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The Dirac Delta function
Ernesto Estévez Rams
estevez@imre.oc.uh.cu
Instituto de Ciencia y Tecnología de Materiales (IMRE)-Facultad de Física
Universidad de la Habana
IUCr International School on Crystallography, Brazil, 2012.
III Latinoamerican series
Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Outline
1 Introduction
Defining the Dirac Delta function
2 Dirac delta function as the limit of a family of functions
3 Properties of the Dirac delta function
4 Dirac delta function obtained from a complete set of
orthonormal functions
Dirac comb
5 Dirac delta in higher dimensional space
6 Recapitulation
7 Exercises
8 References
The Dirac Delta function
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The Kronecker Delta
Suppose we have a sequence
of values {a 1, a 2, . . .} and we
wish to select algebraically a
particular value labeled by its
index i
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The Kronecker Delta
Definition (Kronecker
delta)
K δ ij =
{ 1 i = j
0 i ≠ j
Picking one member of a set algebraically
∑
j=1
a K j δ ij = a i
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The Kronecker Delta
Definition (Kronecker
delta)
K δ ij =
{ 1 i = j
0 i ≠ j
Picking one member of a set algebraically
∑
j=1
a K j δ ij = a i
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Properties of the Kronecker Delta
∑
j K δ ij = 1: Normalization condition.
K δ ij
= K δ ji : Symmetry property.
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Properties of the Kronecker Delta
∑
j K δ ij = 1: Normalization condition.
K δ ij
= K δ ji : Symmetry property.
The Dirac Delta function
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Spotting a point in the mountain profile
We want to pick up
just a narrow window
of the whole view
The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
How to deal with continuous functions ?
We want to do the
same with a
continuous function.
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Defining the Dirac Delta function
Consider a function f(x) continuous in the interval (a, b) and suppose we
want to pick up algebraically the value of f(x) at a particular point labeled
by x 0.
In analogy with the Kronecker delta let us define a selector function D δ(x)
with the following two properties:
∫ b
a f(x) D δ(x − x 0 )dx = f(x 0 ): Selector or sifting property
∫ b
a D δ(x − x 0 )dx = 1: Normalization condition
The Dirac Delta function
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Defining the Dirac Delta function
Consider a function f(x) continuous in the interval (a, b) and suppose we
want to pick up algebraically the value of f(x) at a particular point labeled
by x 0.
In analogy with the Kronecker delta let us define a selector function D δ(x)
with the following two properties:
∫ b
a f(x) D δ(x − x 0 )dx = f(x 0 ): Selector or sifting property
∫ b
a D δ(x − x 0 )dx = 1: Normalization condition
The Dirac Delta function
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Defining the Dirac Delta function
To be more general consider f(x) to be continuous in the interval (a, b)
except in a finite number of points where finite discontinuities occurs, then
the Dirac Delta can be defined as
Definition (Dirac delta function)
⎧
1
∫ 2 b
⎪⎨
[f(x− 0 ) + f(x+ 0 ] x0 ∈ (a, b)
1
f(x)δ(x − x 0)dx =
2 f(x+ 0 ) x0 = a
1
a
⎪⎩
2 f(x− 0 ) x0 = b
0 x 0 /∈ (a, b)
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A bit of history
Siméon Denis Poisson (1781-1840)
In 1815 Poisson already for sees the δ(x − x 0) as a selector
function using for this purpose Lorentzian functions. Cauchy
(1823) also made use of selector function in much the same
way as Poisson and Fourier gave a series representation on
the delta function(More on this later).
Paul Adrien Maurice Dirac (1902-1984)
Dirac ”rediscovered” the delta function that now bears his
name in analogy for the continuous case with the Kronecker
delta in his seminal works on quantum mechanics.
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What does it look like ?
δ p(x − x 0) =
{ p x ∈ (x0 − 1/2p, x 0 + 1/2p)
0 x /∈ (x 0 − 1/2p, x 0 + 1/2p)
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What does it look like ?
p ∫ x 0 +1/2p
f(x)dx x 0 −1/2p
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What does it look like ?
∫ ∞
−∞ δp(x) dx = ∫ 1/2p
−1/2p p dx = 1
Definition (Dirac delta function)
{ ∞ x = x0
δ(x − x 0)dx =
0 x ≠ x 0
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The Dirac Delta function
Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
What does it look like ?
