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Change of basis

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6032: 171: 145: 6296: 43: 3238: 1999: 2689: 2841: 1729: 5380:. This implies that the property of being a symmetric matrix must be kept by the above change-of-base formula. One can also check this by noting that the transpose of a matrix product is the product of the transposes computed in the reverse order. In particular, 4536:, many function properties are kept by a change of basis. This allows defining these properties as properties of functions of a variable vector that are not related to any specific basis. So, a function whose domain is a vector space or a subset of it is 4017: 5468: 2830: 2527: 3233:{\displaystyle {\begin{aligned}x_{1}v_{1}+x_{2}v_{2}&=(y_{1}\cos t-y_{2}\sin t)v_{1}+(y_{1}\sin t+y_{2}\cos t)v_{2}\\&=y_{1}(\cos(t)v_{1}+\sin(t)v_{2})+y_{2}(-\sin(t)v_{1}+\cos(t)v_{2})\\&=y_{1}w_{1}+y_{2}w_{2}.\end{aligned}}} 4448: 3260:
of the corresponding linear map to the vector whose coordinates form the column vector. The change-of-basis formula is a specific case of this general principle, although this is not immediately clear from its definition and proof.
4304: 2428: 1548: 312: 4127: 3872: 5197: 1994:{\displaystyle {\begin{aligned}z&=\sum _{j=1}^{n}y_{j}w_{j}\\&=\sum _{j=1}^{n}\left(y_{j}\sum _{i=1}^{n}a_{i,j}v_{i}\right)\\&=\sum _{i=1}^{n}\left(\sum _{j=1}^{n}a_{i,j}y_{j}\right)v_{i}.\end{aligned}}} 1420: 3573: 943: 3701: 509: 2071: 5660:
asserts that, given such a symmetric matrix, there is an orthogonal change of basis such that the resulting matrix (of both the bilinear form and the endomorphism) is a diagonal matrix with the
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Such matrices have the fundamental property that the change-of-base formula is the same for a symmetric bilinear form and the endomorphism that is represented by the same symmetric matrix. The
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consists of converting every assertion expressed in terms of coordinates relative to one basis into an assertion expressed in terms of coordinates relative to the other basis.
5386: 4959: 4918: 5109: 2519: 5358: 5551: 2700: 2684:{\displaystyle {\begin{bmatrix}x_{1}\\x_{2}\end{bmatrix}}={\begin{bmatrix}\cos t&-\sin t\\\sin t&\cos t\end{bmatrix}}\,{\begin{bmatrix}y_{1}\\y_{2}\end{bmatrix}}.} 2211: 1638: 1616: 4484:
of the function is changed. This change can be computed by substituting the "old" coordinates for their expressions in terms of the "new" coordinates. More precisely, if
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to itself. For a change of basis, the formula of the preceding section applies, with the same change-of-basis matrix on both sides of the formula. That is, if
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This article deals mainly with finite-dimensional vector spaces. However, many of the principles are also valid for infinite-dimensional vector spaces.
250: 5890: 5682: 4586:, as this allows extending the concepts of continuous, differentiable, smooth and analytic functions to functions that are defined on a manifold. 4063: 3808: 5531:. Moreover, the resulting nonzero entries on the diagonal are defined up to the multiplication by a square. So, if the ground field is the field 4525:
The fact that the change-of-basis formula expresses the old coordinates in terms of the new one may seem unnatural, but appears as useful, as no
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is the field of scalars. When only one basis is considered for each vector space, it is worth to leave this isomorphism implicit, and to work
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of the initial matrix on the diagonal. It follows that, over the reals, if the matrix of an endomorphism is symmetric, then it is
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is a change of basis matrix, then a straightforward computation shows that the matrix of the bilinear form on the new basis is
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Although a basis is generally defined as a set of vectors (for example, as a spanning set that is linearly independent), the
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for the new one makes clearer the formulas that follows, and helps avoiding errors in proofs and explicit computations.)
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expresses the coordinates over the old basis in terms of the coordinates over the new basis. With above notation, it is
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an isomorphism. As several bases of the same vector space are considered here, a more accurate wording is required.
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which expresses the coordinates relative to one basis in terms of coordinates relative to the other basis. Using
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are specially useful; this means that one generally prefer to restrict changes of basis to those that have an
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if the multivariate function that represents it on some basis—and thus on every basis—has the same property.
3365: 2285: 6320: 6299: 6006: 5876: 5297: 4558: 3706: 3434: 75: 5005: 4012:{\displaystyle B_{\mathrm {new} }=\phi _{\mathrm {new} }(\phi _{\mathrm {old} }^{-1}(B_{\mathrm {old} })).} 2228: 1221: 1111: 6325: 6063: 5996: 5986: 4462: 3269: 2214: 2082: 1682: 1273: 1183: 1042: 6223: 6078: 6073: 6068: 6001: 5946: 5665: 5463:{\displaystyle (P^{\mathsf {T}}\mathbf {B} P)^{\mathsf {T}}=P^{\mathsf {T}}\mathbf {B} ^{\mathsf {T}}P,} 4470: 4025: 1647: 1007: 948: 159: 2087: 2073:
the change-of-basis formula results from the uniqueness of the decomposition of a vector over a basis.
6088: 6053: 6040: 5931: 5835: 5787: 4923: 4882: 4474: 4466: 3898: 3257: 3249: 2825:{\displaystyle x_{1}=y_{1}\cos t-y_{2}\sin t\qquad {\text{and}}\qquad x_{2}=y_{1}\sin t+y_{2}\cos t.} 772: 241: 214: 155: 5065: 2475: 158:, these form a new basis. The linear combinations relating the first basis to the other extend to a 6266: 6146: 6121: 5971: 5307: 4843: 4551: 4544: 3298: 1425:(One could take the same summation index for the two sums, but choosing systematically the indexes 519: 5717:
notation is convenient here, since the indexing by the first positive integers makes the basis an
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which is the change-of-basis formula expressed in terms of linear maps instead of coordinates.
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where "old" and "new" refer respectively to the initially defined basis and the other basis,
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is not two, then for every symmetric bilinear form there is a basis for which the matrix is
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A First Course In Linear Algebra: with Optional Introduction to Groups, Rings, and Fields
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whose variables are the coordinates on some basis of the vector on which the function is
4443:{\displaystyle \phi _{\mathrm {old} }^{-1}(v)=\psi _{A}(\phi _{\mathrm {new} }^{-1}(v)),} 221:. If two different bases are considered, the coordinate vector that represents a vector 144: 6243: 6228: 6164: 5899: 5806: 4771:
is a change-of-basis matrix, then the matrix of the endomorphism on the "new" basis is
4299:{\displaystyle \phi _{\mathrm {old} }^{-1}=\psi _{A}\circ \phi _{\mathrm {new} }^{-1}.} 3340: 3339:-vector space whose addition and scalar multiplication are defined component-wise. Its 2117: 1163: 398: 6314: 6276: 6199: 6159: 6126: 6106: 5718: 4834: 4760: 392: 188: 17: 2423:{\displaystyle {\begin{bmatrix}\cos t&-\sin t\\\sin t&\cos t\end{bmatrix}}.} 6209: 6098: 6048: 5941: 4748: 4612: 3743: 1543:{\displaystyle x_{i}=\sum _{j=1}^{n}a_{i,j}y_{j}\qquad {\text{for }}i=1,\ldots ,n.} 424: 192: 225:
on one basis is, in general, different from the coordinate vector that represents
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of implied vector spaces, and to the fact that the choice of a basis induces an
993: 218: 184: 42: 307:{\displaystyle \mathbf {x} _{\mathrm {old} }=A\,\mathbf {x} _{\mathrm {new} },} 6218: 5961: 5862: 5597: 4861: 4595: 3253: 3578:
Conversely, such a linear isomorphism defines a basis, which is the image by
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if and only if they represent the same endomorphism on two different bases.
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can be used as a change-of-basis matrix, this implies that two matrices are
4122:{\displaystyle \phi _{\mathrm {new} }=\phi _{\mathrm {old} }\circ \psi _{A}} 3867:{\displaystyle \phi _{\mathrm {new} }=\phi _{\mathrm {old} }\circ \psi _{A}} 866:
such a convention is useful for avoiding errors in explicit computations.)
5192:{\displaystyle B(v,w)=\mathbf {v} ^{\mathsf {T}}\mathbf {B} \mathbf {w} ,} 4495:
is the expression of the function in terms of the old coordinates, and if
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is the expression of the same function in terms of the new coordinates.
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of one basis of vectors (purple) obtains new vectors (red). If they are
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This is a straightforward consequence of the change-of-basis formula.
1415:{\displaystyle z=\sum _{i=1}^{n}x_{i}v_{i}=\sum _{j=1}^{n}y_{j}w_{j}.} 6194: 3568:{\displaystyle \phi (x_{1},\ldots ,x_{n})=\sum _{i=1}^{n}x_{i}v_{i}.} 423:), which is the matrix whose columns are the coordinates of the new 176:
A vector represented by two different bases (purple and red arrows).
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depends only on the bilinear form, and not of the change of basis.
