Infinitesimal Calculus: Meaning, History and Examples

#Calculus
TL;DR
Infinitesimal calculus is the original name for calculus, built on quantities smaller than every positive number. This guide covers Leibniz's dx, why limits replaced infinitesimals, Robinson's revival, and examples worked both ways.
BT
Bhanzu TeamLast updated on October 9, 202618 min read

What Is Infinitesimal Calculus?

Infinitesimal calculus is the name that differential and integral calculus carried when Isaac Newton and Gottfried Wilhelm Leibniz built it in the late 17th century, because its methods ran on infinitely small quantities called infinitesimals. Today the subject is simply called calculus, and the infinitesimals have been replaced in most textbooks by limits. The notation, though, never changed.

An infinitesimal is a quantity that is not zero yet is smaller in size than every positive real number. Written as a condition, a positive infinitesimal ε\varepsilon would satisfy

0<ε<1nfor every positive integer n.0 < \varepsilon < \frac{1}{n} \quad \text{for every positive integer } n.

Here ε\varepsilon is the infinitesimal and nn runs through 1,2,3,…1, 2, 3, \ldots without end. With infinitesimals in hand, Leibniz described the two central operations of calculus like this:

dydx=f(x+dx)−f(x)dx,∫abf(x),dx=the sum of infinitely many strips f(x),dx.\frac{dy}{dx} = \frac{f(x + dx) - f(x)}{dx}, \qquad \int_{a}^{b} f(x),dx = \text{the sum of infinitely many strips } f(x),dx.

In these formulas dxdx is an infinitesimal change in xx, dydy is the matching infinitesimal change in y=f(x)y = f(x), and f(x),dxf(x),dx is the area of one infinitely thin strip of height f(x)f(x). The first formula gives the derivative (a rate of change); the second gives the integral (an accumulated total). One condition was always left unspoken: at the end of a derivative calculation, any term still containing dxdx is thrown away. That rule worked, and it was also the weak spot critics aimed at.

Why Is Calculus Called Infinitesimal Calculus?

Calculus is called infinitesimal calculus because its first versions computed with infinitesimals, and the longer name stuck for about two centuries. The word "calculus" itself comes from the Latin for "pebble", since Romans counted with small stones, so a "calculus" was originally any system of reckoning. Leibniz named his two branches calculus differentialis and calculus summatorius, and "infinitesimal calculus" became the umbrella term for both.

Newton used a different name for the same ideas. He called his method the science of fluxions, and British schools kept that vocabulary into the 19th century. The full story of who discovered what, and when, is told on the history of calculus page; this article stays on the infinitesimals themselves.

Is An Infinitesimal A Real Number?

No real number is an infinitesimal, apart from zero, which the definition excludes. The reason is a property of the real numbers called the Archimedean property: for any positive real number rr, there is a whole number nn large enough that 1n<r\frac{1}{n} < r. So any positive real number fails the condition 0<ε<1n0 < \varepsilon < \frac{1}{n} for some nn.

That fact explains the whole drama of this subject in one line. Newton, Leibniz and Euler calculated with objects that the number line, as later mathematicians defined it, has no room for. Their answers were right, but the objects behind them had no rigorous definition until the 20th century.

A Physics Forums thread, "The infinitesimal in Calculus", tries to define an infinitesimal dd as a positive number smaller than every other positive number and asks whether that definition is correct. Inside the real numbers it cannot be: if d>0d > 0 were the smallest positive real, then d2\frac{d}{2} would be a smaller positive real, which is a contradiction.

Three properties early users relied on, all stated informally:

  • An infinitesimal is not zero, so you may divide by it.

  • An infinitesimal is smaller than any ordinary quantity, so x+dxx + dx is "the same point" as xx for practical purposes.

  • A product of two infinitesimals is negligible compared with one infinitesimal, so terms like (dx)2(dx)^2 can be dropped beside dxdx.

The first and third properties pull against each other. Division needs dx≠0dx \neq 0, while dropping terms treats dxdx almost as if it were 00.

