Blueprint for the collaborative Formalization Seminar

3 Interpolation

3.1 Rietz-Thorin’s Interpolation Theorem

Rietz-Thorin’s interpolation theorem is a powerful tool to study boundedness of linear operators between complex \(L^p\) spaces. Informally, it states that if a linear map \(T\) is bounded as an operator \(L^{p_0}\to L^{q_0}\) and as an operator \(L^{p_1} \to L^{q_1}\), then it must also be a bounded operator \(L^p \to L^q\) whenever \(\left(\frac{1}{p}, \frac{1}{q}\right)\) is a convex combination of \(\left(\frac{1}{p_0}, \frac{1}{q_0}\right)\) and \(\left(\frac{1}{p_1}, \frac{1}{q_1}\right)\).
Since simple functions are contained in all the \(L^p\) spaces, and bounded linear operators are continuous, an equivalent formulation may be: given a bounded linear operator from simple functions to functions that are integrable on all sets of finite measure, if we know it can be extended to bounded linear operators \(L^{p_0} \to L^{q_0}\) and \(L^{p_1} \to L^{q_1}\), then it can also be extended \(L^p \to L^q\) with \(p\) and \(q\) as above.

Before we start, let us recall the maximum modulus principle from complex analysis. There are various statements of this in Lean, see the dedicated Mathlib page.

Theorem 3.1

Let \(U\) be a connected open set in a complex normed space \(E\). Let \(f:E\to F\) be a function that complex differentiable on \(U\) and continuous on \(\bar{U}\).
If \(|f(z)|\) takes its maximum on a point \(u\in U\), then it must be constant on \(\bar{U}\).

Proof

Already formalized in Mathlib, along with several variants.

Lemma 3.2
#

Let \(S\) be the strip \(S:=\{ z \in \mathbb {C}\ | \ 0 {\lt} \mathrm{Re} \, z {\lt} 1 \} \). Let \(f: \overline{S} \to \mathbb {C}\) be a function that is holomorphic on \(S\) and continuous and bounded on \(\overline{S}\).
Assume \(M_0, M_1\) are positive real numbers such that for all values of \(y\) in \(\mathbb {R}\), we have

\[ | \phi (iy) | \leq M_0 \ \qquad | \phi (1+iy) | \leq M_1 \]

i.e., the absolute values of the function on the lines \(\{ \mathrm{Re} \, z = 0\} \) and \(\{ \mathrm{Re} \, z = 1\} \) are bounded by \(M_0\) and \(M_1\) respectively.
Then, for all \(0 \leq t \leq 1\) and for all real values of \(y\), we have

\[ | \phi (t + iy) | \leq M_0^{1-t} M_1^t \]
Proof

 
If \(|\phi |\) is constant, everything holds trivially by setting \(M_0\) and \(M_1\) to be the value of \(|\phi |\) at a point. Assume \(|\phi |\) non-constant.

  • Case 1: assume \(M_0=M_1=1\), and \(\sup _{0 \leq x \leq 1} | \phi (x+iy) | \to 0\) when \(|y| \to \infty \).
    Let \(M\) be the supremum of \(|\phi (z)|\) on \(\bar{S}\). Since the function is non-constant, we have \(M{\gt}0\).
    Let \(\{ z_n\} \) be a sequence of points in \(S\) such that \(|\phi (z_n)|\) converges to \(M\).
    Since we assumed the absolute value of \(\phi \) goes to zero as \(|y|\) goes to infinity, all points where \(|\phi (z)|{\gt}M-\epsilon \) must be in some rectangle around zero, i.e. the sequence \({z_n}\) must be bounded.
    Hence, there must be a converging subsequence of \({z_n}\) to a point \(z^* \in \bar{S}\).
    By maximum modulus principle, \(z^*\) must be on the boundary \(\delta S\), so it must have real part \(0\) or \(1\). Hence, by assumption, \(|\phi (z^*)|\leq 1\), and by construction \(|\phi (z)|\leq 1\) for all \(z \in \bar{S}\), which is what we wanted to show.

