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Linear combination

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458: 4468: 4732: 999: 3698:. Similarly, one can consider affine combinations, conical combinations, and convex combinations to correspond to the sub-operads where the terms sum to 1, the terms are all non-negative, or both, respectively. Graphically, these are the infinite affine hyperplane, the infinite hyper-octant, and the infinite simplex. This formalizes what is meant by 2831: 3840:
is a noncommutative ring, then the concept still generalizes, with one caveat: since modules over noncommutative rings come in left and right versions, our linear combinations may also come in either of these versions, whatever is appropriate for the given module. This is simply a matter of doing
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The basic operations of addition and scalar multiplication, together with the existence of an additive identity and additive inverses, cannot be combined in any more complicated way than the generic linear combination: the basic operations are a
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when they do. Allowing more linear combinations in this case can also lead to a different concept of span, linear independence, and basis. The articles on the various flavors of topological vector spaces go into more detail about these.
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always forms a subspace". However, one could also say "two different linear combinations can have the same value" in which case the reference is to the expression. The subtle difference between these uses is the essence of the notion of
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From this point of view, we can think of linear combinations as the most general sort of operation on a vector space – saying that a vector space is an algebra over the operad of linear combinations is precisely the statement that
994:{\displaystyle {\begin{aligned}(a_{1},a_{2},a_{3})&=(a_{1},0,0)+(0,a_{2},0)+(0,0,a_{3})\\&=a_{1}(1,0,0)+a_{2}(0,1,0)+a_{3}(0,0,1)\\&=a_{1}\mathbf {e} _{1}+a_{2}\mathbf {e} _{2}+a_{3}\mathbf {e} _{3}.\end{aligned}}} 296:
There is some ambiguity in the use of the term "linear combination" as to whether it refers to the expression or to its value. In most cases the value is emphasized, as in the assertion "the set of all linear combinations of
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All of these concepts are usually defined as subsets of an ambient vector space (except for affine spaces, which are also considered as "vector spaces forgetting the origin"), rather than being axiomatized independently.
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instead of a field, then everything that has been said above about linear combinations generalizes to this case without change. The only difference is that we call spaces like this
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Linear and affine combinations can be defined over any field (or ring), but conical and convex combination require a notion of "positive", and hence can only be defined over an
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of vector subspaces: a vector subspace is also an affine subspace, a convex cone, and a convex set, but a convex set need not be a vector subspace, affine, or a convex cone.
3400: 3341: 3436: 3289: 487: 3609: 2826:{\displaystyle \operatorname {span} (\mathbf {v} _{1},\ldots ,\mathbf {v} _{n}):=\{a_{1}\mathbf {v} _{1}+\cdots +a_{n}\mathbf {v} _{n}:a_{1},\ldots ,a_{n}\in K\}.} 2543: 326:(as value) is uniquely so (as expression). In any case, even when viewed as expressions, all that matters about a linear combination is the coefficient of each 4298: 4326: 3872: 1791: 4717: 1636: 4253: 4231: 4212: 4186: 3553:, so only finitely many terms are non-zero; this corresponds to only taking finite sums), which parametrizes linear combinations: the vector 1961: 1116: 2502:{\displaystyle {\begin{aligned}&0x^{3}+a_{3}x^{2}+(a_{2}+a_{3})x+(a_{1}+a_{2}+a_{3})\\={}&1x^{3}+0x^{2}+0x+(-1).\end{aligned}}} 335:; trivial modifications such as permuting the terms or adding terms with zero coefficient do not produce distinct linear combinations. 2107: 509: 1506: 4170: 3051: 4707: 4669: 4605: 31: 4204: 2982:{\displaystyle \mathbf {v} =\sum _{i}a_{i}\mathbf {v} _{i}=\sum _{i}b_{i}\mathbf {v} _{i}{\text{ where }}a_{i}\neq b_{i}.} 1475:? To find out, consider an arbitrary linear combination of these vectors and try to see when it equals the desired vector 4447: 4319: 470: 4552: 4402: 3468:
are closed under convex combination (they form a convex set), but not conical or affine combinations (or linear), and
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is the image of a simplex. Here suboperads correspond to more restricted operations and thus more general theories.
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Ultimately, this fact lies at the heart of the usefulness of linear combinations in the study of vector spaces.
491: 286:{\displaystyle a_{1}\mathbf {v} _{1}+a_{2}\mathbf {v} _{2}+a_{3}\mathbf {v} _{3}+\cdots +a_{n}\mathbf {v} _{n}.} 4689: 3763: 3465: 3464:
These concepts often arise when one can take certain linear combinations of objects, but not any: for example,
50: 385:, where both the coefficients and the vectors are unspecified, except that the vectors must belong to the set 2101:
is also −1. Therefore, the only possible way to get a linear combination is with these coefficients. Indeed,
4756: 4735: 4442: 4312: 3523: 3354: 428:; each individual linear combination will only involve finitely many vectors. Also, there is no reason that 3813: + ⋯, going on forever. Such infinite linear combinations do not always make sense; we call them 85:
and related fields of mathematics. Most of this article deals with linear combinations in the context of a
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operations, more subsets will be closed under them, so affine subsets, convex cones, and convex sets are
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of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of
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By restricting the coefficients used in linear combinations, one can define the related concepts of
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may be specified explicitly, or they may be obvious from context. In that case, we often speak of
4196: 3372: 3365: 3313: 3251: 3185: 3177: 3129: 3691:{\displaystyle 2\mathbf {v} _{1}+3\mathbf {v} _{2}-5\mathbf {v} _{3}+0\mathbf {v} _{4}+\cdots } 3490:
If one allows only scalar multiplication, not addition, one obtains a (not necessarily convex)
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being or the standard simplex being model spaces, and such observations as that every bounded
3405: 3258: 315: 54: 4615: 4519: 4372: 4174: 3826: 3469: 584: 17: 4674: 4467: 4427: 4417: 3728: 3494:; one often restricts the definition to only allowing multiplication by positive scalars. 3293: 3214: 544: 436:; in that case, we declare by convention that the result of the linear combination is the 2522: 322:
of vectors is linearly independent precisely if any linear combination of the vectors in
2863:, a single vector can be written in two different ways as a linear combination of them: 4679: 4664: 4600: 4335: 4241: 3744: 3473: 1952: 1098: 1018: 82: 4750: 4712: 4635: 4595: 4562: 4542: 4162: 3513: 3507: 3480: 2512:
However, when we set corresponding coefficients equal in this case, the equation for
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Linear Combinations and Span: Understanding linear combinations and spans of vectors
4645: 4534: 4484: 4377: 4270: 4037: 3484: 3137:. Similarly, we can speak of linear dependence or independence of an arbitrary set 405:); in this case one is probably referring to the expression, since every vector in 118: 106: 86: 3472:
are closed under conical combination but not affine or linear – hence one defines
4625: 4590: 4547: 4392: 3345: 2625: 2586: 536: 437: 38: 4654: 4397: 4178: 3440: 3299: 1401: 433: 413: 3952:{\displaystyle a_{1}\mathbf {v} _{1}b_{1}+\cdots +a_{n}\mathbf {v} _{n}b_{n}} 1941:{\displaystyle a_{3}x^{2}+(a_{2}+a_{3})x+(a_{1}+a_{2}+a_{3})=1x^{2}+0x+(-1).} 4452: 1040: 1307:. To see this, suppose that 3 could be written as a linear combination of 4620: 3849: 425: 2548:
which is always false. Therefore, there is no way for this to work, and
1771:{\displaystyle (a_{1})+(a_{2}x+a_{2})+(a_{3}x^{2}+a_{3}x+a_{3})=x^{2}-1} 3445: 3358: 2066:{\displaystyle a_{3}=1,\quad a_{2}+a_{3}=0,\quad a_{1}+a_{2}+a_{3}=-1.} 1193:{\displaystyle \cos t={\tfrac {1}{2}}\,e^{it}+{\tfrac {1}{2}}\,e^{-it}} 2276: − 1? If we try to make this vector a linear combination of 165:
linear combination of those vectors with those scalars as coefficients
4630: 397:, where nothing is specified (except that the vectors must belong to 374: 365:, with the coefficients unspecified (except that they must belong to 3188:, and the associated notions of sets closed under these operations. 424:
that the vectors are taken from (if one is mentioned) can still be
2094:, which comes out to −1. Finally, the last equation tells us that 4304: 2297:, then following the same process as before, we get the equation 2080:
can easily be solved. First, the first equation simply says that
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are constants). The concept of linear combinations is central to
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algebraic operations in a vector space are linear combinations.
