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Arithmetic progression
Arithmetic progression
from Wikipedia
Proof without words of the arithmetic progression formulas using a rotated copy of the blocks.

An arithmetic progression, arithmetic sequence or linear sequence[1] is a sequence of numbers such that the difference from any succeeding term to its preceding term remains constant throughout the sequence. The constant difference is called common difference of that arithmetic progression. For instance, the sequence 5, 7, 9, 11, 13, 15, . . . is an arithmetic progression with a common difference of 2.

If the initial term of an arithmetic progression is and the common difference of successive members is , then the -th term of the sequence () is given by

A finite portion of an arithmetic progression is called a finite arithmetic progression and sometimes just called an arithmetic progression. The sum of a finite arithmetic progression is called an arithmetic series.

History

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According to an anecdote of uncertain reliability,[2] in primary school Carl Friedrich Gauss reinvented the formula for summing the integers from 1 through , for the case , by grouping the numbers from both ends of the sequence into pairs summing to 101 and multiplying by the number of pairs. Regardless of the truth of this story, Gauss was not the first to discover this formula. Similar rules were known in antiquity to Archimedes, Hypsicles and Diophantus;[3] in China to Zhang Qiujian; in India to Aryabhata, Brahmagupta and Bhaskara II;[4] and in medieval Europe to Alcuin,[5] Dicuil,[6] Fibonacci,[7] Sacrobosco,[8] and anonymous commentators of Talmud known as Tosafists.[9] Some find it likely that its origin goes back to the Pythagoreans in the 5th century BC.[10]

Sum

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2 + 5 + 8 + 11 + 14 = 40
14 + 11 + 8 + 5 + 2 = 40

16 + 16 + 16 + 16 + 16 = 80

Computation of the sum 2 + 5 + 8 + 11 + 14. When the sequence is reversed and added to itself term by term, the resulting sequence has a single repeated value in it, equal to the sum of the first and last numbers (2 + 14 = 16). Thus 16 × 5 = 80 is twice the sum.

The sum of the members of a finite arithmetic progression is called an arithmetic series. For example, consider the sum:

This sum can be found quickly by taking the number n of terms being added (here 5), multiplying by the sum of the first and last number in the progression (here 2 + 14 = 16), and dividing by 2:

In the case above, this gives the equation:

This formula works for any arithmetic progression of real numbers beginning with and ending with . For example,

Derivation

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Animated proof for the formula giving the sum of the first integers 1+2+...+n.

To derive the above formula, begin by expressing the arithmetic series in two different ways:

Rewriting the terms in reverse order:

Adding the corresponding terms of both sides of the two equations and halving both sides:

This formula can be simplified as:

Furthermore, the mean value of the series can be calculated via: :

The formula is essentially the same as the formula for the mean of a discrete uniform distribution, interpreting the arithmetic progression as a set of equally probable outcomes.

Product

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The product of the members of a finite arithmetic progression with an initial element a1, common differences d, and n elements in total is determined in a closed expression

where denotes the Gamma function. The formula is not valid when is negative or zero.

This is a generalization of the facts that the product of the progression is given by the factorial and that the product

for positive integers and is given by

Derivation

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where denotes the rising factorial.

By the recurrence formula , valid for a complex number ,

,
,

so that

for a positive integer and a positive complex number.

Thus, if ,

and, finally,

Examples

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Example 1

Taking the example , the product of the terms of the arithmetic progression given by up to the 50th term is

Example 2

The product of the first 10 odd numbers is given by

= 654,729,075

Standard deviation

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The standard deviation of any arithmetic progression is

where is the number of terms in the progression and is the common difference between terms. The formula is essentially the same as the formula for the standard deviation of a discrete uniform distribution, interpreting the arithmetic progression as a set of equally probable outcomes.

Intersections

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The intersection of any two doubly infinite arithmetic progressions is either empty or another arithmetic progression, which can be found using the Chinese remainder theorem. If each pair of progressions in a family of doubly infinite arithmetic progressions have a non-empty intersection, then there exists a number common to all of them; that is, infinite arithmetic progressions form a Helly family.[11] However, the intersection of infinitely many infinite arithmetic progressions might be a single number rather than itself being an infinite progression.

