For , take and in integration by parts. This yields
since for every integer .
Let denote the integral with the cosine factor and the one with the sine factor. In integration by parts, take and . Then
The integer restriction gives .
Integrating first over multiplies by . Split at to handle the absolute value correctly:
Integration by parts gives antiderivatives and for these two inner integrands. Their contributions are
respectively. Thus
For the remaining integrals,
and
Combining them yields
The upper bound is , as in the original PDF; an additional truncated version in the OCR must not be used.
Laplace identities. The one-sided Laplace transform is
for sufficiently large that the integral converges. For a piecewise smooth function of exponential order, integration by parts gives
Differentiating under the integral gives
Iteration also yields . For real and , taking the imaginary part of gives
Transformed differential equation. Let , using the initial values . Then
Summing the three contributions gives
For , the condition as fixes the integration constant:
It is simpler to invert the derivative: . Thus
This is the sinc function. Its Taylor series begins , verifying both initial values. For a direct differential check set . Then . For , take the continuous limit , which also follows from .
Boundary form. For real functions and , integration by parts gives
The integral terms containing cancel, as do the terms. This is the Lagrange identity for a Sturm-Liouville operator. The boundary conditions must make this boundary form zero for every admissible pair. Several suitable choices are homogeneous Dirichlet boundary conditions at both endpoints; homogeneous Neumann boundary conditions at both endpoints; one of each; or separated homogeneous Robin boundary conditions
where each fixed real pair is nonzero. At each endpoint the two boundary data vectors are then proportional, making their antisymmetric product zero. Another choice is periodic data and , which cancel the two endpoint contributions. These domains give the required self-adjoint differential operator in the regular setting.
Eigenfunctions. Set , , and . The chain rule gives
The Chebyshev differential equation therefore becomes , with . For a positive integer , the first condition excludes the cosine term and the second is satisfied by . Thus
There is no nonzero eigenfunction: the transformed solution is linear in and vanishes at both endpoints only if identically zero. Negative merely repeats a positive mode with the opposite sign, so it is excluded from the indexing of an independent eigenbasis.
Weight and normalization. Multiplying the differential equation by puts it into Sturm-Liouville form:
Hence , and . Under , the measure becomes , so
Therefore
These endpoints are singular because vanishes and diverges there, but the weight is integrable. Moreover remains finite, so the vanishing values of make the boundary form zero. These are the Dirichlet eigenfunctions of the Chebyshev differential operator, not the first-kind Chebyshev polynomials , which have nonzero endpoint values.
Variational formulation. Take real with in the interval, and impose homogeneous Dirichlet boundary conditions, or other suitable conditions that cancel the boundary terms. The functional
has Euler-Lagrange equation
which is equivalent to . The same construction is constrained stationarity of the energy subject to , with a Lagrange multiplier. For fixed zero endpoint values, the variation vanishes at both ends; homogeneous zero-flux conditions also cancel the boundary term .
Multiplying the differential equation by and using integration by parts gives the Rayleigh quotient
For a nonzero admissible trial function, by the Rayleigh-Ritz variational principle. The Rayleigh-Ritz method chooses trial functions satisfying the endpoint conditions, often with adjustable coefficients, and minimizes this quotient over that trial family. Expanding in a normalized eigenbasis shows why the lower bound holds: , a weighted average of eigenvalues no smaller than the least one.
Radial quadratic trial. The radial problem becomes
where the printed endpoint notation refers to . Thus and . At the origin the vanishing and regularity of make the boundary term vanish; the weight must be retained in both numerator and denominator.
For a quadratic , the derivative condition sets and the outer condition gives . Overall amplitude cancels in the Rayleigh quotient, so take . Then
while
Consequently
Why the estimate is higher. For a regular radial function put . Then , and direct differentiation transforms the equation to . Its first mode is , corresponding to with its continuous value at the origin. Thus . The quadratic trial is not proportional to that Spherical Bessel function, so it has nonzero components in higher modes. Its Rayleigh quotient is therefore strictly larger than , in agreement with .
