Basic equation in Vector Space - Cooperstein Exercise 1, Section 1.3

In summary, the conversation is about the person seeking help with Exercise 1 of Section 1.3 in Bruce Cooperstein's book Advanced Linear Algebra. The person is struggling with the exercise and is looking for guidance. Cooperstein's approach involves using M1 to rewrite $c0$ as $c0 + c0$, which is similar to a proof in group theory. The person expresses gratitude for the help.
  • #1
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I am reading Bruce Cooperstein's book: Advanced Linear Algebra ... ...

I am focused on Section 1.3 Vector Spaces over an Arbitrary Field ...

I need help with Exercise 1 of Section 1.3 ...

Exercise 1 reads as follows:View attachment 5107Although apparently simple, I cannot solve this one and would appreciate help ...

Peter*** EDIT ***

To give MHB readers an idea of Cooperstein's notation and approach I am providing Cooperstein's definition of a vector space ... as follows:View attachment 5108
 
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  • #2
$0 = 0 + 0$ (A3)
$c0 = c(0 + 0)$ (multiplying both sides by $c$)
$c0 = c0 + c0$ (M1)
$c0 + (-c0) = (c0 + c0) + (-c0)$ (adding $-c0$, which exists by A4, to both sides)
$0 = (c0 + c0) + (-c0)$ (A4, again, on the LHS))
$0 = c0 + (c0 + -(c0))$ (A2, on the RHS)
$0 = c0 + 0$ (A4)
$0 = c0$ (A3).

The crux of this argument has its origins in a similar theorem from group theory:

In a group $(G,\ast)$ if $a\ast a = a$, then $a = e$. The only part of it that is "vector-y" is where we invoke M1 to write $c0$ as $c0 + c0$. This is an oft-used type of proof, for example in the real numbers, to show $x = 0$, it suffices to show that $x = 2x$, and in the non-zero reals, if $t$ is a root of $t^2 - t$, then $t = 1$ (we have to exclude $t = 0$ from the reals to get a *group* as $0$ has no multiplicative inverse).
 
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  • #3
Deveno said:
$0 = 0 + 0$ (A3)
$c0 = c(0 + 0)$ (multiplying both sides by $c$)
$c0 = c0 + c0$ (M1)
$c0 + (-c0) = (c0 + c0) + (-c0)$ (adding $-c0$, which exists by A4, to both sides)
$0 = (c0 + c0) + (-c0)$ (A4, again, on the LHS))
$0 = c0 + (c0 + -(c0))$ (A2, on the RHS)
$0 = c0 + 0$ (A4)
$0 = c0$ (A3).
Thanks Deveno ...

hmm ... easy to follow the solution ... but not so easy to dream up or create solution ... :(

Thanks again for the help ... much appreciated ...

Peter
 

FAQ: Basic equation in Vector Space - Cooperstein Exercise 1, Section 1.3

What is a basic equation in vector space?

A basic equation in vector space is a mathematical representation of a vector or set of vectors in a given vector space. It typically involves addition, subtraction, and scalar multiplication operations on vectors.

How do you determine if an equation is in vector space?

An equation is considered to be in vector space if it satisfies the properties of closure, associativity, commutativity, identity element, and inverse element for addition and scalar multiplication. These properties ensure that the equation follows the rules of vector space operations.

What is the purpose of Cooperstein Exercise 1 in Section 1.3?

The purpose of Cooperstein Exercise 1 in Section 1.3 is to practice applying the basic equations and properties of vector space to solve mathematical problems. It also helps to develop a deeper understanding of vector space concepts and their applications.

How is vector space different from regular Euclidean space?

Vector space is a more general mathematical concept that includes Euclidean space as a special case. Euclidean space is a three-dimensional space that we are familiar with in everyday life, while vector space can have any number of dimensions and does not necessarily have a physical interpretation.

Can basic equations in vector space be applied to real-world problems?

Yes, basic equations in vector space are widely used in various fields of science and engineering to solve real-world problems. For example, in physics, vector space equations are used to calculate the velocity and acceleration of an object, while in computer graphics, they are used to manipulate and transform images.

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