Definition (Dirac delta function)
{ ∞ x = x0
δ(x − x 0) =
0 x ≠ x 0
The above expression is just ”formal”, the δ(x) must be always understood in
the context of its selector property i.e. within the integral
δ(x) is defined more rigorously in terms of a distribution or a functional
(generalized function)
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Dirac delta function as the limit of a family of functions
The Dirac delta function can be pictured as the limit in a sequence of
functions δ p which must comply with two conditions:
∫
lím ∞
p→∞ −∞ δp(x)dx = 1: Normalization condition
lím p→∞
δ p(x≠0)
lím x→0 δ = 0 Singularity condition. p(x)
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Dirac delta function as the limit of a family of functions
The Dirac delta function can be pictured as the limit in a sequence of
functions δ p which must comply with two conditions:
∫
lím ∞
p→∞ −∞ δp(x)dx = 1: Normalization condition
lím p→∞
δ p(x≠0)
lím x→0 δ = 0 Singularity condition. p(x)
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... as the limit of Gaussian functions
∆ px
δ p(x) Gaussian
family
pΠ
δ p(x) =
√
p
π exp (−px2 )
1 p
Π
1 p
1 p
x
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... as the limit of Gaussian functions
Normalization condition
∫ ∞
−∞
√
p
δ p(x)dx =
π
∫ ∞
−∞
√ ∫
exp (−px 2 1 ∞
)dx = exp (−px 2 )d( √ px) =
π −∞
√ ∫ 1 ∞
√ ∫
exp (−t 2 1 ∞
)dt = 2 exp (−t 2 )dt
π
π
−∞
0
I = ∫ ∞
0
e −t2 dt
I 2 = ∫ ∞
0
e −y2 dy ∫ ∞
0
e −z2 dz = ∫ ∫ ∞
0
exp (y 2 + z 2 )dydz
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Normalization condition
⎧
⎨
⎩
r 2 = y 2 + z 2
y = r cos φ
z = r sin φ
⎫
⎬
⎭
I 2 = ∫ π/2
dφ ∫ ∞
∫
e −r2 rdr = π ∞
e −s ds = π 0 0 4 0 4
I = √ π
2
∫ ∞ δp(x)dx = 1 −∞
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... as the limit of Gaussian functions
Singularity condition
lím
p→∞
δ p(x ≠ 0)
lím x→0 δ = p(x)
lím
p→∞
√ p
π e−px2
√ p
π
= 0
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... as the limit of Lorentzian functions
∆ px
δ p(x) Lorentzian
family
δ p(x) = 1 p
p
p
Π
p
2Π
1 + p 2 x 2 x
1p
1p
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... as the limit of Lorentzian functions
Normalization condition
∫ ∞
−∞
δ p(x)dx = 1 π
∫ ∞
−∞
pdx
1 + p 2 x = 1 ∫ ∞
2 π −∞
dt
1 + t 2 =
1
π lím arctan t|t=k t=−k = 2
k→∞ π lím arctan k = 1
k→∞
Π2
y
ArcTanx
x
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... as the limit of Lorentzian functions
Singularity condition
lím
p→∞
δ p(x ≠ 0)
lím x→0 δ p(x) =
1
π lím
p→∞
1
π lím
p→∞
p
1+p 2 x 2
p
1
=
1 + p 2 x = 0 2 The Dirac Delta function
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... as the limit of Sinc functions
∆ px
p
Π
δ p(x) Sinc family
δ p(x) = p π
sin px
px
Π
p
Π
2
p
Π
3
p
x
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... as the limit of Sinc functions
Normalization condition
∫ ∞
−∞
δ p(x)dx = 1 π
∫
2 ∞
π 0
∫ ∞
−∞
∫ ∞
1
π
sin (px)dx
=
x
−∞
sin z
z dz =
sin z
z
dz = 2 π
π 2 = 1 The Dirac Delta function
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... as the limit of Sinc functions
Singularity condition
1
π
lím
p→∞
sin (px)
x
p
π
lím
p→∞
δ p(x ≠ 0)
lím x→0 δ p(x) =
sin (px)
= lím = 0
p→∞ px
δ p(x) alternative definition of the
Sinc family
∫
δ p(x) = 1 p
2π −p e±itx dt
∫
δ p(x) = 1 p cos (tx)dt π 0
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Properties of the Dirac delta function
Let us denote by x n the roots of the equation f(x) = 0 and suppose that
f ′ (x n) ≠ 0 then
Composition of functions
δ(f(x)) = ∑ n
δ(x−x n)
|f ′ (x n|
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Important consequences of the composition property are
δ(−x) = δ(x) (symmetry property).
