great Lakes of North America. Here we evaluate and revise the original model by comparing its predictions against data from the lakes before finally reflecting on the techniques used. This unit, the fifth in a series of five, builds on ideas developed and introduced in Modelling pollution in the Great Lakes
Definition
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Example 1
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Exercise 4
. Like rationals, irrational numbers can be represented by decimals, but unlike the decimals for rational numbers, those for irrationals are neither finite nor recurring. All such infinite non-recurr