矩阵知识对于数学的各个分支都是必不可少的。矩阵是数学中最强大的工具之一。现在,请参阅本文中矩阵的功能之一。
转置矩阵
这是矩阵的主要属性之一。转置的意思是交换两个或多个事物的位置。在矩阵的情况下,转置含义会更改元素的索引。在这种情况下,我们将行元素与列元素交换,反之亦然。
设A是大小为m×n的矩阵,A t 是矩阵A的转置
其中A的[a(ij)] = A t的[a(ji)],这里1≤i≤m和1≤j≤n
例子:
设矩阵A的大小为2×3 ,
所以,
转置A或
转置后变为3×2
转置属性
矩阵乘积的转置
该属性表示, (AB) t = B t A t
证明
Here A and B are two matrices of size m × n and n × p respectively
and At and Bt are their transpose form of size n × m and p × n respectively (from the product rule of matrices).
It implies, if A = [a(ij)], and At = [c(ji)]
Then, [c(ji)] = [a(ij)]
and,
If B = [b(jk)], and Bt = [d(kj)]
Then, [d(kj)] = [b(jk)]
Now, from the product rule of matrices we can write,
AB is m × p matrix and (AB)t is p × m matrix.
Also, Bt is a p × n matrix and At is a n × m matrix.
This implies that,
(Bt)(At) is a p × m matrix.
Therefore,
(AB)t and (Bt)(At) are both p × m matrices.
Now we can write,
(k, i)th element of (AB)t = (i, k)th element of AB
(k, i)th element of (Bt)(At)
Therefore,
the elements of (AB)t and (Bt)(At) are equal.
Therefore,
(AB)t = (Bt)(At)
例子:
让,
和
因此证明对于这些矩阵,(AB) t =(B t )(A t )
解决方案:
Here A and B are 2 × 3 and 3 × 2 matrices respectively. So, by product rule of a matrix, we can find their product
and the final matrices would be of 2 × 2 matrix.
Find L.H.S –
Now,
So, Transpose of AB or
Find R.H.S –
and
So,
Therefore,
(AB)t = Bt.At
矩阵加法的转置
该属性表示(A + B) t = A t + B t
证明:
Here A and B are two matrices of size m × n
Let, A = [a(ij)] and B = [b(ij)] of size m × n.
So, (A + B) is also an m × n matrix
Also, At and Bt are n × m matrices.
So that, the Transpose of (A + B) or (A + B)t is an n × m matrix.
Now we can say, At + Bt is also an n × m matrix.
Now, from the transpose rule,(j, i)th element of (A + B)t = (i, j)th element of (A + B)
= (i, j)th element of A + (i, j)th element of B= (j, i)th element of At + (j, i)th element of Bt= (j, i)th element of(At + Bt)
Therefore,
(A + B)t = At + Bt
例子:
让,
和
证明对于这些矩阵,(A + B) t = A t + B t
解决方案:
Find L.H.S,
So,
Find R.H.S
and,
Now,
Therefore,
(A + B)t = At + Bt