Determinants and Quadratic Forms
[84/100%]Let the vertices of a polyhedron be numbered in a definite order. Define a determinant of th order as follows:
If the th and the th vertices are the two end-points of an edge of the polyhedron, let .
If the line joining the th and the th vertices is not an edge of the polyhedron, let . In particular , .
Show that the value of this determinant is independent of the manner of numbering the vertices. Form and calculate the determinants for the regular tetrahedron, hexahedron and octahedron.
(continued). If exactly edges end in each vertex the determinant is divisible by .
(continued). If exactly edges end in each vertex the determinant is divisible by .
Calculate
Prove the identity:
Denoting the determinant of the quadratic form
by , we have
Also calculate the determinant of the quadratic form
Derive Theorem 86 of Part V from Theorem 48 of Part V by means of a transformation of the determinant .
Setting , we have
Add to all the elements the variable . The determinant formed in this way is a linear function of and as such can be determined from two particular values.
Set . Then the functional determinant
Prove that is a divisor of the expression
Determine the remaining factors.
The determinant
is an alternating rational entire function of the numbers and thus divisible by the product of differences
Show that the quotient is equal to the th elementary symmetric function of the numbers .
Let the numbers be different from . Then we have identically in
Let denote constants, a variable. Suppose that and that we have identically
Then
(This serves as a method of computing the reciprocal of a given power series. The supposed identity may be merely formal; no considerations of convergence are involved.)
Let denote constants, a variable. Suppose that and that we have identically
Then
(This serves as a method of computing the reciprocal of a given power series. The supposed identity may be merely formal; no considerations of convergence are involved.)
Compute the coefficient of in the expansion of first from Problem 11.1 then directly.
Compute the coefficient of in the expansion of first from Problem 11.1 then directly.
Analogously to Problem 11.2, compute the coefficient of in the expansion of .
Analogously to Problem 11.2, compute the coefficient of in the expansion of .
Let be real numbers. The system
can be consistent in two different ways. In one case the unknowns are completely undetermined, in the other case they are completely determined.
Let the entire function
have all distinct zeros
Consider the system of equations
that completely determine the . If
is convergent, then exists, but it is not necessarily true that
One solution of the infinite system
is: .
In the equations
let the coefficients and the unknowns be complex:
real. For the equations to admit not only the identically zero solution
it is necessary and sufficient that the determinant vanishes. This yields two equations in the real numbers . On the other hand the given equations may be written as linear homogeneous equations for real unknowns. The necessary and sufficient condition for the existence of a not identically vanishing solution now consists in the vanishing of a real determinant, i.e. in one equation in the . How can this be correct?
The six terms in the expansion of a third-order determinant cannot all be positive.
The rule for the expansion of a determinant consists of two parts. The first part specifies what products are to be formed from the elements, while the second part determines the sign of these products.
The second part may be simplified in the case of second-order determinants in the following manner:
Associate with the elements
Then form the products prescribed in the first part from the elements, each with its fixed associated sign.
Now prove that a corresponding simplification is impossible in the case of a determinant of order higher than two, i.e. it is impossible to associate with the elements fixed signs in such a way that, if we form the products prescribed in the first part of the expansion rule from the elements each with its associated sign, we automatically obtain the correct sign in all the products.
Let the power series represent a rational function whose denominator is of precise degree and whose numerator is of precise degree . Assume that the numerator and the denominator have no common divisor. Setting we have
In Problems 17--34 we consider the Hankel (or recurrent) determinants
formed from the coefficients of the power series ; is the leading entry, is the number of rows.
Let be non-negative integers. If we have
then the power series may be represented as the quotient of two polynomials, where the denominator is of degree and the numerator is of degree .
Investigate the dependence of the linear forms
If we have
then the determinants are either all , or all .
The triangular array
is arranged so that a right angle opening upwards and bisected by the vertical contains only minors of the determinant standing at the vertex of the angle.
In the array of Problem 21, and constitute a horizontal pair, and constitute a vertical pair, and constitute a diagonal pair, and also form a diagonal pair, cross-wise to and .
If a diagonal pair vanishes, then the diagonal pair cross-wise to it also vanishes.
If a horizontal pair vanishes, then either the horizontal pair lying above it or the one lying below it also vanishes.
If a vertical pair vanishes, then either the neighbouring vertical pair on the left or the one on the right also vanishes.
