CHAPTER 3. VECTOR ALGEBRA Part 1: Addition and Scalar

Total Page:16

File Type:pdf, Size:1020Kb

CHAPTER 3. VECTOR ALGEBRA Part 1: Addition and Scalar CHAPTER 3. VECTOR ALGEBRA Part 1: Addition and Scalar Multiplication for Vectors. §1. Basics. Geometric or physical quantities such as length, area, volume, tempera- ture, pressure, speed, energy, capacity etc. are given by specifying a single numbers. Such quantities are called scalars, because many of them can be measured by tools with scales. Simply put, a scalar is just a number. Quantities such as force, velocity, acceleration, momentum, angular velocity, electric or magnetic field at a point etc are vector quantities, which are represented by an arrow. If the ‘base’ and the ‘head’ of this arrow are B and H repectively, then we denote this vector by −−→BH: Figure 1. Often we use a single block letter in lower case, such as u, v, w, p, q, r etc. to denote a vector. Thus, if we also use v to denote the above vector −−→BH, then v = −−→BH.A vector v has two ingradients: magnitude and direction. The magnitude is the length of the arrow representing v, and is denoted by v . In case v = −−→BH, certainly we | | have v = −−→BH for the magnitude of v. The meaning of the direction of a vector is | | | | self–evident. Two vectors are considered to be equal if they have the same magnitude and direction. You recognize two equal vectors in drawing, if their representing arrows are parallel to each other, pointing in the same way, and have the same length 1 Figure 2. For example, if A, B, C, D are vertices of a parallelogram, followed in that order, then −→AB = −−→DC and −−→AD = −−→BC: Figure 3. Vectors are added according to the parallelogram law or the triangular law: Figure 4. Figure 5. 2 In figure 4, vectors u and v lying on the neighboring sides of a parallelogram are given by u = −→AB and v = −−→AD. Then their sum u + v lies on the diagonal, given by u + v = −→AC. In Figure 5, vectors u and v lying on two sides of a triangle ABC △ are given by u = −→AB and v = −−→BC. Then their sum u + v lies on the remaining side, given by u + v = −→AC. Thus we have −→AB + −−→BC = −→AC. The last identity can be generalized. Given a number of points, say A1,A2,...,An, we have −−−→A1A2 + −−−→A2A3 + + −−−−−→An−1An = −−−→A1An. ··· Figure 6. We only check this for five points, that is, for n = 5: −−−→A1A2 +−−−→A2A3 +−−−→A3A4 +−−−→A4A5 = −−−→A1A5. The quick way begins by observing that −−−→A1A2 +−−−→A2A3 = −−−→A1A3 and −−−−→A3,A4 +−−−→A4A5 = −−−→A3A5 and finishes with −−−→A1A2 + −−−→A2A3 + −−−−→A3,A4 + −−−→A4A5 = −−−→A1A3 + −−−→A3A5 = −−−→A1A5: Figure 7. 3 The ‘step by step’ way described next is slower; however, it can be easily adapted to the general case with arbitrary number of points: −−−→A1A2 + −−−→A2A3 = −−−→A1A3 −−−→A1A2 + −−−→A2A3 + −−−→A3A4 = −−−→A1A3 + −−−→A3A4 = −−−→A1A4 −−−→A1A2 + −−−→A2A3 + −−−→A3A4 + −−−→A4A5 = −−−→A1A4 + −−−→A4A5 = −−−→A1A5 The picture below gives the idea of this ‘step by step’ approach: Figure 8. The next example is crucial because it describes a general situation that frequently occurs. Example. Suppose that −→OA = u and −−→OB = v. We are asked to determine −→AB in terms of u and v. Figure 9. 4 First, we write down −→OA + −→AB = −−→OB. Hence −→AB = −−→OB −→OA = v u, − − which is the answer. The reader should consult Figure 9 and reading this answer and then keep the whole picture in mind. We denote by 0 the zero vector. It has the property that 0 + v = v and v + 0 = v. Geometrically it is represented by a point. For any point A, we have −→AA = 0. Clearly the magnitude of the zero vector is zero: 0 = 0. | | Exercise 1. Let A, B, C, D be the vertices of a parallelogram; see Figure XXX above. (a) Write −−→BD in terms of −→AB and −−→AD. (b) Write −−→BD in terms of −−→CB and −−→CD. (c) Write −−→BC in terms of −→AB and −→AC. Exercise 2. Let A, B, C, D, E, F be the vertices of a regular hexagon and let O be its center; see Figure 10 below. Let a = −→OA and b = −−→OB. Write −→OC and −→AE in terms of a and b. Figure 10. Exercise 3. Let A, B, C, D, E, F, G, H be the vertices of a cube and let u = −→AB v = −−→AD and w = −→AE; see Figure 11 below. Write −→FC −→AC and −→AG in terms of u, v and w. 5 Figure 11. Besides addition, another operations in vector algebra is scalar multiplication, that is, multiplying vectors by scalars. Recall that a scalar is just a number, such as 