Scaling & Stretching - Linear Algebra

  1. A linear transformation T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 is defined by the matrix A=(5000.2)A = \begin{pmatrix} 5 & 0 \\ 0 & 0.2 \end{pmatrix}. Which statement correctly describes the eigenvalues and eigenvectors of this transformation?
    Answer: The eigenvalues are 5 and 0.2, with corresponding eigenvectors (10)\begin{pmatrix} 1 \\ 0 \end{pmatrix} and (01)\begin{pmatrix} 0 \\ 1 \end{pmatrix}. For a diagonal matrix, the eigenvalues are the entries on the main diagonal. In this case, the eigenvalues are λ1=5\lambda_1 = 5 and λ2=0.2\lambda_2 = 0.2. The eigenvectors of a diagonal scaling matrix are the standard basis vectors. The vector e⃗1=(10)\vec{e}_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix} is scaled by 5, so it is the eigenvector for λ1=5\lambda_1 = 5. The vector e⃗2=(01)\vec{e}_2 = \begin{pmatrix} 0 \\ 1 \end{pmatrix} is scaled by 0.2, so it is the eigenvector for λ2=0.2\lambda_2 = 0.2.
  2. Consider the linear transformation S:R3→R3S: \mathbb{R}^3 \to \mathbb{R}^3 that stretches by a factor of 4 along the z-axis while leaving the x and y coordinates unchanged. If the vector u⃗=(2,−1,3)\vec{u} = (2, -1, 3) is transformed to S(u⃗)S(\vec{u}), and then S(u⃗)S(\vec{u}) is transformed again by the same transformation SS, what is the resulting vector?
    Answer: (2,−1,48)(2, -1, 48) after applying SS twice sequentially The transformation matrix is S=(100010004)S = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 4 \end{pmatrix}. First application: S(u⃗)=(2,−1,12)S(\vec{u}) = (2, -1, 12). Second application: S(S(u⃗))=S(2,−1,12)=(2,−1,48)S(S(\vec{u})) = S(2, -1, 12) = (2, -1, 48). The composition S∘SS \circ S has the effect of stretching by factor 42=164^2 = 16 along the z-axis. Choice A gives the correct result but incorrectly describes it as composition notation. Choice B incorrectly applies scaling to all components. Choice D incorrectly applies scaling to x and y components.
  3. Let SS be a linear transformation that scales the y-coordinate by a factor of 4, and let TT be a linear transformation that scales the x-coordinate by a factor of 1/21/2. What is the standard matrix for the composite transformation T∘ST \circ S (which applies SS first)?
    Answer: (1/2004)\begin{pmatrix} 1/2 & 0 \\ 0 & 4 \end{pmatrix} The standard matrix for SS (scaling y by 4) is AS=(1004)A_S = \begin{pmatrix} 1 & 0 \\ 0 & 4 \end{pmatrix}. The standard matrix for TT (scaling x by 1/21/2) is AT=(1/2001)A_T = \begin{pmatrix} 1/2 & 0 \\ 0 & 1 \end{pmatrix}. The composite transformation T∘ST \circ S is represented by the matrix product ATASA_T A_S. ATAS=(1/2001)(1004)=((1/2)(1)+(0)(0)(1/2)(0)+(0)(4)(0)(1)+(1)(0)(0)(0)+(1)(4))=(1/2004)A_T A_S = \begin{pmatrix} 1/2 & 0 \\ 0 & 1 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & 4 \end{pmatrix} = \begin{pmatrix} (1/2)(1) + (0)(0) & (1/2)(0) + (0)(4) \\ (0)(1) + (1)(0) & (0)(0) + (1)(4) \end{pmatrix} = \begin{pmatrix} 1/2 & 0 \\ 0 & 4 \end{pmatrix}
  4. Consider the transformation T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 defined by T(x,y)=(ax,by)T(x,y) = (ax, by) where a,b>0a, b > 0. If TT maps the triangle with vertices (0,0)(0,0), (4,0)(4,0), and (0,6)(0,6) to a triangle with area 36 square units, and the transformed triangle has a base (along the x-axis) that is twice as long as its height (along the y-axis), what are the values of aa and bb?
