A function evaluated at a operator
$begingroup$
If dim$(V)=n$ and $tau in mathcal {L}(V)$, prove that there is a nonzero polynomial $p(x)in F[x]$ for which $p(tau)=0$. I don't understand how come a function can be evaluated at a linear operator $tau$.
linear-algebra
$endgroup$
add a comment |
$begingroup$
If dim$(V)=n$ and $tau in mathcal {L}(V)$, prove that there is a nonzero polynomial $p(x)in F[x]$ for which $p(tau)=0$. I don't understand how come a function can be evaluated at a linear operator $tau$.
linear-algebra
$endgroup$
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago
add a comment |
$begingroup$
If dim$(V)=n$ and $tau in mathcal {L}(V)$, prove that there is a nonzero polynomial $p(x)in F[x]$ for which $p(tau)=0$. I don't understand how come a function can be evaluated at a linear operator $tau$.
linear-algebra
$endgroup$
If dim$(V)=n$ and $tau in mathcal {L}(V)$, prove that there is a nonzero polynomial $p(x)in F[x]$ for which $p(tau)=0$. I don't understand how come a function can be evaluated at a linear operator $tau$.
linear-algebra
linear-algebra
asked 3 hours ago
Jiexiong687691Jiexiong687691
825
825
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago
add a comment |
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago
add a comment |
4 Answers
4
active
oldest
votes
$begingroup$
First, how to evaluate a polynomial $p(x) in F[x]$ at a linear operator $tau in mathcal L(V)$? The first thing to realize is that powers of $tau$ make sense as elements of $mathcal L(V)$; e.g., for
$vec v in V, tag 1$ we have
$tau vec v in V, tag 2$
so it makes sense to take
$tau^2 vec v = tau(tau vec v); tag 3$
indeed, accepting (3), we may inductively define
$tau^{k + 1} vec v = tau (tau^kvec v); tag 4$
thus we define $tau^m$ for any $m in Bbb N$; if $tau$ is represented by a matrix
$[tau_{ij}], tag 5$
then it is easy to see that $tau^m$ is represented by the matrix
$[(tau^m)_{ij}] = [tau_{ij}]^m. tag 6$
In any event, given $tau^m$, we see that
$(alpha tau^m)(vec v) = alpha (tau^m vec v); tag 7$
and we may also construct and evaluate expressions such as
$(alpha tau^l + beta tau^m)vec v = alpha tau^l vec v + beta tau^m vec v tag 8$
using the ordinary linearity properties of $mathcal L(V)$; continuing in this vein, we can for
$p(x) in F[x], ; p(x) = displaystyle sum_0^m p_i x^i, tag 9$
meaningfully define
$p(tau) = displaystyle sum_0^m p_i tau^i in mathcal L(V), tag{10}$
which is the general formula for $p(tau)$.
Now we recall that
$dim_F mathcal L(V) = n^2; tag{11}$
thus the set
${I, tau, tau^2, ldots, tau^{n - 1}, tau^{n^2 - 1}, tau^{n^2} } subset mathcal L(V), tag{12}$
having as it does $n^2 + 1$ elements, must be linearly dependent over $F$; hence we may find $n^2 +1$ members
$c_i in F, tag{13}$
not all $0$, such that
$displaystyle sum_0^{n^2} c_i tau_i = 0; tag{14}$
$tau$ then satisfies the polynomial
$c(x) = displaystyle sum_0^{n^2} c_i x^i in F[x]. tag{14}$
We have shown that every $tau in F[x]$ satisfies a polynomial of degree at most $n^2$, but this is far from optimal. For example, the well-known Cayley-Hamilton theorem shows that $tau$ obeys a degree-$n$ polynomial; but the proof of that result is somewhat more involved than what we have done here, and hence will be saved for yet another post.
$endgroup$
add a comment |
$begingroup$
Hint: $mathcal{L}(V)$ is also a finite dimensional vector space (over what?) Thus, you can find some integer $m$ (you can even explicitly find $m$ in terms of $n$) such that:
$${1,tau, tau^2,dots tau^m}$$ are linearly dependent. I think you can continue from here.
