Discrete norm approximation of the $L^p$ norm for spline functions
up vote
0
down vote
favorite
In Theorem 5.2 in Lynche (1988) "A data reduction strategy for splines with applications to the approximation of functions and data", a bound for the difference between the $(l_2,t)$ and $L^2$ norms is given (Equation 5.8), where $(l_2,t)$ is the discrete weighted norm defined in Equation 5.4.
Could this result be extended to the general $(l_p,t)$ and $L^p$ $(l_2,t)$ norms
for $1leq pleqinfty$? Or at least for $p=1$?
Thanks in advance.
norm approximation spline
New contributor
add a comment |
up vote
0
down vote
favorite
In Theorem 5.2 in Lynche (1988) "A data reduction strategy for splines with applications to the approximation of functions and data", a bound for the difference between the $(l_2,t)$ and $L^2$ norms is given (Equation 5.8), where $(l_2,t)$ is the discrete weighted norm defined in Equation 5.4.
Could this result be extended to the general $(l_p,t)$ and $L^p$ $(l_2,t)$ norms
for $1leq pleqinfty$? Or at least for $p=1$?
Thanks in advance.
norm approximation spline
New contributor
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
In Theorem 5.2 in Lynche (1988) "A data reduction strategy for splines with applications to the approximation of functions and data", a bound for the difference between the $(l_2,t)$ and $L^2$ norms is given (Equation 5.8), where $(l_2,t)$ is the discrete weighted norm defined in Equation 5.4.
Could this result be extended to the general $(l_p,t)$ and $L^p$ $(l_2,t)$ norms
for $1leq pleqinfty$? Or at least for $p=1$?
Thanks in advance.
norm approximation spline
New contributor
In Theorem 5.2 in Lynche (1988) "A data reduction strategy for splines with applications to the approximation of functions and data", a bound for the difference between the $(l_2,t)$ and $L^2$ norms is given (Equation 5.8), where $(l_2,t)$ is the discrete weighted norm defined in Equation 5.4.
Could this result be extended to the general $(l_p,t)$ and $L^p$ $(l_2,t)$ norms
for $1leq pleqinfty$? Or at least for $p=1$?
Thanks in advance.
norm approximation spline
norm approximation spline
New contributor
New contributor
edited Nov 16 at 14:36
New contributor
asked Nov 16 at 12:14
Fabio.100
11
11
New contributor
New contributor
add a comment |
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Fabio.100 is a new contributor. Be nice, and check out our Code of Conduct.
Fabio.100 is a new contributor. Be nice, and check out our Code of Conduct.
Fabio.100 is a new contributor. Be nice, and check out our Code of Conduct.
Fabio.100 is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3001069%2fdiscrete-norm-approximation-of-the-lp-norm-for-spline-functions%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown