MVT question + fixed points

In summary, the Mean Value Theorem (MVT) is a fundamental theorem in calculus that states that for a differentiable function on a closed interval, there exists at least one point where the slope of the tangent line is equal to the average rate of change of the function over that interval. It can be used to find fixed points by setting the average rate of change to zero and solving for the point where the slope of the tangent line is also zero. Fixed points are important in calculus as they represent points where the function does not change. The MVT can be applied to any continuous and differentiable function on a closed interval, but it may not always have a fixed point. It is closely related to the first derivative test, as both
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Homework Statement



Consider the function g: [0,∞) -> R defined by G(x)=x+e-2x

A. Use the mean value theorem to prove that |g(x2)-g(x1)|<|x2-x1| for all x1,x2 E [0,∞) with x1≠x2.

B. Find all fixed points of g on [0,∞).

Homework Equations



MVT: f'(c) = f(b)-f(a)/b-a.

The Attempt at a Solution



It seems we are being asked to prove in part A. that |g(x2)-g(x1)|/|x2-x1|<1.

This should be proved if we show that g'(x)<1 for x E [0,∞).

g'(x) = 1-2e-2x. By inspection g'(x) is clearly less than 1 for x values between 0 and ∞.

Is this sufficient an explanation? M.V.T. states that the gradient of a function must, at at least one point (c,f(c)) between the points (a,f(a)) and (b,f(b)), equal the slope over the whole region [a,b] (as the equation shows). My method is essentially the same but replaces the 'rise over run' bit of the MVT simply with f'(x).

Am I on the right track, is there a better way to explain this, perhaps more directly involving MVT...? Thanks

have not yet tackled question B but any hints would be appreciated
 
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Your explanation for part A using the MVT is correct. By showing that g'(x) is always less than 1 for all x in [0,∞), you have proven that the slope of the function is always less than the slope of the secant line connecting any two points on the function. This means that the function is always "flatter" than the secant line, which is why the absolute value of the difference between the function values is always less than the absolute value of the difference between the x values.

As for part B, a fixed point of a function is a value of x that, when plugged into the function, gives the same value back. In other words, g(x) = x. So to find the fixed points of g on [0,∞), you need to solve the equation x+e^-2x = x for x. This can be done algebraically by subtracting x from both sides and isolating the exponential term, or graphically by plotting the two functions y=x and y=x+e^-2x and finding their intersection points.

I hope this helps. Keep up the good work in your scientific studies!
 

1. What is the Mean Value Theorem (MVT)?

The Mean Value Theorem (MVT) is a fundamental theorem in calculus that states that for a differentiable function on a closed interval, there exists at least one point in the interval where the slope of the tangent line is equal to the average rate of change of the function over that interval.

2. How is the MVT used to find fixed points?

The MVT is used to find fixed points by setting the average rate of change to zero and solving for the point where the slope of the tangent line is also zero. This point is the fixed point of the function.

3. What is the significance of fixed points in calculus?

Fixed points are important in calculus because they represent points where the function does not change. In other words, the output of the function at a fixed point is equal to the input, making it a critical point of the function.

4. Can the MVT be applied to any type of function?

Yes, the MVT can be applied to any continuous and differentiable function on a closed interval. However, some functions may not have a fixed point, in which case the MVT cannot be used to find one.

5. How is the MVT related to the first derivative test?

The MVT is closely related to the first derivative test in calculus. The MVT states that the derivative of a function must be zero at a fixed point, while the first derivative test uses the sign of the derivative to determine if a point is a local maximum or minimum. Both methods utilize the derivative to analyze critical points of a function.

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