How Did Leibniz Calculate With Dx And Dy?

Leibniz calculated by writing every change as a differential, expanding, and discarding higher-order infinitesimals. According to the MacTutor biography, he first wrote the integral sign together with dxdx in a manuscript dated 21 November 1675, and he published his differential calculus in 1684 in the journal Acta Eruditorum, under the title Nova Methodus pro Maximis et Minimis. His integral sign appeared in print in 1686.

His derivation of the product rule shows the whole method. Let xx and yy change by dxdx and dydy. The product xyxy changes by

d(xy)=(x+dx)(y+dy)−xyd(xy) = (x + dx)(y + dy) - xy

d(xy)=x,dy+y,dx+dx,dy.d(xy) = x,dy + y,dx + dx,dy.

The last term dx,dydx,dy is a product of two infinitesimals, so Leibniz discarded it:

d(xy)=x,dy+y,dx.d(xy) = x,dy + y,dx.

Divide by dxdx and you have the modern product rule. The method is fast, it is easy to remember, and it gives correct results for every function Leibniz worked with.

Newton worked differently. He pictured quantities flowing in time and wrote their rates (fluxions) with a dot, as in x˙\dot{x}, using a small increment he called "o" during the calculation and then letting it vanish. The two methods produce identical results, and Leibniz's dxdx notation is the one that survived worldwide.

Why Did Limits Replace Infinitesimals?

Limits replaced infinitesimals because nobody in the 18th century could say exactly what an infinitesimal was, and the limit gave calculus a definition built only from ordinary real numbers. The pressure began in 1734, when George Berkeley published The Analyst and argued that calculus divided by a quantity and then treated it as zero, a shift in the hypothesis. He called the vanishing increments "ghosts of departed quantities".

Mathematicians answered in stages:

  • Bernard Bolzano (1817) sketched the epsilon-delta idea for continuity, though his work stayed little known in his lifetime.

  • Augustin-Louis Cauchy (1821) wrote the Cours d'analyse for students at the Ecole Polytechnique, developing the basic theorems of calculus as rigorously as he could, with limits and infinitesimals described through variable quantities.

  • Karl Weierstrass (1861) stated the epsilon-delta definition of limit in the form still taught today, through his Berlin lectures.

The Weierstrass definition contains no infinitesimal at all. A function ff has the limit LL as xx approaches aa when

for every ε>0 there is a δ>0 such that 0<∣x−a∣<δ  ⟹  ∣f(x)−L∣<ε.\text{for every } \varepsilon > 0 \text{ there is a } \delta > 0 \text{ such that } 0 < |x - a| < \delta \implies |f(x) - L| < \varepsilon.

Here ε\varepsilon and δ\delta are ordinary positive real numbers, as small as you like but never infinitely small. The derivative then becomes a limit of a function, the difference quotient as hh shrinks:

f′(x)=lim⁡h→0f(x+h)−f(x)h.f'(x) = \lim_{h \to 0} \frac{f(x + h) - f(x)}{h}.

Compare this with Leibniz's version. The limit never sets hh equal to zero and never divides by zero, which is exactly the gap Berkeley spotted. The full development of this formula is on the definition of the derivative page.

Year

Person

What changed

1675

Leibniz

Integral sign and dx appear in his manuscripts

1684

Leibniz

First published account of the differential calculus

1734

Berkeley

The Analyst attacks the logic of infinitesimals

1821

Cauchy

Cours d'analyse puts limits at the centre

1861

Weierstrass

Epsilon-delta definition of limit in modern form

1961

Robinson

Non-standard analysis makes infinitesimals rigorous

1976

Keisler

First edition of an infinitesimal-based calculus textbook

How Did Abraham Robinson Bring Infinitesimals Back?

Abraham Robinson brought infinitesimals back in 1961 by building a number system, the hyperreal numbers, that contains the real numbers plus genuine infinitesimals and infinite numbers, all obeying the same algebra. He set out the theory in his 1966 book Non-standard Analysis. For the first time, Leibniz's style of reasoning had a foundation as rigorous as Weierstrass's.

