Theorems of Continuity for Functions
Theorems of continuity rely heavily on what you already know about limits. For a review on limits see Limits and Finding Limits. This first theorem follows directly from the definition of continuity and the properties of limits.
Theorem: Properties of Continuous Functions
Suppose and are functions which are continuous at . Then the following are true:
Suppose
and .
Where is continuous?
Answer:
Remember that the absolute value function is continuous everywhere, and rational functions are continuous on their domains.
Since is a rational function with a domain of , it is continuous everywhere except at .
Then using the Product Property, is continuous everywhere except at .
Notice that the composition of functions isn't listed in the Properties of Continuous Functions. There is a separate theorem for compositions because it is proven using domains of functions and the definition of continuity rather than by using limits like the Properties of Continuous Functions.
Theorem: Composition of Continuous Functions
If is continuous at , and is continuous at , then is continuous at .
If you know that is continuous at , is continuous at ?
Answer:
Take to be the absolute value function, which is continuous everywhere.
That means you know that is continuous at and is continuous at .
Then using the Composition of Continuous Functions theorem, is continuous at .
Theorems on Discontinuity
You might be wondering why there are plenty of theorems for continuous functions, and no equivalent ones for discontinuity. Let's look at an example to show why not.
Take
and .
Neither of these functions is continuous at .
If you add these two functions which aren't continuous at , is their sum still discontinuous at ? Well,
,
which is continuous everywhere. So by counterexample, you have shown that there can't be a Sum Property for discontinuous functions.
What about the Product Property? Their product is
,
which is continuous everywhere. So you can't have a Product Property for functions which aren't continuous.
You might be thinking that nothing can go wrong with the Constant Property. It is just multiplying by a constant!
In fact, that one goes wrong too.
Take . Then , which is continuous everywhere. So even the Constant Property doesn't hold for discontinuous functions.
Similar to the functions in the example above, you can come up with functions to show that the Difference Property and Quotient Property also don't hold for discontinuous functions.
Theorems of Continuity - Key takeaways
- Sum Property for continuous functions: Suppose and are functions which are continuous at . Then is continuous at .
- Difference Property for continuous functions: Suppose and are functions which are continuous at . Then is continuous at .
- Product Property for continuous functions: Suppose and are functions which are continuous at . Then is continuous at .
- Constant Multiple Property for continuous functions: Suppose is a function which is continuous at . Then if is a real number, is continuous at .
- Quotient Property for continuous functions: Suppose and are functions which are continuous at . Then if , is continuous at .
Composition of continuous functions: If is continuous at , and is continuous at , then is continuous at .
None of the above properties hold in general for functions that are discontinuous.
How we ensure our content is accurate and trustworthy?
At StudySmarter, we have created a learning platform that serves millions of students. Meet
the people who work hard to deliver fact based content as well as making sure it is verified.
Content Creation Process:
Lily Hulatt is a Digital Content Specialist with over three years of experience in content strategy and curriculum design. She gained her PhD in English Literature from Durham University in 2022, taught in Durham University’s English Studies Department, and has contributed to a number of publications. Lily specialises in English Literature, English Language, History, and Philosophy.
Get to know Lily
Content Quality Monitored by:
Gabriel Freitas is an AI Engineer with a solid experience in software development, machine learning algorithms, and generative AI, including large language models’ (LLMs) applications. Graduated in Electrical Engineering at the University of São Paulo, he is currently pursuing an MSc in Computer Engineering at the University of Campinas, specializing in machine learning topics. Gabriel has a strong background in software engineering and has worked on projects involving computer vision, embedded AI, and LLM applications.
Get to know Gabriel