Theorems (1), (2), (3) also hold on the slanting boundary line of the array of Problem 21.
If of the infinitely many determinants
only finitely many are different from , then the power series represents a rational function whose denominator is of degree not greater than . [Problems 20, 18.]
If of the infinitely many determinants
only finitely many are different from , then the power series represents a rational function.
If of the infinitely many determinants
only finitely many are different from , then the power series represents a rational function.
Show that the sufficient criteria given in Problems 23, 24, 25 for the power series to represent a rational function are also necessary.
The rank of the matrix is finite if and only if the power series represents a rational function.
An infinite matrix
is said to be of finite rank if all determinants of order contained in it vanish but not all those of order .
In the infinite Hankel matrix
() we term the rank just defined also the gross rank of . By striking out the first columns (or rows) we obtain from the matrix
whose rank we shall denote by . We have , , . The minimum of the sequence of numbers , which is necessarily attained after finitely many steps, we term the net rank of .
The gross rank of is equal to the order of the last non-vanishing determinant in the infinite sequence
If this is then the net rank is equal to the order of the first non-vanishing determinant in the finite sequence
(The net rank if these determinants all vanish.)
The net rank of (assumed finite) is equal to the degree of the denominator of the rational function represented by . The rational function is a proper fraction if and only if the gross rank is equal to the net rank. If the gross rank is greater than the net rank, then the gross rank exceeds the degree of the numerator by one. (The numerator and the denominator of the rational function are assumed to have no common divisors; the degree here is the precise degree.)
The power series
satisfies a linear homogeneous differential equation with constant coefficients if and only if the determinants
apart from a finite number, all vanish.
Let be a polynomial of degree , , . For brevity set
( is a homogeneous linear expression in ).
We have
Let be the power series expansion of a rational function whose denominator (with no common divisors with the numerator) is . Between the matrices
there exists the relation
In a system of finitely many power series there are linearly independent series if the rank of the corresponding matrix is , and any power series of the system is linearly dependent on those power series.
Let the rank of the infinite matrix with finitely many () rows
be denoted by and let the rank of the matrix that is formed from by deleting the first columns (in whose left upper corner we have the element ) be . We have , and we term the net rank of .
The matrix corresponds to the system of power series
We say that these are linearly dependent if there exist constants satisfying , such that we have
identically in . They are said to be quasilinearly dependent if there exist constants satisfying , such that we have
identically in , where is a polynomial.
The power series $f(z), zf(z), z^{2} f(z), \ldots , z^{m} f(z)$ are quasilinearly dependent for sufficiently large $m$'' and represents a rational function'': these two statements are equivalent. We say that represents an algebraic function if the power series () are linearly dependent for sufficiently large . We say that satisfies an algebraic differential equation of the th order, if the power series
are linearly dependent for sufficiently large .
In a system of finitely many power series there are quasilinearly independent series if the net rank of the corresponding matrix is , and any power series of the system is quasilinearly dependent on those power series.
Consider the two quadratic forms
If they are positive, then the quadratic form
is also positive. If furthermore one of the given forms is definite and if in the matrix of the other the entries on the principal diagonal are different from , then the third form is also definite.
Consider the two symmetric matrices
If the quadratic form corresponding to the matrix is positive, then the quadratic form corresponding to is also positive. If moreover among the rows of there are no two identical, then the form corresponding to is in fact definite.
See Problem 76 of Part V.
Let the power series
have no negative coefficients and converge for . If the quadratic form corresponding to the symmetric matrix of order is positive, then the quadratic form corresponding to is also positive. If moreover there are among the coefficients at least different from and if of the rows of no two are identical, then the form corresponding to is in fact definite.
Let the real numbers have the following property: If denotes an arbitrary polynomial, with real coefficients of degree at most , that does not vanish identically and does not take a negative value for any real value of , then also
for all real values of .
Show that for this to be true it is necessary and sufficient that the quadratic form
is positive (or positive definite, respectively).
Let the numbers , have the following property: If is an arbitrary polynomial with real coefficients of degree at most , that does not vanish identically and is non-negative for non-negative values of , then also
for all non-negative values of ( real).
Show that for this to be true it is necessary and sufficient that the two quadratic forms
are positive (or positive definite, respectively).
Let the numbers , have the following property: If denotes a polynomial with real coefficients of degree that does not vanish identically and is non-negative in the interval , then also
for . Show that the only set of numbers of this kind is determined by the conditions
Let the two quadratic forms
be positive. If we set
then the quadratic form
is also positive, and it is in fact definite if at least one of the two preceding forms is definite and the other not identically vanishing.
