Power Singularities and Integrability Near Zero
A function can be finite at every point of \((0,1)\) and still fail to be integrable because it grows without bound near the missing endpoint \(0\). The powers \(x^{-a}\) give a precise test of how much growth \(L^p\) can accommodate. The resulting threshold also supplies a direct way to see that the finite-measure inclusion from \(L^q\) into \(L^p\), when \(p<q\), can be strict.
Throughout, the measure space is \(((0,1),\mathcal{L}_{(0,1)},m)\), where \(\mathcal{L}_{(0,1)}\) is the Lebesgue sigma-algebra restricted to \((0,1)\), and \(m\) is Lebesgue measure. This is a complete finite measure space with \(m((0,1))=1\). For \(a\in\mathbb{R}\), let \(f_a(x)=x^{-a}\) for \(0<x<1\). Each \(f_a\) is a finite, real-valued measurable function at every point of this interval.
The Exact Membership Threshold
Proof. Fix \(1\le p<\infty\). Since \(f_a\) is positive, \(|f_a(x)|^p=x^{-ap}\). The nonnegative Lebesgue integral can be computed by first integrating over \((\delta,1)\) and then letting \(\delta\downarrow0\). If \(ap\ne1\), direct integration gives $$ \int_\delta^1 x^{-ap}\,dx=\frac{1-\delta^{1-ap}}{1-ap}. $$ If \(ap<1\), then \(1-ap>0\) and \(\delta^{1-ap}\to0\), so the integral over \((0,1)\) is \(1/(1-ap)<\infty\). If \(ap>1\), then \(1-ap<0\), so \(\delta^{1-ap}\to\infty\) and the displayed integrals tend to \(+\infty\). At the critical value \(ap=1\), direct integration instead gives $$ \int_\delta^1 \frac{1}{x}\,dx=-\ln\delta\longrightarrow+\infty. $$ Thus membership holds exactly when \(ap<1\), and taking the \(p\)-th root of the finite integral gives the stated norm. For \(p=\infty\), if \(a\le0\), then \(f_a(x)=x^{-a}\le1\) on \((0,1)\). If \(a=0\), it is identically \(1\). If \(a<0\), write \(b=-a>0\), so \(f_a(x)=x^b\). For every \(c<1\) with \(c\ge0\), the set \(\{x:x^b>c\}\) has positive measure: for \(0<c<1\) it is \((c^{1/b},1)\), of measure \(1-c^{1/b}>0\), and for \(c=0\) it is all of \((0,1)\). Hence the essential supremum is \(1\). If \(a>0\), then for every \(K\ge1\), \(\{x:f_a(x)>K\}=(0,K^{-1/a})\), which has positive measure \(K^{-1/a}\). No finite bound holds almost everywhere, so \(f_a\notin L^\infty(0,1)\). This proves both cases. \(\square\)
The condition is strict: the critical exponent is not included. For finite \(p\), the threshold is \(a=1/p\); at that value the \(p\)-th power is \(1/x\), whose integral diverges logarithmically. For \(a<1/p\), the exact norm formula also records how the norm grows as \(a\) approaches the threshold from below.
Worked Example: A Function in L2 but Not L4
Consider \(f(x)=x^{-1/4}\) on \((0,1)\). For \(p=2\), the product of the exponent and \(p\) is \((1/4)2=1/2<1\). The theorem gives $$ \int_0^1 |f(x)|^2\,dm(x)=\int_0^1 x^{-1/2}\,dx=\frac{1}{1-1/2}=2, \qquad \|f\|_2=\sqrt{2}. $$ For \(p=4\), the product is \((1/4)4=1\), so the critical case applies. More explicitly, for \(0<\delta<1\), $$ \int_\delta^1 |f(x)|^4\,dx=\int_\delta^1\frac{1}{x}\,dx=-\ln\delta\longrightarrow+\infty. $$ Thus \(f\in L^2(0,1)\) but \(f\notin L^4(0,1)\). Check: the square has exponent \(-1/2\), and its antiderivative is \(2\sqrt{x}\), giving \(2-0=2\); the fourth power has exponent \(-1\), producing the divergent logarithm.
Worked Example: Integrable but Not Essentially Bounded
Let \(g(x)=x^{-1/2}\). Its \(L^1\) integral is $$ \int_0^1 g(x)\,dx=\frac{1}{1-1/2}=2, $$ so \(g\in L^1(0,1)\) and \(\|g\|_1=2\). For every \(K\ge1\), the strict tail set is $$ \{x\in(0,1):|g(x)|>K\}=(0,K^{-2}), $$ which has measure \(K^{-2}>0\). Consequently \(g\) is not essentially bounded and does not belong to \(L^\infty(0,1)\). Check: integrating only from \(\delta\) to \(1\) gives \(2(1-\sqrt{\delta})\), which tends to \(2\) as \(\delta\downarrow0\); meanwhile, the positive-measure tail at every finite \(K\) rules out an almost-everywhere bound.