2. A vector v multiplied by 2, denoted by 2v is in the same direction as v but its length is doubled. (You can tell that this is the most natural way to define 2v.) What about ( 2)v? Well, you can rewrite it as 2( v), that is, v multiplied by 2. Now v is − − − − obtained by turning v in the opposite direction. Now it is clear that the magnitude of ( 2)v is doubled and its direction is opposite to v. − Figure 12. In general, given a scalar a and a vector v, the scalar multiplication av of v by a can be defined. The magnitude of av is determined by av = a v ; (for example, | | | || | 2v = 2 v = 2v and ( 2)v = 2 v = 2v ). The direction of av depends on the | | | | | | | − | | − | | | sign of a: if a is positive, then av has the same direction as v, and if a is negative, then av has the oppsite direction. Certainly, if a =0 or v = 0, then av is the zero vector. The two operations in vector algebra, namely, addition and scalar multiplication, give the so–called linear structure for a space of vectors (or simply called a vector space). The 6 theory based on the conceptual frame work of linear structure is called linear algebra, which is a basic mathematical course for almost all diciplines which need mathematics. Exercise 4. Let ∆ABC be a equilateral triangle with O as its center, and let b = −→AB and c = −→AC; see figure 13 below. Write −→AO in terms of b and c. (Hint: notice that −→OA + −−→OB + −→OC = 0. Figure 13. Problem 5. (a) Draw a picture to check the identity (u + v)=( u)+( v). (b) − − − Draw a picture to convince yourself the validity of the identity a(bfu + v)= au + av for a positive scalar a. (c) Explain why the last identity also holds for negative a. Problem 6. (a) Convince yourself that if vectors v and w are parallel and if v is nonzero, then there is a scalar a such that w = av. Why do we need to assume that v is nonzero here? (b) Let e1 and e2 be two nonzero vectors in the Euclidean plane. Assume that these two vectors are not parallel to each other. Convince yourself by drawing that any planar vector v can be written in the form a1e1 + a2e2 for some scalars a1, a2. Why the scalars are uniquely determined by v? Next we use Cartesian coordinates to study vectors. The reader is assumed to be familiar with the Cartesian coordinate system. Let us recall some of its salient features. Normally we draw the x–axis horizontally and the y–axis vertically. The intersection of these two axis is denoted by O, called the origin of the coordinates system. Both axis are scaled so that each point of the plane corresponds to a unique (ordered) pair of real numbers, called the coordinates of this point. In the Figure 14 below we depict the point P with coordinates (3, 2) so that we may write P = (3, 2). 7 Figure 14. When we have u = −→OP with P = (3, 2), we also call (3, 2) the coordinated of u and we write u = (3, 2); see Figure 14 above. But now we have a poblem: when we write (3, 2), does it mean the point P or the vector −→OP ? Isn’t there some conflict with our notation? Our answer is, whether (3, 2) should be P or should be −→OP is only our subjective opinion, that is, we can interpret it in either way. All we need is to put a word in front we indicate our choice of interpretation, such as “point (3, 2)” or “vector (3, 2)”. The importance of using coordiantes for vectors lies in the fact that the two basic vector operations, addition and scalar multiplication, are carried out in the “coordinatewise manner”: If v1 =(x1, y1) and v2 =(x2, y2), then v1 + v2 =(x1 + x2, y1 + y2) and av1 =(ax1, ay1). (Here a is any scalar.) Instead of giving a routine but pretty boring proof os this basic statement, we let you check its validity for some special cases to convince you the validity of it in the following easy exercises. Exercise 7. In each of the following cases, use graphic paper to draw the vector −→AB and check the identity −→AB = −−→OB −→OA: (a) A = (1, 2), B = (3, 5); (b) A = ( 2, 5), − − B = (3, 2); (c) A =( 1, 2), B = (1, 2); (d) A =( 3, 2), B =( 1, 4). − − − − − − Exercise 8. (a) Find the midpoint M between P ( 5, 4) and Q(9, 6). (b) If M(2, 3) − is the midpoint of P (1, 1), what is Q? Use graphic paper to check your answer in both parts. 8 Exercise 9.. Let A B and C be arbitrary points and let M be the midpoint of AB and N be the midpoint of BC. Express the vector −−→MN as a linear combination of u = −→AB and v = −−→BC.
