A spatially uniform time-dependent reaction coefficient can be removed from a linear diffusion equation by a scalar integrating factor. If and , substitution gives . Initial data and boundary values must also be divided by . A nonzero boundary profile can then be removed by boundary lifting before applying separation of variables. This reduction distinguishes growth of the whole amplitude from decay of the spatial diffusion modes.
For constant , variation of this positive functional gives , or . The diffusion equation gives zero-residual minima, but is only a subset of the stationary equations of the squared functional. Each nonzero spatial Fourier mode has both growing and decaying temporal solutions in the stationary equation. Boundary data decide which stationary paths are admissible. In two spatial dimensions, the bulk action is invariant under the anisotropic scale invariance , , .
For a real scalar height field, integration by parts givesThe bulk expression is even under time reversal. The original density is not pointwise even, but changes by a total divergence; its stationary equation is time-reversal invariant. The first-order diffusion equation selected by zero residual is not invariant under ordinary time reversal at fixed positive . Boundary conditions or the probabilistic interpretation can distinguish the two time directions even when the higher-order stationary equation does not.
These Robin boundary conditions give the spatial Sturm-Liouville operator one negative eigenvalue, , with eigenfunction . The other eigenvalues are , with eigenfunctions , ; there is no zero eigenvalue. Hence the diffusion equation has a growing contribution in addition to decaying modes.
There is no contradiction with ordinary diffusive smoothing. The outward normal derivative is at the left endpoint and at the right endpoint, so imposing the same coordinate derivative at both ends does not impose dissipative outward-normal data at both ends. The energy identity is , whose boundary term is here and can supply energy. Orthogonal projection of initial data gives ; it vanishes precisely when the growing mode is absent.
The reflected boundary conditions and have the same spectrum, because reflection reverses the coordinate derivative. Here the growing eigenfunction is and the decaying functions are , givingFor square-integrable initial data , orthogonal projection givesThe norms are and . The spatial Sturm-Liouville problem has no zero eigenvalue and exactly one negative eigenvalue for , namely . The energy boundary term now reads , so the left endpoint can supply energy. The growing mode disappears exactly when .
For positive diffusivity , a diffusion equation with potential-driven drift has diffusive flux . On a finite interval with zero flux at both endpoints, the total amount is conserved. The substitution converts the decay eigenvalue problem to the Sturm-Liouville problemThe Rayleigh quotient is . Its zero eigenfunction is constant, giving the stationary solution . This is a spatial Boltzmann distribution; changes relaxation rates but cancels out of the zero-flux equilibrium profile. For a sufficiently regular positive and bounded , the constant eigenfunction is the unique zero mode up to scale.
A concentration varying over length has Laplacian of order its amplitude divided by . Balancing the time derivative with in the diffusion equation gives the displayed relaxation time. A multiple-scale expansion with spatial scale therefore uses slow time when the effective diffusivity is of order one.
With positive diffusion coefficient , this diffusion equation expresses conservation with flux . For a differentiable coefficient, its spatial operator is , rather than either or alone. A symmetric half-grid diffusion consistency discretization uses the difference of the two adjacent interface fluxes, preserving that divergence structure. Suitable Dirichlet boundary conditions make the spatial operator dissipative in the L2 norm.
Infinite propagation speed means that a disturbance initially confined to a bounded region can affect arbitrarily distant points after any positive time. The strictly positive heat kernel gives this behavior for a nontrivial nonnegative diffusion solution. It contrasts with the finite propagation speed of the wave equation; a very small distant response is still mathematically nonzero.
For with positive periodic , the one-dimensional homogenized diffusivity is the harmonic mean . Microscopic flux continuity produces this harmonic rather than arithmetic averaging.
The porous medium equation with is a nonlinear partial differential equation whose diffusivity vanishes at . Unlike the heat equation, it has compactly supported solutions with finite propagation speed.
For the nonlinear diffusion equation on , the fixed boundary value and zero slope at admit the displayed compact-support similarity solution, with front . Substitution reduces the equation to . The boundary data make the integration constant zero. While , division gives , hence . At its first zero the diffusive flux vanishes, so extension by zero creates no singular flux term. The solution is smooth inside its positive region and is a weak solution at the moving front.
