</B><P><FONT face="Times New Roman"></FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> </FONT>Ⅰ<FONT face="Times New Roman">. Answer the following questions :</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 60.75pt; l36 lfo51?><FONT face="Times New Roman">1. What are the necessary conditions for operation to become an object of scientific approach?</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 60.75pt; l36 lfo51?><FONT face="Times New Roman">2. Point out the main points the 2<SUP>nd</SUP> and the 3<SUP>rd</SUP> definitions emphasize as compared with the first definition.</FONT></P><P 0cm 0pt; TEXT-INDENT: 21.75pt?>Ⅱ<FONT face="Times New Roman">. 1. Translate the third definitions of OR due to S. Beer.</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 60.75pt; l21 lfo52?><FONT face="Times New Roman">2. Translate the following sentences into Chinese ;</FONT></P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -52.5pt; -5.0;><FONT face="Times New Roman"> </FONT>ⅰ<FONT face="Times New Roman">) It was G. Gantor who first introduced the concept of the set as object of mathematical study.</FONT></P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -52.5pt; -5.0;><FONT face="Times New Roman"> </FONT>ⅱ<FONT face="Times New Roman">) The definition of probability due to Laplace provoked a great deal of argument when it was applied;</FONT></P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -52.5pt; -5.0;><FONT face="Times New Roman"> </FONT>ⅲ<FONT face="Times New Roman">) Nowadays, we usually adopted measure theoretic foundations of probability initiated by A. N. Kolomogorov.</FONT></P><P 0cm 0pt; TEXT-INDENT: 21.75pt?><FONT face="Times New Roman"><p></FONT><p><P 0cm 0pt?><FONT face="Times New Roman"><p></FONT><p><P 0cm 0pt?><FONT face="Times New Roman"><p></FONT><p><P 0cm 0pt?><FONT face="Times New Roman"><p></FONT><p>
数学专业英语[14]-The Theory of Graphs
<b>数学专业英语-The Theory of Graphs</b>
<P><FONT face="Times New Roman" size=3>In this chapter, we shall introduce the concept of a graph and show that graphs can be defined by square matrices and versa.</FONT></P>
<P><FONT face="Times New Roman"><FONT size=3>1.</FONT> <FONT size=3>Introduction</FONT></FONT></P>
<P><FONT face="Times New Roman" size=3>Graph theory is a rapidly growing branch of mathematics. The graphs discussed in this chapter are not the same as the graphs of functions that we studied previously, but a totally different kind. </FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Like many of the important discoveries and new areas of learning, graph theory also grew out of an interesting physical problem, the so-called Konigsberg bridge problem. (this problem is discussed in Section 2) The outstanding Swiss mathematician, Leonhard Euler (1707-1783) solved the problem in 1736, thus laying the foundation for this branch of mathematics. Accordingly, Euler is called the father of graph theory.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Gustay Robert Kirchoff (1824-1887), a German physicist, applied graph theory in his study of electrical networks. In1847, he used graphs to solve systems of linear equations arising from electrical networks, thus developing an important class of graphs called trees.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> In 1857, Arthur Caylcy discovered trees while working on differential equations. Later, he used graphs in his study of isomers of saturated hydrocarbons.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Camille Jordan (1838-1922), a French mathematician, William Rowan Hamilton, and Oystein Ore and Frank Harary, two American mathematicians, are also known for their outstanding contributions to graph theory. </FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Graph theory has important applications in chemistry, genetics, management science, Markov chains, physics, psychology, and sociology.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Throughout this chapter, you will find a very close relationship between graphs and matrices. </FONT></FONT></P>
<P><FONT face="Times New Roman"><FONT size=3>2.</FONT> <FONT size=3>The Konigsberg Bridge Problem</FONT></FONT></P>