5054:(the "old" basis in what follows) is the matrix whose entry of the 5714: 3329: 3287: 1723:
Using the above definition of the change-of basis matrix, one has
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allows representing uniquely any element of the vector space by a
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Symmetric bilinear forms over the reals are often encountered in
3256:, and the product of a matrix and a column vector represents the 5843: 5872: 36: 4022:
A straightforward verification shows that this definition of
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of the coordinates of the same vector on the two bases, and
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the associated isomorphism. Given a change-of basis matrix
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are the column vectors of the coordinates of two vectors
938:{\displaystyle B_{\mathrm {new} }=(w_{1},\ldots ,w_{n}),} 3696:{\displaystyle B_{\mathrm {old} }=(v_{1},\ldots ,v_{n})} 504:{\displaystyle B_{\mathrm {old} }=(v_{1},\ldots ,v_{n})} 2066:{\displaystyle z=\textstyle \sum _{i=1}^{n}x_{i}v_{i},} 2643: 2579: 2536: 2359: 2017: 5614: 5537: 5479: 5389: 5310: 5259: 5208: 5140: 5068: 5008: 4967: 4926: 4885: 4780: 4704: 4347: 4315: 4224: 4178: 4135: 4066: 4028: 3910: 3883: 3811: 3778: 3751: 3709: 3636: 3604: 3584: 3479: 3437: 3368: 3307: 2844: 2703: 2530: 2478: 2438: 2353: 2288: 2231: 2171: 2126: 2090: 2010: 1732: 1685: 1650: 1624: 1602: 1562: 1553:
In terms of matrices, the change of basis formula is
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(1973), 5753: 5648: 5545: 5502: 5462: 5352: 5285: 5225: 5191: 5103: 5046: 4982: 4953: 4912: 4805: 4729: 4442: 4330: 4298: 4207: 4164: 4121: 4049: 4011: 3889: 3866: 3794: 3764: 3730: 3695: 3620: 3590: 3567: 3462: 3412: 3347:th element the tuple with all components equal to 3320: 3232: 2824: 2683: 2513: 2464: 2422: 2337: 2274: 2205: 2157: 2108: 2065: 1993: 1709: 1671: 1632: 1610: 1585: 1542: 1414: 1300: 1262: 1210: 1172: 1152: 1100: 1069: 1031: 972: 937: 858: 820: 760: 695:{\displaystyle w_{j}=\sum _{i=1}^{n}a_{i,j}v_{i}.} 694: 612: 574: 503: 407: 383: 346: 306: 5569:is a theorem that asserts that the numbers of 4057:is the same as that of the preceding section. 5884: 5857:MIT Linear Algebra Lecture on Change of Basis 5690:, the continuous analogue of change of basis. 5286:{\displaystyle P^{\mathsf {T}}\mathbf {B} P.} 4532:As the change-of-basis formula involves only 3703:be the "old basis" of a change of basis, and 2432:The change-of-basis formula asserts that, if 1640:are the column vectors of the coordinates of 1586:{\displaystyle \mathbf {x} =A\,\mathbf {y} ,} 384:{\displaystyle \mathbf {x} _{\mathrm {new} }} 347:{\displaystyle \mathbf {x} _{\mathrm {old} }} 8: 5503:{\displaystyle P^{\mathsf {T}}\mathbf {B} P} 761:{\displaystyle A=\left(a_{i,j}\right)_{i,j}} 5473:and the two members of this equation equal 4208:{\displaystyle \phi _{\mathrm {new} }^{-1}} 4165:{\displaystyle \phi _{\mathrm {old} }^{-1}} 5891: 5877: 5869: 5226:{\displaystyle \mathbf {v} ^{\mathsf {T}}} 4582:This is specially useful in the theory of 779:th column is formed by the coordinates of 5634: 5620: 5619: 5613: 5539: 5538: 5536: 5492: 5485: 5484: 5478: 5447: 5446: 5441: 5433: 5432: 5418: 5417: 5405: 5398: 5397: 5388: 5309: 5272: 5265: 5264: 5258: 5216: 5215: 5210: 5207: 5181: 5176: 5169: 5168: 5163: 5139: 5092: 5079: 5067: 5035: 5016: 5007: 4966: 4925: 4884: 4785: 4779: 4709: 4703: 4416: 4404: 4403: 4390: 4365: 4353: 4352: 4346: 4314: 4284: 4272: 4271: 4258: 4242: 4230: 4229: 4223: 4196: 4184: 4183: 4177: 4153: 4141: 4140: 4134: 4113: 4093: 4092: 4072: 4071: 4065: 4034: 4033: 4027: 3987: 3986: 3970: 3958: 3957: 3937: 3936: 3916: 3915: 3909: 3882: 3858: 3838: 3837: 3817: 3816: 3810: 3783: 3777: 3756: 3750: 3742:, one could consider it the matrix of an 3715: 3714: 3708: 3684: 3665: 3642: 3641: 3635: 3609: 3603: 3583: 3556: 3546: 3536: 3525: 3509: 3490: 3478: 3448: 3436: 3401: 3382: 3367: 3312: 3306: 3217: 3207: 3194: 3184: 3161: 3133: 3102: 3086: 3058: 3030: 3010: 2988: 2966: 2950: 2928: 2906: 2886: 2876: 2863: 2853: 2845: 2843: 2804: 2782: 2769: 2759: 2743: 2721: 2708: 2702: 2664: 2650: 2638: 2637: 2574: 2557: 2543: 2531: 2529: 2499: 2486: 2477: 2456: 2443: 2437: 2354: 2352: 2293: 2287: 2236: 2230: 2176: 2170: 2131: 2125: 2097: 2093: 2092: 2089: 2053: 2043: 2033: 2022: 2009: 1978: 1963: 1947: 1937: 1926: 1911: 1900: 1875: 1859: 1849: 1838: 1828: 1813: 1802: 1782: 1772: 1762: 1751: 1733: 1731: 1691: 1690: 1684: 1656: 1655: 1649: 1625: 1623: 1603: 1601: 1575: 1574: 1563: 1561: 1511: 1504: 1488: 1478: 1467: 1454: 1448: 1403: 1393: 1383: 1372: 1359: 1349: 1339: 1328: 1316: 1282: 1281: 1275: 1251: 1232: 1223: 1192: 1191: 1185: 1165: 1141: 1122: 1113: 1084: 1051: 1050: 1044: 1016: 1015: 1009: 957: 956: 950: 923: 904: 881: 880: 874: 847: 841: 809: 803: 746: 730: 713: 683: 667: 657: 646: 633: 627: 613:{\displaystyle B_{\mathrm {old} }\colon } 594: 593: 587: 560: 554: 492: 473: 450: 449: 443: 400: 368: 367: 362: 359: 331: 330: 325: 322: 288: 287: 282: 280: 261: 260: 255: 252: 127:Learn how and when to remove this message 5683:Covariance and contravariance of vectors 5863:Khan Academy Lecture on Change of Basis 5734: 5706: 5649:{\displaystyle P^{\mathsf {T}}=P^{-1}.} 3413:{\displaystyle B=(v_{1},\ldots ,v_{n})} 3268:a linear map, one refers implicitly to 2338:{\displaystyle w_{2}=(-\sin t,\cos t).} 790:. (Here and in what follows, the index 6282:Comparison of linear algebra libraries 5765: 5621: 5486: 5448: 5434: 5419: 5399: 5266: 5217: 5170: 4751:, are linear maps from a vector space 4630:. It is represented on "old" bases of 3731:{\displaystyle \phi _{\mathrm {old} }} 3463:{\displaystyle \phi \colon F^{n}\to V} 992:, or equivalently if it has a nonzero 5741: 5047:{\displaystyle (v_{1},\ldots ,v_{n})} 4652:. A change of bases is defined by an 2275:{\displaystyle w_{1}=(\cos t,\sin t)} 1263:{\displaystyle (y_{1},\ldots ,y_{n})} 1153:{\displaystyle (x_{1},\ldots ,x_{n})} 7: 4508:is the change-of-base formula, then 2472:are the new coordinates of a vector 65:adding citations to reliable sources 1710:{\displaystyle B_{\mathrm {new} },} 1301:{\displaystyle B_{\mathrm {new} };} 1211:{\displaystyle B_{\mathrm {old} },} 1070:{\displaystyle B_{\mathrm {new} }.