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Linearization, Implicit Curves and Vector-Valued Derivatives

Zoom in on a smooth curve and it looks like a straight line: its tangent. The tangent line L(x) = f(a) + f′(a)(x − a) gives quick estimates near x = a. For curves like x² + y² = 25 we differentiate both sides and solve for dy/dx; a zero numerator gives a horizontal tangent, a zero denominator a vertical one. A moving point r(t) = (x(t), y(t)) has velocity r′(t) = (x′(t), y′(t)) and speed |r′(t)|. The nth term test says: if the terms of a series do not go to 0, the series diverges.

🎬 Step-by-step story

  1. Here is the curve y = √x. The red point is at x = 4, where y = 2.
  2. We draw the tangent line at that point. Its slope is f′(4) = 1/4. So L(x) = 2 + (1/4)(x − 4).
  3. Zoom in near the point. At x = 4.1 the line says 2.025 and the true value is 2.0248. The line is a great shortcut.
  4. Now a circle x² + y² = 25. We cannot write y alone, but we can still find the slope: dy/dx = −x/y. At (3, 4) it is −3/4. Where y = 0 the tangent stands straight up.
  5. A point moves on a path r(t) = (3cos t, 2sin t). The green arrow is the velocity r′(t). It always points along the path, and its length is the speed.
  6. Free play: pick a mode and move the slider. Watch the tangent, the slope and the velocity change.

Tip: drag the 3D scene to turn it. Use two fingers to zoom.

🤔 Common doubts, cleared

Why does a curve look straight when you zoom in?

Being differentiable means the curve has one clear slope at that point. Zoom in enough and the bending becomes too small to see, so only that slope remains: the tangent.

How do I know if my estimate is over or under?

Check concavity. Concave down: tangent above the curve, estimate too big. Concave up: estimate too small.

Why do we write dy/dx when differentiating y²?

y changes when x changes, so y² is a function inside a function. The chain rule adds the inner rate dy/dx.

How can a tangent be vertical?

When dy/dx has a zero denominator, the slope is undefined: the tangent stands straight up, like the circle at (5, 0).

Why does the velocity arrow always point along the path?

Velocity is the limit of tiny position changes, and tiny changes lie along the path. So r′(t) is tangent to the path.

Local linearity and linearization

If a function is differentiable at x = a, its graph looks almost straight when you zoom in near a. That straight line is the tangent line.

Linearization: L(x) = f(a) + f′(a)(x − a).

Use it for x close to a, where f(a) and f′(a) are easy. Example: √4.1 ≈ 2 + (1/4)(0.1) = 2.025.

Over or under?

If the curve bends down (f″ < 0, concave down) the tangent lies above the curve, so the estimate is too big. If f″ > 0 (concave up) the estimate is too small. For √x, f″ < 0, so 2.025 is a little too big.

The further x is from a, the bigger the error.

Behaviour of implicit relations

An implicit relation mixes x and y, like x² + y² = 25 or x³ + y³ = 6xy. We do not solve for y. We differentiate both sides with respect to x and treat y as a function of x (chain rule: d/dx of y² is 2y·dy/dx).

For the circle: 2x + 2y·dy/dx = 0, so dy/dx = −x/y.

Horizontal and vertical tangents

You can also find d²y/dx² by differentiating again and substituting dy/dx back in. This tells you where the curve is concave up or down.

Vector-valued functions and their derivatives

A vector-valued function gives a position for every time t: r(t) = ⟨x(t), y(t)⟩. Think of a drone's position.

Differentiate each part on its own:

For r(t) = ⟨3cos t, 2sin t⟩: v(t) = ⟨−3sin t, 2cos t⟩. At t = 0, v = ⟨0, 2⟩: moving straight up at speed 2.

The nth term test for divergence

A series a₁ + a₂ + a₃ + … adds infinitely many terms. If the terms themselves do not shrink to 0, the sum keeps growing (or swinging), so it cannot settle.

