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Math 5A: Homework #10 Solution 12. This is the set of vectors (x, y, z) such that x > 0, y > 0, z > 0. However, this does not form a vector space. It violates closure under scalar multiplication (C2), since (1, 1, 1) is in the first octant, but −1(1, 1, 1) = (−1, −1, −1) is not. 14. The set of all polynomials of degree 2 does form a vector space. The sum of any two degree 2 polynomials is another polynomial of degree less than or equal to 2. And multiplying a degree 2 polynomial by a constant is another degree 2 polynomial. The other properties are easy to check as well. a 0 16. The set of all diagonal 2x2 matrices is a vector space. Since + 0 b c 0 a+c 0 = , it is clear that the sum of any 2 diagonal 0 d 0 b+d a 0 ac 0 matrices is a diagonal matrix. Also c = , so a 0 b 0 bc diagonal matrix times a scalar is again a diagonal matrix. The other properties follow from matrix addition rules. 1 0 18. The set of all invertible 2x2 matrices is not a vector space. is 0 1 −1 0 1 0 −1 0 invertible and is invertible, but + = 0 −1 0 1 0 −1 0 0 is not invertible. 0 0 52. The first quadrant is closed under addition but not scalar multiplication. Any vector in the first quadrant can be expressed (x, y) where x > 0 and y > 0. Adding any two vectors of this form, we get (x, y) + (z, t) = (x + z, y + t) and x + z > 0 since x, z > 0 and y + t > 0, since y, t > 0. So the first quadrant is closed under addition. However −1(1, 1) = (−1, −1) is not in the first quadrant, so the first quadrant is not closed under scalar multiplication. 54. Consider the set of vectors of the form (x, 0) and (0, y) where x > 0 and y > 0. Since (1, 0) and (0, 1) are in this set, but (1, 0) + (0, 1) = (1, 1) is not, this set is not closed under addition. And since −1(1, 0) = (−1, 0) is not in this set, it is not closed under scalar multiplication either. 1