Master Complex Analysis: Homework Statement, Equations, and Solutions

In summary, the conversation is discussing how to show that the coefficients of two polynomials are unique. The method of using induction is considered, but it is determined to be not applicable. The idea of comparing coefficients is also discussed, but it is deemed too close to begging the question. Instead, it is suggested to use the factor theorem to show that the degree of the difference polynomial is less than or equal to the sum of the degrees of the two original polynomials.
  • #1
Ted123
446
0

Homework Statement



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Homework Equations





The Attempt at a Solution



How do I go about Q1 and showing the coefficients are unique and then Q2?
 
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  • #2
What is your attempt at the solution?
 
  • #3
micromass said:
What is your attempt at the solution?

I was trying some sort of induction argument.

[itex]P(0)=Q(0) \implies a_0 = b_0[/itex] so the result is true for [itex]z=0[/itex]

Now suppose for induction that [itex]P(k)=Q(k)[/itex] ...
 
  • #4
OK, so now take the derivative of the polynomials, and compare [tex]P^\prime(0)[/tex] with [tex]Q^\prime(0)[/tex].
 
  • #5
micromass said:
OK, so now take the derivative of the polynomials, and compare [tex]P^\prime(0)[/tex] with [tex]Q^\prime(0)[/tex].

Bearing in mind z is complex does normal differentiation still hold?

[itex]P'(0)=Q'(0) \implies a_1=b_1[/itex]
 
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  • #6
Scrap that method.

Could I say without loss of generality that [itex]n \geq m[/itex] .

Then if [itex]P(z)=Q(z)[/itex] then [itex]P(z)-Q(z)=0[/itex]

So collecting up like terms we see that

[itex]P(z) - Q(z) = (a_0 - b_0) + (a_1 - b_1)z + (a_2 - b_2)z^2 + ... + (a_m - b_m)z^m + a_{m+1}z^{m+1} + ... + a_nz^n[/itex]

This implies that [itex]a_j=b_j[/itex] for all [itex] 0 \leq j \leq m[/itex] (by equating coefficients).

So The first [itex]m[/itex] terms are all 0.

So we have [itex]a_{m+1}z^{m+1} + ... + a_nz^n=0[/itex] .

Can you help me finish?
 
  • #7
On the other hand saying you can compare coefficients here might be a bit close to begging the question.

Instead, if [itex]P(z) = Q(z)[/itex] for all z and [itex]F(z) = P(z)-Q(z)[/itex], then [itex]1, 2, 3, ..., m+n+1[/itex] are all roots of [itex]F(z)[/itex], and so [itex](z-1)(z-2)...(z-(m+n+1))[/itex] divides [itex]F(z)[/itex] (factor theorem). Then what does this implies about the degree of F?
 

1. What is complex analysis?

Complex analysis is a branch of mathematics that deals with functions of a complex variable. It involves the study of complex numbers, which are numbers that contain both real and imaginary parts. Complex analysis is used in various fields such as physics, engineering, and computer science.

2. What is the homework statement in complex analysis?

The homework statement in complex analysis typically involves solving problems related to complex functions, such as finding roots, evaluating integrals, and determining the behavior of functions at certain points. It may also involve proving theorems and applying them to various scenarios.

3. What types of equations are commonly encountered in complex analysis?

In complex analysis, equations involving complex numbers are commonly encountered, such as polynomials, rational functions, and exponential and trigonometric functions. These equations may also involve complex variables and parameters, and they can be solved using techniques such as integration, differentiation, and power series expansions.

4. How are solutions to complex analysis problems typically presented?

Solutions to complex analysis problems are typically presented in the form of equations or mathematical expressions. These solutions may also include explanations and justifications for the steps taken to arrive at the final answer. Graphs or diagrams may also be used to illustrate the behavior of complex functions.

5. What are some common applications of complex analysis?

Complex analysis has various applications in different fields. In physics, it is used to study electromagnetism and fluid dynamics. In engineering, it is used to analyze electrical circuits and signal processing. In computer science, it is used in the development of algorithms and data compression techniques. It is also used in finance and economics to model complex systems and make predictions.

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