Differential
Differential
An
tiny or infinitesimal change in the value of a variable. Differentials
are commonly written in the form dx or dy.
See also
Key Formula
dy=f′(x)dx
Where:
- dy = The differential of y — the approximate change in y
- f′(x) = The derivative of the function y = f(x)
- dx = The differential of x — a small change in the independent variable x
Worked Example
Problem: Given y = x², use differentials to approximate the change in y when x changes from 3 to 3.01.
Step 1: Identify the function and find its derivative.
y=x2⟹f′(x)=2x
Step 2: Set up the values. Here x = 3 and the small change in x is dx = 0.01.
x=3,dx=0.01
Step 3: Apply the differential formula dy = f'(x) dx.
dy=2(3)(0.01)=0.06
Step 4: Compare with the exact change: Δy = (3.01)² − 3² = 9.0601 − 9 = 0.0601. The differential dy = 0.06 is very close to the actual change.
Δy=0.0601,dy=0.06
Answer: The differential dy = 0.06, which approximates the actual change of 0.0601 with high accuracy.
Another Example
Problem: Use differentials to approximate √16.2 without a calculator.
Step 1: Choose a nearby value where the square root is exact. Let f(x) = √x, with x = 16 and dx = 0.2.
f(x)=x,x=16,dx=0.2
Step 2: Find the derivative of f(x).
f′(x)=2x1
Step 3: Compute the differential dy.
dy=2161⋅0.2=80.2=0.025
Step 4: Add the differential to f(16) to get the approximation.
16.2≈4+0.025=4.025
Answer: √16.2 ≈ 4.025 (the actual value is 4.02492..., so the approximation is excellent).
Frequently Asked Questions
What is the difference between dx and Δx?
Both represent a change in x, but Δx denotes a finite, measurable change of any size, while dx represents an infinitesimally small change — a change that is conceptually approaching zero. When you use dx in the differential formula dy = f'(x) dx, you treat dx as arbitrarily small so the linear approximation is extremely accurate. In practice for computations, you often substitute a small Δx value in place of dx.
Why does dy/dx look like a fraction if it's a derivative?
The notation dy/dx originated from the ratio of two differentials: dy and dx. While the derivative is formally defined as a limit, Leibniz's notation preserves the idea that it behaves like a fraction of infinitesimal changes. This is why you can "multiply both sides by dx" to get dy = f'(x) dx — the algebraic manipulation is valid because differentials are well-defined quantities.
Differential (dy) vs. Derivative (dy/dx)
A differential dy is a quantity — it tells you how much y changes for a given small change dx. A derivative dy/dx is a rate — it tells you the ratio of change in y to change in x at a point. The relationship is dy=dxdy⋅dx. Think of the derivative as the slope, and the differential as the actual vertical rise you get by moving along the tangent line by dx.
Why It Matters
Differentials make it possible to approximate complicated calculations quickly, such as estimating cube roots or the effect of measurement error on a computed quantity. They also give meaning to the notation inside integrals: in ∫f(x)dx, the dx is literally the differential, representing an infinitesimal width of each rectangle in a Riemann sum. Understanding differentials is essential for techniques like substitution and separable differential equations, where you manipulate dx and dy algebraically.
Common Mistakes
Mistake: Confusing the differential dy with the actual change Δy and treating them as identical.
Correction: The differential dy is a linear approximation of Δy based on the tangent line. They are nearly equal only when dx is small. For large changes in x, dy can differ significantly from Δy because it ignores the curve's curvature.
Mistake: Thinking dx must always equal 1 or some fixed value.
Correction: dx is a free variable — it can be any small quantity you choose. The whole point of the differential formula dy = f'(x) dx is that it works for whatever size dx you plug in, though the approximation improves as dx gets smaller.
Related Terms
- Infinitesimal — The conceptual basis for differentials
- Variable — The quantity whose differential is taken
- Approximation by Differentials — Using differentials to estimate function values
- Derivative — The ratio of differentials dy/dx
- Linearization — Tangent-line approximation using differentials
- Integral — Sums of infinitesimal products involving dx
- Chain Rule — Differential notation simplifies composite derivatives
