Math 2.0

Functional analysis Interpolation of operators and spaces Theorem

Marcinkiewicz interpolation theorem

Builds on Lp spaceWeak Lp spaceSigma-finite measure

Statement

Let (X,μ)(X, \mu) and (Y,ν)(Y, \nu) be σ-finite measure spaces and let 1≤p0<p1≤∞1 \le p_0 < p_1 \le \infty. Let TT map Lp0(μ)+Lp1(μ)L^{p_0}(\mu) + L^{p_1}(\mu) into the measurable functions on YY. Assume that TT is sublinear: for all f,gf, g and scalars cc, almost everywhere, ∣T(f+g)∣≤∣Tf∣+∣Tg∣,∣T(cf)∣=∣c∣∣Tf∣.\abs{T(f + g)} \le \abs{T f} + \abs{T g}, \qquad \abs{T(c f)} = \abs{c} \abs{T f}. Assume that TT is of weak type (p0,p0)(p_0, p_0): there is A0A_0 with ν({y:∣Tf(y)∣>t})≤(A0∥f∥p0t)p0for all f∈Lp0(μ) and t>0.\nu(\set{y : \abs{T f(y)} > t}) \le \left( \frac{A_0 \norm{f}_{p_0}}{t} \right)^{p_0} \quad \text{for all } f \in L^{p_0}(\mu) \text{ and } t > 0. Assume that TT is of weak type (p1,p1)(p_1, p_1) in the same sense with a constant A1A_1, where for p1=∞p_1 = \infty this means ∥Tf∥∞≤A1∥f∥∞\norm{T f}_\infty \le A_1 \norm{f}_\infty. Then for every pp with p0<p<p1p_0 < p < p_1 there is a constant AA, depending only on pp, p0p_0, p1p_1, A0A_0 and A1A_1, with ∥Tf∥p≤A∥f∥pfor all f∈Lp(μ).\norm{T f}_p \le A \norm{f}_p \quad \text{for all } f \in L^p(\mu).

Remarks

The weak type condition says that TT maps LpiL^{p_i} boundedly into the weak Lp space Lpi,∞L^{p_i,\infty}. The proof writes ∥Tf∥pp=p∫0∞tp−1ν({∣Tf∣>t}) dt\norm{T f}_p^p = p \int_0^\infty t^{p-1} \nu(\set{\abs{T f} > t}) \, dt by the layer cake representation. For each tt, it splits ff into the part where ∣f∣>ct\abs{f} > c t, which lies in Lp0L^{p_0}, and the rest, which lies in Lp1L^{p_1}. The two weak-type bounds and Fubini's theorem then give the bound.

Example: the Hardy–Littlewood maximal function operator MM on ℝn\R^n is of weak type (1,1)(1, 1), and ∥Mf∥∞≤∥f∥∞\norm{M f}_\infty \le \norm{f}_\infty. The theorem gives ∥Mf∥p≤Ap∥f∥p\norm{M f}_p \le A_p \norm{f}_p for 1<p<∞1 < p < \infty.

The endpoints are not included in the conclusion. The maximal operator is not bounded on L1(ℝn)L^1(\R^n): for ff the indicator function of the unit ball, Mf(x)M f(x) is of order ∣x∣−n\abs{x}^{-n} for large ∣x∣\abs{x}, which is not integrable.

Going deeper

For a student

In harmonic analysis one usually proves a weak (1,1)(1, 1) bound by a covering or Calderón–Zygmund argument and an L2L^2 or L∞L^\infty bound by other means. Marcinkiewicz interpolation then gives all the LpL^p bounds in between. Compared with the Riesz–Thorin theorem, it needs less (weak type, sublinearity) and gives less (an unspecified constant). There is also an off-diagonal version, from weak type (pi,qi)(p_i, q_i) to strong type (p,q)(p, q), which requires p0≤q0p_0 \le q_0, p1≤q1p_1 \le q_1, q0≠q1q_0 \ne q_1, and gives the conclusion for p≤qp \le q.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Lp space concept
  2. Sigma-finite measure concept
  3. Weak Lp space concept
  4. Marcinkiewicz interpolation theorem statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Marcinkiewicz_interpolation_theorem
About this page
TagR1PHMVBJ9J
URIm2://R1PHMVBJ9J
Kindstatement, theorem
WritingW0 stub
MSC46B70, 46E30, 42B25
StatusThis copy of the site has no build data. Run m2 status R1PHMVBJ9J.
AboutLp space, Weak Lp space
UsesLp space, Weak Lp space, Sigma-finite measure
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Changed2 November 2026

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