Another exercise on vector space

In summary: IOW, you demonstrated that the definition of scalar multiplication for k=-1 gives the usual additive inverse of u.In summary, the set V of all pairs of real numbers of the form (1,x) with the operations (1, y) + (1, y') = (1, y + y') and k(1, y) = (1, ky) is a vector space, with (1,0) as the zero vector and (-1, x) as the negative of (1, x). This is because the zero vector (1,0) remains untouched under addition and the negative vector (-1, x) added to (1, x) results in the zero vector (1,
  • #1
trixitium
7
0

Homework Statement



Determine if the following set is a vector space under the the given operations.

The set V of all pairs of real numbers of the form (1,x) with the operations:

(1, y) + (1, y') = (1, y + y')

k(1, y) = (1, ky)


Homework Equations




The Attempt at a Solution



Axiom 4: There is an object 0 in V, called a zero vector for V, such that 0 + u = u + 0 = u.

u = (1, y)

(1, y) + (1, 0) = (1, y+ 0) = (1, u) = u

May I consider (1,0) as the zero vector? I have a doubt if the zero vector 0 has to be (0,0) always or the zero can be defined as any vector (in this case (1,0) ) that remains the vector untouched under addition.

Axim 5: for each u in V, there is an object -u in V, called a negative of u, such that u + (-u) = (-u) + u = 0

u = (1,x)
-u = (-1)(1,x) = (1, -x) by definition of scalar multiplication given for the set V. (Is this correct?)

then u + (-u) = (1,x) + (-1)(1,x) = (1,x) + (1,-x) = (1,x+(-x)) = (1,0) = 0

in this case (1,0) is the zero vector.
 
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  • #2
trixitium said:

Homework Statement



Determine if the following set is a vector space under the the given operations.

The set V of all pairs of real numbers of the form (1,x) with the operations:

(1, y) + (1, y') = (1, y + y')

k(1, y) = (1, ky)


Homework Equations




The Attempt at a Solution



Axiom 4: There is an object 0 in V, called a zero vector for V, such that 0 + u = u + 0 = u.

u = (1, y)

(1, y) + (1, 0) = (1, y+ 0) = (1, u) = u

May I consider (1,0) as the zero vector? I have a doubt if the zero vector 0 has to be (0,0) always or the zero can be defined as any vector (in this case (1,0) ) that remains the vector untouched under addition.
In this case (0,0) cannot be the zero vector, since (0,0) is not in V.

Axiom 5: for each u in V, there is an object -u in V, called a negative of u, such that u + (-u) = (-u) + u = 0

u = (1,x)
-u = (-1)(1,x) = (1, -x) by definition of scalar multiplication given for the set V. (Is this correct?)
yep - defn was k(1,y)=(1,ky) so put k=-1 ... but just like "0" does not need to be (0,0), so -u need not be literally "-1.u". It's a notation. However:

then u + (-u) = (1,x) + (-1)(1,x) = (1,x) + (1,-x) = (1,x+(-x)) = (1,0) = 0

in this case (1,0) is the zero vector.
... well done. You have discovered that the negative vector [-u] is the same as -1.u

You'd normally want to say:

if v=(1,y) is the negative of u=(1,x), then u+v=0

observe: u+v=0 iff y=-x, therefore: -u=(1,-x)=-1.(1,x)=-1.u
 

Related to Another exercise on vector space

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of objects, called vectors, and two operations: vector addition and scalar multiplication. These operations follow specific rules, such as closure, associativity, and distributivity, and allow for the manipulation and transformation of vectors within the space.

2. How is vector space different from Euclidean space?

Euclidean space, also known as Cartesian space, is a specific type of vector space where the vectors are represented by coordinates in three-dimensional space. Vector spaces, on the other hand, can have any number of dimensions and do not necessarily have a geometric interpretation.

3. What are some common examples of vector spaces?

Some common examples of vector spaces include the set of all real numbers, the set of all polynomials, and the set of all matrices with a fixed size and entries from a specific field. Other examples include the set of all continuous functions and the set of all solutions to a system of linear equations.

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, you must check if the vectors satisfy all the properties of a vector space. These properties include closure, associativity, commutativity, existence of a zero vector, existence of additive inverse, and distributivity. If all of these properties hold, then the set of vectors is a vector space.

5. What is the importance of vector spaces in science and engineering?

Vector spaces are essential in science and engineering because they provide a powerful tool for modeling and analyzing phenomena in various fields such as physics, engineering, computer science, and economics. They allow for the representation and manipulation of complex data and systems, making them a fundamental concept in many scientific and engineering applications.

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