4308: 3866:. In that case, the most general linear combination looks like 2230:{\displaystyle x^{2}-1=-1-(x+1)+(x^{2}+x+1)=-p_{1}-p_{2}+p_{3}} 1955:
their corresponding coefficients are equal, so we can conclude
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linear combinations of these vectors. This set is called the
1620:{\displaystyle a_{1}(1)+a_{2}(x+1)+a_{3}(x^{2}+x+1)=x^{2}-1.} 93:, with some generalizations given at the end of the article. 3101:{\displaystyle \mathbf {0} =\sum _{i}c_{i}\mathbf {v} _{i}.} 412:
Note that by definition, a linear combination involves only
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Lay, David C.; Lay, Steven R.; McDonald, Judi J. (2016).
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is 1. Knowing that, we can solve the second equation for
3408: 3261: 1162: 1133: 3875: 3704: 3612: 3559: 3526: 3375: 3316: 3224: 3054: 2998: 2872: 2674: 2525: 2306: 2110: 1964: 1794: 1639: 1509: 1209: 1119: 649: 176: 4140: 4116: 1315:. This means that there would exist complex scalars 1101:, a square root of −1.) Some linear combinations of 30:"Superposition" redirects here. For other uses, see 4688: 4644: 4581: 4533: 4475: 4360: 3766:, then there may be a way to make sense of certain 3606:for instance corresponds to the linear combination 409:is certainly the value of some linear combination. 3951: 3719: 3690: 3598: 3541: 3430: 3394: 3335: 3283: 3239: 3100: 3037: 2981: 2825: 2537: 2501: 2229: 2065: 1940: 1770: 1619: 1283: 1192: 993: 615:To see that this is so, take an arbitrary vector ( 285: 1630:Multiplying the polynomials out, this means 3045:), to saying a non-trivial combination is zero: 479:but its sources remain unclear because it lacks 1479: − 1. Picking arbitrary coefficients 4068: 1295:On the other hand, the constant function 3 is 1284:{\displaystyle 2\sin t=(-i)e^{it}+(i)e^{-it}.} 4320: 2272:On the other hand, what about the polynomial 8: 3774:. For example, we might be able to speak of 2817: 2723: 2619:). It is interesting to consider the set of 4248:(5th ed.). Wellesley Cambridge Press. 3841:scalar multiplication on the correct side. 3770:linear combinations, using the topology of 3747:for the operad of all linear combinations. 27:Sum of terms, each multiplied with a scalar 4327: 4313: 4305: 2992:This is equivalent, by subtracting these ( 3943: 3933: 3928: 3921: 3902: 3892: 3887: 3880: 3874: 3711: 3706: 3703: 3676: 3671: 3658: 3653: 3640: 3635: 3622: 3617: 3611: 3558: 3533: 3528: 3525: 3416: 3407: 3380: 3374: 3321: 3315: 3269: 3260: 3231: 3226: 3223: 3089: 3084: 3077: 3067: 3055: 3053: 3029: 3016: 3003: 2997: 2970: 2957: 2948: 2942: 2937: 2930: 2920: 2907: 2902: 2895: 2885: 2873: 2871: 2805: 2786: 2773: 2768: 2761: 2742: 2737: 2730: 2711: 2706: 2690: 2685: 2673: 2524: 2462: 2446: 2435: 2419: 2406: 2393: 2371: 2358: 2342: 2332: 2319: 2307: 2305: 2221: 2208: 2195: 2164: 2115: 2109: 2048: 2035: 2022: 2002: 1989: 1969: 1963: 1905: 1886: 1873: 1860: 1838: 1825: 1809: 1799: 1793: 1756: 1740: 1724: 1711: 1701: 1682: 1666: 1647: 1638: 1605: 1577: 1564: 1536: 1514: 1508: 1266: 1241: 1208: 1178: 1173: 1161: 1149: 1144: 1132: 1118: 978: 973: 966: 953: 948: 941: 928: 923: 916: 875: 841: 807: 784: 747: 710: 687: 674: 661: 650: 648: 510:Learn how and when to remove this message 416:many vectors (except as described in the 274: 269: 262: 243: 238: 231: 218: 213: 206: 193: 188: 181: 175: 4201:A (Terse) Introduction to Linear Algebra 3190: 3172:Affine, conical, and convex combinations 3148:is linearly independent and the span of 4049: 3516:, one can consider vector spaces to be 2847:Suppose that, for some sets of vectors 1454: − 1 a linear combination of 1404:with coefficients taken from the field 1368:, and clearly this cannot happen. See 4718:Comparison of linear algebra libraries 4056: 3542:{\displaystyle \mathbf {R} ^{\infty }} 4128: 4104: 4080: 1408:. Consider the vectors (polynomials) 389:(and the coefficients must belong to 7: 4092: 3844:A more complicated twist comes when 3512:More abstractly, in the language of 417: 401:and the coefficients must belong to 383:a linear combination of vectors in S 65:would be any expression of the form 4224:Linear Algebra and its Applications 1053:. Consider the vectors (functions) 393:). Finally, we may speak simply of 348:a linear combination of the vectors 4141:Katznelson & Katznelson (2008) 4117:Katznelson & Katznelson (2008) 3534: 3038:{\displaystyle c_{i}:=a_{i}-b_{i}} 25: 4199:; Katznelson, Yonatan R. (2008). 3599:{\displaystyle (2,3,-5,0,\dots )} 4731: 4730: 4708:Basic Linear Algebra Subprograms 4466: 3929: 3888: 3720:{\displaystyle \mathbf {R} ^{n}} 3707: 3672: 3654: 3636: 3618: 3529: 3240:{\displaystyle \mathbf {R} ^{n}} 3227: 3085: 3056: 2938: 2903: 2874: 2769: 2738: 2707: 2686: 974: 949: 924: 456: 270: 239: 214: 189: 113:. As usual, we call elements of 4606:Seven-dimensional cross product 3487:), generally the real numbers. 