In Exercises 32-36, column vectors are written as rows, such as x = ( x 1 , x 2 ), and T ( x ) is written as T ( x 1 , x 2 ). 34. Let T : ℝ n ⟶ ℝ m be a linear transformation. Show that if T maps two linearly independent vectors onto a linearly dependent set, then the equation T ( x ) = 0 has a nontrivial solution. [ Hint: Suppose u and v in ℝ n are linearly independent and yet T ( u ) and T ( v ) are linearly dependent. Then c 1 T ( u ) + c 2 T ( v ) = 0 for some weights c 1 and c 2 , not both zero. Use this equation.]
In Exercises 32-36, column vectors are written as rows, such as x = ( x 1 , x 2 ), and T ( x ) is written as T ( x 1 , x 2 ). 34. Let T : ℝ n ⟶ ℝ m be a linear transformation. Show that if T maps two linearly independent vectors onto a linearly dependent set, then the equation T ( x ) = 0 has a nontrivial solution. [ Hint: Suppose u and v in ℝ n are linearly independent and yet T ( u ) and T ( v ) are linearly dependent. Then c 1 T ( u ) + c 2 T ( v ) = 0 for some weights c 1 and c 2 , not both zero. Use this equation.]
In Exercises 32-36, column vectors are written as rows, such as x = (x1, x2), and T(x) is written as T(x1, x2).
34. Let T : ℝn ⟶ ℝm be a linear transformation. Show that if T maps two linearly independent vectors onto a linearly dependent set, then the equation T(x) = 0 has a nontrivial solution. [Hint: Suppose u and v in ℝn are linearly independent and yet T(u) and T(v) are linearly dependent. Then c1T(u) + c2T(v) = 0 for some weights c1 and c2, not both zero. Use this equation.]
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
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