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Mathematical Review

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The traditional definition of a (x) function is a function that is zero ... Excercise. In a distribution(generalized function sense) Function in higher dimensions ... – PowerPoint PPT presentation

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Title: Mathematical Review


1
Mathematical Review
2
Partial Derivatives
3
  • The partial derivative w.r.to x assumes that we
    hold y constant

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Total variation of a function F(x,y)
6
  • The traditional definition of a ?(x) function is
    a function that is zero everywhere except at x0
    where it is infinite in such away that


  • (1)

7
  • Now this is mathematical nonsense
  • It is impossible to introduce a rigorous
    mathematical theory of integration where the
    value of the integrand at one point can affect
    the integral.
  • It is possible to put the ? function on a
    rigorous mathematical basis by treating it as a
    distribution or generalized function i.e.

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Square integrable functions
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Square integrable

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Square integrable
exists

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Square integrable

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  • However the best way to think of the delta
    function is that it is an integral waiting to
    happen.

14
  • For example it is straightforward to establish
    quite rigourously the Fourier integral theorem

(2)
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  • And one may define

(3)
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  • With the understanding that it will eventually be
    integrated over x

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Another representation
(4)
Where it is understood that the limit
will be taken after the integration
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(5)
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  • Consider

(6)
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  • Consider

Break integral in 3
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(7)
Cauchy Principal value
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Consequently
(8)
Feynman integral relation
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Another Example
  • Now integrate by parts assuming that

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Consequently we can define a new generalized
function
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Excercise
  • In a distribution(generalized function sense)

27
? Function in higher dimensions
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Spherical Coordinates(r,?,F)
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Spherical Coordinates(r,?,F)
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Recall
(3)
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hence
  • And one may define

32
  • vector space, consists of a set of vectors
  • agt,bgt,cgt, s.t.

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  • vector space, consists of a set of vectors
  • agt,bgt,cgt, s.t.

For All
Complex numbers
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Where
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Consider the set of vector
  • This set is linearly independent if

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The set is said to span the space
or form a basis
  • And the set is linearly
    independent

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  • The number of vectors in a basis gives us the
    dimension of the vector space
  • Clearly because of the linear independence
    condition
  • If both span
    the space
  • Then

39
  • For the moment assume space to be finite
    dimensional,
  • Typically, as we will, see the Vector
    Space(Hilbert Space) in quantum problems will be
    infinite dimensional
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