Lecture 4.3: Self-adjoint linear operators Matthew Macauley - - PowerPoint PPT Presentation

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Lecture 4.3: Self-adjoint linear operators Matthew Macauley - - PowerPoint PPT Presentation

Lecture 4.3: Self-adjoint linear operators Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 4340, Advanced Engineering Mathematics M. Macauley (Clemson) Lecture 4.3:


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Lecture 4.3: Self-adjoint linear operators

Matthew Macauley Department of Mathematical Sciences Clemson University http://www.math.clemson.edu/~macaule/ Math 4340, Advanced Engineering Mathematics

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 1 / 7

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Why self-adjoint operators are nice

Definition

Let V be a vector space with inner product −, −. A linear operator L: V → V is self-adjoint if Lf , g = f , Lg, for all f , g ∈ V .

Theorem

If L is a self-adjoint linear operator, then: (i) All eigenvalues of L are real. (ii) Eigenfunctions corresponding to distinct eigenvalues are orthogonal.

Proof

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 2 / 7

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A one-variable example

Remark

The linear operator L = d2 dx2 = ∂2

x on the space C∞[0, 1] is not self-adjoint.

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 3 / 7

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Dirichlet vs. Neumann boundary conditions

Proposition

The linear operator L = d2 dx2 = ∂2

x on either of the subspaces

C∞

0 [a, b] :=

  • f ∈ C∞[a, b] : f (a) = f (b) = 0
  • C∞

⊥ [a, b] :=

  • f ∈ C∞[a, b] : f ′(a) = f ′(b) = 0
  • is self-adjoint.
  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 4 / 7

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Mixed boundary conditions

Proposition

The linear operator L = d2 dx2 = ∂2

x on the subspace

C∞

α,β[a, b] :=

  • f ∈ C∞[a, b] : α1f (a) + α2f ′(a) = 0,

β1f (b) + β2f ′(b) = 0

  • ,

where α2

1 + α2 2 > 0 and β2 1 + β2 2 > 0, is self-adjoint.

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 5 / 7

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A multivariate example

Theorem

Let R ⊂ Rn be a bounded region with a smooth boundary B. Then the Laplacian operator ∆ = ∇2 :=

n

  • i=1

∂2 ∂x2

i

=

n

  • i=1

∂2

xi

is self-adjoint on the space V = C∞

0 (R) of infinitely differentiable functions that vanish on B.

The eigenfunctions of ∇2 are solutions to the PDE ∇2f = λf , called the Helmholtz equation.

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 6 / 7

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An example from quantum mechanics

Definition

The Hamiltonian is a self-adjoint operator, defined by H = − 2m ∇2 + V . This describes the energy of a particle of mass m in a real potential field V . The eigenfunctions ψ of H represent the stationary quantum states, and the eigenvalues E describe the energy levels of these states. They are solutions to the following PDE, called Schr¨

  • dinger equation:

Hψ = Eψ.

  • M. Macauley (Clemson)

Lecture 4.3: Self-adjoint linear operators Advanced Engineering Mathematics 7 / 7