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Change of basis

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6021: 160: 134: 6285: 32: 3227: 1988: 2678: 2830: 1718: 5369:. 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, 4525:, 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 4006: 5457: 2819: 2516: 3222:{\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}}} 4437: 3249:
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.
4293: 2417: 1537: 301: 4116: 3861: 5186: 1983:{\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}}} 1409: 3562: 932: 3690: 498: 2060: 5649:
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.
5375: 4948: 4907: 5098: 2508: 5347: 5540: 2689: 2673:{\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}}.} 2200: 1627: 1605: 4473:
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.
239: 4575:, as this allows extending the concepts of continuous, differentiable, smooth and analytic functions to functions that are defined on a manifold. 4052: 3797: 5520:. 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 4514:
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.
3354: 2274: 3695: 3423: 64: 6000: 5872: 4994: 4001:{\displaystyle B_{\mathrm {new} }=\phi _{\mathrm {new} }(\phi _{\mathrm {old} }^{-1}(B_{\mathrm {old} })).} 2217: 1210: 1100: 6105: 5955: 1671: 1262: 1172: 1031: 5452:{\displaystyle (P^{\mathsf {T}}\mathbf {B} P)^{\mathsf {T}}=P^{\mathsf {T}}\mathbf {B} ^{\mathsf {T}}P,} 4014: 1636: 996: 937: 6010: 5904: 2076: 2062:
the change-of-basis formula results from the uniqueness of the decomposition of a vector over a basis.
6250: 5899: 4912: 4871: 2814:{\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.} 5054: 2464: 147:, these form a new basis. The linear combinations relating the first basis to the other extend to a 6242: 6125: 5802: 5682: 5509: 5296: 4470: 1414:(One could take the same summation index for the two sums, but choosing systematically the indexes 185: 5706:
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
4432:{\displaystyle \phi _{\mathrm {old} }^{-1}(v)=\psi _{A}(\phi _{\mathrm {new} }^{-1}(v)),} 3287: 508: 210:. If two different bases are considered, the coordinate vector that represents a vector 5965: 5795: 5676: 4760:
is a change-of-basis matrix, then the matrix of the endomorphism on the "new" basis is
4288:{\displaystyle \phi _{\mathrm {old} }^{-1}=\psi _{A}\circ \phi _{\mathrm {new} }^{-1}.} 3418: 3328:-vector space whose addition and scalar multiplication are defined component-wise. Its 3262: 1152: 387: 140: 6163: 6120: 6047: 5940: 5828: 5806: 5780: 5594: 5590: 4806: 4561: 978: 192: 2412:{\displaystyle {\begin{bmatrix}\cos t&-\sin t\\\sin t&\cos t\end{bmatrix}}.} 6168: 6072: 5925: 5646: 5366: 4810: 4515: 1532:{\displaystyle x_{i}=\sum _{j=1}^{n}a_{i,j}y_{j}\qquad {\text{for }}i=1,\ldots ,n.} 214:
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
6232: 6153: 5888: 3329: 2106: 296:{\displaystyle \mathbf {x} _{\mathrm {old} }=A\,\mathbf {x} _{\mathrm {new} },} 5851: 6303: 6265: 6188: 6148: 6115: 6095: 5707: 4823: 4749: 3567:
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
4111:{\displaystyle \phi _{\mathrm {new} }=\phi _{\mathrm {old} }\circ \psi _{A}} 3856:{\displaystyle \phi _{\mathrm {new} }=\phi _{\mathrm {old} }\circ \psi _{A}} 6198: 6087: 6037: 5930: 4737: 4601: 3732: 855:
such a convention is useful for avoiding errors in explicit computations.)
413: 181: 159: 5181:{\displaystyle B(v,w)=\mathbf {v} ^{\mathsf {T}}\mathbf {B} \mathbf {w} ,} 4484:
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.
1404:{\displaystyle z=\sum _{i=1}^{n}x_{i}v_{i}=\sum _{j=1}^{n}y_{j}w_{j}.} 6005: 5223: 3557:{\displaystyle \phi (x_{1},\ldots ,x_{n})=\sum _{i=1}^{n}x_{i}v_{i}.} 412:), which is the matrix whose columns are the coordinates of the new 165:
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.
5043:(the "old" basis in what follows) is the matrix whose entry of the 4572: 1712:
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
3245:, and the product of a matrix and a column vector represents the 5832: 6183: 5703: 4011:
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
927:{\displaystyle B_{\mathrm {new} }=(w_{1},\ldots ,w_{n}),} 3685:{\displaystyle B_{\mathrm {old} }=(v_{1},\ldots ,v_{n})} 493:{\displaystyle B_{\mathrm {old} }=(v_{1},\ldots ,v_{n})} 2055:{\displaystyle z=\textstyle \sum _{i=1}^{n}x_{i}v_{i},} 2632: 2568: 2525: 2348: 2006: 5603: 5526: 5468: 5378: 5299: 5248: 5197: 5129: 5057: 4997: 4956: 4915: 4874: 4769: 4693: 4445: 4336: 4304: 4213: 4167: 4124: 4055: 4017: 3899: 3872: 3800: 3767: 3740: 3698: 3625: 3593: 3573: 3468: 3426: 3357: 3296: 2833: 2692: 2519: 2467: 2427: 2342: 2277: 2220: 2160: 2115: 2079: 1999: 1721: 1674: 1639: 1613: 1591: 1551: 1542:
In terms of matrices, the change of basis formula is
1438: 1306: 1265: 1213: 1175: 1155: 1103: 1074: 1034: 999: 940: 864: 831: 793: 703: 617: 577: 544: 433: 390: 349: 312: 242: 5685: — application in computational chemistry 5597:change-of-base matrix, that is, a matrix such that 5546:, these nonzero entries can be chosen to be either 56:. Unsourced material may be challenged and removed. 5794: 5793:Beauregard, Raymond A.; Fraleigh, John B. (1973), 5792: 5742: 5637: 5534: 5491: 5451: 5341: 5274: 5214: 5180: 5092: 5035: 4971: 4942: 4901: 4794: 4718: 4431: 4319: 4287: 4196: 4153: 4110: 4038: 4000: 3878: 3855: 3783: 3753: 3719: 3684: 3609: 3579: 3556: 3451: 3401: 3336:th element the tuple with all components equal to 3309: 3221: 2813: 2672: 2502: 2453: 2411: 2326: 2263: 2194: 2146: 2097: 2054: 1982: 1698: 1660: 1621: 1599: 1574: 1531: 1403: 1289: 1251: 1199: 1161: 1141: 1089: 1058: 1020: 961: 926: 847: 809: 749: 684:{\displaystyle w_{j}=\sum _{i=1}^{n}a_{i,j}v_{i}.} 683: 601: 563: 492: 396: 372: 335: 295: 6301: 5558:is a theorem that asserts that the numbers of 4046:is the same as that of the preceding section. 5873: 5846:MIT Linear Algebra Lecture on Change of Basis 5679:, the continuous analogue of change of basis. 