Real/complex differentiable function

In summary, the function f(z) = Re(z) is not complex-differentiable everywhere because it does not satisfy the Cauchy-Riemann equations fy = ifx. This has been proven using the Cauchy-Riemann condition and the fact that Re(z)y ≠ iRe(z)x. Therefore, f(z) is only ℝ-differentiable everywhere, but not ℂ-differentiable.
  • #1
Maybe_Memorie
353
0

Homework Statement



Is the following function real and complex-differentiable everywhere?

f(z) = Re(z)

Homework Equations



Cauchy-Riemann equations fy = ifx

The Attempt at a Solution



Let z = x + iy, z1 = x - iy

Re(z) can be defined by Re(z) = (z + z1)/2

A function is ℝ-differentiable if
f(z+Δz) - f(z) = fx(z)Δx + fy(z)Δy + Ω(Δz)
and
Ω(Δz)/Δz -> 0 as Δz -> 0.

Δz = Δx + iΔy


So, f(z+Δz) = (z + Δz + (z + Δz)1)/2
= x + Δx

So f(z+Δz) - f(z) = Δx

fx(z)Δx = ∂f/∂x (Δx) = ∂x/∂x (Δx) = (Δx)
fy(z)Δy = 0

f(z+Δz) - f(z) = fx(z)Δx + fy(z)Δx + Ω(Δz)
So Δx = Δx + Ω(Δz)
Thus Ω(Δz) = 0 and evidently 0/Δz -> 0 as Δz -> 0.

So f(z) is ℝ-differentiable everywhere.


I know from a theorem that if f is ℝ-differentiable and satisfies the Cauchy-Riemann equations then it is ℂ-differentiable.


fy = ifx

fy = 0
ifx = i

So f does not satisfy the equations, hence not ℂ-differentiable.


Is this correct?
 
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  • #2
You've shown that Re(z)y ≠ iRe(z)x. The Cauchy-Riemann condition is fy = ifx. What's the logical conclusion? ;o)
 
  • #3
obafgkmrns said:
You've shown that Re(z)y ≠ iRe(z)x. The Cauchy-Riemann condition is fy = ifx. What's the logical conclusion? ;o)

I'm sorry? What do you mean?

f(z) is Re(z).
 
  • #4
His point is that Re(z) does NOT satisfy the Cauchy-Riemann equations.
 
  • #5
So f is not complex differenctiable?
 

What is a real/complex differentiable function?

A real/complex differentiable function is a mathematical function that can be described by a continuous curve and has a defined slope at every point on that curve. This means that the function can be smoothly drawn without any sharp edges or breaks, and the slope or rate of change can be calculated at any point on the curve.

What is the difference between a real and complex differentiable function?

The main difference between real and complex differentiable functions is the type of input and output they have. A real differentiable function takes real numbers as input and gives real numbers as output, while a complex differentiable function takes complex numbers as input and gives complex numbers as output. Additionally, the rules for differentiating a complex function are more complex than those for a real function, pun intended.

How do you determine if a function is real/complex differentiable?

A function is real/complex differentiable if it satisfies the conditions of the Cauchy-Riemann equations. These equations state that the partial derivatives of the real and imaginary components of a complex function must exist and be continuous at a given point for the function to be complex differentiable. For a real function, the derivative must exist and be continuous at a given point for the function to be real differentiable.

What is the geometric interpretation of a real/complex differentiable function?

The geometric interpretation of a real/complex differentiable function is that it represents a smooth and continuous curve on a graph. The derivative of the function at any given point represents the slope of the tangent line to the curve at that point. This allows us to understand the rate of change of the function at that point and make predictions about its behavior.

Why are real/complex differentiable functions important in mathematics and science?

Real/complex differentiable functions play a crucial role in many areas of mathematics and science. They are used to model and analyze various physical phenomena and to solve complex problems in areas such as physics, engineering, and economics. They also have applications in computer science, signal processing, and image processing. In addition, real/complex differentiable functions are essential in calculus, which is the foundation for many mathematical theories and practical applications.

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