The key tool is the standard part. Every finite hyperreal number rr sits infinitely close to exactly one real number, written st⁡(r)\operatorname{st}(r). The derivative then reads almost like Leibniz:

f′(x)=st⁡(f(x+dx)−f(x)dx)for any nonzero infinitesimal dx.f'(x) = \operatorname{st}\left(\frac{f(x + dx) - f(x)}{dx}\right) \quad \text{for any nonzero infinitesimal } dx.

Taking the standard part is the rigorous version of "throw away the leftover dxdx". It replaces the old rule of thumb with a defined operation, so Berkeley's objection no longer applies.

A related Physics Forums thread asks how hyperreal numbers make infinitesimals logically sound in calculus. Robinson's answer is the transfer principle: a statement about the reals written in first-order logic is true exactly when its hyperreal version is true, so the familiar algebra carries over unchanged. The Archimedean property still transfers, but with hyperintegers in place of ordinary whole numbers, which is how infinitesimals fit in without breaking any rule.

The distinction between "an infinitesimal does not exist among the reals" and "an infinitesimal exists in a larger system" takes a while to settle; it is easy to read Robinson's work as proving the reals were wrong, when it only shows they can be extended. In 1976 H. Jerome Keisler published Elementary Calculus: An Infinitesimal Approach, a first-year textbook built on hyperreals, and he now keeps it freely available online. Other systems with infinitesimals exist too, such as dual numbers (used in automatic differentiation) and smooth infinitesimal analysis, but most courses still teach the limit approach.

When Can You Treat A Derivative Like A Fraction?

You can treat dydx\frac{dy}{dx} like a fraction whenever a single independent variable is involved, because those manipulations are backed by theorems. This is one of the most-viewed calculus questions on Math Stack Exchange ("Is dy/dx not a ratio?"), and the honest answer is: in the limit definition it is not a ratio, in Leibniz's and Robinson's frameworks it is, and in everyday one-variable work the fraction-style moves give correct results.

Two places where the fraction picture works:

  • The chain rule. Writing dydx=dydu⋅dudx\frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx} looks like cancelling dudu, and the result is a true theorem.

  • Inverse functions. dxdy=1dy/dx\frac{dx}{dy} = \frac{1}{dy/dx} wherever dydx≠0\frac{dy}{dx} \neq 0, again matching the fraction picture.

A second Stack Exchange question asks when not to treat dydx\frac{dy}{dx} as a fraction. Trouble starts with several variables. For partial derivatives of x+y+z=0x + y + z = 0, "cancelling" suggests

∂z∂x⋅∂x∂y⋅∂y∂z=1,\frac{\partial z}{\partial x} \cdot \frac{\partial x}{\partial y} \cdot \frac{\partial y}{\partial z} = 1,

but each factor equals −1-1, so the product is actually −1-1. Partial derivatives each hold a different variable fixed, so their symbols are not fractions with a shared meaning.

How Is Dx Used In Calculus Today?

Today dxdx has three jobs: it names the variable of integration, it serves as a differential (a real number standing for a small change) in approximations, and it lets you separate variables in differential equations. Each job descends directly from infinitesimal calculus.

  • In an integral. Math Stack Exchange's "What is dx in integration?" gets the infinitesimal answer historically (the width of a strip) and the modern answer formally (a marker of which variable the Riemann sum runs over). The area under a curve is the limit of sums of f(xk),Δxf(x_k),\Delta x strips, and dxdx is the descendant of Δx\Delta x.

  • As a differential. With y=f(x)y = f(x), the differential dy=f′(x),dxdy = f'(x),dx gives a linear estimate of the change in yy for a small real change dxdx.

  • In substitution. In integration by substitution, writing u=x2u = x^2 and du=2x,dxdu = 2x,dx treats dudu and dxdx as differentials, and the bookkeeping comes out right.

