Book contents
- Frontmatter
- Note to the Reader
- Preface
- Contents
- 1 Transformations and their Iteration
- 2 Arithmetic and Geometric Means
- 3 Isoperimetric Inequality for Triangles
- 4 Isoperimetric Quotient
- 5 Colored Marbles
- 6 Candy for School Children
- 7 Sugar Rather Than Candy
- 8 Checkers on a Circle
- 9 Decreasing Sets of Positive Integers
- 10 Matrix Manipulations
- 11 Nested Triangles
- 12 Morley's Theorem and Napoleon's Theorem
- 13 Complex Numbers in Geometry
- 14 Birth of an IMO Problem
- 15 Barycentric Coordinates
- 16 Douglas-Neumann Theorem
- 17 Lagrange Interpolation
- 18 The Isoperimetric Problem
- 19 Formulas for Iterates
- 20 Convergent Orbits
- 21 Finding Roots by Iteration
- 22 Chebyshev Polynomials
- 23 Sharkovskii's Theorem
- 24 Variation Diminishing Matrices
- 25 Approximation by Bernstein Polynomials
- 26 Properties of Bernstein Polynomials
- 27 Bézier Curves
- 28 Cubic Interpolatory Splines
- 29 Moving Averages
- 30 Approximation of Surfaces
- 31 Properties of Triangular Patches
- 32 Convexity of Patches
- Appendix A Approximation
- Appendix B Limits and Continuity
- Appendix C Convexity
- Bibliography
- Hints and Solutions
- Index
1 - Transformations and their Iteration
- Frontmatter
- Note to the Reader
- Preface
- Contents
- 1 Transformations and their Iteration
- 2 Arithmetic and Geometric Means
- 3 Isoperimetric Inequality for Triangles
- 4 Isoperimetric Quotient
- 5 Colored Marbles
- 6 Candy for School Children
- 7 Sugar Rather Than Candy
- 8 Checkers on a Circle
- 9 Decreasing Sets of Positive Integers
- 10 Matrix Manipulations
- 11 Nested Triangles
- 12 Morley's Theorem and Napoleon's Theorem
- 13 Complex Numbers in Geometry
- 14 Birth of an IMO Problem
- 15 Barycentric Coordinates
- 16 Douglas-Neumann Theorem
- 17 Lagrange Interpolation
- 18 The Isoperimetric Problem
- 19 Formulas for Iterates
- 20 Convergent Orbits
- 21 Finding Roots by Iteration
- 22 Chebyshev Polynomials
- 23 Sharkovskii's Theorem
- 24 Variation Diminishing Matrices
- 25 Approximation by Bernstein Polynomials
- 26 Properties of Bernstein Polynomials
- 27 Bézier Curves
- 28 Cubic Interpolatory Splines
- 29 Moving Averages
- 30 Approximation of Surfaces
- 31 Properties of Triangular Patches
- 32 Convexity of Patches
- Appendix A Approximation
- Appendix B Limits and Continuity
- Appendix C Convexity
- Bibliography
- Hints and Solutions
- Index
Summary
The concept of transformation is of fundamental importance in mathematics. Examples of transformations occur even in elementary mathematics. Functions discussed in high school text books can be regarded as transformations. For example, the quadratic polynomial f(x) = 2x2 - 3x + 1 represents a transformation which carries each real number x into 2x2 - 3x + 1, the latter being called the image of x under the transformation. Thus 6, 1, and 0 are the images of -1, 0, and 1, respectively. The trigonometric functions f(x) = sin x and f(x) = cos x can be regarded as transformations defined on the real axis. The logarithm function f(x) = log x is a transformation defined on the set of all positive numbers. We need to define “transformation” precisely.
Let M and S be two arbitrary sets. Suppose that a certain rule, f, associates with each element x in M a unique element y in S. Most commonly the rule is a formula for computing y from x, but y could also be obtained from x by an algorithm, a table or the observation of some quantity in the real world. The “rule” f is called a transformation from M to S, denoted by f : M → S. Furthermore we write y = f(x), and y is called the image of x under the transformation f. The terms map or function can also be used instead of transformation.
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- Information
- Over and Over Again , pp. 1 - 6Publisher: Mathematical Association of AmericaPrint publication year: 1997