$endgroup$
add a comment |
$begingroup$
It's not a function, it's a polynomial. For polynomials, it's easy to understand:
if the polynomial is $f(x) = a_0 + a_1 x + ldots + a_n x^n$, and the operator is $tau$,
then $f(tau) = a_0 I + a_1 tau + ldots + a_n tau^n$.
This works in any algebra over a field $F$, where the polynomial has coefficients in $F$.
$endgroup$
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
add a comment |
$begingroup$
Let $p$ be the characterstic Polynomial of $tau$. Then there exist $a_0,a_1,cdots a_{n-1}inmathbb{C}$ such that $det(tau-lambda I)=p(t)=a_0+a_1 t+cdots a_{n-1}t^{n-1}=0$. Plugging $tau$ yeilds
$p(tau)=0$
New contributor
$endgroup$
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
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%2f3085322%2fa-function-evaluated-at-a-operator%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
First, how to evaluate a polynomial $p(x) in F[x]$ at a linear operator $tau in mathcal L(V)$? The first thing to realize is that powers of $tau$ make sense as elements of $mathcal L(V)$; e.g., for
$vec v in V, tag 1$ we have
$tau vec v in V, tag 2$
so it makes sense to take
$tau^2 vec v = tau(tau vec v); tag 3$
indeed, accepting (3), we may inductively define
$tau^{k + 1} vec v = tau (tau^kvec v); tag 4$
thus we define $tau^m$ for any $m in Bbb N$; if $tau$ is represented by a matrix
$[tau_{ij}], tag 5$
then it is easy to see that $tau^m$ is represented by the matrix
$[(tau^m)_{ij}] = [tau_{ij}]^m. tag 6$
In any event, given $tau^m$, we see that
$(alpha tau^m)(vec v) = alpha (tau^m vec v); tag 7$
and we may also construct and evaluate expressions such as
$(alpha tau^l + beta tau^m)vec v = alpha tau^l vec v + beta tau^m vec v tag 8$
using the ordinary linearity properties of $mathcal L(V)$; continuing in this vein, we can for
$p(x) in F[x], ; p(x) = displaystyle sum_0^m p_i x^i, tag 9$
meaningfully define
$p(tau) = displaystyle sum_0^m p_i tau^i in mathcal L(V), tag{10}$
which is the general formula for $p(tau)$.
Now we recall that
$dim_F mathcal L(V) = n^2; tag{11}$
thus the set
${I, tau, tau^2, ldots, tau^{n - 1}, tau^{n^2 - 1}, tau^{n^2} } subset mathcal L(V), tag{12}$
having as it does $n^2 + 1$ elements, must be linearly dependent over $F$; hence we may find $n^2 +1$ members
$c_i in F, tag{13}$
not all $0$, such that
$displaystyle sum_0^{n^2} c_i tau_i = 0; tag{14}$
$tau$ then satisfies the polynomial
$c(x) = displaystyle sum_0^{n^2} c_i x^i in F[x]. tag{14}$
We have shown that every $tau in F[x]$ satisfies a polynomial of degree at most $n^2$, but this is far from optimal. For example, the well-known Cayley-Hamilton theorem shows that $tau$ obeys a degree-$n$ polynomial; but the proof of that result is somewhat more involved than what we have done here, and hence will be saved for yet another post.
