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A large number of colors and a large ‘t Hooft coupling are different limits. We will first take the color number to infinity at fixed coupling, obtaining a Wilson-loop function valid at both weak and strong coupling. Only then will we approximate that function at large coupling.

Use the finite-rank loop, color counting, and normalized eigenvalue densities. The observable remains the normalized fundamental half-BPS circle in massless four-dimensional N=4 SYM. The flat parent has sixteen real Poincaré supercharges, together with conformal supercharges; taking a limit does not change that field content. The physical target is SU(N)SU(N), whose gauge rank is N−1N-1, with an explicitly labeled U(N)U(N) Gaussian comparison.

Keep the inherited loop prescription and ordinary fundamental trace. With g=gYMg=g_{\rm YM},

λ=g2N,M=2πℓa,WU(N)=∫dM e−2NTr⁡M2/λ N−1Tr⁡eM∫dM e−2NTr⁡M2/λ.(N16.1)\lambda=g^2N,\qquad M=2\pi\ell a,\qquad W_{U(N)}= \frac{\int dM\,e^{-2N\operatorname{Tr}M^2/\lambda} \,N^{-1}\operatorname{Tr}e^M} {\int dM\,e^{-2N\operatorname{Tr}M^2/\lambda}}. \tag{N16.1}

MM and λ\lambda are dimensionless. Localization and the contour were established before this Gaussian calculation; color counting alone would not justify (N16.1).

After diagonalization, the effective eigenvalue action is 2N∑imi2/λ−2∑i<jlog⁡∣mi−mj∣2N\sum_i m_i^2/\lambda-2\sum_{i<j}\log|m_i-m_j|. Apply the density method with ∫ρ(x) dx=1\int\rho(x)\,dx=1. The force equation is

PV⁡∫ρ(y)x−y dy=2xλ.\operatorname{PV}\int\frac{\rho(y)}{x-y}\,dy=\frac{2x}{\lambda}.

The Gaussian solution from the prerequisite has width parameter s=λ/4s=\lambda/4:

ρ0(x)=2πλλ−x2,∣x∣≤λ.(N16.2)\rho_0(x)=\frac{2}{\pi\lambda}\sqrt{\lambda-x^2}, \qquad |x|\leq\sqrt\lambda. \tag{N16.2}

It is zero outside this interval. Its integral is one because the area of the corresponding half-disc is πλ/2\pi\lambda/2. Its resolvent G(w)=2(w−w2−λ)/λG(w)=2(w-\sqrt{w^2-\lambda})/\lambda, with w2−λ∼w\sqrt{w^2-\lambda}\sim w at infinity, has real boundary value 2x/λ2x/\lambda on the cut. This verifies the force as well as normalization. The density is the large-NN limit, not the exact finite-rank density or a list of most probable eigenvalues.

Write z=λ>0z=\sqrt\lambda>0. The limiting loop is

W0(λ)=∫−zzρ0(x)ex dx=2π∫0πezcos⁡θsin⁡2θ dθ.(N16.3)W_0(\lambda)=\int_{-z}^z\rho_0(x)e^x\,dx =\frac2\pi\int_0^\pi e^{z\cos\theta}\sin^2\theta\,d\theta. \tag{N16.3}

The substitution is x=zcos⁡θx=z\cos\theta; both the square root and the Jacobian supply a sine. To evaluate the integral without assuming special-function identities, put x=ztx=zt and expand the exponential. Odd powers integrate to zero. The even moments follow from u=t2u=t^2:

2π∫−11t2n1−t2 dt=2 Γ(n+12)Γ(32)π Γ(n+2)=(2n)!4nn!(n+1)!.\begin{aligned} \frac2\pi\int_{-1}^1 t^{2n}\sqrt{1-t^2}\,dt &=\frac{2\,\Gamma(n+\tfrac12)\Gamma(\tfrac32)} {\pi\,\Gamma(n+2)}\\ &=\frac{(2n)!}{4^n n!(n+1)!}. \end{aligned}