2017: 1984: 4246:Introduction to Linear Algebra 4069:Lay, Lay & McDonald (2016) 3593: 3560: 2717: 2681: 2489: 2480: 2425: 2386: 2377: 2351: 2182: 2157: 2151: 2139: 1932: 1923: 1892: 1853: 1844: 1818: 1781:and collecting like powers of 1746: 1694: 1688: 1659: 1653: 1640: 1595: 1570: 1554: 1542: 1526: 1520: 1259: 1253: 1234: 1225: 899: 881: 865: 847: 831: 813: 790: 765: 759: 734: 728: 703: 693: 654: 32:superposition (disambiguation) 1: 4205:American Mathematical Society 3836:instead of vector spaces. If 1091:base of the natural logarithm 4448:Eigenvalues and eigenvectors 3197:Restrictions on coefficients 2595:, an arbitrary vector space 448:Examples and counterexamples 3395:{\displaystyle a_{i}\geq 0} 3336:{\displaystyle a_{i}\geq 0} 591:is a linear combination of 539:, and let the vector space 18:Infinite linear combination 4773: 3505: 3111:If that is possible, then 2840: 2584: 2078:system of linear equations 1951:Two polynomials are equal 420:section. However, the set 29: 4726: 4464: 4342: 4226:(5th ed.). Pearson. 4179:10.1007/978-3-319-11080-6 4167:Linear Algebra Done Right 3466:probability distributions 3431:{\textstyle \sum a_{i}=1} 3284:{\textstyle \sum a_{i}=1} 4131:pp. 32-33, §§ 2.17, 2.19 3764:topological vector space 2653:}. We write the span of 2591:Take an arbitrary field 2556:a linear combination of 2248:a linear combination of 1392:, or any field, and let 1346:= π gives the equations 1299:a linear combination of 1093:, about 2.71828..., and 465:This section includes a 3476:as the linear closure. 3453:Because these are more 550:. Consider the vectors 494:more precise citations. 4433:Row and column vectors 4107:pp. 29-30, §§ 2.5, 2.8 3953: 3721: 3692: 3600: 3543: 3432: 3396: 3337: 3285: 3241: 3133:; otherwise, they are 3102: 3039: 2983: 2827: 2633:) of the vectors, say 2539: 2503: 2231: 2067: 1942: 1772: 1621: 1285: 1194: 995: 418:§ Generalizations 338:In a given situation, 287: 163:are scalars, then the 4438:Row and column spaces 4383:Scalar multiplication 4271:"Linear Combinations" 3954: 3722: 3693: 3601: 3544: 3433: 3397: 3338: 3286: 3242: 3103: 3040: 2984: 2828: 2540: 2504: 2232: 2068: 1943: 1773: 1622: 1334:for all real numbers 1286: 1195: 996: 288: 122:and call elements of 4573:Gram–Schmidt process 4525:Gaussian elimination 4095:Linear combinations. 3873: 3702: 3610: 3557: 3524: 3406: 3373: 3314: 3259: 3222: 3135:linearly independent 3052: 2996: 2870: 2672: 2523: 2304: 2108: 1962: 1792: 1637: 1507: 1207: 1117: 1037:continuous functions 647: 395:a linear combination 174: 4703:Numerical stability 4583:Multilinear algebra 4558:Inner product space 4408:Linear independence 4197:Katznelson, Yitzhak 3307:Conical combination 3194:Type of combination 3182:conical combination 2843:Linear independence 2837:Linear independence 2538:{\displaystyle 0=1} 53:constructed from a 4413:Linear combination 4301:, khanacademy.org. 4163:Axler, Sheldon Jay 3949: 3717: 3688: 3596: 3539: 3428: 3392: 3366:Convex combination 3333: 3281: 3252:Affine combination 3237: 3208:Linear combination 3186:convex combination 3178:affine combination 3130:linearly dependent 3098: 3072: 3035: 2979: 2925: 2890: 2823: 2552: − 1 is 2535: 2499: 2497: 2227: 2063: 1938: 1768: 1617: 1450:Is the polynomial 1281: 1190: 1171: 1142: 991: 989: 467:list of references 381:, we may speak of 283: 43:linear combination 4744: 4743: 4611:Geometric algebra 4568:Kronecker product 4403:Linear projection 4388:Vector projection 4279:. 27 October 2015 4255:978-0-9802327-7-6 4233:978-0-321-98238-4 4214:978-0-8218-4419-9 4188:978-3-319-11079-0 3470:positive measures 3451: 3450: 3063: 2951: 2950: where  2916: 2881: 1415: := 1, 1170: 1141: 523:Euclidean vectors 520: 519: 512: 316:linear dependence 16:(Redirected from 4764: 4734: 4733: 4616:Exterior algebra 4553:Hadamard product 4470: 4458:Linear equations 4329: 4322: 4315: 4306: 4288: 4286: 4284: 4259: 4237: 4218: 4192: 4169:(3rd ed.). 4144: 4138: 4132: 4126: 4120: 4114: 4108: 4102: 4096: 4090: 4084: 4078: 4072: 4066: 4060: 4054: 3958: 3956: 3955: 3950: 3948: 3947: 3938: 3937: 3932: 3926: 3925: 3907: 3906: 3897: 3896: 3891: 3885: 3884: 3852:over two rings, 3827:commutative ring 3726: 3724: 3723: 3718: 3716: 3715: 3710: 3697: 3695: 3694: 3689: 3681: 3680: 3675: 3663: 3662: 3657: 3645: 3644: 3639: 3627: 3626: 3621: 3605: 3603: 3602: 3597: 3548: 3546: 3545: 3540: 3538: 3537: 3532: 3520:over the operad 3437: 3435: 3434: 3429: 3421: 3420: 3401: 3399: 3398: 3393: 3385: 3384: 3342: 3340: 3339: 3334: 3326: 3325: 3290: 3288: 3287: 3282: 3274: 3273: 3246: 3244: 3243: 3238: 3236: 3235: 3230: 3191: 3107: 3105: 3104: 3099: 3094: 3093: 3088: 3082: 3081: 3071: 3059: 3044: 3042: 3041: 3036: 3034: 3033: 3021: 3020: 3008: 3007: 2988: 2986: 2985: 2980: 2975: 2974: 2962: 2961: 2952: 2949: 2947: 2946: 2941: 2935: 2934: 2924: 2912: 2911: 2906: 2900: 2899: 2889: 2877: 2832: 2830: 2829: 2824: 2810: 2809: 2791: 2790: 2778: 2777: 2772: 2766: 2765: 2747: 2746: 2741: 2735: 2734: 2716: 2715: 2710: 2695: 2694: 2689: 2544: 2542: 