  • Case 2: only assume \(M_0 = M_1 = 1\).
    For \(\epsilon {\gt}0\), define

    \[ \phi _{\epsilon } (z) = \phi (z) e^{\epsilon (z^2 - 1)} \]
    If the real part of \(z\) is \(0\), then \(z=iy\) and
    \[ | \phi _{\epsilon } (z) | = |\phi (z) e^{\epsilon (-y^2-1)}| \leq |\phi (z)| \cdot 1 \leq 1 \]
    If the real part of \(z\) is \(1\), then \(z=1+iy\) and
    \[ | \phi _{\epsilon } (z) | = |\phi (z) e^{\epsilon (1 -y^2 + 2iy -1)}| = |\phi (z) e^{\epsilon (-y^2 + 2iy)}| = |\phi (z) e^{\epsilon (-y^2)}| \leq |\phi (z)| \cdot 1 \leq 1 \]
    Moreover,
    \[ | \phi _{\epsilon } (x+iy)| \leq |\phi (x+iy)| \cdot |e^{\epsilon (z^2-1)}| = |\phi (x+iy)| \cdot |e^{\epsilon (x^2-1-y^2+2ixy)}| = |\phi (x+iy)| \cdot |e^{\epsilon (x^2-1-y^2)}| \]
    Hence, for \(0\leq x \leq 1\) and \(|y| \to \infty \), we have that both factors go to zero.
    Thus \(\phi _{\epsilon }\) satisfies the hypotheses of case 1, so \(|\phi _{\epsilon }| \leq 1\) on the whole strip.
    Now, we have pointwise that
    \[ \lim _{\epsilon \to 0} \phi _{\epsilon }(z) = \lim _{\epsilon \to 0} \phi (z) e^{\epsilon (z^2-1)} = \phi (z) \]
    Hence, for \(\epsilon \to 0\), we have \(|\phi _{\epsilon }(z)| \to |\phi (z)|\). Thus,
    \[ |\phi (z)| = \lim _{\epsilon \to 0} |\phi _{\epsilon }(z)| \leq 1 \]
    which is what we wanted to show.

  • General case
    If \(M_0\) and \(M_1\) are any two positive real numbers, define

    \[ \tilde{\phi } (z) = M_0 ^{z-1} M_1^{-z} \phi (z) \]
    Recall that, for \(a\in \mathbb {R}\setminus \{ 0\} \), we have
    \[ |a^{b+ic}| = |a^b| \]
    Hence, if the real part of \(z\) is \(0\), we have
    \[ |\tilde{\phi } (z)| \leq |M_0^{-1}| \cdot |M_1^0| \cdot |\phi (z)| \leq \frac{1}{M_0} \cdot M_0 = 1 \]
    And if the real part of \(z\) is \(1\), we have
    \[ |\tilde{\phi } (z)| \leq |M_0^0| \cdot |M_1^{-1}| \cdot |\phi (z)| \leq \frac{1}{M_1} \cdot M_1 = 1 \]
    From the previous case, we obtain that for arbitrary \(z\) in the strip
    \[ |\tilde{\phi } (z)| \leq 1 \]
    Now, write \(z= t + iy\) and unroll the definition of \(\tilde{\phi }\) to obtain
    \[ |M_0^{t-1+y} M_1^{-t-iy} \phi (z)| \leq 1 \]
    The left-hand side is equal to
    \[ M_0^{t-1} M_1^{-t} |\phi (z)| \]
    So we obtain
    \[ |\phi (z)| \leq M_0^{1-t} M_1^t \]
    which is exactly what we wanted.

Lemma 3.3
#

Let \(p\) and \(q\) be real conjugate exponents. Let \(f\) be measurable. Then

\[ \| f\| _{L^q} = \sup _{\| g\| _{L^p} \leq 1, \ g \text{ simple}} \| fg \| _{L^1}. \]

In particular, if the right hand side formula is finite, \(f\in L^q\).

Proof

That

\[ \sup _{\| g\| _{L^p} \leq 1, \ g \text{ simple}} \| fg \| _{L^1} \le \| f\| _{L^q} \]

follows from Hölder’s inequality.