Here Γ\Gamma is the factorial extension, Γ(n+1)=n!\Gamma(n+1)=n!. Dividing each moment by the exponential’s (2n)!(2n)! gives

W0(λ)=∑n=0∞(λ/4)nn!(n+1)!=2I1(λ)λ=1+λ8+λ2192+λ39216+⋯ .(N16.4)\boxed{ W_0(\lambda)=\sum_{n=0}^\infty \frac{(\lambda/4)^n}{n!(n+1)!} =\frac{2I_1(\sqrt\lambda)}{\sqrt\lambda} =1+\frac{\lambda}{8}+\frac{\lambda^2}{192} +\frac{\lambda^3}{9216}+\cdots .} \tag{N16.4}

For integer ν≥0\nu\geq0, the modified Bessel function used here is defined by Iν(z)=∑j≥0(z/2)2j+ν/[j!(j+ν)!]I_\nu(z)=\sum_{j\geq0}(z/2)^{2j+\nu}/[j!(j+\nu)!]. Thus the last equality introduces a name for an already evaluated integral. The ratio of consecutive terms proves convergence for every finite λ\lambda. At λ=0\lambda=0, the continuous answer is one.

There is a useful check on taking this limit inside an unbounded exponential observable. The exact finite-rank sum can be written

WU(N)=eλ/(8N)∑n=0N−1(λ/4)nn!(n+1)!∏j=0n(1−jN).(N16.5)W_{U(N)}= e^{\lambda/(8N)} \sum_{n=0}^{N-1} \frac{(\lambda/4)^n}{n!(n+1)!} \prod_{j=0}^{n}\left(1-\frac jN\right). \tag{N16.5}

For fixed λ≥0\lambda\geq0, every product lies between zero and one and tends to one at fixed nn. The convergent series in (N16.4) therefore bounds the sum, allowing its limit to be taken term by term. This independently establishes the result without assuming that weak convergence of densities controls every unbounded insertion.

The exact central-mode relation is WSU(N)=e−λ/(8N2)WU(N)W_{SU(N)}=e^{-\lambda/(8N^2)}W_{U(N)}. It tends to the same W0W_0 at fixed λ\lambda. The equality of planar answers does not remove this finite-rank distinction. These formulas reproduce Drukker–Gross (2.26)–(2.27).

Now take λ→+∞\lambda\to+\infty in the planar answer. The insertion exe^x selects eigenvalues near the right endpoint x=zx=z. Set x=z−ux=z-u in (N16.3):

W0=22πezz3/2∫02zdu e−uu1/21−u2z.(N16.6)W_0= \frac{2\sqrt2}{\pi}\frac{e^z}{z^{3/2}} \int_0^{2z}du\,e^{-u}u^{1/2} \sqrt{1-\frac{u}{2z}}. \tag{N16.6}

The important distance uu is of order one, while the support width is of order zz. Expanding the last square root at fixed uu gives 1−u/(4z)−u2/(32z2)+⋯1-u/(4z)-u^2/(32z^2)+\cdots. Integrating powers uses ∫0∞e−uuj+1/2du=Γ(j+3/2)\int_0^\infty e^{-u}u^{j+1/2}du=\Gamma(j+3/2). Consequently,

W0(λ)∼2πeλλ3/4[1−38λ−15128λ+O(λ−3/2)].(N16.7)\boxed{ W_0(\lambda)\sim \sqrt{\frac2\pi}\frac{e^{\sqrt\lambda}}{\lambda^{3/4}} \left[ 1-\frac{3}{8\sqrt\lambda} -\frac{15}{128\lambda} +O(\lambda^{-3/2}) \right].} \tag{N16.7}

This is an asymptotic expansion at fixed truncation order, unlike the convergent weak-coupling series. To justify the endpoint expansion, split the integral at u=εzu=\varepsilon z for fixed 0<ε<20<\varepsilon<2. In the first region the square-root Taylor remainder is bounded by a constant times the next power of u/zu/z; its integral has the indicated order. The remaining region is exponentially suppressed by e−εze^{-\varepsilon z}. This explains both the approximation and its domain.