} 236:Such a conversion results from the 27:Coordinate change in linear algebra 4691:On the "new" bases, the matrix of 4457:Function defined on a vector space 4411: 4408: 4405: 4360: 4357: 4354: 4279: 4276: 4273: 4237: 4234: 4231: 4191: 4188: 4185: 4148: 4145: 4142: 4100: 4097: 4094: 4079: 4076: 4073: 4050:{\displaystyle B_{\mathrm {new} }} 4041: 4038: 4035: 3994: 3991: 3988: 3965: 3962: 3959: 3944: 3941: 3938: 3923: 3920: 3917: 3845: 3842: 3839: 3824: 3821: 3818: 3722: 3719: 3716: 3649: 3646: 3643: 2347:So, the change-of-basis matrix is 1698: 1695: 1692: 1672:{\displaystyle B_{\mathrm {old} }} 1663: 1660: 1657: 1289: 1286: 1283: 1199: 1196: 1193: 1058: 1055: 1052: 1032:{\displaystyle B_{\mathrm {old} }} 1023: 1020: 1017: 973:{\displaystyle B_{\mathrm {new} }} 964: 961: 958: 888: 885: 882: 601: 598: 595: 457: 454: 451: 375: 372: 369: 338: 335: 332: 295: 292: 289: 268: 265: 262: 25: 5678:Active and passive transformation 2109:{\displaystyle \mathbb {R} ^{2}.} 6295: 6294: 6272:Basic Linear Algebra Subprograms 6030: 5832:Linear Algebra and Matrix Theory 5493: 5442: 5406: 5372:. It follows that the matrix of 5273: 5211: 5182: 5177: 5164: 2835:This may be verified by writing 1626: 1604: 1576: 1564: 832:refers always to the columns of 363: 326: 283: 256: 169: 143: 41: 6170:Seven-dimensional cross product 5754:Beauregard & Fraleigh (1973 4954:{\displaystyle v\mapsto B(w,v)} 4913:{\displaystyle v\mapsto B(v,w)} 4480:When the basis is changed, the 4465:that has a vector space as its 4060:Now, by composing the equation 2764: 2758: 1510: 513:finite-dimensional vector space 52:needs additional citations for 5414: 5390: 5347: 5335: 5326: 5314: 5156: 5144: 5104:{\displaystyle B(v_{i},v_{j})} 5098: 5072: 5041: 5009: 4948: 4936: 4930: 4907: 4895: 4889: 4434: 4431: 4425: 4396: 4380: 4374: 4003: 4000: 3979: 3950: 3690: 3658: 3515: 3483: 3454: 3407: 3375: 3167: 3154: 3148: 3126: 3120: 3108: 3092: 3079: 3073: 3051: 3045: 3036: 3003: 2959: 2943: 2899: 2514:{\displaystyle (x_{1},x_{2}),} 2505: 2479: 2329: 2302: 2269: 2245: 2197: 2185: 2152: 2140: 1257: 1225: 1147: 1115: 929: 897: 498: 466: 244:, this formula can be written 1: 5353:{\displaystyle B(v,w)=B(w,v)} 3343:is the basis that has as its 794:refers always to the rows of 162:, called the change of basis. 6012:Eigenvalues and eigenvectors 5588:, typically in the study of 5546:{\displaystyle \mathbb {R} } 4864:in both arguments. That is, 3264:When one says that a matrix 2206:{\displaystyle v_{2}=(0,1).} 1633:{\displaystyle \mathbf {y} } 1611:{\displaystyle \mathbf {x} } 4961:are linear for every fixed 4469:is commonly specified as a 3276:between a vector space and 2465:{\displaystyle y_{1},y_{2}} 2158:{\displaystyle v_{1}=(1,0)} 6342: 5834:(2nd ed.), New York: 5786:(5th ed.), New York: 5567:Sylvester's law of inertia 984:if and only if the matrix 538:, one can define a vector 29: 6290: 6028: 5906: 5859:, from MIT OpenCourseWare 5784:Elementary Linear Algebra 4806:{\displaystyle P^{-1}MP.} 4767:over an "old" basis, and 4730:{\displaystyle P^{-1}MQ.} 3765:{\displaystyle \psi _{A}} 3598:of the standard basis of 5830:Nering, Evar D. (1970), 5814:Houghton Mifflin Company 5694:Chirgwin-Coulson weights 4879:is bilinear if the maps 4215:on the right, one gets 2120:consists of the vectors 30:Not to be confused with 5298:symmetric bilinear form 4983:{\displaystyle w\in V.} 4680:change-of-basis matrix 4662:change-of-basis matrix 4559:differentiable function 4331:{\displaystyle v\in V,} 3244:In terms of linear maps 1438:change-of-basis formula 1101:{\displaystyle z\in V,} 575:{\displaystyle a_{i,j}} 434:Change of basis formula 238:change-of-basis formula 5997:Row and column vectors 5782:Anton, Howard (1987), 5650: 5547: 5504: 5464: 5354: 5287: 5227: 5193: 5105: 5048: 4984: 4955: 4914: 4807: 4763:of an endomorphism of 4731: 4444: 4332: 4300: 4209: 4166: 4123: 4051: 4013: 3891: 3890:{\displaystyle \circ } 3868: 3796: 3795:{\displaystyle F^{n}.} 3766: 3732: 3697: 3622: 3621:{\displaystyle F^{n}.} 3592: 3569: 3541: 3464: 3414: 3322: 3234: 2826: 2685: 2515: 2466: 2424: 2339: 2276: 2207: 2159: 2110: 2083:Euclidean vector space 2067: 2038: 1995: 1942: 1916: 1854: 1818: 1767: 1711: 1673: 1634: 1612: 1587: 1544: 1483: 1429:for the old basis and 1416: 1388: 1344: 1302: 1264: 1212: 1174: 1160:be the coordinates of 1154: 1102: 1071: 1033: 1002:change-of-basis matrix 974: 939: 860: 859:{\displaystyle w_{j};} 822: 821:{\displaystyle v_{i},} 762: 696: 662: 614: 576: 505: 417:change-of-basis matrix 409: 385: 348: 308: 229:on the other basis. A 6002:Row and column spaces 5947:Scalar multiplication 5651: 5548: 5505: 5465: 5355: 5288: 5228: 5194: 5111:. It follows that if 5106: 5049: 4985: 4956: 4915: 4808: 4732: 4471:multivariate function 4445: 4333: 4309:It follows that, for 4301: 4210: 4167: 4124: 4052: 4014: 3892: 3869: 3797: 3767: 3733: 3698: 3623: 3593: 3591:{\displaystyle \phi } 3570: 3521: 3465: 3415: 3323: 3321:{\displaystyle F^{n}} 3235: 2827: 2686: 2516: 2467: 2425: 2340: 2277: 2208: 2160: 2111: 2068: 2018: 1996: 1922: 1896: 1834: 1798: 1747: 1712: 1674: 1635: 1613: 1588: 1545: 1463: 1417: 1368: 1324: 1303: 1270:its coordinates over 1265: 1213: 1175: 1155: 1103: 1072: 1034: 975: 940: 861: 823: 763: 697: 642: 615: 577: 506: 410: 386: 349: 309: 160:linear transformation 18:Change of coordinates 6137:Gram–Schmidt process 6089:Gaussian elimination 5612: 5535: 5523:of the ground field 5477: 5387: 5308: 5257: 5206: 5138: 5066: 5006: 4965: 4924: 4883: 4778: 4702: 4345: 4313: 4222: 4176: 4133: 4064: 4026: 3908: 3899:function composition 3881: 3809: 3776: 3749: 3707: 3634: 3602: 3582: 3477: 3435: 3366: 3305: 3258:function application 2842: 2701: 2528: 2476: 2436: 2351: 2286: 2229: 2217:them by an angle of 2169: 2124: 2088: 2008: 1730: 1683: 1648: 1622: 1600: 1560: 1447: 1315: 1274: 1222: 1184: 1164: 1112: 1083: 1043: 1008: 949: 873: 840: 802: 712: 626: 586: 553: 442: 399: 358: 321: 251: 156:linearly independent 61:improve this article 6267:Numerical stability 6147:Multilinear algebra 6122:Inner product space 5972:Linear independence 5865:, from Khan Academy 5756:, pp. 240–243) 5744:, pp. 221–237) 5300:is a bilinear form 4998:of a bilinear form 4552:continuous function 4545:polynomial function 4424: 4373: 4292: 4250: 4204: 4161: 3978: 549:by its coordinates 5977:Linear combination 5688:Integral transform 5646: 5600:. In these cases, 5543: 5500: 5460: 5350: 5283: 5223: 5189: 5101: 5044: 4980: 4951: 4910: 4838:on a vector space 4803: 4727: 4622:to a vector space 4540:a linear function, 4440: 4399: 4348: 4328: 4296: 4267: 4225: 4205: 4179: 4162: 4136: 4119: 4047: 4009: 3953: 3887: 3864: 3792: 3762: 3728: 3693: 3618: 3588: 3565: 3460: 3430:linear isomorphism 3410: 3318: 3230: 3228: 2822: 2681: 2672: 2631: 2565: 2511: 2462: 2420: 2411: 2335: 2272: 2203: 2155: 2106: 2063: 2062: 1991: 1989: 1707: 1669: 1630: 1608: 1583: 1540: 1412: 1298: 1260: 1208: 1170: 1150: 1098: 1067: 1029: 1000:is said to be the 970: 935: 856: 818: 758: 692: 610: 572: 501: 427:on the old basis. 