The other direction is trivial when \(\| f\| _{L^q}=0\). Suppose \(\| f\| _{L^q}\ne 0\). Set

\[ g = \cfrac {|f|^{p-1}}{\| f\| _{L^p}^{p-1}}. \]

Then \(\| g\| _{L^p} = 1\).

\begin{align*} \| f\| _{L^q} & = \| fg \| _{L^1} \\ & = \sup _{n \in \mathbb N} \| fg_n \| _{L^1} \tag {1}\\ & \le \sup _{\| g\| _{L^p} \leq 1, \ g \text{ simple}} \| fg \| _{L^1} \tag {2} \end{align*}

In (1) and (2), \(g_n\) is a monotone sequence of simple function approximating \(g\) from below, whose existence is basic real analysis.

Lemma 3.4
#

Let \(f\) be measurable and the measure \(\mu \) be \(\sigma \)-finite. Then

\[ \| f\| _{L^\infty } = \sup _{\| g\| _{L^1} \leq 1, \ g \text{ simple}} \| fg \| _{L^1}. \]
Proof

That

\[ \sup _{\| g\| _{L^1} \leq 1, \ g \text{ simple}} \| fg \| _{L^1} \le \| f\| _{L^\infty } \]

follows from Hölder’s inequality.

Suppose \(M:= \sup _{\| g\| _{L^1} \leq 1, \ g \text{ simple}} \| fg \| _{L^1} {\lt} \| f\| _{L^\infty }\). Then \(\{ x | |f(x)| \ge M \} \) has positive measure. Since \(\mu \) is \(\sigma \)-finite, we have a subset \(B \subset \{ x | |f(x)| \ge M \} \) with finite positive measure by a classical lemma. Now set

\[ h := \mu (B)^{-1} \chi _B. \]

Then we have

\begin{align*} M & = \int _B \mu (B)^{-1} M d\mu \\ & {\lt} \int _B \mu (B) |f| d\mu \\ & = \| fh\| _{L^1}. \end{align*}

But \(\| h\| =1\) and \(h\) is simple, so \(\| fh\| _{L^1} \le M\), contradiction.

As a last step towards proving the theorem, let us recall a consequence of Hölder’s inequality, which will only really be substantial in a corner case of our proof.

Lemma 3.5

Let \((X, \mu )\) be a measure space and \(0{\lt} p_0 {\lt}p_1\leq \infty \), \(0 \le p \le \infty \). Assume we have \(t \ge 0\) such that

\[ \frac{1}{p} = \frac{1-t}{p_0} + \frac{t}{p_1} \]

Let \(f : X \to \mathbb C\) be a measurable function. Then

\[ \| f \| _{L^p} \leq \| f \| ^{1-t}_{L^{p_0}} \| f\| ^t_{L^{p_1}} \]

In particular, the \(f\) in \(L^{p_0}(X) \cap L^{p_1}(X)\), then \(f\) is in \(L^p(X)\).

Proof

This is just a version of Hölder’s inequality, but in order to apply it, we should rule out some trivial cases.

First note that the assumption guarantees that \(0 {\lt} p_0 \le p \le p_1 \le \infty \) and \(0\le t \le 1\).

When \(t=0\) or \(t=1\), the inequality holds trivially. Hence we may assume \(t \ne 0\) and \(t \ne 1\). In this case \(p {\lt} p_1 \le \infty \).

Now we can rearrange the equality into

\[ \cfrac {1}{\cfrac {p_0}{(1-t)p}} + \cfrac {1}{\cfrac {p_1}{tp}} = 1. \]

Using Hölder’s inequality, we have

\begin{align*} \| f\| _{L^p} & = (\int |f|^p d\mu )^{1/p} \\ & = (\int |f|^{(1-t)p} |f|^{tp} d\mu )^{1/p} \\ & \le ((\int |f|^{(1-t)p \frac{p_0}{(1-t)p}} d\mu )^{\frac{(1-t)p}{p_0}} (\int |f|^{tp \frac{p_1}{tp}} d\mu )^{\frac{tp}{p_1}})^{1/p} \\ & = (\int |f|^{p_0} d\mu )^{\frac{(1-t)}{p_0}} (\int |f|^{p_1} d\mu )^{\frac{tp}{p_1}} \\ & = \| f \| ^{1-t}_{L^{p_0}} \| f\| ^t_{L^{p_1}} \end{align*}
Theorem 3.6