For in three dimensions and total mass , the nonnegative radial source solution is , with . Integrating the similarity equation once gives , and normalization fixes the compact-support radius. The flux vanishes at the moving front, so the profile solves the equation weakly and approaches the prescribed point mass as time tends to zero.
For the planar diffusion equation , a mass-preserving radial similarity solution has . Substitution reduces the equation to when . Zero central flux and give the compact profile shown above, with . Its height decays as and its radius grows as ; its total mass is .
In a porous medium equation with exponent , the effective diffusion coefficient vanishes at zero density. A nonnegative compactly supported source profile can therefore retain a finite front for every finite positive time. For example, the radial cubic-diffusion source profile has support radius proportional to . This notion concerns a moving diffusion front; it does not require the constant characteristic cone used for a wave equation.
Consider a nonlinear diffusion equation with uniform supply, , on , with an absorbing boundary and initially . Far from the boundary, . Balancing the time derivative, supply, and diffusion givesThe similarity solution satisfiesThe outward boundary volume flux per unit width is , where . Integrating the equation givesThus the growing region of depleted storage fixes the discharge prefactor, and .
For on , with and zero right-hand volume flux, a separation of variables giveswhere the positive profile satisfiesIts boundary volume flux per unit width isThese profiles are exact separated solutions and describe the leading long-time discharge for a broad class of positive initial data. The virtual origin depends on the initial profile; it does not make the separated solution an exact representation of every initial condition.
The Barenblatt solution is a mass-preserving similarity solution of the porous medium equation. For in one dimension it has the form
For the planar porous medium equation , the mass- point-source similarity solution is , with and . Its front grows as and its central density falls as . The mass conservation integral uses the planar area element . Although the density slope diverges at the front, its diffusion flux vanishes there, giving a compactly supported weak solution with initial measure .
For , the one-dimensional porous medium equation has a volume-preserving similarity solution , where and . On a reflecting half-line with conserved area , , where . For a whole symmetric release use half its total area as . The Beta function fixes normalization, while finite-front zero volume flux fixes the edge condition.
The source-type similarity solution of with whole-line conserved area is , where and . Its volume flux vanishes at the finite front, while the velocity tends to . A reflecting half-line uses twice its prescribed area in these formulas.
For the radially symmetric equationin two dimensions, the mass- similarity solution has the compactly supported formwhere mass normalization gives . Its support radius grows as and its occupied area grows as .
Fick's laws describe diffusion through a flux law and conservation of mass. The first law says that diffusive flux points down the concentration gradient:Combining it with local conservation gives
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For thermal diffusivity and thermal conductivity , a semi-infinite conductor satisfies for . Take zero initial temperature and constant incoming heat flux . Select the physical solution by boundedness at spatial infinity together with sufficient growth control for the time Laplace transform.
Writing the time transform as gives . The decaying branch is , where . The transformed flux condition gives . Since , inversion gives the displayed surface temperature. More generally the full profile isDifferentiation verifies the heat equation and the applied flux; for every it tends to zero at initial time and decays at spatial infinity. Its surface temperature grows as , because the depth significantly heated by diffusion has the same scale.
On the real line, let . The Fourier transform of a triangular function gives , with value two at zero. The Gaussian heat kernel has transform . Hence solves the heat equation with initial profile , and the inverse Fourier transform gives the displayed integral. Differentiating for positive time is justified by Gaussian decay. The uniform continuity of and the vanishing Gaussian mass outside any fixed neighborhood of zero prove uniform recovery of as . Convolution preserves total integral two, keeps the solution nonnegative, and smooths the corners for every positive time. Unlike the finite-interval problem in heat flow from a triangular initial temperature, this evolution has no endpoints through which heat can escape.
Let a homogeneous plate begin at uniform temperature , cool with zero-temperature Dirichlet boundary conditions until time , then switch to insulated Neumann boundary conditions. For thermal diffusivity , the Fourier sine series during cooling is . Integrating the insulated heat equation shows that its integral average is conserved. All nonconstant Fourier cosine series modes then decay, proving that the final uniform temperature is . Its limits are at zero bath time and zero at infinite bath time. Instantaneous changes of boundary condition can create initial-boundary corner incompatibilities without invalidating the positive-time solution.
