Is g Continuous if g^-1(O) is Open for All Open Sets O?

In summary: So the pre-image of any open set is open.Now suppose g^-1(O) is open for each open set O in R. This means that for each x in R, there is a neighborhood V centered at x such that V is a subset of g^-1(N) for some neighborhood N of g(x). In other words, g(x) is in N whenever x is in V. So g is continuous at x.
  • #1
kathrynag
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Homework Statement



Let g be defined on all of R. If A is a subset of R, define the set g^-1(A) by
g^-1(A)={x in R : g(x) in A}.
Show that g is continuous iff g^-1(O) is open whenever O contained in R is an open set.


Homework Equations





The Attempt at a Solution



well g^-1(O) means g(O) is in A.
Let g be continuous and O be an open subset of R.
Then |x-c|<delta and |g(x)-g(c)|<epsilon

Now I get stuck
 
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  • #2
A good start would be to state the definition of continuity you are using.
 
  • #3
A function f:A--->R is continuous at a point c in A if, for all epsilon epsilon>0, there exists a delta>0 such that whenever |x-c|<delta, it follows that |f(x)-f(c)|<epsilon.
 
  • #4
Just appeal to the definitions.

First suppose g^-1(O) is open for each open subset O of R. Fix a real number x, and let epsilon be given. The neighborhood N centered at g(x) with radius epsilon is an open set, so the inverse image of N under g is an open set containing x. Thus there is a neighborhood V of x with radius delta such that V is a subset of g^-1(N); you should be able to finish up the forward direction from here.

The reverse implication plays out similarly. If g is continuous at x, then there exists a delta such that whenever y is less than delta apart from x, g(y) is in a neighborhood of g(x) with radius epsilon. You can fill in the details, but this pretty much shows that the inverse image of this epsilon-neighborhood is open. Since the inverse image of any open set is the union of the inverse images of the neighborhoods whose union is that open set, it follows that the inverse image under g of any open set is itself open.
 
  • #5
I don't follow this part:
You can fill in the details, but this pretty much shows that the inverse image of this epsilon-neighborhood is open. Since the inverse image of any open set is the union of the inverse images of the neighborhoods whose union is that open set, it follows that the inverse image under g of any open set is itself open.
 
  • #6
Suppose g is continuous, and O is an open set in R. Suppose x is in the pre-image of O under g; that is, g(x) is in O. Then there is a neighborhood N centered at g(x) with radius epsilon such that N is a subset of O. Since g is continuous at x, there is a positive number delta such that g(y) is in N (hence in O) just as soon as the distance between x and y is less than delta. In other words, there is a neighborhood V centered at x with radius delta which is a subset of the pre-image of O under g.
 

FAQ: Is g Continuous if g^-1(O) is Open for All Open Sets O?

What is a continuity proof in analysis?

A continuity proof in analysis is a mathematical proof that shows a function is continuous at a specific point or over a certain interval. It demonstrates that the function's output values change smoothly with small changes in the input values.

Why is continuity important in analysis?

Continuity is important in analysis because it allows us to make predictions and draw conclusions about a function's behavior. It also enables us to solve problems and model real-world phenomena using mathematical functions.

What are the three main types of continuity?

The three main types of continuity are pointwise continuity, uniform continuity, and local continuity. Pointwise continuity means that a function is continuous at each individual point. Uniform continuity means that the function is continuous over a whole interval. Local continuity means that the function is continuous at a specific point and the surrounding points.

What is the difference between continuity and differentiability?

Continuity and differentiability are related concepts, but they are not the same. A function is continuous if it has no jumps or breaks in its graph. Differentiability, on the other hand, means that a function has a defined derivative at a given point. A function can be continuous without being differentiable, but if a function is differentiable, it must also be continuous.

What are the common techniques used in continuity proofs?

There are several common techniques used in continuity proofs, including the epsilon-delta method, the intermediate value theorem, and the limit definition of continuity. Other techniques may include using the properties of continuous functions, such as the sum, difference, product, and composition rules, to prove continuity.

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