Linear Operators: Are They Inverse & Adjoint?

In summary, a linear operator is a mathematical function that preserves addition and scalar multiplication when mapping one vector space to another. Two linear operators are considered inverse if they "undo" each other and result in the identity operator. To determine if two linear operators are inverse, the concept of the inverse matrix can be used. The adjoint of a linear operator can be thought of as the "transpose" of the original operator and can be found by taking the conjugate transpose of the matrix representation of the operator.
  • #1
Squirtle
5
0

Homework Statement



Consider the following operators acting in the linear space of functions Ψ(x) defined on
the interval (∞,∞)
(a) Shift Ta: TaΨ(x)=Ψ(x+a), a is a constant
(b) Reflection (inversion) I: IΨ(x)=Ψ(x)
(c) Scaling Mc: McΨ(x)= √c Ψ(cx), c is a constant
(d) Complex conjugation K: KΨ(x)=Ψ∗(x)

Are these operators linear? Find their adjoint operators. Find their inverse operators

Homework Equations



Linear operator if:
i) kT(f) = T(kf)
ii) T(f+k) = T(f) + T(k)

The Attempt at a Solution


I don't understand how to apply the linear operator conditions to these problems. Could someone explain to me a) or an example? I don't see how I can claim or prove (if right) TaΨ(x+b)=Ψ(x+a+b)

Homework Statement


Homework Equations


The Attempt at a Solution

 
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  • #2
Squirtle said:

Homework Statement



Consider the following operators acting in the linear space of functions Ψ(x) defined on
the interval (∞,∞)
(a) Shift Ta: TaΨ(x)=Ψ(x+a), a is a constant
(b) Reflection (inversion) I: IΨ(x)=Ψ(x)
(c) Scaling Mc: McΨ(x)= √c Ψ(cx), c is a constant
(d) Complex conjugation K: KΨ(x)=Ψ∗(x)

Are these operators linear? Find their adjoint operators. Find their inverse operators

Homework Equations



Linear operator if:
i) kT(f) = T(kf)
ii) T(f+k) = T(f) + T(k)

The Attempt at a Solution


I don't understand how to apply the linear operator conditions to these problems. Could someone explain to me a) or an example? I don't see how I can claim or prove (if right) TaΨ(x+b)=Ψ(x+a+b)
You're using k in two different ways in your definition of linear. It would be better if you used distinct symbols:
\begin{align*}
cT(f) &= T(cf) \\
T(f+g) &= T(f)+T(g)
\end{align*} where c is a (scalar) constant and f and g are elements of the vector space.

In these problems, the operators act on the functions in the given space, so you have f(x)=ψ(x) and g(x)=φ(x). You want to show that
\begin{align*}
T[c\psi] &= cT[\psi] \\
T[\psi+\phi] &= T[\psi]+T[\phi]
\end{align*} For part (a), for example, you need to show, in part, that ##T_a[c\psi]## and ##cT_a[\psi]## are equal. ##T_a[c\psi]## means you take the function ##c\psi## and translate it by a. That is, ##T_a[c\psi](x) = (c\psi)(x+a) = c\psi(x+a)##. The last equality relies on the definition of what it means to multiply the function ##\psi## by c. ##cT_a[\psi]## means you translate the function ##\psi## by a and then multiply it by c. That is, ##cT_a[\psi](x) = c[\psi(x+a)] = c\psi(a+x)##. Since ##T_a[c\psi]## and ##cT_a[\psi]## both map x to ##c\psi(a+x)## for all x, you can conclude they are equal.

Intuitively, in one case, you scale the function by c and then translate the result; in the other, you translate it first and then scale it. You should be able to convince yourself that the order doesn't matter here, so the two sides of the equation should be equal.
 
  • #3
Thank you I understand that part now.

Now for the other parts :(
 
  • #4
You also need to do the second half of part (a).
 
  • #5
Squirtle said:
Now for the other parts :(
Careful, you don't want to sound like you want to someone else to do all the work for you. :wink:

The parts are all very simillar. For example, for part b), you need to show that for all real numbers a,b, and all ##f,g## in the vector space, we have ##I(af+bg)=aIf+bIg##. This isn't hard. Note that this equality says the same thing as the statement "For all real numbers x, ##I(af+bg)(x)=(aIf+bIg)(x)##". Can you prove that?

By the way, are you sure you got the definition of ##I## right? I would call this operator the identity operator, not reflection or inversion. Is there a minus sign missing?
 
  • #6
So sorry, I meant i understood how to finish the rest for proving if they were linear. I worked the rest and seemed to get equivalent expressions for them all, I assume that meant I did it right.

I am confused on the adjoint and inverse part of the question.

The reflection question should have a minus sign.

Thanks for still helping me though. I much appreciate you guys.

The inverse opeartor is UU* = I(?)
 
  • #7
For (d), it depends on the allowed values of c. Is c a complex quantity or restricted to only real values?
 
  • #8
vela said:
For (d), it depends on the allowed values of c. Is c a complex quantity or restricted to only real values?

I believe its complex value as well.

I was looking at that one and wasn't sure if I did this right.

K(cY)(x) = (cY)(x*) = cY(x*)

Would that be the way it reduces down?

Or would it be:

cY*(x) ?

Why would c effect it? I did read that this one isn't always linear, but didn't want to trust a yahoo question answer, but you brought up the same point.
 
  • #9
Remember the operator K acts on the function to give you a new function, so it takes the function ##(c\psi)## to ##(c\psi)^*##. It doesn't act on the argument of the function, x.
 
  • #10
vela said:
Remember the operator K acts on the function to give you a new function, so it takes the function ##(c\psi)## to ##(c\psi)^*##. It doesn't act on the argument of the function, x.

Awesome ty, I was able to get it now :)
I see the problem with c as well now.

I managed to figure out the adjoint/inverse stuff so thank you all very much for the help. I've very slow at this stuff.
 

FAQ: Linear Operators: Are They Inverse & Adjoint?

What is a linear operator?

A linear operator is a mathematical function that maps one vector space to another, preserving the operations of addition and scalar multiplication. It can be represented as a matrix or a function.

What does it mean for two linear operators to be inverse?

Two linear operators are inverse if they "undo" each other when applied in succession. In other words, if the composition of the two operators results in the identity operator (the operator that leaves every vector unchanged), then they are inverse.

How can I determine if two linear operators are inverse?

To determine if two linear operators are inverse, you can use the concept of the inverse matrix. If the matrix representation of the two operators are inverses, then the operators themselves are also inverses.

What is the adjoint of a linear operator?

The adjoint of a linear operator is a related operator that can be thought of as the "transpose" of the original operator. It can also be defined as the operator that satisfies a certain inner product property with respect to the original operator.

How can I find the adjoint of a linear operator?

The adjoint of a linear operator can be found by taking the conjugate transpose of the matrix representation of the operator. In other words, replace each element of the matrix with its complex conjugate and then take the transpose.

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