Continuous Function In R N \mathbb{R}^{n} R N Implies Integrability And Subtraction Rule

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Introduction

In the realm of multivariable calculus, the concept of continuous functions plays a pivotal role in understanding various mathematical phenomena. One of the fundamental properties of continuous functions is their integrability over bounded sets. In this article, we will delve into the relationship between continuous functions in Rn\mathbb{R}^{n} and their integrability, as well as explore the implications of the subtraction rule.

Definition of Integrability

Before we proceed, let's establish a clear understanding of the concept of integrability. According to Definition 1, a function ff is said to be integrable over a bounded set AA if ff is zero outside AA and can be constructed a closed rectangle BB such that:

f(x)=0 for xA and f(x)=1vol(B)Bf(y)dy for xAf(x) = 0 \text{ for } x \notin A \text{ and } f(x) = \frac{1}{\text{vol}(B)} \int_{B} f(y) dy \text{ for } x \in A

where vol(B)\text{vol}(B) denotes the volume of the rectangle BB.

Continuous Functions in Rn\mathbb{R}^{n}

A function f:RnRf: \mathbb{R}^{n} \to \mathbb{R} is said to be continuous at a point xRnx \in \mathbb{R}^{n} if for every ϵ>0\epsilon > 0, there exists a δ>0\delta > 0 such that:

f(x)f(y)<ϵ whenever xy<δ|f(x) - f(y)| < \epsilon \text{ whenever } |x - y| < \delta

In other words, a function is continuous if it can be approximated by its value at a nearby point.

Continuous Implies Integrable

One of the fundamental properties of continuous functions is their integrability over bounded sets. In fact, we can prove that a continuous function is integrable over any bounded set.

Theorem 1

Let f:RnRf: \mathbb{R}^{n} \to \mathbb{R} be a continuous function and AA be a bounded set. Then, ff is integrable over AA.

Proof

Let AA be a bounded set and ff be a continuous function. We need to show that ff is integrable over AA. By Definition 1, we need to construct a closed rectangle BB such that:

f(x)=0 for xA and f(x)=1vol(B)Bf(y)dy for xAf(x) = 0 \text{ for } x \notin A \text{ and } f(x) = \frac{1}{\text{vol}(B)} \int_{B} f(y) dy \text{ for } x \in A

Since ff is continuous, we can find a δ>0\delta > 0 such that:

f(x)f(y)<ϵ whenever xy<δ|f(x) - f(y)| < \epsilon \text{ whenever } |x - y| < \delta

Let BB be a closed rectangle such that ABA \subset B and vol(B)<δ\text{vol}(B) < \delta. Then, we have:

f(x)=0 for xA and f(x)=1vol(B)Bf(ydy for xAf(x) = 0 \text{ for } x \notin A \text{ and } f(x) = \frac{1}{\text{vol}(B)} \int_{B} f(y dy \text{ for } x \in A

This shows that ff is integrable over AA.

Subtraction Rule

The subtraction rule states that if ff and gg are integrable functions over a bounded set AA, then fgf - g is also integrable over AA.

Theorem 2

Let ff and gg be integrable functions over a bounded set AA. Then, fgf - g is integrable over AA.

Proof

Let ff and gg be integrable functions over a bounded set AA. We need to show that fgf - g is integrable over AA. By Definition 1, we need to construct a closed rectangle BB such that:

(fg)(x)=0 for xA and (fg)(x)=1vol(B)B(fg)(y)dy for xA(f - g)(x) = 0 \text{ for } x \notin A \text{ and } (f - g)(x) = \frac{1}{\text{vol}(B)} \int_{B} (f - g)(y) dy \text{ for } x \in A

Since ff and gg are integrable, we can find closed rectangles B1B_{1} and B2B_{2} such that:

f(x)=0 for xB1 and f(x)=1vol(B1)B1f(y)dy for xB1f(x) = 0 \text{ for } x \notin B_{1} \text{ and } f(x) = \frac{1}{\text{vol}(B_{1})} \int_{B_{1}} f(y) dy \text{ for } x \in B_{1}

g(x)=0 for xB2 and g(x)=1vol(B2)B2g(y)dy for xB2g(x) = 0 \text{ for } x \notin B_{2} \text{ and } g(x) = \frac{1}{\text{vol}(B_{2})} \int_{B_{2}} g(y) dy \text{ for } x \in B_{2}

Let B=B1B2B = B_{1} \cap B_{2}. Then, we have:

(fg)(x)=0 for xB and (fg)(x)=1vol(B)B(fg)(y)dy for xB(f - g)(x) = 0 \text{ for } x \notin B \text{ and } (f - g)(x) = \frac{1}{\text{vol}(B)} \int_{B} (f - g)(y) dy \text{ for } x \in B

This shows that fgf - g is integrable over AA.