Integrate over a periodic cell. Opposite boundary contributions to the Laplacian cancel, so the spatial mean obeys . With no source the mean is conserved, although the local temperature changes. The mean is the zero Fourier mode in a normalized Fourier series convention.
For a spatially constant PDE source term , subtract its time integral from . The result obeys the homogeneous heat equation with the same initial condition. This proves the displayed formula and shows that uniform heating changes only the zero Fourier mode. In an unnormalised discrete Fourier transform, a constant increment adds to the zero-frequency coefficient.
For constant volumetric heat generation rate and thermal conductivity , spherical steady thermal conduction obeys . Regularity at the centre and a specified surface temperature give the displayed parabolic profile. For a black surface radiating into negligible background radiation, global energy conservation gives . The central excess scales as , while the surface temperature scales only as .
For two length- slabs with zero exterior temperatures and perfect thermal contact, put , , and . A separated solution with time factor and exists precisely when the displayed interface determinant vanishes. Dividing by gives a tangent characteristic equation only away from its poles. Common zeros of both cosines are legitimate normal modes and must be retained. The zero-frequency case gives only the trivial solution of a differential equation with these positive material parameters and exterior boundary conditions.
A heat equation problem in adjacent materials with separate thermal conductivities and volumetric heat capacities. Perfect thermal contact imposes continuous temperature and continuous normal heat flux at the interface. Multiplying each material's heat equation by its temperature cancels the interface boundary terms in a weighted energy estimate.
Suppose and two sufficiently regular steady state temperature profiles solve the same heat equation with the same PDE source term and the same Dirichlet boundary condition . Their difference satisfies and on the boundary. The divergence theorem applied to givesThus , and the zero boundary values force on each connected component. The argument proves uniqueness without asserting existence and without replacing the spatially varying thermal conductivity by a constant. For weak solutions, the same calculation is the energy argument obtained by choosing as the test function, under the usual boundedness and positive lower bound assumptions on .
Integrating energy conservation over a fixed material volume gives storage equal to incoming conductive heat flux plus internally generated heat. Here is volumetric heat capacity, with units . For a mass-specific heat capacity, the density factor must be included. Constant isotropic conductivity reduces the divergence to ; variable conductivity must remain inside the divergence.
For a steady state heat equation in a bounded region with zero outward heat flux, integration and the divergence theorem give the necessary compatibility conditionIn particular, a strictly positive PDE source term throughout a region of positive volume makes a steady state impossible. The time-dependent conservation of energy law instead gives : stored thermal energy must grow. This is a compatibility condition on the total source, not a restriction requiring the source to vanish pointwise.
A sinusoidal surface temperature applied to a homogeneous semi-infinite conductor produces a periodic depth profile with penetration length . It follows by substituting a complex exponential into and taking the root that decays at depth. A depth attenuates the amplitude by and delays the phase by . This is diffusion with phase delay, rather than a nondispersive travelling wave.
The thermal penetration depth of a harmonic ground temperature disturbance scales as the inverse square root of its angular frequency. For yearly and daily forcing, a 365-day year gives . At ten daily penetration depths the daily component is attenuated by , whereas the annual one retains about of its surface amplitude. At ten annual penetration depths, even the annual component is attenuated by . These are consequences of the linear thermal diffusion wave model, with homogeneous constant thermal diffusivity.
For positive thermal diffusivity , thermal conductivity and length , subtract the stationary solution . The remainder satisfies the heat equation with a homogeneous Dirichlet boundary condition at zero and a homogeneous Neumann boundary condition at . The mixed Dirichlet-Neumann modes on an interval are , where . Thus for an initial temperature profile ,For zero initial temperature, . The series gives the initial profile in the usual Fourier series sense and a smooth solution for . If , the zero initial profile does not satisfy the prescribed endpoint derivative at : the temperature can be continuous there without its spatial derivative extending continuously to that corner. The sign describes incoming heat flux, since the outward conductive heat flux is .
