Eigenfunction expansions for a Sturm-Liouville problem on time scales.AbstractIn this paper we investigate a Sturm-Liouville eigenvalue eigenvalue In mathematical analysis, one of a set of discrete values of a parameter, k, in an equation of the form Lx = kx. Such characteristic equations are particularly useful in solving differential equations, integral equations, and systems of problem on time scales. Existence of the eigenvalues eigenvalues statistical term meaning latent root. and eigenfunctions is proved. Mean square convergent and uniformly convergent expansions in the eigenfunctions are established. AMS AMS - Andrew Message System subject classification: 34L10. Keywords: Time scale, delta and nabla derivatives derivatives In finance, contracts whose value is derived from another asset, which can include stocks, bonds, currencies, interest rates, commodities, and related indexes. Purchasers of derivatives are essentially wagering on the future performance of that asset. and integrals, Green's function Green's function A solution of a partial differential equation for the case of a point source of unit strength within the region under examination. The Green's function is an important mathematical tool that has application in many areas of theoretical , completely continuous operator, eigenfunction Eigenfunction One of the solutions of an eigenvalue equation. A parameter-dependent equation that possesses nonvanishing solutions only for particular values (eigenvalues) of the parameter is an eigenvalue equation, the associated solutions being the expansion. 1. Introduction Let T be a time scale and a, b [member of] T be fixed points with a < b such that (a, b) is not empty. Throughout, all the intervals are time scale intervals. For standard notions and notations connected to time scales calculus calculus, branch of mathematics that studies continuously changing quantities. The calculus is characterized by the use of infinite processes, involving passage to a limit—the notion of tending toward, or approaching, an ultimate value. we refer to [4, 5]. In this study we deal with the simple Sturm-Liouville eigenvalue problem -[y.sup.[DELTA][nabla]](t) = [lambda]y(t), t [member of] (a, b), (1.1) y(a) = y(b) = 0. (1.2) Some aspects of Sturm-Liouville eigenvalue problems on time scales have already been considered in the literature (see [1, 6]). In the present paper we are concerned with eigenfunction expansions (generalized gen·er·al·ized adj. 1. Involving an entire organ, as when an epileptic seizure involves all parts of the brain. 2. Not specifically adapted to a particular environment or function; not specialized. 3. Fourier analysis Fourier analysis n. The branch of mathematics concerned with the approximation of periodic functions by the Fourier series and with generalizations of such approximations to a wider class of functions. ) for problem (1.1), (1.2). In our dicussion an important role is played by certain new type integration by parts In calculus, and more generally in mathematical analysis, integration by parts is a rule that transforms the integral of products of functions into other, hopefully simpler, integrals. The rule arises from the product rule of differentiation. formulas on time scales, established recently by the author [7, 9]. These formulas contain delta and nabla derivatives and integrals at the same time and they are elaborated in Section 2. Next in Section 3 it is shown, by using the Hilbert-Schmidt theorem In mathematics, the Hilbert-Schmidt theorem, also known as the eigenfunction expansion theorem, is a fundamental result concerning compact, self-adjoint operators on Hilbert spaces. on symmetric No difference in opposing modes. It typically refers to speed. For example, in symmetric operations, it takes the same time to compress and encrypt data as it does to decompress and decrypt it. Contrast