405: 381: 344: 304: 152:linear combination 6308: 6307: 6175:Geometric algebra 6132:Kronecker product 5967:Linear projection 5952:Vector projection 5768:, pp. 50–52) 5602:orthonormal bases 4818:invertible matrix 4573:analytic function 2762: 1514: 1173:{\displaystyle z} 421:transition matrix 408:{\displaystyle A} 204:coordinate vector 137: 136: 129: 111: 76:"Change of basis" 16:(Redirected from 6333: 6298: 6297: 6180:Exterior algebra 6117:Hadamard product 6034: 6022:Linear equations 5893: 5886: 5879: 5870: 5846: 5826: 5811: 5800: 5769: 5763: 5757: 5751: 5745: 5739: 5722: 5711: 5658:Spectral theorem 5655: 5653: 5652: 5647: 5642: 5641: 5626: 5625: 5624: 5576: 5572: 5564: 5560: 5552: 5550: 5549: 5544: 5542: 5526: 5515: 5509: 5507: 5506: 5501: 5496: 5491: 5490: 5489: 5469: 5467: 5466: 5461: 5453: 5452: 5451: 5445: 5439: 5438: 5437: 5424: 5423: 5422: 5409: 5404: 5403: 5402: 5376:on any basis is 5375: 5371: 5367: 5363: 5359: 5357: 5356: 5351: 5303: 5292: 5290: 5289: 5284: 5276: 5271: 5270: 5269: 5249: 5242: 5232: 5230: 5229: 5224: 5222: 5221: 5220: 5214: 5198: 5196: 5195: 5190: 5185: 5180: 5175: 5174: 5173: 5167: 5130: 5126: 5122: 5116: 5110: 5108: 5107: 5102: 5097: 5096: 5084: 5083: 5061: 5057: 5053: 5051: 5050: 5045: 5040: 5039: 5021: 5020: 5001: 4997: 4989: 4987: 4986: 4981: 4960: 4958: 4957: 4952: 4919: 4917: 4916: 4911: 4878: 4859: 4848: 4812: 4810: 4809: 4804: 4793: 4792: 4770: 4766: 4758: 4754: 4736: 4734: 4733: 4728: 4717: 4716: 4694: 4687: 4683: 4679: 4669: 4665: 4661: 4651: 4647: 4637: 4633: 4629: 4625: 4621: 4617: 4610: 4534:linear functions 4529:is needed here. 4527:matrix inversion 4521: 4507: 4494: 4449: 4447: 4446: 4441: 4423: 4415: 4414: 4395: 4394: 4372: 4364: 4363: 4337: 4335: 4334: 4329: 4305: 4303: 4302: 4297: 4291: 4283: 4282: 4263: 4262: 4249: 4241: 4240: 4214: 4212: 4211: 4206: 4203: 4195: 4194: 4172:on the left and 4171: 4169: 4168: 4163: 4160: 4152: 4151: 4128: 4126: 4125: 4120: 4118: 4117: 4105: 4104: 4103: 4084: 4083: 4082: 4056: 4054: 4053: 4048: 4046: 4045: 4044: 4018: 4016: 4015: 4010: 3999: 3998: 3997: 3977: 3969: 3968: 3949: 3948: 3947: 3928: 3927: 3926: 3896: 3894: 3893: 3888: 3873: 3871: 3870: 3865: 3863: 3862: 3850: 3849: 3848: 3829: 3828: 3827: 3802:Finally, define 3801: 3799: 3798: 3793: 3788: 3787: 3771: 3769: 3768: 3763: 3761: 3760: 3741: 3737: 3735: 3734: 3729: 3727: 3726: 3725: 3702: 3700: 3699: 3694: 3689: 3688: 3670: 3669: 3654: 3653: 3652: 3627: 3625: 3624: 3619: 3614: 3613: 3597: 3595: 3594: 3589: 3574: 3572: 3571: 3566: 3561: 3560: 3551: 3550: 3540: 3535: 3514: 3513: 3495: 3494: 3469: 3467: 3466: 3461: 3453: 3452: 3427: 3423: 3419: 3417: 3416: 3411: 3406: 3405: 3387: 3386: 3358: 3354: 3350: 3346: 3338: 3332: 3327: 3325: 3324: 3319: 3317: 3316: 3296: 3285: 3281: 3239: 3237: 3236: 3231: 3229: 3222: 3221: 3212: 3211: 3199: 3198: 3189: 3188: 3173: 3166: 3165: 3138: 3137: 3107: 3106: 3091: 3090: 3063: 3062: 3035: 3034: 3019: 3015: 3014: 2993: 2992: 2971: 2970: 2955: 2954: 2933: 2932: 2911: 2910: 2891: 2890: 2881: 2880: 2868: 2867: 2858: 2857: 2831: 2829: 2828: 2823: 2809: 2808: 2787: 2786: 2774: 2773: 2763: 2760: 2748: 2747: 2726: 2725: 2713: 2712: 2690: 2688: 2687: 2682: 2677: 2676: 2669: 2668: 2655: 2654: 2636: 2635: 2570: 2569: 2562: 2561: 2548: 2547: 2520: 2518: 2517: 2512: 2504: 2503: 2491: 2490: 2471: 2469: 2468: 2463: 2461: 2460: 2448: 2447: 2429: 2427: 2426: 2421: 2416: 2415: 2344: 2342: 2341: 2336: 2298: 2297: 2281: 2279: 2278: 2273: 2241: 2240: 2220: 2212: 2210: 2209: 2204: 2181: 2180: 2164: 2162: 2161: 2156: 2136: 2135: 2115: 2113: 2112: 2107: 2102: 2101: 2096: 2072: 2070: 2069: 2064: 2058: 2057: 2048: 2047: 2037: 2032: 2000: 1998: 1997: 1992: 1990: 1983: 1982: 1973: 1969: 1968: 1967: 1958: 1957: 1941: 1936: 1915: 1910: 1889: 1885: 1881: 1880: 1879: 1870: 1869: 1853: 1848: 1833: 1832: 1817: 1812: 1791: 1787: 1786: 1777: 1776: 1766: 1761: 1716: 1714: 1713: 1708: 1703: 1702: 1701: 1678: 1676: 1675: 1670: 1668: 1667: 1666: 1643: 1639: 1637: 1636: 1631: 1629: 1617: 1615: 1614: 1609: 1607: 1592: 1590: 1589: 1584: 1579: 1567: 1549: 1547: 1546: 1541: 1515: 1512: 1509: 1508: 1499: 1498: 1482: 1477: 1459: 1458: 1432: 1428: 1421: 1419: 1418: 1413: 1408: 1407: 1398: 1397: 1387: 1382: 1364: 1363: 1354: 1353: 1343: 1338: 1307: 1305: 1304: 1299: 1294: 1293: 1292: 1269: 1267: 1266: 1261: 1256: 1255: 1237: 1236: 1217: 1215: 1214: 1209: 1204: 1203: 1202: 1179: 1177: 1176: 1171: 1159: 1157: 1156: 1151: 1146: 1145: 1127: 1126: 1107: 1105: 1104: 1099: 1076: 1074: 1073: 1068: 1063: 1062: 1061: 1038: 1036: 1035: 1030: 1028: 1027: 1026: 999: 996:. In this case, 987: 983: 979: 977: 976: 971: 969: 968: 967: 944: 942: 941: 936: 928: 927: 909: 908: 893: 892: 891: 865: 863: 862: 857: 852: 851: 835: 831: 828:while the index 827: 825: 824: 819: 814: 813: 797: 793: 789: 778: 767: 765: 764: 759: 757: 756: 745: 741: 740: 701: 699: 698: 693: 688: 687: 678: 677: 661: 656: 638: 637: 619: 617: 616: 611: 606: 605: 604: 581: 579: 578: 573: 571: 570: 548: 537: 524: 517: 511:be a basis of a 510: 508: 507: 502: 497: 496: 478: 477: 462: 461: 460: 414: 412: 411: 406: 390: 388: 387: 382: 380: 379: 378: 366: 353: 351: 350: 345: 343: 342: 341: 329: 313: 311: 310: 305: 300: 299: 298: 286: 273: 272: 271: 259: 228: 224: 213: 201: 173: 147: 132: 125: 121: 118: 112: 110: 69: 45: 37: 21: 6341: 6340: 6336: 6335: 6334: 6332: 6331: 6330: 6311: 6310: 6309: 6304: 6286: 6248: 6204: 6141: 6093: 6035: 6026: 5992:Change of basis 5982:Multilinear map 5920: 5902: 5897: 5853: 5829: 5824: 5803: 5798: 5781: 5778: 5773: 5772: 5764: 5760: 5752: 5748: 5740: 5736: 5731: 5726: 5725: 5712: 5708: 5703: 5674: 5630: 5615: 5610: 5609: 5574: 5570: 5562: 5558: 5533: 5532: 5524: 5511: 5480: 5475: 5474: 5440: 5428: 5413: 5393: 5385: 5384: 5373: 5369: 5365: 5361: 5306: 5305: 5301: 5260: 5255: 5254: 5247: 5238: 5209: 5204: 5203: 5162: 5136: 5135: 5128: 5124: 5118: 5112: 5088: 5075: 5064: 