Let \((X, \mu )\) and \((Y, \nu )\) be measure spaces and consider all \(L^p\) spaces to be complex valued.
Suppose \(T\) is a linear map \(L^{p_0}(X) + L^{p_1}(X) \to L^{q_0}(Y) + L^{q_1}(Y)\) that restricts to bounded operators \(L^{p_0} \to L^{q_0}\) and \(L^{p_1} \to L^{q_1}\). Let \(M_0, M_1\) be the respective bounds, i.e.,

\[ \begin{cases} ||Tf||_{L^{q_0}} \leq M_0 ||f||_{L^{p_0}} \\ ||Tf||_{L^{q_1}} \leq M_1 ||f||_{L^{p_1}} \end{cases} \]

Then, for any pair \((p, q)\) such that there is a \(t\) in \([0,1]\) for which

\[ \frac{1}{p} = \frac{1-t}{p_0} + \frac{t}{p_1} \qquad \frac{1}{q} = \frac{1-t}{q_0} + \frac{t}{q_1} \]

we have that the operator is bounded \(L^p \to L^q\), and in particular

\[ ||Tf||_{L^q} \leq M_0^{1-t} M_1^t ||f||_{L^p} \]
Proof

For a valid choice of \(p,q\), note that we both need to show \(Tf\) is in \(L^q\) and a bound on the \(L^q\) norm of \(Tf\). Let \(q'\) be the conjugate exponent of \(q\). By Lemma ?? for \(Tf\), we need a bound of the form

\[ \sup _{||g||_{L^{q'}} \leq 1, \ \ g \text{ simple}} \left| \int T(f) g \right| \leq M ||f||_{L^p} \]
  • Case 1: assume \(p{\lt}\infty \) and \(q{\gt}1\), and let \(q', q_0^1, q_1'\) be the conjugate exponents of \(q, q_0, q_1\) respectively.

    • Subcase a: assume \(f=\sum _i a_i \chi _{E_i}\) is a simple function (finite sum with \(E_i\) disjoint of finite measure).
      Let \(g=\sum _j b_j \chi _{F_j}\) be a simple function. By writing \(f\) as \(||f||_{L^p} \cdot \frac{f}{||f||_{L^p}}\) and using linearity of \(T\) and integrals, it suffices to prove the above inequality when \(||f||_{L^p}=1\).
      We want to apply the three lines lemma to an appropriate function. Define