Let be a stationary function and perturb it to , where is smooth and . These perturbations preserve the prescribed endpoint values. Differentiate the functional at :
By integration by parts,
The boundary term vanishes. The remaining integral must vanish for every such , so the fundamental lemma of the calculus of variations gives the Euler-Lagrange equation
It is a necessary stationarity condition; deciding whether the stationary path is a minimum requires additional information.
Steady state. In the heat equation, time independence makes the second spatial derivative zero. The two endpoint temperatures therefore determine the linear profile
Insulation is along the sides; the endpoint reservoirs can still exchange heat with the rod.
Transient solution. Subtract the steady profile before applying separation of variables: let . Then , and for . Writing gives
The homogeneous Dirichlet boundary conditions exclude and select the eigenfunctions with eigenvalues , . Their orthogonality gives the Fourier sine series coefficients
Here integration by parts uses . Thus
Every summand satisfies the heat equation and the homogeneous endpoint conditions, while the steady profile supplies the prescribed endpoint values. The initial Fourier sine series equals in the open interval. At the initially cold rod and the suddenly imposed hot endpoint are incompatible; the formula describes the prescribed data for and the initial limit at interior points.
Heat absorption. Integrating in kills the even modes. With , the total heat relative to the initial state is
Consequently the net rate of heat absorption is
For each , any fixed number of differentiated modes is bounded by a polynomial in times . These bounds have finite sums, proving absolute convergence, uniform convergence on such time intervals and the validity of the integration and differentiation. In particular the displayed rate is finite for every , positive when , and tends to zero as equilibrium is approached. The same answer follows from the heat equation balance ; this subtracts loss at the cold endpoint from input at the hot endpoint.
Transform convention and derivatives. Use the Fourier transform pair
For sufficiently decaying with integrable second derivative, two applications of integration by parts give
The identity also holds for tempered distributions, which is the setting needed for the Dirac delta function boundary data.
Upper half-plane solution. Take the Fourier transform in only, writing . Laplace's equation becomes . For , discard the exponentially growing solution and use , the Fourier transform of the Dirac delta function. This gives . The value at can be set to its continuous limit one. Pointwise decay of as does not require this individual transformed value to decay: the total integral in remains one while the profile spreads.
The inverse Fourier transform now yields, for ,
Evaluate the last integral as the real part of :
This is the Poisson kernel for the upper half-plane. Its boundary condition is a distributional convergence, rather than an ordinary value at : for a smooth compactly supported test function ,
The dominated convergence theorem applies because is bounded and is integrable. Also , proving the required decay as .
Direct verification. Differentiating the rational expression gives
Their sum is zero throughout , so the solution is a harmonic function there.
Mixed endpoint spectrum. For , integration against and integration by parts, using , gives for every nonzero real eigenfunction. Thus and the first condition makes . The second requires , so , . Since
the normalized eigenfunctions and eigenvalues are
The orthogonality also follows by applying integration by parts to two different eigenfunctions of the same self-adjoint differential operator.
Forced expansion. Let and write , . The Fourier coefficients of the forcing are
because the boundary cosine vanishes and . Applying to the eigenfunction expansion gives . Since is not an eigenvalue,
The coefficients are , so the series and its first two differentiated series converge absolutely and uniformly on the interval. Each term satisfies the two endpoint conditions, and equals the mixed-endpoint Fourier series of . The forcing coefficients are , giving uniform convergence of that series as well. Uniqueness follows because the homogeneous problem has a nonzero solution only at one of the excluded eigenvalues.
Odd fourth-power sum. Set . Direct integration of , with the same endpoint conditions, gives
At , the eigenfunction expansion instead gives . Equating the two values yields
Absolute and uniform convergence justify evaluation at the endpoint.
Assume the regular real Sturm-Liouville problem, with , ordered eigenvalues , and real orthonormal eigenfunctions in the weighted inner product
The Rayleigh quotient for an admissible trial function is
The second expression follows by integration by parts. It is the quantity used in the Rayleigh-Ritz method.
