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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Sparse Gaussian scalar certificate and extremal profile
Statement
Let , , , , and . For define Both and are positive, and for every , with equality at . The function is continuous and strictly increasing onto its target. Put For , its endpoint asymptotics are There is a constant depending only on the parameters such that The following improper integrals are finite and positive: and .
All coordinate indices below are positive integers; is a scale parameter, not a coordinate. For positive real , set and for . Then , and for every finite real vector , As , the Riemann sums of the five displayed integral integrands, divided by , converge to their respective integrals. In particular,
Let , , and define the relaxed extremal value Choose by Whenever , , , and , one has . Writing this gives The sufficient condition , is equivalent to The free coefficients need not be at most one. The upper bound on is realized asymptotically by finitely supported feasible pairs, constructed by truncating the profile to compact coordinate windows and adjusting . No probability statement or unrestricted all-radius power asymptotic is asserted.
Statement references
Facts & Assumptions
Given: The positive parameters, scalar functions, profiles, integrals, and extremal problem in the Statement. All improper integrals and nonnegative series are interpreted as increasing limits of finite truncations.
The real exponential function and the number by a power series, The exponential series converges absolutely for every real argument, and The six hyperbolic functions and their natural domains give absolutely convergent exponential and hyperbolic series. Inside its radius a real power series may be differentiated term by term, and the differentiated series has the same radius permits their differentiation on compact real intervals.
Addition formulas, identities, parity, and derivatives of the hyperbolic functions gives the hyperbolic identities, derivatives, and exponential representations. The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents and Continuity and derivatives of positive-base real powers give positive-base real-power arithmetic, continuity, and differentiation.
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and supplies values of a continuous function between its endpoint values, without an additional choice assumption.
Continuous functions have an oriented Riemann integral supplies the Riemann integral, comparison, and compact-interval upper and lower sums for continuous functions.
The Cauchy-Schwarz inequality for finite sums supplies Cauchy–Schwarz for every finite real array; inequalities for nonnegative infinite series follow by increasing finite truncations.
Proof
Put . The hyperbolic series give Every coefficient is positive because . Replacing by makes only the first coefficient zero and leaves every later coefficient positive. The positive denominators in therefore prove .
For fixed and , put . Differentiation and the absolutely convergent series show that This expression is strictly increasing in : its terms with have strictly positive coefficients and positive powers. It is zero at by the definition of . Consequently decreases to and increases after . Direct substitution gives , so . Evenness proves the assertion for negative , and direct substitution proves equality at .
The quotient representation of in the Statement is continuous. To prove strict increase, write its numerator series before the factor as and its denominator as , where and . The ratios strictly increase with . Pairing terms with indices in gives positive multiples of , so this derivative numerator is positive for . The products and paired sums are justified first for finite partial sums and then by absolute convergence on compact intervals. Thus is strictly increasing; multiplying it by the positive strictly increasing function proves that is strictly increasing.
The first nonzero numerator and denominator terms are and , respectively. Hence The exponential representations instead give as , since the ratio of its two bracketed expressions tends to one. Thus its endpoint limits are zero and infinity. Strict increase and [F3] give exactly one inverse value at each positive target. The inverse is continuous: values on either side of its value have images on either side of the target, which is the epsilon-delta criterion for the inverse at that target. The inverse power asymptotics follow by trapping between times its stated positive leading power and then taking the corresponding positive roots.
Expanding at zero gives , so . At infinity, , so . Combining these with the inverse asymptotics in step 3.1 proves all endpoint formulas for and . In particular is comparable to at infinity. The functions and have finite limits at zero and infinity; continuity bounds them also on the intervening compact interval. Similarly is bounded for , proving the three global bounds.
The definitions give and , since and . Also . Thus Near zero the integrands for are asymptotic to positive constants times , , and , respectively; those for have respective exponents and . All these exponents exceed . At infinity each integrand is bounded by for suitable positive and some nonnegative . This envelope is integrable: choosing an integer with and using bounds it by a constant times for large . The integral of on is by the compact fundamental theorem in [F4], and is bounded as . The small- power bounds likewise integrate to when . Compact intervals are covered by [F4]. The five improper integrals therefore exist, are finite, and are positive. Integrating the pointwise identity proves .
For fixed , the large- bound makes finite by comparison with a convergent power tail. There are only finitely many remaining indices, including those close to zero. Multiplying the pointwise inequality of step 2.1 by and using and proves the finite-vector scalar certificate in the Statement. This argument places no upper bound on the score coefficient .
Let be any of the five integral integrands in step 5.1. On a fixed , its mesh- sums converge to its integral by trapping the sums between compact-interval upper and lower sums from [F4]; the two endpoint pieces have lengths at most and bounded values. For small , with one of the positive exponents in step 5.1, so At infinity use the envelope , increasing if necessary. Its derivative has the sign of , so it is eventually decreasing. Consequently its discrete tail is bounded by its integral tail plus one mesh term. First let , then and . These two tail bounds prove the five full Riemann limits. Substituting gives all five scaled sum equivalents, irrespective of how the positive factor varies with .
The two scaling equations have the unique positive solution Let . Step 6.2 gives whenever . For any feasible relaxed pair of finite cost , expansion of the positive kernel gives Apply [F5] to the arrays with entries and for finitely many , and increase the truncations. It follows that This is a deterministic kernel inequality, with no Gaussian probability space.
Multiply the scalar certificate in step 2.1 at by and sum up to an index . Step 7.1 bounds the left side by , and the partial budget is at most . The partial energy is therefore bounded above independently of by the resulting inequality, so its full sum is finite. Increasing now yields Thus every finite-cost feasible pair has , and infinite-cost pairs do not lower the infimum. Hence .
Fix numbers and . Write for the integral defining restricted to , for . These constants are positive. Choose from Division gives For this fixed window and margin these ratios are fixed positive constants. Hence and under the claimed hypotheses.
Put and when , and set both to zero otherwise. There are finitely many nonzero coordinates. The compact-window maximum of is finite, so eventually . Compact Riemann convergence gives actual energy and actual budget , hence eventual feasibility. Its cost divided by tends to As , , and , this expression tends to one by step 5.1 and the explicit ratios in step 8.2. For any fixed positive tolerance one may first fix a sufficiently wide window and small margin, and then take sufficiently small . This proves without choosing an infinite family of windows. With step 8.1 it proves . In particular, no untruncated claim that has been used.
Substituting the value of from step 7.1 into gives Since , this is precisely the stated power with exponents and . Similarly for a parameter-only , so is equivalent to . Finally Thus this condition also forces by the formula for , while and plainly include . This proves the asserted equivalence, the restricted power asymptotic, and all remaining claims.
Depends on
- The real exponential function and the number $e$ by a power series
- The six hyperbolic functions and their natural domains
- The exponential series converges absolutely for every real argument
- Inside its radius a real power series may be differentiated term by term, and the differentiated series has the same radius
- Addition formulas, identities, parity, and derivatives of the hyperbolic functions
- The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents
- Continuity and derivatives of positive-base real powers
- Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on $[a,b]$ takes every value between $f(a)$ and $f(b)$
- Continuous functions have an oriented Riemann integral
- The Cauchy-Schwarz inequality for finite sums
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