5275:{\displaystyle P^{\mathsf {T}}\mathbf {B} P.} 4521:As the change-of-basis formula involves only 3692:be the "old basis" of a change of basis, and 2421:The change-of-basis formula asserts that, if 1629:are the column vectors of the coordinates of 1575:{\displaystyle \mathbf {x} =A\,\mathbf {y} ,} 373:{\displaystyle \mathbf {x} _{\mathrm {new} }} 336:{\displaystyle \mathbf {x} _{\mathrm {old} }} 5492:{\displaystyle P^{\mathsf {T}}\mathbf {B} P} 750:{\displaystyle A=\left(a_{i,j}\right)_{i,j}} 5462:and the two members of this equation equal 4197:{\displaystyle \phi _{\mathrm {new} }^{-1}} 4154:{\displaystyle \phi _{\mathrm {old} }^{-1}} 5880: 5866: 5215:{\displaystyle \mathbf {v} ^{\mathsf {T}}} 4571:This is specially useful in the theory of 3232: 768:th column is formed by the coordinates of 422: 5528: 3731:, one could consider it the matrix of an 2626: 2082: 1563: 602:{\displaystyle B_{\mathrm {old} }\colon } 269: 116:Learn how and when to remove this message 5672:Covariance and contravariance of vectors 5852:Khan Academy Lecture on Change of Basis 5638:{\displaystyle P^{\mathsf {T}}=P^{-1}.} 3402:{\displaystyle B=(v_{1},\ldots ,v_{n})} 3257:a linear map, one refers implicitly to 2327:{\displaystyle w_{2}=(-\sin t,\cos t).} 779:. (Here and in what follows, the index 6302: 6271:Comparison of linear algebra libraries 5818: 5754: 5610: 5475: 5437: 5423: 5408: 5388: 5255: 5206: 5159: 4740:, are linear maps from a vector space 4619:. It is represented on "old" bases of 3720:{\displaystyle \phi _{\mathrm {old} }} 3452:{\displaystyle \phi \colon F^{n}\to V} 981:, or equivalently if it has a nonzero 5861: 5770: 5730: 5036:{\displaystyle (v_{1},\ldots ,v_{n})} 4641:. A change of bases is defined by an 2264:{\displaystyle w_{1}=(\cos t,\sin t)} 1252:{\displaystyle (y_{1},\ldots ,y_{n})} 1142:{\displaystyle (x_{1},\ldots ,x_{n})} 4497:is the change-of-base formula, then 2461:are the new coordinates of a vector 54:adding citations to reliable sources 25: 1699:{\displaystyle B_{\mathrm {new} },} 1290:{\displaystyle B_{\mathrm {new} };} 1200:{\displaystyle B_{\mathrm {old} },} 1059:{\displaystyle B_{\mathrm {new} }.} 225:Such a conversion results from the 16:Coordinate change in linear algebra 13: 5887: 4680:On the "new" bases, the matrix of 4446:Function defined on a vector space 4400: 4397: 4394: 4349: 4346: 4343: 4268: 4265: 4262: 4226: 4223: 4220: 4180: 4177: 4174: 4137: 4134: 4131: 4089: 4086: 4083: 4068: 4065: 4062: 4039:{\displaystyle B_{\mathrm {new} }} 4030: 4027: 4024: 3983: 3980: 3977: 3954: 3951: 3948: 3933: 3930: 3927: 3912: 3909: 3906: 3834: 3831: 3828: 3813: 3810: 3807: 3711: 3708: 3705: 3638: 3635: 3632: 2336:So, the change-of-basis matrix is 1687: 1684: 1681: 1661:{\displaystyle B_{\mathrm {old} }} 1652: 1649: 1646: 1278: 1275: 1272: 1188: 1185: 1182: 1047: 1044: 1041: 1021:{\displaystyle B_{\mathrm {old} }} 1012: 1009: 1006: 962:{\displaystyle B_{\mathrm {new} }} 953: 950: 947: 877: 874: 871: 590: 587: 584: 446: 443: 440: 364: 361: 358: 327: 324: 321: 284: 281: 278: 257: 254: 251: 14: 6326: 5839: 5667:Active and passive transformation 4816: 2098:{\displaystyle \mathbb {R} ^{2}.} 6284: 6283: 6261:Basic Linear Algebra Subprograms 6019: 5821:Linear Algebra and Matrix Theory 5482: 5431: 5395: 5361:. It follows that the matrix of 5262: 5200: 5171: 5166: 5153: 4732: 2824:This may be verified by writing 1615: 1593: 1565: 1553: 821:refers always to the columns of 352: 315: 272: 245: 158: 132: 30: 6159:Seven-dimensional cross product 5764: 5743:Beauregard & Fraleigh (1973 4943:{\displaystyle v\mapsto B(w,v)} 4902:{\displaystyle v\mapsto B(v,w)} 4469:When the basis is changed, the 4454:that has a vector space as its 4049:Now, by composing the equation 2753: 2747: 1499: 502:finite-dimensional vector space 41:needs additional citations for 5748: 5736: 5724: 5696: 5403: 5379: 5336: 5324: 5315: 5303: 5145: 5133: 5093:{\displaystyle B(v_{i},v_{j})} 5087: 5061: 5030: 4998: 4937: 4925: 4919: 4896: 4884: 4878: 4578: 4423: 4420: 4414: 4385: 4369: 4363: 3992: 3989: 3968: 3939: 3679: 3647: 3504: 3472: 3443: 3396: 3364: 3156: 3143: 3137: 3115: 3109: 3097: 3081: 3068: 3062: 3040: 3034: 3025: 2992: 2948: 2932: 2888: 2503:{\displaystyle (x_{1},x_{2}),} 2494: 2468: 2318: 2291: 2258: 2234: 2186: 2174: 2141: 2129: 1246: 1214: 1136: 1104: 918: 886: 487: 455: 233:, this formula can be written 1: 5717: 5342:{\displaystyle B(v,w)=B(w,v)} 3332:is the basis that has as its 783:refers always to the rows of 151:, called the change of basis. 6001:Eigenvalues and eigenvectors 5577:, typically in the study of 5535:{\displaystyle \mathbb {R} } 4853:in both arguments. That is, 3253:When one says that a matrix 2195:{\displaystyle v_{2}=(0,1).} 1622:{\displaystyle \mathbf {y} } 1600:{\displaystyle \mathbf {x} } 7: 5660: 4950:are linear for every fixed 4458:is commonly specified as a 3265:between a vector space and 2454:{\displaystyle y_{1},y_{2}} 2147:{\displaystyle v_{1}=(1,0)} 10: 6331: 5823:(2nd ed.), New York: 5775:(5th ed.), New York: 5556:Sylvester's law of inertia 2065: 973:if and only if the matrix 527:, one can define a vector 18: 6279: 6241: 6197: 6134: 6086: 6028: 6017: 5913: 5895: 5848:, from MIT OpenCourseWare 5773:Elementary Linear Algebra 4795:{\displaystyle P^{-1}MP.} 4756:over an "old" basis, and 4719:{\displaystyle P^{-1}MQ.} 3754:{\displaystyle \psi _{A}} 3587:of the standard basis of 5819:Nering, Evar D. (1970), 5803:Houghton Mifflin Company 5689: 5683:Chirgwin-Coulson weights 4868:is bilinear if the maps 4204:on the right, one gets 2109:consists of the vectors 19:Not to be confused with 5287:symmetric bilinear form 4972:{\displaystyle w\in V.} 4669:change-of-basis matrix 4651:change-of-basis matrix 4548:differentiable function 4320:{\displaystyle v\in V,} 3233:In terms of linear maps 1427:change-of-basis formula 1090:{\displaystyle z\in V,} 564:{\displaystyle a_{i,j}} 423:Change of basis formula 227:change-of-basis formula 5986:Row and column vectors 5771:Anton, Howard (1987), 5639: 5536: 5493: 5453: 5343: 5276: 5216: 5182: 5094: 5037: 4973: 4944: 4903: 4796: 4752:of an endomorphism of 4720: 4433: 4321: 4289: 4198: 4155: 4112: 4040: 4002: 3880: 3879:{\displaystyle \circ } 3857: 3785: 3784:{\displaystyle F^{n}.