Amount of arithmetic subsets of length k of the set {1,...,n}

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Let denote the number of arithmetic subsets of length one can make from the set and let be defined as:

Then:

As an example, if , one expects arithmetic subsets and, counting directly, one sees that there are 9; these are

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
An arithmetic progression, also known as an arithmetic , is a of numbers in which the difference between consecutive terms is constant, referred to as the common difference dd. This constant difference distinguishes arithmetic progressions from other types of s, such as geometric progressions, where terms are multiplied by a fixed . The general form of an arithmetic progression begins with a first term a1a_1 (or simply aa), followed by terms generated by adding dd successively: a,a+d,a+2d,a, a + d, a + 2d, \dots. The nnth term of the is given by the formula an=a+(n1)da_n = a + (n-1)d, which allows for the identification of any term based on its position. For the sum of the first nn terms, denoted SnS_n, two equivalent formulas are commonly used: Sn=n2[2a+(n1)d]S_n = \frac{n}{2} [2a + (n-1)d] or Sn=n2(a+an)S_n = \frac{n}{2} (a + a_n), facilitating calculations for finite s. Arithmetic progressions have been recognized since ancient times, with early examples appearing in the Rhind Papyrus (c. 1550 BCE), where they were used in practical computations such as dividing grain among workers. In modern mathematics, they form a foundational concept in and are extensively applied in fields such as —for instance, in studying primes within arithmetic progressions—and in real-world scenarios like for annuities and loan repayments. Their simplicity and linear structure make them essential for understanding more complex sequences and series in .

Fundamentals

Definition

An arithmetic progression is a sequence of numbers such that the difference between any two successive members of the sequence is a constant. Formally, a sequence {ak}\{a_k\} where k=1,2,,nk = 1, 2, \dots, n is an arithmetic progression if there exists a constant dd (called the common difference) such that ak+1ak=da_{k+1} - a_k = d for all kk. This distinguishes it from a geometric progression, in which the ratio between successive terms remains constant rather than the difference. Arithmetic progressions may be finite, consisting of a limited number of terms, or infinite, extending indefinitely. However, an infinite arithmetic progression does not converge to a finite limit unless d=0d = 0, in which case it is a constant . As a fundamental type of , arithmetic progressions provide essential groundwork for studying broader concepts in sequences and series.

Notation and Examples

In standard mathematical notation, an arithmetic progression (AP) is typically denoted by its first term aa (or sometimes a1a_1) and common difference dd, with the general term given by an=a+(n1)da_n = a + (n-1)d for the nnth term, where nn is a positive integer. This notation allows for concise description of the sequence's terms, emphasizing the linear increase or decrease by the fixed difference dd. Consider a simple finite AP: 2, 5, 8, 11, where a=2a = 2 and d=3d = 3. Here, each term is obtained by adding 3 to the previous one, illustrating a positive common difference that generates increasing values. For a decreasing sequence, take 10, 7, 4, with a=10a = 10 and d=3d = -3, showing how a negative dd produces successively smaller terms. A constant sequence, such as 5, 5, 5, ..., arises when d=0d = 0, where all terms remain identical regardless of position. To visualize an AP, the terms can be arranged in a table showing the index, term value, and cumulative effect of the common difference:
Index nnTerm ana_nCalculation
12a+(11)d=2a + (1-1)d = 2
252+3=52 + 3 = 5
385+3=85 + 3 = 8
4118+3=118 + 3 = 11
This tabular form highlights the consistent addition of dd across terms, aiding intuition for the progression's structure. In real-world contexts, arithmetic progressions model evenly spaced events, such as dates occurring every fixed interval (e.g., biweekly paydays on the 1st and 15th of each month, with a=1a = 1, d=14d = 14) or appointments scheduled at regular time gaps. Another example is the cumulative heights in a staircase with uniform riser heights. If each step increases the height by a fixed amount, such as 0.2 m, the total height after each step forms an arithmetic sequence: 0.2 m, 0.4 m, 0.6 m, etc., where the first term a=0.2a = 0.2 m and the common difference d=0.2d = 0.2 m. This demonstrates how the cumulative height increases linearly due to the uniform increments per step.