    Answer: a=3a = 3 and b=1b = 1, satisfying both the area and proportion conditions The original triangle has vertices (0,0)(0,0), (4,0)(4,0), (0,6)(0,6) with area 12⋅4⋅6=12\frac{1}{2} \cdot 4 \cdot 6 = 12. After transformation: (0,0)(0,0), (4a,0)(4a,0), (0,6b)(0,6b). The new area is 12⋅4a⋅6b=12ab=36\frac{1}{2} \cdot 4a \cdot 6b = 12ab = 36, so ab=3ab = 3. The base is 4a4a and height is 6b6b. The condition "base is twice the height" gives 4a=2(6b)4a = 2(6b), so 4a=12b4a = 12b, thus a=3ba = 3b. Substituting: (3b)⋅b=3(3b) \cdot b = 3, so 3b2=33b^2 = 3, giving b=1b = 1 and a=3a = 3. Choices B and D have incorrect calculations. Choice C gives the same answer but with less precise reasoning in the description.
  5. A scaling transformation SS stretches vectors by factor mm along a line making angle θ\theta with the positive x-axis, while leaving vectors perpendicular to this line unchanged. If θ=45°\theta = 45° and SS maps the vector v⃗=(1,1)\vec{v} = (1,1) to w⃗=(3,3)\vec{w} = (3,3), what does SS do to the vector u⃗=(1,−1)\vec{u} = (1,-1)?
    Answer: Maps u⃗\vec{u} to (1,−1)(1,-1) since it's perpendicular to the stretching direction At θ=45°\theta = 45°, the stretching direction is along (1,1)(1,1) (or any scalar multiple). Since v⃗=(1,1)\vec{v} = (1,1) maps to (3,3)(3,3), the scaling factor m=3m = 3 along this direction. The vector u⃗=(1,−1)\vec{u} = (1,-1) is perpendicular to (1,1)(1,1) since their dot product is 1⋅1+(−1)⋅1=01 \cdot 1 + (-1) \cdot 1 = 0. Vectors perpendicular to the stretching direction remain unchanged, so S(u⃗)=(1,−1)S(\vec{u}) = (1,-1). Choice B incorrectly applies uniform scaling. Choice C incorrectly suggests rotation. Choice D gives the correct answer but incorrectly describes the reasoning (invariant direction vs. perpendicular to stretching direction).
  6. The rectangle with vertices at (0,0),(−6,0),(−6,5),(0,0), (-6,0), (-6,5), and (0,5)(0,5) is the image of the unit square (vertices at (0,0),(1,0),(1,1),(0,1)(0,0), (1,0), (1,1), (0,1)) under a linear transformation TT that scales along the coordinate axes. What is the standard matrix for TT?
    Answer: (−6005)\begin{pmatrix} -6 & 0 \\ 0 & 5 \end{pmatrix} Let the scaling matrix be A=(kx00ky)A = \begin{pmatrix} k_x & 0 \\ 0 & k_y \end{pmatrix}. The transformation maps the vertices of the unit square to the vertices of a rectangle. Specifically, T(1,0)=(kx,0)T(1,0) = (k_x, 0) and T(0,1)=(0,ky)T(0,1) = (0, k_y). The vertices of the image rectangle are (0,0),(−6,0),(0,5),(0,0), (-6,0), (0,5), and (−6,5)(-6,5). The two vectors defining the sides of the rectangle from the origin are (−6,0)(-6,0) and (0,5)(0,5). These must be the images of the standard basis vectors. Thus, T(1,0)=(−6,0)T(1,0) = (-6,0) and T(0,1)=(0,5)T(0,1) = (0,5). This implies kx=−6k_x = -6 and ky=5k_y = 5. The standard matrix is therefore (−6005)\begin{pmatrix} -6 & 0 \\ 0 & 5 \end{pmatrix}.
  7. Let T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 be a linear transformation represented by the standard matrix A=(1004)A = \begin{pmatrix} 1 & 0 \\ 0 & 4 \end{pmatrix}. Which statement best describes the geometric effect of this transformation?
    Answer: A vertical stretch by a factor of 4 and no change horizontally. The matrix A=(1004)A = \begin{pmatrix} 1 & 0 \\ 0 & 4 \end{pmatrix} transforms a vector v⃗=(xy)\vec{v} = \begin{pmatrix} x \\ y \end{pmatrix} to Av⃗=(1004)(xy)=(x4y)A\vec{v} = \begin{pmatrix} 1 & 0 \\ 0 & 4 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = \begin{pmatrix} x \\ 4y \end{pmatrix}. This means the x-coordinate is unchanged, while the y-coordinate is multiplied by 4. This corresponds to a vertical stretch by a factor of 4.
  8. A linear transformation T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 scales vectors along the coordinate axes. Given that T((3−2))=(−9−1)T\left(\begin{pmatrix} 3 \\ -2 \end{pmatrix}\right) = \begin{pmatrix} -9 \\ -1 \end{pmatrix}, what is the scaling factor for the x-axis?