} 3755: 3721: 3686: 3611: 3610:{\displaystyle F^{n}.} 3581: 3558: 3530: 3453: 3403: 3311: 3223: 2815: 2674: 2504: 2455: 2413: 2328: 2265: 2196: 2148: 2099: 2072:Euclidean vector space 2056: 2027: 1984: 1931: 1905: 1843: 1807: 1756: 1700: 1662: 1623: 1601: 1576: 1533: 1472: 1418:for the old basis and 1405: 1377: 1333: 1291: 1253: 1201: 1163: 1149:be the coordinates of 1143: 1091: 1060: 1022: 991:change-of-basis matrix 963: 928: 849: 848:{\displaystyle w_{j};} 811: 810:{\displaystyle v_{i},} 751: 685: 651: 603: 565: 494: 406:change-of-basis matrix 398: 374: 337: 297: 218:on the other basis. A 5991:Row and column spaces 5936:Scalar multiplication 5640: 5537: 5494: 5454: 5344: 5277: 5217: 5183: 5100:. It follows that if 5095: 5038: 4974: 4945: 4904: 4797: 4721: 4460:multivariate function 4434: 4322: 4298:It follows that, for 4290: 4199: 4156: 4113: 4041: 4003: 3881: 3858: 3786: 3756: 3722: 3687: 3612: 3582: 3580:{\displaystyle \phi } 3559: 3510: 3454: 3404: 3312: 3310:{\displaystyle F^{n}} 3224: 2816: 2675: 2505: 2456: 2414: 2329: 2266: 2197: 2149: 2100: 2057: 2007: 1985: 1911: 1885: 1823: 1787: 1736: 1701: 1663: 1624: 1602: 1577: 1534: 1452: 1406: 1357: 1313: 1292: 1259:its coordinates over 1254: 1202: 1164: 1144: 1092: 1061: 1023: 964: 929: 850: 812: 752: 686: 631: 604: 566: 495: 399: 375: 338: 298: 149:linear transformation 6126:Gram–Schmidt process 6078:Gaussian elimination 5601: 5524: 5512:of the ground field 5466: 5376: 5297: 5246: 5195: 5127: 5055: 4995: 4954: 4913: 4872: 4767: 4691: 4334: 4302: 4211: 4165: 4122: 4053: 4015: 3897: 3888:function composition 3870: 3798: 3765: 3738: 3696: 3623: 3591: 3571: 3466: 3424: 3355: 3294: 3247:function application 2831: 2690: 2517: 2465: 2425: 2340: 2275: 2218: 2206:them by an angle of 2158: 2113: 2077: 1997: 1719: 1672: 1637: 1611: 1589: 1549: 1436: 1304: 1263: 1211: 1173: 1153: 1101: 1072: 1032: 997: 938: 862: 829: 791: 701: 615: 575: 542: 431: 388: 347: 310: 240: 145:linearly independent 50:improve this article 6256:Numerical stability 6136:Multilinear algebra 6111:Inner product space 5961:Linear independence 5854:, from Khan Academy 5745:, pp. 240–243) 5733:, pp. 221–237) 5289:is a bilinear form 4987:of a bilinear form 4541:continuous function 4534:polynomial function 4413: 4362: 4281: 4239: 4193: 4150: 3967: 538:by its coordinates 5966:Linear combination 5677:Integral transform 5635: 5589:. In these cases, 5532: 5489: 5449: 5339: 5272: 5212: 5178: 5090: 5033: 4969: 4940: 4899: 4827:on a vector space 4792: 4716: 4611:to a vector space 4529:a linear function, 4429: 4388: 4337: 4317: 4285: 4256: 4214: 4194: 4168: 4151: 4125: 4108: 4036: 3998: 3942: 3876: 3853: 3781: 3751: 3717: 3682: 3607: 3577: 3554: 3449: 3419:linear isomorphism 3399: 3307: 3219: 3217: 2811: 2670: 2661: 2620: 2554: 2500: 2451: 2409: 2400: 2324: 2261: 2192: 2144: 2095: 2052: 2051: 1980: 1978: 1696: 1658: 1619: 1597: 1572: 1529: 1401: 1287: 1249: 1197: 1159: 1139: 1087: 1056: 1018: 989:is said to be the 959: 924: 845: 807: 747: 681: 599: 561: 490: 416:on the old basis. 394: 370: 333: 293: 141:linear combination 6297: 6296: 6164:Geometric algebra 6121:Kronecker product 5956:Linear projection 5941:Vector projection 5757:, pp. 50–52) 5591:orthonormal bases 4807:invertible matrix 4562:analytic function 2751: 1503: 1162:{\displaystyle z} 410:transition matrix 397:{\displaystyle A} 193:coordinate vector 126: 125: 118: 100: 65:"Change of basis" 6322: 6287: 6286: 6169:Exterior algebra 6106:Hadamard product 6023: 6011:Linear equations 5882: 5875: 5868: 5859: 5858: 5835: 5815: 5800: 5789: 5758: 5752: 5746: 5740: 5734: 5728: 5711: 5700: 5647:Spectral theorem 5644: 5642: 5641: 5636: 5631: 5630: 5615: 5614: 5613: 5565: 5561: 5553: 5549: 5541: 5539: 5538: 5533: 5531: 5515: 5504: 5498: 5496: 5495: 5490: 5485: 5480: 5479: 5478: 5458: 5456: 5455: 5450: 5442: 5441: 5440: 5434: 5428: 5427: 5426: 5413: 5412: 5411: 5398: 5393: 5392: 5391: 5365:on any basis is 5364: 5360: 5356: 5352: 5348: 5346: 5345: 5340: 5292: 5281: 5279: 5278: 5273: 5265: 5260: 5259: 5258: 5238: 5231: 5221: 5219: 5218: 5213: 5211: 5210: 5209: 5203: 5187: 5185: 5184: 5179: 5174: 5169: 5164: 5163: 5162: 5156: 5119: 5115: 5111: 5105: 5099: 5097: 5096: 5091: 5086: 5085: 5073: 5072: 5050: 5046: 5042: 5040: 5039: 5034: 5029: 5028: 5010: 5009: 4990: 4986: 4978: 4976: 4975: 4970: 4949: 4947: 4946: 4941: 4908: 4906: 4905: 4900: 4867: 4848: 4837: 4801: 4799: 4798: 4793: 4782: 4781: 4759: 4755: 4747: 4743: 4725: 4723: 4722: 4717: 4706: 4705: 4683: 4676: 4672: 4668: 4658: 4654: 4650: 4640: 4636: 4626: 4622: 4618: 4614: 4610: 4606: 4599: 4523:linear functions 4518:is needed here. 4516:matrix inversion 4510: 4496: 4483: 4438: 4436: 4435: 4430: 4412: 4404: 4403: 4384: 4383: 4361: 4353: 4352: 4326: 4324: 4323: 4318: 4294: 4292: 4291: 4286: 4280: 4272: 4271: 4252: 4251: 4238: 4230: 4229: 4203: 4201: 4200: 4195: 4192: 4184: 4183: 4161:on the left and 4160: 4158: 4157: 4152: 4149: 4141: 4140: 4117: 4115: 4114: 4109: 4107: 4106: 4094: 4093: 4092: 4073: 4072: 4071: 4045: 4043: 4042: 4037: 4035: 4034: 4033: 4007: 4005: 4004: 3999: 3988: 3987: 3986: 3966: 3958: 3957: 3938: 3937: 3936: 3917: 3916: 3915: 3885: 3883: 3882: 3877: 3862: 3860: 3859: 3854: 3852: 3851: 3839: 3838: 3837: 3818: 3817: 3816: 3791:Finally, define 3790: 3788: 3787: 3782: 3777: 3776: 3760: 3758: 3757: 3752: 3750: 3749: 3730: 3726: 3724: 3723: 3718: 3716: 3715: 3714: 3691: 3689: 3688: 3683: 3678: 3677: 3659: 3658: 3643: 3642: 3641: 3616: 3614: 3613: 3608: 3603: 3602: 3586: 3584: 3583: 3578: 3563: 3561: 3560: 3555: 3550: 3549: 3540: 3539: 3529: 3524: 3503: 3502: 3484: 3483: 3458: 3456: 3455: 3450: 3442: 3441: 3416: 3412: 3408: 3406: 3405: 3400: 3395: 3394: 3376: 3375: 3347: 3343: 3339: 3335: 3327: 3321: 3316: 3314: 3313: 3308: 3306: 3305: 3285: 3274: 3270: 3228: 3226: 