Core Formulas

nth Term

The nth term of an arithmetic progression, denoted ana_n, is given by the explicit an=a1+(n1)d,a_n = a_1 + (n-1)d, where a1a_1 is the first term, nn is the term number, and dd is the common difference. This formula arises from the recursive definition of the sequence, where each subsequent term is obtained by adding the common difference to the previous term: ak+1=ak+da_{k+1} = a_k + d for k=1,2,k = 1, 2, \dots. Unfolding the recursion step by step yields a2=a1+da_2 = a_1 + d, a3=a2+d=a1+2da_3 = a_2 + d = a_1 + 2d, a4=a3+d=a1+3da_4 = a_3 + d = a_1 + 3d, and in general, an=a1+(n1)da_n = a_1 + (n-1)d. The formula can be rigorously established using mathematical induction on nn. For the base case n=1n=1, a1=a1+(11)d=a1a_1 = a_1 + (1-1)d = a_1, which holds. Assume the statement is true for n=kn = k, so ak=a1+(k1)da_k = a_1 + (k-1)d. For the inductive step, consider n=k+1n = k+1: ak+1=ak+d=[a1+(k1)d]+d=a1+kd=a1+((k+1)1)d.a_{k+1} = a_k + d = [a_1 + (k-1)d] + d = a_1 + kd = a_1 + ((k+1)-1)d. Thus, the formula holds for n=k+1n = k+1. By the principle of mathematical induction, it is true for all positive integers n1n \geq 1. Rearranging the formula allows solving for other parameters. For instance, the common difference is d=ana1n1d = \frac{a_n - a_1}{n-1} for [n>1](/page/N+1)[n > 1](/page/N+1), and the term number nn can be found as n=1+ana1dn = 1 + \frac{a_n - a_1}{d} assuming d0d \neq 0.

Common Difference

In an arithmetic progression (AP), the common difference dd is the constant value by which each term differs from the preceding one, ensuring uniform spacing throughout the sequence. To identify dd from a given sequence, subtract the first term from the second: d=a2a1d = a_2 - a_1, where a1a_1 and a2a_2 are the initial terms. For sequences with more than two terms, compute the differences between all consecutive pairs and verify their consistency; if all differences equal the same value, the sequence forms an AP with that common difference dd. The sign of dd determines the progression's direction: if d>0d > 0, the sequence is strictly increasing; if d<0d < 0, it is strictly decreasing; and if d=0d = 0, the sequence is constant, with all terms identical. This property directly relates to the sequence's monotonicity, as the constant difference preserves the order of terms without reversals or irregularities. A key characteristic of APs is the arithmetic mean property, where the average of any two terms equals the term at the midpoint position between them, provided the terms are equally spaced by dd. For instance, the mean of terms ama_m and ana_n (with m<nm < n) is the term aka_k where k=(m+n)/2k = (m + n)/2, reflecting the linear interpolation inherent in the progression. Any finite AP of length nn is uniquely determined by its first term a1a_1, the common difference dd, and the number of terms nn, as these parameters fix all subsequent terms without ambiguity. This uniqueness stems from the recursive construction of the sequence, where each term is generated solely from the prior one via addition of dd.

Sums

Sum Formula

The sum SnS_n of the first nn terms of a finite arithmetic progression, with first term a1a_1 and common difference dd, is given by the closed-form formula Sn=n2(a1+an),S_n = \frac{n}{2} (a_1 + a_n), where ana_n denotes the nnth term of the progression. This expression leverages the fact that the terms are equally spaced, allowing the total to be computed directly from the endpoints. An equivalent form substitutes the expression for the nnth term, an=a1+(n1)da_n = a_1 + (n-1)d, yielding Sn=n2[2a1+(n1)d].S_n = \frac{n}{2} [2a_1 + (n-1)d]. Both versions represent nn times the average of the first and last terms, highlighting the progression's linear symmetry. Special cases arise when the progression consists of consecutive integers or multiples thereof. For the sum of the first nn natural numbers (where a1=1a_1 = 1 and d=1d = 1), the formula simplifies to Sn=n(n+1)2S_n = \frac{n(n+1)}{2}. The sum of the first nn even positive integers (sequence starting at 2 with d=2d = 2) is Sn=n(n+1)S_n = n(n+1). Similarly, the sum of the first nn odd positive integers (starting at 1 with d=2d = 2) equals n2n^2. This formula provides computational efficiency by enabling direct evaluation in constant time, independent of nn, rather than requiring iterative addition of all terms, which scales linearly with the sequence length.