For , orthonormality eliminates every cross-term in the denominator:
Applying to the eigenfunction expansion and using the same orthogonality in the numerator gives
Hence, whenever the trial function has finite energy,
Put and . The exact error and its expansion are
In particular, under a common small scaling with fixed finite sums and ,
The fourth-order remainder includes mixed products , not just individual fourth powers.
Error comparison and sign. Since , the relative weighted norm error of the supplied trial function is
For , the relative eigenvalue error is . Thus the Rayleigh quotient has a second-order error for a first-order error in the trial eigenfunction, provided the energy-weighted coefficient sum is controlled. Small weighted norm error alone does not control arbitrarily high-frequency contamination, because can grow without bound. If , an absolute error must replace the undefined relative one.
Finally every summand of is nonnegative. Thus
with strict inequality whenever some . This is the upper-bound property of the Rayleigh-Ritz variational principle for the lowest eigenvalue.
Vary by with . The first variation of the functional is
The boundary term from integration by parts is zero. The fundamental lemma of the calculus of variations therefore gives . For , independently vary and with zero endpoint variations; the two Euler-Lagrange equations are
For the optical path, Fermat principle makes stationary. In cylindrical coordinates its integrand is , with . There is no explicit dependence. The Beltrami identity for several dependent variables gives
The conserved quantity is the axial component of the optical momentum of a ray. As , squaring and inverting yields
Now suppose and seek a path of radius . The angle is a cyclic coordinate, so is conserved. At fixed radius this is strictly increasing in , forcing constant. The radial Euler-Lagrange equation reduces to
Consequently the helical rays in a radially graded refractive index have
A real nonzero helix exists at such a radius when , and its helical pitch is . If , the solution is instead a straight axial light ray. Thus radial dependence permits constant-radius rays for suitable profiles; an arbitrary radial profile need not support a nonzero real helix. This qualification is necessary, for example when the refractive index increases with radius.
The Laplace transform is wherever it converges. For sufficiently large , suitable exponential bounds justify integration by parts and differentiation under the integral sign, giving
For a nonnegative integer and real , substitute in the gamma integral. The result extends holomorphically to , giving
This also follows recursively from the second identity, starting with .
Put , and . For a solution with finite initial values and the required transform bounds, the transformed equation is
The initial-value terms cancel, leaving . On the real interval , a nonzero solution satisfies
Integration gives . Inverting term by term yields
Taking gives a nonzero solution, verified by direct substitution. It is , and the rational transform agrees with the general Laplace transform of a Laguerre polynomial. No claim about solutions with singular initial behavior is needed to produce this regular solution.
For example, impose homogeneous Dirichlet boundary conditions , and use variations vanishing there. Homogeneous Neumann boundary conditions are another choice removing the boundary terms. Put , , and . At a stationary function let . The quotient rule gives . After integration by parts, stationarity under every allowed variation gives
so the fundamental lemma of the calculus of variations yields the stated Sturm-Liouville problem. Conversely an eigenfunction with those boundary conditions has and makes the quotient stationary. The lowest eigenvalue minimizes the Rayleigh quotient under the usual self-adjoint, lower-bounded hypotheses; higher eigenvalues are stationary values with orthogonality constraints when minimizing successively.
The hydrogen equation becomes . Its radial energy quotient is therefore
Regularity at zero and decay at infinity remove the boundary term . The condition fixes an arbitrary amplitude for these trial functions; it is not their three-dimensional probability normalization, which cancels from the quotient.
For , elementary exponential integrals give , , and . Hence
For the compactly supported linear trial for hydrogen, the norm, gradient and Coulomb integrals are , , and , respectively. Thus
The derivative changes from negative to positive at four, so this is the minimum over positive . The quantum variational principle gives upper bounds on the ground-state energy; the exponential trial is better, and in fact satisfies the exact differential equation at . It is the nodeless hydrogen ground state in the given units. The linear trial is admissible for the energy quadratic form despite its derivative jump at ; it need not possess a classical second derivative at that point.
Figure 1.
Variational energy curves for exponential and compact linear hydrogen trials
. Original energy curves in the equation's atomic units. The exponential family reaches the exact ground-state energy, while the best compact linear trial remains above it. Details.
