# Inverses and Transpose and permutations

### Transpose <a href="#transpose" id="transpose"></a>

![](/files/-LevxysOwZ3MOpG39RBV)

Example:

![](/files/-LevyVjSots-jASs3B47)

For symmetric matrices, A^T = A, so they are unaffected by transposes.&#x20;

Also R transpose x R is always symetric.&#x20;

![](/files/-LevygbME8roe7FA1KNo)

Why? Well let's take the transpose and see if they are the same. (R^T R)^T = R^T x R^TT = R^T x R

Also

![](blob:https://app.gitbook.com/e864b8e6-5bf9-4084-945e-04abc22dab0e)

Brilliant.org:

### Transpose a matrix

![](/files/-LeYY5eTCWeRXcrg5a_2)

Exercise

![](/files/-LeYfJbxXkNGOr_oQFTp)

![](/files/-LeYfO3R-xfwNf1-1yvT)

### Permutations <a href="#transpose" id="transpose"></a>

Permutations P execute row exchanges. P is the identity matrix with reordered rows.&#x20;

When you want to make row operations, multiply on the left hand side:

![](/files/-Lesiwq8f4PvhXv_G3_4)

When you want to do column operations, multiply on the right:&#x20;

![](/files/-LeskA4enYUBvtldogS_)

**3x3 Permutations**

All the ways I can take the identity matrix and rearrange its rows. For 3x3 matrices there are 6 total permutation matrices. for nxn matrices, there will be n! permutation matrices. Also the inverses are the transposes : P-1 = P T or P T P = I (P transpose x P = Identity matrix).&#x20;

![](/files/-Levrjlp5LJ6mhExr_QF)

The first one changes row 1 and 2, the 2nd changes row 1 and 3. The 4th is a cycle, it puts row 2 in row 1 and row 3 in row 1.&#x20;

The description of elimination WITH row exchanges is PA = LU for any invertable A.&#x20;

![](/files/-Levwh1JowhNSAdbh1Lh)

Brilliant.org:


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