If a polynomial is identically zero, then all its coefficients are 0

In summary: You can get ##a_{n-1}x^{n-1}## as well and then the sum of those two will get you the next coefficient down, etc.
  • #1
Eclair_de_XII
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Homework Statement
Let ##p(x)=a_0+\ldots+a_nx^n## be a polynomial of degree at most ##n##. Prove that if ##p(x)=0##, then all coefficients ##a_i=0##.
Relevant Equations
Induction: Suppose ##S## is a well-ordered set with a least element ##a##. Then ##S## satisfies the induction hypothesis if whenever ##n\in S##, ##n+1\in S##. Note: Did not know how to incorporate this into proof attempt.

Also, the property of real numbers: if for ##a,b\in \mathbb{R}##,whenever ##ab=0##, either ##a=0## or ##b=0##. I invoke this property in the second line of the equation in the second part of this proof attempt.
Suppose

##a_0+a_1x+\ldots+a_nx^n=0##

and restrict the domain of ##p## to the set of real numbers excluding the roots of ##p##. Note that:

if ##a_0 == 0##: ##x=0## is a root of ##p##
else: ##x=0## is not a root of ##p##

Assume the latter. Subtract ##a_0## from both sides of the equation.

##x(a_1+\ldots+a_nx^{n-1})=-a_0##

Set ##x=0## since it is not a root of ##p##, and we have a contradiction: ##0=-a_0\neq 0##. Hence, ##a_0=0##.

%%%

Now we proceed as follows:

\begin{align}
a_0+a_1x+a_2x^2+\ldots+a_nx^n&=&a_1x+a_2x^2+\ldots+a_nx^n\\
&=&x(a_1+a_2x+\ldots+a_nx^{n-1})\\
&=&0
\end{align}

Note that again, ##x=0## is a root of ##p##. Assume ##x\neq 0##. This means:

##a_1+a_2x+\ldots+a_nx^{n-1}=0##

And here we repeat the argument above (the triple percentage signs) for powers of ##x## from ##1## to ##n## until we conclude that ##a_i=0## for all ##i\in\{1,\ldots,n\}##.
 
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  • #2
I think you can simplify and strengthen your proof significantly using only the last part of your proof. What does ##p(x)\equiv 0## say about ##a_0## when ##x=0##? Then what does ##x*(a_1+a_2*x+...+a_n*x^{n-1}) \equiv 0## say when ##x \ne 0##. Then use continuity to look at ##(a_1+a_2*x+...+a_n*x^{n-1}) ## where ##x=0##.

This may really be the same proof that you have, but I think you can state the proof more clearly.
 
  • #3
If ##a_0\neq 0##, then we get a contradiction for ##x=0##. So the polynomial must be of the form ##a_nx^n + \ldots + a_1x##. Since we are working over a field, there are no zero divisors. Therefore, after factoring we conclude ##a_1=0##. Similarly, the rest follows.
 
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  • #4
FactChecker said:
you can state the proof more clearly

Suppose ##p(x)=0##. Then ##a_0+\ldots+a_nx^n=0##. Set ##x=0##. Then ##a_0=0##. Now ##x(a_1+\ldots+a_nx^{n-1})=0##. If ##x\neq 0##, then this means that ##a_1+\ldots+a_nx^{n-1}=0##. Repeat the process for ##a_1## and keep doing this until you reach the conclusion that ##a_n=0##.
 
  • #5
I feel like the last point elides the point a bit. You said that ##a_1+...+a_n x^{n-1}=0## when ##x\neq 0##. You then say to repeat the previous step, which only involved looking at when ##x=0##. How does that work?
 
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  • #6
You should start using the LaTex "\equiv" to get ##\equiv## where appropriate. Also, use continuity to address the issue that @Office_Shredder points out.
 
  • #7
FactChecker said:
use continuity to address the issue that @Office_Shredder points out.

Denote a polynomial ##p(x)=a_0+\ldots+a_nx^n##.

Suppose ##p(x)\equiv 0##. Set ##x=0## such that ##a_0=0##. Hence, ##p(0)=a_0=0##. Now we have ##p(x)=a_1x+\ldots+a_nx^n=x(a_1+\ldots+a_nx^{n-1})##.

Let ##\epsilon>0##.
Set ##M=\max\{|a_i|:i\neq 1\}##
Suppose ##\delta=\min\left\{1,\frac{\epsilon}{M(n-1))}\right\}##.

Then if ##\delta >|x|## where ##x\neq 0##:

\begin{align}
|(a_1+\ldots+a_nx^n)-a_1|&<&|a_2|\delta+\ldots+|a_n|\delta ^{n-1}\\
&\leq&|a_2|\delta+\ldots+|a_n|\delta \\
&\leq&|a_2|\frac{\epsilon}{M(n-1)}+\ldots+|a_n|\frac{\epsilon}{M(n-1)}\\
&\leq&\frac{\epsilon}{n-1}+\ldots+\frac{\epsilon}{n-1}\\
&=&\frac{n-2}{n-1}\epsilon\\
&<&\epsilon
\end{align}

Hence, for ##x\approx 0##, ##a_1+\ldots+a_nx^{n-1}\approx a_1##.