with asymmetric. (mathematics) symmetric - 1. completely continuous operators, that the eigenvalue problem (1.1), (1.2) has a system of eigenfunctions that forms an orthonormal basis Definition In mathematics, an orthonormal basis of an inner product space V (i.e., a vector space with an inner product), or in particular of a Hilbert space H for an appropriate Hilbert space Noun 1. Hilbert space - a metric space that is linear and complete and (usually) infinite-dimensional metric space - a set of points such that for every pair of points there is a nonnegative real number called their distance that is symmetric and satisfies the . This yields mean square convergent (that is, convergent in an [L.sup.2]-metric) expansions in eigenfunctions. Finally, in Section 4 uniformly convergent expansions in eigenfunctions are obtained when the expanded functions satisfy some smoothness conditions. 2. Integration by Parts Formulas The aim of this section is to present two integration by parts formulas on time scales, given below in Theorem theorem, in mathematics and logic, statement in words or symbols that can be established by means of deductive logic; it differs from an axiom in that a proof is required for its acceptance. 2.4. These formulas will be employed in the subsequent sections. They were recently established by the author in [9] (see also [7]). First we formulate formulate /for·mu·late/ (for´mu-lat) 1. to state in the form of a formula. 2. to prepare in accordance with a prescribed or specified method. a theorem which gives a relationship between the delta and nabla derivatives. For its proof see [3, Theorem 2.5 and Theorem 2.6]. The derivatives at the end points of intervals are understood to be one-sided derivatives. Theorem 2.1. (i) If f : [a, b] [right arrow] R is continuous on [a, b] and [DELTA]-differentiable on [a, b) with continuous [f.sup.[DELTA]], then f is [nabla]-differentiable on (a, b] and [f.sup.[nabla]](t) = [f.sup.[DELTA]]([rho](t)) for all t [member of] (a, b]. (ii) If f : [a, b] [right arrow] R is continuous on [a, b] and [nabla]-differentiable on (a, b] with continuous [f.sup.[nabla]], then f is [DELTA]-differentiable on [a, b) and [f.sup.[nabla]](t) = [f.sup.[nabla]] ([sigma](t)) for all t [member of] [a, b). The next theorem (see [9] and [7]) gives a relationship between the delta and nabla integrals. Theorem 2.2. Let f : [a, b] [right arrow] R be a continuous function. Then (i) [[integral].sup.b.sub.a] f(t)[DELTA]t = [[integral].sup.b.sub.a] f ([rho](t))[nabla]t, (ii) [[integral].sup.b.sub.a] f(t)[nabla]t = [[integral].sup.b.sub.a] f([sigma](t))[DELTA]t. Proof. We only prove (i) as (ii) can be proved similarly. Take an arbitrary partition A reserved part of disk or memory that is set aside for some purpose. On a PC, new hard disks must be partitioned before they can be formatted for the operating system, and the Fdisk utility is used for this task. P of [a, b]: P = {[t.sub.0], [t.sub.1], ..., [t.sub.n]} [subset A group of commands or functions that do not include all the capabilities of the original specification. Software or hardware components designed for the subset will also work with the original. ] [a, b], a = [t.sub.0] < [t.sub.1] < ... < [t.sub.n] = b. Let us set for each i [member of] {1, ..., n} [M.sub.i] = sup{f(t) : t [member of] [[t.sub.i-1], [t.sub.i])}, [M'.sub.i] = sup{f([rho](t)) : t [member of] ([t.sub.i-1], [t.sub.i]]} and form upper Darboux [DELTA]-sum U(f,P) and upper Darboux [nabla]-sum U'([f.sup.[rho], P) by U(f,P) = [n.summation summation n. the final argument of an attorney at the close of a trial in which he/she attempts to convince the judge and/or jury of the virtues of the client's case. (See: closing argument) over (i=1)] [M.sub.i] ([t.sub.i] - [t.sub.i-1]), U'([f.sup.[rho]], P) = [n.summation over (i=1)] [M'.sub.i] ([t.sub.i] - [t.sub.i-1]), respectively, where [f.sup.