<P><FONT face="Times New Roman" size=3>The Russian city of Konigsberg (now Kaliningrad, Russia) lies on the Pregel River.(See Fig.1) It consists of banks A and D of the river and the two islands B and C. There are seven bridges linking the four parts of the city.</FONT></P>
<P><FONT face="Times New Roman"><FONT size=3> Residents of the city used to take evening walks from one section of the city to another and go over some of these bridges. This, naturally, suggested the following interesting problem: can one walk through the city crossing each bridge exactly once? The problem sounds simple, doesn’t it?You might want to try a few paths before going any further. After all, by the fundamental counting principle, the number of possible paths cannot exceed 7!=5040. Nonetheless, it would be time consuming to look at each of them to find one that works.</FONT></FONT></P>
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<P align=center><v:shapetype><v:stroke joinstyle="miter"></v:stroke><v:formulas><v:f eqn="if lineDrawn pixelLineWidth 0"></v:f><v:f eqn="sum @0 1 0"></v:f><v:f eqn="sum 0 0 @1"></v:f><v:f eqn="prod @2 1 2"></v:f><v:f eqn="prod @3 21600 pixelWidth"></v:f><v:f eqn="prod @3 21600 pixelHeight"></v:f><v:f eqn="sum @0 0 1"></v:f><v:f eqn="prod @6 1 2"></v:f><v:f eqn="prod @7 21600 pixelWidth"></v:f><v:f eqn="sum @8 21600 0"></v:f><v:f eqn="prod @7 21600 pixelHeight"></v:f><v:f eqn="sum @10 21600 0"></v:f></v:formulas><v:path extrusionok="f" connecttype="rect" gradientshapeok="t"></v:path><LOCK aspectratio="t" v:ext="edit"></LOCK></v:shapetype><v:shape><v:imagedata><FONT face="Times New Roman" size=3></FONT></v:imagedata></v:shape></P>
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<P align=center><FONT face="Times New Roman" size=3>Fig .1 The city of Konigsberg</FONT></P>
<P><FONT face="Times New Roman" size=3>In 1736, Euler proved that no such walk is possible. In fact, he proved a far more general theorem, of which the Konigsberg bridge problem is a special case. </FONT></P>
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<P align=center><FONT face="Times New Roman" size=3>Fig .2 A mathematical model for the Konigsberg bridge problem</FONT></P>
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<P><FONT size=3><FONT face="Times New Roman"> Let us construct a mathematical model for this problem.rcplace each area of the city by a point in a plane. The points A, B, C,and D denote the areas they represent and are called vertices. The arcs or lines joining these points represent the represent the respective bridges. (See</FONT>图2<FONT face="Times New Roman">)They are called edges. The Konigsberg bridge problem can now be stated as follows: Is it possible to trace this figure without lifting your pencil from paper or going over the same edge twice? Euler proved that a figure like this can be traced without lifting pencil and without traversing the same edge twice if and only if it has no more than weo vertices with an odd number of edges joining them. Observe that more than two vertices in the figure have an odd number of edges connecting them-----in fact,they all do.</FONT></FONT></P> <P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l41 lfo53?><FONT face="Times New Roman">1. Graphs</FONT></P><P 0cm 0pt?><FONT face="Times New Roman">Let us return to the example Friendly Airlines flies to the five cities, Boston (B), Chicago (C), Detroit (D), Eden (E), and Fairyland (F) as follows: it has direct daily flights from city B to cities C, D, and F, from C to B, D, and E; from D to B, C, and F, from E to C, and from F to B and D. This information, though it sounds complicated, can be conveniently represented geometrically, as in </FONT>图<FONT face="Times New Roman">3. Each city is represented by a heavy dot in the figure; an arc or a line segment between two dots indicates that there is a direct flight between these cities.</FONT></P><P 0cm 0pt?