$endgroup$
add a comment |
$begingroup$
First, how to evaluate a polynomial $p(x) in F[x]$ at a linear operator $tau in mathcal L(V)$? The first thing to realize is that powers of $tau$ make sense as elements of $mathcal L(V)$; e.g., for
$vec v in V, tag 1$ we have
$tau vec v in V, tag 2$
so it makes sense to take
$tau^2 vec v = tau(tau vec v); tag 3$
indeed, accepting (3), we may inductively define
$tau^{k + 1} vec v = tau (tau^kvec v); tag 4$
thus we define $tau^m$ for any $m in Bbb N$; if $tau$ is represented by a matrix
$[tau_{ij}], tag 5$
then it is easy to see that $tau^m$ is represented by the matrix
$[(tau^m)_{ij}] = [tau_{ij}]^m. tag 6$
In any event, given $tau^m$, we see that
$(alpha tau^m)(vec v) = alpha (tau^m vec v); tag 7$
and we may also construct and evaluate expressions such as
$(alpha tau^l + beta tau^m)vec v = alpha tau^l vec v + beta tau^m vec v tag 8$
using the ordinary linearity properties of $mathcal L(V)$; continuing in this vein, we can for
$p(x) in F[x], ; p(x) = displaystyle sum_0^m p_i x^i, tag 9$
meaningfully define
$p(tau) = displaystyle sum_0^m p_i tau^i in mathcal L(V), tag{10}$
which is the general formula for $p(tau)$.
Now we recall that
$dim_F mathcal L(V) = n^2; tag{11}$
thus the set
${I, tau, tau^2, ldots, tau^{n - 1}, tau^{n^2 - 1}, tau^{n^2} } subset mathcal L(V), tag{12}$
having as it does $n^2 + 1$ elements, must be linearly dependent over $F$; hence we may find $n^2 +1$ members
$c_i in F, tag{13}$
not all $0$, such that
$displaystyle sum_0^{n^2} c_i tau_i = 0; tag{14}$
$tau$ then satisfies the polynomial
$c(x) = displaystyle sum_0^{n^2} c_i x^i in F[x]. tag{14}$
We have shown that every $tau in F[x]$ satisfies a polynomial of degree at most $n^2$, but this is far from optimal. For example, the well-known Cayley-Hamilton theorem shows that $tau$ obeys a degree-$n$ polynomial; but the proof of that result is somewhat more involved than what we have done here, and hence will be saved for yet another post.
$endgroup$
add a comment |
$begingroup$
First, how to evaluate a polynomial $p(x) in F[x]$ at a linear operator $tau in mathcal L(V)$? The first thing to realize is that powers of $tau$ make sense as elements of $mathcal L(V)$; e.g., for
$vec v in V, tag 1$ we have
$tau vec v in V, tag 2$
so it makes sense to take
$tau^2 vec v = tau(tau vec v); tag 3$
indeed, accepting (3), we may inductively define
$tau^{k + 1} vec v = tau (tau^kvec v); tag 4$
thus we define $tau^m$ for any $m in Bbb N$; if $tau$ is represented by a matrix
$[tau_{ij}], tag 5$
then it is easy to see that $tau^m$ is represented by the matrix
$[(tau^m)_{ij}] = [tau_{ij}]^m. tag 6$
In any event, given $tau^m$, we see that
$(alpha tau^m)(vec v) = alpha (tau^m vec v); tag 7$
and we may also construct and evaluate expressions such as
$(alpha tau^l + beta tau^m)vec v = alpha tau^l vec v + beta tau^m vec v tag 8$
using the ordinary linearity properties of $mathcal L(V)$; continuing in this vein, we can for
$p(x) in F[x], ; p(x) = displaystyle sum_0^m p_i x^i, tag 9$
meaningfully define
$p(tau) = displaystyle sum_0^m p_i tau^i in mathcal L(V), tag{10}$
which is the general formula for $p(tau)$.
Now we recall that
$dim_F mathcal L(V) = n^2; tag{11}$
thus the set
${I, tau, tau^2, ldots, tau^{n - 1}, tau^{n^2 - 1}, tau^{n^2} } subset mathcal L(V), tag{12}$
having as it does $n^2 + 1$ elements, must be linearly dependent over $F$; hence we may find $n^2 +1$ members
$c_i in F, tag{13}$
not all $0$, such that
$displaystyle sum_0^{n^2} c_i tau_i = 0; tag{14}$
$tau$ then satisfies the polynomial
$c(x) = displaystyle sum_0^{n^2} c_i x^i in F[x]. tag{14}$
We have shown that every $tau in F[x]$ satisfies a polynomial of degree at most $n^2$, but this is far from optimal. For example, the well-known Cayley-Hamilton theorem shows that $tau$ obeys a degree-$n$ polynomial; but the proof of that result is somewhat more involved than what we have done here, and hence will be saved for yet another post.
