Tuesday, December 24, 2024

Give Me 30 Minutes And I’ll Give You Uniqueness Theorem And Convolutions

Here,

g

{\displaystyle g}

is an arbitrary tempered distribution (e. . g. 1
A uniqueness theorem (or its proof) is, at least within the mathematics of differential equations, often combined with an existence theorem (or its proof) to a combined existence and uniqueness theorem (e. g. More generally, convolution in one domain (e.

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60 (2. Consider two sequences

g
[
n
]

{\displaystyle g[n]}

and

h
[
n
]

{\displaystyle h[n]}

with transforms

G

{\displaystyle G}

and

H

visit their website {\displaystyle H}

:
The §Discrete convolution of

g

{\displaystyle g}

and

h

{\displaystyle h}

is defined by:
The convolution theorem for discrete sequences is:34p.
The convolution theorem states that:12eq.
Consider functions

link g
,
h

{\displaystyle g,h}

in Lp-space

L

1

(

R

n

)

{\displaystyle L^{1}(\mathbb {R} ^{n})}

, with Fourier transforms

G
,
H

{\displaystyle G,H}

:
The convolution of

g

{\displaystyle g}

and

h

{\displaystyle h}

is defined by:
Also:
Hence by Fubini’s theorem we have that

r

L

1

(

R

n

)

{\displaystyle r\in L^{1}(\mathbb {R} ^{n})}

so its Fourier transform

R

{\displaystyle R}

is defined by the integral formula:
Note that

|

g
(

)
h
(
x

)

e

i
2

f

x

|

=

|

look at this web-site g
(

)
h
(
x

)

|

{\displaystyle |g(\tau )h(x-\tau )e^{-i2\pi f\cdot x}|=|g(\tau )h(x-\tau )|}

and hence by the argument above we may apply Fubini’s theorem again (i. .