fundamental theorem of algebra in the complex plane











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My question is about the following lemma (where the Extreme Value Theorem is assumed);



$(1)$Let $f : mathbb{C} → mathbb{C}$ be any polynomial function. Then there exists a point $z_0$ $∈ mathbb{C}$ where the function $|f|$ attains its minimum value in $mathbb{R}$.



$Proof.$ If $f$ is a constant polynomial function, then the statement of the Lemma is trivially
true since $|f|$ attains its minimum value at every point in $mathbb{C}$. So choose, e.g., $(z_0) = 0$.
If $f$ is not constant, then the degree of the polynomial defining $f$ is at least one. In this
case, we can denote $f$ explicitly as in Equation (3.1). That is, we set



$f(z) = a_n$ $z^n + · · · + a_1z + a_0$



with $a_n≠0$. Now, assume $z ≠ 0$, and set $A = max${|$a_0$|, . . . , |$a_{n−1}$|}$.$ We can obtain a lower
bound for $|f(z)|$ as follows:



$|f(z)| = |a_n|$ $|z|^n$ $|1 + ((a_{n-1}/a_n)(1/z))$ $+...+$ $((a_0/a_n) (1/z^n))|$



I'm missing the second part of the inequality because I don't know how to format it, but if anyone would like to do so for me you can find it on page 34 of this link,
https://www.math.ucdavis.edu/~anne/linear_algebra/mat67_course_notes.pdf



My question, however, is about why one can obtain a lower bound like this, why does it work and how does it help us to prove statement $(1)$.



I'd appreciate secondary sources for further reading as well, and for a bonus explain why this relates to linear algebra.










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  • You didnt say what $R$ is.
    – Charlie Frohman
    Nov 18 at 13:24










  • The set of real numbers and C is the set of complex numbers sorry about that.
    – oypus
    Nov 18 at 13:32















up vote
0
down vote

favorite












My question is about the following lemma (where the Extreme Value Theorem is assumed);



$(1)$Let $f : mathbb{C} → mathbb{C}$ be any polynomial function. Then there exists a point $z_0$ $∈ mathbb{C}$ where the function $|f|$ attains its minimum value in $mathbb{R}$.



$Proof.$ If $f$ is a constant polynomial function, then the statement of the Lemma is trivially
true since $|f|$ attains its minimum value at every point in $mathbb{C}$. So choose, e.g., $(z_0) = 0$.
If $f$ is not constant, then the degree of the polynomial defining $f$ is at least one. In this
case, we can denote $f$ explicitly as in Equation (3.1). That is, we set



$f(z) = a_n$ $z^n + · · · + a_1z + a_0$



with $a_n≠0$. Now, assume $z ≠ 0$, and set $A = max${|$a_0$|, . . . , |$a_{n−1}$|}$.$ We can obtain a lower
bound for $|f(z)|$ as follows:



$|f(z)| = |a_n|$ $|z|^n$ $|1 + ((a_{n-1}/a_n)(1/z))$ $+...+$ $((a_0/a_n) (1/z^n))|$



I'm missing the second part of the inequality because I don't know how to format it, but if anyone would like to do so for me you can find it on page 34 of this link,
https://www.math.ucdavis.edu/~anne/linear_algebra/mat67_course_notes.pdf



My question, however, is about why one can obtain a lower bound like this, why does it work and how does it help us to prove statement $(1)$.



I'd appreciate secondary sources for further reading as well, and for a bonus explain why this relates to linear algebra.










share|cite|improve this question
























  • You didnt say what $R$ is.
    – Charlie Frohman
    Nov 18 at 13:24










  • The set of real numbers and C is the set of complex numbers sorry about that.
    – oypus
    Nov 18 at 13:32













up vote
0
down vote

favorite









up vote
0
down vote

favorite











My question is about the following lemma (where the Extreme Value Theorem is assumed);



$(1)$Let $f : mathbb{C} → mathbb{C}$ be any polynomial function. Then there exists a point $z_0$ $∈ mathbb{C}$ where the function $|f|$ attains its minimum value in $mathbb{R}$.



