Limits & Continuity
Limit: \(\lim_{x\to a} f(x) = L\) if values of \(f(x)\) get arbitrarily close to \(L\) as \(x\) approaches \(a\). A function is continuous at \(a\) when \(\lim_{x\to a} f(x) = f(a)\).
From limits and continuity to derivatives, integrals, and optimization. Use the interactive tools and examples below to build strong intuition and exam‑ready skills.
Limit: \(\lim_{x\to a} f(x) = L\) if values of \(f(x)\) get arbitrarily close to \(L\) as \(x\) approaches \(a\). A function is continuous at \(a\) when \(\lim_{x\to a} f(x) = f(a)\).
| Form | Limit |
|---|---|
| \(\displaystyle\lim_{x\to 0} \frac{\sin x}{x}\) | 1 |
| \(\displaystyle\lim_{x\to 0} \frac{e^x-1}{x}\) | 1 |
| \(\displaystyle\lim_{x\to \infty} (1+\tfrac{1}{x})^x\) | e |
Derivative of \(f(x)\) at \(a\): \(f'(a)=\lim_{h\to0} \tfrac{f(a+h)-f(a)}{h}\). Key rules: Power, Sum, Product, Quotient, and Chain.
\((fg)'=f'g+fg'\)
\(\left(\tfrac{f}{g}\right)'=\tfrac{f'g-fg'}{g^2}\)
If \(y=f(g(x))\), then \(y'=f'(g(x))\cdot g'(x)\).
| Function | Derivative |
|---|---|
| \(x^n\) | \(nx^{n-1}\) |
| \(e^x\) | \(e^x\) |
| \(\ln x\) | \(1/x\) |
| \(\sin x\) | \(\cos x\) |
| \(\cos x\) | \(-\sin x\) |
Indefinite integral: antiderivative \(\int f(x)\,dx=F(x)+C\). Definite integral: area as a limit of sums: \(\int_a^b f(x)\,dx\). We compute \(definite\) integrals numerically here.
Critical points: solve \(f'(x)=0\). Max/min via first or second derivative tests. Inflection where concavity changes (\(f''\) sign change).
Answer the questions and submit to see instant feedback. You can reuse this quiz component elsewhere by providing a new questions list.
\(\log_b(x)=y\iff b^y=x\) (for \(b>0,b\neq1,x>0\)). There is no real \(y\) such that \(b^y=0\), and \(\lim_{x\to0^+}\log_b x=-\infty\).
These explanations deepen understanding of the most important ideas in calculus, linking concepts and giving clearer intuition.
Limits describe the value a function approaches as the input gets closer to a specific point. They let us analyze functions at points where they may be undefined or behave strangely. Limits form the basis of derivatives and integrals.
A function is continuous at a point when the limit exists, the function value exists, and both match. Continuous functions have no breaks or jumps.
The derivative measures how fast a function changes. It represents the slope of the tangent line and describes instantaneous rate of change.
Integrals measure accumulation, such as area under a curve or total change over an interval. Definite integrals give a number, while indefinite integrals give families of functions.
Optimization finds maximum and minimum values of functions. Calculus identifies critical points where the derivative is zero or undefined.
The product rule is used when differentiating two functions that are multiplied together. Since both may change, both rates of change matter.
The quotient rule differentiates the ratio of two changing functions. It accounts for how the numerator and denominator both change.
The chain rule differentiates composite functions, where one function is inside another. Change flows through layers.
Brief explanations with interactive sliders and a quick check question.
Limits describe the value a function approaches near a point. Example function: f(x) = (x² − 1)/(x − 1) has a removable hole at x = 1.
A function is continuous at a if the limit exists and equals the function value there. A removable hole can be fixed by defining f(a) to equal the limit.
Derivatives measure instantaneous rate of change (slope of the tangent). Example: f(x) = x³ − 3x² + 2.
Integrals measure accumulation (area under a curve). We visualize area under f(x)=x² from 0 to b.
Find maxima/minima by solving f'(x)=0 and checking second derivative or sign changes. Example quadratic: f(x)=a x² + b x + c.
Product: (fg)' = f'g + f g'. Quotient: (f/g)' = (f'g - f g') / g². Chain: If y=f(g(x)), then y' = f'(g(x)) · g'(x).