On with zero-temperature endpoints, let the initial temperature rise linearly from zero to height at and then fall linearly to zero. Integration by parts on the two halves gives Fourier sine series coefficients . Under the heat equation with , each coefficient decays by , giving the displayed solution. Only odd spatial modes occur; absolute coefficient summability proves uniform convergence for via the Weierstrass M-test. This spatial profile also occurs in a midpoint-plucked fixed-end string, where the time factors oscillate instead of decaying.
On a bar of length , let the initial temperature increase linearly from zero at either endpoint to height at the midpoint. With thermal diffusivity and insulated Neumann boundary conditions, a Fourier cosine series gives the displayed solution. Its constant term is the initial integral average . Integration by parts on the two straight segments gives zero coefficients for odd modes and modes divisible by four; the remaining coefficients are . Nonconstant modes decay, leaving the uniform temperature , consistent with conservation of the total heat. This contrasts with the zero-temperature boundary solution in heat flow from a triangular initial temperature, where heat can leave the bar and the limit is zero. The initial endpoint slopes do not satisfy the insulated condition, so derivatives need not converge to their initial endpoint values as ; the series satisfies the Neumann condition for every and recovers the continuous initial profile.
For a square of side initially at constant temperature , held at zero boundary temperature for , the heat equation with has solutionThe double Fourier sine series of the initial constant gives the coefficients. The spatial modes are Dirichlet Laplacian eigenfunctions, so separation of variables gives their decay rates. At late times the mode dominates, giving the displayed profile; the next nonzero decay exponent is . At early times the series approaches the constant at each interior point and in L2 space, while the boundary remains at zero. An instantaneous change to the boundary condition therefore need not produce a solution continuous at the initial boundary in space-time.
For a circle of circumference , the heat equation has periodic matching of both and at . For , the displayed Fourier series solves the initial-value problem, with and the usual real Fourier coefficients. Every nonconstant normal mode decays, leaving the conserved mean. In particular gives , and . The initial cusp is smoothed for every positive time.
For , extend from periodically. The linear term makes both endpoint values zero and the endpoint first derivatives match. The function is odd, so its Fourier series has only sine terms, with the displayed Fourier coefficients. Indeed, for ,subtracting and multiplying by proves the formula. The coefficients decay as . At , the single coefficient has removable limit , with all others zero. Multiplying by solves the corresponding heat equation on the circle.
On , let , with , zero Dirichlet boundary conditions, and zero initial data. Write . Its stationary solution is . Subtracting it removes the forcing from the partial differential equation and leaves a heat equation with initial data .
Because the forcing is a single spatial eigenfunction, separation of variables gives the entire solution without mixing modes:Its integral is ; even modes have zero signed net integral. Removing forcing from the evolution equation does not remove its amplitude from the initial data for the transient.
For a long homogeneous circular wire of radius , uniform volumetric heating , constant thermal conductivity and negligible end losses, the steady heat equation is . Regularity at the axis excludes a logarithm term, giving . If the surface obeys Newton's law of cooling, , then . Here has units and has units . For uniform electric current and constant electrical conductivity , Joule heating gives .
For a diffusion equation with fixed homogeneous boundary conditions, a fundamental diffusion mode is an eigenfunction of its nonnegative decay operator belonging to the smallest decay eigenvalue , when such an eigenvalue exists. It is the slowest decaying separated normal mode. With a discrete spectrum and an isolated lowest eigenvalue, initial data having a nonzero projection onto its eigenspace approach this decay law at late times. Strongly vanishing thermal diffusivity can destroy existence of a lowest mode, as illustrated by the loss of a spectral gap under strongly degenerate radial diffusion.
On , , impose zero Dirichlet boundary conditions at and zero Neumann boundary conditions at . Separation of variables for gives the displayed sine-cosine expansion. The zero cosine mode must be included: its norm is , whereas the positive cosine modes have norm . Thus and for . Expanding gives sine coefficient . Initial data therefore involve only and odd . Their leading long-time mode is .
