Fourier Series and Related Questions
[98/52%]Expand in the simplest Fourier series the function , defined on the interval by the conditions:
Expand in the simplest Fourier series the function , defined on the interval by the conditions:
Expand in the simplest Fourier series the function for .
Expand in the simplest Fourier series the function for .
Expand in the simplest Fourier series the function , defined on the interval by the conditions:
Expand in the simplest Fourier series the function , defined on the interval by the conditions:
Expand in the simplest Fourier series the function for .
Expand in the simplest Fourier series the function , defined on the interval by the conditions:
Expand in the simplest Fourier series the function for .
Expand in the simplest Fourier series the function for , not an integer.
Expand in the simplest Fourier series the function for , not an integer.
Expand in the simplest Fourier series the function , defined on the interval by the conditions: for ; for .
Expand in a Fourier series the periodic function: , the fractional part of , i.e. the difference , where is the integer part of .
Expand in a Fourier series the periodic function: , the distance from to the nearest integer.
Expand in a Fourier series the periodic function: , , or , according as lies in the interval , , or , assuming that the period of equals .
If the function is not given as periodic and one seeks an expansion valid only on a given interval, then it can be expanded in a Fourier series with period equal to the length of the given interval, or with any larger period, but in the latter case the function must be extended in some way (as long as the Dirichlet conditions are satisfied). This can be used to obtain an expansion in cosines alone or in sines alone, or to restrict oneself to only the sines or cosines of odd multiples of the angle.
In the problems that follow, it will be assumed that the period is to be chosen as the smallest one for which the requirements of the problem are satisfied.
On the interval , expand the function .
Expand on the interval .
Expand on the interval .
On the interval , expand in cosines.
On the interval , expand in sines.
On the interval , expand in cosines.
The function is given on the interval . Expand it in a Fourier series with period .
The function is given on the interval . Expand it in a Fourier series as an even function.
The function is given on the interval . Expand it in a Fourier series as an odd function.
The function is given on the interval . Expand it in a Fourier series with period .
The function is given on the interval . Expand it in a Fourier series as an even function.
The function is given on the interval . Expand it in a Fourier series as an odd function.
The function is given on the interval . Expand it in a Fourier series as an odd function, in sines of odd multiples of the angle.
Functions rational in and can be expanded in a Fourier series without using the Fourier formulas. To do this we write:
where . The problem then reduces to expanding the function in positive and negative powers of . Passing back from to , we obtain the desired Fourier series expansion.
By the method just described and similar ones, obtain the following expansions:
By the method just described, obtain the following expansion:
By the method just described, obtain the following expansion:
By the method just described, obtain the following expansion:
By the method just described, obtain the following expansion:
The function , given on the interval , is continued onto the interval , so that ; prove that for the equality holds
where
How should the function , given on the interval , be continued onto the interval so that for
and how can the coefficients be computed?
Prove, for , the following equalities:
Prove, for , the following equalities:
Prove the equality:
Prove the equality:
Prove the correctness of the expansion:
on the interval .
Prove the equalities:
Prove the equalities:
Prove the equalities:
Prove the equalities:
Prove the equality (Poisson's formula):
The modulus of continuity is the exact upper bound of the oscillation of the function on intervals of length , i.e. of the numbers , where . Prove that for a continuous function the integrals
are, in absolute value, no greater than , where is a corresponding constant.
Prove the equality:
where , as , is a bounded quantity.
Prove Lebesgue's inequality:
Here and are the Fourier coefficients of the function , and is an upper bound for .
Prove that for the equality holds:
Prove that for any real and integer the equality holds
For , prove the equality:
For any real and integer , prove the equality:
Prove Fejér's inequality:
The Fejér sum is the arithmetic mean of the first Fourier sums of the function :
where for
, being the Fourier coefficients of the function . Prove that , if throughout the period.
Prove that if is a continuous function on the interval , , and for every , , , then
where , are the Fourier coefficients, is the -th partial sum of the Fourier series of .
Prove that for every continuous function on the interval , as .
Prove that for a periodic function satisfying the Cauchy--Lipschitz condition
the inequality holds, where is a constant.
Taking , wherever it occurs, to be a continuous function with period , prove the following formulas and assertions:
The integral is a trigonometric polynomial that tends to as .
Prove that
where , and is some constant.
The quantity , where
( and are defined in problem 4915) is a trigonometric polynomial of order .
Prove the equality:
For the value of , see problem 4915.
If satisfies the condition
then Jackson's inequality holds:
where is a corresponding constant.
Let be a function integrable on the interval , let and be its Fourier coefficients, let be its Fourier sum, and let be any trigonometric polynomial of order , different from . Prove the inequality:
Prove Bessel's inequality:
Starting from Bessel's inequality and the inequality , prove the convergence of the series and , where .
Prove the inequality:
Let be a function integrable on , let be an arbitrary positive constant, let be a continuous function such that , and let be the Fejér sum (see problem 4910) for , differing from by less than . Prove the inequality:
Using the preceding results, prove A.M. Lyapunov's theorem (the completeness theorem):
valid for any integrable function .
Prove the equality:
where and are integrable on the interval , and , , , are the Fourier coefficients of these functions.
Prove V.A. Steklov's theorem:
Prove V.A. Steklov's inequalities:
, if ;
; .
Prove the equality:
where is the Fejér sum of the function (see 4910).
Prove that for a function satisfying the Cauchy--Lipschitz condition
the inequality holds:
where is a corresponding constant.
Prove S.N. Bernstein's theorem: the Fourier series of a function satisfying the Cauchy--Lipschitz condition with converges absolutely.
The parametric equation of a closed curve can be put in the form
Using the formulas and
where is the area bounded by the closed curve , prove the inequality ( being the length of the curve ), which expresses that among all closed curves of length the circle has the greatest area (Hurwitz's proof).
Expand in Chebyshev polynomials the function defined on the interval by the condition .
The Chebyshev polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev polynomials the function defined on the interval by the conditions:
The Chebyshev polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev polynomials the function defined on the interval by the condition .
The Chebyshev polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev polynomials the function defined on the interval by the condition .
The Chebyshev polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand, for , in Legendre polynomials the function defined by the conditions:
The Legendre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand, for , in Legendre polynomials the function defined by the condition .
The Legendre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Laguerre polynomials , for , the function .
The Abel--Laguerre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Laguerre polynomials , for , the function .
The Abel--Laguerre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Laguerre polynomials , for , the function .
The Abel--Laguerre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Laguerre polynomials , for , the function .
The Abel--Laguerre polynomials are defined by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev--Hermite polynomials, for , the function
The Chebyshev--Hermite polynomials are defined (in the present chapter) by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev--Hermite polynomials, for , the function .
The Chebyshev--Hermite polynomials are defined (in the present chapter) by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev--Hermite polynomials, for , the function .
The Chebyshev--Hermite polynomials are defined (in the present chapter) by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev--Hermite polynomials, for , the function .
The Chebyshev--Hermite polynomials are defined (in the present chapter) by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Expand in Chebyshev--Hermite polynomials, for , the function .
The Chebyshev--Hermite polynomials are defined (in the present chapter) by the formula and have the orthogonality property: for , , while for the right-hand side equals .
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function
Represent as a Fourier integral the function