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ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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The map x↦(x+2/x)/2 is a contraction of [1,2] with fixed point 2, and the a priori bound gives the error after n steps

Example

Let X:=[1,2]⊆R (Intervals of R: the nine order-convex forms, nondegeneracy, and length) with the metric d(x,y)=∣x−y∣ inherited from R (The absolute value makes R a metric space: d(x,y)=∣x−y∣ is a metric, its open balls are the intervals (x−r,x+r), and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), and define

f(x)  :=  x+2/x2  =  x2+1x.

Then:

  1. (X,d) is a nonempty complete metric space (Complete metric space: every Cauchy sequence converges in the space).
  2. f maps X into X.
  3. f is a contraction with constant q=1/2 (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction).
  4. f has exactly one fixed point in X, namely 2 (Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}), and the iterates xn+1=f(xn) converge to it from every starting point x0∈X (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point).
  5. Starting from x0=1 one has x1=3/2 and d(x1,x0)=1/2, so the a priori bound of The a priori bound d(x∗,xn)≤qnd(x1,x0)/(1−q) and the a posteriori bound d(x∗,xn+1)≤q d(xn+1,xn)/(1−q) reads ∣2−xn∣  ≤  (1/2)n⋅(1/2)1−1/2  =  (12)n, and the a posteriori bound reads ∣2−xn+1∣≤∣xn+1−xn∣.

Facts & Assumptions

Given: The interval X=[1,2] with the metric inherited from R, and f(x)=x/2+1/x for x∈X; reals x,y∈X.

[L3]

Every a≥0 has a unique a≥0 with (a)2=a, and ab=ab for a,b≥0, since both sides are nonnegative with the same square (Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}, Integer powers am).

[L4]

For a,b≥0: a≤b if and only if a2≤b2 (Squaring is monotone on the nonnegatives); and squares are nonnegative (Squares of nonzero elements are positive).

[L5]

Positivity of inverses, reversal of order under reciprocation, and multiplication of inequalities by positives (Inverses of positives are positive, and reciprocation reverses order, Sign rules for products and monotonicity of multiplication).

Verification

technique · direct
1.1

X is nonempty, since 1∈X; and X is sequentially closed in R, since a sequence in X converging to a real p has 1≤xk≤2 for every k and hence 1≤p≤2. So X is closed in R, and R is complete, so (X,d) is a nonempty complete metric space: claim 1.

L1L2
1.2

2 lies in X: 12=1≤2 and 22=4≥2, so 1≤2≤2.

L3L4
1.3

For x∈X one has x≥1>0, so f(x) is defined, and (x−2/x)2≥0 expands to x+2/x≥2x2/x=22; hence f(x)≥2≥1.

L3L4L5
1.4

For x,y∈X: f(x)−f(y)=x−y2+(1x−1y)=x−y2+y−xxy=(x−y)(12−1xy).

L5
2.1

Also 1≤x≤2 gives x/2≤1 and 1/x≤1, so f(x)≤2; with step 1.3 this puts f(x)∈[1,2]=X, which is claim 2.

step 1.2step 1.3L5
2.2

Since 1≤x,y≤2 we have 1≤xy≤4, hence 1/4≤1/(xy)≤1 and therefore −1/2≤1/2−1/(xy)≤1/4, so ∣1/2−1/(xy)∣≤1/2.

step 1.4L5
3.1

Consequently d(f(x),f(y))=∣x−y∣⋅∣1/2−1/(xy)∣≤12∣x−y∣=12d(x,y), so f is a contraction with constant q=1/2: claim 3.

step 1.4step 2.2L1L6
4.1

By claims 1 to 3 and Banach's theorem, f has exactly one fixed point in X and the iterates converge to it from every starting point.

step 1.1step 2.1step 3.1L6
5.1

For x∈X: f(x)=x is equivalent to x/2+1/x=x, hence to 1/x=x/2, hence to x2=2; since x>0 this holds exactly for x=2, which lies in X by step 1.2. So the fixed point is 2: claim 4.

step 1.2step 4.1L3L4L5
6.1

Taking x0=1 gives x1=f(1)=1/2+1=3/2 and d(x1,x0)=1/2; the a priori bound with q=1/2 therefore reads ∣2−xn∣≤(1/2)n(1/2)/(1−1/2)=(1/2)n, and the a posteriori bound reads ∣2−xn+1∣≤(1/2)∣xn+1−xn∣/(1−1/2)=∣xn+1−xn∣: claim 5.

step 3.1step 5.1L6∎

Remarks

  • No derivative is used anywhere. The contraction constant comes from the algebraic identity of step 1.4, f(x)−f(y)=(x−y)(1/2−1/(xy)), and from the bound 1≤xy≤4 that the interval supplies. This matters here: the mean value theorem, which is how this estimate is usually obtained, belongs to a later page of this library and is not available at this point.
  • The lower endpoint is what makes the estimate close. The bound ∣1/2−1/(xy)∣≤1/2 of step 2.2 needs xy≥1, and that is exactly what x,y≥1 supplies; on a set of small positive reals the factor 1/(xy) is large and the same computation gives nothing. The self-mapping property uses both endpoints: step 1.3 gives the lower bound 2 and step 2.1 the upper bound 2.
  • What the bounds say numerically. From x0=1 the a priori bound guarantees ∣2−xn∣≤2−n, so ten steps give an error at most 2−10. This is a guarantee, not the truth: the iteration is Newton's method for x2−2, and it converges far faster than the bound admits. The a posteriori bound of claim 5, which costs one subtraction, is what a computation would actually report.
  • The restriction to [1,2] is convenience, not necessity. On [1,∞) one still has x,y≥1, hence 0<1/(xy)≤1 and ∣1/2−1/(xy)∣≤1/2, so the same computation makes f a contraction with the same constant there, and step 1.3 already shows f maps [1,∞) into itself. The shorter interval is used only to keep the arithmetic of step 2.2 explicit.

Depends on

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