Recommended publications
  • The Parallelogram Law Objective: to Take Students Through the Process
    The Parallelogram Law Objective: To take students through the process of discovery, making a conjecture, further exploration, and finally proof. I. Introduction: Use one of the following… • Geometer’s Sketchpad demonstration • Geogebra demonstration • The introductory handout from this lesson Using one of the introductory activities, allow students to explore and make a conjecture about the relationship between the sum of the squares of the sides of a parallelogram and the sum of the squares of the diagonals. Conjecture: The sum of the squares of the sides of a parallelogram equals the sum of the squares of the diagonals. Ask the question: Can we prove this is always true? II. Activity: Have students look at one more example. Follow the instructions on the exploration handouts, “Demonstrating the Parallelogram Law.” • Give each student a copy of the student handouts, scissors, a glue stick, and two different colored highlighters. Have students follow the instructions. When they get toward the end, they will need to cut very small pieces to fit in the uncovered space. Most likely there will be a very small amount of space left uncovered, or a small amount will extend outside the figure. • After the activity, discuss the results. Did the squares along the two diagonals fit into the squares along all four sides? Since it is unlikely that it will fit exactly, students might question if the relationship is always true. At this point, talk about how we will need to find a convincing proof. III. Go through one or more of the proofs below: Page 1 of 10 MCC@WCCUSD 02/26/13 A.
    [Show full text]
  • Ill.'Dept. of Mathemat Available in Hard Copy Due To:Copyright,Restrictions
    Docusty4 REWIRE . ED184843 E 030 460 AUTHOR Kogan, B. Yu TITLE The Application àf Me anics to Ge setry. Popullr Lectures in Mathematice. 'INSTITUTION Cbicag Univ. Ill.'Dept. of Mathemat s. SPONS AGENCY National Science Foundation, Nashington;.D.C. PUB DATE 74 GRANT NSLY-3-13847(MA) NOTE 65p.; ?or related documents, see SE 030 4-61-465. Not available in hard copy due to:copyright,restrictions. Translated and adapted from the Russian edition. 'AVAILABLE FROM The University of Chicago Press, Chicaip, IL 60637. (Order No. 450163; $4.50). EDRS PRICE MP01 Plus Postage.. PC Not Available from ED4S. DESZRIPTORS *College Mathematics; Force; Geometric Concepti; *Geometry; Higher Education; Lecture Method; *Mathematical Applications; *Mathemaiics; *Mechanics (Physics) ABBTRAiT Presented in thir traInslktion are three chapters. Chapter I discusses the compbsitivn of forces and several theoreas of geometry are proved using the'fundamental conceptsand certain laws of statics. Chapter II discusses the perpetual motion postRlate; several geometri:l.theorems are proved, uting the postulate t4t p9rp ual motion is iipossib?e. In Chapter ILI,' the Center of Gray Potential Energy, and Vork are discussed. (MK) a N'4 , * Reproductions supplied by EDRS are the best that can be madel * * from the original document. * U.S. DIEPARTMINT OP WEALTH. g.tpUCATION WILPARI - aATIONAL INSTITTLISM Oa IDUCATION THIS DOCUMENT HAS BEEN REPRO. atiCED EXACTLMAIS RECEIVED Flicw THE PERSON OR ORGANIZATION DRPOIN- ATINO IT POINTS'OF VIEW OR OPINIONS STATED DO NOT NECESSARILY WEPRE.' se NT OFFICIAL NATIONAL INSTITUTE OF EDUCATION POSITION OR POLICY 0 * "PERMISSION TO REPRODUC THIS MATERIAL IN MICROFICHE dIlLY HAS SEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)." -Mlk -1 Popular Lectures In nithematics.
