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The difference quotient measures the average rate of change; in the limit h towards 0 it becomes the derivative, the local rate of change.
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Formula
Dimensionless (calculus) · in applied contexts y-unit per x-unit
| Symbol | Meaning | Unit |
|---|---|---|
| Point where the slope is required | dimensionless | |
| Step width (h ≠ 0, becomes arbitrarily small) | dimensionless | |
| Height difference of the secant | dimensionless | |
| f'(x0) | Derivative (tangent slope at x0) | dimensionless |
f'(x_{0}) = \lim_{h \to 0} \frac{f(x_{0}+h) - f(x_{0})}{h}Original schematic by Quanta
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The difference quotient is the secant slope through (x0|f(x0)) and (x0+h|f(x0+h)). Letting h tend to 0 tilts the secant into the tangent: the limit is called the differential quotient and defines the derivative (Newton, Leibniz, around 1670-1684). The h-method computes it concretely: substitute, expand, cancel h, then let h go to 0. Equivalent is the form lim x→x0 of .
The difference quotient exists for every function on an interval; the limit (the derivative) exists only if f is differentiable at x0, e.g. not at the kink of |x|.
Secant slopes approximate the tangent slope arbitrarily well.
Average rate of change
Without a limit: secant slope over an interval.
x-form of the limit
Equivalent definition; often more convenient for factorizations.
Determine f′(1) for with the h-method.
.
For h → 0 it follows that f′.
Compute the average rate of change of on [1; 3].
.
For comparison: the local rate at is f′, at the interval midpoint.
Substituting directly and dividing by 0.
First simplify algebraically and cancel h, then take the limit h → 0.
Forgetting the mixed term 2x0h when expanding .
Binomial formula: .
Equating average and local rate of change.
The average rate belongs to an interval (secant), the local one to a point (tangent).
Formula cluster
All derivative rules (power, product, chain rule) follow from this limit.
at : . For h → 0 it follows that f′. Check with the power rule: f′, so f′ ✓.
Deriving derivatives in the no-calculator part, comprehension tasks on average and local rates of change, numerical differentiation, physics (instantaneous velocity from distance-time data)
Here is how to work through a typical Difference Quotient and h-Method (f'(x₀) = lim (f(x₀+h)−f(x₀))/h) task step by step:
Task
Determine f′(1) for with the h-method.
Solution path
.
For h → 0 it follows that f′.
Task
Compute the average rate of change of on [1; 3].
Solution path
.
For comparison: the local rate at is f′, at the interval midpoint.
The difference quotient is ordinary fraction arithmetic: the slope of the secant through two curve points, i.e. the average rate of change over an interval. The differential quotient is its limit for h → 0: the two points move together, the secant tilts into the tangent, and out comes the local rate of change f′(x0) at a single point. Mnemonic: difference = two points, differential = one point with a limit. Example at : the difference quotient is 6 + h (still depends on h), the differential quotient is the number 6. Without the limit there is no derivative.
Four steps using , . First set up: . Second expand: . Third factor out h and cancel: ; cancelling is allowed because . Fourth take the limit: for h → 0, f′ remains. The critical point is step 2: only when every summand in the numerator contains an h can you cancel; if an h-free term remains, there is an arithmetic error in the binomial expansion. The method works the same for x3 (with (a+b)3) or 1/x (with a common denominator).
Substituting directly gives , an indeterminate expression; division by 0 is undefined. Moreover the difference quotient describes a secant through two points, and at both would coincide: no unique line passes through a single point. The h-method avoids this cleanly: for the fraction is simplified algebraically until h is cancelled; the resulting term (say 6 + h) can then be evaluated at too, and the limit exists. Exactly this two-step (cancel first, then h → 0) is the mathematical substance of the limit concept behind the derivative.
The average rate of change on an interval [a; b] is the difference quotient : total change divided by interval length, geometrically the secant slope. Example: on [1; 3]: . In applied contexts it carries a unit, e.g. metres per second (average speed) or degrees per hour. The local rate of change f′(x0), by contrast, is the limiting case at one point, in the speedometer picture: average speed of the trip versus instantaneous speed at the moment of a speed check. A classic exam task is comparing the two values, here: average rate 4 on [1; 3], local rate f′ at the interval midpoint.
The derivative exists only if the limit of the difference quotient exists, from both sides with the same value. Three typical counterexamples: first, kinks like at , where the left-hand secant slope gives −1 and the right-hand one +1; no common limit, no tangent. Second, jump points: if f is discontinuous, there can be no derivative at all, differentiability requires continuity. Third, vertical tangents as for at 0, where the secant slopes grow towards infinity. Conversely, continuity does not imply differentiability; |x| is the standard example of a continuous function that is not differentiable everywhere.
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Curated exam set for "Difference Quotient and h-Method":
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Which formula describes Difference Quotient and h-Method?
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How do you rearrange Difference Quotient and h-Method for Average rate of change?
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Which common mistake happens with Difference Quotient and h-Method?
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