Geometry for Middle School Teachers Companion Problems for the Connected Mathematics Curriculum
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3 Polygons in Architectural Design
ARTS IMPACT LESSON PLAN Vis ual Arts and Math Infused Lesson Lesson Three: Polygons in Architectural Design Author: Meredith Essex Grade Level: Fifth Enduring Understanding Polygons are classified according to properties and can be combined in architectural designs. Lesson Description (Use for family communication and displaying student art) Students praCtiCe drawing a variety of geometriC figures using math/arChitectural drawing tools. Students then observe, name, and Classify polygons seen in urban photos and arChitectural plans. Students design a bridge, tower, or building combining three different kinds of triangles and three different kinds of quadrilaterals. Pencil drawings are traced in pen, and arChiteCtural details/ patterns are added. Last, students reflect on and Classify 2-dimensional figures seen in their arChiteCtural designs. Learning Targets and Assessment Criteria Target: Classifies 2-dimensional figures. Criteria: Identifies and desCribes polygon figures, and properties of their sides, and angles seen in art. Target: Combines polygons in an arChiteCtural design. Criteria: Designs a structure made of straight sided shapes that include three kinds of triangles and three kinds of quadrilaterals. Target: Refines design. Criteria: TraCes over drawing in pen, adds arChiteCtural details and patterns. Target: Uses Craftsmanship. Criteria: Uses grid, rulers, and templates in drawing design. Vocabulary Materials Learning Standards Arts Infused: Museum Artworks or Performance: WA Arts State Grade Level Expectations GeometriC shape -
USA Mathematical Talent Search Solutions to Problem 2/3/16
USA Mathematical Talent Search Solutions to Problem 2/3/16 www.usamts.org 2/3/16. Find three isosceles triangles, no two of which are congruent, with integer sides, such that each triangle’s area is numerically equal to 6 times its perimeter. Credit This is a slight modification of a problem provided by Suresh T. Thakar of India. The original problem asked for five isosceles triangles with integer sides such that the area is numerically 12 times the perimeter. Comments Many students simply set up an equation using Heron’s formula and then turned to a calculator or a computer for a solution. Below are presented more elegant solutions. Zachary Abel shows how to reduce this problem to finding Pythagorean triples which have 12 among the side lengths. Adam Hesterberg gives us a solution using Heron’s Create PDF with GO2PDFformula. for free, if Finally,you wish to remove Kristin this line, click Cordwell here to buy Virtual shows PDF Printer how to take an intelligent trial-and-error approach to construct the solutions. Solutions edited by Richard Rusczyk. Solution 1 by: Zachary Abel (11/TX) In 4ABC with AB = AC, we use the common notations r = inradius, s = semiperimeter, p = perimeter, K = area, a = BC, and b = AC. The diagram shows triangle ABC with its incircle centered at I and tangent to BC and AC at M and N respectively. A x h N 12 I a/2 12 B M a/2 C The area of the triangle is given by rs = K = 6p = 12s, which implies r = 12. -
Areas of Polygons and Circles
Chapter 8 Areas of Polygons and Circles Copyright © Cengage Learning. All rights reserved. Perimeter and Area of 8.2 Polygons Copyright © Cengage Learning. All rights reserved. Perimeter and Area of Polygons Definition The perimeter of a polygon is the sum of the lengths of all sides of the polygon. Table 8.1 summarizes perimeter formulas for types of triangles. 3 Perimeter and Area of Polygons Table 8.2 summarizes formulas for the perimeters of selected types of quadrilaterals. However, it is more important to understand the concept of perimeter than to memorize formulas. 4 Example 1 Find the perimeter of ABC shown in Figure 8.17 if: a) AB = 5 in., AC = 6 in., and BC = 7 in. b) AD = 8 cm, BC = 6 cm, and Solution: a) PABC = AB + AC + BC Figure 8.17 = 5 + 6 + 7 = 18 in. 5 Example 1 – Solution cont’d b) With , ABC is isosceles. Then is the bisector of If BC = 6, it follows that DC = 3. Using the Pythagorean Theorem, we have 2 2 2 (AD) + (DC) = (AC) 2 2 2 8 + 3 = (AC) 6 Example 1 – Solution cont’d 64 + 9 = (AC)2 AC = Now Note: Because x + x = 2x, we have 7 HERON’S FORMULA 8 Heron’s Formula If the lengths of the sides of a triangle are known, the formula generally used to calculate the area is Heron’s Formula. One of the numbers found in this formula is the semiperimeter of a triangle, which is defined as one-half the perimeter. For the triangle that has sides of lengths a, b, and c, the semiperimeter is s = (a + b + c). -
Figures Circumscribing Circles Tom M