δ(ax) = δ(x)
|a|
(scaling property).
δ(ax − x 0 ) = δ(x− x 0
a
)
(a more general formulation of the scaling property).
|a|
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Important consequences of the composition property are
δ(−x) = δ(x) (symmetry property).
δ(ax) = δ(x)
|a|
(scaling property).
δ(ax − x 0 ) = δ(x− x 0
a
)
(a more general formulation of the scaling property).
|a|
δ(x 2 − a 2 ) = δ(x−a)+δ(x+a)
2|a| .
The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Important consequences of the composition property are
δ(−x) = δ(x) (symmetry property).
δ(ax) = δ(x)
|a|
(scaling property).
δ(ax − x 0 ) = δ(x− x 0
a
)
(a more general formulation of the scaling property).
|a|
δ(x 2 − a 2 ) = δ(x−a)+δ(x+a)
2|a| .
∫ ∞
−∞ g(x)δ(f(x))dx = ∑ n
g(x n)
|f ′ (x n)|
The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Important consequences of the composition property are
δ(−x) = δ(x) (symmetry property).
δ(ax) = δ(x)
|a|
(scaling property).
δ(ax − x 0 ) = δ(x− x 0
a
)
(a more general formulation of the scaling property).
|a|
δ(x 2 − a 2 ) = δ(x−a)+δ(x+a)
2|a| .
∫ ∞
−∞ g(x)δ(f(x))dx = ∑ n
g(x n)
|f ′ (x n)|
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Convolution
Convolution
f(x)⊗δ(x+x 0) = ∫ ∞
f(ς)δ(ς−(x+x0))dς = f(x+x0)
−∞
The effect of convolving with the position-shifted Dirac delta is to shift f(t)
by the same amount.
∫ ∞
−∞ δ(ζ − x)δ(x − η)dx = δ(ζ − η)) The Dirac Delta function
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Convolution
Convolution
f(x)⊗δ(x+x 0) = ∫ ∞
f(ς)δ(ς−(x+x0))dς = f(x+x0)
−∞
The effect of convolving with the position-shifted Dirac delta is to shift f(t)
by the same amount.
∫ ∞
−∞ δ(ζ − x)δ(x − η)dx = δ(ζ − η)) The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Heaviside
Definition (Step function)
Θ(x) = 1 2 (1 + x
|x| )
Definition (Step function)
{ 1 x ≥ 0
Θ(x) =
0 x < 0
dΘ
dx = 1 d x
2 dx |x| = 1 2 lím d 2
arctan (px) =
p→∞ dx π
1
π lím p
p→∞ 1 + p 2 x = δ(x)
2
Heaviside
δ(x) = dΘ(x)
dx
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Heaviside
Definition (Step function)
Θ(x) = 1 2 (1 + x
|x| )
Definition (Step function)
{ 1 x ≥ 0
Θ(x) =
0 x < 0
dΘ
dx = 1 d x
2 dx |x| = 1 2 lím d 2
arctan (px) =
p→∞ dx π
1
π lím p
p→∞ 1 + p 2 x = δ(x)
2
Heaviside
δ(x) = dΘ(x)
dx
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Heaviside
y
y
p⩵0.5
x
p⩵2
x
y
y
p⩵1
x
p⩵5
x
The Dirac Delta function
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Fourier transform of the Dirac delta function
Fourier transform
Γ [δ(x)] = ̂δ(x ∗ ) ≡ ∫ ∞
−∞ δ(x) exp (−2πix∗ x)dx = 1
This property allow us to state yet another definition of the Dirac delta as
the inverse Fourier transform of f(x) = 1
Definition (Dirac delta function)
δ(x) =
∫ ∞
−∞
exp (2πix ∗ x)dx ∗ The Dirac Delta function
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Fourier transform of the Dirac delta function
Fourier transform
Γ [δ(x)] = ̂δ(x ∗ ) ≡ ∫ ∞
−∞ δ(x) exp (−2πix∗ x)dx = 1
This property allow us to state yet another definition of the Dirac delta as
the inverse Fourier transform of f(x) = 1
Definition (Dirac delta function)
δ(x) =
∫ ∞
−∞