[rho] denotes the function [f.sup.[rho]](t) = f([rho](t)). Then, since f is continuous and [f.sup.[rho]] is left-dense continuous, we get that f is [DELTA]-integrable over [a, b) AND [f.sup.[rho]] is [nabla]-integrable over (a, b] and that (see [8]) [MATHEMATICAL EXPRESSION A group of characters or symbols representing a quantity or an operation. See arithmetic expression. NOT REPRODUCIBLE re·pro·duce v. re·pro·duced, re·pro·duc·ing, re·pro·duc·es v.tr. 1. To produce a counterpart, image, or copy of. 2. Biology To generate (offspring) by sexual or asexual means. IN ASCII ASCII or American Standard Code for Information Interchange, a set of codes used to represent letters, numbers, a few symbols, and control characters. Originally designed for teletype operations, it has found wide application in computers. ] (2.1) On the other hand, it is not difficult to see that from continuity of f on [a, b] it follows that [M.sub.i] = [M'.sub.i] for any i [member of] {1, ..., n} and hence U(f,P) = U'([f.sup.[rho]], P) for all partitions P of [a, b]. Therefore from (2.1) we get the statement (i) of the theorem. [] Remark 2.3. Another proof of Theorem 2.2 can be given by using Theorem 2.1. Indeed, let F : [a, b] [right arrow] R be a [DELTA]-antiderivative for f on [a, b], that is, F is continuous on [a, b], [DELTA]-differentiable on [a, b), and [F.sup.[DELTA](t) = f (t) for all t [member of] [a, b). Then we have, using Theorem 2.1(i), [F.sup.[nabla](t) = [F.sup.[nabla]([rho](t)) = f ([rho](t)) for t [member of] (a, b], so that F is at the same time a [nabla]-antiderivative for [f.sup.[rho]] on [a, b]. Therefore [[integral].sup.b.sub.a] f([rho](t))[nabla]]t = F(b) - F(a) = [[integral].sup.b.sub.a] f(t)[DELTA]t. The statement Theorem 2.2(ii) can be proved in a similar manner by using Theorem 2.1(ii). Now let us formulate and prove the main result of this section. Theorem 2.4. Let f and g be continuous functions on [a, b]. Suppose that f is [DELTA]-differentiable on [a, b) with continuous and bounded [f.sup.[DELTA]] and g is [nabla]-differentiable on (a, b] with continuous and bounded [g.sup.[nabla]] Then [[integral].sup.b.sub.a] [f.sup.[DELTA]](t)g(t)[DELTA]t = f(t)g(t) [|.sup.b.sub.a] - [[integral].sup.b.sub.a] f(t)[g.sup.[nabla]](t)[nabla]t, (2.2) [[integral].sup.b.sub.a] [f.sup.[nabla]](t)g(t)[nabla]t = f(t)g(t) [|.sup.b.sub.a] - [[integral].sup.b.sub.a] f(t)[g.sup.[DELTA]](t)[DELTA]t, (2.3) Proof. It is enough to prove (2.2) as (2.3) is a modification of (2.2). To prove (2.2) note that by the product rule for [DELTA]-derivative we have [(fg).sup.[DELTA]](t) = [f.sup.[DELTA]]t)g(t) + f ([sigma](t))[g.sup.[DELTA]](t). Further, [DELTA]-integrating both sides of the last equation we get f(t)g(t) [|.sup.b.sub.a] = [[integral].sup.b.sub.a] [f.sup.[DELTA]](t)g(t)DELTA]t + [[integral].sup.b.sub.a] f([sigma](t))[g.sup.[DELTA](t)[DELTA]t. (2.4) On the other hand, using Theorem 2.1(ii) and Theorem 2.2(ii) we have [[integral].sup.b.sub.a]f([sigma](t))[g.sup.[DELTA]](t)[DELTA]t = [[integral].sup.b.sub.a] f([sigma](t))[g.sup.[nabla]]([sigma](t))[DELTA]t = [[integral].sup.b.sub.a] f(t)[g.sup.[nabla]](t)[nabla]t. (2.5) Substituting (2.5) into the right-hand side right-hand side n → derecha right-hand side right n → rechte Seite f right-hand side n → lato destro of (2.4) we arrive at (2.2). [] 3. Mean Square Convergent Expansions Denote de·note tr.v. de·not·ed, de·not·ing, de·notes 1. To mark; indicate: a frown that denoted increasing impatience. 