${f(x) = x^2 + x + 1}$ is continuous on ${\mathbb{R}}$

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I need help finding the limit of the function ${f(x) = x^2 + x + 1}$ as ${x\rightarrow c}$ for any ${c \in \mathbb{R}}$. So far I have used the limit definition and triangle inequality up to this point.

$${|(x^2+x+1)-(c^2+c+1)|=|x^2-c^2+x-c|\leq|x^2-c^2|+|x-c|}$$

I do not know how to handle the $|x^2-c^2|$ part within the limit definition.

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Let $ c\ge 0 $ and $ x $ such that $$|x-c|<1$$

Given an $\epsilon>0$, we must find $ \delta>0 $ satisfying

$$|x-c|<\delta \implies |f(x)-f(c)|<\epsilon$$

or

$$|x-c|<\delta \implies |x-c||x+c+1|<\epsilon$$

but $$|x-c|<1\implies c-1<x<c+1$$ $$\implies 2c<x+c+1<2c+2$$ $$\implies |x+c+1|<2(c+1)$$ thus, to realise the condition $$|f(x)-f(c)|<\epsilon$$ It is sufficient to have $$|x-c|<1 \text{ and } 2|x-c|(c+1)<\epsilon$$ or $$|x-c|<1 \text{ and } |x-c|<\frac{\epsilon}{2(c+1)}$$

So, we can take $$\delta=\min(1,\frac{\epsilon}{2(c+1)})$$

You can do the same if $ c<0.$

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We fix a point $c$, and show that the given function is continuous in $c$.

  • Let $\epsilon>0$.

(We search some $\delta=\delta(\epsilon)$ such that the ball centered in $c$ and radius $\delta$ is mapped by $f$ into the ball centered in $f(c)$ and radius $\epsilon$. For this we take a break and swear we will take some $\delta<1$. But then we estimate on some other piece of paper $|x^2-c^2|+|x-c|=|x-c|\cdot|x+c|+|x-c|\le|x-c|\cdot(|x|+|c|+1)\le|x-c|\cdot(|c|+1+|c|+1)$. This estimation is the essence. Now we can...)

  • Consider / set $\displaystyle \delta$ to be the minimal value between $1$ and $\frac\epsilon{2(|c|+1)}$.

  • Let $x$ be such that $|x-c|< \delta$. Then we have: $$ \begin{aligned} |f(x)-f(c)| &=|(x^2+x+1)-(c^2+c+1)| \\ &=|(x^2-c^2)+(x-c)| \\ &\le |x^2-c^2|+|x-c| \\ &=|x-c|\cdot|x+c|+|x-c| \\ &\le|x-c|\cdot(|x|+|c|+1) \\ &\le|x-c|\cdot(|c|+1+|c|+1)\text{ since $\delta<1$} \\ &<\delta\cdot(|c|+1+|c|+1) \\ &\le \epsilon\ . \end{aligned} $$

So we have shown by definition...

$\square$

(Note that the hidden estimation is the receipt to chose $\delta$, and exactly the same estimation finishes the proof.)