    [Show full text]
  • An Elementary System of Axioms for Euclidean Geometry Based on Symmetry Principles
    An Elementary System of Axioms for Euclidean Geometry based on Symmetry Principles Boris Čulina Department of Mathematics, University of Applied Sciences Velika Gorica, Zagrebačka cesta 5, Velika Gorica, CROATIA email: [email protected] arXiv:2105.14072v1 [math.HO] 28 May 2021 1 Abstract. In this article I develop an elementary system of axioms for Euclidean geometry. On one hand, the system is based on the symmetry principles which express our a priori ignorant approach to space: all places are the same to us (the homogeneity of space), all directions are the same to us (the isotropy of space) and all units of length we use to create geometric figures are the same to us (the scale invariance of space). On the other hand, through the process of algebraic simplification, this system of axioms directly provides the Weyl’s system of axioms for Euclidean geometry. The system of axioms, together with its a priori interpretation, offers new views to philosophy and pedagogy of mathematics: (i) it supports the thesis that Euclidean geometry is a priori, (ii) it supports the thesis that in modern mathematics the Weyl’s system of axioms is dominant to the Euclid’s system because it reflects the a priori underlying symmetries, (iii) it gives a new and promising approach to learn geometry which, through the Weyl’s system of axioms, leads from the essential geometric symmetry principles of the mathematical nature directly to modern mathematics. keywords: symmetry, Euclidean geometry, axioms, Weyl’s axioms, phi- losophy of geometry, pedagogy of geometry 1 Introduction The connection of Euclidean geometry with symmetries has a long history.
    [Show full text]
  • Fundamental Theorems in Mathematics
    SOME FUNDAMENTAL THEOREMS IN MATHEMATICS OLIVER KNILL Abstract. An expository hitchhikers guide to some theorems in mathematics. Criteria for the current list of 243 theorems are whether the result can be formulated elegantly, whether it is beautiful or useful and whether it could serve as a guide [6] without leading to panic. The order is not a ranking but ordered along a time-line when things were writ- ten down. Since [556] stated “a mathematical theorem only becomes beautiful if presented as a crown jewel within a context" we try sometimes to give some context. Of course, any such list of theorems is a matter of personal preferences, taste and limitations. The num- ber of theorems is arbitrary, the initial obvious goal was 42 but that number got eventually surpassed as it is hard to stop, once started. As a compensation, there are 42 “tweetable" theorems with included proofs. More comments on the choice of the theorems is included in an epilogue. For literature on general mathematics, see [193, 189, 29, 235, 254, 619, 412, 138], for history [217, 625, 376, 73, 46, 208, 379, 365, 690, 113, 618, 79, 259, 341], for popular, beautiful or elegant things [12, 529, 201, 182, 17, 672, 673, 44, 204, 190, 245, 446, 616, 303, 201, 2, 127, 146, 128, 502, 261, 172]. For comprehensive overviews in large parts of math- ematics, [74, 165, 166, 51, 593] or predictions on developments [47]. For reflections about mathematics in general [145, 455, 45, 306, 439, 99, 561]. Encyclopedic source examples are [188, 705, 670, 102, 192, 152, 221, 191, 111, 635].
    [Show full text]
  • Ruler and Compass Constructions and Abstract Algebra
    Ruler and Compass Constructions and Abstract Algebra Introduction Around 300 BC, Euclid wrote a series of 13 books on geometry and number theory. These books are collectively called the Elements and are some of the most famous books ever written about any subject. In the Elements, Euclid described several “ruler and compass” constructions. By ruler, we mean a straightedge with no marks at all (so it does not look like the rulers with centimeters or inches that you get at the store). The ruler allows you to draw the (unique) line between two (distinct) given points. The compass allows you to draw a circle with a given point as its center and with radius equal to the distance between two given points. But there are three famous constructions that the Greeks could not perform using ruler and compass: • Doubling the cube: constructing a cube having twice the volume of a given cube. • Trisecting the angle: constructing an angle 1/3 the measure of a given angle. • Squaring the circle: constructing a square with area equal to that of a given circle. The Greeks were able to construct several regular polygons, but another famous problem was also beyond their reach: • Determine which regular polygons are constructible with ruler and compass. These famous problems were open (unsolved) for 2000 years! Thanks to the modern tools of abstract algebra, we now know the solutions: • It is impossible to double the cube, trisect the angle, or square the circle using only ruler (straightedge) and compass. • We also know precisely which regular polygons can be constructed and which ones cannot.