3225: 3220: 3218: 3211: 3210: 3201: 3200: 3188: 3187: 3178: 3177: 3162: 3155: 3154: 3127: 3126: 3096: 3095: 3080: 3079: 3052: 3051: 3024: 3023: 3008: 3004: 3003: 2982: 2981: 2960: 2959: 2944: 2943: 2922: 2921: 2900: 2899: 2880: 2879: 2870: 2869: 2857: 2856: 2847: 2846: 2820: 2818: 2817: 2812: 2798: 2797: 2776: 2775: 2763: 2762: 2752: 2749: 2737: 2736: 2715: 2714: 2702: 2701: 2679: 2677: 2676: 2671: 2666: 2665: 2658: 2657: 2644: 2643: 2625: 2624: 2559: 2558: 2551: 2550: 2537: 2536: 2509: 2507: 2506: 2501: 2493: 2492: 2480: 2479: 2460: 2458: 2457: 2452: 2450: 2449: 2437: 2436: 2418: 2416: 2415: 2410: 2405: 2404: 2333: 2331: 2330: 2325: 2287: 2286: 2270: 2268: 2267: 2262: 2230: 2229: 2209: 2201: 2199: 2198: 2193: 2170: 2169: 2153: 2151: 2150: 2145: 2125: 2124: 2104: 2102: 2101: 2096: 2091: 2090: 2085: 2061: 2059: 2058: 2053: 2047: 2046: 2037: 2036: 2026: 2021: 1989: 1987: 1986: 1981: 1979: 1972: 1971: 1962: 1958: 1957: 1956: 1947: 1946: 1930: 1925: 1904: 1899: 1878: 1874: 1870: 1869: 1868: 1859: 1858: 1842: 1837: 1822: 1821: 1806: 1801: 1780: 1776: 1775: 1766: 1765: 1755: 1750: 1705: 1703: 1702: 1697: 1692: 1691: 1690: 1667: 1665: 1664: 1659: 1657: 1656: 1655: 1632: 1628: 1626: 1625: 1620: 1618: 1606: 1604: 1603: 1598: 1596: 1581: 1579: 1578: 1573: 1568: 1556: 1538: 1536: 1535: 1530: 1504: 1501: 1498: 1497: 1488: 1487: 1471: 1466: 1448: 1447: 1421: 1417: 1410: 1408: 1407: 1402: 1397: 1396: 1387: 1386: 1376: 1371: 1353: 1352: 1343: 1342: 1332: 1327: 1296: 1294: 1293: 1288: 1283: 1282: 1281: 1258: 1256: 1255: 1250: 1245: 1244: 1226: 1225: 1206: 1204: 1203: 1198: 1193: 1192: 1191: 1168: 1166: 1165: 1160: 1148: 1146: 1145: 1140: 1135: 1134: 1116: 1115: 1096: 1094: 1093: 1088: 1065: 1063: 1062: 1057: 1052: 1051: 1050: 1027: 1025: 1024: 1019: 1017: 1016: 1015: 988: 985:. In this case, 976: 972: 968: 966: 965: 960: 958: 957: 956: 933: 931: 930: 925: 917: 916: 898: 897: 882: 881: 880: 854: 852: 851: 846: 841: 840: 824: 820: 817:while the index 816: 814: 813: 808: 803: 802: 786: 782: 778: 767: 756: 754: 753: 748: 746: 745: 734: 730: 729: 690: 688: 687: 682: 677: 676: 667: 666: 650: 645: 627: 626: 608: 606: 605: 600: 595: 594: 593: 570: 568: 567: 562: 560: 559: 537: 526: 513: 506: 500:be a basis of a 499: 497: 496: 491: 486: 485: 467: 466: 451: 450: 449: 403: 401: 400: 395: 379: 377: 376: 371: 369: 368: 367: 355: 342: 340: 339: 334: 332: 331: 330: 318: 302: 300: 299: 294: 289: 288: 287: 275: 262: 261: 260: 248: 217: 213: 202: 190: 162: 136: 121: 114: 110: 107: 101: 99: 58: 34: 26: 6330: 6329: 6325: 6324: 6323: 6321: 6320: 6319: 6300: 6299: 6298: 6293: 6275: 6237: 6193: 6130: 6082: 6024: 6015: 5981:Change of basis 5971:Multilinear map 5909: 5891: 5886: 5842: 5813: 5787: 5767: 5762: 5761: 5753: 5749: 5741: 5737: 5729: 5725: 5720: 5715: 5714: 5701: 5697: 5692: 5663: 5623: 5619: 5609: 5608: 5604: 5602: 5599: 5598: 5563: 5559: 5551: 5547: 5527: 5525: 5522: 5521: 5513: 5500: 5481: 5474: 5473: 5469: 5467: 5464: 5463: 5436: 5435: 5430: 5429: 5422: 5421: 5417: 5407: 5406: 5402: 5394: 5387: 5386: 5382: 5377: 5374: 5373: 5362: 5358: 5354: 5350: 5298: 5295: 5294: 5290: 5261: 5254: 5253: 5249: 5247: 5244: 5243: 5236: 5227: 5205: 5204: 5199: 5198: 5196: 5193: 5192: 5170: 5165: 5158: 5157: 5152: 5151: 5128: 5125: 5124: 5117: 5113: 5107: 5101: 5081: 5077: 5068: 5064: 5056: 5053: 5052: 5048: 5044: 5024: 5020: 5005: 5001: 4996: 4993: 4992: 4988: 4982: 4955: 4952: 4951: 4914: 4911: 4910: 4873: 4870: 4869: 4854: 4839: 4835: 4819: 4774: 4770: 4768: 4765: 4764: 4757: 4753: 4745: 4741: 4735: 4698: 4694: 4692: 4689: 4688: 4681: 4674: 4670: 4660: 4656: 4652: 4642: 4638: 4628: 4624: 4620: 4616: 4612: 4608: 4604: 4587: 4581: 4555:smooth function 4498: 4485: 4474: 4448: 4405: 4393: 4392: 4379: 4375: 4354: 4342: 4341: 4335: 4332: 4331: 4303: 4300: 4299: 4273: 4261: 4260: 4247: 4243: 4231: 4219: 4218: 4212: 4209: 4208: 4185: 4173: 4172: 4166: 4163: 4162: 4142: 4130: 4129: 4123: 4120: 4119: 4102: 4098: 4082: 4081: 4077: 4061: 4060: 4056: 4054: 4051: 4050: 4023: 4022: 4018: 4016: 4013: 4012: 3976: 3975: 3971: 3959: 3947: 3946: 3926: 3925: 3921: 3905: 3904: 3900: 3898: 3895: 3894: 3871: 3868: 3867: 3847: 3843: 3827: 3826: 3822: 3806: 3805: 3801: 3799: 3796: 3795: 3772: 3768: 3766: 3763: 3762: 3745: 3741: 3739: 3736: 3735: 3728: 3704: 3703: 3699: 3697: 3694: 3693: 3673: 3669: 3654: 3650: 3631: 3630: 3626: 3624: 3621: 3620: 3598: 3594: 3592: 3589: 3588: 3572: 3569: 3568: 3545: 3541: 3535: 3531: 3525: 3514: 3498: 3494: 3479: 3475: 3467: 3464: 3463: 3437: 3433: 3425: 3422: 3421: 3414: 3410: 3390: 3386: 3371: 3367: 3356: 3353: 3352: 3345: 3341: 3337: 3333: 3325: 3319: 3301: 3297: 3295: 3292: 3291: 3283: 3272: 3266: 3235: 3216: 3215: 3206: 3202: 3196: 3192: 3183: 3179: 3173: 3169: 3160: 3159: 3150: 3146: 3122: 3118: 3091: 3087: 3075: 3071: 3047: 3043: 3019: 3015: 3006: 3005: 2999: 2995: 2977: 2973: 2955: 2951: 2939: 2935: 2917: 2913: 2895: 2891: 2881: 2875: 2871: 2865: 2861: 2852: 2848: 2842: 2838: 2834: 2832: 2829: 2828: 2793: 2789: 2771: 2767: 2758: 2754: 2748: 2732: 2728: 2710: 2706: 2697: 2693: 2691: 2688: 2687: 2660: 2659: 2653: 2649: 2646: 2645: 2639: 2635: 2628: 2627: 2619: 2618: 2607: 2595: 2594: 2580: 2564: 2563: 2553: 2552: 2546: 2542: 2539: 2538: 2532: 2528: 2521: 2520: 2518: 2515: 2514: 2488: 2484: 2475: 2471: 2466: 2463: 2462: 2445: 2441: 2432: 2428: 2426: 2423: 2422: 2399: 2398: 2387: 2375: 2374: 2360: 2344: 2343: 2341: 2338: 2337: 2282: 2278: 2276: 2273: 2272: 2225: 2221: 2219: 2216: 2215: 2207: 2165: 2161: 2159: 2156: 2155: 2120: 2116: 2114: 2111: 2110: 2086: 2081: 2080: 2078: 2075: 2074: 2068: 2042: 2038: 2032: 2028: 2022: 2011: 1998: 1995: 1994: 1977: 1976: 1967: 1963: 1952: 1948: 1936: 1932: 1926: 1915: 1910: 1906: 1900: 1889: 1876: 1875: 1864: 1860: 1848: 1844: 1838: 1827: 1817: 1813: 1812: 1808: 1802: 1791: 1778: 1777: 1771: 1767: 1761: 1757: 1751: 1740: 1729: 1722: 1720: 1717: 1716: 1680: 1679: 1675: 1673: 1670: 1669: 1645: 1644: 1640: 1638: 1635: 1634: 1630: 1614: 1612: 1609: 1608: 1592: 1590: 1587: 1586: 1564: 