Conclusion

In conclusion, we have shown that a continuous function in Rn\mathbb{R}^{n} implies integrability and the subtraction rule. These results have far-reaching implications in multivariable calculus and are essential in understanding various mathematical phenomena.

References

  • [1] Rudin, W. (1976). Principles of Mathematical Analysis. McGraw-Hill.
  • [2] Spivak, M. (1965). Calculus on Manifolds. Benjamin.

Further Reading

For further reading on this topic, we recommend the following resources:

  • [1] Apostol, T. M. (1974). Mathematical Analysis. Addison-Wesley.
  • [2] Bartle, R. G. (1976). The Elements of Integration. Wiley.

Introduction

In our previous article, we explored the relationship between continuous functions in Rn\mathbb{R}^{n} and their integrability, as well as the implications of the subtraction rule. In this article, we will address some of the most frequently asked questions related to this topic.

Q: What is the definition of a continuous function in Rn\mathbb{R}^{n}?

A: A function f:RnRf: \mathbb{R}^{n} \to \mathbb{R} is said to be continuous at a point xRnx \in \mathbb{R}^{n} if for every ϵ>0\epsilon > 0, there exists a δ>0\delta > 0 such that:

f(x)f(y)<ϵ whenever xy<δ|f(x) - f(y)| < \epsilon \text{ whenever } |x - y| < \delta

Q: What is the relationship between continuous functions and integrability?

A: A continuous function in Rn\mathbb{R}^{n} implies integrability over any bounded set. In other words, if a function is continuous, it can be integrated over any bounded set.

Q: What is the subtraction rule?

A: The subtraction rule states that if ff and gg are integrable functions over a bounded set AA, then fgf - g is also integrable over AA.

Q: How do I prove that a function is continuous?

A: To prove that a function is continuous, you need to show that for every ϵ>0\epsilon > 0, there exists a δ>0\delta > 0 such that:

f(x)f(y)<ϵ whenever xy<δ|f(x) - f(y)| < \epsilon \text{ whenever } |x - y| < \delta

Q: What are some common examples of continuous functions?

A: Some common examples of continuous functions include:

  • Polynomials
  • Rational functions
  • Trigonometric functions
  • Exponential functions

Q: What are some common examples of non-continuous functions?

A: Some common examples of non-continuous functions include:

  • Step functions
  • Discontinuous functions
  • Functions with infinite discontinuities

Q: How do I apply the subtraction rule?

A: To apply the subtraction rule, you need to show that if ff and gg are integrable functions over a bounded set AA, then fgf - g is also integrable over AA. This can be done by constructing a closed rectangle BB such that:

(fg)(x)=0 for xB and (fg)(x)=1vol(B)B(fg)(y)dy for xB(f - g)(x) = 0 \text{ for } x \notin B \text{ and } (f - g)(x) = \frac{1}{\text{vol}(B)} \int_{B} (f - g)(y) dy \text{ for } x \in B

Q: What are some common applications of continuous functions and integrability?

A: Some common applications of continuous functions and integrability include:

  • Calculus
  • Analysis
  • Physics
  • Engineering

Conclusion

In conclusion, we have addressed some of the most frequently asked questions to continuous functions in Rn\mathbb{R}^{n} and their integrability, as well as the implications of the subtraction rule. We hope that this article has provided valuable insights and information for readers.

References

  • [1] Rudin, W. (1976). Principles of Mathematical Analysis. McGraw-Hill.
  • [2] Spivak, M. (1965). Calculus on Manifolds. Benjamin.

Further Reading

For further reading on this topic, we recommend the following resources:

  • [1] Apostol, T. M. (1974). Mathematical Analysis. Addison-Wesley.
  • [2] Bartle, R. G. (1976). The Elements of Integration. Wiley.