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The exponential map is a topological isomorphism exp : R, + −→ R+, · The Mellin transform, inverse Mellin transform, and Mellin inversion formula are essentially their Fourier counterpar

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THE FOURIER TRANSFORM AND THE MELLIN TRANSFORM

For suitable functions

f : R −→ C the Fourier transform of f is the integral

F f : R −→ C, (F f )(y) =

Z

R

f (x)e−2πixydx, and for suitable functions

g : R −→ C the inverse Fourier transform of g is the integral

F−1g : R −→ C, (F−1g)(x) =

Z

R

g(y)e2πiyxdy

The Fourier inversion formula says that if the functions f and g are well enough behaved then g = F f if and only if f = F−1g

The exponential map is a topological isomorphism

exp : (R, +) −→ (R+, ·) The Mellin transform, inverse Mellin transform, and Mellin inversion formula are essentially their Fourier counterparts passed through the isomorphism

Specifically, given a suitable function on the positive real axis,

f : R+ −→ C,

we can make a corresponding function on the real line,

e

f : R −→ C, f = f ◦ exp e The Fourier transform of ef is F ef : R −→ C where

(F ef )(y) =

Z

R

e

f (x)e−2πixydx

= Z

R

f (ex)(ex)−2πiyd(e

x)

ex

= Z

R+

f (t)t−2πiy dt

t

= Z

R+

f (t)tsdt

t letting s = −2πiy.

If f (t) decreases at least as a polynomial in t as t → 0+ and f decreases rapidly

as t → ∞ then in fact the integral converges on a complex right half plane of s-values {Re(s) > σo} where σ0< 0 More generally, if f (t) behaves asymptotically

as t−σ o where σo ∈ R as t → 0+, and f (t) decreases rapidly as t → ∞, then the integral converges on a complex right half plane {Re(s) > σo} Thus we are led to define the Mellin transform of f for such functions f

Mf : {Re(s) > σo} −→ C, (Mf )(s) =

Z

R+

f (t)tsdt

t .

1

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2 THE FOURIER TRANSFORM AND THE MELLIN TRANSFORM

The condition that (F ef )(y) is small for large |y| says that (Mf )(s) is small for s far from the real axis

For example, the gamma function is the Mellin transform of the negative expo-nential,

Γ(s) = Z

R >0

e−ttsdt

t , Re(s) > 0.

Letting g = Mf (so that g(s) = Mf (s) = (F ef )(y) when s = −2πiy), the next question is how to recover f from g Since g is simply the Fourier transform of f

up to a coordinate change, f must be essentially the inverse Fourier transform of g More specifically, the fact that ef is exactly the inverse Fourier transform of F ef ,

e

f (x) = Z

R

(F ef )(y)e2πiyxdy, rewrites as

f (ex) =

Z

R

g(s)(ex)−sdy where s = −2πiy

= 1 2πi Z

Re(s)=0

g(s)(ex)−sds integrating upwards

That is,

f (t) = 1 2πi Z

Re(s)=0

g(s)t−sds

Contour integration shows that the vertical line of integration can be shifted hor-izontally within the right half plane of convergence with no effect on the integral Thus the definition of the inverse Mellin transform of g is inevitably

M−1g : R+−→ C, (M−1g)(t) = 1

2πi Z

Re(s)=σ

g(s)t−sds for any suitable σ Naturally, the Mellin inversion formula says that if the functions f and g are well enough behaved then g = Mf if and only if f = M−1g

For practice with Mellin inversion, it is an exercise to evaluate the integral

f (t) =

Z σ+i∞

s=σ−i∞

Γ(s)t−sds, σ > 0

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