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Transforming A reas Fo $r$ Problems 49-52, let $T: \mathbb{R}^2 \rightarrow \mathbb{R}^2$ be defined by $T(\overrightarrow{\mathbf{v}})=\mathbf{A} \overrightarrow{\mathbf{v}}$, where $$ A=\left[\begin{array}{rr} 1 & -1 \\ 2 & 1 \end{array}\right] . $$ Repeat Problem 49 for the triangle with vertices $(0,0)$, $(1,1)$, and $(-1,1)$.

   Transforming A reas Fo $r$ Problems 49-52, let $T: \mathbb{R}^2 \rightarrow \mathbb{R}^2$ be defined by $T(\overrightarrow{\mathbf{v}})=\mathbf{A} \overrightarrow{\mathbf{v}}$, where
$$
A=\left[\begin{array}{rr}
1 & -1 \\
2 & 1
\end{array}\right] .
$$
Repeat Problem 49 for the triangle with vertices $(0,0)$, $(1,1)$, and $(-1,1)$.
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Differential Equations & Linear Algebra
Differential Equations & Linear Algebra
Farlow, Hall,… 2nd Edition
Chapter 5, Problem 50 ↓

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The vertices of the triangle are given as \( (0,0) \), \( (1,1) \), and \( (-1,1) \).  Show more…

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Transforming A reas Fo $r$ Problems 49-52, let $T: \mathbb{R}^2 \rightarrow \mathbb{R}^2$ be defined by $T(\overrightarrow{\mathbf{v}})=\mathbf{A} \overrightarrow{\mathbf{v}}$, where $$ A=\left[\begin{array}{rr} 1 & -1 \\ 2 & 1 \end{array}\right] . $$ Repeat Problem 49 for the triangle with vertices $(0,0)$, $(1,1)$, and $(-1,1)$.
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Key Concepts

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Linear Transformation
A linear transformation is a function between vector spaces that preserves vector addition and scalar multiplication. It can be represented using a matrix, which when multiplied by a vector, transforms the vector to its new location in a systematic way. This fundamental concept is used to understand how geometric figures, such as triangles or other shapes, are altered under the transformation.
Matrix Representation
Every linear transformation in finite-dimensional spaces can be expressed as a matrix. In this context, the matrix represents the mapping from one vector to another in R^2 by specifying how the basis elements of the domain are transformed. This representation makes it possible to easily compute the transformed coordinates of points and analyze the properties of the transformation.
Determinant as an Area Scaling Factor
In the context of area transformation, the determinant of the transformation matrix plays a key role. The absolute value of the determinant indicates how the area of a geometric figure, such as a triangle, is scaled. A determinant greater than 1 expands area, while one between 0 and 1 contracts it, and a negative determinant indicates a reflection combined with scaling.
Transformation of Geometric Figures
When a geometric figure like a triangle is transformed by a linear transformation, each vertex of the figure is mapped individually by the transformation, resulting in a new figure. The overall effect on the shape’s area and orientation is determined by the properties of the transformation matrix, and this approach is used to understand how basic shapes are manipulated in the plane.

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