On the unit interval with zero Dirichlet boundary conditions, has sine-mode growth rates . Every finite-energy initial condition decays exactly when the largest rate is negative, namely . A centered finite difference grid with has eigenvectors and growth rates . Its all-data decay threshold is the displayed , strictly less than and approaching it from below. Equality leaves a stationary lowest mode; exceeding the threshold allows growth.
For in a sphere of radius , with zero surface density and regularity at the origin, the lowest spherically symmetric normal mode is . Substitution of in the radial Laplacian gives , and regularity removes the cosine solution. The Dirichlet boundary condition gives ; a radial mode with no interior zeros requires . Thus diffusion leakage suppresses growth below the displayed threshold, while the mode is stationary at equality. The expression at uses its continuous limit. In a linear neutron multiplication model this is the competition between bulk production and surface loss.
Bounded smooth initial data alone do not guarantee a pointwise large-time limit for the heat equation on Euclidean space. In four dimensions, has modulus one. At the origin its heat kernel average is asymptotic to , which oscillates indefinitely. Initial data vanishing at infinity do have heat averages tending to zero. This distinction matters when using Duhamel principle to construct a stationary solution for a time-independent source.
For zero Dirichlet boundary conditions on the unit square, the modes have heat-reaction growth rates . Their largest rate is . Hence the solution is an L2 norm contraction for and decays uniformly at positive times as when the inequality is strict. At equality the first sine mode is stationary. For larger fixed the equation remains well posed on every finite time interval, but has a growing mode; long-time contractivity is a different property from finite-time well-posedness.
For the sign convention , the heat operator is the differential operator . The heat equation is . If is the positive Laplace-Beltrami operator, the same operator is . A Riemannian heat kernel is a fundamental solution with the initial Dirac delta distribution.
Classical heat equation solutions with identical continuous initial data and a uniform Gaussian spatial growth bound on each finite time interval are unique. For the zero-data difference, choose and compare on a short slab with , where solves the equation for . Its faster spatial growth controls the lateral boundary of large cylinders. The heat equation maximum principle bounds both signs of the difference by inside. Increasing the cylinder radius and then sending to zero proves uniqueness on that slab; repeating slabs covers the finite interval.
A Fourier mode has multiplier , amplifying arbitrarily small high-frequency data. For a fixed positive time , initial modes tend to zero in while their values at grow without bound. This violates continuous dependence on initial data and gives an ill-posed problem in ordinary unweighted spaces. An analytic-data restriction or physical short-scale regularization changes that conclusion.
For and standard Brownian motion , the drift in Itô formula for vanishes exactly when the displayed equation holds for every spatial point and every . Necessity follows because a zero finite-variation integral has continuous integrand equal to zero, and at every positive time the normal distribution of has full support. Continuity extends the equation to time zero. There is no condition at negative times except compatibility with the global smoothness of .
On a closed manifold with a Riemannian metric, the minimum of a smooth heat solution cannot fall below its initial minimum. At a spatial minimum, for the positive Laplace-Beltrami operator. Adding a small increasing function of time and considering the first crossing gives the assertion. Applying the result to nonnegative initial functions shows that the Riemannian heat kernel is nonnegative.
On a closed manifold with a Riemannian metric, a smooth solution of for the positive Laplace-Beltrami operator satisfies the displayed identity by integration by parts. Zero initial data force the solution to vanish, proving uniqueness and the semigroup property for heat evolution.
If is the zero-Dirichlet heat kernel on an interval for , integration by parts givesThe opposite endpoint signs are essential. Nonzero boundary values are limits of the full formula; evaluating each homogeneous sine mode at the boundary prematurely loses the forcing.
Convolution of this kernel with Dirichlet boundary data supplies the boundary forcing for on . It is . For , its total time mass is , tending to one as , and its mass away from zero time tends to zero. Thus the boundary value is recovered through an approximate identity, not by pointwise substitution in the kernel.
For a real smooth solution on a bounded regular domain with on its boundary, differentiation and Green's first identity yieldThe boundary term is zero because the boundary values are fixed in time, not because the normal derivative vanishes. Equality at a particular time is equivalent to throughout the domain at that time.