2. by H the Hilbert space of all real [nabla]-measurable functions y : (a, b] [right arrow] R such that y(b) = 0 in the case b is left-scattered, and that [[integral].sup.b.sub.a] [y.sup.2](t)[nabla]t < [infinity infinity, in mathematics, that which is not finite. A sequence of numbers, a1, a2, a3, … , is said to "approach infinity" if the numbers eventually become arbitrarily large, i.e. ], with the inner product (scalar product scalar product n. The numerical product of the lengths of two vectors and the cosine of the angle between them. Also called dot product, inner product. ) <y, z> = [[integral].sup.b.sub.a] y(t)z(t)[nabla]t and the norm [parallel]y[[parallel] = [square root of <y, y>] = {[[integral].sup.b.sub.a] [y.sup.2](t)[nabla]t}.sup.1/2]. Next denote by D the set of all functions y [member of] H satisfying the following three conditions: (i) y is continuous on (a, b], y(b) = 0, there exists y(a) := [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] and y(a) = 0. (ii) y is continuously [DELTA]-differentiable on (a, b), there exist (finite finite - compact ) limits [y.sup.[DELTA]](a) := [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] and [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]. (iii) [y.sup[DELTA] is [nabla]-differentiable on (a, b] and [y.sup.[DELTA][nabla]] [member of] H. Obviously D is a linear subset dense in H. Now we define the operator A : D [subset] H [right arrow] H as follows. The domain of definition of A is D and we put (Ay)(t) = -[y.sup.[DELTA][nabla]](t), t [member of] (a, b], for y [member of] D. Definition 3.1. A complex number e is called an eigenvalue of problem (1.1), (1.2) if there exists a nonidentically zero function y [member of] D such that -[y.sup.[DELTA][nabla]](t) = [lambda]y(t), t [member of] (a, b). The function y is called an eigenfunction of problem (1.1), (1.2), corresponding to the eigenvalue [lambda]. We see that the eigenvalue problem (1.1), (1.2) is equivalent to the equation Ay = [lambda]y, y [member of] D, y [not equal to] 0. (3.1) Theorem 3.2. We have <Ay, z> = <y, Az> for all y, z [member of] D, (3.2) <Ay, y> = [[integral].sup.b.sub.a] [[y.sup.[DELTA]](t)].sup.2][DELTA]t for all y [member of] D. (3.3) Proof. Using integration by parts formulas (2.2), (2.3) we have for all y, z [member of] D [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] where we have used the boundary conditions boundary condition n. Mathematics The set of conditions specified for behavior of the solution to a set of differential equations at the boundary of its domain. u(a) = u(b) = 0 for functions u [member of] D. Simultaneously we have also got <Ay, y> = -[y.sup.[DELTA](t)y(t) [|.sup.b.sub.a] + [[integral].sup.b.sub.a] [[[y.sup.[DELTA]](t)].sup.2][DELTA]t = [[integral].sup.b.sub.a] [[y.sup.[DELTA]](t)].sup.2][DELTA]t. The theorem is proved. Relation (3.2) shows that the operator A is symmetric (self-adjoint), while (3.3) shows that it is positive: <Ay, y> > 0 for all y [member of] D, y [not equal to] 0. Therefore all eigenvalues of the operator A are real and positive and any two eigenfunctions corresponding to distinct eigenvalues are orthogonal At right angles. The term is used to describe electronic signals that appear at 90 degree angles to each other. It is also widely used to describe conditions that are contradictory, or opposite, rather than in parallel or in sync with each other. . Besides, it can easily be seen that eigenvalues of problem (1.1), (1.2) are simple, that is, to each eigenvalue there corresponds a single eigenfunction up to a constant factor (equation (1.1) can not have two linearly independent solutions satisfying y(a) = 0). Now we are going to prove the existence of eigenvalues for problem (1.1), (1.2). Note that ker A = {y [member of] D : Ay = 0} consists only of the zero element. Indeed, if y [member of] D and Ay = 0, then from (3.3) we have [y.sup.[DELTA]](t) = 0 for t [member of] [a, b) and hence y(t) = constant on [a, b]. Then using the condition y(a) = 0 (or y(b) = 0) we get that y(t) [equivalent to] 0. It follows that the inverse (mathematics) inverse - Given a function, f : D -> C, a function g : C -> D is called a left inverse for f if for all d in D, g (f d) = d and a right inverse if, for all c in C, f (g c) = c and an inverse if both conditions hold. operator [A.sup.