Figures Circumscribing Circles Tom M. Apostol and Mamikon A. Mnatsakanian 1. INTRODUCTION. The centroid of the boundary of an arbitrarytriangle need not be at the same point as the centroid of its interior. But we have discovered that the two centroids are always collinear with the center of the inscribed circle, at distances in the ratio 3 : 2 from the center. We thought this charming fact must surely be known, but could find no mention of it in the literature. This paper generalizes this elegant and surprising result to any polygon that circumscribes a circle (Theorem 6). A key ingredient of the proof is a link to Archimedes' striking discovery concerning the area of a circular disk [4, p. 91], which for our purposes we prefer to state as follows: Theorem 1 (Archimedes). The area of a circular disk is equal to the product of its semiperimeter and its radius. Expressed as a formula, this becomes A = Pr, (1) where A is the area, P is the perimeter, and r is the radius of the disk. First we extend (1) to a large class of plane figures circumscribing a circle that we call circumgons, defined in section 2. They include arbitrarytriangles, all regular polygons, some irregularpolygons, and other figures composed of line segments and circular arcs. Examples are shown in Figures 1 through 4. Section 3 treats circum- gonal rings, plane regions lying between two similar circumgons. These rings have a constant width that replaces the radius in the corresponding extension of (1). We also show that all rings of constant width are necessarily circumgonal rings. -
Stml043-Endmatter.Pdf
http://dx.doi.org/10.1090/stml/043 STUDENT MATHEMATICAL LIBRARY Volume 43 Elementary Geometry Ilka Agricola Thomas Friedric h Translated by Philip G . Spain #AM^S^fcj S AMERICAN MATHEMATICA L SOCIET Y Providence, Rhode Islan d Editorial Boar d Gerald B . Follan d Bra d G . Osgoo d Robin Forma n (Chair ) Michae l Starbir d 2000 Mathematics Subject Classification. Primar y 51M04 , 51M09 , 51M15 . Originally publishe d i n Germa n b y Friedr . Viewe g & Sohn Verlag , 65189 Wiesbaden, Germany , a s "Ilk a Agricol a un d Thoma s Friedrich : Elementargeometrie. 1 . Auflag e (1s t edition)" . © Friedr . Viewe g & Sohn Verlag/GW V Fachverlag e GmbH , Wiesbaden , 2005 Translated b y Phili p G . Spai n For additiona l informatio n an d update s o n thi s book , visi t www.ams.org/bookpages/stml-43 Library o f Congress Cataloging-in-Publicatio n Dat a Agricola, Ilka , 1973- [Elementargeometrie. English ] Elementary geometr y / Ilk a Agricola , Thoma s Friedrich . p. cm . — (Student mathematica l librar y ; v. 43) Includes bibliographica l reference s an d index. ISBN-13 : 978-0-8218-4347- 5 (alk . paper ) ISBN-10 : 0-8218-4347- 8 (alk . paper ) 1. Geometry. I . Friedrich, Thomas , 1949 - II . Title. QA453.A37 200 7 516—dc22 200706084 4 Copying an d reprinting. Individua l reader s o f this publication , an d nonprofi t libraries actin g fo r them, ar e permitted t o mak e fai r us e of the material, suc h a s to copy a chapter fo r us e in teaching o r research. -
GPU Rasterization for Real-Time Spatial Aggregation Over Arbitrary Polygons
GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons Eleni Tzirita Zacharatou∗‡, Harish Doraiswamy∗†, Anastasia Ailamakiz, Claudio´ T. Silvay, Juliana Freirey z Ecole´ Polytechnique Fed´ erale´ de Lausanne y New York University feleni.tziritazacharatou, anastasia.ailamakig@epfl.ch fharishd, csilva, [email protected] ABSTRACT Not surprisingly, the problem of providing efficient support for Visual exploration of spatial data relies heavily on spatial aggre- visualization tools and interactive queries over large data has at- gation queries that slice and summarize the data over different re- tracted substantial attention recently, predominantly for relational gions. These queries comprise computationally-intensive point-in- data [1, 6, 27, 30, 31, 33, 35, 56, 66]. While methods have also been polygon tests that associate data points to polygonal regions, chal- proposed for speeding up selection queries over spatio-temporal lenging the responsiveness of visualization tools. This challenge is data [17, 70], these do not support interactive rates for aggregate compounded by the sheer amounts of data, requiring a large num- queries, that slice and summarize the data in different ways, as re- ber of such tests to be performed. Traditional pre-aggregation ap- quired by visual analytics systems [4, 20, 44, 51, 58, 67]. proaches are unsuitable in this setting since they fix the query con- Motivating Application: Visual Exploration of Urban Data Sets. straints and support only rectangular regions. On the other hand, In an effort to enable urban planners and architects to make data- query constraints are defined interactively in visual analytics sys- driven decisions, we developed Urbane, a visualization framework tems, and polygons can be of arbitrary shapes. -
Representing Whole Slide Cancer Image Features with Hilbert Curves Authors
