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Master Dissertation

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Chapter 1<br />

Introductory Theory<br />

1.1 Notation<br />

I will mostly adopt the notation used in [4], but for convenience there will be<br />

some differences in the notation of a distribution. Whereas we in [4] used to<br />

write a distribution u acting on a test-function φ in the functional manner<br />

u(φ) I will in this project use the “inner product” notation 〈u, φ〉.<br />

Also note that I will use the definition of the fourier transform found in<br />

[4] rather than the one found in [6]. This will only result in some differences<br />

in the factors.<br />

I will occasionally use Einstein notation along with the convention that<br />

indices from the Greek alphabet take the values 0, 1, 2, 3 and indices from<br />

the Latin alphabet take the values 1, 2, 3.<br />

By a t-dependent operator O(t) : E → F we mean an indexed family of<br />

operators {O(t)}t∈R all from E to F .<br />

Given a t-dependent operator O(t) : E → F . We write O = s- limt→∞ O(t)<br />

if it converges in the strong operator topology to an operator O. That is, if<br />

Oφ = lim<br />

t→∞ (O(t)φ) for all φ ∈ E.<br />

Beware of the many meanings of the symbol δ. Usually it means the<br />

Dirac delta-distribution, but it is also used as a small real, the Kronecker<br />

symbol δi,j and the diagonal map. It should be transparent from the context<br />

which meaning the symbol has.<br />

For convenience I have listed some general notation on the next page:<br />

6

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