TheoremBase

On a bounded interval, log(b+t) is an antiderivative of 1/(b+t), so the fundamental theorem of calculus and the Riemann-Lebesgue agreement on compact intervals give the integral. On the half-line, the difference is a constant multiple of a positive function; its truncations to (a,a+N) are computed by the bounded case, their integrals converge because log of the ratio (b+a+N)/(c+a+N) tends to 0, and monotone convergence gives integrability and the value.

Proof

Each result cited is universally quantified over the data in its own statement. Throughout, Leb\mathrm{Leb} is Lebesgue measure on B(R)\mathcal{B}(\mathbb{R}); for a Borel set BB and f:B→Rf:B\to\mathbb{R}, f~:R→R\tilde f:\mathbb{R}\to\mathbb{R} is the extension of ff by 00, as in Rays, and Integrability and the Integral of a Real Function on a Borel Subset of the Real Line §integral. Integrals of nonnegative measurable functions are those of Lebesgue Integral of a Nonnegative Measurable Function, with values in [0,∞][0,\infty]; integrals of integrable functions are those of Integrable Function and the Lebesgue Integral, which also records that a measurable f:R→Rf:\mathbb{R}\to\mathbb{R} is integrable if and only if ∫R∣f∣ dLeb<∞\int_{\mathbb{R}}|f|\,d\mathrm{Leb}<\infty. For a real number pp, the singleton {p}\{p\} is the closed interval [p,p][p,p], so Leb({p})=p−p=0\mathrm{Leb}(\{p\})=p-p=0 by claim 4 of Existence of Lebesgue Measure on the Real Line. Every interval is a Borel set by Borel Sigma-Algebra on the Real Line. The real line (R,dR)(\mathbb{R},d_{\mathbb{R}}) is that of The Absolute Value Metric on the Real Line.

Part 1 (bounded intervals). Let a,s,ba,s,b be real with a<sa<s and a+b>0a+b>0.

Positivity. For t∈[a,s]t\in[a,s] we have a≤ta\le t, hence b+a≤b+tb+a\le b+t, and 0<b+a0<b+a; so 0<b+t0<b+t by claim 2 of Elementary Order Arithmetic in an Ordered Field, and moreover (b+t)−1≤(b+a)−1(b+t)^{-1}\le(b+a)^{-1} and 0<(b+t)−10<(b+t)^{-1} by Order Reversal under Reciprocals, and Summability of the Reciprocals of the Squares §reciprocal. Hence u:[a,s]→Ru:[a,s]\to\mathbb{R}, u(t)=(b+t)−1u(t)=(b+t)^{-1}, is well defined, and 0<u(t)≤(b+a)−10<u(t)\le(b+a)^{-1} for every t∈[a,s]t\in[a,s].

Continuity of uu. As maps from subsets of the real line to the real line: the map t↦tt\mapsto t on [a,s][a,s] is continuous by Continuity of the Identity Map, of Powers, and of Polynomial Functions on a Subset of the Real Line §identity; the constant map t↦bt\mapsto b is continuous at every point by claim 1 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space; so t↦b+tt\mapsto b+t is continuous on [a,s][a,s] by claim 5 of the same theorem. It does not vanish on [a,s][a,s], so uu is continuous on [a,s][a,s] by claim 2 of Continuity of the Reciprocal of a Nonvanishing Real-Valued Function on a Metric Space.