Worked Example: A Negative Exponent and the L-infinity Norm
Take \(h(x)=x^{1/2}=x^{-(-1/2)}\), so the power parameter is \(a=-1/2\). For \(p=3\), \(ap=(-1/2)3=-3/2<1\). Directly, $$ \int_0^1 |h(x)|^3\,dx=\int_0^1 x^{3/2}\,dx=\frac{1}{1+3/2}=\frac{2}{5}, \qquad \|h\|_3=\left(\frac25\right)^{1/3}. $$ Also \(0<h(x)<1\) everywhere, and for every \(0\le K<1\), the set \(\{x:h(x)>K\}\) has measure \(1-K^2>0\) (for \(K=0\), the set is all of \((0,1)\), also of measure \(1\)). Therefore \(\|h\|_\infty=1\). Check: the antiderivative of \(x^{3/2}\) is \((2/5)x^{5/2}\), yielding \(2/5\) at \(1\) and \(0\) at \(0\); the tail measures \(1-K^2\) are positive for every \(K<1\), verifying the essential supremum.
Finite-Measure Embeddings Can Be Strict
On a finite measure space, the finite-measure embedding says that if \(1\le p<q\le\infty\), then \(L^q\) is contained in \(L^p\). Here, containment means that every \(L^q\) equivalence class is also an \(L^p\) equivalence class. In the present space, the containment follows from Hölder's inequality when \(q<\infty\): for \(f\in L^q(0,1)\), apply Hölder to \(|f|^p\) and \(1\), with exponents \(q/p\) and \(q/(q-p)\). Since \(m((0,1))=1\), this gives $$ \int_0^1 |f|^p\,dm\le \left(\int_0^1|f|^q\,dm\right)^{p/q}. $$ For \(q=\infty\), the defining bound \(|f|\le\|f\|_\infty\) almost everywhere gives \(\int_0^1|f|^p\,dm\le\|f\|_\infty^p\). These inclusions do not assert equality of the spaces.
Proof. The finite-measure embedding just stated gives \(L^q(0,1)\subseteq L^p(0,1)\). To prove that the inclusion is proper, we construct an element of \(L^p(0,1)\) that is not in \(L^q(0,1)\), treating the two possibilities for \(q\). If \(q<\infty\), take \(a=1/q\) and \(f(x)=x^{-1/q}\). Then \(ap=p/q<1\), because \(p<q\), so the membership theorem gives \(f\in L^p(0,1)\). But \(aq=1\), the critical case, so \(f\notin L^q(0,1)\). If \(q=\infty\), then \(p<\infty\); take \(a=1/(2p)>0\) and \(f(x)=x^{-1/(2p)}\). Here \(ap=1/2<1\), so \(f\in L^p(0,1)\), while every positive \(a\) gives \(f_a\notin L^\infty(0,1)\). In either case there is a class in \(L^p(0,1)\) that is not in \(L^q(0,1)\), proving proper inclusion. \(\square\)
Worked Example: Choosing a Witness for L1 but Not L-infinity
For \(p=1\) and \(q=\infty\), the construction in the proof chooses \(a=1/(2p)=1/2\), giving \(f(x)=x^{-1/2}\). The calculations are $$ \int_0^1 |f(x)|\,dx=\frac{1}{1-1/2}=2<\infty, \qquad \{x:f(x)>K\}=(0,K^{-2})\quad(K\ge1). $$ Each tail has measure \(K^{-2}>0\). Thus this particular function witnesses \(L^\infty(0,1)\subsetneq L^1(0,1)\). Check: the finite-\(p\) condition is \(ap=(1/2)1=1/2<1\), while the essential-boundedness condition fails because \(a=1/2>0\). The integral value and the tail-set test agree with the two membership conclusions.
The Critical Case and a Common Mistake
A frequent error is to apply the formula \(1/(1-ap)\) at \(ap=1\), or to treat the condition as \(ap\le1\). At the boundary, that formula has a zero denominator and does not describe a finite integral. The correct calculation uses the logarithmic antiderivative. For example, with \(p=2\) and \(a=1/2\), the truncated integral is $$ \int_\delta^1 |x^{-1/2}|^2\,dx=\int_\delta^1\frac{1}{x}\,dx=-\ln\delta, $$ which tends to \(+\infty\), not to a finite value. The condition \(ap<1\) must therefore be strict.
The distinction between finite-\(p\) integrability and essential boundedness is also important. A power with \(0<a<1/p\) is in \(L^p(0,1)\), yet it is not in \(L^\infty(0,1)\). In contrast, when \(a\le0\), the function is bounded by \(1\), and is also in every finite \(L^p(0,1)\). The inclusion \(L^q\subseteq L^p\) for \(p<q\) is consequently a one-way statement in general, not an equality of spaces.
Check Your Understanding
Use the strict threshold \(ap<1\), and distinguish finite-\(p\) integrability from essential boundedness.
- For which real \(a\) does \(x^{-a}\) belong to \(L^3(0,1)\)? When it does, state its \(L^3\) norm.
- Determine whether \(x^{-1/3}\) belongs to \(L^3(0,1)\), and identify the integral that decides the critical case.
- Give an explicit power in \(L^2(0,1)\) that is not in \(L^\infty(0,1)\), and verify both claims.
- For finite \(1\le p<q\), choose a power that belongs to \(L^p(0,1)\) but not \(L^q(0,1)\).
- Explain why \(x^{1/2}\) has essential supremum \(1\) even though it is strictly less than \(1\) at every point of \((0,1)\).