2541: 2536: 2508: 2506: 2505: 2500: 2498: 2467: 2466: 2451: 2450: 2436: 2424: 2423: 2411: 2410: 2398: 2397: 2376: 2375: 2363: 2362: 2347: 2346: 2337: 2336: 2324: 2323: 2310: 2236: 2234: 2233: 2228: 2226: 2225: 2213: 2212: 2200: 2199: 2169: 2168: 2120: 2119: 2072: 2070: 2069: 2064: 2053: 2052: 2040: 2039: 2027: 2026: 2007: 2006: 1994: 1993: 1974: 1973: 1947: 1945: 1944: 1939: 1910: 1909: 1891: 1890: 1878: 1877: 1865: 1864: 1843: 1842: 1830: 1829: 1814: 1813: 1804: 1803: 1777: 1775: 1774: 1769: 1761: 1760: 1745: 1744: 1729: 1728: 1716: 1715: 1706: 1705: 1687: 1686: 1671: 1670: 1652: 1651: 1626: 1624: 1623: 1618: 1610: 1609: 1582: 1581: 1569: 1568: 1541: 1540: 1519: 1518: 1446: 1428: 1370:Euler's identity 1367: 1356: 1333: 1290: 1288: 1287: 1282: 1277: 1276: 1249: 1248: 1199: 1197: 1196: 1191: 1189: 1188: 1172: 1163: 1157: 1156: 1143: 1134: 1000: 998: 997: 992: 990: 983: 982: 977: 971: 970: 958: 957: 952: 946: 945: 933: 932: 927: 921: 920: 905: 880: 879: 846: 845: 812: 811: 796: 789: 788: 752: 751: 715: 714: 692: 691: 679: 678: 666: 665: 579: 569: 559: 515: 508: 504: 501: 495: 490:this section by 481:inline citations 460: 459: 452: 292: 290: 289: 284: 279: 278: 273: 267: 266: 248: 247: 242: 236: 235: 223: 222: 217: 211: 210: 198: 197: 192: 186: 185: 147:are vectors and 21: 4772: 4771: 4767: 4766: 4765: 4763: 4762: 4761: 4747: 4746: 4745: 4740: 4722: 4684: 4640: 4577: 4529: 4471: 4462: 4428:Change of basis 4418:Multilinear map 4356: 4338: 4333: 4295: 4282: 4280: 4269: 4266: 4256: 4242:Strang, Gilbert 4240: 4234: 4221: 4215: 4195: 4189: 4161: 4158: 4153: 4148: 4147: 4139: 4135: 4127: 4123: 4115: 4111: 4103: 4099: 4091: 4087: 4079: 4075: 4067: 4063: 4055: 4051: 4046: 4034: 4023: 4014: 4007: 4000: 3991: 3984: 3977: 3968: 3939: 3927: 3917: 3898: 3886: 3876: 3871: 3870: 3865: 3858: 3812: 3806: 3799: 3793: 3786: 3780: 3756: 3754:Generalizations 3729:convex polytope 3705: 3700: 3699: 3670: 3652: 3634: 3616: 3608: 3607: 3555: 3554: 3527: 3522: 3521: 3510: 3504: 3474:signed measures 3459:generalizations 3412: 3404: 3403: 3376: 3371: 3370: 3317: 3312: 3311: 3294:Affine subspace 3265: 3257: 3256: 3225: 3220: 3219: 3215:Vector subspace 3211:no restrictions 3174: 3126: 3117: 3083: 3073: 3050: 3049: 3025: 3012: 2999: 2994: 2993: 2966: 2953: 2936: 2926: 2901: 2891: 2868: 2867: 2862: 2853: 2845: 2839: 2801: 2782: 2767: 2757: 2736: 2726: 2705: 2684: 2670: 2669: 2652: 2643: 2615:be vectors (in 2614: 2605: 2589: 2583: 2581:The linear span 2576: 2569: 2562: 2521: 2520: 2496: 2495: 2458: 2442: 2437: 2429: 2428: 2415: 2402: 2389: 2367: 2354: 2338: 2328: 2315: 2302: 2301: 2296: 2289: 2282: 2268: 2261: 2254: 2244: − 1 2217: 2204: 2191: 2160: 2111: 2106: 2105: 2100: 2093: 2086: 2044: 2031: 2018: 1998: 1985: 1965: 1960: 1959: 1901: 1882: 1869: 1856: 1834: 1821: 1805: 1795: 1790: 1789: 1752: 1736: 1720: 1707: 1697: 1678: 1662: 1643: 1635: 1634: 1601: 1573: 1560: 1532: 1510: 1505: 1504: 1500:, we want 1499: 1492: 1485: 1474: 1467: 1460: 1436: 1430: 1422: 1416: 1414: 1378: 1358: 1347: 1324: 1291: 1262: 1237: 1205: 1204: 1200: 1174: 1145: 1115: 1114: 1030: 1019:complex numbers 1007: 988: 987: 972: 962: 947: 937: 922: 912: 903: 902: 871: 837: 803: 794: 793: 780: 743: 706: 696: 683: 670: 657: 645: 644: 635: 628: 621: 611: 604: 597: 577: 571: 567: 561: 557: 551: 545:Euclidean space 525: 516: 505: 499: 496: 485: 471:related reading 461: 457: 450: 364: 355: 334: 312: 303: 268: 258: 237: 227: 212: 202: 187: 177: 172: 171: 162: 153: 146: 137: 109:over the field 99: 35: 28: 23: 22: 15: 12: 11: 5: 4770: 4768: 4760: 4759: 4757:Linear algebra 4749: 4748: 4742: 4741: 4739: 4738: 4727: 4724: 4723: 4721: 4720: 4715: 4710: 4705: 4700: 4698:Floating-point 4694: 4692: 4686: 4685: 4683: 4682: 4680:Tensor product 4677: 4672: 4667: 4665:Function space 4662: 4657: 4651: 4649: 4642: 4641: 4639: 4638: 4633: 4628: 4623: 4618: 4613: 4608: 4603: 4601:Triple product 4598: 4593: 4587: 4585: 4579: 4578: 4576: 4575: 4570: 4565: 4560: 4555: 4550: 4545: 4539: 4537: 4531: 4530: 4528: 4527: 4522: 4517: 4515:Transformation 4512: 4507: 4505:Multiplication 4502: 4497: 4492: 4487: 4481: 4479: 4473: 4472: 4465: 4463: 4461: 4460: 4455: 4450: 4445: 4440: 4435: 4430: 4425: 4420: 4415: 4410: 4405: 4400: 4395: 4390: 4385: 4380: 4375: 4370: 4364: 4362: 4361:Basic concepts 4358: 4357: 4355: 4354: 4349: 4343: 4340: 4339: 4336:Linear algebra 4334: 4332: 4331: 4324: 4317: 4309: 4303: 4302: 4294: 4293:External links 4291: 4290: 4289: 4265: 4262: 4261: 4260: 4254: 4238: 4232: 4219: 4213: 4193: 4187: 4157: 4154: 4152: 4149: 4146: 4145: 4143:p. 14, § 1.3.2 4133: 4121: 4109: 4097: 4085: 4073: 4061: 4048: 4047: 4045: 4042: 4041: 4040: 4033: 4030: 4019: 4012: 4005: 3996: 3989: 3982: 3973: 3966: 3960: 3959: 3946: 3942: 3936: 3931: 3924: 3920: 3916: 3913: 3910: 3905: 3901: 3895: 3890: 3883: 3879: 3863: 3856: 3810: 3804: 3797: 3791: 3784: 3778: 3755: 3752: 3745:generating set 3714: 3709: 3687: 3684: 3679: 3674: 3669: 3666: 3661: 3656: 3651: 