For a spherically symmetric field in three dimensions,Thus the heat equation becomes . Introducing reduces its spatial part to the one-dimensional second derivative , while regularity at the centre requires .
On a shell with homogeneous Dirichlet boundary conditions, put and . The radial heat equation in three dimensions becomes , with zero values at both endpoints. Expanding in a Fourier sine series gives the displayed solution, with . Each radial mode decays at the square of its wave number. The positive inner radius makes division by harmless throughout the shell.
The nonlinear equationis the potential form of the viscous Burgers equation. The substitution converts it to the heat equation .
For on the real line,has total mass one and converges to the delta distribution as decreases to zero. The solution is .
The displayed fundamental solution solves on the real line with a Dirac delta at the initial time. It is the ordinary heat kernel multiplied by , because that factor removes the constant reaction term. Its integral is and it converges to the Dirac delta as . Convolution with initial data gives the corresponding solution. For the total mass decays by absorption; for it grows instead.
On , the heat equation with initial Gaussian function , , has the displayed solution. Convolving the initial profile with the heat kernel adds the Gaussian width parameters; conservation of its spatial integral fixes the prefactor. Direct differentiation provides another proof. The width increases while the peak decreases, with no loss of the total integral.
On a closed manifold, the positive Laplace-Beltrami operator has a smooth heat kernel and its heat semigroup is a trace-class operator for positive time. Expanding in a smooth orthonormal eigenbasis gives . Elliptic regularity bounds each derivative of polynomially in , while the exponential dominates those powers, so the expansion converges with all derivatives. Integrating the diagonal and using the unit norm of each eigenfunction proves the formula. For a bundle operator, insert the fibre matrix trace inside the integral.
The real Gaussian function heat kernel is integrable only when . For forward time , this requires positive diffusivity. A Cole-Hopf transformation is an algebraic substitution for any nonzero coefficient, but that does not make the real forward convolution valid for negative diffusivity. Constant initial heat data already produce a divergent integral with the wrong sign.
For the heat equation on with diffusion coefficient one, the heat kernel is . Its convolution with bounded initial data is smooth for positive time, solves the equation by differentiation under the integral, and returns continuous initial data locally uniformly through the approximate identity property. It is Gaussian filtering with per-coordinate variance .
For the positive Laplace-Beltrami operator, the kernel solving with initial Dirac delta distribution on the diagonal represents the heat semigroup. On a closed manifold with a Riemannian metric it is smooth for , symmetric, nonnegative, preserves constants, and obeys the semigroup property.
For a finite free action by Riemannian isometries, the Riemannian heat kernel on the quotient is the image sum shown above. Integrating over a fundamental domain combines all images into the integral on the covering manifold, proving the initial condition and showing that there is no averaging factor in the kernel. The heat trace does have an averaging factor , because the integral of a quotient function over the cover is times its quotient integral. Mere freeness of a general nondiscrete group action is not enough for this covering formula.
The normalized pullback is a unitary map from of the quotient onto the deck-invariant subspace of of the cover. Local isometry and the sheet-counting integration formula preserve the Dirichlet quadratic form. Therefore the Friedrichs extension and its heat semigroup intertwine with this map. A finite sum of lifted Riemannian heat kernels gives the quotient kernel; independence of lifts follows by reindexing the deck group. This formulation avoids a uniqueness claim for unrestricted heat-equation solutions on a noncompact or incomplete manifold.
On a closed manifold with a Riemannian metric, an orthonormal eigenbasis for the positive Laplace-Beltrami operator gives this formula, with eigenvalues counted with multiplicity. Polynomial elliptic bounds and exponential time decay give convergence of every derivative away from time zero. The conjugate is necessary for a complex basis.
An approximate Riemannian heat kernel with the correct delta initial limit and a residual extending with enough regularity to time zero. A cutoff Gaussian times transport coefficients supplies a local construction. Increasing the expansion order, or summing the full asymptotic series smoothly, makes the residual regular enough for a Volterra parametrix correction.