An antiderivative. Let I={t∈R:−b<t}I=\{t\in\mathbb{R}:-b<t\} and J={y∈R:0<y}=(0,∞)J=\{y\in\mathbb{R}:0<y\}=(0,\infty). Both are intervals, and every point of each is an interior point: for t0∈It_{0}\in I the points (t0−b)/2(t_{0}-b)/2 and t0+1t_{0}+1 belong to II and satisfy (t0−b)/2<t0<t0+1(t_{0}-b)/2<t_{0}<t_{0}+1 (because −b<t0-b<t_{0}, using claims 1, 6 and 8 of Elementary Order Arithmetic in an Ordered Field), and for y0∈Jy_{0}\in J the points y0/2y_{0}/2 and y0+1y_{0}+1 do the same job (claims 1, 6 and 8 of the same lemma). By the positivity step, 0<b+t0<b+t for t∈[a,s]t\in[a,s], which by claim 1 of Elementary Order Arithmetic in an Ordered Field (adding −b-b) is −b<t-b<t; so [a,s]⊆I[a,s]\subseteq I. Let γ:I→R\gamma:I\to\mathbb{R}, γ(t)=b+t\gamma(t)=b+t; then γ(t)∈J\gamma(t)\in J for every t∈It\in I. At every t0∈It_{0}\in I the map γ\gamma is differentiable with γ′(t0)=1\gamma'(t_{0})=1: the restriction to II of x↦x1=xx\mapsto x^{1}=x has derivative 11 at t0t_{0} by claim 1 of Derivative of a Polynomial Function on the Real Line, the constant map with value bb has derivative 00 by claim 1 of Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, and the derivative of a sum is the sum of the derivatives by claim 2 of that lemma. Next, log⁡:J→R\log:J\to\mathbb{R} (The Natural Logarithm) is differentiable at every y∈Jy\in J in the sense of Derivative at an Interior Point, with derivative 1/y1/y; we check this directly from the definition. Fix y∈Jy\in J and a real ε>0\varepsilon>0. By claims 5, 7 and 8 of Elementary Order Arithmetic in an Ordered Field, y/2y/2 and εy2/2\varepsilon y^{2}/2 are positive, and by claim 9 of that lemma there is a positive real η\eta equal to the smaller of them. Let h∈Rh\in\mathbb{R} satisfy 0<∣h∣<η0<|h|<\eta and y+h∈Jy+h\in J. Since ∣h∣<y/2|h|<y/2, claim 9 of Properties of the Absolute Value in an Ordered Field gives −y/2<h-y/2<h, hence y/2<y+hy/2<y+h by claim 1 of Elementary Order Arithmetic in an Ordered Field (as y−y/2=y/2y-y/2=y/2). Thus r=(y+h)/yr=(y+h)/y is a positive real number (claims 2, 5 and 7 of Elementary Order Arithmetic in an Ordered Field), and log⁡(y+h)=log⁡(r y)=log⁡(r)+log⁡(y)\log(y+h)=\log(r\,y)=\log(r)+\log(y) by the product rule for log⁡\log recorded in The Natural Logarithm. By The Function slog⁡ss\log s: Continuity, Young's Inequality and Lower Bounds, with the Elementary Bounds for the Exponential and the Logarithm §log, 1−r−1≤log⁡(r)≤r−11-r^{-1}\le\log(r)\le r-1, and by field arithmetic r−1=h/yr-1=h/y and 1−r−1=h/(y+h)1-r^{-1}=h/(y+h). Adding −h/y-h/y to both inequalities (compatibility of ≤\le with addition in Ordered Field) gives

−h2y(y+h)=hy+h−hy≤log⁡(y+h)−log⁡(y)−hy≤0,-\frac{h^{2}}{y(y+h)}=\frac{h}{y+h}-\frac{h}{y}\le\log(y+h)-\log(y)-\frac{h}{y}\le0 ,

so, by claims 1, 4 and 6 of Properties of the Absolute Value in an Ordered Field (note h2=∣h∣2h^{2}=|h|^{2}), ∣log⁡(y+h)−log⁡(y)−h/y∣≤∣h∣2 (y(y+h))−1\bigl|\log(y+h)-\log(y)-h/y\bigr|\le|h|^{2}\,\bigl(y(y+h)\bigr)^{-1}. From y/2<y+hy/2<y+h and 0<y0<y we get y2/2<y(y+h)y^{2}/2<y(y+h) by claim 10 of Elementary Order Arithmetic in an Ordered Field, so (y(y+h))−1≤2/y2\bigl(y(y+h)\bigr)^{-1}\le2/y^{2} by Order Reversal under Reciprocals, and Summability of the Reciprocals of the Squares §reciprocal. Dividing by ∣h∣>0|h|>0 (which is legitimate by claim 7 of Elementary Order Arithmetic in an Ordered Field; claim 4 of Properties of the Absolute Value in an Ordered Field gives ∣x/h∣=∣x∣/∣h∣|x/h|=|x|/|h|, multiplication by the nonnegative ∣h∣|h| preserves ≤\le by Ordered Field, and multiplication by the positive 2/y22/y^{2} preserves << by claim 10 of Elementary Order Arithmetic in an Ordered Field),