3648: 3643: 3638: 3633: 3630: 3625: 3620: 3615: 3595: 3592: 3589: 3586: 3583: 3580: 3577: 3574: 3571: 3568: 3565: 3562: 3549:(the infinite 3536: 3531: 3506:Main article: 3503: 3500: 3449: 3448: 3443: 3438: 3427: 3424: 3419: 3415: 3411: 3391: 3388: 3383: 3379: 3368: 3362: 3361: 3348: 3343: 3332: 3329: 3324: 3320: 3309: 3303: 3302: 3296: 3291: 3280: 3277: 3272: 3268: 3264: 3254: 3248: 3247: 3234: 3229: 3217: 3212: 3209: 3205: 3204: 3201: 3198: 3195: 3173: 3170: 3122: 3115: 3109: 3108: 3097: 3092: 3087: 3080: 3076: 3070: 3066: 3062: 3058: 3032: 3028: 3024: 3019: 3015: 3011: 3006: 3002: 2990: 2989: 2978: 2973: 2969: 2965: 2960: 2956: 2945: 2940: 2933: 2929: 2923: 2919: 2915: 2910: 2905: 2898: 2894: 2888: 2884: 2880: 2876: 2858: 2851: 2841:Main article: 2838: 2835: 2834: 2833: 2822: 2819: 2816: 2813: 2808: 2804: 2800: 2797: 2794: 2789: 2785: 2781: 2776: 2771: 2764: 2760: 2756: 2753: 2750: 2745: 2740: 2733: 2729: 2725: 2722: 2719: 2714: 2709: 2704: 2701: 2698: 2693: 2688: 2683: 2680: 2677: 2648: 2641: 2610: 2603: 2585:Main article: 2582: 2579: 2574: 2567: 2560: 2546: 2545: 2534: 2531: 2528: 2510: 2509: 2494: 2491: 2488: 2485: 2482: 2479: 2476: 2473: 2470: 2465: 2461: 2457: 2454: 2449: 2445: 2441: 2438: 2434: 2431: 2430: 2427: 2422: 2418: 2414: 2409: 2405: 2401: 2396: 2392: 2388: 2385: 2382: 2379: 2374: 2370: 2366: 2361: 2357: 2353: 2350: 2345: 2341: 2335: 2331: 2327: 2322: 2318: 2314: 2311: 2309: 2294: 2287: 2280: 2266: 2259: 2252: 2238: 2237: 2224: 2220: 2216: 2211: 2207: 2203: 2198: 2194: 2190: 2187: 2184: 2181: 2178: 2175: 2172: 2167: 2163: 2159: 2156: 2153: 2150: 2147: 2144: 2141: 2138: 2135: 2132: 2129: 2126: 2123: 2118: 2114: 2098: 2091: 2084: 2074: 2073: 2062: 2059: 2056: 2051: 2047: 2043: 2038: 2034: 2030: 2025: 2021: 2016: 2013: 2010: 2005: 2001: 1997: 1992: 1988: 1983: 1980: 1977: 1972: 1968: 1953:if and only if 1949: 1948: 1937: 1934: 1931: 1928: 1925: 1922: 1919: 1916: 1913: 1908: 1904: 1900: 1897: 1894: 1889: 1885: 1881: 1876: 1872: 1868: 1863: 1859: 1855: 1852: 1849: 1846: 1841: 1837: 1833: 1828: 1824: 1820: 1817: 1812: 1808: 1802: 1798: 1785:, we get 1779: 1778: 1767: 1764: 1759: 1755: 1751: 1748: 1743: 1739: 1735: 1732: 1727: 1723: 1719: 1714: 1710: 1704: 1700: 1696: 1693: 1690: 1685: 1681: 1677: 1674: 1669: 1665: 1661: 1658: 1655: 1650: 1646: 1642: 1628: 1627: 1616: 1613: 1608: 1604: 1600: 1597: 1594: 1591: 1588: 1585: 1580: 1576: 1572: 1567: 1563: 1559: 1556: 1553: 1550: 1547: 1544: 1539: 1535: 1531: 1528: 1525: 1522: 1517: 1513: 1497: 1490: 1483: 1472: 1465: 1458: 1434: 1420: 1412: 1377: 1374: 1293: 1292: 1280: 1275: 1272: 1269: 1265: 1261: 1258: 1255: 1252: 1247: 1244: 1240: 1236: 1233: 1230: 1227: 1224: 1221: 1218: 1215: 1212: 1203: 1201: 1187: 1184: 1181: 1177: 1169: 1166: 1160: 1155: 1152: 1148: 1140: 1137: 1131: 1128: 1125: 1122: 1113: 1099:imaginary unit 1026: 1006: 1003: 1002: 1001: 986: 981: 976: 969: 965: 961: 956: 951: 944: 940: 936: 931: 926: 919: 915: 911: 908: 906: 904: 901: 898: 895: 892: 889: 886: 883: 878: 874: 870: 867: 864: 861: 858: 855: 852: 849: 844: 840: 836: 833: 830: 827: 824: 821: 818: 815: 810: 806: 802: 799: 797: 795: 792: 787: 783: 779: 776: 773: 770: 767: 764: 761: 758: 755: 750: 746: 742: 739: 736: 733: 730: 727: 724: 721: 718: 713: 709: 705: 702: 699: 697: 695: 690: 686: 682: 677: 673: 669: 664: 660: 656: 653: 652: 633: 626: 619: 609: 602: 595: 575: 565: 555: 527:Let the field 524: 521: 518: 517: 475:external links 464: 462: 455: 449: 446: 360: 353: 330: 308: 301: 294: 293: 282: 277: 272: 265: 261: 257: 254: 251: 246: 241: 234: 230: 226: 221: 216: 209: 205: 201: 196: 191: 184: 180: 158: 151: 142: 135: 98: 95: 83:linear algebra 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 4769: 4758: 4755: 4754: 4752: 4737: 4729: 4728: 4725: 4719: 4716: 4714: 4713:Sparse matrix 4711: 4709: 4706: 4704: 4701: 4699: 4696: 4695: 4693: 4691: 4687: 4681: 4678: 4676: 4673: 4671: 4668: 4666: 4663: 4661: 4658: 4656: 4653: 4652: 4650: 4648:constructions 4647: 4643: 4637: 4636:Outermorphism 4634: 4632: 4629: 4627: 4624: 4622: 4619: 4617: 4614: 4612: 4609: 4607: 4604: 4602: 4599: 4597: 4596:Cross product 4594: 4592: 4589: 4588: 4586: 4584: 4580: 4574: 4571: 4569: 4566: 4564: 4563:Outer product 4561: 4559: 4556: 4554: 4551: 4549: 4546: 4544: 4543:Orthogonality 4541: 4540: 4538: 4536: 4532: 4526: 4523: 4521: 4520:Cramer's rule 4518: 4516: 4513: 4511: 4508: 4506: 4503: 4501: 4498: 4496: 4493: 4491: 4490:Decomposition 4488: 4486: 4483: 4482: 4480: 4478: 4474: 4469: 4459: 4456: 4454: 4451: 4449: 4446: 4444: 4441: 4439: 4436: 4434: 4431: 4429: 4426: 4424: 4421: 4419: 4416: 4414: 4411: 4409: 4406: 4404: 4401: 4399: 4396: 4394: 4391: 4389: 4386: 4384: 4381: 4379: 4376: 4374: 4371: 4369: 4366: 4365: 4363: 4359: 4353: 4350: 4348: 4345: 4344: 4341: 4337: 4330: 4325: 4323: 4318: 4316: 4311: 4310: 4307: 4300: 4297: 4296: 4292: 4278: 4277: 4272: 4268: 4267: 4263: 4257: 4251: 4247: 4243: 4239: 4235: 4229: 4225: 4220: 4216: 4210: 4206: 4202: 