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WHAT WE SHOULD HAVE LEARNED FROM G. H. HARDY ABOUT QUANTUM FIELD THEORY UNDER EXTERNAL CONDITIONS S. A.FULLING Mathematics Department, Texas A&M University, College Station, TX 77843, USA E-mail: [email protected] 1 Reminder of the Phenomena Toestablishthesettingofthispresentation,considerasanexampletheclassic problem of a scalar (cid:12)eld in a box. More precisely, consider a \Casimir slab" of width L in 4-dimensional space-time, with the energy-momentum tensor associated with minimal gravitational coupling. With the spatial operator in the (cid:12)eld equation, H =−r2, several quantities are associated: 1.1 Vacuum energy In the 1970s considerable attention was directed to de(cid:12)ning and calculating the local density of energy in such situations.2 It was found that there are two contributions. First, there is a constant energy density throughout the space, proportional to L−4. It is variously described as being related to the (cid:12)nitesizeofthebox,tothediscretenessofthespectrumofnormalmodes,and to the existence of a closed geodesic (or classical path) of length 2L. This is the scalar analog of the classic Casimir e(cid:11)ect. It persists in a closed universe without boundary. Second, there is a divergentdistribution of energyclinging to the walls: T (x) / x−4, when x is the distance to the nearest wall. It 00 persists in an in(cid:12)nite space with only one wall. We may say that this e(cid:11)ect is caused by the existence of the boundary, the spatial inhomogeneity near the boundary of the set of mode functions, and the length (2x) of a path that reflects from the boundary and returns to the observation point. Therefore, with some exaggeration in the eyes of an experimentalist, we can say: By observingvacuumenergylocally, wecantellhowbig the worldis (L)andhow far we are from its edge (x). 1 1.2 The heat kernel expansion Expanding heat kernels has long been a favorite industry of many, myself included. For any positive operatorH, thRe heat kernelK(t;x;y)(cid:17)e−tH(x;y) is the Green function such that u(x) = K(t;x;y)f(y)dy solves the initial- value problem −@u = Hu, u(0;x) = f(x). It is well known that K has an @t asymptotic expansion " # X1 K(t;x;x)(cid:24)(4(cid:25)t)−m=2 1+ a (x)tn ; (1) n n=1 (m=spatialdimension)wherea (x)isalocal functionalofthecurvature,etc. n (covariantfunctionalsofthecoe(cid:14)cientfunctionsintheseond-orderdi(cid:11)erential operator H) at x. In particular, a is identically zero inside our box (where n H = −r2). By studying the heat kernel expansion, you will never discover the Casimir e(cid:11)ect! 1.3 Schr¨odinger and Schwinger{DeWitt kernels The function U(t;x;y) (cid:17) e−itH(x;y) is obtained formally by replacing t in the heat kernel by it. When H is an elliptic operator, a quantum-mechanical Hamiltonian, U is the propagatorthat solves the time-dependent Schr¨odinger equation. When H is a hyperbolic operator and t a (cid:12)ctitious proper time, U is the Schwinger{DeWitt kernel used in renormalization of quantum (cid:12)eld theories. TherotationofthetcoordinateinEq.(1)isalgebraicallytrivial,but the resulting expansion is, in general, invalid if taken literally! This is most easily seen by letting our space be the half-space R , for which the problem + can be solved exactly by the method of images: h i U(t;x;y)(cid:24)(4(cid:25)it)−1=2 eijx−yj2=4t−eijx+yj2=4t : (2) Passing to the diagonal, we have h i U(t;x;x)(cid:24)(4(cid:25)it)−1=2 1−eix2=t ; (3) and we see that the reflection term is exactly as large as the \main" term, in blatant contradiction to the alleged asymptotic expansion (1) (which in this case consists just of the main term and an implied error term vanishing faster than any power of t). Does this mean that the Schwinger{DeWitt series, to which so many graduate students have devoted their thesis years, is nothing but a snare and a delusion? Heaven forbid! The information in that series 2 is meaningful when used correctly (for example, in renormalization theory). In fact, the second term in Eq. (3), although large, is rapidly oscillatory, and consequentlytheseriesisindeedvalidinvariousdistributionalsenses,asIshall partially explain below. 