For each of the four standard pairs, integration by parts gives
Consequently the eigenvalues are nonnegative. For a positive eigenvalue , the eigenvalue equation is . Its four characteristic roots are , so
Here are coefficients, avoiding a collision with the filament bending modulus . The regular finite-interval self-adjoint operator has compact resolvent; applying the spectral theorem for compact self-adjoint operators to a shifted inverse supplies a complete orthonormal basis of eigenfunctions.
For clamped boundary conditions at zero, a clamped--clamped bending mode can be written
At , writing , the two remaining boundary conditions are
The determinant is . Hence the positive wavenumbers obey
Equivalently, intersect with . Numerical root bracketing gives
The entire sequence has the useful large- description
Indeed, put in and use and .
The apparent root in the determinant equation is spurious for the clamped problem: at zero eigenvalue, is a cubic polynomial, and its four clamped conditions force . For other endpoint choices, zero-energy filament modes must be treated separately from the trigonometric formula. The free-free kernel consists of affine functions, the torqued-torqued kernel consists of constants, and the hinged-hinged kernel is trivial. Including those kernels is necessary for a complete eigenfunction expansion.
For a normalized state and a self-adjoint operator with finite second moment, the quantum uncertainty is defined by . Since is real,
In an energy eigenstate of the quantum harmonic oscillator,
Discarding the nonnegative squared means proves the stated lower bound. The Heisenberg uncertainty principle is , following from . Applying the arithmetic-geometric mean inequality to the two variance contributions gives
Here is the oscillator frequency. The bound is the ground-state energy; equality requires zero means and the appropriate minimum-uncertainty width.
Let be a singular Weyl sequence for at . Since is compact and , the preceding result gives . Therefore
The norms remain one and the weak limit remains zero. The singular Weyl sequence criterion yields . Apply the same argument to and the compact self-adjoint operator for the reverse inclusion. Both operators are bounded and self-adjoint. Thus the Weyl theorem for compact self-adjoint perturbations is
The corrected shifted-range definition is necessary. For the diagonal example in the preceding solutions, a rank-one perturbation changing the entry to removes from the spectrum. The unshifted printed definition had classified as essential merely because the original range was not closed, so it would make this invariance false.
No. On the complex l2 sequence space, let . This is a bounded self-adjoint operator. At , , so zero is not an eigenvalue (an eigenvector must be nonzero). But has no preimage in : its only formal preimage is the constant-one sequence. Thus is not surjective and
Alternatively excludes a bounded inverse. This example separates the spectrum of a bounded operator from its point spectrum.
The intended self-adjoint operator identity is , with the inner product linear in its first argument. The printed second must be . Taken literally, the printed identity forces : put and then vary . Its spectral conclusion is then trivial, but it does not define self-adjointness.
For the corrected identity, is real. If , the Cauchy-Schwarz inequality gives
Thus is injective and bounded below, so its range is closed: a convergent image sequence has a Cauchy sequence of preimages. Its range is dense because its orthogonal complement is , also zero by the same lower bound. Hence it is surjective with inverse norm at most . Therefore
For a bounded self-adjoint operator, is orthogonal to its range exactly when for every , or equivalently . Consequently
This is image-kernel orthogonality for an adjoint. Taking the double orthogonal complement gives the closure; it does not assert that the range itself is closed.
If unit vectors satisfy , a bounded inverse would give . Hence belongs to the spectrum of a bounded operator.
Conversely a spectral point is real by the preceding argument. Put , again a self-adjoint operator. If , then is injective with closed range. Its range is dense by image-kernel orthogonality for an adjoint, so it is bijective with a bounded inverse, a contradiction. Thus this infimum is zero; choose unit with . We have proved
Such a sequence is a spectral Weyl sequence. No weak convergence is required here; nonreal are ruled out by the lower bound in the preceding solution.