The power λ−3/4\lambda^{-3/4} comes from the square-root edge density and the width of the endpoint region. Retaining only eλe^{\sqrt\lambda} does not approximate W0W_0 with small relative error: its ratio to W0W_0 grows as π/2λ3/4\sqrt{\pi/2}\lambda^{3/4}. It does reproduce the leading term in the logarithm:

log⁡W0=λ−34log⁡λ+12log⁡2π−38λ+O(λ−1).(N16.8)\log W_0=\sqrt\lambda-\frac34\log\lambda +\frac12\log\frac2\pi-\frac{3}{8\sqrt\lambda} +O(\lambda^{-1}). \tag{N16.8}

The endpoint calculation recovers the planar part of Drukker–Gross (3.5), including its first correction.

The N−2N^{-2} topology from color counting predicts a power, not its coupling-dependent coefficient. We can obtain that coefficient from the exact answer. The finite polynomial y(x)=LN−11(x)y(x)=L_{N-1}^{1}(x) obeys xy′′+(2−x)y′+(N−1)y=0xy''+(2-x)y'+(N-1)y=0, verified by matching neighboring powers in its defining finite sum. Substitute x=−λ/(4N)x=-\lambda/(4N) and W=eλ/(8N)y/NW=e^{\lambda/(8N)}y/N to get

λW′′+2W′=(14+λ64N2)W,W(0)=1.(N16.9)\lambda W''+2W' =\left(\frac14+\frac{\lambda}{64N^2}\right)W, \qquad W(0)=1. \tag{N16.9}

Primes here mean λ\lambda derivatives. A regular power series also has W′(0)=1/8W'(0)=1/8. Write W=∑n≥0Bn(λ/4)n/[n!(n+1)!]W=\sum_{n\geq0}B_n(\lambda/4)^n/[n!(n+1)!]. Matching coefficients in (N16.9) yields

B0=B1=1,Bn+1=Bn+n(n+1)4N2Bn−1.B_0=B_1=1,\qquad B_{n+1}=B_n+\frac{n(n+1)}{4N^2}B_{n-1}.

At first order in N−2N^{-2}, sum the increments: Bn=1+n(n2−1)/(12N2)+O(N−4)B_n=1+n(n^2-1)/(12N^2)+O(N^{-4}). Inserting this in the series and using n(n2−1)/[n!(n+1)!]=1/[(n−2)!n!]n(n^2-1)/[n!(n+1)!]=1/[(n-2)!n!] resums the correction:

WU(N)=W0+λ48N2I2(z)+Oλ(N−4),WSU(N)=W0+1N2[λ48I2(z)−λ8W0]+Oλ(N−4).(N16.10)\begin{aligned} W_{U(N)}&=W_0+\frac{\lambda}{48N^2}I_2(z) +O_\lambda(N^{-4}),\\ W_{SU(N)}&=W_0+\frac1{N^2} \left[\frac{\lambda}{48}I_2(z)-\frac{\lambda}{8}W_0\right] +O_\lambda(N^{-4}). \end{aligned} \tag{N16.10}

The subscript on OλO_\lambda means λ\lambda is fixed; it is not a bound uniform in arbitrarily growing coupling. This derives the first term of Drukker–Gross (A.10)–(A.11) and (B.2).

For fixed integer ν\nu, the defining series also gives Iν(z)=π−1∫0πezcos⁡θcos⁡(νθ) dθI_\nu(z)=\pi^{-1}\int_0^\pi e^{z\cos\theta}\cos(\nu\theta)\,d\theta. Near its dominant endpoint θ=0\theta=0, every fixed cos⁡(νθ)\cos(\nu\theta) tends to one. The common Gaussian endpoint therefore gives I2(z)/I1(z)→1I_2(z)/I_1(z)\to1 as z→∞z\to\infty. The leading relative correction for the U(N)U(N) benchmark is

WU(N)−W0W0=λ3/296N2I2(z)I1(z)+Oλ(N−4).(N16.11)\frac{W_{U(N)}-W_0}{W_0} =\frac{\lambda^{3/2}}{96N^2}\frac{I_2(z)}{I_1(z)} +O_\lambda(N^{-4}). \tag{N16.11}