><v:shapetype><v:stroke joinstyle="miter"></v:stroke><v:formulas><v:f eqn="if lineDrawn pixelLineWidth 0"></v:f><v:f eqn="sum @0 1 0"></v:f><v:f eqn="sum 0 0 @1"></v:f><v:f eqn="prod @2 1 2"></v:f><v:f eqn="prod @3 21600 pixelWidth"></v:f><v:f eqn="prod @3 21600 pixelHeight"></v:f><v:f eqn="sum @0 0 1"></v:f><v:f eqn="prod @6 1 2"></v:f><v:f eqn="prod @7 21600 pixelWidth"></v:f><v:f eqn="sum @8 21600 0"></v:f><v:f eqn="prod @7 21600 pixelHeight"></v:f><v:f eqn="sum @10 21600 0"></v:f></v:formulas><v:path extrusionok="f" connecttype="rect" gradientshapeok="t"></v:path><LOCK aspectratio="t" v:ext="edit"></LOCK></v:shapetype><v:shape><FONT face="Times New Roman"><v:imagedata></v:imagedata><v:textbox style="mso-next-textbox: #_x0000_s1026"></v:textbox><w:wrap type="tight"></w:wrap></FONT></v:shape><FONT face="Times New Roman"> What does this figure have in common with </FONT>图2<FONT face="Times New Roman">? Both consist of points (denoted by thick dots ) connected by arcs or line segments. Such a figure is called a graph. The points are the vertices of the graph; the arcs and line segments are its edges. More generally, we make the following definition:</FONT></P><P 0cm 0pt; TEXT-INDENT: 21.75pt?><FONT face="Times New Roman">A graph consists of a finite set of points, together with arcs or line segments connecting some of them. These points are called the vertices of the graph; the arcs and line segments are called the edges og the graph. The vertices of graph are usually denoted by the letters A, B, C, and so on. An edge joining the vertices A and B is denoted by AB or A-B.</FONT></P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: 336pt; 32.0;><FONT face="Times New Roman">Fig .3</FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> </FONT>图2<FONT face="Times New Roman">and </FONT>图<FONT face="Times New Roman">3 are graphs. Other graphs are shown in </FONT>图<FONT face="Times New Roman">4. The graph in</FONT>图2<FONT face="Times New Roman"> has four vertices A, B, C, and D, and seven edges AB, AB, AC, BC, BD, CD, and BD. For the graph in</FONT>图<FONT face="Times New Roman">4b, there are four vertices, A, B, C, and D, but only two edges AD and CD. Consider the graph in</FONT>图<FONT face="Times New Roman">4c, it contains an edge emanating from and terminating at the same vertex A. Such an edge is called a loop. The graph in</FONT>图<FONT face="Times New Roman">4d contains two edges between the vertices A and C and a loop at the vertex C. </FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> </FONT><v:shape><v:imagedata></v:imagedata></v:shape><FONT face="Times New Roman"> </FONT></P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: 10.5pt; 1.0;><FONT face="Times New Roman">
</FONT><p><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: 10.5pt; 1.0;><FONT face="Times New Roman">The number of edges meeting at a vertex A is called the valence or degree of the vertex, denoted by v(A). For the graph in</FONT>图<FONT face="Times New Roman">4b, we have v(A)=1, v(B)=0, v(C)=1, and v(D)=2. In</FONT>图<FONT face="Times New Roman">4b, we have v(A)=3, v(B)=2, and v(C)=4.</FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> A graph can conveniently be described by using a square matrix in which the entry that belong to the row headed by X and the column by Y gives the number of edges from vertex X to vertex Y. This matrix is called the matrix representation of the graph; it is usually denoted by the letter M.</FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> The matrix representation of the graph for the Konigsberg problem is </FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> </FONT><v:shape><v:imagedata></v:imagedata></v:shape></P><P 0cm 0pt?><FONT face="Times New Roman">Clearly the sum of the entries in each row gives the valence of the corresponding vertex. We have v(A)=3, v(B)=5, v(C)=3, as we would expect.</FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> Conversely, every symmetric square matrix with nonnegative integral entries can be considered the matrix representation of some graph. For example, consider the matrix </FONT></P><P 0cm 0pt?><FONT face="Times New Roman"> A B C D </FONT></P><P 0cm 0pt?><v:shape><v:imagedata><FONT face="Times New Roman"></FONT></v:imagedata></v:shape></P><P 0cm 0pt?><FONT face="Times New Roman">Clearly, this is the matrix representation of the graph in </FONT>图<FONT face="Times New Roman">5.</FONT></P> <DIV class=Section1 style="LAYOUT-GRID: 15.6pt none"><P align=center 0cm 0pt; TEXT-ALIGN: center?><B normal?><FONT face="Times New Roman">Vocabulary