$Proof.$ If $f$ is a constant polynomial function, then the statement of the Lemma is trivially
true since $|f|$ attains its minimum value at every point in $mathbb{C}$. So choose, e.g., $(z_0) = 0$.
If $f$ is not constant, then the degree of the polynomial defining $f$ is at least one. In this
case, we can denote $f$ explicitly as in Equation (3.1). That is, we set



$f(z) = a_n$ $z^n + · · · + a_1z + a_0$



with $a_n≠0$. Now, assume $z ≠ 0$, and set $A = max${|$a_0$|, . . . , |$a_{n−1}$|}$.$ We can obtain a lower
bound for $|f(z)|$ as follows:



$|f(z)| = |a_n|$ $|z|^n$ $|1 + ((a_{n-1}/a_n)(1/z))$ $+...+$ $((a_0/a_n) (1/z^n))|$



I'm missing the second part of the inequality because I don't know how to format it, but if anyone would like to do so for me you can find it on page 34 of this link,
https://www.math.ucdavis.edu/~anne/linear_algebra/mat67_course_notes.pdf



My question, however, is about why one can obtain a lower bound like this, why does it work and how does it help us to prove statement $(1)$.



I'd appreciate secondary sources for further reading as well, and for a bonus explain why this relates to linear algebra.










share|cite|improve this question















My question is about the following lemma (where the Extreme Value Theorem is assumed);



$(1)$Let $f : mathbb{C} → mathbb{C}$ be any polynomial function. Then there exists a point $z_0$ $∈ mathbb{C}$ where the function $|f|$ attains its minimum value in $mathbb{R}$.



$Proof.$ If $f$ is a constant polynomial function, then the statement of the Lemma is trivially
true since $|f|$ attains its minimum value at every point in $mathbb{C}$. So choose, e.g., $(z_0) = 0$.
If $f$ is not constant, then the degree of the polynomial defining $f$ is at least one. In this
case, we can denote $f$ explicitly as in Equation (3.1). That is, we set



$f(z) = a_n$ $z^n + · · · + a_1z + a_0$



with $a_n≠0$. Now, assume $z ≠ 0$, and set $A = max${|$a_0$|, . . . , |$a_{n−1}$|}$.$ We can obtain a lower
bound for $|f(z)|$ as follows:



$|f(z)| = |a_n|$ $|z|^n$ $|1 + ((a_{n-1}/a_n)(1/z))$ $+...+$ $((a_0/a_n) (1/z^n))|$



I'm missing the second part of the inequality because I don't know how to format it, but if anyone would like to do so for me you can find it on page 34 of this link,
https://www.math.ucdavis.edu/~anne/linear_algebra/mat67_course_notes.pdf



My question, however, is about why one can obtain a lower bound like this, why does it work and how does it help us to prove statement $(1)$.



I'd appreciate secondary sources for further reading as well, and for a bonus explain why this relates to linear algebra.







linear-algebra complex-analysis proof-writing upper-lower-bounds






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edited Nov 18 at 13:42









Jimmy

15312




15312










asked Nov 18 at 13:22









oypus

518




518












  • You didnt say what $R$ is.
    – Charlie Frohman
    Nov 18 at 13:24










  • The set of real numbers and C is the set of complex numbers sorry about that.
    – oypus
    Nov 18 at 13:32


















  • You didnt say what $R$ is.
    – Charlie Frohman
    Nov 18 at 13:24










  • The set of real numbers and C is the set of complex numbers sorry about that.
    – oypus
    Nov 18 at 13:32
















You didnt say what $R$ is.
– Charlie Frohman
Nov 18 at 13:24




You didnt say what $R$ is.
– Charlie Frohman
Nov 18 at 13:24












The set of real numbers and C is the set of complex numbers sorry about that.
– oypus
Nov 18 at 13:32




The set of real numbers and C is the set of complex numbers sorry about that.
– oypus
Nov 18 at 13:32










1 Answer
1






active

oldest

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0
down vote













The idea behind the proof is that a continuos function on a compact set is bounded and attains its bounds.



