TOPICS
Search

L^p-Space


An L^p-space on a measure space (X,mu), for a real number p with 1<=p<infty, consists of equivalence classes of measurable functions f:X->F, where F=R or C, whose pth powers of absolute values are integrable. Two functions are identified when they agree almost everywhere with respect to mu (Axler 2026, pp. 202-203). This generalizes the L2-space of square integrable functions.

The L^p norm is

 ||f||_(L^p)=(int_X|f|^pdmu)^(1/p).
(1)

The L^p-space is a Banach space (Axler 2026, p. 205). For p!=2, its norm does not arise from an inner product when the measure space contains two disjoint sets of finite positive measure. A one-point measure space whose point has finite positive measure instead gives a one-dimensional Hilbert space for every such p.

The L^p-space on R^n with Lebesgue measure is the completion of the continuous functions with compact support using the L^p norm. It is possible for a sequence of functions f_n to converge in L^p but not in L^(p^') for some other p^'. For example, f_n(x)=(1+x^2)^(-1/2-1/n) converges in L^2(R) to f(x)=(1+x^2)^(-1/2), which is not in L^1(R). Although every f_n is in L^1(R), the sequence cannot converge there. If a sequence converges in both L^p and L^(p^') on the same measure space, its limits agree almost everywhere (Axler 2026, p. 205).

For 1<p<infty, the dual normed space to L^p is identified with L^q, where 1/p+1/q=1. More precisely, every bounded linear functional is uniquely of the form

 phi_g(f)=int_Xfgdmu,
(2)

where g in L^q and ||phi_g||=||g||_q (Axler 2026, p. 275). The integral exists by Hölder's inequality. In particular, L^2 is self-dual. For complex functions, the inner product form h|->(f|-><f,h>) of this identification is antilinear (Axler 2026, pp. 233-234). On degenerate measure spaces, other L^p-spaces can also be self-dual, as in the one-dimensional example above.

While the use of L^p functions is not as common as L^2, they are very important in analysis and partial differential equations. For instance, some operators are only bounded in L^p for some p>2.

For 0<p<1, the same integrability condition and integral expression define an L^p quasi-norm, which in general need not satisfy the triangle inequality. For any 0<p<infty, the weak L^p space consists of measurable functions with

 ||f||_(L^(p,infty))=sup_(a>0)amu{x:|f(x)|>a}^(1/p)<infty.
(3)

This is a quasi-norm, and L^p is contained in weak L^p (Grafakos 2014, pp. 2-6). The distinction is important for endpoint bounds such as that for the bilinear Hilbert transform.


See also

Banach Space, Completion, Hilbert Space, L2-Space, Lebesgue Integral, Measure, Measure Space

Portions of this entry contributed by Todd Rowland

Explore with Wolfram|Alpha

References

Axler, S. Measure, Integration & Real Analysis. Author-hosted revision, June 12, 2026. https://measure.axler.net/MIRA.pdf.Grafakos, L. Classical Fourier Analysis, 3rd ed. New York: Springer, 2014. https://doi.org/10.1007/978-1-4939-1194-3.

Referenced on Wolfram|Alpha

L^p-Space

Cite this as:

Weisstein, Eric W., with contributions by Todd Rowland. "L^p-Space." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Lp-Space.html

Subject classifications