Math Problem Statement

e) T: R^3 -> R^3 is the transformation defined by T(x1,x2,x3) = (6 cube root x1x2x3, 6x1-4x2-x3, 8 cube root x3^2x1). A. T is a linear transformation. B. T does not preserve the zero vector. C. T does not preserve addition. D. T does not preserve scalar multiplication.

Solution

Let's analyze the transformation T:R3R3T: \mathbb{R}^3 \to \mathbb{R}^3 defined by:

[ T(x_1, x_2, x_3) = \left( 6 \sqrt[3]{x_1 x_2 x_3}, 6x_1 - 4x_2 - x_3, 8 \sqrt[3]{x_3^2 x_1} \right) ]

We need to determine which of the following statements is true: A. TT is a linear transformation.
B. TT does not preserve the zero vector.
C. TT does not preserve addition.
D. TT does not preserve scalar multiplication.

Step 1: Linear Transformation Check

For TT to be a linear transformation, it must satisfy two properties:

  1. Preserve addition:
    T(v+w)=T(v)+T(w)T(\mathbf{v} + \mathbf{w}) = T(\mathbf{v}) + T(\mathbf{w}) for any vectors v,wR3\mathbf{v}, \mathbf{w} \in \mathbb{R}^3.

  2. Preserve scalar multiplication:
    T(cv)=cT(v)T(c \mathbf{v}) = c T(\mathbf{v}) for any scalar cRc \in \mathbb{R} and vector vR3\mathbf{v} \in \mathbb{R}^3.

Let's check these properties for the given transformation.

Step 2: Preservation of Addition

We need to check if TT preserves vector addition, i.e., if for any vectors v=(v1,v2,v3)\mathbf{v} = (v_1, v_2, v_3) and w=(w1,w2,w3)\mathbf{w} = (w_1, w_2, w_3), the following holds: T(v1+w1,v2+w2,v3+w3)=T(v1,v2,v3)+T(w1,w2,w3)T(v_1 + w_1, v_2 + w_2, v_3 + w_3) = T(v_1, v_2, v_3) + T(w_1, w_2, w_3)

However, from the first and third components of the transformation: T(v1+w1,v2+w2,v3+w3)=(6(v1+w1)(v2+w2)(v3+w3)3,)T(v_1 + w_1, v_2 + w_2, v_3 + w_3) = \left( 6 \sqrt[3]{(v_1+w_1)(v_2+w_2)(v_3+w_3)}, \dots \right) This clearly does not equal: T(v1,v2,v3)+T(w1,w2,w3)T(v_1, v_2, v_3) + T(w_1, w_2, w_3) because cube roots and products do not distribute over sums in this way. Hence, T does not preserve addition.

Step 3: Preservation of Scalar Multiplication

We need to check if TT preserves scalar multiplication, i.e., if for any scalar cc and vector v=(v1,v2,v3)\mathbf{v} = (v_1, v_2, v_3), the following holds: T(cv1,cv2,cv3)=cT(v1,v2,v3)T(c v_1, c v_2, c v_3) = c T(v_1, v_2, v_3)

For the first component of TT: [ T(c v_1, c v_2, c v_3) = \left( 6 \sqrt[3]{(c v_1)(c v_2)(c v_3)}, \dots \right) = \left( 6 \sqrt[3]{c^3 v_1 v_2 v_3}, \dots \right) = \left( 6 c \sqrt[3]{v_1 v_2 v_3}, \dots \right) ] This is not equal to cT(v1,v2,v3)c T(v_1, v_2, v_3), as the second component does not multiply the scalar linearly, and the cube root affects the scalar cc in the first and third components. Hence, T does not preserve scalar multiplication.

Step 4: Zero Vector Check

For TT to preserve the zero vector, we need to verify if T(0,0,0)=(0,0,0)T(0, 0, 0) = (0, 0, 0).

The transformation of the zero vector is: [ T(0, 0, 0) = \left( 6 \sqrt[3]{0 \cdot 0 \cdot 0}, 6 \cdot 0 - 4 \cdot 0 - 0, 8 \sqrt[3]{0^2 \cdot 0} \right) = (0, 0, 0) ] Thus, T preserves the zero vector.

Conclusion:

  • A. TT is not a linear transformation.
  • B. TT preserves the zero vector.
  • C. TT does not preserve addition.
  • D. TT does not preserve scalar multiplication.

The correct answers are C and D.

Would you like more details on any of these concepts?

Here are 5 related questions to explore:

  1. What are the properties of a linear transformation?
  2. How does a non-linear transformation behave geometrically?
  3. How can we test if a transformation preserves scalar multiplication in different dimensions?
  4. What are some examples of linear and non-linear transformations in physics?
  5. Why does preserving the zero vector matter in transformations?

Tip: Always test both addition and scalar multiplication to verify if a transformation is linear.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Transformations
Vector Spaces
Non-Linear Transformations

Formulas

T(x1, x2, x3) = (6 cube root(x1x2x3), 6x1 - 4x2 - x3, 8 cube root(x3^2x1))
Properties of Linear Transformations

Theorems

Linearity Test: Preservation of Addition and Scalar Multiplication

Suitable Grade Level

Undergraduate Level