Suppose that F: Rn -> Rn is continuously differentiable everywhere

In summary, we discussed the concept of isolated singularities and how it relates to a continuously differentiable function. We also examined two examples, one where a function has exactly two isolated singularities and another where there are no isolated singularities. Finally, we gave an explicit example of a continuously differentiable function with an isolated singularity at the origin.
  • #1
matthewturner
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Please help me with this. I don't know even how to start

Definition: Suppose that F: Rn Rn is continuously differentiable everywhere. A point P∈R^n is called an isolated singularity of F if DF_p is not invertible but DF_y is invertible for all Y≠P in some neighborhood of P.

a. Let f: R -> R by f(x) = 3 x^4 - 20 x^3. Prove that f has exactly two points which are isolated singularities. Describe what happens at each point.

b. Let f denote the transformation that takes rectangular coordinates into polar coordinates. Does f have any isolated singularities? If so, identify them and explain what happens at each point?

c. Write down explicitly a continuously differentiable function F : R2 -> R2 that has an isolated singularity at the origin and no other singularity.
 
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  • #2
a. The function f(x) = 3 x^4 - 20 x^3 has two points which are isolated singularities. At the point x = 0, the derivative is 0 and therefore DF_0 is not invertible. However, for any other point Y ≠ 0, the derivative is non-zero and therefore DF_y is invertible. The second point of isolated singularity is at x = 5/2, where the derivative is zero and DF_5/2 is not invertible. b. The transformation f that takes rectangular coordinates into polar coordinates does not have any isolated singularities. This is because at every point (x, y) in the rectangular coordinates, the Jacobian matrix of f is always invertible. c. An example of a continuously differentiable function F : R2 -> R2 that has an isolated singularity at the origin is given by F(x, y) = (x^2 + y^2, x y). At the origin (0, 0), the derivative is (0, 0) and therefore DF_0 is not invertible. However, at any other point (x, y) ≠ (0, 0), the derivative is non-zero and therefore DF_x is invertible.
 

Related to Suppose that F: Rn -> Rn is continuously differentiable everywhere

1. What does it mean for a function to be continuously differentiable?

Continuously differentiable means that a function has a derivative at every point in its domain, and that derivative is itself a continuous function. In other words, the function's rate of change is defined and smooth at every point.

2. What is the significance of F being continuously differentiable everywhere?

If a function is continuously differentiable everywhere, it means that the function is well-behaved and has no abrupt changes or breaks in its rate of change. This makes it easier to analyze and work with mathematically.

3. How is continuously differentiable related to differentiability?

Continuous differentiability is a stronger condition than differentiability. A differentiable function only needs to have a derivative at a point, whereas a continuously differentiable function needs to have a derivative at every point and for that derivative to be continuous.

4. Can a function be continuously differentiable but not differentiable?

No, a function cannot be continuously differentiable without also being differentiable. The conditions for continuous differentiability include the conditions for differentiability.

5. How does continuously differentiable relate to the smoothness of a function?

Continuously differentiable functions are considered to be smooth, as they have no abrupt changes or breaks in their rate of change. However, there are different levels of smoothness, such as functions being twice or infinitely differentiable, which require additional conditions beyond continuous differentiability.

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