exp (2πix ∗ x)dx ∗ The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Dirac delta function obtained from a complete set of
orthonormal functions
Let the set of functions {ψ n} be a complete system of orthonormal functions
in the interval (a, b) and let x and x 0 be inner points of that interval. Then
Theorem (Orthonormal functions)
∑
n ψ∗ n(x)ψ n(x 0) = δ(x − x 0)
To proof the theorem we shall demonstrate that the left hand side has the
sifting property of the Dirac distribution
I = ∫ b
f(x) ∑
a n ψ∗ n(x)ψ n(x 0)dx = f(x 0)
f(x) = ∑ m cmψm(x) cm = ∫ b
a f(x)ψ∗ m(x)dx
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Dirac delta function obtained from a complete set of
orthonormal functions
I =
∫ b
a
∑
c ∑ mψ m(x) ψn(x)ψ ∗ n(x 0)dx =
m
n
∑ ∑
∫ b
c m ψ n(x 0) ψn(x)ψ ∗ m(x)dx
m n
a
∫ b
a ψ∗ n(x)ψ m(x)dx = K δ mn
I = ∑ n
∑
c m ψ n(x 0) K δ mn =
n
∑
c mψ m(x 0) = f(x 0)
n
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Dirac comb
Definition (Dirac comb)
∑ ∞
m=−∞ δ(x − ma) The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Dirac comb
1
The set { √ exp (2πinx/a)} forms a complete set of orthonormal
(|a|)
functions, then
∑
δ(x) = 1 ∞
|a| n=−∞
exp (2πinx/a)
each summand in the LHS in the above expression is periodic with period
|a| therefore the whole sum is periodic with the same period and
Dirac comb
∑ ∞
∑
1
m=−∞
δ(x − ma) = ∞
|a| n=−∞ exp (2πinx/a) The Dirac Delta function
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Fourier transform of a Dirac comb
∞∑
∫ ∞
∫ ∞
−∞ m=−∞
δ(x − ma) exp(−2πix ∗ x)dx =
∞∑
δ(x − ma) exp(−2πix ∗ x)dx =
m=−∞ −∞
m=−∞
∞∑
exp(2πix ∗ ma)
Theorem (Fourier transform of a Dirac comb)
Γ [ ∑ ∞
1
m=−∞
δ(x − ma)] =
|a|
∑ ∞
h=−∞ δ(x∗ − h/a) = |a ∗ | ∑ ∞
h=−∞ δ(x∗ − ha ∗ )
The Fourier transform of a Dirac comb is a Dirac comb
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Dirac delta in higher dimensional space
Dirac delta in higher dimensions. Cartesian coordinates
∫
···
∫
f(⃗x)δ(⃗x − ⃗x0)d N x = f( ⃗x 0)
which comes from
∫
···
∫
f(x1, x 1, . . . x N )δ(x 1 −x 01)δ(x 2 −x 02) . . . δ(x N −x 0N )dx 1dx 2 . . . dx N =
f( x 01, x 02, ⃗ . . . x 0N )
Definition (Dirac delta in higher dimensions. Cartesian
coordinates)
δ(⃗x − ⃗x 0) = δ(x 1 − x 01)δ(x 2 − x 02) . . . δ(x N − x 0N ) = ∏ N
s=1 δ(xs − x0s)
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
General coordinates
{x i}: Cartesian coordinates
{y i}: General coordinates
x 1 = x 1(y 1, . . . y N )
x 2 = x 2(y 1, . . . y N )
. . .
x N = x N (y 1, . . . y N )
J(y 1, y 2, . . . , y N ) =
∣
∂x 1 ∂x 1
∂y 1
∂x 2 ∂x 2
∂y 1
∂x N
∂y 1
∂x 1
∂y 2
. . .
∂y N
∂y 2
. . .
∂x 2
∂y N
. . . . . . . . . . . .
∂x N
∂y 2
. . .
∂x N
∂y N
∣ ∣∣∣∣∣∣∣∣
Definition (Dirac delta in higher
dimensions. General coordinates)
δ(⃗x − ⃗x 0) =
1
δ(⃗y − ⃗y0) |J(y 1 ,y 2 ,...,y N )|
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Oblique coordinates
x 1 = a 11y 1 + a 12y 2 . . . a 1N y N
J(y 1, y 2, . . . , y N ) =
∣
x 2 = a 11y 1 + a 22y 2 . . . a 2N y N
a 11 a 12 . . . a 1N ∣∣∣∣∣∣∣
.
a 21 a 22 . . . a 2N
x N = a N1y 1 + a N2y 2 . . . a NN y N ∣
. . . . . . . . . . . .
a N1 a N2 . . . a NN
⃗x =
⎛
⎜
⎝
a 11 a 12 . . . a 1N
⎞
a 21 a 22 . . . a 2N
. . . . . . . . . . . .
