Commutation and Non-Linear Operators

In summary: It has to be admitted, the standard notation is a little confusing because ##\langle A \rangle## depends on ##\mathbf x## even though that does not appear anywhere in the notation.
  • #1
MisterX
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Suppose ##A## is a linear operator ##V\to V## and ##\mathbf{x} \in V##. We define a non-linear operator ##\langle A \rangle## as $$\langle A \rangle\mathbf{x} := <\mathbf{x}, A\mathbf{x}>\mathbf{x}$$

Can we say ## \langle A \rangle A = A\langle A \rangle ##? What about ## \langle A \rangle B = B\langle A \rangle ## ?

More generally if we have ##Q\mathbf{x} = q(\mathbf{x}) \mathbf{x}## with scalar function ##q##, when does ##AQ=QA ## ? I assert we can choose ##A, Q## such that this is false.
 
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  • #2
MisterX said:
Can we say ## \langle A \rangle A = A\langle A \rangle ##? What about ## \langle A \rangle B = B\langle A \rangle ## ?
The way to test this is to expand ##(\langle A\rangle B)\mathbf x = \langle A \rangle (Bx)## and ##(B\langle A\rangle)\mathbf x = B( \langle A \rangle x)## using your definitions above to see whether they give exactly the same result.
 
  • #3
I guess I am not sure about the use of the associative property here. But ignoring this it seems
## \langle A \rangle (B\mathbf {x}) = <B\mathbf {x}, AB\mathbf {x}>B\mathbf {x} ## and ##B( \langle A \rangle \mathbf {x})= <\mathbf {x}, A \mathbf {x}>B\mathbf {x}\neq \langle A \rangle (B\mathbf {x}) ##.

This is troubling to me because this step seems to be used in the proof of Heisenberg's uncertainty principle. Sources claim $$[A-\langle A \rangle, \, B- \langle B \rangle ] = [A,\,B] $$
I guess now am not sure if this is true and why.
 
  • #4
That's because in that Heisenberg formula ##\langle A\rangle## is a scalar, not a nonlinear operator. The only similarity with this problem is the use of angle bracket symbols, but you have used them to mean something completely different from what Heisenberg means by them.

Where did you get the notion that ##\langle A\rangle## is a nonlinear operator?
 
  • #5
andrewkirk said:
That's because in that Heisenberg formula ##\langle A\rangle## is a scalar, not a nonlinear operator. The only similarity with this problem is the use of angle bracket symbols, but you have used them to mean something completely different from what Heisenberg means by them.

Where did you get the notion that ##\langle A\rangle## is a nonlinear operator?
Are you asserting that ##\langle A\rangle## is not 2nd order in ##\mathbf{x}##? Doesn't the average of an operator depend on the state on which it acts?
 
  • #6
MisterX said:
Doesn't the average of an operator depend on the state on which it acts?
That's right. To be precise, ##\langle A \rangle## denotes the scalar value ##\langle \mathbf x\ |\ A\ |\ \mathbf x\rangle## where ##\mathbf x## is the current state.

But ##\langle A \rangle## denotes the scalar result, not an operator. It is only an operator in the sense that scalar multiplication is a linear operation. If that is the meaning in your OP then the answers are, treating ##\langle A \rangle## as the linear operator that pre-multiplies any vector ##\mathbf y## by the scalar ##\langle A \rangle## (which is ##\langle \mathbf x\ |\ A \ |\ \mathbf x\rangle##), that both of the following are true:
  • ##\langle A\rangle A= A\langle A\rangle##
  • ##\langle A\rangle B= B\langle A\rangle##
since scalar multiplication commutes with any linear operator.

But we need to note that ##\langle A\rangle A \mathbf y## is
##\langle \mathbf x\ |\ A \ |\ \mathbf x\rangle A\mathbf y##
not
##\langle \mathbf y\ |\ A \ |\ \mathbf y\rangle A\mathbf y##

It has to be admitted, the standard notation is a little confusing because ##\langle A \rangle## depends on ##\mathbf x## even though that does not appear anywhere in the notation.
 
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Related to Commutation and Non-Linear Operators

1. What is the difference between commutation and non-linear operators?

Commutation and non-linear operators are both mathematical operations that act on a set of variables. The main difference is that commutation operators involve the rearrangement of variables, while non-linear operators involve the transformation of variables through non-linear functions.

2. How are commutation and non-linear operators used in scientific research?

Commutation and non-linear operators are essential tools in mathematical modeling and data analysis in scientific research. They help to describe and understand complex systems and relationships between variables.

3. Can commutation and non-linear operators be used interchangeably?

No, commutation and non-linear operators have distinct properties and operate differently. While commutation operators are linear and can be applied in any order, non-linear operators are not necessarily linear and must be applied in a specific order to achieve accurate results.

4. What are some examples of commutation and non-linear operators?

Some examples of commutation operators include the derivative and integral operators, while examples of non-linear operators include logarithmic, exponential, and trigonometric functions.

5. How do commutation and non-linear operators impact the accuracy of scientific models?

The use of commutation and non-linear operators can greatly impact the accuracy of scientific models. Non-linear operators can introduce complexity and non-linearity into models, which can better reflect real-world systems. However, this can also lead to more challenging mathematical analysis and may require additional assumptions and approximations to achieve accurate results.

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