-1] exists. To present its explicit form we introduce the Green function (see [2, 3, 9] and [4, Sec.8.4]) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (3.4) Then ([A.sup.-1]u)(t) = [[integral].sup.b.sub.a] G(t, s)u(s)[nabla]s for any u [member of] H. (3.5) The equations (3.4) and (3.5) imply that [A.sup.-1] is a completely continuous (or compact) symmetric linear operator in the Hilbert space H. The eigenvalue problem (3.1) is equivalent (note that [lambda] = 0 is not an eigenvalue of A) to the eigenvalue problem Bu = [mu]u, u [member of] H, u [not equal to] 0, where B = [A.sup.-1] and [mu] = 1/[lambda]. In other words Adv. 1. in other words - otherwise stated; "in other words, we are broke" put differently , if e is an eigenvalue and y [member of] D is a corresponding eigenfunction for A, then [mu] = [[lambda].sup.-1] is an eigenvalue for B with the same corresponding eigenfunction y; conversely con·verse 1 intr.v. con·versed, con·vers·ing, con·vers·es 1. To engage in a spoken exchange of thoughts, ideas, or feelings; talk. See Synonyms at speak. 2. , if [mu] [not equal to] 0 is an eigenvalue and u [member of] H is a corresponding eigenfunction for B, then u [member of] D and [lambda] = [[mu].sup.-1] is an eigenvalue for A with the same eigenfunction u. Note that [mu] = 0 cannot be an eigenvalue for B. In fact, if Bu = 0, then applying to both sides A we get that u = 0. Next we use the following well-known Hilbert-Schmidt theorem (see, for example, [10, Sec.24.3]): For every completely continuous symmetric linear operator B in a Hilbert space H there exists an orthonormal system {[[psi PSI - Portable Scheme Interpreter ].sub.k]} of eigenvectors corresponding to eigenvalues {[[mu].sub.k]} ([[mu].sub.k] = 0) such that each element f [member of] H can be written uniquely in the form f = [summation over k] [c.sub.k][[psi].sub.k] + h, where h [member of] ker B, that is, Bh = 0. Moreover, Bf = [summation over k] [[mu].sub.k][c.sub.k][[psi].sub.k], and if the system {[[psi].sub.k]} is infinite, then lim lim abbr. Mathematics limit [[mu].sub.k] = 0 (k[right arrow][infinity]). As a corollary corollary: see theorem. of the Hilbert-Schmidt theorem we have: If B is a completely continuous symmetric linear operator in a Hilbert space H and if ker B = {0}, then the eigenvectors of B form an orthogonal basis of H. Applying the corollary of the Hilbert-Schmidt theorem to the operator B = [A.sup.-1] and using the above described connection between the eigenvalues and eigenfuncions of A and the eigenvalues and eigenfunctions of B we obtain the following result. Theorem 3.3. For the eigenvalue problem (1.1), (1.2) there exists an orthonormal system {[[psi].sub.k]} of eigenfunctions corresponding to eigenvalues {[[lambda].sub.k]}. Each eigenvalue [[lambda].sub.k] is positive and simple. The system {[[psi].sub.k]} forms an orthonormal basis for the Hilbert space H. Therefore the number of the eigenvalues is equal to N = dim H. Any function f [member of] H can be expanded in eigenfunctions [[psi].sub.k] in the form f(t) = [N.summation over (k=1)] [c.sub.k][[psi].sub.k](t), (3.6) where ck are the Fourier coefficients of f defined by [c.sub.k] = [[integral].sup.b.sub.a] f(t)[[psi].sub.k](t)[nabla]t. (3.7) In the case N = [infinity] the sum in (3.6) becomes an infinite series infinite series In mathematics, the sum of infinitely many numbers, whose relationship can typically be expressed as a formula or a function. An infinite series that results in a finite sum is said to converge (see convergence). One that does not, diverges. and it converges to the function f in metric of the space H, that is, in mean square metric: [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (3.8) Note that since [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] we get from (3.8) the Parseval equality [[integral].sup.b.sub.a] [f.sup.2](t)[nabla]t = [N.summation over (k=1)[c.sup.2.sub.k]. (3.9) Remark 3.4. Above in the definition of the Hilbert space H we required the condition y(b) = 0 for functions y : (a, b] [right arrow] R in H in the case b is left-scattered. This is needed to ensure that D is dense in H. It is also needed for validity of the mean square convergent expansion (3.6) for any function f in H, since in the case b is left-scattered (3.6) must be held at t = b as a pointwise equality (according to according to prep. 1. As stated or indicated by; on the authority of: according to historians. 2. In keeping with: according to instructions. 3. (3.8)) and then from [[psi].sub.k](b) = 0 we necessarily get f(b) = 0. Note also that the condition y(b) = 0 for H is necessary to guarantee the equality H=D in the discrete case T = Z. Remark 3.5. It is easy to see that the dimension of the space H is finite if and only if the time scale interval (a, b) consists of a finite number of points, and in this case dim H is equal to the number of points in the interval (a, b). Remark 3.6. If we denote by [psi](t, [lambda]) the solution of equation (1.1) satisfying the initial conditions [psi](a, [lambda]) = 0, [[psi].sup.[DELTA]](a, [lambda]) = 1, then the eigenvalues of problem (1.1), (1.2) will coincide with the zeros of the function [psi](b, [lambda]) (characteristic function of problem (1.1), (1.2)). So we have proved existence of zeros of [psi](b, [lambda]) by proving existence of eigenvalues of problem (1.1), (1.2). It is possible (see [1]) to prove existence of zeros of [psi](b, [lambda]) directly and to get in this way existence of the eigenvalues. 4. Uniformly Convergent Expansions In this section we prove the following result (we assume that dim H = [infinity], since in the case dim H < [infinity] the series becomes a finite sum). Theorem 4.1. Let f : [a, b] [right arrow] R be a continuous function satisfying the boundary conditions f(a) = f(b) = 0 and such that it has a [DELTA]-derivative [f.sup.[DELTA]](t) everywhere on [a, b), except at a finite number of points [t.sub.1], [t.sub.2], ..., [t.sub.m], the [DELTA]-derivative being continuous everywhere except at these points, at which [f.sup.[DELTA]] has finite limits from the left and right. Besides assume that [f.sup.[DELTA]] is bounded on [a, b) {[t.sub.1], [t.sub.2], ..., [t.sub.m]}. Then the series [[infinity].summation over (k=1)][c.sub.k][[psi].sub.k](t), (4.1) where [c.sub.k] = [[integral].sup.b.sub.a]f(t)[[psi].sub.k](t)[nabla]t, (4.2) converges uniformly on [a, b] to the function f. Proof. We employ a method applied in the case of the usual (T = R) Sturm-Liouville problem by Steklov [11]. First for simplicity we assume that the function f is [DELTA]-differentiable everywhere on [a, b) and that [f.sup.[DELTA]] is continuous and bounded on [a, b). Consider the functional J(y) = [[integral].sup.b.sub.a] [[[y.sup.[DELTA]](t)].sup.2][DELTA]t so that we have J(y) [greater than or equal to] 0. Substituting in the functional J(y) y = f(t) - [n.summation over (k=1)][c.sub.k][[psi].sub.k](t), where [c.sub.k] are defined by (4.2), we obtain [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4.3) Next, applying integration by parts formula (2.2), we get [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] where [[delta].sub.kl] is the Kronecker symbol