1552: 1550: 1547: 1546: 1500: 1493: 1489: 1477: 1473: 1467: 1456: 1443: 1439: 1437: 1434: 1433: 1419: 1415: 1392: 1388: 1382: 1378: 1372: 1361: 1348: 1344: 1338: 1334: 1328: 1317: 1305: 1302: 1301: 1271: 1270: 1266: 1264: 1261: 1260: 1240: 1236: 1221: 1217: 1212: 1209: 1208: 1181: 1180: 1176: 1174: 1171: 1170: 1154: 1151: 1150: 1130: 1126: 1111: 1107: 1102: 1099: 1098: 1073: 1070: 1069: 1068:Given a vector 1040: 1039: 1035: 1033: 1030: 1029: 1005: 1004: 1000: 998: 995: 994: 993:from the basis 986: 974: 970: 946: 945: 941: 939: 936: 935: 912: 908: 893: 889: 870: 869: 865: 863: 860: 859: 836: 832: 830: 827: 826: 822: 818: 798: 794: 792: 789: 788: 784: 780: 777: 769: 765: 735: 719: 715: 711: 710: 702: 699: 698: 672: 668: 656: 652: 646: 635: 622: 618: 616: 613: 612: 583: 582: 578: 576: 573: 572: 549: 545: 543: 540: 539: 536: 528: 518: 511: 504: 481: 477: 462: 458: 439: 438: 434: 432: 429: 428: 425: 389: 386: 385: 357: 356: 351: 350: 348: 345: 344: 320: 319: 314: 313: 311: 308: 307: 277: 276: 271: 270: 250: 249: 244: 243: 241: 238: 237: 220:change of basis 215: 211: 200: 188: 170: 169: 168: 167: 166: 163: 154: 153: 152: 137: 122: 111: 105: 102: 59: 57: 47: 35: 24: 17: 12: 11: 5: 6328: 6318: 6317: 6312: 6310:Linear algebra 6295: 6294: 6292: 6291: 6280: 6277: 6276: 6274: 6273: 6268: 6263: 6258: 6253: 6251:Floating-point 6247: 6245: 6239: 6238: 6236: 6235: 6233:Tensor product 6230: 6225: 6220: 6218:Function space 6215: 6210: 6204: 6202: 6195: 6194: 6192: 6191: 6186: 6181: 6176: 6171: 6166: 6161: 6156: 6154:Triple product 6151: 6146: 6140: 6138: 6132: 6131: 6129: 6128: 6123: 6118: 6113: 6108: 6103: 6098: 6092: 6090: 6084: 6083: 6081: 6080: 6075: 6070: 6068:Transformation 6065: 6060: 6058:Multiplication 6055: 6050: 6045: 6040: 6034: 6032: 6026: 6025: 6018: 6016: 6014: 6013: 6008: 6003: 5998: 5993: 5988: 5983: 5978: 5973: 5968: 5963: 5958: 5953: 5948: 5943: 5938: 5933: 5928: 5923: 5917: 5915: 5914:Basic concepts 5911: 5910: 5908: 5907: 5902: 5896: 5893: 5892: 5889:Linear algebra 5885: 5884: 5877: 5870: 5862: 5856: 5855: 5849: 5841: 5840:External links 5838: 5837: 5836: 5816: 5811: 5790: 5785: 5766: 5763: 5760: 5759: 5747: 5735: 5722: 5721: 5719: 5716: 5713: 5712: 5694: 5693: 5691: 5688: 5687: 5686: 5680: 5674: 5669: 5662: 5659: 5655:diagonalizable 5634: 5629: 5626: 5622: 5618: 5612: 5607: 5530: 5510:characteristic 5505:is symmetric. 5499:if the matrix 5488: 5484: 5477: 5472: 5460: 5459: 5448: 5445: 5439: 5433: 5425: 5420: 5416: 5410: 5405: 5401: 5397: 5390: 5385: 5381: 5338: 5335: 5332: 5329: 5326: 5323: 5320: 5317: 5314: 5311: 5308: 5305: 5302: 5283: 5282: 5271: 5268: 5264: 5257: 5252: 5226:of the matrix 5208: 5202: 5189: 5188: 5177: 5173: 5168: 5161: 5155: 5150: 5147: 5144: 5141: 5138: 5135: 5132: 5089: 5084: 5080: 5076: 5071: 5067: 5063: 5060: 5032: 5027: 5023: 5019: 5016: 5013: 5008: 5004: 5000: 4968: 4965: 4962: 4959: 4939: 4936: 4933: 4930: 4927: 4924: 4921: 4918: 4898: 4895: 4892: 4889: 4886: 4883: 4880: 4877: 4838:is a function 4818: 4817:Bilinear forms 4815: 4803: 4802: 4791: 4788: 4785: 4780: 4777: 4773: 4734: 4731: 4727: 4726: 4715: 4712: 4709: 4704: 4701: 4697: 4580: 4577: 4566: 4565: 4558: 4551: 4544: 4537: 4530: 4447: 4444: 4440: 4439: 4428: 4425: 4422: 4419: 4416: 4411: 4408: 4402: 4399: 4396: 4391: 4387: 4382: 4378: 4374: 4371: 4368: 4365: 4360: 4357: 4351: 4348: 4345: 4340: 4316: 4313: 4310: 4307: 4296: 4295: 4284: 4279: 4276: 4270: 4267: 4264: 4259: 4255: 4250: 4246: 4242: 4237: 4234: 4228: 4225: 4222: 4217: 4191: 4188: 4182: 4179: 4176: 4171: 4148: 4145: 4139: 4136: 4133: 4128: 4105: 4101: 4097: 4091: 4088: 4085: 4080: 4076: 4070: 4067: 4064: 4059: 4032: 4029: 4026: 4021: 4009: 4008: 3997: 3994: 3991: 3985: 3982: 3979: 3974: 3970: 3965: 3962: 3956: 3953: 3950: 3945: 3941: 3935: 3932: 3929: 3924: 3920: 3914: 3911: 3908: 3903: 3875: 3864: 3863: 3850: 3846: 3842: 3836: 3833: 3830: 3825: 3821: 3815: 3812: 3809: 3804: 3780: 3775: 3771: 3748: 3744: 3713: 3710: 3707: 3702: 3681: 3676: 3672: 3668: 3665: 3662: 3657: 3653: 3649: 3646: 3640: 3637: 3634: 3629: 3606: 3601: 3597: 3576: 3565: 3564: 3553: 3548: 3544: 3538: 3534: 3528: 3523: 3520: 3517: 3513: 3509: 3506: 3501: 3497: 3493: 3490: 3487: 3482: 3478: 3474: 3471: 3448: 3445: 3440: 3436: 3432: 3429: 3413:-vector space 3398: 3393: 3389: 3385: 3382: 3379: 3374: 3370: 3366: 3363: 3360: 3330:standard basis 3304: 3300: 3234: 3231: 3230: 3229: 3214: 3209: 3205: 3199: 3195: 3191: 3186: 3182: 3176: 3172: 3168: 3165: 3163: 3161: 3158: 3153: 3149: 3145: 3142: 3139: 3136: 3133: 3130: 3125: 3121: 3117: 3114: 3111: 3108: 3105: 3102: 3099: 3094: 3090: 3086: 3083: 3078: 3074: 3070: 3067: 3064: 3061: 3058: 3055: 3050: 3046: 3042: 3039: 3036: 3033: 3030: 3027: 3022: 3018: 3014: 3011: 3009: 3007: 3002: 2998: 2994: 2991: 2988: 2985: 2980: 2976: 2972: 2969: 2966: 2963: 2958: 2954: 2950: 2947: 2942: 2938: 2934: 2931: 2928: 2925: 2920: 2916: 2912: 2909: 2906: 2903: 2898: 2894: 2890: 2887: 2884: 2882: 2878: 2874: 2868: 2864: 2860: 2855: 2851: 2845: 2841: 2837: 2836: 2822: 2821: 2810: 2807: 2804: 2801: 2796: 2792: 2788: 2785: 2782: 2779: 2774: 2770: 2766: 2761: 2757: 2746: 2743: 2740: 2735: 2731: 2727: 2724: 2721: 2718: 2713: 2709: 2705: 2700: 2696: 2681: 2680: 2669: 2664: 2656: 2652: 2648: 2647: 2642: 2638: 2634: 2633: 2631: 2623: 2617: 2614: 2611: 2608: 2606: 2603: 2600: 2597: 2596: 2593: 2590: 2587: 2584: 2581: 2579: 2576: 2573: 2570: 2569: 2567: 2562: 2557: 2549: 2545: 2541: 2540: 2535: 2531: 2527: 2526: 2524: 2499: 2496: 2491: 2487: 2483: 2478: 2474: 2470: 2448: 2444: 2440: 2435: 2431: 2408: 2403: 2397: 2394: 2391: 2388: 2386: 2383: 2380: 2377: 2376: 2373: 2370: 2367: 2364: 2361: 2359: 2356: 2353: 2350: 2349: 2347: 2323: 2320: 2317: 2314: 2311: 2308: 2305: 2302: 2299: 2296: 2293: 2290: 2285: 2281: 2260: 2257: 2254: 2251: 2248: 2245: 2242: 2239: 2236: 2233: 2228: 2224: 2191: 2188: 2185: 2182: 2179: 2176: 2173: 2168: 2164: 2143: 2140: 2137: 2134: 2131: 2128: 2123: 2119: 2107:standard basis 2094: 2089: 2084: 2067: 2064: 2050: 2045: 2041: 2035: 2031: 2025: 2020: 2017: 2014: 2010: 2005: 2002: 1991: 1990: 1975: 1970: 1966: 1961: 1955: 1951: 1945: 1942: 1939: 1935: 1929: 1924: 1921: 1918: 1914: 1909: 1903: 1898: 1895: 1892: 1888: 1884: 1881: 1879: 1877: 1873: 1867: 1863: 1857: 1854: 1851: 1847: 1841: 1836: 1833: 1830: 1826: 1820: 1816: 1811: 1805: 1800: 1797: 1794: 1790: 1786: 1783: 1781: 1779: 1774: 1770: 1764: 1760: 1754: 1749: 1746: 1743: 1739: 1735: 1732: 1730: 1728: 1725: 1724: 1706:respectively. 