</FONT></B><p></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section2 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Network </FONT>网络</P><P 0cm 0pt?><FONT face="Times New Roman">Electrical network </FONT>电网络</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section3 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Isomer </FONT>异构体<FONT face="Times New Roman"> </FONT></P><P 0cm 0pt?><FONT face="Times New Roman">emanate </FONT>出发,引出</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section4 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Saturated hydrocarbon </FONT>饱和炭氢化合物<FONT face="Times New Roman"> </FONT></P><P 0cm 0pt?><FONT face="Times New Roman">terminate </FONT>终止,终结</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section5 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Genetics </FONT>遗传学</P><P 0cm 0pt?><FONT face="Times New Roman">valence </FONT>度</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section6 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Management sciences </FONT>管理科学</P><P 0cm 0pt?><FONT face="Times New Roman">node </FONT>结点</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section7 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Markov chain </FONT>马尔可夫链</P><P 0cm 0pt?><FONT face="Times New Roman">interconnection </FONT>相互连接</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section8 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: 378pt; -378pt; -36.0;><FONT face="Times New Roman">Psychology </FONT>心理学<FONT face="Times New Roman"> Konigsberg bridge problem </FONT>康尼格斯堡</P><P 0cm 0pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -5.25pt; -.5;>桥问题</P></DIV><BR clear=all auto; mso-break-type: section-break?><DIV class=Section9 style="LAYOUT-GRID: 15.6pt none"><P 0cm 0pt?><FONT face="Times New Roman">Sociology </FONT>社会学</P><P 0cm 0pt?><FONT face="Times New Roman">Line-segment </FONT>线段</P></DIV><B normal?><BR clear=all mso-break-type: section-break? always;></B> <P align=center 0cm 0pt; TEXT-ALIGN: center?><B normal?><FONT face="Times New Roman">Notes
</FONT></B><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l13 lfo54?><FONT face="Times New Roman">1. Camille Jordan, a French mathematician, William Rowan Hamilton and <B normal?>. . . <p></B></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"><B normal?> </B></FONT>注意:<FONT face="Times New Roman">a French mathematician </FONT>是<FONT face="Times New Roman">Camille Jordan </FONT>的同位语不要误为<FONT face="Times New Roman">W.R.Hamilton </FONT>是<FONT face="Times New Roman">a French mathematician </FONT>同位语这里关于<FONT face="Times New Roman">W.R.Hamilton </FONT>因在本文前几节已作介绍,所以这里没加说明。</P><P align=left 0cm TEXT-ALIGN: left; 0pt 21pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -21pt; -2.0;>2.<FONT face="Times New Roman">After all, by the fundamental counting principle, the number of possible paths cannot exceed 7!= 5040. Nonetheless, it would be time consuming to look at each of them to find one that works. </FONT></P><P align=left 0cm TEXT-ALIGN: left; 0pt 21pt; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: -21pt; -2.0;><FONT face="Times New Roman"> </FONT>意思是:毕竟,由基本的计算原理知,可能的路径的总数,不会超过<FONT face="Times New Roman">5040</FONT>个。然而逐一地去考察这些路径是否有一条路适合题意,那是太耗费时间了,<FONT face="Times New Roman">that works </FONT>意思是:“有效”,这里可理解为:“适合题意”。</P><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman">3.It is possible to trace the figure without lifting your pencil from paper or going the same edge twice?</FONT></P><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"> </FONT>意思是:是否能够跟踪图形而使你的铅笔不离开纸且不走过同一条边两次呢?这一句在英语上等同于<FONT face="Times New Roman">without lifting your pencil from paper and without going over the same edge twice. </FONT></P><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l41 lfo53?><FONT face="Times New Roman">1. <B normal?>. . .</B>in fact, they all do. </FONT></P><P align=left 0cm 0pt; TEXT-ALIGN: left?><B normal?><FONT face="Times New Roman"> </FONT></B>这里<FONT face="Times New Roman">they</FONT>代表顶点<FONT face="Times New Roman">vertices; do </FONT>代表<FONT face="Times New Roman">have an odd number of edges connecting them.</FONT></P><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l41 lfo53?><FONT face="Times New Roman">2. A is called the valence or degree of the vertex, denoted by v(A).