The Fourier transform of holomorphic functions

Jordan Bell
November 4, 2014

For f∈L1⁢(ℝ), define

f^⁢(ξ)=∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢f⁢(x)⁢𝑑x,ξ∈ℝ.

For a>0, write

Sa={z∈ℂ:|Im⁢z|<a}.

We define 𝔉a to be the set of functions f that are holomorphic on Sa and for which there is some A>0 such that

|f⁢(x+i⁢y)|≤A1+x2,x+i⁢y∈Sa. (1)

For example, for f⁢(z)=e-π⁢z2,

|f⁢(z)|=|e-π⁢(x+i⁢y)2|=|e-π⁢x2-2⁢π⁢i⁢x⁢y+π⁢y2|=e-π⁢x2⁢eπ⁢y2,

and for any a>0, f∈Sa.

The following is from Stein and Shakarchi.11 1 Elias M. Stein and Rami Shakarchi, Complex Analysis, p. 114, Theorem 2.1.

Theorem 1.

If a>0 and f∈Fa, then for any 0≤b<a,

f^⁢(ξ)=e-2⁢π⁢|ξ|⁢b⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢f⁢(x-i⋅sgn⁢ξ⋅b)⁢𝑑x,ξ∈ℝ.
Proof.

If b=0 then the claim is immediate. If 0<b<a, we define g⁢(z)=e-2⁢π⁢i⁢ξ⁢z⁢f⁢(z). Because f∈𝔉a there is some A>0 such that f satisfies (1). We prove the claim separately for ξ≥0 and ξ≤0. For ξ≥0, with R>0,

|∫-R-i⁢b-Rg⁢(z)⁢𝑑z| ≤∫-R-i⁢b-R|e-2⁢π⁢i⁢ξ⁢z⁢f⁢(z)|⁢𝑑z
=∫-b0|e-2⁢π⁢i⁢ξ⁢(-R+i⁢y)⁢f⁢(-R+i⁢y)|⁢𝑑y
=∫-b0e2⁢π⁢ξ⁢y⁢|f⁢(-R+i⁢y)|⁢𝑑y
≤∫-b0e2⁢π⁢ξ⁢y⁢A1+R2⁢𝑑y
=O⁢(R-2)

and likewise

|∫RR-i⁢bg⁢(z)⁢𝑑z|=O⁢(R-2).

g is holomorphic on Sa, so by Cauchy’s integral theorem, taking R→∞,

∫-∞∞g⁢(z)⁢𝑑z=∫-∞-i⁢b∞-i⁢bg⁢(z)⁢𝑑z,

i.e.,

f^⁢(ξ) =∫-∞-i⁢b-∞-i⁢be-2⁢π⁢i⁢ξ⁢z⁢f⁢(z)⁢𝑑z
=∫-∞∞e-2⁢π⁢i⁢ξ⁢(x-i⁢b)⁢f⁢(x-i⁢b)⁢𝑑x
=e-2⁢π⁢ξ⁢b⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢f⁢(x-i⁢b)⁢𝑑x.

For ξ≤0, with R>0,

|∫-R+i⁢b-Rg⁢(z)⁢𝑑z| ≤∫-R-R+i⁢b|e-2⁢π⁢i⁢ξ⁢z⁢f⁢(z)|⁢𝑑z
=∫0b|e-2⁢π⁢i⁢ξ⁢(-R+i⁢y)⁢f⁢(-R+i⁢y)|⁢𝑑y
=∫0be2⁢π⁢ξ⁢y⁢|f⁢(-R+i⁢y)|⁢𝑑y
≤∫0be2⁢π⁢ξ⁢y⁢A1+R2⁢𝑑y
=O⁢(R-2),

and likewise

|∫RR+i⁢bg⁢(z)⁢𝑑z|=O⁢(R-2).

By Cauchy’s integral theorem, taking R→∞,

∫-∞∞g⁢(z)⁢𝑑z=∫-∞+i⁢b∞+i⁢bg⁢(z)⁢𝑑z,

i.e.,

f^⁢(ξ) =∫-∞+i⁢b∞+i⁢be-2⁢π⁢i⁢ξ⁢z⁢f⁢(z)⁢𝑑z
=∫-∞∞e-2⁢π⁢i⁢ξ⁢(x+i⁢b)⁢f⁢(x+i⁢b)⁢𝑑x
=e2⁢π⁢ξ⁢b⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢f⁢(x+i⁢b)⁢𝑑x.