1.4 The cylinder kernel p The Green function T(t;x;y) (cid:17) e−t H(x;y) solves the (elliptic) boundary- value problem @2u = Hu, u(0;x) = f(x), u(t;x) ! 0 as t ! +1 (i.e., @t2 Rin a semi-in(cid:12)nite cylinder with our spatial manifold as its base) by u(x) = T(t;x;y)f(y)dy. The cylinder kernel T shares many of the properties of vacuum energy (hT i) and the latter’s progenitor, the Wightman two-point 00 function (W(t;x;y) (cid:17) h(cid:30)(t;x)(cid:30)(0;y)i), a Green function for the wave equa- tion @2u = −Hu; however, T is technically simpler in several ways. Its study @t2 thereforedeservesourattention,eventhoughithasnodirectphysicalinterpre- tationwithtasatimecoordinate. Foranexampleweonceagainconsiderone space dimension, whereH =− @2 (so we’re dealing with very classicalGreen @x2 functions for thetwo-dimensionalLaplaceequation). Ifthe spatialmanifoldis the entire real line, the kernel is t 1 T (t;x;y)= ; (4) 0 (cid:25) (x−y)2+t2 whereas if the space is R , the problem can again be solved by images: + (cid:20) (cid:21) t 1 1 T (t;x;y)= − : (5) + (cid:25) (x−y)2+t2 (x+y)2+t2 Passing to the diagonal and making a Taylor expansion, we get (cid:20) (cid:21) 1 t2 T (t;x;x)= 1− +(cid:1)(cid:1)(cid:1) : (6) + (cid:25)t (2x)2 Thus we see that the asymptotic expansion of the cylinder kernel does probe x (and also L, in a (cid:12)nite universe), as the vacuum energy does. On the other hand, hT i and W share some of the delicate analytical complications of U, 00 whereas T is about as well-behaved as K. 1.5 Summary and synopsis ThefourGreenfunctions T,U,K,W demonstratetwodistinctions(Table1): that between local and global dependence on the geometry, and that between pointwise and distributional validity of their asymptotic expansions (and, as we’ll see, of their eigenfunction expansions also). 3 Table1: AsymptoticpropertiesofGreenfunctions. Pointwise Distributional Local K U Global T W The main points I wish to make are: (cid:15) Asalreadyremarked,thesmall-texpansionofT containsnonlocalinfor- mation not present in the corresponding expansion of K. (cid:15) Nevertheless, both these expansions are determined by the high-energy asymptoticbehaviorofthedensityofstates,or,moregenerally,thespec- tral measures, of the operator H. (cid:15) Thedetailedrelationshipsamongalltheseasymptoticdevelopmentsare, at root, not a matter of quantum (cid:12)eld theory, nor even of partial dif- ferential equations or operators in Hilbert space. They are instances of some classical theory on the summability of in(cid:12)nite series and integrals, developed circa 1915.9;10 2 Spectral Densities The Green functions have spectral expansions in terms of the eigenfunctions of H. If the manifold is R and H =− @2 , the heat, cylinder, and Wightman @x2 kernels are Z 1 1 K (t;x;y)= dke−tk2eikxe−iky; (7) 0 2(cid:25) −1 Z 1 1 T (t;x;y)= dke−tjkjeikxe−iky; (8) 0 2(cid:25) −1 Z 1 1 e−itjkj W (t;x;y)= dk eikxe−iky: (9) 0 4(cid:25) jkj −1 On the other hand, we can vary the space, or the operator; for instance, the heat kernel for R is + Z 1 2 K (t;x;y)= d!e−t!2 sin!xsin!y; (10) + (cid:25) 0 4 while that for a box of length L is X1 2 n(cid:25)x n(cid:25)y K (t;x;y) = e−t(n(cid:25)=L)2 sin sin L L L L n=1 Z 1 X1 (cid:16) (cid:17) 2 n(cid:25) = d!e−t!2 (cid:14) !− sin!xsin!y: (11) L L 0 n=1 In general, each object can be written in the schematic form Z 1 g(t!)dE(!;x;y); (12) 0 where dE is integrationwith respect to the spectral measureof a givenH (on a given manifold) and g is the kernel of a certain integral transform (Laplace, Fourier,etc.) de(cid:12)ning the Green function in question. (To (cid:12)t someof the ker- nels into the mpold (12), it is necessaryto rede(cid:12)ne some variables, for example replacing t by t.) Spectral measures or densities are in a sense more fundamental and more directly relevant than Green functions, since all functions of H can be ex- pressed immediately in terms of them. However, the kernels (especially K and T) are more accessible to calculation and analytical investigation. 