In your case you choose a sufficiently large R such that for $|z|>R$ the terms $|frac{a_i}{z^n}|$ are negligible and therefore the value of $f(z)$ is approximately equal to $a_nR^n$. Moreover, on the compact set $|z| leq R$, p is continuous and therefore bounded below by some M >0 and moreover this is attained. For R large we can ensure $R^n|a_n| > M$ and therefore M will be a global minimum and it will also be attained.






share|cite|improve this answer























  • I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
    – oypus
    Nov 18 at 13:35










  • Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
    – Sorin Tirc
    Nov 18 at 13:49











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The idea behind the proof is that a continuos function on a compact set is bounded and attains its bounds.



In your case you choose a sufficiently large R such that for $|z|>R$ the terms $|frac{a_i}{z^n}|$ are negligible and therefore the value of $f(z)$ is approximately equal to $a_nR^n$. Moreover, on the compact set $|z| leq R$, p is continuous and therefore bounded below by some M >0 and moreover this is attained. For R large we can ensure $R^n|a_n| > M$ and therefore M will be a global minimum and it will also be attained.






share|cite|improve this answer























  • I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
    – oypus
    Nov 18 at 13:35










  • Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
    – Sorin Tirc
    Nov 18 at 13:49















up vote
0
down vote













The idea behind the proof is that a continuos function on a compact set is bounded and attains its bounds.



In your case you choose a sufficiently large R such that for $|z|>R$ the terms $|frac{a_i}{z^n}|$ are negligible and therefore the value of $f(z)$ is approximately equal to $a_nR^n$. Moreover, on the compact set $|z| leq R$, p is continuous and therefore bounded below by some M >0 and moreover this is attained. For R large we can ensure $R^n|a_n| > M$ and therefore M will be a global minimum and it will also be attained.






share|cite|improve this answer























  • I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
    – oypus
    Nov 18 at 13:35










  • Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
    – Sorin Tirc
    Nov 18 at 13:49













up vote
0
down vote










up vote
0
down vote









The idea behind the proof is that a continuos function on a compact set is bounded and attains its bounds.



In your case you choose a sufficiently large R such that for $|z|>R$ the terms $|frac{a_i}{z^n}|$ are negligible and therefore the value of $f(z)$ is approximately equal to $a_nR^n$. Moreover, on the compact set $|z| leq R$, p is continuous and therefore bounded below by some M >0 and moreover this is attained. For R large we can ensure $R^n|a_n| > M$ and therefore M will be a global minimum and it will also be attained.






share|cite|improve this answer














The idea behind the proof is that a continuos function on a compact set is bounded and attains its bounds.



In your case you choose a sufficiently large R such that for $|z|>R$ the terms $|frac{a_i}{z^n}|$ are negligible and therefore the value of $f(z)$ is approximately equal to $a_nR^n$. Moreover, on the compact set $|z| leq R$, p is continuous and therefore bounded below by some M >0 and moreover this is attained. For R large we can ensure $R^n|a_n| > M$ and therefore M will be a global minimum and it will also be attained.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Nov 18 at 13:36

























answered Nov 18 at 13:30









Sorin Tirc

77210




77210












  • I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
    – oypus
    Nov 18 at 13:35










  • Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
    – Sorin Tirc
    Nov 18 at 13:49


















  • I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
    – oypus
    Nov 18 at 13:35










  • Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
    – Sorin Tirc
    Nov 18 at 13:49
















I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
– oypus
Nov 18 at 13:35




I should have given a little more background about myself but long story short I have not been working with higher level mathematical notation for a while so could you give me a 'dumbed down' explanation and or perhaps geometric interpretation of what's going on.
– oypus
Nov 18 at 13:35












Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
– Sorin Tirc
Nov 18 at 13:49




Maybe a simple way to put it is that for large values of |z|, |p(z)| is large. Therefore the least value of p if, it exists, can only be obtained within some closed disk around the origin. And within any closed disk, a minimum is always attained, because p is continuous and, to put it broadely, p(z) is close to p(w) if z is close to w and therefore p cannot be unbounded in the disk, but I am afraid that there is a bit more background needed to fully understand the rigorous justification :( please ask anything you don’t find clear in my explanation and I can try to explain it better
– Sorin Tirc
Nov 18 at 13:49


















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