  • In physics. Physicists "multiply both sides by dxdx" when separating variables, a habit another Stack Exchange thread asks about. The move is justified by the chain rule and the substitution rule, which is why the answers come out correct.

Examples Of Infinitesimal Calculus

Each example works the same problem twice: first with infinitesimals in Leibniz's style (made rigorous by the standard part), then with limits. The two columns always agree.

Example 1

Find the derivative of f(x)=x2f(x) = x^2.

Infinitesimal version:

(x+dx)2−x2dx=2x,dx+(dx)2dx\frac{(x + dx)^2 - x^2}{dx} = \frac{2x,dx + (dx)^2}{dx}

=2x+dx= 2x + dx

st⁡(2x+dx)=2x\operatorname{st}(2x + dx) = 2x

Limit version:

lim⁡h→0(x+h)2−x2h=lim⁡h→0(2x+h)\lim_{h \to 0} \frac{(x + h)^2 - x^2}{h} = \lim_{h \to 0} (2x + h)

=2x= 2x

Final answer: f′(x)=2xf'(x) = 2x. Geometrically, the tangent to the parabola at x=1x = 1 has slope 22.

Example 2

Find the slope of f(x)=x3f(x) = x^3 at x=2x = 2.

A tempting shortcut is to treat dxdx as a small ordinary number, say 0.10.1, and compute directly:

(2.1)3−80.1=9.261−80.1\frac{(2.1)^3 - 8}{0.1} = \frac{9.261 - 8}{0.1}

=12.61= 12.61

That cannot be the slope. Try 0.0010.001 instead and the quotient becomes 12.00600112.006001, a different number. A slope at a point has one value, so a method whose answer depends on the size of the step is measuring an average over a small interval, not the slope at x=2x = 2. The fix is to keep dxdx symbolic and remove what is left only at the end:

(2+dx)3−8dx=12,dx+6,(dx)2+(dx)3dx\frac{(2 + dx)^3 - 8}{dx} = \frac{12,dx + 6,(dx)^2 + (dx)^3}{dx}

=12+6,dx+(dx)2= 12 + 6,dx + (dx)^2

st⁡(12+6,dx+(dx)2)=12\operatorname{st}\big(12 + 6,dx + (dx)^2\big) = 12

The limit version agrees: lim⁡h→0(12+6h+h2)=12\lim_{h \to 0} (12 + 6h + h^2) = 12. The numbers 12.6112.61 and 12.00600112.006001 were the leftover terms 6,dx+(dx)26,dx + (dx)^2 evaluated at real step sizes.

Final answer: the slope is 1212.

Example 3

Find the derivative of sin⁡x\sin x.

Infinitesimal version. Use the angle-addition formula, then the first-order behaviour of sine and cosine for an infinitesimal angle (sin⁡dx≈dx\sin dx \approx dx and cos⁡dx≈1\cos dx \approx 1, each with an error of second order):

sin⁡(x+dx)−sin⁡x=sin⁡xcos⁡(dx)+cos⁡xsin⁡(dx)−sin⁡x\sin(x + dx) - \sin x = \sin x \cos(dx) + \cos x \sin(dx) - \sin x

≈sin⁡x⋅1+cos⁡x⋅dx−sin⁡x\approx \sin x \cdot 1 + \cos x \cdot dx - \sin x

=cos⁡x,dx= \cos x,dx

Dividing by dxdx and taking the standard part gives cos⁡x\cos x.

Limit version. The same expansion needs two standard limits:

lim⁡h→0sin⁡hh=1,lim⁡h→0cos⁡h−1h=0\lim_{h \to 0} \frac{\sin h}{h} = 1, \qquad \lim_{h \to 0} \frac{\cos h - 1}{h} = 0

lim⁡h→0sin⁡(x+h)−sin⁡xh=sin⁡x⋅0+cos⁡x⋅1\lim_{h \to 0} \frac{\sin(x + h) - \sin x}{h} = \sin x \cdot 0 + \cos x \cdot 1

=cos⁡x= \cos x

Final answer: ddx(sin⁡x)=cos⁡x\frac{d}{dx}(\sin x) = \cos x.