      \[ \gamma (z) = p \left(\frac{1-z}{p_0} + \frac{z}{p_1} \right) \qquad f_z = |f|^{\gamma (z)} \cdot \frac{f}{|f|} \]
      \[ \delta (z) = q' \left(\frac{1-z}{q'_0} + \frac{z}{q'_1} \right) \qquad g_z = |g|^{\delta (z)} \cdot \frac{g}{|g|} \]
      Observe that for \(t\) as in the statement of the theorem, we have by definition that \(\gamma (t)=1\), hence \(f_t=f\).
      Moreover, if \(\mathrm{Re}(z)=0\), we have that \(\mathrm{Re} (\gamma (z)) = \frac{p}{p_0}\), and hence
      \[ ||f_z||_{L^{p_0}} = \left(\int |f_z|^{p_0}\right)^{\frac{1}{p_0}} = \left(\int | |f|^{\gamma (z)} |^{p_0}\right)^{\frac{1}{p_0}} = \left(\int |f| ^{\frac{p}{p_0} \cdot p_0}\right)^{\frac{1}{p_0}} = \left(||f||_{L^p}^p\right)^{\frac{1}{p_0}} = 1^{\frac{1}{p_0}} = 1 \]
      If \(\mathrm{Re}(z)=1\), we have \(\mathrm{Re} (\gamma (z)) = \frac{p}{p_1}\), and the exact same computation replacing \(p_0\) with \(p_1\) now shows that \(||f_z||_{L^{p_1}}=1\).
      Similarly, one shows that
      \[ g_t=g \qquad ||g_z||_{L^{q'_0}} = 1 \text{ if } \mathrm{Re}(z)=0 \qquad ||g_z||_{L^{q'_1}} = 1 \text{ if } \mathrm{Re}(z)=1 \]
      Now, we want to apply the three lines lemma to the function
      \[ \phi (z) := \int (Tf_z) g_z \]
      Since \(f\) and \(g\) are simple and given by the expressions above, we can explicitly write \(f_z\) and \(g_z\) as
      \[ f_z=\sum _i |a_i|^{\gamma (z)} \frac{a_i}{|a_i|} \chi _{E_i} \qquad g_z=\sum _j |b_j|^{\delta (z)} \frac{b_j}{|b_j|} \chi _{F_j} \]
      (here, we use that the \(E_i\) (respectively \(F_j\)) are disjoint, so for every point in the domain there is at most one of the \(E_i\) covering it).
      So, expanding everything by linearity of \(T\) and integrals, we obtain
      \[ \phi (z) = \sum _{i,j} |a_i|^{\gamma (z)} \frac{a_i}{|a_i|} |b_j|^{\delta (z)} \frac{b_j}{|b_j|} \int T(\chi _{E_i}) \chi _{F_j} \]
      This only depends on \(z\) holomorphically in terms of the exponents of the \(|a_i|\) and \(|b_j|\), so it is a holomorphic function on the strip \(S\) in the three lines lemma and it is continuous on \(S\).
      It it also bounded on \(\bar{S}\). In fact, we wrote \(\phi \) as a finite sum, so we only need to show each summand is bounded. Since the real part of \(z\) is between \(0\) and \(1\), the terms \(|a_i|^{\gamma (z)}\) and \(|b_j|^{\delta (z)}\) have bounded norms. Finally, recall that Hölder’s inequality states that \(||fg||_1 \leq ||f||_p ||g||_1\) for conjugate exponents \(p,q\). Hence,
      \[ \left| \int T(\chi _{E_i}) \chi _{F_j} \right| \leq ||T(\chi _{E_i}) \chi _{F_j}||_{L^1} \leq ||T(\chi _{E_i})||_{L^{p_0}} \cdot ||\chi _{F_j}||_{p'_0} \leq M_0 \mu (E_i) \mu (F_j) \]
      which is bounded. Moreover, if \(\mathrm{Re}(z)=0\), since \(||f_z||_{L^{p_0}}=||g_z||_{L^{q'_0}}=1\), we have
      \[ | \phi (z) | \leq \int |(Tf_z) g_z| \leq ||Tf_z||_{L^{q_0}} \cdot ||g_z||_{L^{q'_0}} \leq M_0 \cdot ||g_z||_{L^{q'_0}} \leq M_0 \]
      Similarly, if \(\mathrm{Re}(z)=1\), we obtain
      \[ | \phi (z) | \leq \int |(Tf_z) g_z| \leq ||Tf_z||_{L^{q_1}} \cdot ||g_z||_{L^{q'_1}} \leq M_1 \cdot ||g_z||_{L^{q'_1}} \leq M_1 \]
      Thus, applying the three lines lemma to \(\phi (z)\) yields that
      \[ |\phi (t+yi)| \leq M_0^{1-t} M_1^t \]
      In particular, this holds for \(y=0\), but now
      \[ \phi (t) = \int (Tf_t) g_t = \int (Tf) g \]
      So we have
      \[ \left| \int (Tf) g \right| \leq M_0^{1-t} M_1^t \]
      which is exactly what we wanted to show.

    • Subcase b: Now, let \(f\) be any function in \(L^p\). By density of simple functions, approximate \(f\) by a sequence \({f_n}\) of simple functions with \(||f_n - f||_{L^p} \to 0\).
      By the previous case, we have \(||Tf_n||_{L^q} \leq M ||f_n||_{L^p}\). In particular, the sequence \(\{ Tf_n\} \) is Cauchy in \(L^q\), since