∣log⁡(y+h)−log⁡(y)h−1y∣≤∣h∣y(y+h)≤2∣h∣y2<2ηy2≤ε.\left|\frac{\log(y+h)-\log(y)}{h}-\frac{1}{y}\right|\le\frac{|h|}{y(y+h)}\le\frac{2|h|}{y^{2}}<\frac{2\eta}{y^{2}}\le\varepsilon .

As ε>0\varepsilon>0 was arbitrary, log⁡\log is differentiable at yy with log⁡′(y)=1/y\log'(y)=1/y. Put F=log⁡∘γ:I→RF=\log\circ\gamma:I\to\mathbb{R}, so F(t)=log⁡(b+t)F(t)=\log(b+t). By Chain Rule for One-Dimensional Derivatives, FF is differentiable at every t0∈It_{0}\in I with

F′(t0)=1b+t0⋅1=1b+t0.F'(t_{0})=\frac{1}{b+t_{0}}\cdot1=\frac{1}{b+t_{0}} .

By Differentiability at an Interior Point Implies Continuity There, FF is continuous at every point of II relative to II, that is, continuous on II as a map from a subset of the real line to the real line; and by claim 1 of Restriction Stability of Continuity and of the Derivative its restriction F∣[a,s]F|_{[a,s]} is continuous on [a,s][a,s]. Every xx with a<x<sa<x<s is an interior point of [a,s][a,s], so by claim 2 of Restriction Stability of Continuity and of the Derivative the restriction F∣[a,s]F|_{[a,s]} is differentiable at xx with derivative F′(x)=u(x)F'(x)=u(x).

The Riemann integral. By claim 3 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval, the continuous function uu is Riemann integrable on [a,s][a,s]. Hence Fundamental Theorem of Calculus, Part II, on a Closed Real Interval, applied on [a,s][a,s] to uu and F∣[a,s]F|_{[a,s]}, gives

∫asu(t) dt=F(s)−F(a)=log⁡(b+s)−log⁡(b+a).\int_{a}^{s}u(t)\,dt=F(s)-F(a)=\log(b+s)-\log(b+a).

The Lebesgue integral over [a,s][a,s]. Let ([a,s],B[a,s],λ[a,s])([a,s],\mathcal{B}_{[a,s]},\lambda_{[a,s]}) be the restricted measure space of claim 1 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval. By claim 3 of that lemma, uu is a random variable on the associated probability space, hence B[a,s]\mathcal{B}_{[a,s]}-measurable; so by claim 2 of that lemma its zero extension w:R→Rw:\mathbb{R}\to\mathbb{R} (equal to uu on [a,s][a,s] and to 00 elsewhere) is measurable. By the positivity step, 0≤w≤(b+a)−11[a,s]0\le w\le(b+a)^{-1}\mathbf{1}_{[a,s]} pointwise, so by claim 1 of Linearity and Monotonicity of the Lebesgue Integral and The Integral of an Indicator Function is the Measure of the Set,

∫R∣w∣ dLeb≤(b+a)−1 Leb([a,s])=(b+a)−1(s−a)<∞,\int_{\mathbb{R}}|w|\,d\mathrm{Leb}\le(b+a)^{-1}\,\mathrm{Leb}([a,s])=(b+a)^{-1}(s-a)<\infty ,

using claim 4 of Existence of Lebesgue Measure on the Real Line. Thus ww is integrable. By claim 2 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval (real-valued case), uu is integrable with respect to λ[a,s]\lambda_{[a,s]} and ∫Rw dLeb=∫[a,s]u dλ[a,s]\int_{\mathbb{R}}w\,d\mathrm{Leb}=\int_{[a,s]}u\,d\lambda_{[a,s]}, and by claim 3 of that lemma the latter equals the Riemann integral computed above. Hence

∫Rw dLeb=log⁡(b+s)−log⁡(b+a).\int_{\mathbb{R}}w\,d\mathrm{Leb}=\log(b+s)-\log(b+a).