3 Riesz{Ces(cid:18)aro Means Eq. (12) is an instance of the general structure Z (cid:21) f((cid:21))(cid:17) a((cid:27))d(cid:22)((cid:27)); (13) 0 where (cid:22) is some measure, such as E((cid:27);x;y). (For a totally continuous spec- trum, d(cid:22)((cid:27)) equals (cid:22)0((cid:27))d(cid:27) where (cid:22)0 is a function, which wPe call the spectral density. Foratotallydiscretespectrum,d(cid:22)((cid:27))isoftheform c (cid:14)((cid:27)−(cid:27) )d(cid:27). n n n If E((cid:27);x;x) is integrated over a compact manifold, then the corresponding (cid:22)0((cid:27)) becomes the density of states, and (cid:22)((cid:21)) becomes the counting function | the number of eigenvalues less than (cid:21).) If a = 1, then f is (cid:22) itself. If a=g(t(cid:27)) and (cid:21)!1, then f is one of the kernels previously discussed. Derivatives of negative order of f are de(cid:12)ned as iterated inde(cid:12)nite inte- grals, which can be represented as single integrals: Z Z @−(cid:11)f((cid:21)) (cid:17) (cid:21)d(cid:27) (cid:1)(cid:1)(cid:1) (cid:27)(cid:11)−1d(cid:27) f((cid:27) ) (cid:21) 1 (cid:11) (cid:11) 0 Z 0 1 (cid:21) = ((cid:21)−(cid:27))(cid:11)df((cid:27)): (14) (cid:11)! 0 5 The Riesz{Ces(cid:18)aro means of f are de(cid:12)ned from these by a change of normal- ization: Z (cid:16) (cid:17) (cid:21) (cid:27) (cid:11) R(cid:11)f((cid:21))(cid:17)(cid:11)!(cid:21)−(cid:11)@−(cid:11)f((cid:21))= 1− df((cid:27)): (15) (cid:21) (cid:21) (cid:21) 0 If the limit of f((cid:21)) as (cid:21) approaches 1 exists, then R(cid:11)f((cid:21)) also approaches (cid:21) that limit (though perhaps more slowly). On the other hand, R(cid:11)f((cid:21)) may (cid:21) convergeatin(cid:12)nitywhenf((cid:21))doesnot. Inthatcase,R(cid:11)f(1)servestode(cid:12)ne (cid:21) f(1). This extended notion of summability of an in(cid:12)nite integral generalizes the summation of classically divergent Fourier series by Cesa(cid:18)ro means (the averagesof the (cid:12)rst N partial sums). 4 Riesz Means with Respect to Di(cid:11)erent Variables Tothispointournotationhasbeenratherloose,soastodiscussallthevarious kernels in a uni(cid:12)ed, schematic framework without propounding cumbersome de(cid:12)nitions. Now it is necessary to tighten up. Henceforth (cid:21) will denote the eigenvalueparameterofoursecond-orderellipticdi(cid:11)erentialoperatorH,and! will denote its square root, the frequency parameter. (On the real line, where the prototype eigenfunction is (2(cid:25))−1=2eikx, we have (cid:21) = k2 and ! = jkj.) Thus the basic relations are (cid:21)=!2; d(cid:21)=2!d!: (16) This seeming triviality of calculus has surprising impact. For (cid:11) > 0 the Riesz means R(cid:11)(cid:22) andR(cid:11)(cid:22)arenot the same things. In fact, one can calculate (cid:21) ! R(cid:11)(cid:22) in terms of the R(cid:12)(cid:22) with (cid:12) (cid:20) (cid:11), and vice versa.9;11 The striking result (cid:21) ! is that the (cid:21) ! 1 behavior of the R ((cid:22)) is completely determined by that of (cid:21) the R ((cid:22)), but the converse is false; the asymptotics of the R ((cid:22)) depend on ! ! integrals of the R ((cid:22)) over all (cid:21), not just on their asymptotic values. That (cid:21) is, in the passage from (cid:21) to !, new terms in the asymptotic development of R(cid:11)(cid:22) arise as undeterminable constants of integration; in going from ! to (cid:21), ! thereare\magicalcancellations"thatcausethesetermstodisappearfromthe asymptotics of R(cid:11)(cid:22). (cid:21) In more detail: The rigorous asymptotic approximation X(cid:11) R(cid:11)(cid:22)((cid:21))= a (cid:21)(m−s)=2+O((cid:21)(m−(cid:11)−1)=2) (17) (cid:21) (cid:11)s s=0 can be shown, as can the corresponding asymptotic approximation X(cid:11) X(cid:11) R(cid:11)(cid:22)(!)= c !m−s+ d !m−sln!