For SU(N)SU(N) subtract λ/(8N2)\lambda/(8N^2) at this order. The strong-coupling expansion and the genus expansion thus test different small quantities:

ApproximationLeading diagnostic
Keep only the leading endpoint prefactor1/λ1/\sqrt\lambda
Keep only the planar expectation valueλ3/2/N2\lambda^{3/2}/N^2 at large λ\lambda
Drop the central Gaussianλ/N2\lambda/N^2

A useful parametric window for the first two is 1≪λ≪N4/31\ll\lambda\ll N^{4/3}. This diagnoses the hierarchy of asymptotic terms; it is not a rigorous uniform error theorem obtained from one coefficient. The exact finite-rank answer remains available to test a chosen pair (N,λ)(N,\lambda).

Worked example: separate two error budgets

Section titled “Worked example: separate two error budgets”

At λ=100\lambda=100, the exact planar value is W0≈534.1976607403W_0\approx534.1976607403. Define a relative error as “approximation divided by the stated exact answer, minus one.” The leading expression in (N16.7) has a 4.0358%4.0358\% error relative to W0W_0. Including −3/(8λ)-3/(8\sqrt\lambda) reduces it to 0.13448%0.13448\%; including the displayed −15/(128λ)-15/(128\lambda) reduces it to 0.012561%0.012561\%.

Finite-rank effects are a separate comparison:

NNWU(N)/W0−1W_{U(N)}/W_0-1WSU(N)/W0−1W_{SU(N)}/W_0-1
100.092424840.09242484−0.03593846-0.03593846
500.003564510.00356451−0.00144079-0.00144079
1000.000890110.00089011−0.00036022-0.00036022

These numbers use the finite polynomial, not a discretized saddle. At N=50N=50, (N16.10) predicts 0.003559110.00355911 and −0.00144089-0.00144089, respectively. Increasing the rank improves this comparison without improving the strong-coupling truncation at fixed λ\lambda.

An independent numerical check represents the semicircle by a half-line tridiagonal operator with adjacent entries z/2z/2. Its vacuum return walks count the same even moments. A finite section of size DD misses no return walk of length below 2D2D; its exponential’s missing contribution is bounded by ∑j≥2Dzj/j!\sum_{j\geq2D}z^j/j!. Diagonalizing that finite operator reproduces (N16.3) with an independently controlled cutoff. Here DD is a numerical truncation, not the gauge color number NN.

The statement “log⁡W\log W has leading term λ\sqrt\lambda” asks for less than a small relative error in WW. The correction to the logarithm suggested by the large-coupling genus expansion is λ3/2/(96N2)\lambda^{3/2}/(96N^2). Comparing this with λ\sqrt\lambda gives λ/N2≪1\lambda/N^2\ll1, the weaker scale appearing in Drukker–Gross (3.6) and its following discussion. Even a subleading correction to a logarithm can exponentiate to a large multiplicative correction. The two criteria address different questions; neither licenses unrestricted exchange of the limits.

For a direct countercheck, hold an integer N≥2N\geq2 fixed and take λ→∞\lambda\to\infty. The highest term of the Laguerre polynomial gives

WU(N)∼(λ/4N)N−1N! eλ/(8N),WSU(N)∼(λ/4N)N−1N! eλ(N−1)/(8N2).(N16.12)\begin{aligned} W_{U(N)}&\sim \frac{(\lambda/4N)^{N-1}}{N!}\,e^{\lambda/(8N)},\\ W_{SU(N)}&\sim \frac{(\lambda/4N)^{N-1}}{N!}\, e^{\lambda(N-1)/(8N^2)}. \end{aligned} \tag{N16.12}

The leading logarithms now grow linearly in λ\lambda, not as λ\sqrt\lambda. This is a different limiting sequence. Likewise, a planar limit at fixed λ\lambda sends g2=λ/Ng^2=\lambda/N to zero, but it need not make the collective parameter λ\lambda small. “Planar,” “weak coupling,” and “strong coupling” are separate statements.