##p(x)=x(a_1+\ldots+a_nx^{n-1})##
##\frac{p(x)}{x}=a_1+\ldots+a_nx^{n-1}##
##\frac{p(x)}{x}\approx a_1##
##\frac{p(x)}{x}\approx \frac{a_0}{x}##
##0=\frac{a_0}{x}\approx a_1##

Frankly, I'm a bit dubious about the relation I wrote in line four.
 
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  • #8
Have you proven that the sums and products of continuous functions are continuous? If so, you can easily state that any polynomial is continuous.
 
  • #9
Not yet, in the book I'm using. I've definitely read a proof of it in real analysis three years ago.

Is there still something off with my attempt at a solution? I mean, I'm pretty sure I could argue that:

##p(x)\approx xa_1##
##p(x)\approx a_0##
##a_0\approx xa_1##

because ##x\approx 0## and not necessarily because ##a_1\approx 0##
 
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  • #10
I decided that it would be better to just show that you cannot express ##x## raised to some power ##k## as a linear combination of other powers of ##x##.

Suppose that you could express ##x^k## as a linear combination of powers of ##x## different from ##k##.

##x^k=\sum_{i\neq k} a_ix^i##

The left-hand side has the single root: ##x=0##.
The right-hand side has possibly many roots, possibly including zero. If the latter holds, then you can factor a power of ##x## (call it ##l##) out of both sides.

##x^{(k-l)}=\sum_{i\neq k} a_ix^{(i-l)}##

If ##l\geq k##, then the left-hand side has no roots, and the right-hand side has roots.
If ##l < k##, then the left-hand side has the single root ##x=0##, and the set of roots of the right-hand side excludes zero.

This is a contradiction.
 
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  • #11
Eclair_de_XII said:
Not yet, in the book I'm using. I've definitely read a proof of it in real analysis three years ago.

Is there still something off with my attempt at a solution?
I'm not sure about all the details. I am sure that something like that could be made to work. It just seems almost easier to prove the general principles about sums and products of continuous functions and to then say that any polynomial is the summation of products of continuous functions, x and ##a_i##.
 
  • #12
A similar approach focusing on the big power instead of evaluating at 0 (which is apparently tricky).

If ##p(x)\equiv 0## then ##p(x)/x^n \equiv 0 ## for ##x\neq 0##. This is ##a_n## plus terms with x in the denominator. If you let x go to infinity you can get ##a_n = 0##. You can then proceed downward from there.

I also agree it's probably easier to just prove that sums and products are continuous than trying to do prove your polynomial is continuous.
 
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  • #13
Office_Shredder said:
A similar approach focusing on the big power instead of evaluating at 0 (which is apparently tricky).

If ##p(x)\equiv 0## then ##p(x)/x^n \equiv 0 ## for ##x\neq 0##. This is ##a_n## plus terms with x in the denominator. If you let x go to infinity you can get ##a_n = 0##. You can then proceed downward from there.
Good idea. That gets my vote. In fact, if you assume that ##a_n## is the first non-zero coefficient, it's a simple proof by contradiction. I don't think that you even have to "proceed downward from there".
 
  • #14
Is the proof attempt in post #10 not correct?
 
  • #15
Eclair_de_XII said:
Is the proof attempt in post #10 not correct?
It certainly does not look like a proof to me. You are stating a lot about the roots of polynomials for which you do not reference a theorem or lemma. I suspect that you are using facts that are not established in your class yet. They may not even be true.
 

1. What is a polynomial?

A polynomial is a mathematical expression consisting of variables and coefficients, combined using addition, subtraction, and multiplication. It can have one or more terms, with each term consisting of a variable raised to a non-negative integer power and multiplied by a coefficient.

2. What does it mean for a polynomial to be identically zero?

A polynomial is identically zero if it evaluates to 0 for all values of its variables. In other words, all the terms in the polynomial cancel out when simplified, resulting in a constant value of 0.

3. How can I determine if a polynomial is identically zero?

To determine if a polynomial is identically zero, you can simplify the expression by combining like terms and then check if the resulting expression is a constant value of 0. You can also use the Remainder Theorem to test if the polynomial has a root of 0.

4. Why does a polynomial have to have all coefficients equal to 0 to be identically zero?

If a polynomial has a non-zero coefficient, it means that there is a term in the expression that cannot be cancelled out. Therefore, the polynomial cannot be identically zero. All coefficients must be 0 in order for all terms to cancel out and result in a constant value of 0.

5. Can a polynomial be identically zero with non-zero coefficients?

No, a polynomial cannot be identically zero with non-zero coefficients. As mentioned before, a non-zero coefficient means that there is a term that cannot be cancelled out, resulting in a non-zero value for the polynomial. In order for a polynomial to be identically zero, all coefficients must be 0.

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