</FONT></P><P align=left 0cm 0pt; TEXT-ALIGN: left; TEXT-INDENT: 10.5pt? mso-char-indent-count: mso-char-indent-size: 52.5pt; 5.0;>注意<FONT face="Times New Roman">denoted </FONT>前面的逗号,可使读者不至于误会<FONT face="Times New Roman">v(A)</FONT>是用来记<FONT face="Times New Roman">vertex</FONT>的。这里<FONT face="Times New Roman">v(A)</FONT>是用来记A的V<FONT face="Times New Roman">alence.</FONT></P><P align=left 0cm TEXT-ALIGN: left; 0pt TEXT-INDENT: 15.75pt; 10.5pt? mso-char-indent-count: mso-char-indent-size: -15.75pt; -1.5;>6<FONT face="Times New Roman">. the entry that belongs to the row headed by X and column headed by Y gives the number of edges from vertex X to vertex Y. </FONT></P><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"> </FONT>意思是:属于X行,Y列这一项的数字给出了从顶点X到顶点Y的边数。这里<FONT face="Times New Roman">the row headed by X</FONT>意是冠以X的行,可简称X行或等X行。</P><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"><p></FONT><p> <P align=center 0cm 0pt; TEXT-ALIGN: center?><B normal?><FONT face="Times New Roman">Exercise
</FONT></B><p><P align=left 0cm 0pt; TEXT-ALIGN: left?>Ⅰ<FONT face="Times New Roman">.answer the following questions: <p></FONT><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: TEXT-INDENT: mso-list: list level2 -18pt; 39pt; 39.0pt; l46 lfo55?><FONT face="Times New Roman">1. How is the Konigsberg Bridge problem stated? <p></FONT><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: TEXT-INDENT: mso-list: list level2 -18pt; 39pt; 39.0pt; l46 lfo55?><FONT face="Times New Roman">2. According to Euler’s theorem, why is the answer of the Konigsberh Bridge Problem negative? <p></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?>Ⅱ<FONT face="Times New Roman">.Translate the following passages into Chinese: <p></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"> When a number of electrical components are connected together, we are said to have an electrical network. The junction between two or more components in a network are called nodes of the network, Each path joining a pair of nodes and through interconnections is best described by a diagram which eliminates all the electrical properties of the components. This graph is obtained by redrawing the circuit of the network with lines replacing the electrical components. <p></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?><FONT face="Times New Roman"> The graph makes clear the existence of a number of closed paths which may be traced along the branches. Such closed paths are called loops. Of the total number of loops of a network, a certain number of independent loops may be chosen. One way of choosing a set of independent loops is as follows:form, from the network, a sub-network by removing branches until no loops remain, although each node is still connected by a single path to another node. Such a structure is called a tree of the network. <p></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?>Ⅲ<FONT face="Times New Roman">.Translate the following sentences into English (in each sentence, make use of the phrase given in bracket): <p></FONT><p><P align=left 0cm 0pt; TEXT-ALIGN: left?>下面简写The Konigsberg Bridge problem 为K.B.问题 <p><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: 21pt; TEXT-INDENT: mso-list: level1 list -21pt; 21.0pt; l39 lfo56?>1.K.B.问题只不过是尤拉所证明的定理的一个特例。(a special case) <p><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: 21pt; TEXT-INDENT: mso-list: level1 list -21pt; 21.0pt; l39 lfo56?>2.从尤拉关于图论的一个定理,即可得K.B.问题的答案。(follows immediately from.) <p><p><P align=left 0cm TEXT-ALIGN: left; 0pt tab-stops: 21pt; TEXT-INDENT: mso-list: level1 list -21pt; 21.0pt; l39 lfo56?>3.K.B.问题的不可能性是尤拉定理的一个直接结果。(a direct consequence of)</P>
数学专业英语[15]-Probability