5063: 5059: 5055: 5031: 5012: 5004: 5003: 4999: 4993: 4963: 4962: 4922: 4921: 4881: 4880: 4865: 4850: 4846: 4830: 4781: 4776: 4775: 4768: 4764: 4756: 4752: 4746: 4705: 4700: 4699: 4692: 4685: 4681: 4671: 4667: 4663: 4653: 4649: 4639: 4635: 4631: 4627: 4623: 4619: 4615: 4598: 4592: 4566:smooth function 4509: 4496: 4485: 4459: 4386: 4343: 4342: 4311: 4310: 4254: 4220: 4219: 4174: 4173: 4131: 4130: 4109: 4088: 4067: 4062: 4061: 4029: 4024: 4023: 3982: 3932: 3911: 3906: 3905: 3879: 3878: 3854: 3833: 3812: 3807: 3806: 3779: 3774: 3773: 3752: 3747: 3746: 3739: 3710: 3705: 3704: 3680: 3661: 3637: 3632: 3631: 3605: 3600: 3599: 3580: 3579: 3552: 3542: 3505: 3486: 3475: 3474: 3444: 3433: 3432: 3425: 3421: 3397: 3378: 3364: 3363: 3356: 3352: 3348: 3344: 3336: 3330: 3308: 3303: 3302: 3294: 3283: 3277: 3246: 3227: 3226: 3213: 3203: 3190: 3180: 3171: 3170: 3157: 3129: 3098: 3082: 3054: 3026: 3017: 3016: 3006: 2984: 2962: 2946: 2924: 2902: 2892: 2882: 2872: 2859: 2849: 2840: 2839: 2800: 2778: 2765: 2739: 2717: 2704: 2699: 2698: 2671: 2670: 2660: 2657: 2656: 2646: 2639: 2630: 2629: 2618: 2606: 2605: 2591: 2575: 2564: 2563: 2553: 2550: 2549: 2539: 2532: 2526: 2525: 2495: 2482: 2474: 2473: 2452: 2439: 2434: 2433: 2410: 2409: 2398: 2386: 2385: 2371: 2355: 2349: 2348: 2289: 2284: 2283: 2232: 2227: 2226: 2218: 2172: 2167: 2166: 2127: 2122: 2121: 2091: 2086: 2085: 2079: 2049: 2039: 2006: 2005: 1988: 1987: 1974: 1959: 1943: 1921: 1917: 1887: 1886: 1871: 1855: 1824: 1823: 1819: 1789: 1788: 1778: 1768: 1740: 1728: 1727: 1686: 1681: 1680: 1651: 1646: 1645: 1641: 1620: 1619: 1598: 1597: 1558: 1557: 1500: 1484: 1450: 1445: 1444: 1430: 1426: 1399: 1389: 1355: 1345: 1313: 1312: 1277: 1272: 1271: 1247: 1228: 1220: 1219: 1187: 1182: 1181: 1162: 1161: 1137: 1118: 1110: 1109: 1081: 1080: 1079:Given a vector 1046: 1041: 1040: 1011: 1006: 1005: 1004:from the basis 997: 985: 981: 952: 947: 946: 919: 900: 876: 871: 870: 843: 838: 837: 833: 829: 805: 800: 799: 795: 791: 788: 780: 776: 726: 722: 721: 710: 709: 679: 663: 629: 624: 623: 589: 584: 583: 556: 551: 550: 547: 539: 529: 522: 515: 488: 469: 445: 440: 439: 436: 397: 396: 361: 356: 355: 324: 319: 318: 281: 254: 249: 248: 231:change of basis 226: 222: 211: 199: 181: 180: 179: 178: 177: 174: 165: 164: 163: 148: 133: 122: 116: 113: 70: 68: 58: 46: 35: 28: 23: 22: 15: 12: 11: 5: 6339: 6337: 6329: 6328: 6323: 6321:Linear algebra 6313: 6312: 6306: 6305: 6303: 6302: 6291: 6288: 6287: 6285: 6284: 6279: 6274: 6269: 6264: 6262:Floating-point 6258: 6256: 6250: 6249: 6247: 6246: 6244:Tensor product 6241: 6236: 6231: 6229:Function space 6226: 6221: 6215: 6213: 6206: 6205: 6203: 6202: 6197: 6192: 6187: 6182: 6177: 6172: 6167: 6165:Triple product 6162: 6157: 6151: 6149: 6143: 6142: 6140: 6139: 6134: 6129: 6124: 6119: 6114: 6109: 6103: 6101: 6095: 6094: 6092: 6091: 6086: 6081: 6079:Transformation 6076: 6071: 6069:Multiplication 6066: 6061: 6056: 6051: 6045: 6043: 6037: 6036: 6029: 6027: 6025: 6024: 6019: 6014: 6009: 6004: 5999: 5994: 5989: 5984: 5979: 5974: 5969: 5964: 5959: 5954: 5949: 5944: 5939: 5934: 5928: 5926: 5925:Basic concepts 5922: 5921: 5919: 5918: 5913: 5907: 5904: 5903: 5900:Linear algebra 5898: 5896: 5895: 5888: 5881: 5873: 5867: 5866: 5860: 5852: 5851:External links 5849: 5848: 5847: 5827: 5822: 5801: 5796: 5777: 5774: 5771: 5770: 5758: 5746: 5733: 5732: 5730: 5727: 5724: 5723: 5705: 5704: 5702: 5699: 5698: 5697: 5691: 5685: 5680: 5673: 5670: 5666:diagonalizable 5645: 5640: 5637: 5633: 5629: 5623: 5618: 5541: 5521:characteristic 5516:is symmetric. 5510:if the matrix 5499: 5495: 5488: 5483: 5471: 5470: 5459: 5456: 5450: 5444: 5436: 5431: 5427: 5421: 5416: 5412: 5408: 5401: 5396: 5392: 5349: 5346: 5343: 5340: 5337: 5334: 5331: 5328: 5325: 5322: 5319: 5316: 5313: 5294: 5293: 5282: 5279: 5275: 5268: 5263: 5237:of the matrix 5219: 5213: 5200: 5199: 5188: 5184: 5179: 5172: 5166: 5161: 5158: 5155: 5152: 5149: 5146: 5143: 5100: 5095: 5091: 5087: 5082: 5078: 5074: 5071: 5043: 5038: 5034: 5030: 5027: 5024: 5019: 5015: 5011: 4979: 4976: 4973: 4970: 4950: 4947: 4944: 4941: 4938: 4935: 4932: 4929: 4909: 4906: 4903: 4900: 4897: 4894: 4891: 4888: 4849:is a function 4829: 4828:Bilinear forms 4826: 4814: 4813: 4802: 4799: 4796: 4791: 4788: 4784: 4745: 4742: 4738: 4737: 4726: 4723: 4720: 4715: 4712: 4708: 4591: 4588: 4577: 4576: 4569: 4562: 4555: 4548: 4541: 4458: 4455: 4451: 4450: 4439: 4436: 4433: 4430: 4427: 4422: 4419: 4413: 4410: 4407: 4402: 4398: 4393: 4389: 4385: 4382: 4379: 4376: 4371: 4368: 4362: 4359: 4356: 4351: 4327: 4324: 4321: 4318: 4307: 4306: 4295: 4290: 4287: 4281: 4278: 4275: 4270: 4266: 4261: 4257: 4253: 4248: 4245: 4239: 4236: 4233: 4228: 4202: 4199: 4193: 4190: 4187: 4182: 4159: 4156: 4150: 4147: 4144: 4139: 4116: 4112: 4108: 4102: 4099: 4096: 4091: 4087: 4081: 4078: 4075: 4070: 4043: 4040: 4037: 4032: 4020: 4019: 4008: 4005: 4002: 3996: 3993: 3990: 3985: 3981: 3976: 3973: 3967: 3964: 3961: 3956: 3952: 3946: 3943: 3940: 3935: 3931: 3925: 3922: 3919: 3914: 3886: 3875: 3874: 3861: 3857: 3853: 3847: 3844: 3841: 3836: 3832: 3826: 3823: 3820: 3815: 3791: 3786: 3782: 3759: 3755: 3724: 3721: 3718: 3713: 3692: 3687: 3683: 3679: 3676: 3673: 3668: 3664: 3660: 3657: 3651: 3648: 3645: 3640: 3617: 3612: 3608: 3587: 3576: 3575: 3564: 3559: 3555: 3549: 3545: 3539: 3534: 3531: 3528: 3524: 3520: 3517: 3512: 3508: 3504: 3501: 3498: 3493: 3489: 3485: 3482: 3459: 3456: 3451: 3447: 3443: 3440: 3424:-vector space 3409: 3404: 3400: 3396: 3393: 3390: 3385: 3381: 3377: 3374: 3371: 3341:standard basis 3315: 3311: 3245: 3242: 3241: 3240: 3225: 3220: 3216: 3210: 3206: 3202: 3197: 3193: 3187: 3183: 3179: 3176: 3174: 3172: 3169: 3164: 3160: 3156: 3153: 3150: 3147: 3144: 3141: 3136: 3132: 3128: 3125: 3122: 3119: 3116: 3113: 3110: 3105: 3101: 3097: 3094: 3089: 3085: 3081: 3078: 3075: 3072: 3069: 3066: 3061: 3057: 3053: 3050: 3047: 3044: 3041: 3038: 3033: 3029: 3025: 3022: 3020: 3018: 3013: 3009: 3005: 3002: 2999: 2996: 2991: 2987: 2983: 2980: 2977: 2974: 2969: 2965: 2961: 2958: 2953: 2949: 2945: 2942: 2939: 2936: 2931: 2927: 2923: 2920: 2917: 2914: 2909: 2905: 2901: 2898: 2895: 2893: 2889: 2885: 2879: 2875: 2871: 2866: 2862: 2856: 2852: 2848: 2847: 2833: 2832: 2821: 2818: 2815: 2812: 2807: 2803: 2799: 2796: 2793: 2790: 2785: 2781: 2777: 2772: 2768: 2757: 2754: 2751: 2746: 2742: 2738: 2735: 2732: 2729: 2724: 2720: 2716: 2711: 2707: 2692: 2691: 2680: 2675: 2667: 2663: 2659: 2658: 