Worked examples · Sheet 1
Subspace checks with the criterion
Theory used: Vector subspaceSubspace criterionHomogeneous and non-homogeneous equations
Go to: Exercise 1Exercise 2Exercise 3Exercise 4
Exercise 1
Determine whether the following subsets of are vector subspaces:
For we check the three conditions of the subspace criterion. The zero vector satisfies the equation. If and lie in , the expressions and equal ; since the left-hand side of the equation evaluated at is the sum of these two expressions, also satisfies the equation. In the same way the left-hand side evaluated at is times the one evaluated at , so it equals . Therefore is a subspace: it is the plane through the origin formed by the vectors orthogonal to , since the left-hand side of the equation is the dot product .
The set does not contain the zero vector, because at the left-hand side equals and not . Hence is not a subspace: it is the plane parallel to that does not pass through the origin.
Exercise 2
Determine whether is a subspace of .
The zero vector lies in , so the first condition of the criterion is satisfied and is not enough to decide. We test closure under scalar multiplication with a concrete vector: belongs to because , while its double does not belong to it, because . Since the third condition is not satisfied, is not a subspace. A single counterexample is sufficient; geometrically, the parabola does not contain the line through the origin and .
Exercise 3
Determine whether the following subsets of are subspaces:
The trace of the zero matrix is , so . The trace is additive and homogeneous, that is and , as the entrywise computations show; therefore if and have zero trace, and also have zero trace. By the subspace criterion is a subspace.
The set contains the zero matrix and is closed under scalar multiplication, since . The sum, however, can leave : the matrices and have determinant , while their sum is the identity, with determinant . Hence is not a subspace.
Exercise 4
Determine whether the following subsets of are subspaces:
The value of a polynomial at a point behaves linearly: the value of the sum is the sum of the values, and the value of is times the value of . Hence the zero polynomial lies in and, if , then and also vanish at . By the subspace criterion is a subspace: it consists of the polynomials divisible by .
The condition that defines is a product, and the product is not linear. The polynomial lies in because it vanishes at , and lies in because it vanishes at ; the sum equals at and at , so the product of the two values is . Therefore is not a subspace: it is the union of the two subspaces and .