<P><FONT face="Times New Roman" size=3>The mathematics to which our youngsters are exposed at school is. With rare exceptions, based on the classical yes-or-no, right-or-wrong type of logic. It normally doesn’t include one word about probability as a mode of reasoning or as a basis for comparing several alternative conclusions. Geometry, for instance, is strictly devoted to the “if-then” type of reasoning and so to the notion (idea) that any statement is either correct or incorrect.</FONT></P><P><FONT size=3><FONT face="Times New Roman"> However, it has been remarked that life is an almost continuous experience of having to draw conclusions from insufficient evidence, and this is what we have to do when we make the trivial decision as to whether or not to carry an umbrella when we leave home for work. This is what a great industry has to do when it decides whether or not to put $50000000 into a new plant abroad. In none of these case and indeed, in practically no other case that you can suggest, can one proceed by saying:” I know that A, B, C, etc. are completely and reliably true, and therefore the inevitable conclusion is~~” For there is another mode of reasoning, which does not say: This statement is correct, and its opposite is completely false.” But which say: There are various alternative possibilities. No one of these is certainly correct and true, and no one certainly incorrect and false. There are varying degrees of plausibility—of probability—for all these alternatives. I can help you understand how these plausibility’s compare; I can also tell you reliable my advice is.”</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> This is the kind of logic, which is developed in the theory of probability. This theory deals with not two truth-values—correct or false—but with all the in intermediate truth values: almost certainly true, very probably true, possibly true, unlikely, very unlikely, etc. Being a precise quantities theory, it does not use phrases such as those just given, but calculates for any question under study the numerical probability that it is true. If the probability has the value of 1, the answer is an unqualified “yes” or certainty. If it is zero (0), the answer is an unqualified “no” i.e. it is false or impossible. If the probability is a half (0.5), then the chances are even that the question has an affirmative answer. If the probability is tenth (0.1), then the chances are only 1 in 10 that the answer is “yes.”</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> It is a remarkable fact that one’s intuition is often not very good at csunating answers to probability problems. For ex ample, how many persons must there are at least two persons in the room with the same birthday (born on the same day of the month)? Remembering that there are 356 separate birthdays possible, some persons estimate that there would have to be 50, or even 100, persons in the room to make the odds better than even. The answer, in fact, is that the odds are better than eight to one that at least two will have the same birthday. Let us consider one more example: Everyone is interested in polls, which involve estimating the opinions of a large group (say all those who vote) by determining the opinions of a sample. In statistics the whole group in question is called the “universe” or “population”. Now suppose you want to consult a large enough sample to reflect the whole population with at least 98% precision (accuracy) in 99out of a hundred instances: how large does this very reliable sample have to be? If the population numbers 200 persons, then the sample must include 105 persons, or more than half the whole population. But suppose the population consists of 10,000 persons, or 100,000 persons? In the case of 10,000 persons, or 1000,000 person? In the case of 10,000 persons, a sample, to have the stated reliability, would have to consist of 213 persons: the sample increases by only 108 when the population increases by 9800. And if you add 90000 more to the population, so that it now numbers 100000, you have to add only 4 to the sample. The less credible this seems to you, the more strongly I make the point that it is better to depend on the theory of probability rather than on intuition.