Is the Set of Pairs of Real Numbers with Non-Negative First Term a Vector Space?

In summary, the set of all pairs of real numbers of the form (x,y), where x >= 0, with the standard operations on R^2 is not a vector space because it fails to hold two axioms: the existence of a negative element and the closure under scalar multiplication.
  • #1
trixitium
7
0

Homework Statement



Determine if the following set is a vector space under the given operations. List all the axioms that fail to hold.

The set of all pairs of real numbers of the form (x,y), where x >= 0, with the standard operations on R^2

Homework Equations



The Attempt at a Solution



By the axioms of a vector space the set fail on hold this axiom:

for each u in V, there is an object -u in V, called negative of u, such that u + (-u) = (-u) + u = 0.

If the x term in the pair (x,y) is positive (or zero) then -u = (-x, -y) can not exists. Thus, the negative of u does not exist, and V is not a vector space.

Is this correct?
 
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  • #2
trixitium said:

Homework Statement



Determine if the following set is a vector space under the given operations. List all the axioms that fail to hold.

The set of all pairs of real numbers of the form (x,y), where x >= 0, with the standard operations on R^2

Homework Equations



The Attempt at a Solution



By the axioms of a vector space the set fail on hold this axiom:

for each u in V, there is an object -u in V, called negative of u, such that u + (-u) = (-u) + u = 0.

If the x term in the pair (x,y) is positive (or zero) then -u = (-x, -y) can not exists. Thus, the negative of u does not exist, and V is not a vector space.

Is this correct?

It's OK as far as you went, but you have some more work to do. You need to check all the axioms. There is at least one more that isn't satisfied.
 
  • #3
It also fails in:

K is any scalar, u is in V, ku is in V.

u = (x,y)

If I choose k < 0, then ku = k(x,y) = (kx,ky) and kx < 0 and ku is not in V.
 
  • #4
Note that if the problem had asked only if this was a vector space, you could have stopped after showing one axiom did not hold. But this problem specifically asks you to list all axioms that do not hold.
 

Related to Is the Set of Pairs of Real Numbers with Non-Negative First Term a Vector Space?

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of vectors, which are objects that have both magnitude and direction, and a set of operations that can be performed on these vectors. These operations include addition and scalar multiplication, and they must follow certain properties to be considered a vector space.

2. Why is exercise on vector space important in science?

Exercise on vector space is important in science because vectors are used to represent physical quantities such as force, velocity, and acceleration. By understanding vector spaces and their operations, scientists can analyze and solve problems related to these physical quantities, which are essential in various fields such as physics, engineering, and computer science.

3. What are some common applications of vector spaces?

Vector spaces have many applications in science and everyday life. Some examples include 3D graphics and animation, machine learning and data analysis, and navigation systems such as GPS. They are also used in physics and engineering for solving problems related to forces, motion, and electromagnetic fields.

4. How do you determine if a set of vectors forms a vector space?

To determine if a set of vectors forms a vector space, it must satisfy a set of axioms or properties. These properties include closure under vector addition and scalar multiplication, existence of a zero vector, and existence of additive and multiplicative inverses. If all of these properties are satisfied, the set of vectors is considered a vector space.

5. Can vector spaces have an infinite number of dimensions?

Yes, vector spaces can have an infinite number of dimensions. In fact, many important vector spaces in mathematics and physics, such as the space of all continuous functions, have infinite dimensions. This means that there are an infinite number of independent vectors that span the space, and any vector in the space can be expressed as a linear combination of these vectors.

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