Quick proof regarding inner products

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In summary, if <x,y> = <x,z> for all x in V, then it can be proved that y = x by setting x = (y-z) and using the properties of inner products. This is because the difference between y and z must be a null vector, thus proving that y and z are equal.
  • #1
JG89
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Homework Statement



Let V be an inner product space. If <x,y> = <x,z> for all x in V, then prove that y = x.


Homework Equations





The Attempt at a Solution



Since V is a vector space, it follows that (y - z) is an element of V. Since <x,y> = <x,z> for ALL x, we put x = (y-z). Then we have <y - z, y> - <y - z, z> = 0. Since inner products are conjugate linear in the second component, we can write:

<y - z, y> - <y - z, z> = <y -z, y - z> = 0. I know that in general <w,w> = 0 if and only if w = 0. Thus we must have y - z = 0, implying that y = z.

Is this correct?
 
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  • #2
I think that you lose generality if you put x=(y-z).
Probably the proof applies then to that particular case.
Anyway, there is my proof:

1. y = z + w
2. (x, z + w) = (x, z)
3. (x, z) + (x, w) = (x, z)
4. (x, w) = 0

now, since x can be any vector, the difference between y and z,
namely w, must be a null vector and so y and z are equal.

P.S. In the question you are asked to prove x=y
but then you prove z=y so I guess there is a typo.

---
 
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  • #3
JG89 said:

Homework Statement



Let V be an inner product space. If <x,y> = <x,z> for all x in V, then prove that y = x.


Homework Equations





The Attempt at a Solution



Since V is a vector space, it follows that (y - z) is an element of V. Since <x,y> = <x,z> for ALL x, we put x = (y-z). Then we have <y - z, y> - <y - z, z> = 0. Since inner products are conjugate linear in the second component, we can write:

<y - z, y> - <y - z, z> = <y -z, y - z> = 0. I know that in general <w,w> = 0 if and only if w = 0. Thus we must have y - z = 0, implying that y = z.

Is this correct?

Your proof is just fine.
 
  • #4
Thanks Dick.
 

1. What is an inner product?

An inner product is a mathematical operation that takes two vectors and outputs a scalar value. It is often denoted by ⟨x,y⟩ and is used to measure the angle between two vectors, as well as the length of a vector.

2. How is an inner product calculated?

The inner product is calculated by taking the dot product of two vectors, then multiplying it by the cosine of the angle between the two vectors. Mathematically, it can be represented as ⟨x,y⟩ = ||x|| * ||y|| * cos(θ), where θ is the angle between x and y.

3. What are the properties of an inner product?

The properties of an inner product include linearity in the first slot, symmetry, and positive definiteness. Linearity in the first slot means that the inner product of a vector with a linear combination of other vectors is equal to the same linear combination of the inner products of the original vector with each individual vector. Symmetry means that ⟨x,y⟩ = ⟨y,x⟩ for all vectors x and y. Positive definiteness means that ⟨x,x⟩ is always greater than or equal to zero, and is equal to zero only when x is the zero vector.

4. What is the significance of inner products?

Inner products are significant in many areas of mathematics and physics. They are used to define the concept of orthogonality, which is crucial in vector spaces and linear algebra. They are also used in the definitions of important concepts such as norms, angles, and projections. In physics, inner products are used in defining work, energy, and power in terms of force and displacement.

5. Can any two vectors have an inner product?

No, not all vectors have an inner product. The inner product is only defined for vectors in an inner product space, which is a vector space equipped with an inner product. Examples of inner product spaces include Euclidean spaces and Hilbert spaces. Vectors in other types of vector spaces, such as discrete vector spaces, do not have an inner product.

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