In normal coordinates , write the Riemannian volume form as and let . With the heat operator , the Gaussian times a power-series amplitude has its singular terms cancelled by the displayed radial equations for . The initial coefficient is , andMultiplying the equation by gives the derivative of . Smoothness forces the integration constant to vanish. The integral on a fixed compact interval proves smoothness across the diagonal by induction; it yields . A truncated heat parametrix therefore has residual .
If is smooth and bounded up to time zero on a closed manifold, the Volterra convolution of kernels solves by . Bounds by prove convergence. Then is the exact Riemannian heat kernel and has the same initial delta limit.
The normalized Gaussian mass of an interval isIt is the convolution of an interval indicator with the heat kernel, and has an error function representation. As the variance tends to zero it converges to the interval indicator away from its endpoints, with value one half at an endpoint. This is a concrete approximate identity.
For and the heat equation on a half-line, the zero-initial-data solution with prescribed Dirichlet boundary condition is , whereIts mass concentrates at as , recovering the boundary trace.
For the heat equation with zero Dirichlet boundary conditions on ,It is also obtained by the method of images, taking the difference between Gaussian sources at and . The eigenfunction expansion is useful at long times; the image expansion is useful at short times.
A transition density with absorbing boundaries counts the joint event of survival up to time and a specified final position. Its integrated mass is survival probability, not generally one. Dividing by that mass gives the endpoint density conditional on survival, a different object.
For diffusion starting at the centre of with absorbing endpoints, only even-parity spatial eigenfunctions contribute. Integrating their cosine expansion gives the displayed series. The leading late-time term has prefactor and decay rate ; its first relative correction is .
For a particle with mass on , put . The method of images gives . The diagonal integral isThe reflected intervals tile the real line, giving the subtraction . The Poisson summation formula converts this to , proving equality between the image and energy eigenstate calculations.
For standard Brownian motion in , is the transition density from to . It is the heat kernel for generator . For every unit vector , , which bounds the change in this density under a spatial translation and proves the Gaussian heat-kernel proof of the harmonic Liouville theorem.
For , the displayed function solves the heat equation and has initial condition . Set . Direct differentiation givesThese identities prove the equation. The total integral is , independent of time. The real smooth formula is valid for , including a finite interval of negative time for this particular initial profile. For nonzero , its value at diverges as the lower time endpoint is approached. The superposition principle combines finitely many such profiles with different centers or widths.
For , apply the superposition principle to two translated solutions for Gaussian initial data for the heat equation. The displayed solution of has odd initial profile . Its total spatial integral is zero. For , it is positive on and negative on at every .
Writing it as shows how cancellation affects its late-time shape. On the diffusive scale , its leading form is . Thus the two lobe maxima asymptotically lie at , while their absolute heights decay as . Their centers are not fixed at the initial Gaussian centers. The first spatial moment remains , as follows directly from the Gaussian integral and translation.
For , . Substitute to obtain the displayed identity for . The semigroup property and Tonelli theorem then give . The coefficient multiplying the time integral is the reciprocal of the coefficient in the full Green integral, a distinction important in Brownian motion hitting asymptotics.
For and , the Sturm-Liouville eigenfunction expansion for on with homogeneous Neumann boundary conditions givesThe constant eigenfunction mode preserves the spatial integral. This is the limit of the weighted Neumann heat kernel with constant drift, and its boundary inputs have the signs in the Neumann boundary-forcing formula.
The heat semigroup acts by convolution with the heat kernel: . The identity gives , and its infinitesimal generator is a constant multiple of the Laplacian.
For a time-independent strictly positive Dirichlet realization of an elliptic operator and , the eigenfunction expansionsolves with homogeneous Dirichlet boundary conditions. For , every power times the exponential is bounded, so the series and all its time derivatives converge in all the Sobolev domains of powers of an elliptic Dirichlet operator. Elliptic regularity and the Sobolev embedding theorem give smoothness up to the spatial boundary for positive time. Parseval identity and the dominated convergence theorem give in as .
A heat kernel expansion is the short-time asymptotic expansion of the trace or diagonal kernel of an elliptic operator. Its local coefficients are polynomials in background curvatures and field strengths; in quantum field theory they extract ultraviolet divergences and anomalies.
