## Differentiability Implies Continuity

In the course of showing that the differential of a function at a point — if it exists at all — is unique (and thus we can say “the” differential), we showed that given an orthonormal basis we have all partial derivatives. We even have all directional derivatives, with pretty much the same proof. We replace with an arbitrary vector , and pick the scalar so that . We find that . So when a function is differentiable not only do all directional derivatives exist, they’re all given by a single linear functional applied to the direction vector. Notice that this does *not* hold for the pathological example we used to show that having all directional derivatives didn’t imply continuity.

Okay, so now does having a differential at a point imply that a function is continuous there? Remember that this was the major reason we rejected both partial and directional derivatives as insufficient as generalizations of differentiation in one variable. But, happily, it does. Firstly, we’re going to pick a basis and show that the function satisfies a Lipschitz condition (five minutes of furtive laughter in any advanced calculus class starts…. now) (it’s worse than doing quantum mechanics with bras in front of high schoolers). That is to say, there is a positive number and some neighborhood of so that if but , then . Or, in more conceptual terms, any displacement near enough to can only be made times bigger after running it through . This gives us some control on what the function does as we move our input point around.

So, first we take in the definition of the differential, to find

we can add to both sides and use the triangle inequality to find

But once we pick a basis we can write out the differential as

I’ve written out the sum explicitly here because it’s necessary in the last term. So if we pick

then we have the Lipschitz condition we want.

And then it just so happens that a Lipschitz condition implies continuity. Indeed, given an pick a small enough that both , and also the ball of radius fits inside the neighborhood from the Lipschitz condition. Then for we find

and we have continuity.

Now to really understand this, go back and walk it through with a function of one variable. See if you can find where the old proof that a having a derivative implies continuity is sitting inside this Lipschitz condition proof.

[...] be sufficient for differentiability, because if it were then having all partial derivatives would imply continuity, and we know that it doesn’t. What will be sufficient is to ask that not only do all partial [...]

Pingback by An Existence Condition for the Differential « The Unapologetic Mathematician | October 1, 2009 |

[...] since is differentiable it satisfies a Lipschitz condition. We showed that this works for real-valued functions, but extending the result is very [...]

Pingback by The Chain Rule « The Unapologetic Mathematician | October 7, 2009 |

please tell me some short cuts to solve this type of problems.

Comment by vamsi | September 30, 2010 |

Sorry, what kind of problems do you mean?

Comment by John Armstrong | September 30, 2010 |

[...] turns out that our existence proof will actually hinge on our function satisfying a Lipschitz condition. So let’s show that we will have this property [...]

Pingback by Continuously Differentiable Functions are Locally Lipschitz « The Unapologetic Mathematician | May 4, 2011 |