Definitions To say that P is closed under addition means that the vector sum of any two points of P is in P. To say that P is closed under scalar multiplication means that the scalar product of any number (including zero) with any point of P is in P. To say that P is a subspace means that P satisfies both properties: a subspace of a vector space is a subset that is closed under both addition and scalar multiplication. First we prove that (a) P1={(x1, x2)^T| x1+x2=0} is a subspace of R^2 For any y=(y1, y2)^T, z=(z1,z2)^T in P1, we have y1+y2=0, z1+z2=0 Thus (y1+z1)+(y2+z2)=0, Thus y+ z=(y1+z1, y2+z2) is in P1. For any scalar alpha and any x=(x1, x2)^T in P1, we need to show that alpha * x= (alpha *x1, alpha*x2) is in P1. We know that alpha*x1+alpha*x2=alpha*(x1+x2)=0, since x1+x2=0. Thus alpha * x is in P1. Since x1, x2 are real number, P1 is a subset of R^2. Thus according to the above definition. thus P1 is a subspace of R^2. Now we prove that ( c) P3={(x1, x2)^T| x1=3*x2} is a subspace of R^2 For any y=(y1, y2)^T, z=(z1,z2)^T in P3, we have y1=3*y2, z1=3*z2, thus (y1+z1)=3*(y2+z2), i.e. y+z is in P3 For any scalar alpha and any x=(x1, x2)^T in P3, we need to show that alpha * x is in P3. We know that alpha*x1=alpha*(3*x2)=3* (alpha*x2), thus alpha * x is in P3. Also P3 is a subset of R^2, the proof is similar to that of P1. Thus P3 is also a subspace of R^2. The proofs for (b), (d), (e) are similar. I let you do so that you can learn more. Note: T stands for transpose. i.e. (x1, x2)^T= x1 x2 with big open ’ (‘ on the left and big close ‘) ‘on the right.