    [Show full text]
  • Newton's Laws , and to Understand the Significance of These Laws
    2 INTRODUCTION Learning Objectives 1). To introduce and define the subject of mechanics . 2). To introduce Newton's Laws , and to understand the significance of these laws. 3). The review modeling, dimensional consistency , unit conversions and numerical accuracy issues. 4). To review basic vector algebra (i.e., vector addition and subtraction and scalar multiplication). 3 Definitions Mechanics : Study of forces acting on a rigid body a) Statics - body remains at rest b) Dynamics - body moves Newton's Laws First Law : Given no net force , a body at rest will remain at rest and a body moving at a constant velocity will continue to do so along a straight path F0,0, M 0 . Second Law : Given a net force is applied, a body will experience an acceleration in the direction of the force which is proportional to the net applied force F ma . Third Law : For each action there is an equal and opposite reaction FAB F BA . 4 Models of Physical Systems Develop a model that is representative of a physical system Particle : a body of infinitely small dimensions (conceptually, a point). Rigid Body : a body occupying more than one point in space in which all the points remain a fixed distance apart. Deformable Body : a body occupying more that one point in space in which the points do not remain a fixed distance apart. Dimensional Consistency If you add together two quantities, x CvC1 v CaC 2 a these quantities need to have the same dimensions (units); e.g., 2 if x, v and a have units of (L), (L/T) and (L/T ), then C 1 and C 2 must have units of (T) and T 2 to maintain dimensional consistency.
    [Show full text]
  • 3 Analytic Geometry
    3 Analytic Geometry 3.1 The Cartesian Co-ordinate System Pure Euclidean geometry in the style of Euclid and Hilbert is what we call synthetic: axiomatic, with- out co-ordinates or explicit formulæ for length, area, volume, etc. Nowadays, the practice of ele- mentary geometry is almost entirely analytic: reliant on algebra, co-ordinates, vectors, etc. The major breakthrough came courtesy of Rene´ Descartes (1596–1650) and Pierre de Fermat (1601/16071–1655), whose introduction of an axis, a fixed reference ruler against which objects could be measured using co-ordinates, allowed them to apply the Islamic invention of algebra to geometry, resulting in more efficient computations. The new geometry was revolutionary, so much so that Descartes felt the need to justify his argu- ments using synthetic geometry, lest no-one believe his work! This attitude persisted for some time: when Issac Newton published his groundbreaking Principia in 1687, his presentation was largely syn- thetic, even though he had used co-ordinates in his derivations. Synthetic geometry is not without its benefits—many results are much cleaner, and analytic geometry presents its own logical difficulties— but, as time has passed, its study has become something of a fringe activity: co-ordinates are simply too useful to ignore! Given that Cartesian geometry is the primary form we learn in grade-school, we merely sketch the familiar ideas of co-ordinates and vectors. • Assume everything necessary about on the real line. continuity y 3 • Perpendicular axes meet at the origin. P 2 • The Cartesian co-ordinates of a point P are measured by project- ing onto the axes: in the picture, P has co-ordinates (1, 2), often 1 written simply as P = (1, 2).