Let
From the positiveness of the four quadratic forms
follows the positiveness of the following two forms:
Furthermore, from the positiveness of the four quadratic forms
follows the positiveness of the following two forms:
Let be real and let the complex numbers
have the following property: If
denotes an arbitrary trigonometric polynomial of degree at most , that does not vanish identically and does not have a negative value for any value of , let
Show that for this to be true, it is necessary and sufficient that the Hermitian form
is positive (or positive definite, respectively).
Let be an entire function that takes real values for real , with , and
If has infinitely many zeros, all real, and is of the form given in Problem 165 of Part V, then, for ,
(If of the form in Problem 165 of Part V has only a finite number of zeros, then only a finite number of these recurrent determinants can be [Problem 27].)
Let be an entire function that takes real values for real , with , and
If has infinitely many zeros, all real, and is of the form given in Problem 165 of Part V, then, for ,
(If of the form in Problem 165 of Part V has only a finite number of zeros, then only a finite number of these recurrent determinants can be [Problem 27].)
Let be an entire function of the form given in Problem 165 of Part V, but not of the form , and
Then, for ,
Let be an entire function of the form given in Problem 165 of Part V, but not of the form , and
Then, for ,
Let the elements of a determinant of th order be independent variables. Show that, of the terms in the expansion of the determinant, only are independent, and determine terms by means of which all the remaining terms may be expressed rationally.
In the expansion of a symmetric th order determinant (with arbitrary elements) let be the number of distinct positive terms and the number of distinct negative terms. For we have already in the works of Cayley the recurrence relation
Show that for we have the recurrence relation
and that
In the expansion of a symmetric th order determinant , in which the elements in the leading diagonal are equal to zero, let be the number of distinct positive terms and the number of distinct negative terms. Setting
we have
and
Let the capital letters denote matrices. In particular, let denote the identity matrix with entries along the main diagonal and elsewhere, and denote the matrix in which all entries are . Show that
Let the capital letters denote matrices. In particular, let denote the identity matrix with entries along the main diagonal and elsewhere, and denote the matrix in which all entries are . Show that
(continued). If all the entries of are positive numbers,
and , then there are among the entries of at least positive numbers and at least negative numbers.
Prove this, and show by examples that the two bounds for the number of positive entries, and , can be attained.
(continued). If all the entries of are positive numbers,
and , then there are among the entries of at least positive numbers and at least negative numbers.
Prove this, and show by examples that the two bounds for the number of positive entries, and , can be attained.
Denote the difference product by . It is well known that an expression of the form
is a symmetric function of . Here the sum is to be taken over all the permutations of and for the even permutations the positive sign is to be chosen and for the odd permutations the negative sign. Prove that, if
then
Let the characteristic equation of the matrix , ,
have the roots , that need not necessarily be all distinct. Denote the minors of order of by . Prove that the characteristic equation of the matrix has the roots
The linear transformations
arbitrary, form a group in the following sense: We have
Let be a trigonometric polynomial of order at most , with purely real coefficients. Determine the conditions that must satisfy, in order that the linear transformations
arbitrary, form a group in the following sense: We have
(continued). The determinant of the linear transformation vanishes for all values of . The single exceptional case, when it is identically , is
(Continuation of Problem 49.) The transformation is orthogonal, i.e. we have identically in that
We say that the linear transformation
or that the corresponding matrix is orthogonal, if the relations
and also the further relations
are satisfied. We define similarly the orthogonality of a matrix that goes to infinity in four directions:
The Fibonacci numbers are defined as follows: Set , , for . The linear transformation
is orthogonal.
Let be real and not integral. The linear transformation
is orthogonal.
In problems 54.1--54.4 we consider infinite triangular matrices
where it is understood that all elements above the principal diagonal are . An equation between such matrices is regarded as valid if, and only if, it is valid between the corresponding submatrices with elements obtained by deleting all rows and columns except the first , for .
Prove the relation, involving binomial coefficients,
In problems 54.1--54.4 we consider infinite triangular matrices
where it is understood that all elements above the principal diagonal are . An equation between such matrices is regarded as valid if, and only if, it is valid between the corresponding submatrices with elements obtained by deleting all rows and columns except the first , for .
