How to start this Vector Space Property Proof?

In summary: Yes, that's right. You are deducing what you need from the axioms, or earlier results that you have already proven.
  • #1
RJLiberator
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Homework Statement


Let |v> ∈ V with |v> ≠ |0>, and let λ, μ ∈ ℂ.
Prove that if λ|v> = μ|v>, then λ = μ

Homework Equations


Vector Space Axioms

The Attempt at a Solution


I am struggling to begin with this one.
I can think of tons of different ways to begin, but all seem to get into a hazy area where I am unsure.
I could start by adding or "subtracting" from both sides λ|v> or by adding 0 to both sides, or any other traditional proof ways.

Is there any hint to help me go in the right direction?
 
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  • #2
RJLiberator said:

Homework Statement


Let |v> ∈ V with |v> ≠ |0>, and let λ, μ ∈ ℂ.
Prove that if λ|v> = μ|v>, then λ = μ

Homework Equations


Vector Space Axioms

The Attempt at a Solution


I am struggling to begin with this one.
I can think of tons of different ways to begin, but all seem to get into a hazy area where I am unsure.
I could start by adding or "subtracting" from both sides λ|v> or by adding 0 to both sides, or any other traditional proof ways.

Is there any hint to help me go in the right direction?

PF rules: show us your attempt first, then we are allowed to give hints.
 
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  • #3
Thanks for the reply.

I can give you a first attempt, I have many disaster steps.
It should be a simple proof, I am just seemingly taking the wrong first steps.

λ|v> = μ|v> (this is what we have)
First step is the challenging part: I don't know, let's try adding λ|v> to both sides.
λ|v> + λ|v> = μ|v> + λ|v>
(λ+λ)|v> = (μ+λ) |v>
Now we see that λ+λ = μ+λ
And so with simple subtraction we get λ = μ

Is that a correct way of doing it? I feel like I am skidding by something here...
 
  • #4
RJLiberator said:
Thanks for the reply.

I can give you a first attempt, I have many disaster steps.
It should be a simple proof, I am just seemingly taking the wrong first steps.

λ|v> = μ|v> (this is what we have)
First step is the challenging part: I don't know, let's try adding λ|v> to both sides.
I would suggest subtracting μ|v> from both sides (or adding -μ|v> to both sides).
This would give you λ|v> - μ|v> = |0>
(I have to admit, I'm not very familiar with this notation. It seems to be used more by physicists than by mathematicians, AFAIK.)
RJLiberator said:
λ|v> + λ|v> = μ|v> + λ|v>
(λ+λ)|v> = (μ+λ) |v>
Now we see that λ+λ = μ+λ
And so with simple subtraction we get λ = μ

Is that a correct way of doing it? I feel like I am skidding by something here...
 
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  • #5
If I were to subtract, the proof looks as follows:
λ|v> = μ|v>
λ|v> - μ|v> = μ|v> - μ|v>
λ|v> - μ|v> = 0

But isn't this essentially what we started with?
How do we go from here to prove that λ = μ ?
Do we say:

λ|v> - μ|v> = 0
(λ-μ)|v> = 0 and since v ≠ 0 then λ-μ must = 0, and so it follows that λ = μ.

That seems like a correct path! Excellent.

It's as if my proof writing abilities are increased tenfold when I write a post on Physics Forums.
 
  • #6
RJLiberator said:
Thanks for the reply.

I can give you a first attempt, I have many disaster steps.
It should be a simple proof, I am just seemingly taking the wrong first steps.

λ|v> = μ|v> (this is what we have)
First step is the challenging part: I don't know, let's try adding λ|v> to both sides.
λ|v> + λ|v> = μ|v> + λ|v>
(λ+λ)|v> = (μ+λ) |v>
Now we see that λ+λ = μ+λ
And so with simple subtraction we get λ = μ

Is that a correct way of doing it? I feel like I am skidding by something here...

No: if you have not yet proven that ##\lambda |v \rangle = \mu |v \rangle \Longrightarrow \lambda = \mu##, then you have no reason to suppose that
## (\lambda + \lambda) |v \rangle = (\lambda + \mu) |v \rangle \Longrightarrow \lambda + \lambda = \lambda + \mu##. Basically, you are just assuming the result you want to prove.
 
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  • #7
@Ray Vickson , How about this last part that I concluded off of Mark's hint

If we have (λ-μ) |v> = 0
and since |v> ≠0, we can say (λ-μ) must equal 0, correct?

Or is this still assuming the result?
 
  • #8
RJLiberator said:
@Ray Vickson , How about this last part that I concluded off of Mark's hint

If we have (λ-μ) |v> = 0
and since |v> ≠0, we can say (λ-μ) must equal 0, correct?
Correct. You that λ|v> - μ|v> = (λ-μ) |v> because of one of the vector space axioms that pertain to scalar multiplication.
RJLiberator said:
Or is this still assuming the result?
Assuming the result would be assuming that λ = μ.
 
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  • #9
RJLiberator said:
@Ray Vickson , How about this last part that I concluded off of Mark's hint

If we have (λ-μ) |v> = 0
and since |v> ≠0, we can say (λ-μ) must equal 0, correct?

Or is this still assuming the result?

No, probably not, provided you have already proven that ##c |v\rangle = |0 \rangle## implies ##c = 0##, or else have assumed it as an axiom.
 
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  • #10
Ah, I see the difference.

In my first proof we had λ+λ = λ+μ
Where I was assuming the result.

In this last proof we have λ-μ = 0
Where we are not assuming anything here, we are showing what is needed.
 

1. What is the Vector Space Property?

The Vector Space Property is a mathematical concept that describes the properties of a set of vectors in a vector space. It includes properties such as closure, commutativity, associativity, and distributivity.

2. How do I know if a set of vectors has the Vector Space Property?

In order for a set of vectors to have the Vector Space Property, it must satisfy the following conditions:

  1. It must contain a zero vector.
  2. It must be closed under vector addition.
  3. It must be closed under scalar multiplication.
  4. It must satisfy the properties of commutativity, associativity, and distributivity.
If a set of vectors meets all of these conditions, it has the Vector Space Property.

3. How do I prove that a set of vectors has the Vector Space Property?

To prove that a set of vectors has the Vector Space Property, you must show that it satisfies all of the conditions mentioned in the previous question. This can be done by using mathematical definitions and properties, as well as specific examples to illustrate the properties.

4. What are some common examples of sets that have the Vector Space Property?

Some common examples of sets that have the Vector Space Property include:

  • The set of all real numbers.
  • The set of all complex numbers.
  • The set of all n-tuples of real numbers.
  • The set of all polynomials with real coefficients.

5. What are some practical applications of the Vector Space Property?

The Vector Space Property has many practical applications in various fields of science and engineering. Some examples include:

  • In physics, the Vector Space Property is used to describe the movement and interactions of objects in space.
  • In computer graphics, the Vector Space Property is used to represent and manipulate images and 3D models.
  • In machine learning and data analysis, the Vector Space Property is used to process and analyze large datasets.
  • In economics and finance, the Vector Space Property is used to model and predict market trends and behaviors.

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