Derivation

One common way to derive the sum formula is by pairing terms from the beginning and end of the sequence. Write the sum twice: once forward Sn=a1+(a1+d)++anS_n = a_1 + (a_1 + d) + \cdots + a_n and once backward Sn=an+(and)++a1S_n = a_n + (a_n - d) + \cdots + a_1. Adding these gives 2Sn=n(a1+an)2S_n = n(a_1 + a_n), so Sn=n2(a1+an)S_n = \frac{n}{2} (a_1 + a_n). Substituting an=a1+(n1)da_n = a_1 + (n-1)d yields the alternative form Sn=n2[2a1+(n1)d]S_n = \frac{n}{2} [2a_1 + (n-1)d]. Alternatively, the formula can be proved by mathematical induction. For the base case n=1n=1, S1=a1S_1 = a_1, which holds. Assume true for n=kn=k: Sk=k2[2a1+(k1)d]S_k = \frac{k}{2} [2a_1 + (k-1)d]. For n=k+1n=k+1, Sk+1=Sk+ak+1=k2[2a1+(k1)d]+[a1+kd]S_{k+1} = S_k + a_{k+1} = \frac{k}{2} [2a_1 + (k-1)d] + [a_1 + k d]. Simplifying gives Sk+1=k+12[2a1+kd]S_{k+1} = \frac{k+1}{2} [2a_1 + k d], confirming the formula.

Applications

In physics, arithmetic progressions are commonly applied to model the motion of objects under uniform acceleration, where the distances traveled in successive equal time intervals form an arithmetic sequence. For instance, in uniformly accelerated motion starting from rest, the distance covered in the first interval is 12at2\frac{1}{2} a t^2, in the second 32at2\frac{3}{2} a t^2, and so on, with a common difference of at2a t^2, allowing the total distance ss over nn intervals to be computed as the sum of this progression. This sum yields the formula s=n2(u+v)s = \frac{n}{2} (u + v), where uu is the initial velocity and vv is the final velocity after nn intervals, providing a direct way to determine displacement without integrating velocity over time. In finance, the sum of an arithmetic progression calculates the total savings accumulated from equal periodic deposits into an account, assuming no interest or simple interest accrual. For equal instalments, the cumulative balance at the end of each period forms an arithmetic sequence, where each deposit adds a constant amount to the previous balance, and the total savings after nn periods is S=n2[2a+(n1)d]S = \frac{n}{2} [2a + (n-1)d], with aa as the initial deposit and d=0d = 0 for fixed amounts, simplifying to S=naS = n a. Similarly, for loan repayments structured as equal payments, the total amount repaid over time follows this summation when payments are constant, aiding in budgeting the principal and interest portions without compounding effects dominating. In computer science, sums of arithmetic progressions appear in the average-case analysis of algorithms exhibiting linear growth, such as , where the expected number of comparisons for inserting the kk-th element into a sorted list averages k+12\frac{k+1}{2}, and the total over nn elements is the sum of this arithmetic sequence, yielding O(n2)O(n^2) time complexity. This summation technique quantifies resource usage, like memory or operations, in scenarios where costs accumulate linearly across iterations, enabling efficient performance predictions for data processing tasks. Everyday applications of arithmetic progression sums include calculating total costs for tiered ticket pricing at events, where prices increase by a fixed amount per section, such as concert rows starting at $100 and rising by $50 each row, allowing the overall revenue from sold seats to be found via the progression sum. In sports, cumulative scores often form arithmetic sequences with a common difference of one point per play, as in volleyball sets where points add sequentially up to 25, and the total points across matches or innings can be summed to assess team performance or season totals efficiently. Another common example is the cumulative height gained when ascending a staircase with uniform riser heights, which forms an arithmetic sequence. For instance, if each step is 0.2 m high, the heights reached after each step are 0.2 m, 0.4 m, 0.6 m, and so on, with a common difference of 0.2 m; the total height after nn steps is the sum of this progression.