    Answer: -3 Let the standard matrix for the scaling be A=(kx00ky)A = \begin{pmatrix} k_x & 0 \\ 0 & k_y \end{pmatrix}. Applying this to the given vector yields (kx00ky)(3−2)=(3kx−2ky)\begin{pmatrix} k_x & 0 \\ 0 & k_y \end{pmatrix} \begin{pmatrix} 3 \\ -2 \end{pmatrix} = \begin{pmatrix} 3k_x \\ -2k_y \end{pmatrix}. We are given that this result is equal to (−9−1)\begin{pmatrix} -9 \\ -1 \end{pmatrix}. By comparing the components, we get two equations: 3kx=−93k_x = -9 and −2ky=−1-2k_y = -1. Solving the first equation gives kx=−9/3=−3k_x = -9/3 = -3. The scaling factor for the x-axis is -3.
  9. A linear transformation TT in R2\mathbb{R}^2 compresses vectors horizontally to one-third of their original length and stretches them vertically to five times their original length. What is the standard matrix for TT?
    Answer: (1/3005)\begin{pmatrix} 1/3 & 0 \\ 0 & 5 \end{pmatrix} A horizontal compression by a factor of 1/31/3 means the x-coordinate is multiplied by 1/31/3. A vertical stretch by a factor of 5 means the y-coordinate is multiplied by 5. The transformation is T(x,y)=(x/3,5y)T(x, y) = (x/3, 5y). The standard matrix is formed by applying the transformation to the standard basis vectors. T(e⃗1)=T(1,0)=(1/3,0)T(\vec{e}_1) = T(1,0) = (1/3, 0) and T(e⃗2)=T(0,1)=(0,5)T(\vec{e}_2) = T(0,1) = (0, 5). These form the columns of the matrix, which is (1/3005)\begin{pmatrix} 1/3 & 0 \\ 0 & 5 \end{pmatrix}.
  10. A transformation TT stretches any vector in R2\mathbb{R}^2 by a factor of 4 horizontally and compresses it to one-half its length vertically. Which transformation T−1T^{-1} maps the transformed vectors back to their original positions?
    Answer: A horizontal compression by 1/41/4 and a vertical stretch by 2. The original transformation TT has matrix A=(4001/2)A = \begin{pmatrix} 4 & 0 \\ 0 & 1/2 \end{pmatrix}. The inverse transformation T−1T^{-1} is represented by the inverse matrix A−1A^{-1}. For a diagonal matrix, the inverse is found by taking the reciprocal of each diagonal entry: A−1=(1/4002)A^{-1} = \begin{pmatrix} 1/4 & 0 \\ 0 & 2 \end{pmatrix}. This matrix corresponds to multiplying the x-coordinate by 1/41/4 (a horizontal compression) and the y-coordinate by 2 (a vertical stretch).
  11. A linear transformation T(x⃗)=Ax⃗T(\vec{x}) = A\vec{x} uses the matrix A=(3001/2)A = \begin{pmatrix} 3 & 0 \\ 0 & 1/2 \end{pmatrix}. What is the equation of the image of the line y=2x+4y = 2x + 4 under this transformation?
    Answer: y=13x+2y = \frac{1}{3}x + 2 When you encounter a linear transformation applied to a curve, you need to understand how the transformation affects individual points, then reconstruct the transformed curve's equation. To find how the line y=2x+4y = 2x + 4 transforms under T(x⃗)=Ax⃗T(\vec{x}) = A\vec{x} where A=(3001/2)A = \begin{pmatrix} 3 & 0 \\ 0 & 1/2 \end{pmatrix}, start with a general point (x,y)(x, y) on the original line. Since y=2x+4y = 2x + 4, any point can be written as (x,2x+4)(x, 2x + 4). The transformation maps this point to: A(x2x+4)=(3001/2)(x2x+4)=(3x12(2x+4))=(3xx+2)A\begin{pmatrix} x \\ 2x + 4 \end{pmatrix} = \begin{pmatrix} 3 & 0 \\ 0 & 1/2 \end{pmatrix}\begin{pmatrix} x \\ 2x + 4 \end{pmatrix} = \begin{pmatrix} 3x \\ \frac{1}{2}(2x + 4) \end{pmatrix} = \begin{pmatrix} 3x \\ x + 2 \end{pmatrix} So the transformed point is (3x,x+2)(3x, x + 2). To find the equation relating these new coordinates, let X=3xX = 3x and Y=x+2Y = x + 2. From X=3xX = 3x, we get x=X3x = \frac{X}{3}. Substituting into Y=x+2Y = x + 2: Y=X3+2Y = \frac{X}{3} + 2, or y=13x+2y = \frac{1}{3}x + 2. Choice A (y=13x+4y = \frac{1}{3}x + 4) incorrectly keeps the original y-intercept unchanged, forgetting that the transformation scales the y-coordinates. Choice B (y=12x+8y = 12x + 8) mistakenly multiplies everything by factors from the matrix. Choice C (y=3x+2y = 3x + 2) confuses which coordinate gets which scaling factor. Remember: when transforming curves, apply the transformation to general points on the curve, then eliminate parameters to find the new equation. Don't just transform coefficients directly.