2653: 2649: 2645: 2644: 2642: 2634: 2628: 2625: 2622: 2619: 2617: 2614: 2611: 2608: 2607: 2604: 2601: 2598: 2595: 2592: 2590: 2587: 2584: 2581: 2580: 2578: 2573: 2568: 2560: 2556: 2552: 2551: 2546: 2542: 2538: 2537: 2535: 2510: 2507: 2502: 2498: 2494: 2489: 2485: 2481: 2459: 2455: 2451: 2446: 2442: 2419: 2414: 2408: 2405: 2402: 2399: 2397: 2394: 2391: 2388: 2387: 2384: 2381: 2378: 2375: 2372: 2370: 2367: 2364: 2361: 2360: 2358: 2334: 2331: 2328: 2325: 2322: 2319: 2316: 2313: 2310: 2307: 2304: 2301: 2296: 2292: 2271: 2268: 2265: 2262: 2259: 2256: 2253: 2250: 2247: 2244: 2239: 2235: 2202: 2199: 2196: 2193: 2190: 2187: 2184: 2179: 2175: 2154: 2151: 2148: 2145: 2142: 2139: 2134: 2130: 2118:standard basis 2105: 2100: 2095: 2078: 2075: 2061: 2056: 2052: 2046: 2042: 2036: 2031: 2028: 2025: 2021: 2016: 2013: 2002: 2001: 1986: 1981: 1977: 1972: 1966: 1962: 1956: 1953: 1950: 1946: 1940: 1935: 1932: 1929: 1925: 1920: 1914: 1909: 1906: 1903: 1899: 1895: 1892: 1890: 1888: 1884: 1878: 1874: 1868: 1865: 1862: 1858: 1852: 1847: 1844: 1841: 1837: 1831: 1827: 1822: 1816: 1811: 1808: 1805: 1801: 1797: 1794: 1792: 1790: 1785: 1781: 1775: 1771: 1765: 1760: 1757: 1754: 1750: 1746: 1743: 1741: 1739: 1736: 1735: 1717:respectively. 1706: 1700: 1697: 1694: 1689: 1665: 1662: 1659: 1654: 1628: 1606: 1594: 1593: 1582: 1578: 1573: 1570: 1566: 1551: 1550: 1539: 1536: 1533: 1530: 1527: 1524: 1521: 1518: 1507: 1503: 1497: 1494: 1491: 1487: 1481: 1476: 1473: 1470: 1466: 1462: 1457: 1453: 1423: 1422: 1411: 1406: 1402: 1396: 1392: 1386: 1381: 1378: 1375: 1371: 1367: 1362: 1358: 1352: 1348: 1342: 1337: 1334: 1331: 1327: 1323: 1320: 1297: 1291: 1288: 1285: 1280: 1259: 1254: 1250: 1246: 1243: 1240: 1235: 1231: 1227: 1207: 1201: 1198: 1195: 1190: 1169: 1149: 1144: 1140: 1136: 1133: 1130: 1125: 1121: 1117: 1097: 1094: 1091: 1088: 1066: 1060: 1057: 1054: 1049: 1025: 1022: 1019: 1014: 980:is a basis of 966: 963: 960: 955: 934: 931: 926: 922: 918: 915: 912: 907: 903: 899: 896: 890: 887: 884: 879: 855: 850: 846: 817: 812: 808: 784: 769: 768: 755: 752: 749: 744: 739: 736: 733: 729: 725: 720: 717: 703: 702: 691: 686: 682: 676: 673: 670: 666: 660: 655: 652: 649: 645: 641: 636: 632: 609: 603: 600: 597: 592: 569: 566: 563: 559: 543: 500: 495: 491: 487: 484: 481: 476: 472: 468: 465: 459: 456: 453: 448: 435: 432: 404: 393:column vectors 377: 374: 371: 365: 340: 337: 334: 328: 315: 314: 303: 297: 294: 291: 285: 279: 276: 270: 267: 264: 258: 175: 168: 167: 166: 149: 142: 141: 140: 139: 138: 135: 134: 49: 47: 40: 32:Change of base 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 6338: 6327: 6326:Matrix theory 6324: 6322: 6319: 6318: 6316: 6301: 6293: 6292: 6289: 6283: 6280: 6278: 6277:Sparse matrix 6275: 6273: 6270: 6268: 6265: 6263: 6260: 6259: 6257: 6255: 6251: 6245: 6242: 6240: 6237: 6235: 6232: 6230: 6227: 6225: 6222: 6220: 6217: 6216: 6214: 6212:constructions 6211: 6207: 6201: 6200:Outermorphism 6198: 6196: 6193: 6191: 6188: 6186: 6183: 6181: 6178: 6176: 6173: 6171: 6168: 6166: 6163: 6161: 6160:Cross product 6158: 6156: 6153: 6152: 6150: 6148: 6144: 6138: 6135: 6133: 6130: 6128: 6127:Outer product 6125: 6123: 6120: 6118: 6115: 6113: 6110: 6108: 6107:Orthogonality 6105: 6104: 6102: 6100: 6096: 6090: 6087: 6085: 6084:Cramer's rule 6082: 6080: 6077: 6075: 6072: 6070: 6067: 6065: 6062: 6060: 6057: 6055: 6054:Decomposition 6052: 6050: 6047: 6046: 6044: 6042: 6038: 6033: 6023: 6020: 6018: 6015: 6013: 6010: 6008: 6005: 6003: 6000: 5998: 5995: 5993: 5990: 5988: 5985: 5983: 5980: 5978: 5975: 5973: 5970: 5968: 5965: 5963: 5960: 5958: 5955: 5953: 5950: 5948: 5945: 5943: 5940: 5938: 5935: 5933: 5930: 5929: 5927: 5923: 5917: 5914: 5912: 5909: 5908: 5905: 5901: 5894: 5889: 5887: 5882: 5880: 5875: 5874: 5871: 5864: 5861: 5858: 5855: 5854: 5850: 5845: 5841: 5837: 5833: 5828: 5825: 5823:0-395-14017-X 5819: 5815: 5810: 5809: 5802: 5799: 5797:0-471-84819-0 5793: 5789: 5785: 5780: 5779: 5775: 5767: 5762: 5759: 5755: 5750: 5747: 5743: 5738: 5735: 5728: 5720: 5719:ordered basis 5716: 5710: 5707: 5700: 5695: 5692: 5689: 5686: 5684: 5681: 5679: 5676: 5675: 5671: 5669: 5667: 5663: 5659: 5643: 5638: 5635: 5631: 5627: 5616: 5607: 5603: 5599: 5595: 5591: 5587: 5583: 5578: 5568: 5556: 5530: 5522: 5517: 5514: 5497: 5481: 5457: 5454: 5429: 5425: 5410: 5394: 5383: 5382: 5381: 5379: 5344: 5341: 5338: 5332: 5329: 5323: 5320: 5317: 5311: 5299: 5280: 5277: 5261: 5253: 5252: 5251: 5244: 5241: 5236: 5186: 5159: 5153: 5150: 5147: 5141: 5134: 5133: 5132: 5121: 5115: 5093: 5089: 5085: 5080: 5076: 5069: 5062:th column is 5036: 5032: 5028: 5025: 5022: 5017: 5013: 4996: 4990: 4977: 4974: 4971: 4968: 4945: 4942: 4939: 4933: 4927: 4904: 4901: 4898: 4892: 4886: 4876: 4872: 4868: 4863: 4857: 4853: 4845: 4841: 4837: 4836: 4835:bilinear form 4827: 4825: 4823: 4819: 4800: 4797: 4794: 4789: 4786: 4782: 4774: 4773: 4772: 4762: 4761:square matrix 4750: 4749:Endomorphisms 4744:Endomorphisms 4743: 4741: 4724: 4721: 4718: 4713: 4710: 4706: 4698: 4697: 4696: 4689: 4678: 4674: 4660: 4656: 4646: 4642: 4626:of dimension 4618:of dimension 4614: 4609: 4605: 4601: 4597: 4589: 4587: 4585: 4580: 4574: 4570: 4567: 4563: 4560: 4556: 4553: 4549: 4546: 4542: 4539: 4538: 4537: 4535: 4530: 4528: 4523: 4519: 4516: 4512: 4506: 4503: 4499: 4492: 4488: 4483: 4478: 4476: 4472: 4468: 4464: 4456: 4454: 4437: 4428: 4420: 4417: 4400: 4391: 4387: 4383: 4377: 4369: 4366: 4349: 4341: 4340: 4339: 4325: 4322: 4319: 4316: 4293: 4288: 4285: 4268: 4264: 4259: 4255: 4251: 4246: 4243: 4226: 4218: 4217: 4216: 4200: 4197: 4180: 4157: 4154: 4137: 4114: 4110: 4106: 4089: 4085: 4068: 4058: 4030: 4006: 3983: 3974: 3971: 3954: 3933: 3929: 3912: 3904: 3903: 3902: 3900: 3884: 3859: 3855: 3851: 3834: 3830: 3813: 3805: 3804: 3803: 3789: 3784: 3780: 3757: 3753: 3745: 3711: 3685: 3681: 3677: 3674: 3671: 3666: 3662: 3655: 3638: 3628: 3615: 3610: 3606: 3585: 3562: 3557: 3553: 3547: 3543: 3537: 3532: 3529: 3526: 3522: 3518: 3510: 3506: 3502: 3499: 3496: 3491: 3487: 3480: 3473: 3472: 3471: 3457: 3449: 3445: 3441: 3438: 3431: 3402: 3398: 3394: 3391: 3388: 3383: 3379: 3372: 3369: 3360: 3342: 3334: 3313: 3309: 3300: 3291: 3289: 3280: 3275: 3271: 3267: 3262: 3259: 3255: 3252:represents a 3251: 3243: 3223: 3218: 3214: 3208: 3204: 3200: 3195: 3191: 3185: 3181: 3177: 3175: 3162: 3158: 3151: 3145: 3142: 3139: 3134: 3130: 3123: 3117: 3114: 3111: 3103: 3099: 3095: 3087: 3083: 3076: 3070: 3067: 3064: 3059: 3055: 3048: 3042: 