Define A(z)=W0(z2)/[2/π ezz−3/2]A(z)=W_0(z^2)/[\sqrt{2/\pi}\,e^z z^{-3/2}]. Use an inequality for 1−v\sqrt{1-v} on 0≤v≤10\leq v\leq1 to give finite-zz lower and upper bounds on A(z)A(z) as one-dimensional integrals. Derive the next term in (N16.8). Does knowing log⁡W0/z→1\log W_0/z\to1 imply W0/ez→1W_0/e^z\to1?

Hint 1

The chord and tangent bounds are 1−v≤1−v≤1−v/21-v\leq\sqrt{1-v}\leq1-v/2. Keep the original endpoint u=2zu=2z when integrating these inequalities.

Hint 2

For the logarithm, expand log⁡(1+a/z+b/z2)\log(1+a/z+b/z^2) through order z−2z^{-2}, including the square of the first correction.

Solution

Equation (N16.6) gives A(z)=Γ(3/2)−1∫02ze−uu1/21−u/(2z) duA(z)=\Gamma(3/2)^{-1}\int_0^{2z}e^{-u}u^{1/2} \sqrt{1-u/(2z)}\,du. Writing γ(p,x)=∫0xe−uup−1du\gamma(p,x)=\int_0^x e^{-u}u^{p-1}du, the pointwise inequalities give the exact bounds

γ(32,2z)−γ(52,2z)/(2z)Γ(32)≤A(z)≤γ(32,2z)−γ(52,2z)/(4z)Γ(32).\frac{\gamma(\tfrac32,2z)-\gamma(\tfrac52,2z)/(2z)} {\Gamma(\tfrac32)} \leq A(z)\leq \frac{\gamma(\tfrac32,2z)-\gamma(\tfrac52,2z)/(4z)} {\Gamma(\tfrac32)}.

They hold for every z>0z>0; the lower integral is nonnegative because its integrand is. For large zz they approach 1−3/(4z)1-3/(4z) and 1−3/(8z)1-3/(8z) up to exponentially small tails. These are bounds, not equal asymptotic coefficients.

The sharper expansion has a=−3/8a=-3/8 and b=−15/128b=-15/128. Thus b−a2/2=−3/16b-a^2/2=-3/16, and

log⁡W0=z−32log⁡z+12log⁡2π−38z−316z2+O(z−3).\log W_0=z-\frac32\log z+\frac12\log\frac2\pi -\frac{3}{8z}-\frac{3}{16z^2}+O(z^{-3}).

The logarithm divided by zz tends to one, whereas W0/ez∼2/π z−3/2→0W_0/e^z\sim\sqrt{2/\pi}\,z^{-3/2}\to0. A relative statement about logarithms does not become the same relative statement after exponentiation.

At N=100N=100 and λ=400\lambda=400, estimate separately the error from using only the leading endpoint formula and the first relative rank corrections for U(N)U(N) and SU(N)SU(N). Is the leading endpoint formula plausibly a one-percent approximation to the planar answer? What can improve that error without changing NN? State what must still be checked before claiming a one-percent approximation to the finite-rank observable.

Hint 1

Here z=20z=20. The first omitted endpoint term is −3/(8z)-3/(8z). The finite-rank comparison uses I2(z)/I1(z)I_2(z)/I_1(z), and the central term is λ/(8N2)\lambda/(8N^2).

Hint 2

After including the first endpoint correction, the next relative term has size approximately 15/(128z2)15/(128z^2). Error estimates with different denominators should not be silently added as exact equalities.

Solution

The leading endpoint formula misses an approximately 1.875%1.875\% correction; its actual error relative to W0W_0 is about 1.94270%1.94270\%. It fails the proposed one-percent criterion. Including the first correction gives an actual planar error of about 0.031275%0.031275\%, consistent with the next-term estimate 15/(128⋅400)≈0.029297%15/(128\cdot400)\approx0.029297\%. No change in NN was needed.