Passage to the open interval. Let v:(a,s)→Rv:(a,s)\to\mathbb{R}, v(t)=1/(b+t)v(t)=1/(b+t), and let v~\tilde v be its extension by 00. Then v~=w 1(a,s)\tilde v=w\,\mathbf{1}_{(a,s)} pointwise, and (a,s)(a,s) is a Borel set, so v~\tilde v is measurable by claims 1 and 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions. The functions v~\tilde v and ww agree outside {a}∪{s}\{a\}\cup\{s\}, which is null: apply The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §null-union to the sequence N1={a}N_{1}=\{a\}, N2={s}N_{2}=\{s\} and Nm=∅N_{m}=\varnothing for m≥3m\ge3, all null by the preliminary remark (and Leb(∅)=0\mathrm{Leb}(\varnothing)=0), whose union is {a}∪{s}\{a\}\cup\{s\}. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §comparison, v~\tilde v is integrable and ∫Rv~ dLeb=∫Rw dLeb\int_{\mathbb{R}}\tilde v\,d\mathrm{Leb}=\int_{\mathbb{R}}w\,d\mathrm{Leb}. By Rays, and Integrability and the Integral of a Real Function on a Borel Subset of the Real Line §integral, t↦1/(b+t)t\mapsto1/(b+t) is integrable on (a,s)(a,s) and

∫(a,s)dtb+t=log⁡(b+s)−log⁡(b+a).\int_{(a,s)}\frac{dt}{b+t}=\log(b+s)-\log(b+a).

Part 2 (half-lines). Let a,b,ca,b,c be real with a+b>0a+b>0 and a+c>0a+c>0. For t>at>a we have b+t>b+a>0b+t>b+a>0 and c+t>c+a>0c+t>c+a>0 by claims 1 and 2 of Elementary Order Arithmetic in an Ordered Field, so (b+t)−1(b+t)^{-1} and (c+t)−1(c+t)^{-1} exist by claim 7 of that lemma and h:(a,∞)→Rh:(a,\infty)\to\mathbb{R}, h(t)=1b+t−1c+th(t)=\frac{1}{b+t}-\frac{1}{c+t}, is well defined. Put δ=c−b\delta=c-b.

The case δ=0\delta=0. Then c=bc=b, so h(t)=1b+t−1b+t=0h(t)=\frac{1}{b+t}-\frac{1}{b+t}=0 for every t>at>a; and h~(t)=0\tilde h(t)=0 for t≤at\le a by definition of the extension by 00. Hence h~\tilde h is identically 00 on R\mathbb{R}. It is measurable by claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, its positive part h~+\tilde h^{+} and negative part h~−\tilde h^{-} are both the zero function, and each has integral 00 by The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §null-integral (with the null set ∅\varnothing). By Integrable Function and the Lebesgue Integral, h~\tilde h is integrable with ∫Rh~ dLeb=0−0=0\int_{\mathbb{R}}\tilde h\,d\mathrm{Leb}=0-0=0. Moreover a+c=a+ba+c=a+b, so log⁡(a+c)−log⁡(a+b)=0\log(a+c)-\log(a+b)=0. By Rays, and Integrability and the Integral of a Real Function on a Borel Subset of the Real Line §integral, hh is integrable on (a,∞)(a,\infty) with integral 0=log⁡(a+c)−log⁡(a+b)0=\log(a+c)-\log(a+b).

The case δ≠0\delta\ne0: a positive factor. Let k:(a,∞)→Rk:(a,\infty)\to\mathbb{R}, k(t)=((b+t)(c+t))−1k(t)=\bigl((b+t)(c+t)\bigr)^{-1}. By claims 5 and 7 of Elementary Order Arithmetic in an Ordered Field, k(t)>0k(t)>0, and by field arithmetic

h(t)=(c+t)−(b+t)(b+t)(c+t)=δ k(t)(t>a).h(t)=\frac{(c+t)-(b+t)}{(b+t)(c+t)}=\delta\,k(t)\qquad(t>a).