In number theory, the Kronecker symbol is a generalization of the Jacobi symbol to all integers. Let and where we have used the boundary conditions f(a) = f(b) = 0, [[psi].sub.k](a) = [[psi].sub.k](b) = 0, and the equation-[[psi].sup.[DELTA][nabla].sub.k] (t) = [[lambda].sub.k][[psi].sub.k](t). Therefore we have from (4.3) J (f - [n.summation over (k=1)][c.sub.k][[psi].sub.k] = [[integral].sup.b.sub.a] _ [[[f.sup.[DELTA]](t)].sup.2] [DELTA]t - [n.summation over (k=1)] [[lambda].sub.k][c.sup.2.sub.k]. Since the left-hand side left-hand side n → izquierda left-hand side left n → linke Seite f left-hand side n → lato or is nonnegative non·neg·a·tive adj. Of, relating to, or being a quantity that is either positive or zero. Adj. 1. nonnegative - either positive or zero we get the inequality inequality, in mathematics, statement that a mathematical expression is less than or greater than some other expression; an inequality is not as specific as an equation, but it does contain information about the expressions involved. [[infinity].summation over (k=1)[[lambda].sub.k][c.sup.2.sub.k] = [[integral].sup.b.sub.a] [[f[DELTA](t)].sup.2][DELTA]t (4.4) analogous analogous /anal·o·gous/ (ah-nal´ah-gus) resembling or similar in some respects, as in function or appearance, but not in origin or development. a·nal·o·gous adj. to Bessel's inequality In mathematics, especially functional analysis, Bessel's inequality is a statement about the coefficients of an element in a Hilbert space in respect to an orthonormal sequence.Let , and the convergence of the series on the left follows. All the terms of this series are nonnegative, since [[lambda].sub.k] > 0. Note that the proof of (4.4) is entirely unchanged if we assume that the function f satisfies only the conditions stated in the theorem. Indeed, when integrating by parts, it is sufficient to integrate over the intervals on which [f.sup.[DELTA]] is continuous and then add all these integrals (the integrated terms vanish by f(a) = f(b) = 0 and the fact that f, [[psi].sub.k], and [[psi].sup.[DELTA].sub.k] are continuous on [a, b]). We now show that the series [[infinity].summation over (k=1) [absolute value of [c.sub.k][[psi].sub.k](t)] (4.5) is uniformly convergent on the interval [a, b]. Obviously from this the uniformly convergence of series (4.1) will follow. Using the integral equation [psi]k(t) = [[lambda].sub.k][[integral].sup.b.sub.a]G(t, s)[[psi].sub.k](s)[nabla]s which follows from [[psi].sub.k] = [[lambda].sub.k][A.sup.-1][[psi].sub.k] by (3.5), we can rewrite re·write v. re·wrote , re·writ·ten , re·writ·ing, re·writes v.tr. 1. To write again, especially in a different or improved form; revise. 2. (4.5) as [[infinity].summation over (k=1)][[lambda].sub.k] [absolute value of [c.sub.k][g.sub.k](t)], (4.6) where [g.sub.k](t) = [[integral].sup.b.sub.a] G(t, s)[[psi].sub.k](s)[nabla]s can be regarded as the Fourier coefficient coefficient /co·ef·fi·cient/ (ko?ah-fish´int) 1. an expression of the change or effect produced by variation in certain factors, or of the ratio between two different quantities. 2. of G(t, s) as a function of s. By using inequality (4.4), we can write [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4.7) where [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (t, s) is the delta derivative derivative: see calculus. derivative In mathematics, a fundamental concept of differential calculus representing the instantaneous rate of change of a function. of G(t, s) with respect to s. The function appearing under the integral sign is bounded (see (3.4)), and it follows from (4.7) that [[infinity].summation over (k=1)][[lambda].sub.k][g.sup.2.sub.k](t) [less than or equal to] M, where M is a constant. Now replacing [[lambda].sub.k] by [square root of ([lambda].sub.k])] [square root of ([lambda].sub.k])], we apply the Cauchy-Schwarz inequality Cauchy-Schwarz inequality Any of several related inequalities developed by Augustin-Louis Cauchy and, later, Herman Schwarz (1843–1921). The inequalities arise from assigning a real number measurement, or norm, to the functions, vectors, or integrals within a to the segment of series (4.6): [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] and this inequality, together with the convergence of the series with terms [[lambda].sub.k][c.sup.2.sub.k] (see (4.4)), at once implies that series (4.6), and hence series (4.5) is