1695: 1689: 1686: 1683: 1678: 1654: 1651: 1648: 1643: 1617: 1595: 1583: 1582: 1571: 1567: 1562: 1559: 1555: 1540: 1539: 1528: 1525: 1522: 1519: 1516: 1513: 1510: 1507: 1496: 1492: 1486: 1483: 1480: 1476: 1470: 1465: 1462: 1459: 1455: 1451: 1446: 1442: 1412: 1411: 1400: 1395: 1391: 1385: 1381: 1375: 1370: 1367: 1364: 1360: 1356: 1351: 1347: 1341: 1337: 1331: 1326: 1323: 1320: 1316: 1312: 1309: 1286: 1280: 1277: 1274: 1269: 1248: 1243: 1239: 1235: 1232: 1229: 1224: 1220: 1216: 1196: 1190: 1187: 1184: 1179: 1158: 1138: 1133: 1129: 1125: 1122: 1119: 1114: 1110: 1106: 1086: 1083: 1080: 1077: 1055: 1049: 1046: 1043: 1038: 1014: 1011: 1008: 1003: 969:is a basis of 955: 952: 949: 944: 923: 920: 915: 911: 907: 904: 901: 896: 892: 888: 885: 879: 876: 873: 868: 844: 839: 835: 806: 801: 797: 773: 758: 757: 744: 741: 738: 733: 728: 725: 722: 718: 714: 709: 706: 692: 691: 680: 675: 671: 665: 662: 659: 655: 649: 644: 641: 638: 634: 630: 625: 621: 598: 592: 589: 586: 581: 558: 555: 552: 548: 532: 489: 484: 480: 476: 473: 470: 465: 461: 457: 454: 448: 445: 442: 437: 424: 421: 393: 382:column vectors 366: 363: 360: 354: 329: 326: 323: 317: 304: 303: 292: 286: 283: 280: 274: 268: 265: 259: 256: 253: 247: 164: 157: 156: 155: 138: 131: 130: 129: 128: 127: 124: 123: 38: 36: 29: 21:Change of base 15: 9: 6: 4: 3: 2: 6327: 6316: 6315:Matrix theory 6313: 6311: 6308: 6307: 6305: 6290: 6282: 6281: 6278: 6272: 6269: 6267: 6266:Sparse matrix 6264: 6262: 6259: 6257: 6254: 6252: 6249: 6248: 6246: 6244: 6240: 6234: 6231: 6229: 6226: 6224: 6221: 6219: 6216: 6214: 6211: 6209: 6206: 6205: 6203: 6201:constructions 6200: 6196: 6190: 6189:Outermorphism 6187: 6185: 6182: 6180: 6177: 6175: 6172: 6170: 6167: 6165: 6162: 6160: 6157: 6155: 6152: 6150: 6149:Cross product 6147: 6145: 6142: 6141: 6139: 6137: 6133: 6127: 6124: 6122: 6119: 6117: 6116:Outer product 6114: 6112: 6109: 6107: 6104: 6102: 6099: 6097: 6096:Orthogonality 6094: 6093: 6091: 6089: 6085: 6079: 6076: 6074: 6073:Cramer's rule 6071: 6069: 6066: 6064: 6061: 6059: 6056: 6054: 6051: 6049: 6046: 6044: 6043:Decomposition 6041: 6039: 6036: 6035: 6033: 6031: 6027: 6022: 6012: 6009: 6007: 6004: 6002: 5999: 5997: 5994: 5992: 5989: 5987: 5984: 5982: 5979: 5977: 5974: 5972: 5969: 5967: 5964: 5962: 5959: 5957: 5954: 5952: 5949: 5947: 5944: 5942: 5939: 5937: 5934: 5932: 5929: 5927: 5924: 5922: 5919: 5918: 5916: 5912: 5906: 5903: 5901: 5898: 5897: 5894: 5890: 5883: 5878: 5876: 5871: 5869: 5864: 5863: 5860: 5853: 5850: 5847: 5844: 5843: 5834: 5830: 5826: 5822: 5817: 5814: 5812:0-395-14017-X 5808: 5804: 5799: 5798: 5791: 5788: 5786:0-471-84819-0 5782: 5778: 5774: 5769: 5768: 5756: 5751: 5744: 5739: 5732: 5727: 5723: 5709: 5708:ordered basis 5705: 5699: 5695: 5684: 5681: 5678: 5675: 5673: 5670: 5668: 5665: 5664: 5658: 5656: 5652: 5648: 5632: 5627: 5624: 5620: 5616: 5605: 5596: 5592: 5588: 5584: 5580: 5576: 5572: 5567: 5557: 5545: 5519: 5511: 5506: 5503: 5486: 5470: 5446: 5443: 5418: 5414: 5399: 5383: 5372: 5371: 5370: 5368: 5333: 5330: 5327: 5321: 5318: 5312: 5309: 5306: 5300: 5288: 5269: 5266: 5250: 5242: 5241: 5240: 5233: 5230: 5225: 5175: 5148: 5142: 5139: 5136: 5130: 5123: 5122: 5121: 5110: 5104: 5082: 5078: 5074: 5069: 5065: 5058: 5051:th column is 5025: 5021: 5017: 5014: 5011: 5006: 5002: 4985: 4979: 4966: 4963: 4960: 4957: 4934: 4931: 4928: 4922: 4916: 4893: 4890: 4887: 4881: 4875: 4865: 4861: 4857: 4852: 4846: 4842: 4834: 4830: 4826: 4825: 4824:bilinear form 4814: 4812: 4808: 4789: 4786: 4783: 4778: 4775: 4771: 4763: 4762: 4761: 4751: 4750:square matrix 4739: 4738:Endomorphisms 4733:Endomorphisms 4730: 4713: 4710: 4707: 4702: 4699: 4695: 4687: 4686: 4685: 4678: 4667: 4663: 4649: 4645: 4635: 4631: 4615:of dimension 4607:of dimension 4603: 4598: 4594: 4590: 4586: 4576: 4574: 4569: 4563: 4559: 4556: 4552: 4549: 4545: 4542: 4538: 4535: 4531: 4528: 4527: 4526: 4524: 4519: 4517: 4512: 4508: 4505: 4501: 4495: 4492: 4488: 4481: 4477: 4472: 4467: 4465: 4461: 4457: 4453: 4443: 4426: 4417: 4409: 4406: 4389: 4380: 4376: 4372: 4366: 4358: 4355: 4338: 4330: 4329: 4328: 4314: 4311: 4308: 4305: 4282: 4277: 4274: 4257: 4253: 4248: 4244: 4240: 4235: 4232: 4215: 4207: 4206: 4205: 4189: 4186: 4169: 4146: 4143: 4126: 4103: 4099: 4095: 4078: 4074: 4057: 4047: 4019: 3995: 3972: 3963: 3960: 3943: 3922: 3918: 3901: 3893: 3892: 3891: 3889: 3873: 3848: 3844: 3840: 3823: 3819: 3802: 3794: 3793: 3792: 3778: 3773: 3769: 3746: 3742: 3734: 3700: 3674: 3670: 3666: 3663: 3660: 3655: 3651: 3644: 3627: 3617: 3604: 3599: 3595: 3574: 3551: 3546: 3542: 3536: 3532: 3526: 3521: 3518: 3515: 3511: 3507: 3499: 3495: 3491: 3488: 3485: 3480: 3476: 3469: 3462: 3461: 3460: 3446: 3438: 3434: 3430: 3427: 3420: 3391: 3387: 3383: 3380: 3377: 3372: 3368: 3361: 3358: 3349: 3331: 3323: 3302: 3298: 3289: 3280: 3278: 3269: 3264: 3260: 3256: 3251: 3248: 3244: 3241:represents a 3240: 3212: 3207: 3203: 3197: 3193: 3189: 3184: 3180: 3174: 3170: 3166: 3164: 3151: 3147: 3140: 3134: 3131: 3128: 3123: 3119: 3112: 3106: 3103: 3100: 3092: 3088: 3084: 3076: 3072: 3065: 3059: 3056: 3053: 3048: 3044: 3037: 3031: 3028: 3020: 3016: 3012: 3010: 3000: 2996: 2989: 2986: 2983: 2978: 2974: 2970: 2967: 2964: 2961: 2956: 2952: 2945: 2940: 2936: 2929: 2926: 2923: 2918: 2914: 2910: 2907: 2904: 2901: 2896: 2892: 2885: 2883: 2876: 2872: 2866: 2862: 2858: 2853: 2849: 2843: 2839: 2827: 2826: 2825: 2808: 2805: 2802: 2799: 2794: 2790: 2786: 2783: 2780: 2777: 2772: 2768: 2764: 2759: 2755: 2744: 2741: 2738: 2733: 2729: 2725: 2722: 2719: 2716: 2711: 2707: 2703: 2698: 2694: 2686: 2685: 2684: 2667: 2662: 2654: 