The first relative rank corrections are

δU=4003/296⋅1002I2(20)I1(20)≈0.00771656,δSU=δU−4008⋅1002≈0.00271656.\delta_U=\frac{400^{3/2}}{96\cdot100^2} \frac{I_2(20)}{I_1(20)} \approx0.00771656,\qquad \delta_{SU}=\delta_U-\frac{400}{8\cdot100^2} \approx0.00271656.

They refer to the finite-rank answer divided by the planar answer, minus one. In particular the central subtraction is 0.0050.005, large enough to matter at the requested precision. The exact U(N)U(N) ratio is approximately 1.007743971.00774397, corroborating the estimate here.

For a finite-rank accuracy claim, combine the chosen approximations with their correct ratios and check the remaining genus terms, for example against the exact finite polynomial. Opposite-signed first corrections can cancel at a selected input; that cancellation alone does not bound omitted terms. Raising NN controls rank corrections, while retaining another endpoint term controls the separate strong-coupling truncation.

3. Increase the winding while holding the theory fixed

Section titled “3. Increase the winding while holding the theory fixed”

Replace the insertion by N−1Tr⁡epMN^{-1}\operatorname{Tr}e^{pM} for a positive integer winding pp. Derive its planar answer and its leading large-coupling rank diagnostic. Can a rank that approximates the singly wound circle well be inadequate for a multiply wound one? Evaluate this question for N=100,λ=400N=100,\lambda=400 and p=1,2,4p=1,2,4. This is one wound trace, not a product of pp separate traces.

Hint 1

Either replace zz by pzpz in the density integral or rescale the entire Gaussian matrix by pp. The effective argument is p2λp^2\lambda.

Hint 2

The relative genus-one diagnostic grows as the three-halves power of that argument. The central factor changes as its first power.

Solution

The density remains that of the original theory; only the insertion changes. Substitution in (N16.3) gives

W0,p(λ)=2I1(pλ)pλ.W_{0,p}(\lambda)=\frac{2I_1(p\sqrt\lambda)}{p\sqrt\lambda}.

Equivalently, the exact finite-rank answer is WU(N)(p2λ)W_{U(N)}(p^2\lambda), with central correction e−p2λ/(8N2)e^{-p^2\lambda/(8N^2)} for SU(N)SU(N). This agrees with Drukker–Gross (4.1)–(4.2).

For pλ≫1p\sqrt\lambda\gg1, the leading relative U(N)U(N) rank term is p3λ3/2/(96N2)p^3\lambda^{3/2}/(96N^2) times I2(pλ)/I1(pλ)I_2(p\sqrt\lambda)/I_1(p\sqrt\lambda). Its parametric control requires p≪N2/3/λp\ll N^{2/3}/\sqrt\lambda, up to the displayed numerical coefficient. The central exponent is instead p2λ/(8N2)p^2\lambda/(8N^2). A result proved with fixed winding cannot be assumed uniform in a growing winding.

For the specified inputs, evaluating the finite polynomials gives

WU(N),pW0,p−1≈{0.00774397,p=1,0.06619345,p=2,0.68269941,p=4.\frac{W_{U(N),p}}{W_{0,p}}-1 \approx \begin{cases} 0.00774397,&p=1,\\ 0.06619345,&p=2,\\ 0.68269941,&p=4. \end{cases}

The fundamental result is within one percent of its planar value, while winding four differs by about 68%68\%. The exact result, rather than a truncated genus series, was used for these comparisons. Increasing winding actually improves the endpoint expansion parameter 1/(pλ)1/(p\sqrt\lambda) while worsening the rank expansion. This is a concrete example of two approximation errors moving in opposite directions.

The planar circle is therefore an exact function of the fixed ‘t Hooft coupling, with a separately derived strong-coupling expansion. Before using an exponential growth law, specify whether the target is the expectation value, its logarithm, or only the logarithm’s leading coefficient—and which parameters remain fixed.

Compare exact, planar, and gravitational predictions builds a rank-extrapolation test from this circle and contrasts it with a fixed-level ABJM observable.