Need help with vector space multiple choice

In summary, we are determining whether the given set S is a subspace of the vector space V by checking if it satisfies the two criteria of closure under addition and scalar multiplication. If it does not satisfy these criteria, a counterexample can be found.
  • #1
neilpeart0408
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Determine whether the given set S is a subspace of the vector space V.

A. V=P5, and S is the subset of P5 consisting of those polynomials satisfying p(1)>p(0).
B. V is the vector space of all real-valued functions defined on the interval [a,b], and S is the subset of V consisting of those functions satisfying f(a)=f(b).
C. V=ℝn, and S is the set of solutions to the homogeneous linear system Ax=0 where A is a fixed m×n matrix.
D. V=Mn(ℝ), and S is the subset of all n×n matrices with det(A)=0.
E. V=P4, and S is the subset of P4 consisting of all polynomials of the form p(x)=ax3+bx.
F. V=C2(I), and S is the subset of V consisting of those functions satisfying the differential equation yʺ=0.
G. V=ℝ3, and S is the set of vectors (x1,x2,x3) in V satisfying x1-9x2+x3=8.
 
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  • #2
S is a subspace of V if, (1) S is closed under addition (given two elements a and b in S, a+b is in S) and (2)S is closed under scalar multiplication (given x in S, and a scalar c, cx is in S).

For each question you should see if the set satisfies these two criteria. If it doesn't then find a counterexample.

For example problem D, does detA = 0 = detB mean that det(A+B) = 0?
 

1. What is a vector space?

A vector space is a mathematical concept that represents a collection of vectors that can be added together and multiplied by scalars to create new vectors. It is a fundamental concept in linear algebra and is used to model real-world situations in physics, engineering, and other fields.

2. How do you determine if a set of vectors form a basis for a vector space?

To determine if a set of vectors form a basis for a vector space, you need to check if they are linearly independent and span the vector space. This means that none of the vectors can be written as a linear combination of the others, and together they can create any vector in the vector space. If both conditions are met, the set of vectors form a basis for the vector space.

3. What is the dimension of a vector space?

The dimension of a vector space is the number of vectors in a basis for that vector space. It is also the number of elements in each vector in the basis. For example, a vector space with a basis of three vectors, each with two elements, has a dimension of 2.

4. How do you perform vector operations in a vector space?

In a vector space, you can perform operations such as addition, subtraction, and scalar multiplication on vectors. Addition and subtraction are done component-wise, meaning the corresponding elements of the vectors are added or subtracted. Scalar multiplication involves multiplying each element of the vector by a scalar. These operations follow specific rules and properties, such as commutativity and associativity.

5. How are vector spaces used in real life?

Vector spaces have many practical applications in the real world, such as in physics, engineering, and computer graphics. They can be used to represent physical quantities, such as velocity and acceleration, and to model systems with multiple variables. In computer graphics, vector spaces are used to represent and manipulate objects in three-dimensional space.

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