Products

Product Formula

The product of the terms in a finite arithmetic progression (AP) with first term aa, common difference d0d \neq 0, and nn terms is given by Pn=k=0n1(a+kd)=dn(ad)(n),P_n = \prod_{k=0}^{n-1} (a + k d) = d^n \left( \frac{a}{d} \right)^{(n)}, where (x)(n)\left( x \right)^{(n)} denotes the rising factorial (or Pochhammer symbol) defined as (x)(n)=x(x+1)(x+n1)\left( x \right)^{(n)} = x (x+1) \cdots (x+n-1) for positive integer nn. This rising factorial can be expressed in closed form using the gamma function as (x)(n)=Γ(x+n)Γ(x),\left( x \right)^{(n)} = \frac{\Gamma(x + n)}{\Gamma(x)}, provided that xx is not a non-positive integer where the gamma function has poles; thus, the general product formula becomes Pn=dnΓ(ad+n)Γ(ad).P_n = d^n \frac{\Gamma\left( \frac{a}{d} + n \right)}{\Gamma\left( \frac{a}{d} \right)}. This expression generalizes the product to cases where a/da/d may not be an integer, using the gamma function's extension of the factorial beyond positive integers. For APs consisting of positive integers, such as consecutive integers starting from 1 (i.e., a=1a=1, d=1d=1), the product simplifies to the factorial Pn=n!P_n = n!, since Γ(n+1)=n!\Gamma(n+1) = n! for positive integer nn. More generally, for an AP of consecutive integers starting from a positive integer mm (i.e., m,m+1,,m+n1m, m+1, \dots, m+n-1), the product is the ratio of factorials Pn=(m+n1)!(m1)!P_n = \frac{(m+n-1)!}{(m-1)!}. In cases where the AP terms are integers but not necessarily starting from 1, the product often involves ratios of factorials or shifted factorials, aligning with the gamma expression when a/da/d is integer. However, a simple closed form without special functions may not exist for arbitrary non-integer starting points or differences, as the gamma function is generally required for compactness; numerical evaluation or approximation may be needed otherwise. If the AP includes a zero term (i.e., a+kd=0a + k d = 0 for some integer kk with 0k<n0 \leq k < n), the product is trivially zero. Additionally, for APs symmetric around their mean, such as those with an odd number of terms centered at zero (e.g., m,m+d,,m-m, -m+d, \dots, m), the product may exhibit sign alternations or specific symmetries, but the gamma-based formula still applies provided no poles are encountered. The product of an AP is closely related to when the common difference d=1d=1 and aa is a positive integer, as (a+n1n)=(a)(n)n!=Pn/1nn!\binom{a+n-1}{n} = \frac{(a)^{(n)}}{n!} = \frac{P_n / 1^n}{n!}, linking it to combinatorial selections in higher dimensions or multiset coefficients.

