Equivalent vectors in a Hilbert space

In summary, vectors in Hilbert space represent equivalence classes of functions that are considered equivalent if they differ only on a set of Lebesgue measure 0. This means that even though two functions may have the same square integral, they can still have different probability predictions and thus represent different physical states. The wording of Griffith's footnote in his introduction to quantum mechanics is incorrect, but the concept of equivalence classes in Hilbert space remains valid.
  • #1
bob900
40
0
In Griffith's intro to QM it says on page 95 (in footnote 6) :

"In Hilbert space two functions that have the same square integral are considered equivalent. Technically, vectors in Hilbert space represent equivalence classes of functions."

But that means that if we take for example

f(x) = 1 | 0 < x < 1

and

g(x) = [itex]\sqrt{1/10}[/itex] | 0 < x < 10

both f(x) and g(x) have the same square integral ∫|f(x)|^2 dx = ∫|g(x)|^2 dx = 1

But how can they be considered "equivalent" - if they are wavefunctions for a particle, for example, then they represent completely different probability predictions! f(x) says you can find a particle with equal probability in [0,1], while for g(x) it's [0,10]
 
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  • #2
Either Griffith is wrong or you must have misunderstood something, but that statement is clearly untrue.

Vectors in the hilbert space describe the same state if they are related by multiplication of a nonzero complex number. That means physical states are really rays in the hilbert space. Mathematically this is the projective space H/~ where ~ is the equivalence relation that identifies identical states.
 
  • #3
It's a very unfortunate statement, to say the least. It should be a transcription of Jazzdude's 2nd paragraph in post #2 in terms of a specific Hilbert space (L^2(over what??)), but it's wrongly worded.

Scratch that and get a better book.

P.S. There's no footnote on page 95 of my version of Griffiths (1995, 1st edition I guess).
 
  • #4
dextercioby said:
P.S. There's no footnote on page 95 of my version of Griffiths (1995, 1st edition I guess).

Here it is :

2e3z8cp.png
 
  • #5
So...A vector space has to have a null vector. If L2(-inf,+inf) functions form the vector space, the only null vector is the f(x) = 0 function.

But also for any vector space, <f|f> has to be >0 for any non null vector. And yet, here
for a function like

g(x) = 1 | x=1
g(x) = 0 | everywhere else

(and other such functions)

<g|g>=0 even though clearly g is not a null vector.

So either we exclude functions like g from the vector space, or we define the vector space to be the set of equivalence classes of functions (where all functions like g would be the same class). But what is the precise formulation/definition of such an equivalence relation?
 
  • #6
bob900 said:
So either we exclude functions like g from the vector space, or we define the
vector space to be the set of equivalence classes of functions (where all
functions like g would be the same class). But what is the precise
formulation/definition of such an equivalence relation?
The functions are "equivalent" if they differ only on a set of Lebesgue measure 0.
(Isolated points in the domain of a function are of measure 0.)

See also:
http://en.wikipedia.org/wiki/Lebesgue_integral
http://en.wikipedia.org/wiki/Lebesgue_measure

P.S., The wording of Griffith's footnote
Griffiths said:
In Hilbert space two functions that have the same square integral are considered equivalent.
is wrong. But,
Griffiths said:
Technically, vectors in Hilbert space represent equivalence classes of functions.
is ok.
 
  • #7
The correct statement should be: f is equivalent to g if ∫|f-g|2dx = 0.
 

Related to Equivalent vectors in a Hilbert space

What is a Hilbert space?

A Hilbert space is a mathematical concept in functional analysis that refers to a complete vector space with an inner product defined on it. It is named after the German mathematician David Hilbert.

What are equivalent vectors in a Hilbert space?

Equivalent vectors in a Hilbert space are those that have the same length and direction, but may have different starting points. In other words, they are parallel to each other and can be transformed into one another through a translation operation.

How are equivalent vectors related to orthogonal vectors?

Equivalent vectors in a Hilbert space are also known as orthogonal vectors. This is because, in a Hilbert space, orthogonal vectors are defined as those that are perpendicular to each other and have a dot product of 0. Therefore, equivalent vectors can be thought of as orthogonal vectors that have been translated to a different position.

What is the significance of equivalent vectors in a Hilbert space?

The concept of equivalent vectors in a Hilbert space is important in physics and engineering, as it allows for the representation of physical quantities that have both magnitude and direction. It also helps in simplifying mathematical calculations and making them more intuitive.

How can equivalent vectors be represented mathematically in a Hilbert space?

In a Hilbert space, equivalent vectors can be represented as linear combinations of a set of basis vectors. These basis vectors are orthogonal to each other and form a complete set that can be used to describe any vector in the space. The coefficients in the linear combination represent the magnitude and direction of the vector.

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