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Solution of A Recursively Defined Square-Root Sequence

problemprob:recursive-square-root-sequence-2026a
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Β· 2,944 chars Β· 8 deps Β· depth 12 Reason: First publication of the solution: induction gives the bounds and monotonicity, and passing to the limit in the recursion identifies the limit as two.

Induction gives the bounds and the monotonicity through the equivalence between an inequality of nonnegative numbers and the inequality of their squares; the monotone convergence theorem gives a limit LL, and passing to the limit in an+12=2+ana_{n+1}^2=2+a_n forces L=2L=2.

Proof

Throughout we use that, for every n∈Nn\in\mathbb{N}, the number an+1a_{n+1} satisfies 0≀an+10\le a_{n+1} and an+12=2+ana_{n+1}^2=2+a_n, which is what the definition of 2+an\sqrt{2+a_n} says.

Step 1: 0≀an<20\le a_n<2 for every n∈Nn\in\mathbb{N}. We argue by the principle of induction. For n=1n=1 we have a1=1a_1=1, so 0≀a10\le a_1 and a1<2a_1<2. Suppose 0≀an<20\le a_n<2. Then 0≀an+10\le a_{n+1}, and

an+12=2+an<2+2=4=2β‹…2.a_{n+1}^2=2+a_n<2+2=4=2\cdot 2 .

Since 0≀an+10\le a_{n+1} and 0≀20\le 2, clause 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field converts an+12<22a_{n+1}^2<2^2 into an+1<2a_{n+1}<2. Hence 0≀an+1<20\le a_{n+1}<2, completing the induction.

Step 2: an≀an+1a_n\le a_{n+1} for every n∈Nn\in\mathbb{N}. Fix nn. By Step 1, 0≀an<20\le a_n<2, so anβˆ’2<0a_n-2<0 and 0<1≀an+10<1\le a_n+1. By clause 4 of Elementary Order Arithmetic in an Ordered Field, anβˆ’2<0a_n-2<0 gives 0<βˆ’(anβˆ’2)0<-(a_n-2); by clause 5 of that lemma, 0<(βˆ’(anβˆ’2))(an+1)0<\bigl(-(a_n-2)\bigr)(a_n+1); and since (βˆ’(anβˆ’2))(an+1)=βˆ’((anβˆ’2)(an+1))\bigl(-(a_n-2)\bigr)(a_n+1)=-\bigl((a_n-2)(a_n+1)\bigr) by Elementary Arithmetic in an Ordered Field, clause 4 applied again yields

(anβˆ’2)(an+1)<0.(a_n-2)(a_n+1)<0 .

Expanding the left side using Elementary Arithmetic in an Ordered Field gives an2βˆ’anβˆ’2<0a_n^2-a_n-2<0, that is,

an2<2+an=an+12.a_n^2<2+a_n=a_{n+1}^2 .

Since 0≀an0\le a_n and 0≀an+10\le a_{n+1}, clause 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives an<an+1a_n<a_{n+1}; in particular an≀an+1a_n\le a_{n+1}.

Step 3: convergence. Let A={an:n∈N}A=\{a_n:n\in\mathbb{N}\}. By Step 1 every element of AA is at most 22, so AA is nonempty and bounded above, and by Step 2 the sequence satisfies an≀an+1a_n\le a_{n+1} for every nn. By clause 1 of A Bounded Monotone Sequence of Real Numbers Converges, L=sup⁑AL=\sup A exists and (an)(a_n) converges to LL. Since 22 is an upper bound for AA and LL is the least upper bound, L≀2L\le 2; and since a1=1a_1=1 lies in AA and LL is an upper bound, 1≀L1\le L.

Step 4: the shifted sequence converges to LL as well. Put bn=an+1b_n=a_{n+1} for n∈Nn\in\mathbb{N}. By the index-shift property recorded in The Real Line: Standing Notation and Background for Calculus §sequences, (bn)(b_n) converges to LL.

Step 5: identifying LL. By clause 2 of Arithmetic of Limits of Real Sequences applied to the sequence (bn)(b_n) and itself, the sequence (bn bn)=(bn2)(b_n\,b_n)=(b_n^2) converges to Lβ‹…L=L2L\cdot L=L^2. On the other hand, the constant sequence with value 22 converges to 22 by The Real Line: Standing Notation and Background for Calculus Β§sequences, so by clause 1 of Arithmetic of Limits of Real Sequences the sequence (2+an)(2+a_n) converges to 2+L2+L. But bn2=an+12=2+anb_n^2=a_{n+1}^2=2+a_n for every nn, so the two sequences are equal, and by the uniqueness of limits in clause 1 of Uniqueness of Limits and Boundedness of Convergent Real Sequences,

L2=2+L.L^2=2+L .

Rearranging with Elementary Arithmetic in an Ordered Field gives L2βˆ’Lβˆ’2=0L^2-L-2=0, that is, (Lβˆ’2)(L+1)=0(L-2)(L+1)=0. A field has no zero divisors, so Lβˆ’2=0L-2=0 or L+1=0L+1=0, that is, L=2L=2 or L=βˆ’1L=-1. By Step 3, 1≀L1\le L, so Lβ‰ βˆ’1L\ne -1. Therefore L=2L=2, that is,

lim⁑nβ†’βˆžan=2.\lim_{n\to\infty}a_n=2 .
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