Test: if lim aₙ ≠ 0 (or the limit does not exist), the series diverges.

Careful: if lim aₙ = 0, the test says nothing. The harmonic series 1 + 1/2 + 1/3 + … has terms going to 0 but still diverges. Example: Σ n/(2n + 1): terms go to 1/2 ≠ 0, so it diverges.

Try it: estimate a root with a ruler

Draw y = √x carefully on graph paper from x = 0 to 9. Place a ruler so it just touches the curve at (4, 2). Read the ruler's height at x = 5. Compare with 2 + 1/4 = 2.25 and with a calculator's √5 = 2.236. Now try x = 4.2: the ruler gets much closer.

Key formulas and definitions

Worked examples

1. Use the tangent line at x = 4 to estimate √4.1.

f(x) = √x, f(4) = 2, f′(x) = 1/(2√x) so f′(4) = 1/4. L(x) = 2 + (1/4)(x − 4). L(4.1) = 2 + 0.025 = 2.025.

2. Is the estimate in Example 1 too big or too small?

f″(x) = −1/(4x^(3/2)) < 0, so the curve is concave down and lies below its tangent. The estimate 2.025 is slightly too big (true value 2.0248).

3. Estimate (1.02)^5 using linearization at x = 1.

f(x) = x⁵, f(1) = 1, f′(x) = 5x⁴, f′(1) = 5. L(1.02) = 1 + 5(0.02) = 1.10. (True value ≈ 1.104.)

4. Find dy/dx for x² + xy + y² = 7 and the slope at (1, 2).

2x + (y + x·dy/dx) + 2y·dy/dx = 0. So dy/dx(x + 2y) = −(2x + y), dy/dx = −(2x + y)/(x + 2y). At (1, 2): −(2 + 2)/(1 + 4) = −4/5.

5. On x² + y² = 25, where are the tangents vertical?

dy/dx = −x/y. Vertical when the denominator y = 0 (and x ≠ 0): x² = 25, so at (5, 0) and (−5, 0).

6. r(t) = ⟨t², t³ − 3t⟩. Find velocity, speed and the slope dy/dx at t = 2.

v(t) = ⟨2t, 3t² − 3⟩. At t = 2: v = ⟨4, 9⟩. Speed = √(16 + 81) = √97 ≈ 9.85. dy/dx = 9/4 = 2.25.

7. Does Σ (3n² + 1)/(n² + 5) converge?

aₙ → 3 as n → ∞. Since the limit is not 0, by the nth term test the series diverges.

Common mistakes

Practice quiz

1. The linearization of f at x = a is:
2. For x² + y² = 25, dy/dx equals:
3. If f is concave down near a, the tangent-line estimate is:
4. r(t) = ⟨cos t, sin t⟩. The speed is:
5. Σ n/(n + 1):

Practice: answer these yourself

Type or choose your answer, then press Check. Use a hint if you are stuck; the full solution appears after you answer.

Frequently asked questions

What is linearization in calculus?

Replacing a function near x = a by its tangent line L(x) = f(a) + f′(a)(x − a) to get quick, close estimates.

What does the nth term test tell you?

If the terms of a series do not approach 0, the series diverges. If they do approach 0, you need another test.

How do you differentiate a vector-valued function?

Differentiate each component separately: r′(t) = ⟨x′(t), y′(t)⟩. This is the velocity vector.

Where this is taught

USA (Common Core, NGSS, AP)Grade 12Contextual Applications of Differentiation
USA (Common Core, NGSS, AP)Grade 12Analytical Applications of Differentiation
USA (Common Core, NGSS, AP)Grade 12Contextual Applications of Differentiation
USA (Common Core, NGSS, AP)Grade 12Analytical Applications of Differentiation
USA (Common Core, NGSS, AP)Grade 12Unit 9
USA (Common Core, NGSS, AP)Grade 12Unit 10

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