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> Although the subject started out (began) in the seventeenth century with games of chance such as dice and cards, it soon became clear that it had important applications to other fields of activity. In the eighteenth century Laplace laid the foundations for a theory of errors, and Gauss later develop this into a real working tool for all experimenters and observers. Any measurement or set of measurement is necessarily is necessarily inexact; and it is a matter of the highest importance to know how to take a lot of necessarily discordant data, combine them in the best possible way, and produce in addition some useful estimate of the dependability of the results. Other more modern fields of application are: in life insurance; telephone traffic problems; information and communication theory; game theory, with applications to all forms of competition, including business international politics and war; modern statistical theories, both for the efficient design of experiments and for the interpretation of the results of experiments; decision theories, which aid us in making judgments; probability theories for the process by which we learn, and many more.</FONT></FONT></P>
<P><FONT size=3><FONT face="Times New Roman"> ----Weaver, W.</FONT></FONT></P> <P 0cm 0pt; TEXT-INDENT: 153pt?><B><FONT face="Times New Roman">Vocabulary
</FONT></B><p><P 0cm 0pt?><FONT face="Times New Roman">Probability </FONT>概率论<FONT face="Times New Roman"> permutation </FONT>置换</P><P 0cm 0pt?><FONT face="Times New Roman">Plausibility </FONT>似乎合理<FONT face="Times New Roman"> binomial coefficient </FONT>二次式系数</P><P 0cm 0pt?><FONT face="Times New Roman">Affirmative </FONT>肯定的<FONT face="Times New Roman"> generating function </FONT>母函数</P><P 0cm 0pt?><FONT face="Times New Roman">Estimate </FONT>估计<FONT face="Times New Roman"> even </FONT>事件</P><P 0cm 0pt?><FONT face="Times New Roman">Discordant </FONT>不一致的<FONT face="Times New Roman"> information and communication theory</FONT></P><P 0cm 0pt?><FONT face="Times New Roman">Communication theory </FONT>通讯理论<FONT face="Times New Roman"> </FONT>信息与通讯论</P><P 0cm 0pt?><FONT face="Times New Roman">Decision theory </FONT>决策论<FONT face="Times New Roman"> game theory </FONT>对策论,博弈论</P><P 0cm 0pt?><FONT face="Times New Roman"><p></FONT><p> <P 0cm 0pt; TEXT-INDENT: 153pt?><B><FONT face="Times New Roman">Notes</FONT></B></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l70 lfo57?><FONT face="Times New Roman">1. Geometry, for example, is strictly devoted to the “if—then” type of reasoning and so to the notion (idea) that any statement is either correct or incorrect.</FONT></P><P 0cm 0pt 18pt?>意思是:例如几何学就是严格地属于那种“如果,则”的推理类型,所以它也就属于那种对任何陈述要么是对的要么是不对的概念范围。<FONT face="Times New Roman">Is devoted to </FONT>意思是:“奉献于”,这里可作:“属于”解,注意在<FONT face="Times New Roman">and so to the notion~~</FONT>中,在前面省去<FONT face="Times New Roman">is devoted.</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l70 lfo57?><FONT face="Times New Roman">2. However, it has been remarked that life is an almost continuous experience when we leave home for work.</FONT></P><P 0cm 0pt 18pt?>意思是:然而,人们已经注意到,生活就是这样一种几乎不断地需要我们从不充分的证据中去做出结论的经历,这就是对诸如我们离家上班时是否要带雨伞做出定时,我们所需要做的。</P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list 18.0pt; 18pt; -18pt; l70 lfo57?><FONT face="Times New Roman">3. If the probability has value of 1, the answer is an unqualified “yes” or certainty.</FONT></P><P 0cm 0pt 18pt?>这里<FONT face="Times New Roman">unqualified</FONT>解作:“绝对的”,“十足的”。如<FONT face="Times New Roman"> an unqualified certainty (</FONT>绝对的肯定<FONT face="Times New Roman">)</FONT>;<FONT face="Times New Roman"> An unqualified success (</FONT>彻底胜利<FONT face="Times New Roman">)</FONT>。注意<FONT face="Times New Roman"> qualified </FONT>常解作:“有资格的”,“合格的”。如<FONT face="Times New Roman"> a qualified technician (</FONT>合格的技术员<FONT face="Times New Roman">)</FONT>;<FONT face="Times New Roman"> qualified examination (</FONT>资格考试,美国高等学校研究生院的一种考试<FONT face="Times New Roman">)</FONT>。</P><P 0cm 0pt?><FONT face="Times New Roman">4</FONT>.<FONT face="Times New Roman"> If the probability is a half, then the chances are even that the question has an affirmative answer.</FONT></P><P 0cm 0pt TEXT-INDENT: 18pt; 21.75pt?>意思是:如果概率是一半的话,那么问题有肯定答案的机会是对等的。注意这里<FONT face="Times New Roman">even</FONT>作“对等”解。</P><P 0cm 0pt?><FONT face="Times New Roman">5</FONT>.<FONT face="Times New Roman"> The less credible this seems to you, the more strongly I make the point that it is better to depend on the theory of probability rather than on intuition.</FONT></P><P 0cm 0pt; TEXT-INDENT: 37.5pt?>意思是:这对你越不可信,我们就要强调这种论点:宁可依靠概率论而不愚信直观,这里<FONT face="Times New Roman">make the point that </FONT>意思是:“主张;强调;视<FONT face="Times New Roman">~~</FONT>为重要”<FONT face="Times New Roman"> .</FONT></P> <P 0cm 0pt; TEXT-INDENT: 153pt?><FONT face="Times New Roman"><B>Exercise</B>
