Multivariable calculus/analysis problem

In summary, the conversation discusses a problem involving a C^1 function from \mathbb{R}^n \rightarrow \mathbb{R}^n, where df is invertible except at isolated points. The participants mention various approaches to solving the problem, including the inverse function theorem and the Jordan curve theorem. There is also a discussion about finding a counterexample in the two-dimensional case. The conversation ends with one participant presenting a potential solution using the Jordan curve theorem.
  • #1
tim_lou
682
1
Hi guys... Haven't been in the forum for a couple years now.
I have an old analysis problem that I never manage to solve. Would be nice if someone can shed some light on this.let [tex]f[/tex] be a [tex]C^1[/tex] function from [tex]\mathbb{R}^n \rightarrow \mathbb{R}^n[/tex], [tex]n>1[/tex]. [tex]df[/tex] is invertible except at isolated points (WLOG assume only at 0), prove that [tex]f[/tex] is locally injective, i.e. there is a neighborhood around each point in the domain such that [tex]f[/tex] is injective.

thoughts about this problem: contraction principle doesn't work at all, since df gets really small around 0. The theorem is false when n=1 (like y=x^2), this makes me think the problem should involve some (if not mostly) topology of R^n

I asked my topology professor but he said he can't think of a solution right away, he told me to consider the eigenvectors of the derivative... would be nice if anyone can put this problem to "sleep" once and for all.
 
Last edited:
Physics news on Phys.org
  • #2
Well, the inverse function theorem implies that f is locally bijective everywhere except perhaps at 0. You must prove that f is injective at 0 also?
 
  • #3
yes, precisely what the problem is about... i think it may be best to look at special cases like [tex]\mathbb{R}^2[/tex] first.
 
  • #4
Is it true for f(x,y)=x²+y² (the 2-dimensinal version of y=x²)??
 
  • #5
i think you forgot that f has to be a function from [tex]\mathbb{R}^n[/tex] to [tex]\mathbb{R}^n[/tex] :wink:
 
  • #6
In case anyone is still interested in this problem...in the 2D case, i can show (i think) that there exists a neighborhood U of 0, such that f is injective on U-{0} using Jordon curve theorem. However, I cannot proceed any further.

I don't know if my reasoning is 100% correct. Generally, I first pick a [tex]U[/tex] around 0, small enough such that [tex]|df|[/tex] is bounded by some upper bound. [tex]f(U)[/tex] is bounded, by uniform continuity. I suppose [tex]x,y\neq 0[/tex] and [tex]f(x)=f(y)[/tex], take a path from [tex]x[/tex] to [tex]y[/tex], call it [tex]g:I\rightarrow \mathbb{R}^2[/tex], with non-vanishing derivative. it's image under [tex]f[/tex] will be a loop, call it [tex]h[/tex]. if the loop is self-intersecting, we can cut out the self-intersecting part (the pre-image will become line segments, but that is fine). This cutting process must end because we can cover the image of [tex]g[/tex] by finitely many balls under which [tex]f[/tex] is a homeomorphism by inverse function theorem and compactness, so that the length of each sub-loop (the self-intersecting part) must have a non-zero lower bound. the resulting loop is piecewise [tex]C^1[/tex] and has non-vanishing derivative (when it exists) since [tex]dh=df\cdot dg[/tex]. Then [tex]f(U-\{\textrm{finitely many line segments}\})=f(U)-\{\textrm{the modified loop}\}[/tex] has at least two components by Jordan curve theorem, yet [tex]U-\{\textrm{finitely many line segments}\}[/tex] is path connected, a contradiction.
 
Last edited:

FAQ: Multivariable calculus/analysis problem

What is multivariable calculus/analysis?

Multivariable calculus/analysis is a branch of mathematics that deals with functions of multiple variables. It involves the study of limits, derivatives, integrals, and series of functions of several variables.

What are the applications of multivariable calculus/analysis?

Multivariable calculus/analysis has various applications in fields such as physics, engineering, economics, and computer science. It is used to model and solve real-world problems involving multiple variables and complex systems.

What are the key concepts in multivariable calculus/analysis?

The key concepts in multivariable calculus/analysis include partial derivatives, multiple integrals, vector calculus, and optimization. These concepts are used to analyze and understand the behavior of functions of multiple variables.

What are some common techniques for solving multivariable calculus/analysis problems?

Some common techniques for solving multivariable calculus/analysis problems include using the chain rule, product rule, and quotient rule for derivatives, as well as substitution and integration by parts for integrals. Vector calculus techniques such as gradient, divergence, and curl are also commonly used.

How can I improve my understanding of multivariable calculus/analysis?

To improve your understanding of multivariable calculus/analysis, it is important to practice solving problems and applying the concepts to real-world scenarios. It can also be helpful to seek out additional resources, such as textbooks, online tutorials, and practice exercises. Collaborating with other students or seeking help from a tutor can also aid in understanding difficult concepts.

Similar threads

Back
Top