3039: 3031: 3027: 3023: 3021: 3011: 3007: 3000: 2997: 2994: 2989: 2985: 2981: 2978: 2975: 2972: 2967: 2963: 2956: 2951: 2947: 2940: 2937: 2934: 2929: 2925: 2921: 2918: 2915: 2912: 2907: 2903: 2896: 2894: 2887: 2883: 2877: 2873: 2869: 2864: 2860: 2854: 2850: 2838: 2837: 2836: 2819: 2816: 2813: 2810: 2805: 2801: 2797: 2794: 2791: 2788: 2783: 2779: 2775: 2770: 2766: 2755: 2752: 2749: 2744: 2740: 2736: 2733: 2730: 2727: 2722: 2718: 2714: 2709: 2705: 2697: 2696: 2695: 2678: 2673: 2665: 2661: 2651: 2647: 2640: 2632: 2626: 2623: 2620: 2615: 2612: 2609: 2602: 2599: 2596: 2593: 2588: 2585: 2582: 2576: 2571: 2566: 2558: 2554: 2544: 2540: 2533: 2524: 2523: 2522: 2521:then one has 2508: 2500: 2496: 2492: 2487: 2483: 2457: 2453: 2449: 2444: 2440: 2430: 2417: 2412: 2406: 2403: 2400: 2395: 2392: 2389: 2382: 2379: 2376: 2373: 2368: 2365: 2362: 2356: 2345: 2332: 2326: 2323: 2320: 2317: 2314: 2311: 2308: 2305: 2299: 2294: 2290: 2266: 2263: 2260: 2257: 2254: 2251: 2248: 2242: 2237: 2233: 2224: 2221:, one gets a 2216: 2200: 2194: 2191: 2188: 2182: 2177: 2173: 2149: 2146: 2143: 2137: 2132: 2128: 2119: 2103: 2098: 2084: 2081:Consider the 2076: 2074: 2059: 2054: 2050: 2044: 2040: 2034: 2029: 2026: 2023: 2019: 2014: 2011: 1984: 1979: 1975: 1970: 1964: 1960: 1954: 1951: 1948: 1944: 1938: 1933: 1930: 1927: 1923: 1918: 1912: 1907: 1904: 1901: 1897: 1893: 1891: 1882: 1876: 1872: 1866: 1863: 1860: 1856: 1850: 1845: 1842: 1839: 1835: 1829: 1825: 1820: 1814: 1809: 1806: 1803: 1799: 1795: 1793: 1783: 1779: 1773: 1769: 1763: 1758: 1755: 1752: 1748: 1744: 1742: 1737: 1726: 1725: 1724: 1722: 1718: 1704: 1687: 1652: 1580: 1571: 1568: 1556: 1555: 1554: 1537: 1534: 1531: 1528: 1525: 1522: 1519: 1516: 1505: 1501: 1495: 1492: 1489: 1485: 1479: 1474: 1471: 1468: 1464: 1460: 1455: 1451: 1443: 1442: 1441: 1439: 1434: 1409: 1404: 1400: 1394: 1390: 1384: 1379: 1376: 1373: 1369: 1365: 1360: 1356: 1350: 1346: 1340: 1335: 1332: 1329: 1325: 1321: 1318: 1311: 1310: 1309: 1295: 1278: 1252: 1248: 1244: 1241: 1238: 1233: 1229: 1205: 1188: 1167: 1142: 1138: 1134: 1131: 1128: 1123: 1119: 1095: 1092: 1089: 1086: 1077: 1064: 1047: 1039:to the basis 1012: 1003: 995: 991: 953: 945:one has that 932: 924: 920: 916: 913: 910: 905: 901: 894: 877: 867: 853: 848: 844: 815: 810: 806: 787: 783: 774: 753: 750: 747: 742: 737: 734: 731: 727: 723: 718: 715: 708: 707: 706: 689: 684: 680: 674: 671: 668: 664: 658: 653: 650: 647: 643: 639: 634: 630: 622: 621: 620: 607: 590: 567: 564: 561: 557: 546: 542: 536: 532: 526: 521: 514: 493: 489: 485: 482: 479: 474: 470: 463: 446: 433: 431: 428: 426: 425:basis vectors 422: 419:(also called 418: 402: 394: 301: 277: 274: 247: 246: 245: 243: 239: 234: 232: 220: 216: 209: 206:, which is a 205: 198: 194: 190: 189:ordered basis 186: 172: 161: 157: 153: 146: 131: 128: 120: 117:November 2017 109: 106: 102: 99: 95: 92: 88: 85: 81: 78: –  77: 73: 72:Find sources: 66: 62: 56: 55: 50:This article 48: 44: 39: 38: 33: 19: 6210:Vector space 5991: 5942:Vector space 5831: 5807: 5783: 5776:Bibliography 5766:Nering (1970 5761: 5749: 5737: 5709: 5579: 5555:real numbers 5518: 5512: 5472: 5295: 5245: 5239: 5233:denotes the 5201: 5119: 5113: 4994: 4991: 4874: 4870: 4866: 4855: 4851: 4839: 4833: 4831: 4815: 4747: 4739: 4690: 4676: 4672: 4658: 4654: 4644: 4640: 4613:vector space 4607: 4603: 4599: 4593: 4581: 4578: 4531: 4524: 4517: 4514: 4510: 4504: 4501: 4497: 4490: 4486: 4479: 4460: 4452: 4308: 4059: 4021: 3876: 3744:endomorphism 3629: 3577: 3361: 3292: 3278: 3265: 3263: 3248:Normally, a 3247: 2834: 2693: 2431: 2346: 2222: 2080: 2003: 1720: 1719: 1595: 1552: 1437: 1435: 1424: 1078: 1001: 868: 785: 781: 770: 704: 544: 540: 534: 530: 527: 437: 429: 420: 416: 316: 237: 235: 230: 193:vector space 182: 123: 114: 104: 97: 90: 83: 71: 59:Please help 54:verification 51: 6190:Multivector 6155:Determinant 6112:Dot product 5957:Linear span 5742:Anton (1987 5662:eigenvalues 5592:and of the 5058:th row and 5002:on a basis 4992:The matrix 4594:Consider a 4590:Linear maps 3355:th that is 3351:except the 3274:isomorphism 994:determinant 219:coordinates 185:mathematics 6315:Categories 6224:Direct sum 6059:Invertible 5962:Linear map 5812:, Boston: 5729:References 5606:orthogonal 5598:rigid body 5360:for every 5304:such that 5131:, one has 4596:linear map 4482:expression 3428:defines a 3301:, the set 3266:represents 3254:linear map 2694:That is, 2225:formed by 990:invertible 533:= 1, ..., 195:of finite 87:newspapers 6254:Numerical 6017:Transpose 5636:− 5378:symmetric 5235:transpose 5026:… 4972:∈ 4931:↦ 4890:↦ 4860:which is 4816:As every 4787:− 4711:− 4670:, and an 4584:manifolds 4418:− 4401:ϕ 4388:ψ 4367:− 4350:ϕ 4338:one has 4320:∈ 4286:− 4269:ϕ 4265:∘ 4256:ψ 4244:− 4227:ϕ 4198:− 4181:ϕ 4155:− 4138:ϕ 4111:ψ 4107:∘ 4090:ϕ 4069:ϕ 3972:− 3955:ϕ 3934:ϕ 3885:∘ 3856:ψ 3852:∘ 3835:ϕ 3814:ϕ 3754:ψ 3712:ϕ 3675:… 3586:ϕ 3523:∑ 3500:… 3481:ϕ 3455:→ 3442:: 3439:ϕ 3392:… 3146:⁡ 3118:⁡ 3112:− 3071:⁡ 3043:⁡ 2998:⁡ 2976:⁡ 2938:⁡ 2922:− 2916:⁡ 2814:⁡ 2792:⁡ 2753:⁡ 2737:− 2731:⁡ 2624:⁡ 2613:⁡ 2600:⁡ 2594:− 2586:⁡ 2404:⁡ 2393:⁡ 2380:⁡ 2374:− 2366:⁡ 2324:⁡ 2312:⁡ 2306:− 2264:⁡ 2252:⁡ 2223:new basis 2020:∑ 1924:∑ 1898:∑ 1836:∑ 1800:∑ 1749:∑ 1529:… 1513:for  1465:∑ 1370:∑ 1326:∑ 1308:that is 1242:… 1132:… 1090:∈ 914:… 644:∑ 608:: 483:… 197:dimension 6300:Category 6239:Subspace 6234:Quotient 6185:Bivector 6099:Bilinear 6041:Matrices 5916:Glossary 5844:76091646 5672:See also 5590:quadrics 5582:geometry 5529:diagonal 4869: : 4463:function 3897:denotes 3362:A basis 3282:, where 869:Setting 836:and the 798:and the 391:are the 242:matrices 208:sequence 5911:Outline 5594:inertia 5586:physics 5573:and of 5553:of the 5519:If the 4842:over a 4822:similar 4759:is the 4648:matrix 4611:from a 4475:applied 3901:), and 3877:(where 3333:-tuples 3328:of the 2215:rotates 2213:If one 2077:Example 771:be the 518:over a 415:is the 217:called 215:scalars 101:scholar 6195:Tensor 6007:Kernel 5937:Vector 5932:Scalar 5842:  5820:  5794:  5202:where 4862:linear 4467:domain 3250:matrix 1721:Proof: 1596:where 775:whose 773:matrix 103:  96:  89:  82:  74:  6064:Minor 6049:Block 5987:Basis 5836:Wiley 5788:Wiley 5715:tuple 5701:Notes 5596:of a 4844:field 4638:by a 4129:with 3420:of a 3335:is a 3299:field 3297:be a 3288:up to 3270:bases 1644:over 1180:over 582:over 520:field 191:of a 187:, an 108:JSTOR 94:books 6219:Dual 6074:Rank 5840:LCCN 5818:ISBN 5792:ISBN 5584:and 5364:and 5127:and 5117:and 4920:and 4695:is 4684:for 4666:for 4634:and 3630:Let 3470:by 3293:Let 2282:and 2165:and 2116:Its 1679:and 1618:and 1436:The 1218:and 1108:let 705:Let 528:For 438:Let 354:and 80:news 5561:or 5368:in 5246:If 4877:→ F 4858:→ F 4571:an 3772:of 3143:cos 3115:sin 3068:sin 3040:cos 2995:cos 2973:sin 2935:sin 2913:cos 2811:cos 2789:sin 2761:and 2750:sin 2728:cos 2621:cos 2610:sin 2597:sin 2583:cos 2401:cos 2390:sin 2377:sin 2363:cos 2321:cos 2309:sin 2261:sin 2249:cos 2004:As 988:is 210:of 183:In 63:by 6317:: 5838:, 5816:, 5790:, 5668:. 