$endgroup$
First, how to evaluate a polynomial $p(x) in F[x]$ at a linear operator $tau in mathcal L(V)$? The first thing to realize is that powers of $tau$ make sense as elements of $mathcal L(V)$; e.g., for
$vec v in V, tag 1$ we have
$tau vec v in V, tag 2$
so it makes sense to take
$tau^2 vec v = tau(tau vec v); tag 3$
indeed, accepting (3), we may inductively define
$tau^{k + 1} vec v = tau (tau^kvec v); tag 4$
thus we define $tau^m$ for any $m in Bbb N$; if $tau$ is represented by a matrix
$[tau_{ij}], tag 5$
then it is easy to see that $tau^m$ is represented by the matrix
$[(tau^m)_{ij}] = [tau_{ij}]^m. tag 6$
In any event, given $tau^m$, we see that
$(alpha tau^m)(vec v) = alpha (tau^m vec v); tag 7$
and we may also construct and evaluate expressions such as
$(alpha tau^l + beta tau^m)vec v = alpha tau^l vec v + beta tau^m vec v tag 8$
using the ordinary linearity properties of $mathcal L(V)$; continuing in this vein, we can for
$p(x) in F[x], ; p(x) = displaystyle sum_0^m p_i x^i, tag 9$
meaningfully define
$p(tau) = displaystyle sum_0^m p_i tau^i in mathcal L(V), tag{10}$
which is the general formula for $p(tau)$.
Now we recall that
$dim_F mathcal L(V) = n^2; tag{11}$
thus the set
${I, tau, tau^2, ldots, tau^{n - 1}, tau^{n^2 - 1}, tau^{n^2} } subset mathcal L(V), tag{12}$
having as it does $n^2 + 1$ elements, must be linearly dependent over $F$; hence we may find $n^2 +1$ members
$c_i in F, tag{13}$
not all $0$, such that
$displaystyle sum_0^{n^2} c_i tau_i = 0; tag{14}$
$tau$ then satisfies the polynomial
$c(x) = displaystyle sum_0^{n^2} c_i x^i in F[x]. tag{14}$
We have shown that every $tau in F[x]$ satisfies a polynomial of degree at most $n^2$, but this is far from optimal. For example, the well-known Cayley-Hamilton theorem shows that $tau$ obeys a degree-$n$ polynomial; but the proof of that result is somewhat more involved than what we have done here, and hence will be saved for yet another post.
answered 2 hours ago
Robert LewisRobert Lewis
45k22964
45k22964
add a comment |
add a comment |
$begingroup$
Hint: $mathcal{L}(V)$ is also a finite dimensional vector space (over what?) Thus, you can find some integer $m$ (you can even explicitly find $m$ in terms of $n$) such that:
$${1,tau, tau^2,dots tau^m}$$ are linearly dependent. I think you can continue from here.
$endgroup$
add a comment |
$begingroup$
Hint: $mathcal{L}(V)$ is also a finite dimensional vector space (over what?) Thus, you can find some integer $m$ (you can even explicitly find $m$ in terms of $n$) such that:
$${1,tau, tau^2,dots tau^m}$$ are linearly dependent. I think you can continue from here.
$endgroup$
add a comment |
$begingroup$
Hint: $mathcal{L}(V)$ is also a finite dimensional vector space (over what?) Thus, you can find some integer $m$ (you can even explicitly find $m$ in terms of $n$) such that:
$${1,tau, tau^2,dots tau^m}$$ are linearly dependent. I think you can continue from here.