The real and imaginary parts of the operator are uniquely
They are self-adjoint operators, and . Conversely such a decomposition has . Expanding both products gives
Consequently is a normal operator exactly when its self-adjoint real and imaginary parts commute.
Hecke operators give a commuting family of arithmetic symmetries of modular forms. They preserve the weight and cusp forms, and diagonalizing them turns the Fourier coefficients of a modular form into multiplicative arithmetic data. Odd weight spaces are zero by the action of ; in weight zero the operators act on constants by . For the substantive theory, fix an even positive weight and , and use the following normalization consistently.
Extend the slash operator for modular forms to by
It is a right action and positive scalar matrices act trivially. Let be the integral matrices of determinant . The determinant-n matrix representatives for Hecke operators for are
Integer row operations reduce the first column to , after which a row shear reduces modulo ; uniqueness follows from these same conditions. The Hecke operator is
Right multiplication by permutes the left cosets, so is again invariant under the weight- slash operator for modular forms. Each summand is a holomorphic function on the complex upper half-plane, and the coefficient formula below proves holomorphy at a cusp. Thus acts on and preserves . Geometrically, these operators sum over index- sublattices, or equivalently the associated finite-degree correspondences between complex tori; the factors above compensate for the weight's response to lattice scaling.
Write . The sum over is zero unless , in which case it is . Substituting into the displayed definition proves the Fourier coefficients of a composite-index Hecke operator formula
with . In particular, and . At a prime this becomes
where if .
The Hecke multiplication relations are
They can be checked by applying the coefficient formula twice and regrouping the divisors. More explicitly, coprime indices factor independently, so if . At a prime, separating the terms in the divisor sum according to whether one more factor is available gives
Iteration gives ; combining the prime factors gives the full relation. Hence all Hecke operators commute, , and the Hecke algebra of modular forms is generated by the together with scalars.
The Petersson inner product on the finite-dimensional cusp form space is
The integrand is invariant and the integral converges because cusp forms decay exponentially at the cusp. The Hecke operators are self-adjoint for the Petersson inner product at level one. To see the underlying adjoint calculation, unfold the finite correspondence for a determinant- matrix and change variable . The invariant hyperbolic measure and the determinant-normalized slash factors transfer from one side of the inner product to . Scalar matrices act trivially, so one can replace by the integral adjugate , which again has determinant . This reverses the correspondence and permutes the same collection of terms, with the same real prefactor . Summing gives
Commuting self-adjoint operators on a finite-dimensional inner-product space admit a common orthonormal basis of eigenvectors. Thus has a basis of simultaneous Hecke eigenforms, with real eigenvalues.
A nonzero simultaneous cuspidal Hecke eigenform has : if and , comparison of the first coefficients gives for every , so . Normalize . Then
Consequently the full Fourier series is determined by the eigenvalues, and a simultaneous eigenvalue system has a one-dimensional eigenspace. The Hecke multiplication relations translate into
In particular the coefficients are multiplicative at coprime indices and are determined by the prime coefficients. This is the elementary multiplicity-one statement for normalized level-one Hecke eigenforms.
The Hecke eigenvalues are algebraic integers. One way to explain the arithmetic input is to use the rational structure supplied by the graded ring . The rational cusp form space has a basis with integral Fourier coefficients, for example from appropriate monomials in . Its subgroup of forms whose entire expansions are integral is a full lattice: a finite initial coefficient map is injective by the valence formula for the modular group, so it embeds this subgroup into a finite-rank integer module. The coefficient formula shows that every preserves this lattice, and therefore has a monic integral characteristic polynomial. Its eigenvalues are algebraic integers. Simultaneous diagonalization also makes their number field finite over ; conjugating the rational coefficient data gives another eigenform, whose eigenvalues are again real by self-adjointness. Thus the coefficient field is totally real.
For a normalized cuspidal Hecke eigenform, define its L-function of a cusp form by . The coefficient relations yield the Euler product of a Hecke eigenform
Indeed the prime-power recurrence gives , and multiplicativity assembles these factors. These identities hold analytically in an initial right half-plane, as well as formally. For instance boundedness of on the full complex upper half-plane gives , so suffices for absolute convergence.