Representing Whole Slide Cancer Image Features with Hilbert Curves Authors: Erich Bremer, Jonas Almeida, and Joel Saltz Erich Bremer (corresponding author) [email protected] Stony Brook University Biomedical Informatics Jonas Almeida [email protected] National Cancer Institute Division of Cancer Epidemiology & Genetics Joel Saltz [email protected] Stony Brook University Biomedical Informatics Abstract Regions of Interest (ROI) contain morphological features in pathology whole slide images (WSI) are [1] delimited with polygons . These polygons are often represented in either a textual notation (with the array of edges) or in a binary mask form. Textual notations have an advantage of human readability and portability, whereas, binary mask representations are more useful as the input and output of feature-extraction pipelines that employ deep learning methodologies. For any given whole slide image, more than a million cellular features can be segmented generating a corresponding number of polygons. The corpus of these segmentations for all processed whole slide images creates various challenges for filtering specific areas of data for use in interactive real-time and multi-scale displays and analysis. Simple range queries of image locations do not scale and, instead, spatial indexing schemes are required. In this paper we propose using Hilbert Curves simultaneously for spatial indexing and as a polygonal ROI [2] representation. This is achieved by using a series of Hilbert Curves creating an efficient and inherently spatially-indexed machine-usable form. The distinctive property of Hilbert curves that enables both mask and polygon delimitation of ROIs is that the elements of the vector extracted ro describe morphological features maintain their relative positions for different scales of the same image. -
Cyclic Quadrilaterals
GI_PAGES19-42 3/13/03 7:02 PM Page 1 Cyclic Quadrilaterals Definition: Cyclic quadrilateral—a quadrilateral inscribed in a circle (Figure 1). Construct and Investigate: 1. Construct a circle on the Voyage™ 200 with Cabri screen, and label its center O. Using the Polygon tool, construct quadrilateral ABCD where A, B, C, and D are on circle O. By the definition given Figure 1 above, ABCD is a cyclic quadrilateral (Figure 1). Cyclic quadrilaterals have many interesting and surprising properties. Use the Voyage 200 with Cabri tools to investigate the properties of cyclic quadrilateral ABCD. See whether you can discover several relationships that appear to be true regardless of the size of the circle or the location of A, B, C, and D on the circle. 2. Measure the lengths of the sides and diagonals of quadrilateral ABCD. See whether you can discover a relationship that is always true of these six measurements for all cyclic quadrilaterals. This relationship has been known for 1800 years and is called Ptolemy’s Theorem after Alexandrian mathematician Claudius Ptolemaeus (A.D. 85 to 165). 3. Determine which quadrilaterals from the quadrilateral hierarchy can be cyclic quadrilaterals (Figure 2). 4. Over 1300 years ago, the Hindu mathematician Brahmagupta discovered that the area of a cyclic Figure 2 quadrilateral can be determined by the formula: A = (s – a)(s – b)(s – c)(s – d) where a, b, c, and d are the lengths of the sides of the a + b + c + d quadrilateral and s is the semiperimeter given by s = 2 . Using cyclic quadrilaterals, verify these relationships. -
Heron's Formula for Triangular Area Heron of Alexandria
Heron’s Formula for Triangular Area by Christy Williams, Crystal Holcomb, and Kayla Gifford Heron of Alexandria n Physicist, mathematician, and engineer n Taught at the museum in Alexandria n Interests were more practical (mechanics, engineering, measurement) than theoretical n He is placed somewhere around 75 A.D. (±150) 1 Heron’s Works n Automata n Catoptrica n Mechanica n Belopoecia n Dioptra n Geometrica n Metrica n Stereometrica n Pneumatica n Mensurae n Cheirobalistra The Aeolipile Heron’s Aeolipile was the first recorded steam engine. It was taken as being a toy but could have possibly caused an industrial revolution 2000 years before the original. 2 Metrica n Mathematicians knew of its existence for years but no traces of it existed n In 1894 mathematical historian Paul Tannery found a fragment of it in a 13th century Parisian manuscript n In 1896 R. Schöne found the complete manuscript in Constantinople. n Proposition I.8 of Metrica gives the proof of his formula for the area of a triangle How is Heron’s formula helpful? How would you find the area of the given triangle using the most common area formula? 1 A = 2 bh 25 17 Since no height is given, it becomes quite difficult… 26 3 Heron’s Formula Heron’s formula allows us to find the area of a triangle when only the lengths of the three sides are given. His formula states: K = s(s - a)(s - b)(s - c) Where a, b, and c, are the lengths of the sides and s is the semiperimeter of the triangle. -
A Tour De Force in Geometry