Derivation

The product Pn=k=0n1(a1+kd)P_n = \prod_{k=0}^{n-1} (a_1 + k d) of the first nn terms of an arithmetic progression with initial term a1a_1 and common difference dd (assuming d0d \neq 0 and terms such that the gamma function is defined) can be derived using the properties of the rising factorial, or Pochhammer symbol. Factoring out dnd^n, the product becomes Pn=dnk=0n1(a1d+k)=dn(a1d)nP_n = d^n \prod_{k=0}^{n-1} \left( \frac{a_1}{d} + k \right) = d^n \left( \frac{a_1}{d} \right)_n, where (z)n(z)_n denotes the Pochhammer symbol. The Pochhammer symbol is defined as the finite product (z)n=z(z+1)(z+n1)(z)_n = z (z+1) \cdots (z + n - 1) for positive integer nn, and it satisfies the relation (z)n=Γ(z+n)Γ(z)(z)_n = \frac{\Gamma(z + n)}{\Gamma(z)} for complex zz not a non-positive integer, where Γ\Gamma is the . This identity follows iteratively from the functional equation of the gamma function, Γ(z+1)=zΓ(z)\Gamma(z + 1) = z \Gamma(z), applied nn times: starting from Γ(z+n)=(z+n1)Γ(z+n1)==(z+n1)z Γ(z)\Gamma(z + n) = (z + n - 1) \Gamma(z + n - 1) = \cdots = (z + n - 1) \cdots z \ \Gamma(z), yielding the ratio form. Substituting this expression gives the closed-form Pn=dnΓ(a1d+n)Γ(a1d)P_n = d^n \frac{\Gamma\left( \frac{a_1}{d} + n \right)}{\Gamma\left( \frac{a_1}{d} \right)}. In the special case of consecutive positive integers, where a1=1a_1 = 1 and d=1d = 1, the product simplifies to Pn=12n=n!P_n = 1 \cdot 2 \cdots n = n!. This aligns with the gamma function property Γ(n+1)=n!\Gamma(n + 1) = n! for positive integer nn, since Γ(1+n)Γ(1)=Γ(n+1)=n!\frac{\Gamma(1 + n)}{\Gamma(1)} = \Gamma(n + 1) = n! (noting Γ(1)=1\Gamma(1) = 1). The derivation reduces directly to the factorial via the same iterative application of the gamma recurrence. An alternative approach to analyzing the product involves taking the natural logarithm: lnPn=k=0n1ln(a1+kd)\ln P_n = \sum_{k=0}^{n-1} \ln(a_1 + k d). This sum is exact but typically not closed-form without special functions; however, for large nn, it can be approximated by the integral 0nln(a1+xd)dx=1d[(a1+xd)ln(a1+xd)(a1+xd)]0n\int_0^n \ln(a_1 + x d) \, dx = \frac{1}{d} \left[ (a_1 + x d) \ln(a_1 + x d) - (a_1 + x d) \right]_0^n, providing asymptotic behavior. The gamma function representation offers an exact expression, with Stirling's approximation lnΓ(z)(z1/2)lnzz+12ln(2π)\ln \Gamma(z) \approx (z - 1/2) \ln z - z + \frac{1}{2} \ln(2\pi) applicable for large z|z| in special cases like integer arguments, yielding precise large-nn estimates for lnPn\ln P_n.

Examples

A simple example of the product of terms in an arithmetic progression is the sequence 1, 3, 5, which has a common difference of 2; the product is 1×3×5=151 \times 3 \times 5 = 15. Another basic case is the progression 2, 5, 8 with common difference 3, yielding a product of 2×5×8=802 \times 5 \times 8 = 80. For a larger instance, consider the first five odd numbers forming the arithmetic progression 1, 3, 5, 7, 9 with common difference 2; their product is 1×3×5×7×9=9451 \times 3 \times 5 \times 7 \times 9 = 945, which aligns with verification using the product formula for arithmetic progressions. Non-integer terms also form valid arithmetic progressions, such as 0.5, 1.5, 2.5 with common difference 1; the product is 0.5×1.5×2.5=1.8750.5 \times 1.5 \times 2.5 = 1.875. These products exhibit patterns with combinatorial significance; for instance, the product of the first nn odd numbers equals the double factorial (2n1)!!(2n-1)!!, which counts the number of perfect matchings in a complete graph with 2n2n vertices and appears in permutation enumerations and series expansions.

Statistical Properties

Standard Deviation

The standard deviation of the terms in a finite arithmetic progression quantifies the dispersion around the arithmetic mean of the sequence. For a finite arithmetic progression consisting of nn terms with common difference dd, the standard deviation σ\sigma is given by σ=d2n213.\sigma = \frac{|d|}{2} \sqrt{\frac{n^2 - 1}{3}}.
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