    [Show full text]
  • Complex Numbers and Geometry
    AMS / MAA TEXTBOOKS VOL 52 Complex Numbers and Geometry Liang-shin Hahn 10.1090/text/052 Complex Numbers and Geometry SPECTRUM SERIES The Spectrum Series of the Mathematical Association of America was so named to reflectits purpose: to publish a broad range of books including biographies, accessible expositions of old or new mathematical ideas, reprints and revisions of excellent out-of-print books, popular works, and other monographs of high interest that will appeal to a broad range of readers, including students and teachers of mathematics, mathematical amateurs, and researchers. Committee on Publications JAMES W. DANIEL, Chairman Spectrum Editorial Board ROGER HORN, Chairman BART BRADEN RICHARD GUY UNDERWOOD DUDLEY JEANNE LADUKE HUGH M. EDGAR LESTER H. LANGE BONNIE GOLD MARY PARKER All the Math That's Fit to Print, by Keith Devlin Circles: A Mathematical View, by Dan Pedoe Complex Numbers and Geometry, by Liang-shin Hahn Cryptology, by Albrecht Beutelspacher Five Hundred Mathematical Challenges, Edward J. Barbeau, Murray S. Klamkin, and William 0. J. Moser From Zero to Infinity, by Constance Reid I Want to be a Mathematician, by Paul R. Halmos Journey into Geometries, by Marta Sved The Last Problem, by E.T. Bell (revised and updated by Underwood Dudley) The Lighter Side of Mathematics: Proceedings ofthe Eugene Strens Memorial Conference on Recreational Mathematics & its History, edited by Richard K. Guy and Robert E. Woodrow Lure of the Integers, by Joe Roberts Mathematical Carnival, by Martin Gardner Mathematical Circus, by Martin Gardner Mathematical Cranks, by Underwood Dudley Mathematical Magic Show, by Martin Gardner Mathematics: Queen and Servant of Science, by E.T.
    [Show full text]
  • Chapter 1 Euclidean Space
    Euclidean space 1 Chapter 1 Euclidean space A. The basic vector space We shall denote by R the ¯eld of real numbers. Then we shall use the Cartesian product Rn = R £ R £ ::: £ R of ordered n-tuples of real numbers (n factors). Typical notation for x 2 Rn will be x = (x1; x2; : : : ; xn): Here x is called a point or a vector, and x1, x2; : : : ; xn are called the coordinates of x. The natural number n is called the dimension of the space. Often when speaking about Rn and its vectors, real numbers are called scalars. Special notations: R1 x 2 R x = (x1; x2) or p = (x; y) 3 R x = (x1; x2; x3) or p = (x; y; z): We like to draw pictures when n = 1, 2, 3; e.g. the point (¡1; 3; 2) might be depicted as 2 Chapter 1 We de¯ne algebraic operations as follows: for x, y 2 Rn and a 2 R, x + y = (x1 + y1; x2 + y2; : : : ; xn + yn); ax = (ax1; ax2; : : : ; axn); ¡x = (¡1)x = (¡x1; ¡x2;:::; ¡xn); x ¡ y = x + (¡y) = (x1 ¡ y1; x2 ¡ y2; : : : ; xn ¡ yn): We also de¯ne the origin (a/k/a the point zero) 0 = (0; 0;:::; 0): (Notice that 0 on the left side is a vector, though we use the same notation as for the scalar 0.) Then we have the easy facts: x + y = y + x; (x + y) + z = x + (y + z); 0 + x = x; in other words all the x ¡ x = 0; \usual" algebraic rules 1x = x; are valid if they make (ab)x = a(bx); sense a(x + y) = ax + ay; (a + b)x = ax + bx; 0x = 0; a0 = 0: Schematic pictures can be very helpful.