Prove the relation, involving binomial coefficients,
Prove the relation, involving Stirling numbers and of the first and second kind respectively (see the introductions to Problems 197 and 186 of Part I),
In other words, the matrices and are inverse to each other.
Prove the relation, involving Stirling numbers and of the first and second kind respectively (see the introductions to Problems 197 and 186 of Part I),
In other words, the matrices and are inverse to each other.
Prove
Cf. Problem 34.1 of Part I and Problem 54.1.
Prove
Cf. Problem 34.1 of Part I and Problem 54.1.
Generalizing Problem 54.3, find all infinite sequences of numbers such that the system of relations
should imply the same system with the roles of and reversed, that is,
for .
See Problem 34.1 of Part I.
Generalizing Problem 54.3, find all infinite sequences of numbers such that the system of relations
should imply the same system with the roles of and reversed, that is,
for .
See Problem 34.1 of Part I.
We term the determinant
the Wronskian determinant of the system of functions .
If are constants, then we have
setting on the right-hand side.
If vanishes at every point and at no point of the interval , then there exist constants such that in the whole interval
If are linearly independent solutions of the homogeneous linear th order differential equation
then we have for an arbitrary function
(continued). Set
Then we have for an arbitrary function
This representation of the linear differential expression, in terms of independent solutions of the homogeneous differential equation, is analogous to the factorization of a polynomial of degree in terms of its zeros.
Let be continuous real functions, defined in the interval . The determinant
is never negative. It vanishes if and only if between the functions there exists a homogeneous linear relation with constant coefficients, not all .
(continued). The determinant
\begin{vmatrix} \displaystyle \int _{a}^{b} (f_{2}^{2}+f_{3}^{2}+\cdots +f_{n}^{2}) \, dx & -\displaystyle \int _{a}^{b} f_{1} f_{2} \, dx & \ldots & -\displaystyle \int _{a}^{b} f_{1} f_{n} \, dx \\ ]2ex] -\displaystyle \int _{a}^{b} f_{2} f_{1} \, dx & \displaystyle \int _{a}^{b} (f_{1}^{2}+f_{3}^{2}+\cdots +f_{n}^{2}) \, dx & \ldots & -\displaystyle \int _{a}^{b} f_{2} f_{n} \, dx \\[2ex] \multicolumn {4}{c}{\dotfill } \\ ]1ex] -\displaystyle \int _{a}^{b} f_{n} f_{1} \, dx & -\displaystyle \int _{a}^{b} f_{n} f_{2} \, dx & \ldots & \displaystyle \int _{a}^{b} (f_{1}^{2}+f_{2}^{2}+\cdots +f_{n-1}^{2}) \, dx \end{vmatrix} \[ is never negative. It vanishes if and only if the functions $f_{1}(x), f_{2}(x), \ldots , f_{n}(x)$ differ from one another only by constant factors, or, in other words, if they are all multiples of one of them. \](continued). The determinant
is never negative. It vanishes if and only if among the functions there are two identically equal.
A theorem mentioned in passing by Gauss in his Theoria combinationis observationum [Werke, Vol. 4, p. 12, cf. the last two lines of Art. 11] may be generalized as follows:
Let be defined for , non-increasing there, , but not identically . Moreover let the real numbers be distinct. Assuming the existence of all the integrals that occur, the determinant
is never negative. It is if and only if is a piecewise constant function with not more than jump discontinuities.
Let the function be properly integrable in the interval . Let its Fourier series (Section 4 of Part VI) be
The Hermite forms
formed from the constants , , , , are called the Toeplitz forms associated with . (Cf. Problem 43).
Form the Toeplitz forms that belong to the following functions:
If the function is positive in the interval , then all its associated Toeplitz forms are positive definite. More precisely: If lies between the bounds in the interval , then we have
provided that the variables satisfy the condition . The equality sign can hold here only if at every point of continuity of .
Calculate the determinant of the form for the functions in Problem 67 and show that, if is everywhere positive,
Let be a trigonometric polynomial of first order and let be a parameter. The determinant of the Toeplitz form associated with is a polynomial of degree in with only real zeros. Calculate these zeros.
(continued). The zeros of all lie between the minimum and the maximum of , that is , if in the interval . Moreover if denotes an arbitrary properly integrable function in the interval , then we have
Let the Hermitian form
be positive definite. Then all the zeros of the polynomial
lie in the interior of the unit circle.