5575:–1 5565:. 5563:–1 5296:A 5243:. 4873:× 4854:× 4832:A 4688:. 4606:→ 4602:: 4564:a 4557:a 4550:a 4543:a 4500:= 4477:. 4461:A 3359:. 525:. 150:A 5892:e 5885:t 5878:v 5721:. 5644:. 5639:1 5632:P 5628:= 5622:T 5617:P 5571:1 5559:1 5540:R 5525:F 5513:B 5498:P 5494:B 5487:T 5482:P 5458:, 5455:P 5449:T 5443:B 5435:T 5430:P 5426:= 5420:T 5415:) 5411:P 5407:B 5400:T 5395:P 5391:( 5374:B 5370:V 5366:w 5362:v 5348:) 5345:v 5342:, 5339:w 5336:( 5333:B 5330:= 5327:) 5324:w 5321:, 5318:v 5315:( 5312:B 5302:B 5281:. 5278:P 5274:B 5267:T 5262:P 5248:P 5240:v 5218:T 5212:v 5187:, 5183:w 5178:B 5171:T 5165:v 5160:= 5157:) 5154:w 5151:, 5148:v 5145:( 5142:B 5129:w 5125:v 5120:w 5114:v 5099:) 5094:j 5090:v 5086:, 5081:i 5077:v 5073:( 5070:B 5060:j 5056:i 5042:) 5037:n 5033:v 5029:, 5023:, 5018:1 5014:v 5010:( 5000:B 4995:B 4978:. 4975:V 4969:w 4949:) 4946:v 4943:, 4940:w 4937:( 4934:B 4928:v 4908:) 4905:w 4902:, 4899:v 4896:( 4893:B 4887:v 4875:V 4871:V 4867:B 4856:V 4852:V 4847:F 4840:V 4801:. 4798:P 4795:M 4790:1 4783:P 4769:P 4765:V 4757:M 4753:V 4725:. 4722:Q 4719:M 4714:1 4707:P 4693:T 4686:W 4682:Q 4677:n 4675:× 4673:n 4668:V 4664:P 4659:m 4657:× 4655:m 4650:M 4645:n 4643:× 4641:m 4636:W 4632:V 4628:m 4624:V 4620:n 4616:W 4608:V 4604:W 4600:T 4575:, 4568:, 4561:, 4554:, 4547:, 4520:) 4518:y 4515:A 4513:( 4511:f 4505:y 4502:A 4498:x 4493:) 4491:x 4489:( 4487:f 4438:, 4435:) 4432:) 4429:v 4426:( 4421:1 4412:w 4409:e 4406:n 4397:( 4392:A 4384:= 4381:) 4378:v 4375:( 4370:1 4361:d 4358:l 4355:o 4326:, 4323:V 4317:v 4294:. 4289:1 4280:w 4277:e 4274:n 4260:A 4252:= 4247:1 4238:d 4235:l 4232:o 4201:1 4192:w 4189:e 4186:n 4158:1 4149:d 4146:l 4143:o 4115:A 4101:d 4098:l 4095:o 4086:= 4080:w 4077:e 4074:n 4042:w 4039:e 4036:n 4031:B 4007:. 4004:) 4001:) 3995:d 3992:l 3989:o 3984:B 3980:( 3975:1 3966:d 3963:l 3960:o 3951:( 3945:w 3942:e 3939:n 3930:= 3924:w 3921:e 3918:n 3913:B 3860:A 3846:d 3843:l 3840:o 3831:= 3825:w 3822:e 3819:n 3790:. 3785:n 3781:F 3758:A 3740:A 3723:d 3720:l 3717:o 3691:) 3686:n 3682:v 3678:, 3672:, 3667:1 3663:v 3659:( 3656:= 3650:d 3647:l 3644:o 3639:B 3616:. 3611:n 3607:F 3563:. 3558:i 3554:v 3548:i 3544:x 3538:n 3533:1 3530:= 3527:i 3519:= 3516:) 3511:n 3507:x 3503:, 3497:, 3492:1 3488:x 3484:( 3458:V 3450:n 3446:F 3426:V 3422:F 3408:) 3403:n 3399:v 3395:, 3389:, 3384:1 3380:v 3376:( 3373:= 3370:B 3357:1 3353:i 3349:0 3345:i 3337:F 3331:n 3314:n 3310:F 3295:F 3284:F 3279:F 3224:. 3219:2 3215:w 3209:2 3205:y 3201:+ 3196:1 3192:w 3186:1 3182:y 3178:= 3168:) 3163:2 3159:v 3155:) 3152:t 3149:( 3140:+ 3135:1 3131:v 3127:) 3124:t 3121:( 3109:( 3104:2 3100:y 3096:+ 3093:) 3088:2 3084:v 3080:) 3077:t 3074:( 3065:+ 3060:1 3056:v 3052:) 3049:t 3046:( 3037:( 3032:1 3028:y 3024:= 3012:2 3008:v 3004:) 3001:t 2990:2 2986:y 2982:+ 2979:t 2968:1 2964:y 2960:( 2957:+ 2952:1 2948:v 2944:) 2941:t 2930:2 2926:y 2919:t 2908:1 2904:y 2900:( 2897:= 2888:2 2884:v 2878:2 2874:x 2870:+ 2865:1 2861:v 2855:1 2851:x 2820:. 2817:t 2806:2 2802:y 2798:+ 2795:t 2784:1 2780:y 2776:= 2771:2 2767:x 2756:t 2745:2 2741:y 2734:t 2723:1 2719:y 2715:= 2710:1 2706:x 2679:. 2674:] 2666:2 2662:y 2652:1 2648:y 2641:[ 2633:] 2627:t 2616:t 2603:t 2589:t 2577:[ 2572:= 2567:] 2559:2 2555:x 2545:1 2541:x 2534:[ 2509:, 2506:) 2501:2 2497:x 2493:, 2488:1 2484:x 2480:( 2458:2 2454:y 2450:, 2445:1 2441:y 2418:. 2413:] 2407:t 2396:t 2383:t 2369:t 2357:[ 2333:. 2330:) 2327:t 2318:, 2315:t 2303:( 2300:= 2295:2 2291:w 2270:) 2267:t 2258:, 2255:t 2246:( 2243:= 2238:1 2234:w 2219:t 2201:. 2198:) 2195:1 2192:, 2189:0 2186:( 2183:= 2178:2 2174:v 2153:) 2150:0 2147:, 2144:1 2141:( 2138:= 2133:1 2129:v 2104:. 2099:2 2094:R 2060:, 2055:i 2051:v 2045:i 2041:x 2035:n 2030:1 2027:= 2024:i 2015:= 2012:z 1985:. 1980:i 1976:v 1971:) 1965:j 1961:y 1955:j 1952:, 1949:i 1945:a 1939:n 1934:1 1931:= 1928:j 1919:( 1913:n 1908:1 1905:= 1902:i 1894:= 1883:) 1877:i 1873:v 1867:j 1864:, 1861:i 1857:a 1851:n 1846:1 1843:= 1840:i 1830:j 1826:y 1821:( 1815:n 1810:1 1807:= 1804:j 1796:= 1784:j 1780:w 1774:j 1770:y 1764:n 1759:1 1756:= 1753:j 1745:= 1738:z 1705:, 1699:w 1696:e 1693:n 1688:B 1664:d 1661:l 1658:o 1653:B 1642:z 1627:y 1605:x 1581:, 1577:y 1572:A 1569:= 1565:x 1538:. 1535:n 1532:, 1526:, 1523:1 1520:= 1517:i 1506:j 1502:y 1496:j 1493:, 1490:i 1486:a 1480:n 1475:1 1472:= 1469:j 1461:= 1456:i 1452:x 1431:j 1427:i 1410:. 1405:j 1401:w 1395:j 1391:y 1385:n 1380:1 1377:= 1374:j 1366:= 1361:i 1357:v 1351:i 1347:x 1341:n 1336:1 1333:= 1330:i 1322:= 1319:z 1296:; 1290:w 1287:e 1284:n 1279:B 1258:) 1253:n 1249:y 1245:, 1239:, 1234:1 1230:y 1226:( 1206:, 1200:d 1197:l 1194:o 1189:B 1168:z 1148:) 1143:n 1139:x 1135:, 1129:, 1124:1 1120:x 1116:( 1096:, 1093:V 1087:z 1065:. 1059:w 1056:e 1053:n 1048:B 1024:d 1021:l 1018:o 1013:B 998:A 986:A 982:V 965:w 962:e 959:n 954:B 933:, 930:) 925:n 921:w 917:, 911:, 906:1 902:w 898:( 895:= 889:w 886:e 883:n 878:B 854:; 849:j 845:w 834:A 830:j 816:, 811:i 807:v 796:A 792:i 786:j 782:w 777:j 754:j 751:, 748:i 743:) 738:j 735:, 732:i 728:a 724:( 719:= 716:A 690:. 685:i 681:v 675:j 672:, 669:i 665:a 659:n 654:1 651:= 648:i 640:= 635:j 631:w 602:d 599:l 596:o 591:B 568:j 565:, 562:i 558:a 545:j 541:w 535:n 531:j 523:F 516:V 499:) 494:n 490:v 486:, 480:, 475:1 471:v 467:( 464:= 458:d 455:l 452:o 447:B 403:A 376:w 373:e 370:n 364:x 339:d 336:l 333:o 327:x 302:, 296:w 293:e 290:n 284:x 278:A 275:= 269:d 266:l 263:o 257:x 227:v 223:v 212:n 200:n 130:) 124:( 119:) 115:( 105:· 98:· 91:· 84:· 57:. 34:. 20:)

Index

Change of coordinates
Change of base

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linear combination
linearly independent
linear transformation

mathematics
ordered basis
vector space
dimension
coordinate vector
sequence
scalars
coordinates
matrices
column vectors
basis vectors
finite-dimensional vector space

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