Example 4

Find the area under y=x2y = x^2 from x=0x = 0 to x=1x = 1 as a sum of thin strips.

Split [0,1][0, 1] into nn strips of width 1n\frac{1}{n} and use the right-hand height (kn)2\left(\frac{k}{n}\right)^2 for strip kk:

Sn=∑k=1n(kn)2⋅1nS_n = \sum_{k=1}^{n} \left(\frac{k}{n}\right)^2 \cdot \frac{1}{n}

=(n+1)(2n+1)6n2= \frac{(n + 1)(2n + 1)}{6n^2}

Limit version: let n→∞n \to \infty.

lim⁡n→∞(n+1)(2n+1)6n2=26\lim_{n \to \infty} \frac{(n + 1)(2n + 1)}{6n^2} = \frac{2}{6}

=13= \frac{1}{3}

Infinitesimal version: take nn infinitely large, so each strip has infinitesimal width dx=1ndx = \frac{1}{n}, and the standard part of SnS_n is 13\frac{1}{3}. With n=10n = 10 the sum is 0.3850.385, and with n=100n = 100 it is 0.338350.33835, closing in on 13\frac{1}{3}.

Final answer: ∫01x2,dx=13\int_{0}^{1} x^2,dx = \frac{1}{3}.

Example 5

Solve dydx=ky\frac{dy}{dx} = ky, where kk is a constant, by separating the differentials.

Treat dydy and dxdx as separate quantities, the way Leibniz would:

dyy=k,dx\frac{dy}{y} = k,dx

∫1y,dy=∫k,dx\int \frac{1}{y},dy = \int k,dx

ln⁡∣y∣=kx+C\ln|y| = kx + C

y=Aekxy = Ae^{kx}

Here A=±eCA = \pm e^{C} (and A=0A = 0 covers the solution y=0y = 0). The limit-based justification is the chain rule applied to ln⁡∣y(x)∣\ln|y(x)|, whose derivative is y′y=k\frac{y'}{y} = k. This is the standard method for a separable differential equation.

Final answer: y=Aekxy = Ae^{kx}.

Example 6

Estimate 4.1\sqrt{4.1} with the differential dy=f′(x),dxdy = f'(x),dx.

Take f(x)=xf(x) = \sqrt{x}, x=4x = 4 and dx=0.1dx = 0.1. Then f′(x)=12xf'(x) = \frac{1}{2\sqrt{x}}, so

dy=124⋅0.1dy = \frac{1}{2\sqrt{4}} \cdot 0.1

=0.025= 0.025

4.1≈2+0.025=2.025\sqrt{4.1} \approx 2 + 0.025 = 2.025

The true value is 2.02482.0248 to 4 decimal places. Here dxdx is an ordinary small number, not an infinitesimal, and that is why the answer is an estimate rather than exact. Geometrically, dydy is the rise along the tangent line, while the true change is the rise along the curve.

Final answer: 4.1≈2.025\sqrt{4.1} \approx 2.025.

Why Did Mathematicians Need Infinitesimals In The First Place?

"Two problems that ordinary algebra could not crack" is the short reason infinitesimals were invented. Seventeenth-century scientists needed:

  • The speed of a moving body at one instant. Average speed divides distance by time, but at a single instant both are zero, and 00\frac{0}{0} says nothing. An infinitesimal time step gave a nonzero denominator.

  • The area of a curved region. Rectangles fit straight edges only. Slicing a curved region into infinitely thin strips turned area into a sum, the idea Archimedes approached with his method of exhaustion and that Johannes Kepler used on wine barrels.

Infinitesimals turned both questions into calculations. The two answers then turned out to be inverse operations, the content of the fundamental theorem of calculus, which is why one subject and one notation cover rates and totals at once. Planetary orbits, falling bodies and later electrical circuits were all described with the same dxdx.