∎

Corollary 2.

If a>0 and f∈Fa, then for any 0≤b<a there is some B such that

|f^⁢(ξ)|≤B⁢e-2⁢π⁢b⁢|ξ|,ξ∈ℝ.
Proof.

Because f∈𝔉a there is some A>0 such f satisfies (1). Put

B=A⁢∫-∞∞11+x2⁢𝑑x=π⁢A.

By Theorem 1,

|f^⁢(ξ)| ≤e-2⁢π⁢|ξ|⁢b⁢∫-∞∞|e-2⁢π⁢i⁢ξ⁢x⁢f⁢(x-i⋅sgn⁢ξ⋅b)|⁢𝑑x
=e-2⁢π⁢|ξ|⁢b⁢∫-∞∞|f⁢(x-i⋅sgn⁢ξ⋅b)|⁢𝑑x
≤e-2⁢π⁢|ξ|⁢b⁢∫-∞∞A1+x2⁢𝑑x
=e-2⁢π⁢|ξ|⁢b⋅B.

∎

Define

𝔉=⋃a>0𝔉a.

We now prove the Fourier inversion formula for functions belonging to 𝔉.22 2 Elias M. Stein and Rami Shakarchi, Complex Analysis, p. 115, Theorem 2.2.

Theorem 3.

If f∈F, then

f⁢(x)=∫-∞∞e2⁢π⁢i⁢x⁢ξ⁢f^⁢(ξ)⁢𝑑ξ,x∈ℝ.
Proof.

Say f∈𝔉a, write

∫-∞∞e2⁢π⁢i⁢x⁢ξ⁢𝑑ξ=∫0∞e2⁢π⁢i⁢x⁢ξ⁢𝑑ξ+∫-∞0e2⁢π⁢i⁢x⁢ξ⁢𝑑ξ=I1+I2,

and take 0<b<a. First we handle I1. By Theorem 1, for ξ>0,

f^⁢(ξ)=e-2⁢π⁢ξ⁢b⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢u⁢f⁢(u-i⁢b)⁢𝑑u=∫-∞∞e-2⁢π⁢i⁢ξ⁢(u-i⁢b)⁢f⁢(u-i⁢b)⁢𝑑u,

with which, because ξ⁢b>0,

∫0∞e2⁢π⁢i⁢x⁢ξ⁢f^⁢(ξ)⁢𝑑ξ =∫0∞e2⁢π⁢i⁢x⁢ξ⁢(∫-∞∞e-2⁢π⁢i⁢ξ⁢(u-i⁢b)⁢f⁢(u-i⁢b)⁢𝑑u)⁢𝑑ξ
=∫-∞∞f⁢(u-i⁢b)⁢∫0∞e-2⁢π⁢i⁢ξ⁢(u-i⁢b-x)⁢𝑑ξ⁢𝑑u
=∫-∞∞f⁢(u-i⁢b)⁢12⁢π⁢i⁢(u-i⁢b-x)⁢𝑑u
=12⁢π⁢i⁢∫L1f⁢(ζ)ζ-x⁢𝑑ζ.

where L1={u-i⁢b:u∈ℝ} traversed left to right. Now we handle I2. By Theorem 1, for ξ<0,

f^⁢(ξ)=e2⁢π⁢ξ⁢b⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢u⁢f⁢(u+i⁢b)⁢𝑑x=∫-∞∞e-2⁢π⁢i⁢ξ⁢(u+i⁢b)⁢f⁢(u+i⁢b)⁢𝑑x,