4198: 4194: 4190: 4184: 4180: 4176: 4172: 4168: 4164: 4160: 4159: 4155: 4150: 4142: 4137: 4134: 4130: 4125: 4122: 4119:p. 9, § 1.2.3 4118: 4113: 4110: 4106: 4101: 4098: 4094: 4089: 4086: 4082: 4077: 4074: 4070: 4065: 4062: 4058: 4057:Strang (2016) 4053: 4050: 4043: 4039: 4036: 4035: 4031: 4029: 4027: 4022: 4018: 4011: 4004: 3999: 3995: 3988: 3981: 3976: 3972: 3965: 3944: 3940: 3934: 3922: 3918: 3914: 3911: 3908: 3903: 3899: 3893: 3881: 3877: 3869: 3868: 3867: 3862: 3855: 3851: 3847: 3842: 3839: 3835: 3832: 3828: 3824: 3819: 3816: 3809: 3803: 3796: 3790: 3783: 3777: 3773: 3769: 3765: 3761: 3753: 3751: 3748: 3746: 3740: 3738: 3732: 3730: 3712: 3685: 3682: 3677: 3667: 3664: 3659: 3649: 3646: 3641: 3631: 3628: 3623: 3613: 3590: 3587: 3584: 3581: 3578: 3575: 3572: 3569: 3566: 3563: 3552: 3519: 3515: 3514:operad theory 3509: 3508:Operad theory 3502:Operad theory 3501: 3499: 3495: 3493: 3488: 3486: 3482: 3481:ordered field 3477: 3475: 3471: 3467: 3462: 3460: 3456: 3447: 3444: 3442: 3439: 3425: 3422: 3417: 3413: 3409: 3389: 3386: 3381: 3377: 3369: 3367: 3364: 3363: 3360: 3356: 3352: 3349: 3347: 3344: 3330: 3327: 3322: 3318: 3310: 3308: 3305: 3304: 3301: 3297: 3295: 3292: 3278: 3275: 3270: 3266: 3262: 3255: 3253: 3250: 3249: 3232: 3218: 3216: 3213: 3210: 3207: 3206: 3202: 3199: 3196: 3193: 3192: 3189: 3187: 3183: 3179: 3171: 3169: 3167: 3163: 3159: 3155: 3151: 3147: 3142: 3140: 3136: 3132: 3131: 3125: 3121: 3114: 3095: 3090: 3078: 3074: 3068: 3064: 3060: 3048: 3047: 3046: 3030: 3026: 3022: 3017: 3013: 3009: 3004: 3000: 2976: 2971: 2967: 2963: 2958: 2954: 2943: 2931: 2927: 2921: 2917: 2913: 2908: 2896: 2892: 2886: 2882: 2878: 2866: 2865: 2864: 2861: 2857: 2850: 2844: 2836: 2820: 2814: 2811: 2806: 2802: 2798: 2795: 2792: 2787: 2783: 2779: 2774: 2762: 2758: 2754: 2751: 2748: 2743: 2731: 2727: 2720: 2712: 2702: 2699: 2696: 2691: 2678: 2675: 2668: 2667: 2666: 2664: 2660: 2656: 2651: 2647: 2640: 2636: 2632: 2628: 2627: 2622: 2618: 2613: 2609: 2602: 2598: 2594: 2588: 2580: 2578: 2573: 2566: 2559: 2555: 2551: 2532: 2529: 2526: 2519: 2518: 2517: 2515: 2492: 2486: 2483: 2477: 2474: 2471: 2468: 2463: 2459: 2455: 2452: 2447: 2443: 2439: 2432: 2420: 2416: 2412: 2407: 2403: 2399: 2394: 2390: 2383: 2380: 2372: 2368: 2364: 2359: 2355: 2348: 2343: 2339: 2333: 2329: 2325: 2320: 2316: 2312: 2300: 2299: 2298: 2293: 2286: 2279: 2275: 2270: 2265: 2258: 2251: 2247: 2243: 2222: 2218: 2214: 2209: 2205: 2201: 2196: 2192: 2188: 2185: 2179: 2176: 2173: 2170: 2165: 2161: 2154: 2148: 2145: 2142: 2136: 2133: 2130: 2127: 2124: 2121: 2116: 2112: 2104: 2103: 2102: 2097: 2090: 2083: 2079: 2060: 2057: 2054: 2049: 2045: 2041: 2036: 2032: 2028: 2023: 2019: 2014: 2011: 2008: 2003: 1999: 1995: 1990: 1986: 1981: 1978: 1975: 1970: 1966: 1958: 1957: 1956: 1954: 1935: 1929: 1926: 1920: 1917: 1914: 1911: 1906: 1902: 1898: 1895: 1887: 1883: 1879: 1874: 1870: 1866: 1861: 1857: 1850: 1847: 1839: 1835: 1831: 1826: 1822: 1815: 1810: 1806: 1800: 1796: 1788: 1787: 1786: 1784: 1765: 1762: 1757: 1753: 1749: 1741: 1737: 1733: 1730: 1725: 1721: 1717: 1712: 1708: 1702: 1698: 1691: 1683: 1679: 1675: 1672: 1667: 1663: 1656: 1648: 1644: 1633: 1632: 1631: 1614: 1611: 1606: 1602: 1598: 1592: 1589: 1586: 1583: 1578: 1574: 1565: 1561: 1557: 1551: 1548: 1545: 1537: 1533: 1529: 1523: 1515: 1511: 1503: 1502: 1501: 1496: 1489: 1482: 1478: 1471: 1464: 1457: 1453: 1448: 1444: 1440: 1433: 1426: 1419: 1411: 1407: 1403: 1399: 1395: 1391: 1387: 1383: 1375: 1373: 1371: 1365: 1361: 1354: 1350: 1345: 1341: 1337: 1331: 1327: 1322: 1318: 1314: 1310: 1306: 1302: 1298: 1278: 1273: 1270: 1267: 1263: 1256: 1250: 1245: 1242: 1238: 1231: 1228: 1222: 1219: 1216: 1213: 1210: 1202: 1185: 1182: 1179: 1175: 1167: 1164: 1158: 1153: 1150: 1146: 1138: 1135: 1129: 1126: 1123: 1120: 1112: 1111: 1110: 1108: 1104: 1100: 1096: 1092: 1088: 1084: 1080: 1076: 1072: 1068: 1064: 1060: 1056: 1052: 1049: 1048:complex plane 1045: 1042: 1038: 1034: 1029: 1024: 1020: 1016: 1012: 1004: 984: 979: 967: 963: 959: 954: 942: 938: 934: 929: 917: 913: 909: 907: 896: 893: 890: 887: 884: 876: 872: 868: 862: 859: 856: 853: 850: 842: 838: 834: 828: 825: 822: 819: 816: 808: 804: 800: 798: 785: 781: 777: 774: 771: 768: 762: 756: 753: 748: 744: 740: 737: 731: 725: 722: 719: 716: 711: 707: 700: 698: 688: 684: 680: 675: 671: 667: 662: 658: 643: 642: 641: 640:, and write: 639: 632: 625: 618: 613: 608: 601: 594: 590: 586: 583: 574: 564: 554: 549: 546: 542: 538: 534: 530: 522: 514: 511: 503: 493: 489: 483: 482: 476: 472: 468: 463: 454: 453: 447: 445: 443: 439: 435: 431: 427: 423: 419: 415: 410: 408: 404: 400: 396: 392: 388: 384: 380: 376: 372: 368: 363: 359: 352: 349: 345: 341: 336: 333: 329: 325: 321: 317: 311: 307: 300: 280: 275: 263: 259: 255: 252: 249: 244: 232: 228: 224: 219: 207: 203: 199: 194: 182: 178: 170: 169: 168: 166: 161: 157: 150: 145: 141: 134: 130: 129: 125: 121: 120: 116: 112: 108: 104: 96: 94: 92: 88: 84: 80: 76: 72: 68: 64: 60: 56: 52: 48: 47:superposition 44: 40: 33: 19: 4646:Vector space 4412: 4378:Vector space 4281:. Retrieved 4274: 4245: 4223: 4200: 4166: 4136: 4129:Axler (2015) 4124: 4112: 4105:Axler (2015) 4100: 4088: 4083:p. 28, § 2.3 4081:Axler (2015) 4076: 4071:p. 28, ch. 1 4064: 4052: 4038:Weighted sum 4025: 4020: 4016: 4009: 4002: 3997: 3993: 3986: 3979: 3974: 3970: 3963: 3961: 3860: 3853: 3845: 3843: 3837: 3830: 3822: 3820: 3814: 3807: 3801: 3794: 3788: 3781: 3775: 3771: 3767: 3759: 3757: 3749: 3741: 3737:all possible 3736: 3733: 3511: 3496: 3489: 3485:ordered ring 3478: 3463: 3458: 3454: 3452: 3203:Model space 3175: 3165: 3157: 3153: 3149: 3145: 3143: 3141:of vectors. 