Need a book that explains linear vector space

In summary, a linear vector space is a mathematical concept that describes a collection of objects that can be added together and multiplied by numbers. It follows specific rules and has various applications in mathematics and science. Some examples include Euclidean space, function spaces, and vector spaces of matrices. It differs from a regular vector space in terms of the types of scalars allowed. Real-world applications of linear vector spaces can be found in fields such as physics, engineering, economics, and computer science. To learn more, one can refer to textbooks, online courses, and academic articles, but a strong background in linear algebra and mathematical analysis is recommended.
  • #1
trex
6
0
i need to a buk that explains linear vector space with respect to quantum mechanical concepts...most buk have just a short review or something..i need to understand it and how it is related to qm...
thanks a lot
 
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  • #2
Then it sounds to me like you want a "Linear Algebra" text, not a physics text.

On the other hand, it also sounds like you want some applications along with it. Try
"Linear Algebra and its Applications" by David Lay, Pearson Education, publishers, ISBN 0321385179.
 

1. What is a linear vector space?

A linear vector space, also known as a vector space, is a mathematical concept that describes a collection of objects, called vectors, that can be added together and multiplied by numbers, known as scalars. This space follows specific rules, such as closure under addition and scalar multiplication, and is used to study various mathematical and scientific phenomena.

2. What are some examples of linear vector spaces?

Some common examples of linear vector spaces include Euclidean space, function spaces, and vector spaces of matrices. These spaces have different properties and applications, but all follow the same basic rules of a linear vector space.

3. How is a linear vector space different from a regular vector space?

A regular vector space is a special case of a linear vector space, where the scalars are limited to real or complex numbers. In a linear vector space, the scalars can come from any field, allowing for more general applications and the use of abstract algebraic structures.

4. What are some real-world applications of linear vector spaces?

Linear vector spaces have many practical applications in fields such as physics, engineering, economics, and computer science. They are used to model physical systems, analyze data, and solve optimization problems, among other things.

5. How can I learn more about linear vector spaces?

There are many resources available for learning about linear vector spaces, including textbooks, online courses, and academic articles. It is recommended to have a strong background in linear algebra and mathematical analysis before studying this topic in depth.

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