    [Show full text]
  • Addition of Vectors 296 Additive Inverse 297 Adjacent Angles 18 D
    Index A of square 83 of trapezoid 89 Addition of vectors 296 of triangle 86 Additive inverse 297 Area under dilation 220, 272 Adjacent angles 18 Area under shearing 267 d'Alembert 117 ASA 181, 381 Alternate angles 49 Associativity 297 Altitude 86 Axioms 3, 31 Angle bisector 18, 25, 196 Axis 65 Angle of incidence 63 Angle of polygon 166 Angle of reflection 62 B Angles 13 adjacent 18 Ball 281 alternate 49 Band 223, 231 central 148 Base angles 140 inscribed 170 Base of cylinder 263 opposite 28, 30, 58 Base of trapezoid 89 parallel 49 Base of triangle 86 polygon 166, 168 Bisector 18, 107, 124 right 16 Blow up 212 straight 15 Boxes 261 vertical 28 Angles of triangle 50 c Apollonius theorem 154 Arc 14, 148 Cancellation law 308 Area 81 Central angle 148 of circle 221 Chord 132 of parallelogram 193 Circle 10, 119, 128, 148, 158, 235, 290 of rectangle 83 Circumference 11, 235, 290 of right triangle 84 Circumscribed 128 of sector 224-230 Collinear 4 of sphere 292 Commutativity 296 392 INDEX Component 311, 317 F Composition of isometries 369-372 Concentric circles 158 Feynman 188, 351 Conclusion 13 Fixed point 385 Cone 274, 275 Forty-five degree triangle 200 Congruence 178, 377 Frustrum 281 Congruent triangles 178, 381 Full angle 16 Construction of triangle 6 Contradiction 38 Converse 13 G Convex polygon 165 Coordinate 67, 115, 117 Graph 73 Corollary 141 Cylinder 263 H Half line 2 D Height 86, 89, 263, 274, 275 Hexagon 163 d'Alembert 117 Higher dimensional space 114 Degree 16 Hypotenuse 46 Diagonal 48, 167, 196 Hypothesis 13 Diameter of circle 154,
    [Show full text]
  • Engineering Mechanics (Bme-01) Unit-I
    Madan Mohan Malaviya Univ. of Technology, Gorakhpur ENGINEERING MECHANICS (BME-01) UNIT-I Dheerandra Singh Assistant Professor, MED Madan Mohan Malviya University of Technology Gorakhpur (UP State Govt. University) Email: [email protected] 11-01-2021 Side 1 Madan Mohan Malaviya Univ. of Technology, Gorakhpur Engineering Mechanics • Mechanics is a branch of the physical sciences that is concerned with the state of rest or motion of bodies that are subjected to the action of forces. • The principles of mechanics are central to research and development in the fields of vibrations, stability and strength of structures and machines, robotics, rocket and spacecraft design, engine performance, fluid flow, electrical machines. • The earliest recorded writings in mechanics are those of Archimedes (287– 212 B.C.) on the principle of the lever and the principle of buoyancy. • Laws of vector combination of forces and principles of statics were discovered by Stevinus (1548–1620). • The first investigation of a dynamics problem is credited to Galileo (1564– 1642) for his experiments with falling stones. • The accurate formulation of the laws of motion, as well as the law of gravitation, was made by Newton (1642–1727). 11-01-2021 Side 2 Madan Mohan Malaviya Univ. of Technology, Gorakhpur Classification of Engineering Mechanics Engineering Mechanics Solid Mechanics Fluid Mechanics Deformable body Rigid body Statics Dynamics Statics Dynamics Kinematics Kinetics 11-01-2021 Side 3 Madan Mohan Malaviya Univ. of Technology, Gorakhpur • Solid mechanics deals with the study of solids at rest or in motion. • Fluid mechanics deals with the study of liquids and gases at rest or in motion.
    [Show full text]
  • CHAPTER 9 Inner Product Spaces and Hilbert Spaces Prof. M. Saha
    CHAPTER 9 Inner Product Spaces and Hilbert Spaces BY Prof. M. Saha Professor of Mathematics The University of Burdwan West Bengal, India E-mail : [email protected] Chapter 9 Inner Product Spaces and Hilbert Spaces Introduction and Objectives In the preceding chapters, we discussed normed linear spaces and Banach spaces. These spaces has linear properties as well as metric properties. Although the norm on a linear space generalizes the elementary concept of the length of a vector, but the main geometric concept other than the length of a vector is the angle between two vectors, In this chapter, we take the opportunity to study linear spaces having an inner product, a generalization of the usual dot product on finite dimensional linear spaces. The concept of an inner product in a linear space leads to an inner product space and a complete inner product space which is called a Hilbert space. The theory of Hilbert Spaces does not deal with angles in general. Most interestingly, it helps us to introduce an idea of perpendicularity for two vectors and the geometry deals in various fundamental aspects with Euclidean geometry. The basics of the theory of Hilbert spaces was given by in 1912 by the work of German mathematician D. Hilbert (1862 -1943) on integral equations. However, an axiomatic basis of the theory was given by famous mathematician J. Von Neumann (1903 -1957). However, Hilbert spaces are the simplest type of infinite dimensional Banach spaces to tackle a remarkable role in functional analysis. This chapter is divided into four modules. Module 1 ideals with the introduction of inner product spaces and Hilbert spaces with some examples.
    [Show full text]