$endgroup$
Hint: $mathcal{L}(V)$ is also a finite dimensional vector space (over what?) Thus, you can find some integer $m$ (you can even explicitly find $m$ in terms of $n$) such that:
$${1,tau, tau^2,dots tau^m}$$ are linearly dependent. I think you can continue from here.
answered 3 hours ago
dezdichadodezdichado
6,3961929
6,3961929
add a comment |
add a comment |
$begingroup$
It's not a function, it's a polynomial. For polynomials, it's easy to understand:
if the polynomial is $f(x) = a_0 + a_1 x + ldots + a_n x^n$, and the operator is $tau$,
then $f(tau) = a_0 I + a_1 tau + ldots + a_n tau^n$.
This works in any algebra over a field $F$, where the polynomial has coefficients in $F$.
$endgroup$
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
add a comment |
$begingroup$
It's not a function, it's a polynomial. For polynomials, it's easy to understand:
if the polynomial is $f(x) = a_0 + a_1 x + ldots + a_n x^n$, and the operator is $tau$,
then $f(tau) = a_0 I + a_1 tau + ldots + a_n tau^n$.
This works in any algebra over a field $F$, where the polynomial has coefficients in $F$.
$endgroup$
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
add a comment |
$begingroup$
It's not a function, it's a polynomial. For polynomials, it's easy to understand:
if the polynomial is $f(x) = a_0 + a_1 x + ldots + a_n x^n$, and the operator is $tau$,
then $f(tau) = a_0 I + a_1 tau + ldots + a_n tau^n$.
This works in any algebra over a field $F$, where the polynomial has coefficients in $F$.
$endgroup$
It's not a function, it's a polynomial. For polynomials, it's easy to understand:
if the polynomial is $f(x) = a_0 + a_1 x + ldots + a_n x^n$, and the operator is $tau$,
then $f(tau) = a_0 I + a_1 tau + ldots + a_n tau^n$.
This works in any algebra over a field $F$, where the polynomial has coefficients in $F$.
answered 3 hours ago
Robert IsraelRobert Israel
321k23210462
321k23210462
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
add a comment |
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
$begingroup$
Note that in this context, the powers of $x$ are evaluated by repeated composition of $tau$ with itself, while the coefficients of the polynomial are treated as scalar multiples of those powers. Finally the terms of the polynomial are added together as one adds linear mappings to get a linear mapping as a result.
$endgroup$
– hardmath
3 hours ago
add a comment |
$begingroup$
Let $p$ be the characterstic Polynomial of $tau$. Then there exist $a_0,a_1,cdots a_{n-1}inmathbb{C}$ such that $det(tau-lambda I)=p(t)=a_0+a_1 t+cdots a_{n-1}t^{n-1}=0$. Plugging $tau$ yeilds
$p(tau)=0$
New contributor
$endgroup$
add a comment |
$begingroup$
Let $p$ be the characterstic Polynomial of $tau$. Then there exist $a_0,a_1,cdots a_{n-1}inmathbb{C}$ such that $det(tau-lambda I)=p(t)=a_0+a_1 t+cdots a_{n-1}t^{n-1}=0$. Plugging $tau$ yeilds
$p(tau)=0$
New contributor
$endgroup$
add a comment |
$begingroup$
Let $p$ be the characterstic Polynomial of $tau$. Then there exist $a_0,a_1,cdots a_{n-1}inmathbb{C}$ such that $det(tau-lambda I)=p(t)=a_0+a_1 t+cdots a_{n-1}t^{n-1}=0$. Plugging $tau$ yeilds
$p(tau)=0$
New contributor
$endgroup$
Let $p$ be the characterstic Polynomial of $tau$. Then there exist $a_0,a_1,cdots a_{n-1}inmathbb{C}$ such that $det(tau-lambda I)=p(t)=a_0+a_1 t+cdots a_{n-1}t^{n-1}=0$. Plugging $tau$ yeilds
$p(tau)=0$
New contributor
New contributor
answered 3 hours ago
John TalosJohn Talos
13
13
New contributor
New contributor
add a comment |
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
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%2f3085322%2fa-function-evaluated-at-a-operator%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
$begingroup$
A polynomial is not a function. :P
$endgroup$
– darij grinberg
2 hours ago