</FONT><p><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 55.5pt; 0cm; l27 lfo58?><FONT face="Times New Roman">1. Translate the following passage into Chinese</FONT></P><P 0cm 0pt 55.5pt?><FONT face="Times New Roman">The origin of the theory of probability goes Bach to the mathematical problems connected with dice throwing that were discusses in letters exchanged by B.Ppascal and P.de Fermat in the 17<SUP>th</SUP> century. These problems were principally concerned with concepts, such as permutations, combinations, and binomial coefficients, whose theory was established about the same time. This elementary theory of probability was later enriched by the work of scholars such as Jacob Bernoulli, A.de Moivre, T.Bayes, L, de Buffon, Danial Bcrnoulli, A, M, Legendre, and J.L. Lagrange. Finally, P.S. Laplace completed the classical theory of probability in his book “Throrie analytique des probabilities” (1812). In this work, Laplace not only systemized also greatly extended previous important results by introducing new methods such as the use of difference equations and generating functions. Since the 19<SUP>th</SUP> century, the theory of probability has been extensively applied to the natural sciences and even to social sciences.</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 55.5pt; l27 lfo58?><FONT face="Times New Roman">2. Translate the following sentences into Chinese:</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: list level2 -18pt; l27 lfo58? 76.5pt;><FONT face="Times New Roman">1. The term random process is use to describe process that gives rise to one of a number of admitted possible outcomes but which outcome cannot be predicted with any certainty in advance.</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: list level2 -18pt; l27 lfo58? 76.5pt;><FONT face="Times New Roman">2. Tow events A and B in a probability model with sample space and probability function P are said to be independent if</FONT></P><P 0cm 0pt TEXT-INDENT: 27pt? 58.5pt;><FONT face="Times New Roman">P (A B) =P(A) </FONT>·<FONT face="Times New Roman">P(B)</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 55.5pt; l27 lfo58?><FONT face="Times New Roman">3. Describe briefly the kind of logic developed in the theory of Probability.</FONT></P><P 0cm 0pt tab-stops: TEXT-INDENT: mso-list: level1 list -18pt; 55.5pt; l27 lfo58?><FONT face="Times New Roman">4. Translate the following sentences into English (make use of the phrase or the phrases in the bracket):</FONT></P><P 0cm 0pt 55.5pt?>设<FONT face="Times New Roman">X=, A X (A X) </FONT>是一开集,<FONT face="Times New Roman"> </FONT>又设<FONT face="Times New Roman">a A </FONT>令<FONT face="Times New Roman">r=sup{ : A}, </FONT>求证<FONT face="Times New Roman">a+r …A. (</FONT>这一部分不用翻译,<FONT face="Times New Roman"> </FONT>仅需翻译下下面证明部分<FONT face="Times New Roman">)</FONT></P><P 0cm 0pt 55.5pt?>证明:(<FONT face="Times New Roman">1</FONT>)若论不成六,即是说<FONT face="Times New Roman">a+r A</FONT>,则由于<FONT face="Times New Roman">A</FONT>是开集,存在<FONT face="Times New Roman"> >0</FONT>使得<FONT face="Times New Roman"> A, </FONT>从而<FONT face="Times New Roman">[(a,a+r+ ) A, </FONT>这与<FONT face="Times New Roman">r </FONT>的定义矛盾。(<FONT face="Times New Roman">~~~would not hold, or~~~were false, or were not true; contrary to</FONT>)</P><P 0cm 0pt TEXT-INDENT: 32.25pt? 55.5pt;><FONT face="Times New Roman">(2)</FONT>若<FONT face="Times New Roman">a+r A,</FONT>则由于<FONT face="Times New Roman">A</FONT>是开集,存在<FONT face="Times New Roman"> >0</FONT>使得<FONT face="Times New Roman"> A</FONT>,由这推出<FONT face="Times New Roman"> A,</FONT>这是不可能的。故<FONT face="Times New Roman">a+r A. (this implies)</FONT></P><P 0cm 0pt TEXT-INDENT: 32.25pt? 55.5pt;><FONT face="Times New Roman">(3)</FONT>若论断是错的,则由于<FONT face="Times New Roman">A</FONT>是开集,存在<FONT face="Times New Roman"> >0</FONT>使得<FONT face="Times New Roman">[(a+r,a+r+ ) A,</FONT>从而<FONT face="Times New Roman"> A,</FONT>这就导至与<FONT face="Times New Roman">r</FONT>是<FONT face="Times New Roman"> </FONT>的上确界这一事实相矛盾结论。(<FONT face="Times New Roman">leads to contradiction to the that</FONT>)</P>