      \[ ||Tf_m - Tf_n||_{L^q} = ||T(f_m-f_n)||_{L^q} \leq M ||f_m - f_n||_{L^p} \]
      and the original sequence is Cauchy. By completeness, the \(\{ Tf_n\} \) converge in \(L^q\), in particular the \(L^q\) norm of the limit is the limit of the \(L^q\) norms, which is less than \(M ||f||_{L^p}\). Hence, it suffices to show that the sequence \(\{ Tf_n\} \) converges almost everywhere to \(Tf\).
      Write \(f= f^U + f^L\) with
      \[ f^U := \begin{cases} f(x) & \text{if } |f(x)|\geq 1 \\ 0 & \text{otherwise} \end{cases} \qquad f^L := \begin{cases} f(x) & \text{if } |f(x)|{\lt} 1 \\ 0 & \text{otherwise} \end{cases} \]
      and similarly \(f_n = f_n^U + f_n^L\).
      Modulo reordering them, assume \(p_0 \leq p_1\), so we have \(p_0 \leq p \leq p_1\). Since \(f\in L^p\), \(f^U\) must be in \(L^{p_0}\) and \(f^L\) in \(L^{p_1}\). Similarly, since \(f_n \to f\) in \(L^p\), we have \(f_n^U \to f^U\) in \(L^{p_0}\) and \(f_n^L \to f^L\) in \(L^{p_1}\).
      By the assumptions of boundedness of \(L\)
      \[ Tf_n^U \to Tf^U \ \text{ in } L^{q_0} \qquad Tf_n^L \to Tf^L \ \text{ in } L^{q_1} \]
      Modulo extracting subsequences, we can assume that the convergence is almost everywhere, so that almost everywhere
      \[ Tf_n (x) = Tf_n^U (x) + Tf_n^L(x) \to Tf^U (x) + Tf(x) = Tf (x) \]
      which is what we wanted to show.

  • Case 2: \(p=\infty \) or \(q=1\).
    If \(p=\infty \), we must also have \(p_0=p_1=\infty \), thus we have

    \[ ||Tf||_{L^{q_0}} \leq M_0 ||f||_{L^{\infty }} \qquad ||Tf||_{L^{q_1}} \leq M_1 ||f||_{L^{\infty }} \]
    Applying Lemma 3.5 with \(Tf, q, q_0, q_1\), we obtain
    \[ ||Tf||_{L^q} \leq ||Tf||_{L^{q_0}}^{1-t} ||Tf||_{L^{q_1}}^{t} \leq M_0^{1-t} M_1^t ||f||_{L^{\infty }} \]
    which is what we wanted.

    If \(p{\lt}\infty \) and \(q=1\), then (since they must be at least \(1\) by definition of \(L^p\) spaces) we have that \(q_0\) and \(q_1\) must also both be \(1\) (for example, since \(\frac{1}{q}\) is a convex combination of the other two reciprocals, the largest one must be \(1\), and from that rearranging terms shows the other one is \(1\)). In this case, take \(g_z=g\) for all \(z\) and repeat the proof above (note:isn’t this what already happens if we do not consider this case separately?).

3.2 Applications of Rietz-Thorin’s Interpolation Theorem

3.2.1 Hausdorff-Young inequalities

Lemma 3.7

Let \(X=[0,2\pi ]\) with normalized Lebesgue measure \(\frac{d\theta }{2\pi }\) and let \(Y=\mathbb {Z}\) with counting measure.
Consider the operator \(T: f \mapsto \{ a_n\} _{n\in \mathbb {Z}}\) where

\[ a_n = \frac{1}{2\pi } \int _0^{2\pi } f(\theta ) e^{-in\theta } d\theta \]

For \(1\leq p\leq 2\) and \(\frac{1}{p}+\frac{1}{q}=1\), we have

\[ ||Tf||_{L^q} \leq ||f||_{L^p} \]
Proof

Observe that we may simply regard \(T\) as an operator \(L^1([0, 2\pi ]) \to L^{\infty }(\mathbb {Z})\) since \(L^2([0, 2\pi ]) \subseteq L^1([0, 2\pi ])\) (compact domain, bound with maximum), and \(L^2(\mathbb {Z}) \subseteq L^{\infty }(\mathbb {Z})\).
Note that the claim corresponds (unless \(q\) is infinity) to the inequality

\[ \left(\sum _{n \in \mathbb {Z}} |a_n|^q \right)^{1/q} \leq \left(\frac{1}{2\pi } \int _0^{2\pi } |f(\theta )|^p d\theta \right)^{1/p} \]

For \(p_0=2\) (thus \(q_0=2\)), this is Parseval’s identity (see tsum_sq_fourierCoeff).
For \(p_1=1\) (thus \(q_1=\infty \)), we can check it directly. Since

\[ a_n = \frac{1}{2\pi } \int _0^{2\pi } f(\theta ) e^{-in\theta } d\theta \]

we have

\[ |a_n| \leq \frac{1}{2\pi } \int _0^{2\pi } |f(\theta ) e^{-in\theta }| d\theta \leq \frac{1}{2\pi } \int _0^{2\pi } |f(\theta )| d\theta = ||f||_{L^1} \]