Truncations. For N∈NN\in\mathbb{N}, regarded as a real number N≥1N\ge1, put sN=a+Ns_{N}=a+N, so a<sNa<s_{N}. Let kN:R→Rk_{N}:\mathbb{R}\to\mathbb{R} equal kk on (a,sN)(a,s_{N}) and 00 elsewhere, and let k∞=k~k_{\infty}=\tilde k. By Part 1, applied to (a,sN,b)(a,s_{N},b) and to (a,sN,c)(a,s_{N},c) (note a+b>0a+b>0 and a+c>0a+c>0), the functions t↦1/(b+t)t\mapsto1/(b+t) and t↦1/(c+t)t\mapsto1/(c+t) are integrable on (a,sN)(a,s_{N}); let pN,qNp_{N},q_{N} be their extensions by 00. Then kN=δ−1(pN−qN)k_{N}=\delta^{-1}(p_{N}-q_{N}) pointwise on R\mathbb{R} (on (a,sN)(a,s_{N}) by the identity above, elsewhere both sides vanish). By claim 2 of Linearity and Monotonicity of the Lebesgue Integral and Part 1, kNk_{N} is integrable and

IN:=∫RkN dLeb=δ−1([log⁡(b+sN)−log⁡(b+a)]−[log⁡(c+sN)−log⁡(c+a)]).I_{N}:=\int_{\mathbb{R}}k_{N}\,d\mathrm{Leb}=\delta^{-1}\Bigl(\bigl[\log(b+s_{N})-\log(b+a)\bigr]-\bigl[\log(c+s_{N})-\log(c+a)\bigr]\Bigr).

Since kN≥0k_{N}\ge0, its positive part is kNk_{N} and its negative part is 00, whose integral is 00 by The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §null-integral; so, by Integrable Function and the Lebesgue Integral, INI_{N} is also the integral of kNk_{N} as a nonnegative measurable function.

The limit of INI_{N}. Let rN=(b+sN)/(c+sN)r_{N}=(b+s_{N})/(c+s_{N}), a positive real number. By the product rule for log⁡\log, log⁡(b+sN)=log⁡(rN(c+sN))=log⁡(rN)+log⁡(c+sN)\log(b+s_{N})=\log\bigl(r_{N}(c+s_{N})\bigr)=\log(r_{N})+\log(c+s_{N}), so

IN=δ−1(log⁡(rN)+log⁡(c+a)−log⁡(b+a)).I_{N}=\delta^{-1}\bigl(\log(r_{N})+\log(c+a)-\log(b+a)\bigr).

By The Function slog⁡ss\log s: Continuity, Young's Inequality and Lower Bounds, with the Elementary Bounds for the Exponential and the Logarithm §log, 1−rN−1≤log⁡(rN)≤rN−11-r_{N}^{-1}\le\log(r_{N})\le r_{N}-1, and by field arithmetic

rN−1=−δc+sN,1−rN−1=−δb+sN.r_{N}-1=\frac{-\delta}{c+s_{N}},\qquad 1-r_{N}^{-1}=\frac{-\delta}{b+s_{N}} .

Since b+sN=(a+b)+N>N>0b+s_{N}=(a+b)+N>N>0 and likewise c+sN>Nc+s_{N}>N, Order Reversal under Reciprocals, and Summability of the Reciprocals of the Squares §reciprocal gives (b+sN)−1≤N−1(b+s_{N})^{-1}\le N^{-1} and (c+sN)−1≤N−1(c+s_{N})^{-1}\le N^{-1}. Hence both endpoints 1−rN−11-r_{N}^{-1} and rN−1r_{N}-1 have absolute value at most ∣δ∣N−1|\delta|N^{-1}, and so ∣log⁡(rN)∣≤∣δ∣N−1|\log(r_{N})|\le|\delta|N^{-1}. Given real ε>0\varepsilon>0, claim 2 of The Archimedean Property of the Real Numbers gives n∈Nn\in\mathbb{N} with ∣δ∣<nε|\delta|<n\varepsilon; then for every N≥nN\ge n, again by Order Reversal under Reciprocals, and Summability of the Reciprocals of the Squares §reciprocal, ∣log⁡(rN)∣≤∣δ∣N−1≤∣δ∣n−1<ε|\log(r_{N})|\le|\delta|N^{-1}\le|\delta|n^{-1}<\varepsilon. Thus log⁡(rN)→0\log(r_{N})\to0 in the sense of Limit of a Sequence of Real Numbers. The constant sequence with value log⁡(c+a)−log⁡(b+a)\log(c+a)-\log(b+a) converges to that value, since every term is at distance 0<ε0<\varepsilon from it. Hence, by claims 1 and 3 of Arithmetic of Limits of Real Sequences,