For the positive scalar Laplace-Beltrami operator on a compact manifold without boundary, the heat invariants are the integrated coefficients in the short-time heat kernel expansion. In particular and , with the scalar curvature. They are determined by the heat trace, hence by the spectrum with multiplicities. The leading positive coefficient recovers the dimension from .
For the positive scalar Laplace-Beltrami operator on a closed manifold with a Riemannian metric, the coefficient of in the normalized heat trace is the displayed integral. The local coefficient additionally has a scalar-curvature divergence term whose integral vanishes. In dimension two, , , , giving . Together with volume and total Gaussian curvature, it determines the variance of curvature and detects constant curvature.
On a closed two-dimensional Riemannian manifold, the first three integrated scalar heat invariants are , , and , where is Gaussian curvature. If its scalar spectrum agrees with that of a hyperbolic surface of area , these integrals are . Expanding the displayed square then forces everywhere. Thus constant negative curvature is spectrally determined in this setting, although the global hyperbolic metric need not be determined up to isometry.
For on scalar functions, the leading coefficient of the heat parametrix in normal coordinates is the inverse square root of the metric volume density: . The heat-kernel transport equations give . This gives the displayed diagonal expansion. The coefficient is specific to the minimally coupled scalar operator; a bundle connection or a curvature-dependent potential changes the general Laplace-type coefficients.
For in geodesic normal coordinates, the Gauss lemma gives . Substituting into therefore yields , with . Integration along radial rays gives the displayed formula. Every coefficient is smooth at the centre. Any smooth solution of is zero for , since is constant and tends to zero at . This proves uniqueness. In this special divergence-form case , so every for is zero: the Gaussian itself solves the equation exactly on the coordinate ball. The positive Laplace-Beltrami operator instead has a metric volume-density term and a nonconstant leading amplitude.
The centered normal densitiesform an approximate identity: for every , at almost every point where the Lebesgue differentiation theorem applies. Their Fourier transforms are in the angular-frequency convention.
For initial data on the real line, Fourier transformation or convolution with the fundamental solution gives
For a bounded function , the convolution is well defined at every positive time because the heat kernel has integral one. The error-function diffusion front uses a Heaviside step function initial condition and gives one smoothed interface. The heat equation with interval-indicator initial data instead has two interfaces; subtracting their two error functions produces the finite-interval profile.
Let be continuous and suppose that the displayed improper integral converges separately at both infinite endpoints for some . Absolute convergence is not required. Then its heat-kernel solution exists, is smooth and solves the heat equation for , and tends to as at each fixed .
To prove the smoothing claim, take a primitive of . The assumed convergence makes bounded. For , integration by parts givesThe endpoint term vanishes. The coefficient of in the exponent of is . Its derivatives therefore have Gaussian decay on every compact subset of , justifying differentiation under the integral sign in the absolutely convergent right-hand expression. Since , it satisfies the heat equation.
For the initial limit, apply the same construction to and split at . Continuity controls the local part by its small oscillation times the unit kernel mass. On each remaining tail, is monotone for sufficiently small : its maximum lies at , approaching . If the relevant primitive has absolute bound , integration by parts bounds that tail by times the value of at its finite endpoint. For either endpoint , that value tends to zero like times a fixed constant. Both tails vanish, proving the limit. Separate endpoint convergence matters here; merely assuming a symmetric Cauchy principal value does not provide the bounded primitive used in this proof.
Suppose is continuous at and, for some ,For , its convolution with the heat kernel is smooth and solves the heat equation. On every compact set in , spatial or time derivatives of the heat kernel are bounded by the displayed integrable weight times a constant: their polynomial factors are absorbed by the strictly narrower Gaussian. This justifies differentiation under the integral sign.
Moreover, , soInside , continuity makes the difference uniformly small. Outside that interval, for , the inequality givesThe right side tends to zero, proving that the weighted tail contribution vanishes; the constant term is controlled by the vanishing Gaussian tail mass. Thus as . In particular, continuous data of polynomial growth satisfy this hypothesis, even when they are unbounded. This extends the Gaussian approximate identity argument beyond bounded data.
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