Order of zero (complex analysis)

In summary, the order of a zero of a function is defined as the number of times the function can be continuously differentiated at that zero before reaching a non-zero value. For polynomials, the multiplicity of a repeated root is the same as the order of the zero at that root. This can be shown using the derivative test, where the mth derivative will have one term where the (z-z0) has been reduced to a constant times (z-z1)^n. Additionally, for functions that are products of other functions, the order of a zero at a point is equal to the sum of the orders of the zeros of its factors at that point. This can be seen directly from the theorem stating that a function with a zero
  • #1
Incand
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I'm confused about how this related to the roots of an equation. Here's the definition:

We say that ##f## has a zero of order ##m## at ##z_0## if
##f^{(k)}(z_0)=0## for ##k=0,\dots , m-1##, but ##f^{(m)}(z_0)\ne 0##
or equivalently that
##f(z) = \sum_{k=m}^\infty a_k(z-z_0)^k##, ##a_m \ne 0##.

For example the function ##(z^2+z-2)^3## has zeros of order ##3## for ##z=2## and ##z=-1## which is the multiple of the roots so the easiest way to determine the order seems to just note this instead of differentiating ##4## times.

However for a function like ##z^2(1-\cos z)## this doesn't work anymore. If you differentiate this you actually find a zero of order ##4## at ##z=0## and zeros of order ##2## at ##z = 2\pi n, \; = \pm 1, \pm 2, \dots## which isn't what I would expect just looking for roots to the equation.

So when determining the order of a zero is the approach always to differentiate? Since for simple functions like polynomials they seem to be the same as the roots.
 
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  • #2
I take it you mean for your example:
##f(z) = (z^2 + z -2) ^ 3## has zeros at ## z=-2, 1##.
For polynomials, you are correct that the multiplicity of the repeated roots is the same as the order of the zero at those roots.
Example:
##p(z)=(z-z_0)^m (z-z_1)^n ## has a root of multiplicity m at ## z=z_0## and a root of multiplicity n at ## z = z_1##.

If you look at the derivatives up to the (m-1)th, you will notice that all the terms will include at least one power of ##(z-z_0)##.
However, the mth derivative will have one term where the ##(z-z_0)## has been reduced to a constant times ##(z-z_1)^n ##.
Assuming that ##z_0 \neq z_1##, this means that the order of the zero at ##z=z_0## is m.

Therefore, you can show, in general, for all polynomials that the multiplicity of a root is the same as the order of the zero at that root.If you differentiate your example, you get:
## f^1(z) = 3(z^2 + z -2)^2 (2z + 1) ## which as zeros at ## z=-2, 1## and also ##z=-1/2##.
And again,
## f^2(z) = 6(z^2 + z -2) (2z + 1)^2 + 6(z^2 + z -2)^2## which as zeros at ## z=-2, 1## and not ##z=-1/2##.
Once more:
## f^3(z) = 6 (2z + 1)^3+24(z^2 + z -2) (2z + 1) + 12(z^2 + z -2)(2z+1)## has a zero at ##z=-1/2## and not ## z=-2, 1##
So, using the derivative test, you confirm that -2 and 1 are zeros of order 3.
 
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  • #3
Thanks! Writing it that way make it pretty obvious for polynomials.

From your example (and my second one) it also seems we have a product rule, that is if ##f(z) = g(z)h(z)## and ##g(z)## has a zero at ##a_0## of order ##n## and ##h(z)## have a zero of order ##m## at ##a_0## then ##f(z)## have a zero of order ##n+m## at ##a_0##.

This seem to follow from Leibniz rule , ##f^{(n+m-1)}=(gh)^{(n+m-1)} = \sum_{k=0}^{n+m-1} \binom{n+m-1}{k} g^{(k)}h^{(n+m-1-k)}## , since ##g^{(k)}= 0## for all ##k < n## while ##h^{(n+m-k)}=0## for ##n\le k \le (n+m-1)## hence every term is zero. Similar applies for every higher derivative in between ##0## and ##(n+m-1)##.
While for the next order ##(n+m)## we have the only non-zero term ##f^{(n)}g^{(m)}## left.
 
  • #4
Never mind second half of my post, apparently there's a really obvious way to see this directly.
From the theorem stating that:
If ##f## has a zero of order ##m## at ##z_0##, then ##f(z) = (z-z_0)^mg(z)##, where ##g## is analytic in ##D## and ##g(z_0) \ne 0##. This makes it really obvious when multiplying two functions, and also the polynomial part.

Anyway thanks again for the explanation, I believe I understand the order of zeros now!
 
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Related to Order of zero (complex analysis)

1. What is the order of a zero in complex analysis?

The order of a zero in complex analysis refers to the multiplicity of a root of a complex function. It indicates the number of times the function approaches zero near that particular point.

2. How is the order of a zero determined?

The order of a zero can be determined by taking the derivative of the function and evaluating it at the point where the zero occurs. The order is equal to the number of times the derivative is also equal to zero at that point.

3. What is the difference between a simple zero and a multiple zero?

A simple zero has an order of one, meaning the function approaches zero at a point with a slope of exactly one. A multiple zero has an order greater than one, meaning the function approaches zero with a steeper slope at that point.

4. Can a function have more than one zero of the same order?

Yes, a function can have multiple zeros of the same order. For example, a quadratic function can have two zeros of order two, or a cubic function can have three zeros of order three.

5. How does the order of a zero affect the behavior of a complex function?

The order of a zero can affect the behavior of a complex function near that point. A higher order zero will cause the function to approach zero more steeply, while a lower order zero will cause the function to approach zero more gradually.

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