Where Do Students Trip Up On Infinitesimal Calculus?

The mistakes below come from mixing up the three meanings of dxdx: the historical infinitesimal, the modern limit, and the everyday differential.

Mistake 1: Treating The Step As A Tiny Ordinary Number

Where it slips in: Finding a derivative by plugging in a very small step such as 0.0010.001 and calling the result exact.

Don't do this: Report 12.00600112.006001 as the slope of x3x^3 at x=2x = 2.

The correct way: Keep the step symbolic, simplify, and only then let it vanish (limit) or take the standard part (hyperreals); the slope is exactly 1212.

The rusher tends to make this one, because a calculator answer feels finished. Computers face the same issue: with f(x)=x2f(x) = x^2 at x=1x = 1, the quotient (1+h)2−1h\frac{(1 + h)^2 - 1}{h} in standard floating-point arithmetic gives about 2.00012.0001 for h=0.0001h = 0.0001 but exactly 00 for h=10−17h = 10^{-17}, because the machine rounds 1+h1 + h back to 11.

Mistake 2: Cancelling Differentials Everywhere

Where it slips in: Multivariable problems, after a student has learned the chain rule as "the dudu's cancel".

Don't do this: Assume ∂z∂x⋅∂x∂y⋅∂y∂z=1\frac{\partial z}{\partial x} \cdot \frac{\partial x}{\partial y} \cdot \frac{\partial y}{\partial z} = 1.

The correct way: Remember each partial derivative holds a different variable fixed; for x+y+z=0x + y + z = 0 the product is −1-1.

The memorizer who learned "fractions cancel" as a rule, rather than the chain rule as a theorem, freezes here. A student who can say why the chain rule holds has no trouble seeing where it stops.

Mistake 3: Dropping The Differential From An Integral

Where it slips in: Substitution problems, where the dxdx is treated as decoration.

Don't do this: Write ∫cos⁡(2x),dx=sin⁡(2x)+C\int \cos(2x),dx = \sin(2x) + C after setting u=2xu = 2x and ignoring how dxdx changes.

The correct way: Convert the differential too: du=2,dxdu = 2,dx, so dx=du2dx = \frac{du}{2} and ∫cos⁡(2x),dx=sin⁡(2x)2+C\int \cos(2x),dx = \frac{\sin(2x)}{2} + C.

Students who write the dxdx in every integral, every time, stop losing that factor of 12\frac{1}{2}; the differential carries the conversion for them. A quick check is to differentiate the answer and see the integrand come back.

The first of these mistakes has a famous real-world version. The step "divide by dxdx, then pretend it is 00" is exactly what George Berkeley attacked in The Analyst in 1734, arguing that calculus reached true results through a logical fallacy. His criticism started the search for rigour that ended with Cauchy's and Weierstrass's limits.

Practice Problems On Infinitesimal Calculus

  1. Use the infinitesimal method, expanding 5(x+dx)25(x + dx)^2, to find the derivative of 5x25x^2.

  2. For y=x3−xy = x^3 - x, find the differential dydy, then evaluate it at x=2x = 2 with dx=0.01dx = 0.01.

  3. Use 1x+dx−1x\frac{1}{x + dx} - \frac{1}{x} to find the derivative of 1x\frac{1}{x}.

  4. Write the right-hand strip sum for ∫02x,dx\int_{0}^{2} x,dx with nn strips, simplify it, and find its limit.

  5. Separate the differentials to solve dydx=3y\frac{dy}{dx} = 3y with y(0)=2y(0) = 2.

  6. Evaluate ∫xex2,dx\int x e^{x^2},dx using u=x2u = x^2.

Answer to Question 1: 10x10x.

Answer to Question 2: dy=(3x2−1),dxdy = (3x^2 - 1),dx, which is 0.110.11 at x=2x = 2, dx=0.01dx = 0.01.

Answer to Question 3: the difference is −dxx(x+dx)\frac{-dx}{x(x + dx)}, so the derivative is −1x2-\frac{1}{x^2}.

