Cramer's rule solution of the Padé approximant equations

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Padé approximants are a particular type of rational approximation. The $L, M$ Padé approximant is denoted by
$$[L/M] = P_L(x)/Q_M(x)$$
where $P_L(x)$ is a polynomial of degree less than or equal to $L$, and $Q_M(x)$ is a polynomial of degree less than or equal to $M$. The formal power series
$$f(x) = sum _j=0^infty f_jx^j$$
determines the coefficients by the equation
$$f(x) -P_L(x)/Q_M(x)=O(x^L+M+1).$$
There is also an extra condition added by Baker which states that
$$Q_M(0)= 1$$
A proof at the beginning of Essentials of Padé approximants shows that the $[L/M]$ Padé approximant is unique when it exists (Frobenius, 1881).
Now, it is also well known that Jacobi made a breakthrough in 1846. In particular, he applied Cramer's rule to get a determinant solution to the Padé approximant equations.
For $P_L(x)$ and $Q_M(x)$, a simplification of Cauchy's solution to the problem of rational interpolation produces two determinant solution formulas:
The numerator, $P_L(x)$, can be represented by
$$labelten
P_L(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots \f_L & f_L+1 & cdots &f_L+M \ sum_j=M^L f_j-Mx^j & sum_j=M-1^L f_j-M+1x^j & cdots & sum_j=0^L f_jx^j endvmatrix $$
Similarly, the denominator can be represented by
$$labelnine
Q_M(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots\f_L & f_L+1 & cdots &f_L+M \ x^M & x^M-1 & cdots & 1 endvmatrix $$
However, it isn't clear to me how Jacobi found these determinant solutions. If I go and review the source -
Jacobi, C. G. J. (1846) Uber die Darstellung einer Reihe Gegebner Werthe durch eine Gebrochne Rationale Function. J. Reine Angew. Math. (Crelle) 30, 127-156.
I find that Crelle's journal contains the necessary information on pages 127-156 of the 1846 issue. However, the paper is in German and I cannot read it.
Does anyone know if this paper has been translated into English? Is there some way I could find this out on my own? I am looking to do the derivation myself and wasn't able to find an equivalent article in English.
approximation-theory pade-approximation
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Padé approximants are a particular type of rational approximation. The $L, M$ Padé approximant is denoted by
$$[L/M] = P_L(x)/Q_M(x)$$
where $P_L(x)$ is a polynomial of degree less than or equal to $L$, and $Q_M(x)$ is a polynomial of degree less than or equal to $M$. The formal power series
$$f(x) = sum _j=0^infty f_jx^j$$
determines the coefficients by the equation
$$f(x) -P_L(x)/Q_M(x)=O(x^L+M+1).$$
There is also an extra condition added by Baker which states that
$$Q_M(0)= 1$$
A proof at the beginning of Essentials of Padé approximants shows that the $[L/M]$ Padé approximant is unique when it exists (Frobenius, 1881).
Now, it is also well known that Jacobi made a breakthrough in 1846. In particular, he applied Cramer's rule to get a determinant solution to the Padé approximant equations.
For $P_L(x)$ and $Q_M(x)$, a simplification of Cauchy's solution to the problem of rational interpolation produces two determinant solution formulas:
The numerator, $P_L(x)$, can be represented by
$$labelten
P_L(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots \f_L & f_L+1 & cdots &f_L+M \ sum_j=M^L f_j-Mx^j & sum_j=M-1^L f_j-M+1x^j & cdots & sum_j=0^L f_jx^j endvmatrix $$
Similarly, the denominator can be represented by
$$labelnine
Q_M(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots\f_L & f_L+1 & cdots &f_L+M \ x^M & x^M-1 & cdots & 1 endvmatrix $$
However, it isn't clear to me how Jacobi found these determinant solutions. If I go and review the source -
Jacobi, C. G. J. (1846) Uber die Darstellung einer Reihe Gegebner Werthe durch eine Gebrochne Rationale Function. J. Reine Angew. Math. (Crelle) 30, 127-156.
I find that Crelle's journal contains the necessary information on pages 127-156 of the 1846 issue. However, the paper is in German and I cannot read it.
Does anyone know if this paper has been translated into English? Is there some way I could find this out on my own? I am looking to do the derivation myself and wasn't able to find an equivalent article in English.
approximation-theory pade-approximation
Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Padé approximants are a particular type of rational approximation. The $L, M$ Padé approximant is denoted by
$$[L/M] = P_L(x)/Q_M(x)$$
where $P_L(x)$ is a polynomial of degree less than or equal to $L$, and $Q_M(x)$ is a polynomial of degree less than or equal to $M$. The formal power series
$$f(x) = sum _j=0^infty f_jx^j$$
determines the coefficients by the equation
$$f(x) -P_L(x)/Q_M(x)=O(x^L+M+1).$$
There is also an extra condition added by Baker which states that
$$Q_M(0)= 1$$
A proof at the beginning of Essentials of Padé approximants shows that the $[L/M]$ Padé approximant is unique when it exists (Frobenius, 1881).