3138: 3134: 3128: 3123: 3119: 3112: 3110: 2991: 2859: 2855: 2848: 2846: 2662: 2658: 2654: 2649: 2645: 2638: 2634: 2630: 2624: 2620: 2616: 2611: 2607: 2600: 2596: 2592: 2590: 2571: 2564: 2557: 2553: 2549: 2547: 2513: 2511: 2291: 2284: 2277: 2273: 2271: 2263: 2256: 2249: 2245: 2241: 2239: 2095: 2088: 2081: 2075: 1950: 1782: 1780: 1629: 1494: 1487: 1480: 1476: 1469: 1462: 1455: 1451: 1449: 1442: 1438: 1431: 1424: 1417: 1409: 1405: 1397: 1393: 1389: 1385: 1381: 1379: 1363: 1359: 1352: 1348: 1343: 1339: 1335: 1329: 1325: 1320: 1316: 1312: 1308: 1304: 1300: 1296: 1294: 1106: 1102: 1094: 1086: 1082: 1078: 1074: 1070: 1066: 1062: 1058: 1054: 1050: 1043: 1032: 1027: 1025:be the set C 1022: 1014: 1010: 1008: 637: 630: 623: 616: 614: 606: 599: 592: 588: 581: 572: 562: 552: 547: 540: 537:real numbers 532: 528: 526: 506: 497: 486:Please help 478: 441: 429: 421: 411: 406: 402: 398: 394: 390: 386: 382: 378: 370: 366: 361: 357: 350: 347: 343: 339: 337: 331: 327: 323: 319: 309: 305: 298: 295: 164: 159: 155: 148: 143: 139: 132: 126: 123: 117: 114: 110: 107:vector space 102: 100: 87:vector space 78: 74: 70: 66: 62: 58: 46: 42: 36: 4626:Multivector 4591:Determinant 4548:Dot product 4393:Linear span 4093:nLab (2015) 4059:p. 3, § 1.1 3346:Convex cone 3200:Name of set 3127:are called 2626:linear span 2587:Linear span 2570:, and  2262:, and  1402:polynomials 1396:be the set 1376:Polynomials 1109: are: 1061:defined by 1013:be the set 605:, and  531:be the set 500:August 2013 492:introducing 438:zero vector 318:: a family 39:mathematics 4660:Direct sum 4495:Invertible 4398:Linear map 4151:References 4024:belong to 4001:belong to 3978:belong to 3815:convergent 3551:direct sum 3455:restricted 3441:Convex set 3300:hyperplane 2599:, and let 1338:. Setting 1323:such that 1081:) := 1069:) := 1021:, and let 432:cannot be 369:). Or, if 97:Definition 51:expression 4690:Numerical 4453:Transpose 4044:Citations 3912:⋯ 3686:⋯ 3647:− 3591:… 3576:− 3535:∞ 3410:∑ 3387:≥ 3328:≥ 3263:∑ 3065:∑ 3023:− 2964:≠ 2918:∑ 2883:∑ 2812:∈ 2796:… 2752:⋯ 2700:… 2679:⁡ 2629:(or just 2516: is 2484:− 2202:− 2189:− 2137:− 2131:− 2122:− 2058:− 1927:− 1763:− 1612:− 1437: := 1423: := 1268:− 1229:− 1217:⁡ 1180:− 1124:⁡ 1085:. (Here, 1041:real line 1039:from the 1035:) of all 1005:Functions 578:= (0,0,1) 568:= (0,1,0) 558:= (1,0,0) 253:⋯ 4751:Category 4736:Category 4675:Subspace 4670:Quotient 4621:Bivector 4535:Bilinear 4477:Matrices 4352:Glossary 4244:(2016). 4171:Springer 4165:(2015). 4156:Textbook 4032:See also 3850:bimodule 3800: + 3787: + 3768:infinite 3518:algebras 3351:Quadrant 2661:) or sp( 2657:as span( 1342:= 0 and 426:infinite 414:finitely 73:, where 4347:Outline 3834:modules 3446:Simplex 3359:orthant 3298:Affine 3156:, then 3152:equals 2644:, ..., 1400:of all 1097:is the 1089:is the 1046:to the 1017:of all 580:. Then 543:be the 488:improve 128:scalars 119:vectors 89:over a 4631:Tensor 4443:Kernel 4373:Vector 4368:Scalar 4283:16 Feb 4252:  4230:  4211:  4185:  4008:, and 3962:where 3355:octant 3184:, and 2290:, and 1493:, and 1468:, and 1429:, and 585:vector 375:subset 49:is an 4500:Minor 4485:Block 4423:Basis 3992:,..., 3969:,..., 3848:is a 3825:is a 3762:is a 3357:, or 3162:basis 3160:is a 3118:,..., 2854:,..., 2606:,..., 2076:This 636:) in 473:, or 373:is a 356:,..., 304:,..., 154:,..., 138:,..., 131:. If 105:be a 91:field 4655:Dual 4510:Rank 4285:2021 4276:nLab 4250:ISBN 4228:ISBN 4209:ISBN 4183:ISBN 3859:and 3492:cone 3483:(or 3402:and 3164:for 2676:span 2631:span 1380:Let 1366:= −3 1357:and 1319:and 1311:and 1303:and 1105:and 1073:and 1057:and 1009:Let 570:and 434:zero 342:and 101:Let 77:and 61:and 41:, a 4264:Web 4175:doi 4015:,…, 3821:If 3758:If 3144:If 2665:): 2637:= { 2621:all 2554:not 2240:so 1445:+ 1 1427:+ 1 1384:be 1355:= 3 1332:= 3 1297:not 1214:sin 1121:cos 587:in 582:any 535:of 440:in 377:of 167:is 55:set 45:or 37:In 4753:: 4273:. 4207:. 4203:. 4181:. 4173:. 4028:. 3985:, 3353:, 3180:, 3168:. 3010::= 2721::= 2577:. 2563:, 2283:, 2269:. 2255:, 2246:is 2061:1. 1615:1. 1486:, 1461:, 1447:. 1441:+ 1388:, 1372:. 1362:+ 1351:+ 1330:be 1328:+ 1326:ae 612:. 598:, 560:, 477:, 469:, 444:. 71:by 69:+ 67:ax 4328:e 4321:t 4314:v 4287:. 4258:. 4236:. 4217:. 4191:. 