  12. A linear transformation is represented by the matrix A=(2001/2)A = \begin{pmatrix} 2 & 0 \\ 0 & 1/2 \end{pmatrix}. This transformation is applied to a parallelogram defined by the vectors u⃗=(31)\vec{u} = \begin{pmatrix} 3 \\ 1 \end{pmatrix} and v⃗=(24)\vec{v} = \begin{pmatrix} 2 \\ 4 \end{pmatrix} originating from the origin. What is the area of the resulting parallelogram?
    Answer: 10 When you encounter a problem about linear transformations and areas, remember that the determinant of the transformation matrix tells you how areas scale under the transformation. To find the area of the transformed parallelogram, you need two pieces: the original area and the scaling factor. First, find the original area using the cross product formula. The area of a parallelogram formed by vectors u⃗=(31)\vec{u} = \begin{pmatrix} 3 \\ 1 \end{pmatrix} and v⃗=(24)\vec{v} = \begin{pmatrix} 2 \\ 4 \end{pmatrix} is the absolute value of their determinant: ∣3⋅4−1⋅2∣=∣12−2∣=10|3 \cdot 4 - 1 \cdot 2| = |12 - 2| = 10. Next, calculate how the transformation scales areas by finding det⁡(A)=2⋅12−0⋅0=1\det(A) = 2 \cdot \frac{1}{2} - 0 \cdot 0 = 1. Since the determinant equals 1, areas are preserved under this transformation. Therefore, the transformed parallelogram has area 10×1=1010 \times 1 = 10. Looking at the wrong answers: Choice A (5) likely comes from forgetting to take the absolute value or making an arithmetic error in the cross product. Choice B (1) represents just the determinant of the transformation matrix, ignoring the original parallelogram entirely. Choice C (20) might result from incorrectly adding the determinants rather than multiplying the original area by the scaling factor. The key insight is that linear transformations scale all areas by the absolute value of the determinant. Always compute the original area first, then multiply by ∣det⁡(A)∣|\det(A)| to find the transformed area.
  13. Let T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 be a linear transformation that scales the x-coordinate by a factor of 6 and the y-coordinate by a factor of 1/21/2. If a square with area 4 is transformed by TT, what is the area of the resulting figure?
    Answer: 12 The standard matrix for this transformation is A=(6001/2)A = \begin{pmatrix} 6 & 0 \\ 0 & 1/2 \end{pmatrix}. The determinant of this matrix is det⁡(A)=(6)(1/2)=3\det(A) = (6)(1/2) = 3. The area of a transformed region is the original area multiplied by the absolute value of the determinant of the transformation matrix. Therefore, the new area is 4×∣det⁡(A)∣=4×3=124 \times |\det(A)| = 4 \times 3 = 12.
  14. Consider the non-uniform scaling transformation T:R2→R2T: \mathbb{R}^2 \to \mathbb{R}^2 with standard matrix A=(4002)A = \begin{pmatrix} 4 & 0 \\ 0 & 2 \end{pmatrix}. The shape of which of the following geometric figures is NOT preserved under TT?
    Answer: A circle centered at the origin. A non-uniform scaling stretches or compresses the plane by different factors in different directions. A circle, defined by x2+y2=r2x^2 + y^2 = r^2, is characterized by all its points being equidistant from the center. Under this transformation, x′=4xx' = 4x and y′=2yy' = 2y, so x=x′/4x = x'/4 and y=y′/2y=y'/2. The equation becomes (x′4)2+(y′2)2=r2(\frac{x'}{4})^2 + (\frac{y'}{2})^2 = r^2, or x′216+y′24=r2\frac{x'^2}{16} + \frac{y'^2}{4} = r^2. This is the equation of an ellipse, not a circle. Thus, the shape of a circle is not preserved. A square becomes a rectangle, a line segment becomes another line segment, and a parallelogram becomes another parallelogram.

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