Proving the Exponential Identity for Complex Numbers

In summary, the conversation discusses using the binomial theorem to prove the equation Exp[z1]*Exp[z2]=Exp[z1+z2], but the user is unsure how to apply it. Another user suggests using the properties of exponential and trigonometric functions instead.
  • #1
rbwang1225
118
0

Homework Statement


Let z=x+iy prove that Exp[z1]*Exp[z2]=Exp[z1+z2]


Homework Equations


Binomial thm (x+y)^n=Sum[Bin[n,k]*x^n-k*y^k,{k,1,n}]


The Attempt at a Solution


I have no idea about this question...

Please give me some help.
 
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  • #2
I don't see how the binomial theorem has anything to do with this. I think better would be
[tex]e^{a+ bi}= e^a(cos(b)+ i sin(b))[/tex]
together with [itex]e^{x+y}= e^x e^y[/itex], cos(x+y)= cos(x)cos(y)- sin(x)sin(y), and sin(x+y)= sin(x)cos(y)+ cos(x)sin(y).
 
  • #3
The hint was given by my teacher, but I think he is a little unreliable.
 

FAQ: Proving the Exponential Identity for Complex Numbers

What is the exponential identity?

The exponential identity is an equation that states that any number raised to the power of 0 is equal to 1. This means that for any number a, a0 = 1.

Why is the exponential identity important?

The exponential identity is important because it is a fundamental property of exponents. It allows us to simplify and solve complex exponential equations, and is used in many fields such as mathematics, physics, and engineering.

How is the exponential identity derived?

The exponential identity is derived from the rules of exponents, specifically the rule that states am × an = am+n. When m = n = 0, we get a0 × a0 = a0+0, which simplifies to 1 = 1.

Can the exponential identity be extended to negative exponents?

Yes, the exponential identity can be extended to negative exponents. When m = 0 and n = -1, we get a0 × a-1 = a0-1, which simplifies to 1 = a-1. This means that any number raised to the power of -1 is equal to its reciprocal.

How is the exponential identity used in real life?

The exponential identity is used in a variety of real-life applications, such as compound interest calculations, population growth models, and radioactive decay. It is also used in computer programming and data analysis to model and analyze exponential trends.

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