Linear Algebra 2 Conceptual Questions (Vector spaces)

In summary: This is common in mathematics. For example, you may see boldface used to denote a real number, as opposed to the normal unalarmed font.
  • #1
Saladsamurai
3,020
7
Alrighty then :smile:

I am working through Axler's LA Done Right. I have 2 questions for now:

1.) He uses some notation that is confusing me. When referring to [itex]\mathbf{R} \text{ or }\mathbf{C}[/itex] as a set it is in BOLD but when he refers to a vector space as being the set V, it is not in boldface. Why?
2.) I am also a little confused by part of the definition of a Vector Space.

Def: A vector space is a set V along with an addition on V and a scalar multiplication on V such
that the following properties hold: commutativity, associativity, ...etc.

(Here is where I get confused)
The scalar multiplication in a vector space depends upon F (where F can refer to either [itex]\mathbf{R}\text{ or }\mathbf{C}[/itex]). Thus when we need to be precise, we will say that V is a vector space over F instead of simply saying that V is a vector space. For example, Rn is a vector space over R and Cn is a vector space over C.
Can someone clarify what he means by a vector space over F or over R and how that is different from just saying a vector space?

He never actually says what this means.

Thanks!
 
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  • #2
A vector space over F means that the 'scalars' are elements of F. So a vector space over R means that the scalars are real numbers. You can also have a complex vector space, where the scalars are complex numbers. In general, F can be any field, which is type of set, of which the real and complex numbers the most familiar examples.
 
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  • #3
dx said:
A vector space over F means that the 'scalars' are elements of F. So a vector space over R means that the scalars are real numbers. You can also have a complex vector space, where the scalars are complex numbers. In general, F can be any field, which is type of set, of which the real and complex numbers the most familiar examples.

So if we were to just say that V is a vector space, does that automatically imply over all of F?


Also: dx, do you know why F, C, and R are in boldface whereas V is not?
 
  • #4
Saladsamurai said:
So if we were to just say that V is a vector space, does that automatically imply over all of F?

Sometimes we can just say V is a vector space if it is understood from the context what the field F is. There's no such thing as a vector space "over all of F". You must always say what F is. For example, you may say F = R if you want a real vector space, or F = C if you want a complex vector space.
Saladsamurai said:
Also: dx, do you know why F, C, and R are in boldface whereas V is not?

I don't think there's any particular reason.
 
  • #5
It's possible the author is using different typesets to separate sets from vector spaces. So a plain set or a field would be boldfaced, whereas a vector space, which is actually a quadruple - a set, a field, and a multiplication and addition function - is not boldfaced. Don't try to look too deeply into the difference between a vector space and the set of elements that make up a vector space since it's just likely to make your brain hurt without gaining any real insight at the moment
 
  • #6
It looks to me like the author is using bold face for fields as distinguished from the vector spaces.
 

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of objects called vectors, which can be added together and multiplied by scalars (numbers). The vectors must follow certain properties, such as closure under addition and scalar multiplication, to be considered a vector space.

2. What are the basic operations in a vector space?

The basic operations in a vector space are addition and scalar multiplication. Addition involves adding two vectors together to form a new vector, while scalar multiplication involves multiplying a vector by a scalar (a number).

3. 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 the properties of a vector space. These properties include closure under addition and scalar multiplication, associative and commutative properties of addition, existence of an additive identity, and existence of additive inverses for each vector.

4. What is the difference between a vector and a scalar?

A vector is a mathematical object that has both magnitude and direction, and can be represented by an arrow. A scalar, on the other hand, is a single number that has magnitude but no direction. In a vector space, vectors can be added together and multiplied by scalars.

5. Can a vector space have an infinite number of dimensions?

Yes, a vector space can have an infinite number of dimensions. This means that there can be an infinite number of vectors that can form a basis for the vector space, and any vector in the space can be written as a linear combination of these basis vectors.

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