with which, because ξ⁢b<0,

∫-∞0e2⁢π⁢i⁢x⁢ξ⁢f^⁢(ξ)⁢𝑑ξ =∫-∞0e2⁢π⁢i⁢x⁢ξ⁢(∫-∞∞e-2⁢π⁢i⁢ξ⁢(u+i⁢b)⁢f⁢(u+i⁢b)⁢𝑑u)⁢𝑑ξ
=∫-∞∞f⁢(u+i⁢b)⁢∫-∞0e-2⁢π⁢i⁢ξ⁢(u+i⁢b-x)⁢𝑑ξ⁢𝑑u
=∫-∞∞f⁢(u+i⁢b)⁢-12⁢π⁢i⁢(u+i⁢b-x)⁢𝑑u
=-12⁢π⁢i⁢∫L2f⁢(ζ)ζ-x⁢𝑑ξ,

where L2={u+i⁢b:u∈ℝ} traversed left to right. Thus

∫-∞∞e2⁢π⁢i⁢x⁢ξ⁢f^⁢(ξ)⁢𝑑ξ=12⁢π⁢i⁢∫L1f⁢(ζ)ζ-x⁢𝑑ζ-12⁢π⁢i⁢∫L2f⁢(ζ)ζ-x⁢𝑑ξ. (2)

Let γ-R be the rectangle starting at -R-i⁢b, going to R-i⁢b, going to R+i⁢b, going to -R+i⁢b, going to -R-i⁢b. Because this rectangle and its interior are contained in Sa, on which f is holomorphic, by the residue theorem we have, for R>|x|,

∫γRf⁢(ζ)ζ-x⁢𝑑ζ=2⁢π⁢i⋅Resζ=x⁢f⁢(ζ)ζ-x=2⁢π⁢i⋅f⁢(x).

We estimate the integrand on the vertical sides of γR. For the left side, taking A such that f satisfies (1),

|∫-R+i⁢b-R-i⁢bf⁢(ζ)ζ-x⁢𝑑ζ|≤∫-bb|f⁢(-R+i⁢y)-R+i⁢y-x|⁢𝑑y≤∫-bbA1+R2⋅1R-|x|⁢𝑑y=O⁢(R-3).

For the right side,

|∫R-i⁢bR+i⁢bf⁢(ζ)ζ-x⁢𝑑ζ|≤∫-bb|f⁢(R+i⁢y)R+i⁢y-x|⁢𝑑y≤∫-bbA1+R2⋅1R-|x|⁢𝑑y=O⁢(R-3).

Thus, taking R→∞ we get

∫L1f⁢(ζ)ζ-x⁢𝑑ζ-∫L2f⁢(ζ)ζ-x⁢𝑑ζ=2⁢π⁢i⋅f⁢(x),

which by (2) is

∫-∞∞e2⁢π⁢i⁢x⁢ξ⁢f^⁢(ξ)⁢𝑑ξ=f⁢(x),

proving the claim. ∎

We now prove the Poisson summation formula.33 3 Elias M. Stein and Rami Shakarchi, Complex Analysis, p. 118, Theorem 2.4.

Theorem 4.

If f∈F, then

∑n∈ℤf⁢(n)=∑n∈ℤf^⁢(n).
Proof.

Say f∈𝔉a, take 0<b<a, and for N a positive integer let γN be the rectangle starting at -N-12-i⁢b, going to N+12-i⁢b, going to N+12+i⁢b, going to -N-12+i⁢b, going to -N-12-i⁢b. Because f∈𝔉a, f⁢(z)e2⁢π⁢i⁢z-1 is meromorphic on a region containing γN and its interior, and has poles at z=-N,…,N, with residues

Resz=n⁢f⁢(z)e2⁢π⁢i⁢z-1=f⁢(n)2⁢π⁢i⁢e2⁢π⁢i⁢n=f⁢(n)2⁢π⁢i.

Thus the residue theorem gives us

∫γNf⁢(z)e2⁢π⁢i⁢z-1⁢𝑑z=2⁢π⁢i⁢∑|n|≤Nf⁢(n)2⁢π⁢i=∑|n|≤Nf⁢(n). (3)

For the left side of γN, with z=-N-12+i⁢y, -b≤y≤b,

|e2⁢π⁢i⁢z-1|=|e-2⁢π⁢i⁢N-π⁢i-2⁢π⁢y-1|=|-e-2⁢π⁢y-1|≥1,

so, taking A>0 such that f satisfies (1),

|∫-N-12+i⁢b-N-12-i⁢bf⁢(z)e2⁢π⁢i⁢z-1⁢𝑑z| ≤∫-bb|f⁢(-N-12+i⁢y)|⁢𝑑y
≤∫-bbA1+(-N-12)2⁢𝑑y
=O⁢(N-2).