+O(!m−(cid:11)−1ln!); (18) ! (cid:11)s (cid:11)s s=0 s=m+1 s−m odd 6 where (cid:15) c =constant(cid:2)a if s(cid:20)m or s−m is even; (cid:11)s (cid:11)s (cid:15) c is undetermined by a if s>m and s−m is odd; (cid:11)s (cid:11)s (cid:15) d =constant(cid:2)a if s>m and s−m is odd. (cid:11)s (cid:11)s The constants are combinatorial structures (involving mostly gamma func- tions) whose detailed form is not important now. 5 Some Conclusions We can now relate these facts to the spectral theory and physics discussed earlier. 1. From the foregoing it is clear that the ! expansion coe(cid:14)cients of (cid:22) (Eq. (18)) contain more information than the (cid:21) expansion coe(cid:14)cients (Eq. (17)). In the application to quantum (cid:12)eld theory it turns out that the new data are \global" and the old ones are \local". Indeed, the (cid:21) coe(cid:14)cients are in one-to-one correspondence with the terms in the heat kernelexpansion, while the whole list of ! coe(cid:14)cients correspondto the terms in the expansion of the cylinder kernel (see below). 2. TheRieszmeansof(cid:22)((cid:21))(cid:17)E((cid:21);x;y)giverigorousmeaningtotheformal high-frequency expansions obtained by formally inverting the asymp- totics of K and T (i.e., applying the inverse of the appropriate inte- gral transform (12) to the asymptotic expansion term-by-term). The existence of discrete spectra (which makes the exact (cid:22) a step function) shows that those high-frequency expansions cannot be literally asymp- totic. That they neverthelesscanbe givena precisemeaning in terms of someaveragingprocedurewas pointed out by Brownell1 in the ’50s; the connection with Riesz means was drawn by Ho¨rmander.11 3. Similarly, the concepts of Riesz{Cesa(cid:18)ro summation tighten up the con- vergence of the spectral expansions of U and W, and also the t ! 0 asymptotics of those distributions. 7 6 Kernel Expansions from Riesz Means When f and (cid:22) are related by Eq. (13), a Riesz mean of f can be expressed in terms of the corresponding Riesz mean of (cid:22): R(cid:11)f((cid:21)) =a((cid:21))R(cid:11)(cid:22)((cid:21)) (cid:21) (cid:21) (cid:18) (cid:19)Z (cid:11)X+1 (−1)j (cid:11)+1 (cid:21) +(cid:21)−(cid:11) d(cid:27)((cid:21)−(cid:27))j−1(cid:27)(cid:11)@ja((cid:27))R(cid:11)(cid:22)((cid:27)): (19) (j−1)! j (cid:27) (cid:27) j=1 0 InthecaseofEq.(12),Eq.(19)relatestheasymptoticsofthespectrumtothe asymptotics of the kernels. Eq. (17) corresponds to Z 1 X1 K(t)(cid:17) e−(cid:21)td(cid:22)((cid:21))(cid:24) b t(−m+s)=2; (20) s 0 s=0 where Γ((m+s)=2+1) b = a : (21) s ss Γ(s+1) Eq. (18) corresponds to Z 1 X1 X1 T(t)(cid:17) e−!td(cid:22)(cid:24) e t−m+s+ f t−m+slnt; (22) s s 0 s=0 s=m+1 s−m odd wheree andf arerelatedtoc andd inmuchthesamewayasb isrelated s s ss ss s to a .7 (One canconcentrateonthe spectralcoe(cid:14)cients with (cid:11)=s,because ss those with (cid:11)6=s contain no additional information.) Onehastowonderwhether thereissomethingmoreprofoundandgeneral in the Riesz{Hardy theory of spectral asymptotics with respect to di(cid:11)erent variables, waiting to be discovered and applied. We have concentrated on the counterpoint of (cid:21)1=2 versus (cid:21), where the extra data associated with the for- mer is geometrically global in a spectral problem, that associated with the latter strictly local. This geometrical signi(cid:12)cance, of course, we could not have learned from Hardy and Riesz; it has to be observed in the application. The entire development (with di(cid:11)erent exponents in the series) could be re- peatedfor(cid:21)versus(cid:21)2 andappliedtothespectralasymptoticsofH versusH2 (a fourth-order di(cid:11)erential operator). Examinationof the formulas of Gilkey8 for the heat kernel expansion of a fourth-order operator verify that, indeed, there are terms in the asymptotics of H that disappear from the asymptotics ofH2(becausethecombinatorialcoe(cid:14)cientsmultiplyingthemvanish). Inthis case, however, both series are totally local, so there does not appear to be a 8 qualitativedi(cid:11)erence between the two sets of spectral invariants. Is the e(cid:11)ect, therefore, a mere curiosity in that case, or does it have a deeper signi(cid:12)cance? In the other direction, one can expect that the Riesz means with respect to (cid:21)1=3 (and hence, the Green function for the operator e−tH1=3) contain