uniformly convergent on the interval [a, b]. Denote the sum of series (4.1) by [f.sub.1](t): [f.sub.1](t) = [[infinity].summation over (k=1)][c.sub.k][[psi].sub.k](t). (4.8) Since the series in (4.8) is uniformly convergent on [a, b], we can multiply mul·ti·ply v. 1. To increase the amount, number, or degree of. 2. To breed or propagate. both sides of (4.8) by [[psi].sub.l](t) and then [nabla]-integrate it term-by-term to get [[integral].sup.b.sub.a][f.sub.1](t)[[psi].sub.l](t)[nabla]t = [c.sub.l]. Therefore the Fourier coefficients of [f.sub.1] and f are the same. Then the Fourier coefficients of the difference [f.sub.1] - f are zero and applying the Parseval equality (3.9) to the function [f.sub.1] - f we get that [f.sub.1] - f = 0, so that the sum of series (4.1) is equal to f(t). [] Remark 4.2. The proofs of Theorem 3.3 and Theorem 4.1 can easily be generalized to the case of equation -[p(t)[y.sup.[DELTA]](t)][nabla] + q(t)y(t) = [lambda]y(t), where p is continuously [nabla]-differentiable, p(t) > 0, and q is continuous with q(t) [greater than or equal to] 0. Received February 4, 2007; Accepted April 1, 2007 References [1] Ravi P. Agarwal, Martin Bohner, and Patricia J.Y. Wong, Sturm-Liouville eigen-value problems on time scales, Appl. Math. Comput., 99(2-3):153-166, 1999. [2] Douglas R. Anderson, Gusein Sh. Guseinov, and Joan Hoffacker, Higher-order self-adjoint boundary-value problems on time scales, J. Comput. Appl. Math., 194(2):309-342, 2006. [3] F. Merdivenci Atici and Gusein Sh. Guseinov, On Green's functions and positive solutions for boundary value problems In mathematics, in the field of differential equations, a boundary value problem is a differential equation together with a set of additional restraints, called the boundary conditions. on time scales, J. Comput. Appl. Math., 141(1-2):75-99, 2002. Dynamic equations on time scales. [4] Martin Bohner and Allan Peterson, Dynamic equations on time scales, Birkhauser Boston Inc., Boston, MA, 2001. An introduction with applications. [5] Martin Bohner and Allan Peterson, Advances in dynamic equations on time scales, Birkhauser Boston Inc., Boston, MA, 2003. [6] Chuan Jen Chyan, John M. Davis, Johnny Henderson, and William K.C. Yin, Eigenvalue comparisons for differential equations differential equation Mathematical statement that contains one or more derivatives. It states a relationship involving the rates of change of continuously changing quantities modeled by functions. on a measure chain, Electron. J. Differential Equations, pages No. 35, 7 pp. (electronic), 1998. [7] Metin Gurses, Gusein Sh. Guseinov, and Burcu Silindir, Integrable equations on time scales, J. Math. Phys., 46(11):113510, 22, 2005. [8] Gusein Sh. Guseinov, Integration on time scales, J. Math. Anal anal (a´n'l) relating to the anus. a·nal adj. 1. Of, relating to, or near the anus. 2. . Appl., 285(1):107-127, 2003. [9] Gusein Sh. Guseinov, Self-adjoint boundary value problems on time scales and symmetric Green's functions, Turkish J. Math., 29(4):365-380, 2005. [10] A.N. Kolmogorov and S.V. Fomin, Introductory real analysis, Revised English edition. Translated from the Russian and edited by Richard A. Silverman. Prentice-Hall Inc., Englewood Cliffs, N.Y., 1970. [11] V.A. Steklov, Osnovnye zadachi matematicheskoi fiziki, "Nauka", Moscow, second edition, 1983, Edited and with a preface pref·ace n. 1. a. A preliminary statement or essay introducing a book that explains its scope, intention, or background and is usually written by the author. b. An introductory section, as of a speech. 2. by V. S. Vladimirov. Gusein Sh. Guseinov Department of Mathematics, Atilim University, 06836 Incek, Ankara, Turkey E-mail: guseinov@atilim.edu.tr |
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in a Hilbert space in respect to an orthonormal sequence.
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