⎟
⎠ ⃗y
Definition (Dirac delta in higher
dimensions. Oblique coordinates)
δ(⃗x− ⃗x 0) = 1 δ(⃗y − ⃗y0) = √
1
δ(⃗y − ⃗y
| ||A|| | | ||G|| | 0)
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Recap: Definitions
δ(x − x 0)dx =
{ ∞ x = x0
δ(x) = d ( 1
dx 2 (1 + x )
|x| ) 0 x ≠ x 0
√
p
δ(x) = lím
p→∞ π exp (−px2 )
p sin px
δ(x) = lím
p→∞ π px
δ(x) = lím
p→∞
δ(x) =
∫ ∞
−∞
1 p
p 1 + p 2 x 2
exp (2πix ∗ x)dx ∗
δ(x − x 0) = ∑ n
ψ ∗ n(x)ψ n(x 0)
where {ψ ∗ n(x)} is a complete set of orthornormal functions.
The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Recap: Properties
Γ [
∫ b
a
δ(f(x)) = ∑ n
δ(x 2 − a 2 ) =
∞∑
m=−∞
⎧
1
2 ⎪⎨
[f(x− 0 ) + f(x+ 0 ] x0 ∈ (a, b)
1
f(x)δ(x − x 0)dx =
2 f(x+ 0 ) x0 = a
1
⎪⎩
2 f(x− 0 ) x0 = b
0 x 0 /∈ (a, b)
δ(x − x n)
|f ′ (x n|
∫ ∞
g(x)δ(f(x))dx = ∑
−∞ n
δ(−x) = δ(x) δ(ax − x 0) = δ(x − x 0
a
)
|a|
δ(x − ma)] = |a ∗ |
δ(x − a) + δ(x + a)
2|a|
∞∑
m=−∞
∞∑
h=−∞
g(x n)
|f ′ (x n)|
f(x) ⊗ δ(x + x 0) = f(x + x 0)
δ(x ∗ − ha ∗ ) Γ [δ(x)] = ̂δ(x ∗ ) = 1
δ(x − ma) = 1
|a|
∞∑
n=−∞
exp (2πinx/a)
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Recap: Higher Dimensions
Cartesian coordinates:
∫
∫
· · ·
f(⃗x)δ(⃗x − ⃗x 0)d N x = f( ⃗x 0)
δ(⃗x − ⃗x 0) = δ(x 1 − x 01)δ(x 2 − x 02) . . . δ(x N − x 0N ) =
General Coordinates {y i}:
δ(⃗x − ⃗x 0) =
Oblique Coordinates ⃗x = A · ⃗y:
1
δ(⃗y − ⃗y0)
|J(y 1, y 2, . . . , y N )|
N∏
δ(x s − x 0s)
s=1
δ(⃗x − ⃗x 0) = 1
| ||A|| | δ(⃗y − ⃗y0) = 1
√
| ||G|| |
δ(⃗y − ⃗y 0)
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Exercises
Prove:
δ(f(x)) = ∑ δ(x−x n)
n |f ′ (Hint: develop f(x) in Taylor series around x n and
(x n|
prove the sifting property with δ(f(x)))
∑ ∞
n=−∞ f(na) = |x∗ | ∑ ∞
m=−∞ ̂f(mx ∗ ) (Poisson summation formula)
sin ((2p+1)π x−x 0 )
a
lím p→∞
sin (π x−x0 = |a| ∑ ∞
a ) m=−∞ δ(x − x 0 − ma)
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
Exercises
Prove that on the limit p → ∞ the sawtooth funtion tends to the Dirac
comb
The Dirac Delta function
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Introduction δ as a limit Properties Orthonormal Higher dimen. Recap Exercises Ref.
References
Prof. RNDr. Jiri Komrska.
The Dirac distribution
http://physics.fme.vutbr.cz/∼komrska
V. Balakrishnan
All about the Dirac Delta Function(?)
The Dirac Delta function
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