For variations with , integration by parts gives . The fundamental lemma of the calculus of variations therefore gives the Euler-Lagrange equation
For the ramp, use conservation of energy from rest at the rim. The vertical drop is , so . The spherical surface arc length is . On a monotone segment described by , the travel time is consequently
For increasing this has the printed limits to ; for a descent, reverse the decreasing angular limits to keep time positive. The azimuth is a cyclic coordinate of this integrand. Its conserved derivative gives the first integral for the brachistochrone on a hemispherical ramp:
Solving for its square yields
For a regular stationary path with finite , this tends to zero as the rim is approached. The ratio of azimuthal to meridional displacements is , which also tends to zero. Hence the initial direction is along a meridian toward the bottom. This conclusion concerns the initial heading; the later route can turn before reaching the bottom when its rim endpoints require a nonzero azimuthal displacement.
Use the convention
These are the Fourier transform and inverse Fourier transform for suitably integrable data. Assuming the required ordinary transforms exist and the lower derivatives vanish at both ends, integration by parts gives . Repeating this argument yields
The decay assumptions are used to discard the boundary terms at each step.
For positive diffusivity , transforming the heat equation gives . Thus , where . The convolution theorem and the Gaussian heat kernel give
For , the Fourier transform of a Gaussian is . Multiplying by the heat factor and inverting gives the Gaussian initial data for the heat equation solution
It recovers the initial profile as and preserves its spatial integral .
Introduce a Lagrange multiplier for the normalization and vary . With variation satisfying , integration by parts gives
The upper endpoint term vanishes, and the lower term vanishes because with the stipulated regular differentiable behavior. More generally the natural endpoint condition is there. The fundamental lemma of the calculus of variations gives , the stated Sturm-Liouville problem.
The Rayleigh-Ritz variational principle estimates the lowest eigenvalue by minimizing over an admissible finite-dimensional trial family. Restricting the family can only raise the minimum.
For the specific radial problem, and . The trial has . Normalization gives , with the negative sign an equivalent choice. The numerator is , so
This is the quadratic case of the power-law variational bound for a circular membrane. The exact first eigenvalue is smaller because the polynomial trial is not the exact Bessel function of the first kind eigenfunction. Expanding a trial in the exact orthonormal eigenbasis expresses its Rayleigh quotient as a weighted average of eigenvalues, so no admissible trial can lie below the lowest one.
The one-sided Laplace transform is for sufficiently large . Integration by parts, with the exponential suppressing the upper boundary, gives
Differentiation under the integral gives , proving . Start with and apply this rule repeatedly:
With all three initial data zero, transforming the forced equation gives . Thus and the listed inverse transform gives
The cubic factor is also the resonant exponential particular solution associated with the triple characteristic root .
With the stated angular-frequency convention, the inverse Fourier transform is . Direct integration gives . For , integration by parts has zero boundary terms and gives . Therefore
This also follows from the Fourier transform of a polynomial multiple, since multiplication by corresponds to .
To prove Parseval's identity, substitute the inverse transform of into . Under the assumed integrability, Fubini's theorem permits interchange, and the inner integral is . Hence
Apply this with . The spatial Gamma integral is . The transformed squared modulus is , giving the scaled even rational Parseval integral
Apply the Euler-Lagrange equation to the integrand of , namely . With fixed zero endpoint values, it gives . Multiplying by and using integration by parts gives , so each stationary Rayleigh quotient equals its eigenvalue.
In the half-line problem, , , , so the quotient is . For , , its numerator is and denominator . Hence , minimized at :
For the compactly supported linear trial, , the numerator is and denominator . Thus , minimized at , giving
The derivative jump at the cutoff is allowed in the quadratic-form trial space of the Rayleigh-Ritz method: the trial is continuous and has finite form energy.
The exponential ground state of a linearly weighted Sturm-Liouville problem proves which estimate is best. Vanishing endpoint terms give
Equality occurs for , which also satisfies the differential equation with . Thus the exponential trial gives the exact smallest eigenvalue, whereas the linear trial gives a larger upper bound. Finiteness at the singular endpoint supplies the regular branch with ; all the displayed trials have the required vanishing boundary terms.