Likewise,

|∫N+12-i⁢bN+12+i⁢bf⁢(z)e2⁢π⁢i⁢z-1⁢𝑑z|=O⁢(N-2).

Therefore, taking N→∞, (3) becomes

∫L1f⁢(z)e2⁢π⁢i⁢z-1⁢𝑑z-∫L2f⁢(z)e2⁢π⁢i⁢z-1⁢𝑑z=∑n∈ℤf⁢(n),

where L1={x-i⁢b:x∈ℝ}, traversed left to right, and L2={x+i⁢b:x∈ℝ}, traversed left to right. Then, as b>0,

∑n∈ℤf⁢(n) =∫L1f⁢(z)⁢e-2⁢π⁢i⁢z1-e-2⁢π⁢i⁢z⁢𝑑z+∫L2f⁢(z)⁢11-e2⁢π⁢i⁢z⁢𝑑z
=∫L1f⁢(z)⁢e-2⁢π⁢i⁢z⁢∑n=0∞(e-2⁢π⁢i⁢z)n⁢d⁢z+∫L2f⁢(z)⁢∑n=0∞(e2⁢π⁢i⁢z)n
=∑n=0∞∫L1e-2⁢π⁢i⁢(n+1)⁢z⁢f⁢(z)⁢𝑑z+∑n=0∞∫L2e2⁢π⁢i⁢n⁢z⁢f⁢(z)⁢𝑑z
=∑n=1∞∫-∞∞e-2⁢π⁢i⁢n⁢(x-i⁢b)⁢f⁢(x-i⁢b)⁢𝑑x+∑n=0∞∫-∞∞e2⁢π⁢i⁢n⁢(x+i⁢b)⁢f⁢(x+i⁢b)⁢𝑑x
=∑n=1∞e-2⁢π⁢n⁢b⁢∫-∞∞e-2⁢π⁢i⁢n⁢x⁢f⁢(x-i⁢b)⁢𝑑x
+∑n=0∞e-2⁢π⁢n⁢b⁢∫-∞∞e2⁢π⁢i⁢n⁢x⁢f⁢(x+i⁢b)⁢𝑑x.

Using Theorem 1 this becomes

∑n∈ℤf⁢(n)=∑n=1∞f^⁢(n)+∑n=0∞f^⁢(-n)=∑n∈ℤf^⁢(n),

proving the claim. ∎

Take as granted that

∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢e-π⁢x2⁢𝑑x=e-π⁢ξ2,ξ∈ℝ.

For t>0 and a∈ℝ, with y=t1/2⁢(x+a),

∫-∞∞e-2⁢π⁢i⁢ξ⁢x⁢e-π⁢t⁢(x+a)2⁢𝑑x =∫-∞∞e-2⁢π⁢i⁢ξ⁢(t-1/2⁢y-a)⁢e-π⁢y2⁢t-1/2⁢𝑑y
=e2⁢π⁢i⁢ξ⁢a⁢t-1/2⁢∫-∞∞e-2⁢π⁢i⁢ξ⁢t-1/2⁢y⁢e-π⁢y2⁢𝑑y
=e2⁢π⁢i⁢ξ⁢a⁢t-1/2⁢e-π⁢ξ2⁢t-1.

With f⁢(x)=e-π⁢t⁢(x+a)2, this shows us that

f^⁢(ξ)=e2⁢π⁢i⁢ξ⁢a⁢t-1/2⁢e-π⁢ξ2⁢t-1,

and applying the Poisson summaton gives

∑n∈ℤe-π⁢t⁢(n+a)2=∑n∈ℤe2⁢π⁢i⁢n⁢a⁢t-1/2⁢e-π⁢n2⁢t-1. (4)

Define

ϑ⁢(t)=∑n∈ℤe-π⁢n2⁢t,t>0.

Using (4) with a=0 gives

ϑ⁢(t)=t-1/2⁢ϑ⁢(1t).