Problem 24E In Exercises 21–24, a, b, and c are noncollinear points in R2 and p is any other point in R2. Let denote the closed triangular region determined by a, b, and c, and let be the region determined by p, b, and c. For convenience, assume that a, b, and c are arranged so that det is positive, where and are the standard homogeneous forms for the points. Take q on the line segment from b to c and consider the line through q and a, which may be written as for all real x. Show that, for each From this and earlier work, conclude that the parameter x is the first barycentric coordinate of p. However, by construction, the parameter x also determines the relative distance between p and q along the segment from q to a. When this fact is applied to Example 5, it shows that the colors at vertex a and the point q are smoothly interpolated as p moves along the line between a and q.
Read moreTable of Contents
1.SE
1.1
Systems of Linear Equations
1.10
Systems of Linear Equations
1.2
Row Reduction and Echelon Forms
1.3
Vector Equations
1.4
The Matrix Equation
1.5
Solution Sets of Linear Systems
1.6
Applications of Linear Systems
1.7
Linear Independence
1.8
Introduction to Linear Transformations
1.9
The Matrix of a Linear Transformation
2.SE
2.1
Matrix Operations
2.2
The Inverse of a Matrix
2.3
Characterizations of Invertible Matrices
2.4
Partitioned Matrices
2.5
Matrix Factorizations
2.6
The Leontief Input–Output Model
2.7
Applications to Computer Graphics
2.8
Subspaces of Rn
2.9
Dimension and Rank
3.SE
3.1
Introduction to Determinants
3.2
Properties of Determinants
3.3
Cramer’s Rule, Volume, and Linear Transformations
4.SE
4.1
Vector Spaces and Subspaces
4.2
Null Spaces, Column Spaces, and Linear Transformations
4.3
Linearly Independent Sets; Bases
4.4
Coordinate Systems
4.5
The Dimension of a Vector Space
4.6
Rank
4.7
Change of Basis
4.8
Applications to Difference Equations
4.9
Applications to Markov Chains
5.SE
5.1
Eigenvectors and Eigenvalues
5.2
The Characteristic Equation
5.3
Diagonalization
5.4
Eigenvectors and Linear Transformations
5.5
Complex Eigenvalues
5.6
Discrete Dynamical Systems
5.7
Applications to Differential Equations
5.8
Iterative Estimates for Eigenvalues
6.SE
6.1
Inner Product, Length, and Orthogonality
6.2
Orthogonal Sets
6.3
Orthogonal Projections
6.4
The Gram–Schmidt Process
6.5
Least-Squares Problems
6.6
Applications to Linear Models
6.7
Inner Product Spaces
6.8
Applications of Inner Product Spaces
7.SE
7.1
Diagonalization of Symmetric Matrices
7.2
Quadratic Forms
7.3
Constrained Optimization
7.4
The Singular Value Decomposition
7.5
Applications to Image Processing and Statistics
8.1
Affine Combinations
8.2
Affine Independence
8.3
Convex Combinations
8.4
Hyperplane
8.5
Polytopes
8.6
Curves and Surfaces
Textbook Solutions for Linear Algebra and Its Applications
Chapter 8.2 Problem 20E
Question
Suppose {p1, p2, p3} is an affinely independent set in Rn and q is an arbitrary point in Rn. Show that the translated set {p1 + q, p2 + q, p3 + q} is also affinely independent.
Solution
The first step in solving 8.2 problem number 20 trying to solve the problem we have to refer to the textbook question: Suppose {p1, p2, p3} is an affinely independent set in Rn and q is an arbitrary point in Rn. Show that the translated set {p1 + q, p2 + q, p3 + q} is also affinely independent.
From the textbook chapter Affine Independence you will find a few key concepts needed to solve this.
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Title
Linear Algebra and Its Applications 4
Author
David C. Lay
ISBN
9780321385178