2650: 2640: 2636: 2629: 2621: 2615: 2612: 2609: 2604: 2601: 2598: 2591: 2588: 2585: 2582: 2577: 2574: 2571: 2565: 2560: 2555: 2547: 2543: 2533: 2529: 2522: 2513: 2512: 2511: 2510:then one has 2497: 2489: 2485: 2481: 2476: 2472: 2446: 2442: 2438: 2433: 2429: 2419: 2406: 2401: 2395: 2392: 2389: 2384: 2381: 2378: 2371: 2368: 2365: 2362: 2357: 2354: 2351: 2345: 2334: 2321: 2315: 2312: 2309: 2306: 2303: 2300: 2297: 2294: 2288: 2283: 2279: 2255: 2252: 2249: 2246: 2243: 2240: 2237: 2231: 2226: 2222: 2213: 2210:, one gets a 2205: 2189: 2183: 2180: 2177: 2171: 2166: 2162: 2138: 2135: 2132: 2126: 2121: 2117: 2108: 2092: 2087: 2073: 2070:Consider the 2063: 2048: 2043: 2039: 2033: 2029: 2023: 2018: 2015: 2012: 2008: 2003: 2000: 1973: 1968: 1964: 1959: 1953: 1949: 1943: 1940: 1937: 1933: 1927: 1922: 1919: 1916: 1912: 1907: 1901: 1896: 1893: 1890: 1886: 1882: 1880: 1871: 1865: 1861: 1855: 1852: 1849: 1845: 1839: 1834: 1831: 1828: 1824: 1818: 1814: 1809: 1803: 1798: 1795: 1792: 1788: 1784: 1782: 1772: 1768: 1762: 1758: 1752: 1747: 1744: 1741: 1737: 1733: 1731: 1726: 1715: 1714: 1713: 1711: 1707: 1693: 1676: 1641: 1569: 1560: 1557: 1545: 1544: 1543: 1526: 1523: 1520: 1517: 1514: 1511: 1508: 1505: 1494: 1490: 1484: 1481: 1478: 1474: 1468: 1463: 1460: 1457: 1453: 1449: 1444: 1440: 1432: 1431: 1430: 1428: 1423: 1398: 1393: 1389: 1383: 1379: 1373: 1368: 1365: 1362: 1358: 1354: 1349: 1345: 1339: 1335: 1329: 1324: 1321: 1318: 1314: 1310: 1307: 1300: 1299: 1298: 1284: 1267: 1241: 1237: 1233: 1230: 1227: 1222: 1218: 1194: 1177: 1156: 1131: 1127: 1123: 1120: 1117: 1112: 1108: 1084: 1081: 1078: 1075: 1066: 1053: 1036: 1028:to the basis 1001: 992: 984: 980: 942: 934:one has that 921: 913: 909: 905: 902: 899: 894: 890: 883: 866: 856: 842: 837: 833: 804: 799: 795: 776: 772: 763: 742: 739: 736: 731: 726: 723: 720: 716: 712: 707: 704: 697: 696: 695: 678: 673: 669: 663: 660: 657: 653: 647: 642: 639: 636: 632: 628: 623: 619: 611: 610: 609: 596: 579: 556: 553: 550: 546: 535: 531: 525: 521: 515: 510: 503: 482: 478: 474: 471: 468: 463: 459: 452: 435: 420: 417: 415: 414:basis vectors 411: 408:(also called 407: 391: 383: 290: 266: 263: 236: 235: 234: 232: 228: 223: 221: 209: 205: 198: 195:, which is a 194: 187: 183: 179: 178:ordered basis 175: 161: 150: 146: 142: 135: 120: 117: 109: 106:November 2017 98: 95: 91: 88: 84: 81: 77: 74: 70: 67: –  66: 62: 61:Find sources: 55: 51: 45: 44: 39:This article 37: 33: 28: 27: 22: 6199:Vector space 5980: 5931:Vector space 5820: 5796: 5772: 5765:Bibliography 5755:Nering (1970 5750: 5738: 5726: 5698: 5568: 5544:real numbers 5507: 5501: 5461: 5284: 5234: 5228: 5222:denotes the 5190: 5108: 5102: 4983: 4980: 4863: 4859: 4855: 4844: 4840: 4828: 4822: 4820: 4804: 4736: 4728: 4679: 4665: 4661: 4647: 4643: 4633: 4629: 4602:vector space 4596: 4592: 4588: 4582: 4570: 4567: 4520: 4513: 4506: 4503: 4499: 4493: 4490: 4486: 4479: 4475: 4468: 4449: 4441: 4297: 4048: 4010: 3865: 3733:endomorphism 3618: 3566: 3350: 3281: 3267: 3254: 3252: 3237:Normally, a 3236: 2823: 2682: 2420: 2335: 2211: 2069: 1992: 1709: 1708: 1584: 1541: 1426: 1424: 1413: 1067: 990: 857: 774: 770: 759: 693: 533: 529: 523: 519: 516: 426: 418: 409: 405: 305: 226: 224: 219: 182:vector space 171: 112: 103: 93: 86: 79: 72: 60: 48:Please help 43:verification 40: 6179:Multivector 6144:Determinant 6101:Dot product 5946:Linear span 5731:Anton (1987 5651:eigenvalues 5581:and of the 5047:th row and 4991:on a basis 4981:The matrix 4583:Consider a 4579:Linear maps 3344:th that is 3340:except the 3263:isomorphism 983:determinant 208:coordinates 174:mathematics 6304:Categories 6213:Direct sum 6048:Invertible 5951:Linear map 5801:, Boston: 5718:References 5595:orthogonal 5587:rigid body 5349:for every 5293:such that 5120:, one has 4585:linear map 4471:expression 3417:defines a 3290:, the set 3255:represents 3243:linear map 2683:That is, 2214:formed by 979:invertible 522:= 1, ..., 184:of finite 76:newspapers 6243:Numerical 6006:Transpose 5625:− 5367:symmetric 5224:transpose 5015:… 4961:∈ 4920:↦ 4879:↦ 4849:which is 4805:As every 4776:− 4700:− 4659:, and an 4573:manifolds 4407:− 4390:ϕ 4377:ψ 4356:− 4339:ϕ 4327:one has 4309:∈ 4275:− 4258:ϕ 4254:∘ 4245:ψ 4233:− 4216:ϕ 4187:− 4170:ϕ 4144:− 4127:ϕ 4100:ψ 4096:∘ 4079:ϕ 4058:ϕ 3961:− 3944:ϕ 3923:ϕ 3874:∘ 3845:ψ 3841:∘ 3824:ϕ 3803:ϕ 3743:ψ 3701:ϕ 3664:… 3575:ϕ 3512:∑ 3489:… 3470:ϕ 3444:→ 3431:: 3428:ϕ 3381:… 3135:⁡ 3107:⁡ 3101:− 3060:⁡ 3032:⁡ 2987:⁡ 2965:⁡ 2927:⁡ 2911:− 2905:⁡ 2803:⁡ 2781:⁡ 2742:⁡ 2726:− 2720:⁡ 2613:⁡ 2602:⁡ 2589:⁡ 2583:− 2575:⁡ 2393:⁡ 2382:⁡ 2369:⁡ 2363:− 2355:⁡ 2313:⁡ 2301:⁡ 2295:− 2253:⁡ 2241:⁡ 2212:new basis 2009:∑ 1913:∑ 1887:∑ 1825:∑ 1789:∑ 1738:∑ 1518:… 1502:for  1454:∑ 1359:∑ 1315:∑ 1297:that is 1231:… 1121:… 1079:∈ 903:… 633:∑ 597:: 472:… 186:dimension 6289:Category 6228:Subspace 6223:Quotient 6174:Bivector 6088:Bilinear 6030:Matrices 5905:Glossary 5833:76091646 5661:See also 5579:quadrics 5571:geometry 5518:diagonal 4858: : 4452:function 3886:denotes 3351:A basis 3271:, where 858:Setting 825:and the 787:and the 380:are the 231:matrices 197:sequence 5900:Outline 5583:inertia 5575:physics 5562:and of 5542:of the 5508:If the 4831:over a 4811:similar 4748:is the 4637:matrix 4600:from a 4464:applied 3890:), and 3866:(where 3322:-tuples 3317:of the 2204:rotates 2202:If one 2066:Example 760:be the 507:over a 404:is the 206:called 204:scalars 90:scholar 6184:Tensor 5996:Kernel 5926:Vector 5921:Scalar 5831:  5809:  5783:  5191:where 4851:linear 4456:domain 3239:matrix 1710:Proof: 1585:where 764:whose 762:matrix 92:  85:  78:  71:  63:  6053:Minor 6038:Block 5976:Basis 5825:Wiley 5777:Wiley 5704:tuple 5690:Notes 5585:of a 4833:field 4627:by a 4118:with 3409:of a 3324:is a 3288:field 3286:be a 3277:up to 3259:bases 1633:over 1169:over 571:over 509:field 180:of a 176:, an 97:JSTOR 83:books 6208:Dual 6063:Rank 5829:LCCN 5807:ISBN 5781:ISBN 5573:and 5353:and 5116:and 5106:and 4909:and 4684:is 4673:for 4655:for 4623:and 3619:Let 3459:by 3282:Let 2271:and 2154:and 2105:Its 1668:and 1607:and 1425:The 1207:and 1097:let 694:Let 517:For 427:Let 343:and 69:news 5550:or 5357:in 5235:If 4866:→ F 4847:→ F 4560:an 3761:of 3132:cos 3104:sin 3057:sin 3029:cos 2984:cos 2962:sin 2924:sin 2902:cos 2800:cos 2778:sin 2750:and 2739:sin 2717:cos 2610:cos 2599:sin 2586:sin 2572:cos 2390:cos 2379:sin 2366:sin 2352:cos 2310:cos 2298:sin 2250:sin 2238:cos 1993:As 977:is 199:of 172:In 52:by 6306:: 5827:, 5805:, 5779:, 5657:. 