A Tour de Force in Geometry Thomas Mildorf January 4, 2006 We are alone in a desert, pursued by a hungry lion. The only tool we have is a spherical, adamantine cage. We enter the cage and lock it, securely. Next we perform an inversion with respect to the cage. The lion is now in the cage and we are outside. In this lecture we try to capture some geometric intuition. To this end, the ¯rst section is a brief outline (by no means complete) of famous results in geometry. In the second, we motivate some of their applications. 1 Factoids First, we review the canonical notation. Let ABC be a triangle and let a = BC; b = CA; c = AB. K denotes the area of ABC, while r and R are the inradius and circumradius of ABC respectively. G, H, I, and O are the centroid, orthocenter, incenter, and circumcenter of ABC respectively. Write rA; rB; rC for the respective radii of the excircles opposite A; B, and C, and let s = (a + b + c)=2 be the semiperimeter of ABC. 1. Law of Sines: a b c = = = 2R sin(A) sin(B) sin(C) 2. Law of Cosines: a2 + b2 ¡ c2 c2 = a2 + b2 ¡ 2ab cos(C) or cos(C) = 2ab 3. Area (ha height from A): 1 1 1 1 K = ah = ab sin(C) = ca sin(B) = ab sin(C) 2 a 2 2 2 = 2R2 sin(A) sin(B) sin(C) abc = 4R = rs = (s ¡ a)rA = (s ¡ b)rB = (s ¡ c)rC 1 p 1p = s(s ¡ a)(s ¡ b)(s ¡ c) = 2(a2b2 + b2c2 + c2a2) ¡ (a4 + b4 + c4) p 4 = rrArBrC 4. -
Six Mathematical Gems from the History of Distance Geometry
Six mathematical gems from the history of Distance Geometry Leo Liberti1, Carlile Lavor2 1 CNRS LIX, Ecole´ Polytechnique, F-91128 Palaiseau, France Email:[email protected] 2 IMECC, University of Campinas, 13081-970, Campinas-SP, Brazil Email:[email protected] February 28, 2015 Abstract This is a partial account of the fascinating history of Distance Geometry. We make no claim to completeness, but we do promise a dazzling display of beautiful, elementary mathematics. We prove Heron’s formula, Cauchy’s theorem on the rigidity of polyhedra, Cayley’s generalization of Heron’s formula to higher dimensions, Menger’s characterization of abstract semi-metric spaces, a result of G¨odel on metric spaces on the sphere, and Schoenberg’s equivalence of distance and positive semidefinite matrices, which is at the basis of Multidimensional Scaling. Keywords: Euler’s conjecture, Cayley-Menger determinants, Multidimensional scaling, Euclidean Distance Matrix 1 Introduction Distance Geometry (DG) is the study of geometry with the basic entity being distance (instead of lines, planes, circles, polyhedra, conics, surfaces and varieties). As did much of Mathematics, it all began with the Greeks: specifically Heron, or Hero, of Alexandria, sometime between 150BC and 250AD, who showed how to compute the area of a triangle given its side lengths [36]. After a hiatus of almost two thousand years, we reach Arthur Cayley’s: the first paper of volume I of his Collected Papers, dated 1841, is about the relationships between the distances of five points in space [7]. The gist of what he showed is that a tetrahedron can only exist in a plane if it is flat (in fact, he discussed the situation in one more dimension). -
Efficient Clipping of Arbitrary Polygons
Efficient clipping of arbitrary polygons Günther Greiner Kai Hormann · Abstract Citation Info Clipping 2D polygons is one of the basic routines in computer graphics. In rendering Journal complex 3D images it has to be done several thousand times. Efficient algorithms are ACM Transactions on Graphics therefore very important. We present such an efficient algorithm for clipping arbitrary Volume 2D polygons. The algorithm can handle arbitrary closed polygons, specifically where 17(2), April 1998 the clip and subject polygons may self-intersect. The algorithm is simple and faster Pages than Vatti’s algorithm [11], which was designed for the general case as well. Simple 71–83 modifications allow determination of union and set-theoretic difference of two arbitrary polygons. 1 Introduction Clipping 2D polygons is a fundamental operation in image synthesis. For example, it can be used to render 3D images through hidden surface removal [10], or to distribute the objects of a scene to appropriate processors in a multiprocessor ray tracing system. Several very efficient algorithms are available for special cases: Sutherland and Hodgeman’s algorithm [10] is limited to convex clip polygons. That of Liang and Barsky [5] require that the clip polygon be rectangular. More general algorithms were presented in [1, 6, 8, 9, 13]. They allow concave polygons with holes, but they do not permit self-intersections, which may occur, e.g., by projecting warped quadrilaterals into the plane. For the general case of arbitrary polygons (i.e., neither the clip nor the subject polygon is convex, both polygons may have self-intersections), little is known. To our knowledge, only the Weiler algorithm [12] and Vatti’s algorithm [11] can handle the general case in reasonable time.