Representing Operators as Matrices and Differential Operators

In summary, the conversation discusses the representation of operators in continuous bases, specifically in the context of the kinetic energy operator T. It is possible to write T in terms of differential operators in a continuous basis, and the same logic applies. The energy eigenstates can also be used as a basis, but this is only possible for bound states. Nonetheless, any hermitian operator can be expanded using energy eigenstates as well as other observable eigenstates.
  • #1
aaaa202
1,169
2
An operator A defined by a matrix can be written as something like:

A = Ʃi,jlei><ejl <eilAlej>

How does this representation translate to a continuous basis, e.g. position basis, where operators are not matrices but rather differential operators etc. Can we still write for e.g. the kinetic energy operator T:

T = ∫∫dr dr' lr'><rl <r'lTlr>

? Or how would T be represented.
 
Physics news on Phys.org
  • #2
I know there are some subtleties to shifting to a continuous basis, but basically yes. You change [itex]\Sigma[/itex]'s into [itex]\int[/itex]'s, and then all the same logic goes through. [itex]T[/itex] becomes a "matrix" with an infinite number of rows and columns, which you could think of as a function [itex]T(q_1, q_2)[/itex].
 
  • #3
The energy eigenstates form a countable basis. Would it be possible to do the above expansion in those rather than position eigenstates?
 
  • #4
^ The eigenstates of the Hamiltonian form a countable basis only if all the states are bound states, like in a harmonic oscillator. For example, the bound states of hydrogen atom form a discrete set, but the system also has a continuous spectrum of scattering states which have positive total energy. The continuous spectrum is not a countable set.
 
  • #5
but either way you can expand any operator in energy just as well as position eigenstates right? or any other observables eigenstates..
 
  • #6
^ Yes, the eigenstates of any hermitian operator form a complete basis.
 

What are operators and how are they represented as matrices?

Operators are mathematical symbols or functions that operate on a set of values to produce a result. They can be represented as matrices by considering each operator as a transformation of a vector space. The columns of the matrix represent the basis vectors of the vector space, and the rows represent the coefficients of the transformation.

What is the connection between operators and differential equations?

Operators play a crucial role in differential equations. Differential operators, such as the derivative or gradient, are used to represent the rates of change or spatial variations in a system. By representing these operators as matrices, we can solve differential equations using linear algebra techniques.

How are differential operators represented as matrices?

Differential operators can be represented as matrices by discretizing the continuous operators into a set of finite difference operators. This involves dividing the domain into a grid of points and approximating the derivative at each point. The resulting matrix represents the differential operator acting on the discretized function.

What is the advantage of representing operators as matrices?

Representing operators as matrices allows us to use powerful linear algebra techniques to solve mathematical problems. This includes finding eigenvalues and eigenvectors, solving linear systems of equations, and performing matrix operations. It also allows us to apply numerical methods to solve differential equations, which would be difficult to solve analytically.

Can all operators be represented as matrices?

Not all operators can be represented as matrices. Only linear operators can be represented as matrices, as they follow the properties of linearity. Non-linear operators, such as trigonometric functions, cannot be represented as matrices. However, they can still be approximated using numerical methods.

Similar threads

  • Quantum Physics
Replies
2
Views
1K
  • Quantum Physics
Replies
21
Views
2K
Replies
14
Views
1K
Replies
1
Views
961
  • Quantum Physics
Replies
3
Views
1K
Replies
8
Views
1K
Replies
9
Views
1K
Replies
16
Views
2K
Replies
3
Views
1K
Replies
1
Views
1K
Back
Top