The columns of the standard matrix for a linear transformation from [img=22x19]1803b6a8c19a71a.png[/img]to [img=25x19]1803b6a8c9f3863.png[/img] are the images of the columns of the [img=44x19]1803b6a8d3fc1b1.png[/img] indentity matrix.
举一反三
- Not every linear transformation from [img=22x19]1803b6a8affc14b.png[/img]to [img=25x19]1803b6a8b9210ff.png[/img]is a matrix transformation.
- If P is an[img=44x19]1803b6aa96e88c4.png[/img] matrix with orthogonal columns, then[img=72x23]1803b6aa9ec8a8d.png[/img]
- Let A be a 4×4 matrix, the determinant of A is 1/3, and [img=21x20]1803c4e4937ebc3.png[/img] the adjoint matrix of A, then [img=115x27]1803c4e49b725a2.png[/img]=________. A: 1 B: 3 C: 6 D: 9
- Let [img=99x19]1803c4e7d6c70bb.png[/img] be a linear transformation. If A is the standard matrix representation of [img=13x19]1803c4e7de70caa.png[/img], then an [img=44x19]1803c4e7e5f3add.png[/img] matrix B will also be a matrix representation of L if and only if B is similar to A.
- 设随机变量X服从b(2,p)分布,随机变量Y服从b(3,p)分布。若[img=90x41]17e441ea7c518a0.png[/img] 则[img=63x26]17e441ea85da5ea.png[/img]= A: 8/27 B: 4/9 C: 19/27 D: 5/9