Answer to Question 4: the sum is 2+2n2 + \frac{2}{n}, with limit 22.

Answer to Question 5: y=2e3xy = 2e^{3x}.

Answer to Question 6: ex22+C\frac{e^{x^2}}{2} + C.

Key Takeaways

  • Infinitesimal calculus is the original name for calculus, built on quantities smaller than every positive real number.

  • Leibniz's dxdx and dydy notation, first written in 1675, survived even after the infinitesimals behind it were replaced.

  • Berkeley's 1734 critique led to the limit definitions of Cauchy (1821) and Weierstrass (1861).

  • Robinson's hyperreal numbers (1961) made infinitesimals rigorous, with the standard part replacing "throw away the leftover dxdx".

  • Never replace dxdx with a small ordinary number when you want an exact derivative.

Where To Go From Here

Work through practice problems 1 to 3 using both the infinitesimal method and the limit method; if the leftover dxdx terms confuse you, return to Example 2 and the section on how Leibniz calculated with dxdx and dydy. For a live session that works through these two views of the derivative, book a free demo with a Bhanzu trainer:

Read More

Was this article helpful?

Your feedback helps us write better content

Frequently Asked Questions

In infinitesimal calculus, what is the practical difference between a differential and a derivative?
A derivative is a rate, the number f′(x)f'(x). A differential is a change, dy=f′(x),dxdy = f'(x),dx, which depends on both the point xx and the step dxdx. In Leibniz's notation the derivative is the ratio of the two differentials, dydx\frac{dy}{dx}.
Did Newton and Leibniz know the precise definition of a limit when they built infinitesimal calculus?
No. The epsilon-delta definition came more than 150 years later, from Weierstrass in 1861, so both men worked with intuitive vanishing quantities. Their rules were right anyway, and today's courses keep those rules while resting them on limits.
Why is the second derivative written as d squared y over dx squared?
Leibniz applied dd twice to yy, giving d(dy)d(dy), written d2yd^2y, while the denominator is dx⋅dxdx \cdot dx, written dx2dx^2. So d2ydx2\frac{d^2y}{dx^2} records "differentiate twice with respect to xx".
Is dx dy really a multiplication of dx and dy?
In a double integral, dx,dydx,dy stands for the area of a tiny rectangle, dxdx wide and dydy tall, so it behaves like a product of two lengths. Formally it marks the variables of integration and the order in which they are integrated.
If dy/dt times dt doesn't cancel, then what do you call it?
You call it the substitution rule. The identity ∫f(y),dydt,dt=∫f(y),dy\int f(y),\frac{dy}{dt},dt = \int f(y),dy looks like cancellation, but it is a theorem that follows from the chain rule, which is why the shortcut is safe in one variable.
Is there a rigorous definition of the differential?
Yes, more than one. In a first course, dxdx is any real number and dydy is defined as f′(x),dxf'(x),dx. In non-standard analysis dxdx can be a true infinitesimal, and in higher mathematics differentials become linear maps called differential forms.
What are infinitesimals, in the simple version?
An infinitesimal is a quantity closer to zero than any ordinary positive number, yet not zero itself. The real numbers contain no such quantity, so infinitesimals live in larger systems such as the hyperreals, while most calculus courses use limits instead.
✍️ Written By
BT
Bhanzu Team
Content Creator and Editor
Bhanzu’s editorial team, known as Team Bhanzu, is made up of experienced educators, curriculum experts, content strategists, and fact-checkers dedicated to making math simple and engaging for learners worldwide. Every article and resource is carefully researched, thoughtfully structured, and rigorously reviewed to ensure accuracy, clarity, and real-world relevance. We understand that building strong math foundations can raise questions for students and parents alike. That’s why Team Bhanzu focuses on delivering practical insights, concept-driven explanations, and trustworthy guidance-empowering learners to develop confidence, speed, and a lifelong love for mathematics.
Related Articles
Book a FREE Demo ClassBook Now →