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Class 12Algebra5:21Published 3 Jul 2024

Proofs on Symmetric and Skew-Symmetric Matrices

Three board-style proofs about symmetric and skew-symmetric matrices, using the transpose properties of matrix products.

This lesson works through three standard proofs from the class 12 matrices chapter. It shows that the product B-transpose A B stays symmetric when A is symmetric, becomes skew-symmetric when A is skew-symmetric, and that AB minus BA is always skew-symmetric when A and B are both symmetric. Each result follows from the rule that the transpose of a product reverses the order of the factors.

What you'll learn

  • How to use the rule that the transpose of a product reverses the order of the factors
  • Why B-transpose A B keeps the symmetry or skew-symmetry of A
  • Why the difference of two symmetric matrices, AB minus BA, is always skew-symmetric

Lesson chapters

0:00Proof: B-transpose A B is symmetric when A is symmetric
1:42Proof: B-transpose A B is skew-symmetric when A is skew-symmetric
3:17Proof: AB minus BA is skew-symmetric for symmetric A and B

Lesson notes

This lesson works through three short proofs about symmetric and skew-symmetric matrices. Each one rests on one key property of the transpose: the transpose of a product reverses the order of the factors, so (XY)T=YTXT(XY)^{\mathsf T} = Y^{\mathsf T} X^{\mathsf T}.

Recall: the transpose of a product

For any matrices whose product is defined,

(XY)T=YTXT,(XYZ)T=ZTYTXT.(XY)^{\mathsf T} = Y^{\mathsf T} X^{\mathsf T}, \qquad (XYZ)^{\mathsf T} = Z^{\mathsf T} Y^{\mathsf T} X^{\mathsf T}.

Also recall that AA is symmetric when AT=AA^{\mathsf T} = A, and skew-symmetric when AT=AA^{\mathsf T} = -A.

Proof 1: BTABB^{\mathsf T} A B is symmetric when AA is symmetric

Given that AA is symmetric, so AT=AA^{\mathsf T} = A. Take the transpose of BTABB^{\mathsf T} A B and reverse the order of the factors:

(BTAB)T=BTAT(BT)T=BTATB.\left(B^{\mathsf T} A B\right)^{\mathsf T} = B^{\mathsf T} A^{\mathsf T} \left(B^{\mathsf T}\right)^{\mathsf T} = B^{\mathsf T} A^{\mathsf T} B.

Since AT=AA^{\mathsf T} = A, this becomes

(BTAB)T=BTAB.\left(B^{\mathsf T} A B\right)^{\mathsf T} = B^{\mathsf T} A B.

The matrix equals its own transpose, so BTABB^{\mathsf T} A B is symmetric.

Proof 2: BTABB^{\mathsf T} A B is skew-symmetric when AA is skew-symmetric

Now AA is skew-symmetric, so AT=AA^{\mathsf T} = -A. The same expansion gives

(BTAB)T=BTATB.\left(B^{\mathsf T} A B\right)^{\mathsf T} = B^{\mathsf T} A^{\mathsf T} B.

Replacing ATA^{\mathsf T} with A-A,

(BTAB)T=BT(A)B=BTAB.\left(B^{\mathsf T} A B\right)^{\mathsf T} = B^{\mathsf T} (-A) B = -\,B^{\mathsf T} A B.

The transpose equals the negative of the matrix, so BTABB^{\mathsf T} A B is skew-symmetric.

Proof 3: ABBAAB - BA is skew-symmetric when AA and BB are symmetric

Given that both AA and BB are symmetric, so AT=AA^{\mathsf T} = A and BT=BB^{\mathsf T} = B. Transpose the difference term by term:

(ABBA)T=(AB)T(BA)T=BTATATBT.(AB - BA)^{\mathsf T} = (AB)^{\mathsf T} - (BA)^{\mathsf T} = B^{\mathsf T} A^{\mathsf T} - A^{\mathsf T} B^{\mathsf T}.

Using AT=AA^{\mathsf T} = A and BT=BB^{\mathsf T} = B,

(ABBA)T=BAAB=(ABBA).(AB - BA)^{\mathsf T} = BA - AB = -(AB - BA).

The transpose is the negative of the original, so ABBAAB - BA is skew-symmetric.

Key takeaways

  • The transpose of a product reverses the order of the factors, which is the engine behind every proof here.
  • BTABB^{\mathsf T} A B inherits the symmetry of AA: it is symmetric when AA is symmetric and skew-symmetric when AA is skew-symmetric.
  • For symmetric AA and BB, the commutator-style difference ABBAAB - BA is always skew-symmetric.