5564:–1 5554:. 5552:–1 5285:A 5232:. 4862:× 4843:× 4821:A 4677:. 4595:→ 4591:: 4553:a 4546:a 4539:a 4532:a 4489:= 4466:. 4450:A 3348:. 514:. 139:A 5881:e 5874:t 5867:v 5710:. 5633:. 5628:1 5621:P 5617:= 5611:T 5606:P 5560:1 5548:1 5529:R 5514:F 5502:B 5487:P 5483:B 5476:T 5471:P 5447:, 5444:P 5438:T 5432:B 5424:T 5419:P 5415:= 5409:T 5404:) 5400:P 5396:B 5389:T 5384:P 5380:( 5363:B 5359:V 5355:w 5351:v 5337:) 5334:v 5331:, 5328:w 5325:( 5322:B 5319:= 5316:) 5313:w 5310:, 5307:v 5304:( 5301:B 5291:B 5270:. 5267:P 5263:B 5256:T 5251:P 5237:P 5229:v 5207:T 5201:v 5176:, 5172:w 5167:B 5160:T 5154:v 5149:= 5146:) 5143:w 5140:, 5137:v 5134:( 5131:B 5118:w 5114:v 5109:w 5103:v 5088:) 5083:j 5079:v 5075:, 5070:i 5066:v 5062:( 5059:B 5049:j 5045:i 5031:) 5026:n 5022:v 5018:, 5012:, 5007:1 5003:v 4999:( 4989:B 4984:B 4967:. 4964:V 4958:w 4938:) 4935:v 4932:, 4929:w 4926:( 4923:B 4917:v 4897:) 4894:w 4891:, 4888:v 4885:( 4882:B 4876:v 4864:V 4860:V 4856:B 4845:V 4841:V 4836:F 4829:V 4790:. 4787:P 4784:M 4779:1 4772:P 4758:P 4754:V 4746:M 4742:V 4714:. 4711:Q 4708:M 4703:1 4696:P 4682:T 4675:W 4671:Q 4666:n 4664:× 4662:n 4657:V 4653:P 4648:m 4646:× 4644:m 4639:M 4634:n 4632:× 4630:m 4625:W 4621:V 4617:m 4613:V 4609:n 4605:W 4597:V 4593:W 4589:T 4564:, 4557:, 4550:, 4543:, 4536:, 4509:) 4507:y 4504:A 4502:( 4500:f 4494:y 4491:A 4487:x 4482:) 4480:x 4478:( 4476:f 4427:, 4424:) 4421:) 4418:v 4415:( 4410:1 4401:w 4398:e 4395:n 4386:( 4381:A 4373:= 4370:) 4367:v 4364:( 4359:1 4350:d 4347:l 4344:o 4315:, 4312:V 4306:v 4283:. 4278:1 4269:w 4266:e 4263:n 4249:A 4241:= 4236:1 4227:d 4224:l 4221:o 4190:1 4181:w 4178:e 4175:n 4147:1 4138:d 4135:l 4132:o 4104:A 4090:d 4087:l 4084:o 4075:= 4069:w 4066:e 4063:n 4031:w 4028:e 4025:n 4020:B 3996:. 3993:) 3990:) 3984:d 3981:l 3978:o 3973:B 3969:( 3964:1 3955:d 3952:l 3949:o 3940:( 3934:w 3931:e 3928:n 3919:= 3913:w 3910:e 3907:n 3902:B 3849:A 3835:d 3832:l 3829:o 3820:= 3814:w 3811:e 3808:n 3779:. 3774:n 3770:F 3747:A 3729:A 3712:d 3709:l 3706:o 3680:) 3675:n 3671:v 3667:, 3661:, 3656:1 3652:v 3648:( 3645:= 3639:d 3636:l 3633:o 3628:B 3605:. 3600:n 3596:F 3552:. 3547:i 3543:v 3537:i 3533:x 3527:n 3522:1 3519:= 3516:i 3508:= 3505:) 3500:n 3496:x 3492:, 3486:, 3481:1 3477:x 3473:( 3447:V 3439:n 3435:F 3415:V 3411:F 3397:) 3392:n 3388:v 3384:, 3378:, 3373:1 3369:v 3365:( 3362:= 3359:B 3346:1 3342:i 3338:0 3334:i 3326:F 3320:n 3303:n 3299:F 3284:F 3273:F 3268:F 3213:. 3208:2 3204:w 3198:2 3194:y 3190:+ 3185:1 3181:w 3175:1 3171:y 3167:= 3157:) 3152:2 3148:v 3144:) 3141:t 3138:( 3129:+ 3124:1 3120:v 3116:) 3113:t 3110:( 3098:( 3093:2 3089:y 3085:+ 3082:) 3077:2 3073:v 3069:) 3066:t 3063:( 3054:+ 3049:1 3045:v 3041:) 3038:t 3035:( 3026:( 3021:1 3017:y 3013:= 3001:2 2997:v 2993:) 2990:t 2979:2 2975:y 2971:+ 2968:t 2957:1 2953:y 2949:( 2946:+ 2941:1 2937:v 2933:) 2930:t 2919:2 2915:y 2908:t 2897:1 2893:y 2889:( 2886:= 2877:2 2873:v 2867:2 2863:x 2859:+ 2854:1 2850:v 2844:1 2840:x 2809:. 2806:t 2795:2 2791:y 2787:+ 2784:t 2773:1 2769:y 2765:= 2760:2 2756:x 2745:t 2734:2 2730:y 2723:t 2712:1 2708:y 2704:= 2699:1 2695:x 2668:. 2663:] 2655:2 2651:y 2641:1 2637:y 2630:[ 2622:] 2616:t 2605:t 2592:t 2578:t 2566:[ 2561:= 2556:] 2548:2 2544:x 2534:1 2530:x 2523:[ 2498:, 2495:) 2490:2 2486:x 2482:, 2477:1 2473:x 2469:( 2447:2 2443:y 2439:, 2434:1 2430:y 2407:. 2402:] 2396:t 2385:t 2372:t 2358:t 2346:[ 2322:. 2319:) 2316:t 2307:, 2304:t 2292:( 2289:= 2284:2 2280:w 2259:) 2256:t 2247:, 2244:t 2235:( 2232:= 2227:1 2223:w 2208:t 2190:. 2187:) 2184:1 2181:, 2178:0 2175:( 2172:= 2167:2 2163:v 2142:) 2139:0 2136:, 2133:1 2130:( 2127:= 2122:1 2118:v 2093:. 2088:2 2083:R 2049:, 2044:i 2040:v 2034:i 2030:x 2024:n 2019:1 2016:= 2013:i 2004:= 2001:z 1974:. 1969:i 1965:v 1960:) 1954:j 1950:y 1944:j 1941:, 1938:i 1934:a 1928:n 1923:1 1920:= 1917:j 1908:( 1902:n 1897:1 1894:= 1891:i 1883:= 1872:) 1866:i 1862:v 1856:j 1853:, 1850:i 1846:a 1840:n 1835:1 1832:= 1829:i 1819:j 1815:y 1810:( 1804:n 1799:1 1796:= 1793:j 1785:= 1773:j 1769:w 1763:j 1759:y 1753:n 1748:1 1745:= 1742:j 1734:= 1727:z 1694:, 1688:w 1685:e 1682:n 1677:B 1653:d 1650:l 1647:o 1642:B 1631:z 1616:y 1594:x 1570:, 1566:y 1561:A 1558:= 1554:x 1527:. 1524:n 1521:, 1515:, 1512:1 1509:= 1506:i 1495:j 1491:y 1485:j 1482:, 1479:i 1475:a 1469:n 1464:1 1461:= 1458:j 1450:= 1445:i 1441:x 1420:j 1416:i 1399:. 1394:j 1390:w 1384:j 1380:y 1374:n 1369:1 1366:= 1363:j 1355:= 1350:i 1346:v 1340:i 1336:x 1330:n 1325:1 1322:= 1319:i 1311:= 1308:z 1285:; 1279:w 1276:e 1273:n 1268:B 1247:) 1242:n 1238:y 1234:, 1228:, 1223:1 1219:y 1215:( 1195:, 1189:d 1186:l 1183:o 1178:B 1157:z 1137:) 1132:n 1128:x 1124:, 1118:, 1113:1 1109:x 1105:( 1085:, 1082:V 1076:z 1054:. 1048:w 1045:e 1042:n 1037:B 1013:d 1010:l 1007:o 1002:B 987:A 975:A 971:V 954:w 951:e 948:n 943:B 922:, 919:) 914:n 910:w 906:, 900:, 895:1 891:w 887:( 884:= 878:w 875:e 872:n 867:B 843:; 838:j 834:w 823:A 819:j 805:, 800:i 796:v 785:A 781:i 775:j 771:w 766:j 743:j 740:, 737:i 732:) 727:j 724:, 721:i 717:a 713:( 708:= 705:A 679:. 674:i 670:v 664:j 661:, 658:i 654:a 648:n 643:1 640:= 637:i 629:= 624:j 620:w 591:d 588:l 585:o 580:B 557:j 554:, 551:i 547:a 534:j 530:w 524:n 520:j 512:F 505:V 488:) 483:n 479:v 475:, 469:, 464:1 460:v 456:( 453:= 447:d 444:l 441:o 436:B 392:A 365:w 362:e 359:n 353:x 328:d 325:l 322:o 316:x 291:, 285:w 282:e 279:n 273:x 267:A 264:= 258:d 255:l 252:o 246:x 216:v 212:v 201:n 189:n 119:) 113:( 108:) 104:( 94:· 87:· 80:· 73:· 46:. 23:.

Index

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
field

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