So

\[ ||Tf||_{\infty } = \sup _n |a_n| \leq ||f||_{L^1} \]

Applying Rietz-Thorin’s theorem, we obtain that the claim holds whenever we can find a \(t\in [0,1]\) such that

\[ \frac{1}{p} = \frac{1-t}{p_0} + \frac{t}{p_1} \qquad \frac{1}{q} = \frac{1-t}{q_0} + \frac{t}{q_1} \]

Substituting \(p_0=2\), \(p_1=1\), \(q_0=2\), \(q_1=\infty \),

\[ \frac{1}{p} = \frac{1-t}{2} + t \qquad \frac{1}{q} = \frac{1-t}{2} \]

Now

\[ \frac{1}{p} = \frac{1+t}{2} \ \Rightarrow \ p = \frac{2}{1+t} \]

which for \(t\in [0,1]\) ranges from \(1\) to \(2\).
Moreover, we have

\[ \frac{1}{p} + \frac{1}{q} = \frac{1+t}{2} + \frac{1-t}{2} = 1 \]

i.e., \(p\) and \(q\) are conjugate exponents.
This completes the proof.

Now, we want to obtain a “dual" inequality to the previous one. For this, we consider an operator \(T':L^2(\mathbb {Z}) \to L^2([0, 2\pi ])\) in the opposite direction compared to the previous lemma

\[ T' (\{ a_n\} _{n\in \mathbb {Z}}) := \sum _{n=-\infty }^{\infty } a_n e^{in\theta } \]

The operator is defined on any \(L^p(\mathbb {Z})\) for \(p\leq 2\), since \(L^p(\mathbb {Z}) \subseteq L^2(\mathbb {Z})\). Note that the target expression is indeed in \(L^2([0, 2\pi ])\) again.

Lemma 3.8

For \(1\leq p \leq 2\) and \(q\) conjugate exponent to \(p\), we have

\[ ||T' \{ a_n\} ||_{L^q} \leq ||\{ a_n\} ||_{L^p} \]
Proof

This is similar to the previous corollary. Parseval’s identity gives the case \(p_0=q_0=2\).
For the case \(p_1=1\), \(q_1=\infty \), again

\[ \left| \sum _{n\in \mathbb {Z}} a_n e^{in\theta } \right| \leq \sum _{n\in \mathbb {Z}} \left| a_n e^{in\theta } \right| = \sum _{n\in \mathbb {Z}} |a_n| = ||\{ a_n\} ||_{L^1} \]

i.e.

\[ ||T'\{ a_n\} ||_{\infty } = \sup _{\theta \in [0, 2\pi ]} \left| \sum _{n\in \mathbb {Z}} a_n e^{in\theta } \right| \leq ||\{ a_n\} ||_{L^1} \]

As before, applying Rietz-Thorin’s interpolation theorem concludes the proof.

As a remark, if \(f= T'\{ a_n\} \), then the \(\{ a_n\} \) are the Fourier coefficients of \(f\), yielding (when \(p\neq 1\)) the inequality

\[ \left( \frac{1}{2\pi } \int _0^{2\pi } |f(\theta )|^q d\theta \right)^{1/q} \leq \left( \sum _{n\in \mathbb {Z}} |a_n|^p \right)^{1/p} \]

3.2.2 Extending the Fourier transform

The Rietz-Thorin interpolation theorem also allows us to extend the Fourier transform defined in the previous chapter to a bigger domain.
Let \(V\) be a finite dimensional real inner product space and \(E\) be a normed complex space.
As in Definition 2.1 define the Fourier transform on simple functions \(f\) via the expression

\[ \mathcal{F} (f)(w) = \int e^{-2\pi i \langle v, w \rangle } f(v) \]

We have shown \(\mathcal{F}\) extends to a bounded linear operator \(L^1 \to L^{\infty }\), and to a bounded linear operator \(L^2 \to L^2\) (see Theorem 2.20).
By Rietz-Thorin interpolation theorem, it can be uniquely extended to bounded linear operators \(L^p \to L^q\) whenever \(1\leq p \leq 2\) and \(q\) is conjugate to \(p\).