Now, it is also well known that Jacobi made a breakthrough in 1846. In particular, he applied Cramer's rule to get a determinant solution to the Padé approximant equations.
For $P_L(x)$ and $Q_M(x)$, a simplification of Cauchy's solution to the problem of rational interpolation produces two determinant solution formulas:
The numerator, $P_L(x)$, can be represented by
$$labelten
P_L(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots \f_L & f_L+1 & cdots &f_L+M \ sum_j=M^L f_j-Mx^j & sum_j=M-1^L f_j-M+1x^j & cdots & sum_j=0^L f_jx^j endvmatrix $$
Similarly, the denominator can be represented by
$$labelnine
Q_M(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots\f_L & f_L+1 & cdots &f_L+M \ x^M & x^M-1 & cdots & 1 endvmatrix $$
However, it isn't clear to me how Jacobi found these determinant solutions. If I go and review the source -
Jacobi, C. G. J. (1846) Uber die Darstellung einer Reihe Gegebner Werthe durch eine Gebrochne Rationale Function. J. Reine Angew. Math. (Crelle) 30, 127-156.
I find that Crelle's journal contains the necessary information on pages 127-156 of the 1846 issue. However, the paper is in German and I cannot read it.
Does anyone know if this paper has been translated into English? Is there some way I could find this out on my own? I am looking to do the derivation myself and wasn't able to find an equivalent article in English.
approximation-theory pade-approximation
Padé approximants are a particular type of rational approximation. The $L, M$ Padé approximant is denoted by
$$[L/M] = P_L(x)/Q_M(x)$$
where $P_L(x)$ is a polynomial of degree less than or equal to $L$, and $Q_M(x)$ is a polynomial of degree less than or equal to $M$. The formal power series
$$f(x) = sum _j=0^infty f_jx^j$$
determines the coefficients by the equation
$$f(x) -P_L(x)/Q_M(x)=O(x^L+M+1).$$
There is also an extra condition added by Baker which states that
$$Q_M(0)= 1$$
A proof at the beginning of Essentials of Padé approximants shows that the $[L/M]$ Padé approximant is unique when it exists (Frobenius, 1881).
Now, it is also well known that Jacobi made a breakthrough in 1846. In particular, he applied Cramer's rule to get a determinant solution to the Padé approximant equations.
For $P_L(x)$ and $Q_M(x)$, a simplification of Cauchy's solution to the problem of rational interpolation produces two determinant solution formulas:
The numerator, $P_L(x)$, can be represented by
$$labelten
P_L(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots \f_L & f_L+1 & cdots &f_L+M \ sum_j=M^L f_j-Mx^j & sum_j=M-1^L f_j-M+1x^j & cdots & sum_j=0^L f_jx^j endvmatrix $$
Similarly, the denominator can be represented by
$$labelnine
Q_M(x)=mathrmdet,beginvmatrix f_L-M+1 & f_L-M+2 & cdots & f_L+1\ vdots & vdots & ddots & vdots\f_L & f_L+1 & cdots &f_L+M \ x^M & x^M-1 & cdots & 1 endvmatrix $$
However, it isn't clear to me how Jacobi found these determinant solutions. If I go and review the source -
Jacobi, C. G. J. (1846) Uber die Darstellung einer Reihe Gegebner Werthe durch eine Gebrochne Rationale Function. J. Reine Angew. Math. (Crelle) 30, 127-156.
I find that Crelle's journal contains the necessary information on pages 127-156 of the 1846 issue. However, the paper is in German and I cannot read it.
Does anyone know if this paper has been translated into English? Is there some way I could find this out on my own? I am looking to do the derivation myself and wasn't able to find an equivalent article in English.
approximation-theory pade-approximation
edited Aug 15 at 5:58
asked Aug 15 at 5:51
Axion004
186212
186212
Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59
add a comment |Â
Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59
Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59
add a comment |Â
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Baker pp. 4-7 discusses this.
â Keith McClary
Aug 16 at 4:35
Yes, Baker states that Jacobi found the relationship from the rational interpolation formulation given by Cauchy in a lecture in the 1820s. Baker doesn't show how Jacobi derived it.
â Axion004
Aug 18 at 1:59