4177:: 4026:V 4021:n 4017:v 4013:1 4010:v 4006:R 4003:K 3998:n 3994:b 3990:1 3987:b 3983:L 3980:K 3975:n 3971:a 3967:1 3964:a 3945:n 3941:b 3935:n 3930:v 3923:n 3919:a 3915:+ 3909:+ 3904:1 3900:b 3894:1 3889:v 3882:1 3878:a 3864:R 3861:K 3857:L 3854:K 3846:V 3838:K 3831:V 3823:K 3811:3 3808:v 3805:3 3802:a 3798:2 3795:v 3792:2 3789:a 3785:1 3782:v 3779:1 3776:a 3772:V 3760:V 3713:n 3708:R 3683:+ 3678:4 3673:v 3668:0 3665:+ 3660:3 3655:v 3650:5 3642:2 3637:v 3632:3 3629:+ 3624:1 3619:v 3614:2 3594:) 3588:, 3585:0 3582:, 3579:5 3573:, 3570:3 3567:, 3564:2 3561:( 3530:R 3426:1 3423:= 3418:i 3414:a 3390:0 3382:i 3378:a 3331:0 3323:i 3319:a 3279:1 3276:= 3271:i 3267:a 3233:n 3228:R 3166:V 3158:S 3154:V 3150:S 3146:S 3139:S 3124:n 3120:v 3116:1 3113:v 3096:. 3091:i 3086:v 3079:i 3075:c 3069:i 3061:= 3057:0 3031:i 3027:b 3018:i 3014:a 3005:i 3001:c 2977:. 2972:i 2968:b 2959:i 2955:a 2944:i 2939:v 2932:i 2928:b 2922:i 2914:= 2909:i 2904:v 2897:i 2893:a 2887:i 2879:= 2875:v 2860:n 2856:v 2852:1 2849:v 2821:. 2818:} 2815:K 2807:n 2803:a 2799:, 2793:, 2788:1 2784:a 2780:: 2775:n 2770:v 2763:n 2759:a 2755:+ 2749:+ 2744:1 2739:v 2732:1 2728:a 2724:{ 2718:) 2713:n 2708:v 2703:, 2697:, 2692:1 2687:v 2682:( 2663:S 2659:S 2655:S 2650:n 2646:v 2642:1 2639:v 2635:S 2617:V 2612:n 2608:v 2604:1 2601:v 2597:V 2593:K 2575:3 2572:p 2568:2 2565:p 2561:1 2558:p 2550:x 2533:1 2530:= 2527:0 2514:x 2493:. 2490:) 2487:1 2481:( 2478:+ 2475:x 2472:0 2469:+ 2464:2 2460:x 2456:0 2453:+ 2448:3 2444:x 2440:1 2433:= 2426:) 2421:3 2417:a 2413:+ 2408:2 2404:a 2400:+ 2395:1 2391:a 2387:( 2384:+ 2381:x 2378:) 2373:3 2369:a 2365:+ 2360:2 2356:a 2352:( 2349:+ 2344:2 2340:x 2334:3 2330:a 2326:+ 2321:3 2317:x 2313:0 2295:3 2292:p 2288:2 2285:p 2281:1 2278:p 2274:x 2267:3 2264:p 2260:2 2257:p 2253:1 2250:p 2242:x 2223:3 2219:p 2215:+ 2210:2 2206:p 2197:1 2193:p 2186:= 2183:) 2180:1 2177:+ 2174:x 2171:+ 2166:2 2162:x 2158:( 2155:+ 2152:) 2149:1 2146:+ 2143:x 2140:( 2134:1 2128:= 2125:1 2117:2 2113:x 2099:1 2096:a 2092:2 2089:a 2085:3 2082:a 2055:= 2050:3 2046:a 2042:+ 2037:2 2033:a 2029:+ 2024:1 2020:a 2015:, 2012:0 2009:= 2004:3 2000:a 1996:+ 1991:2 1987:a 1982:, 1979:1 1976:= 1971:3 1967:a 1936:. 1933:) 1930:1 1924:( 1921:+ 1918:x 1915:0 1912:+ 1907:2 1903:x 1899:1 1896:= 1893:) 1888:3 1884:a 1880:+ 1875:2 1871:a 1867:+ 1862:1 1858:a 1854:( 1851:+ 1848:x 1845:) 1840:3 1836:a 1832:+ 1827:2 1823:a 1819:( 1816:+ 1811:2 1807:x 1801:3 1797:a 1783:x 1766:1 1758:2 1754:x 1750:= 1747:) 1742:3 1738:a 1734:+ 1731:x 1726:3 1722:a 1718:+ 1713:2 1709:x 1703:3 1699:a 1695:( 1692:+ 1689:) 1684:2 1680:a 1676:+ 1673:x 1668:2 1664:a 1660:( 1657:+ 1654:) 1649:1 1645:a 1641:( 1607:2 1603:x 1599:= 1596:) 1593:1 1590:+ 1587:x 1584:+ 1579:2 1575:x 1571:( 1566:3 1562:a 1558:+ 1555:) 1552:1 1549:+ 1546:x 1543:( 1538:2 1534:a 1530:+ 1527:) 1524:1 1521:( 1516:1 1512:a 1498:3 1495:a 1491:2 1488:a 1484:1 1481:a 1477:x 1473:3 1470:p 1466:2 1463:p 1459:1 1456:p 1452:x 1443:x 1439:x 1435:3 1432:p 1425:x 1421:2 1418:p 1413:1 1410:p 1406:K 1398:P 1394:V 1390:C 1386:R 1382:K 1364:b 1360:a 1353:b 1349:a 1344:t 1340:t 1336:t 1321:b 1317:a 1313:e 1309:e 1305:g 1301:f 1279:. 1274:t 1271:i 1264:e 1260:) 1257:i 1254:( 1251:+ 1246:t 1243:i 1239:e 1235:) 1232:i 1226:( 1223:= 1220:t 1211:2 1186:t 1183:i 1176:e 1168:2 1165:1 1159:+ 1154:t 1151:i 1147:e 1139:2 1136:1 1130:= 1127:t 1107:g 1103:f 1095:i 1087:e 1083:e 1079:t 1077:( 1075:g 1071:e 1067:t 1065:( 1063:f 1059:g 1055:f 1051:C 1044:R 1033:R 1031:( 1028:C 1023:V 1015:C 1011:K 985:. 980:3 975:e 968:3 964:a 960:+ 955:2 950:e 943:2 939:a 935:+ 930:1 925:e 918:1 914:a 910:= 900:) 897:1 894:, 891:0 888:, 885:0 882:( 877:3 873:a 869:+ 866:) 863:0 860:, 857:1 854:, 851:0 848:( 843:2 839:a 835:+ 832:) 829:0 826:, 823:0 820:, 817:1 814:( 809:1 805:a 801:= 791:) 786:3 782:a 778:, 775:0 772:, 769:0 766:( 763:+ 760:) 757:0 754:, 749:2 745:a 741:, 738:0 735:( 732:+ 729:) 726:0 723:, 720:0 717:, 712:1 708:a 704:( 701:= 694:) 689:3 685:a 681:, 676:2 672:a 668:, 663:1 659:a 655:( 638:R 634:3 631:a 629:, 627:2 624:a 622:, 620:1 617:a 610:3 607:e 603:2 600:e 596:1 593:e 589:R 576:3 573:e 566:2 563:e 556:1 553:e 548:R 541:V 533:R 529:K 513:) 507:( 502:) 498:( 484:. 442:V 430:n 422:S 407:V 403:K 399:V 391:K 387:S 379:V 371:S 367:K 362:n 358:v 354:1 351:v 344:V 340:K 332:i 328:v 324:F 320:F 310:n 306:v 302:1 299:v 281:. 276:n 271:v 264:n 260:a 256:+ 250:+ 245:3 240:v 233:3 229:a 225:+ 220:2 215:v 208:2 204:a 200:+ 195:1 190:v 183:1 179:a 160:n 156:a 152:1 149:a 144:n 140:v 136:1 133:v 124:K 115:V 111:K 103:V 79:b 75:a 63:y 59:x 34:. 20:)

Index

Infinite linear combination
superposition (disambiguation)
mathematics
expression
set
linear algebra
vector space
field
vector space
vectors
scalars
linear dependence
subset
finitely
§ Generalizations
infinite
zero
zero vector
list of references
related reading
external links
inline citations
improve
introducing
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real numbers
Euclidean space
vector
complex numbers
continuous functions

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