new information di(cid:11)erent from that contained in T; and that (cid:21)1=6 subsumes them both; and so on. Should we care about this new spectral data? Finally, as a wild speculation, might the investigation of these Riesz means with respect to arbitrarilyextreme fractionalpowersoftheeigenparameterprovideaneasy way to get access to at least a part of the detailed spectral information that is encoded in the lengths of the closed geodesics (or periodic classical orbits) of H? 7 Distributional/Ces(cid:18)aro Theory of Spectral Expansions Finally, I shall summarize some more technical mathematics surrounding the Green function integrals (12):4 (cid:15) The locality of the asymptotics of G hinges on the regularity of g at 0. Forexample,thedi(cid:11)erentbehaviorofK andT arisesfromthedistinction p betweene−x (whichhasaTaylorseriesat0)ande− x (whichdoesnot). (cid:15) The pointwise versus distributional/Ces(cid:19)aro validity of the asymptotics ofGhingesonthebehaviorofg atin(cid:12)nity. Thus,thedi(cid:11)erencebetween K and U arises from the contrast between e−x and e−ix. (cid:15) Thelarge-(cid:21)asymptoticsofEisvalid(andlocal)inadistributional/Cesa(cid:18)- ro sense (but usually not pointwise). It remains to explain the term \distributional/Ces(cid:18)aro". The point is that Riesz{Ces(cid:18)aro limits (de(cid:12)ned after Eq. (15)) are equivalent to distributional limits in t, or in (cid:21) or !, under scaling.3 If f belongs to the distribution space D0(R ), thenfor(cid:11)in theinterval(−k−2;−k−1),f(t)=O(t(cid:11))intheCes(cid:18)aro + sense if and only if there exist \moments" (cid:22) ;:::;(cid:22) such that 0 k Xk (−1)j(cid:22) (cid:14)(j)(t) f((cid:27)t)= j +O((cid:27)(cid:11)) (23) j!(cid:27)j+1 j=0 in the topology of D0, as (cid:27) !+1 (with a similar but more complicated state- ment when (cid:11) is an integer). This theorem has applications to both G(t) and E((cid:21)) in the role of f.4;5 9 Acknowledgments The distributional/Cesa(cid:18)ro theory of spectral expansions reported here is pri- marilytheworkofmycollaboratorRicardoEstrada4;6;3;5. RobertGustafson7 combinatorially veri(cid:12)ed the \magical cancellations". Michael Taylor recom- mendedthe studyofthecylinder kernelto me, andStuartDowkeracquainted mewiththeworkofBrownellmanyyearsago. Inoralpresentationsofthisma- terial I show a graph demonstrating Cesa(cid:18)ro summation of Fourier series that was prepared by an undergraduate student, Philip Scales. Finally, I thank Michael Bordag for the hospitality extended to me at the Workshop and the opportunity to disseminate this material in a conference presentation. References 1. F. H. Brownell, Extended asymptotic eigenvalue distributions for bounded domains in n-space, J. Math. Mech. 6, 119 (1957). 2. B. S. DeWitt, Quantum (cid:12)eld theory in curvedspacetime, Phys. Reports 19, 295 (1975). 3. R. Estrada, The Cesa(cid:18)ro behavior of distributions, Proc. Roy. Soc. Lon- don A, to appear. 4. R. Estrada and S. A. Fulling, Distributional asymptotic expansions of spectralfunctionsandoftheassociatedGreenkernels,submittedtoElec- tronic Journal of Di(cid:11)erential Equations (funct-an/9710003). 5. R. Estrada, J. M. Gracia-Bond(cid:19)(cid:16)a, and J. C. Va(cid:19)rilly, On summability of distributions and spectral geometry, Commun. Math. Phys. 191, 219 (1998) 6. R. Estrada and R. P. Kanwal, Asymptotic Analysis: A Distributional Approach (Birkha¨user, Boston, 1994). 7. S. A. Fulling, with appendix by R. A. Gustafson, Some properties of Rieszmeansandspectralexpansions,submittedtoElectronic Journal of Di(cid:11)erential Equations (physics/9710006). 8. P. B. Gilkey, The spectral geometryof the higher order Laplacian,Duke Math. J. 47, 511 (1980). 9. G. H. Hardy, The second theorem of consistency for summable series, Proc. London Math. Soc. 15, 72 (1916). 10. G. H. Hardy and M. Riesz, The General Theory of Dirichlet’s Series (Cambridge U. Press, Cambridge, 1915). 11. L. Ho¨rmander, The spectral function of an elliptic operator, Acta Math. 121, 193 (1968). 10

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