The Mellin transform of a cusp-form L-function relates this arithmetic to the modular transformation:
Splitting at one and using gives
Exponential cusp decay makes the last integral entire in . This proves the analytic continuation and functional equation of the L-function of a cusp form, complementing its Euler product. The root number is .
Two examples show the scope of the theory. For even , the Eisenstein series is an eigenform with . This follows from its divisor-sum expansion and the same multiplicativity relations; its associated positive-index Dirichlet series is proportional to . The constant coefficient gives , so an eigenbasis of the cusp space together with gives an eigenbasis of the whole modular-form space. The ordinary Petersson inner product above is only used on the cusp space, where it converges. In weight twelve the valence formula for the modular group gives : cancellation of the first coefficients of two independent cusp forms would give a nonzero form with order at infinity at least two, exceeding . Thus the normalized modular discriminant is a Hecke eigenform; writing gives the Ramanujan tau function relations for coprime and .
The orbital angular momentum operators are
In particular . For smooth compactly supported functions , integration by parts produces no boundary term, and . Hence
This proves Hermiticity on the common test-function domain, and the same calculation applies on suitable decaying domains. As an unbounded operator, it is not defined on every function: the usual self-adjoint operator realization is the generator of unitary rotations about the third axis. Thus the integration statement includes its necessary domain/boundary assumptions.
Take the real inner product
The stationary distribution is strictly positive for an irreducible Markov chain. Detailed balance gives , so is a self-adjoint operator. Choose a real orthonormal eigenbasis , where , , , , and for .
For fixed , apply the spectral decomposition to . Its coefficient against is , whereas . Thus the spectral kernel expansion of a reversible chain is
This holds for all integers ; at each multiplier is one, including when . Negative eigenvalues are allowed, and retain their signs for odd .
On a finite state space with at least two states, as in the surrounding questions, for a real function write and . The Poincare inequality for a reversible Markov chain with constant is
where the Dirichlet form of a Markov chain is
The associated spectral gap is the ordinary gap , with variational formula
Equivalently minimize subject to and . Thus the Poincare inequality for a reversible Markov chain holds precisely for , and the optimal constant is . It controls the ordinary rather than absolute spectral gap, so negative eigenvalues do not invalidate it. If the unspecified state space in this part is infinite, the Poincare inequality for a reversible Markov chain and the variational infimum still make sense on nonconstant functions in , using the self-adjoint operator on that Hilbert space; the resulting spectral gap need not be represented by an actual second eigenvalue. The finite-state formula above is the intended specialization.
Use . The Dirichlet form of a Markov chain is
The equality follows by expanding the square and using row sums one and the stationary distribution identity. For the reversible Markov chain, detailed balance makes a self-adjoint operator, with real orthonormal eigenbasis and ordered eigenvalues .
Adding a constant changes neither the variance nor the Dirichlet form of a Markov chain. Expand the centered function as . Then
For every nonconstant the quotient is at least , and equality is attained at . This proves
Equivalently minimize the Dirichlet form of a Markov chain over centered unit-norm functions. This is the variational characterization underlying the Poincare inequality for a reversible Markov chain, and does not require the transition matrix to have nonnegative eigenvalues. For a one-state chain there is no nonconstant test function; the displayed minimization concerns .
A self-adjoint operator satisfies . If , then , so . An eigenvector exists over ; its orthogonal complement is -invariant. Induction on dimension produces an orthonormal basis of eigenvectors, proving the finite-dimensional spectral theorem.
A self-adjoint is positive definite exactly when every eigenvalue is positive, since in an eigenbasis. The quadratic forms of two positive-definite operators add, so their sum is positive definite.
The same eigenbasis shows that exactly when is positive definite for every and negative definite for every . Finally, if is a unit eigenvector of with eigenvalue , the Rayleigh quotient bounds give
Thus every eigenvalue of lies in .