IN→L:=δ−1(log⁡(c+a)−log⁡(b+a))(N→∞).I_{N}\to L:=\delta^{-1}\bigl(\log(c+a)-\log(b+a)\bigr)\qquad(N\to\infty).

Monotone convergence. For N∈NN\in\mathbb{N} we have (a,sN)⊆(a,sN+1)(a,s_{N})\subseteq(a,s_{N+1}) and k>0k>0, so kN≤kN+1≤k∞k_{N}\le k_{N+1}\le k_{\infty} pointwise. For t≤at\le a, kN(t)=0=k∞(t)k_{N}(t)=0=k_{\infty}(t) for every NN; for t>at>a, claim 1 of The Archimedean Property of the Real Numbers gives n∈Nn\in\mathbb{N} with t−a<nt-a<n, and then kN(t)=k(t)=k∞(t)k_{N}(t)=k(t)=k_{\infty}(t) for every N≥nN\ge n. So at every t∈Rt\in\mathbb{R} the nondecreasing sequence (kN(t))N(k_{N}(t))_{N} is eventually equal to k∞(t)k_{\infty}(t); hence it converges to k∞(t)k_{\infty}(t) and its least upper bound is k∞(t)k_{\infty}(t). By claim 5 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, k∞k_{\infty} is measurable, and by Monotone Convergence Theorem, in [0,∞][0,\infty],

∫Rk∞ dLeb=sup⁡NIN.\int_{\mathbb{R}}k_{\infty}\,d\mathrm{Leb}=\sup_{N}I_{N}.

The real sequence (IN)N(I_{N})_{N} is nondecreasing by claim 1 of Linearity and Monotonicity of the Lebesgue Integral and converges to LL. So LL is an upper bound of it: if IN0>LI_{N_{0}}>L for some N0N_{0}, then ∣IN−L∣≥IN0−L>0|I_{N}-L|\ge I_{N_{0}}-L>0 for all N≥N0N\ge N_{0}, contradicting convergence with ε=IN0−L\varepsilon=I_{N_{0}}-L. And no smaller number is an upper bound: for real ε>0\varepsilon>0 some INI_{N} satisfies ∣IN−L∣<ε|I_{N}-L|<\varepsilon, hence IN>L−εI_{N}>L-\varepsilon. Therefore sup⁡NIN=L\sup_{N}I_{N}=L, and ∫Rk∞ dLeb=L\int_{\mathbb{R}}k_{\infty}\,d\mathrm{Leb}=L is finite.

Conclusion. As k∞≥0k_{\infty}\ge0 is measurable with ∫R∣k∞∣ dLeb=L<∞\int_{\mathbb{R}}|k_{\infty}|\,d\mathrm{Leb}=L<\infty, it is integrable by Integrable Function and the Lebesgue Integral, with integral LL (its negative part being 00). Moreover h~=δ k∞\tilde h=\delta\,k_{\infty} pointwise on R\mathbb{R} (on (a,∞)(a,\infty) by the identity h=δkh=\delta k, elsewhere both sides vanish). By claim 2 of Linearity and Monotonicity of the Lebesgue Integral, h~\tilde h is integrable and

∫Rh~ dLeb=δL=log⁡(a+c)−log⁡(a+b).\int_{\mathbb{R}}\tilde h\,d\mathrm{Leb}=\delta L=\log(a+c)-\log(a+b).

By Rays, and Integrability and the Integral of a Real Function on a Borel Subset of the Real Line §integral, hh is integrable on (a,∞)(a,\infty) with ∫(a,∞)h(t) dt=log⁡(a+c)−log⁡(a+b)\int_{(a,\infty)}h(t)\,dt=\log(a+c)-\log(a+b).

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