First construct the Dirichlet eigensystem. By part (i) and the Lax-Milgram theorem, the inverse exists from into . Elliptic regularity gives , and the Rellich-Kondrachov compactness theorem makes a compact operator on . Symmetry gives
so is a self-adjoint operator. It is injective, and for . The spectral theorem for compact Hermitian operators supplies an orthonormal basis with , , and . Put . Then
Repeated elliptic regularity makes each smooth up to the boundary.
As with part (ii), the stated characterization omits boundary compatibility. At , its right-hand side is finite for every by Parseval identity, whereas its left-hand side would require . At higher orders, the preceding polynomial example is also decisive for the Dirichlet eigensystem: on ,
Although this function belongs to every ordinary , the weighted sum diverges at .
The correct spectral characterization of elliptic Dirichlet domains is
with defined in part (ii). For finite eigenfunction sums the squared norm is exactly the weighted sum: even orders follow from , and odd orders also use . These sums are dense in : if is -orthogonal to every , then , so . They are dense in by construction, and the isomorphisms propagate density to every . Completion in the equivalent norms from part (ii) proves both directions of the corrected equivalence. In particular, the printed characterization is correct for .
Put , , and . We first obtain a uniform-in- stationary bound, then compare the burned-in trajectory with a stationary one.
For a reversible Markov chain, geometric ergodicity gives an absolute L2 spectral gap of a reversible Markov chain. Thus, for some , the Markov kernel viewed as an operator satisfies
One can use the rate in the total-variation estimate. To see why, reversibility makes a self-adjoint operator. For bounded mean-zero supported on a set where is bounded,
The spectral theorem for normal operators writes the left side as . Any positive spectral mass where would contradict the inequality as . These test functions are dense in : truncate a function and restrict it to , then correct its mean using a bounded function supported on a fixed positive-measure set where is bounded. Hence the spectral restriction extends to the entire mean-zero space.
Let be the stationary chain. For , the stationary covariance bound for reversible Markov chains gives
Consequently
The initial law of the burned-in trajectory is . Its total variation distance from is at most . Attaching the same conditional future evolution cannot increase that distance, so the entire length- path laws differ by at most . For either path the sum has . The dual bound for total variation distance gives a difference of at most in the second moments, and at most in the squares of the means. This burn-in total variation comparison yields
Since , . Dividing by gives
The constant depends on the chain, not on .
For a bounded linear operator , the spectrum is
while the point spectrum is the set of eigenvalues, equivalently the for which is not injective.
A compact operator maps the unit ball to a relatively compact set. A self-adjoint operator satisfies , or for all . A finite-rank operator has finite-dimensional image.
For an oriented smooth surface , the Gauss map sends to the chosen unit normal vector . Since , differentiation shows that is perpendicular to and hence lies in .
In a local parametrization with , differentiating
gives
Thus the bilinear form is symmetric, so is self-adjoint. The Gaussian curvature is
Writing the coefficients of the first fundamental form as
and those of the second fundamental form as
one obtains
At an umbilic point, the self-adjoint map has a repeated eigenvalue, so it is a scalar map. If every point is umbilic, there is a function with
Equality of mixed partial derivatives gives
The two tangent vectors are linearly independent, hence . Since is connected, is constant.
If , then is constant and
so lies in a plane. If , then
Thus is constant, and
Therefore lies in a sphere of radius . This proves that the surface is part of a plane or part of a sphere.
Write , so the covariance operator is
For ,
so is self-adjoint. Moreover,
so it is a positive operator.
Let be any orthonormal basis. Tonelli theorem and Parseval identity give
A positive operator with finite trace is a trace-class operator, completing the proof.
Write . The real potential and periodic boundary condition make a self-adjoint operator on the periodic domain. Since ,
because the inner product is real. Thus the Schrodinger equation preserves the norm.