Shallow water equations

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In mathematics, the Binomial Inverse Theorem is useful for expressing matrix inverses in different ways.

If A, U, B, V are matrices of sizes p×p, p×q, q×q, q×p, respectively, then

(𝐀+𝐔𝐁𝐕)1=𝐀1𝐀1𝐔𝐁(𝐁+𝐁𝐕𝐀1𝐔𝐁)1𝐁𝐕𝐀1

provided A and B + BVA−1UB are nonsingular. Note that if B is invertible, the two B terms flanking the quantity inverse in the right-hand side can be replaced with (B−1)−1, which results in

(𝐀+𝐔𝐁𝐕)1=𝐀1𝐀1𝐔(𝐁1+𝐕𝐀1𝐔)1𝐕𝐀1.

This is the matrix inversion lemma, which can also be derived using matrix blockwise inversion.

Verification

First notice that

(𝐀+𝐔𝐁𝐕)𝐀1𝐔𝐁=𝐔𝐁+𝐔𝐁𝐕𝐀1𝐔𝐁=𝐔(𝐁+𝐁𝐕𝐀1𝐔𝐁).

Now multiply the matrix we wish to invert by its alleged inverse

(𝐀+𝐔𝐁𝐕)(𝐀1𝐀1𝐔𝐁(𝐁+𝐁𝐕𝐀1𝐔𝐁)1𝐁𝐕𝐀1)
=𝐈p+𝐔𝐁𝐕𝐀1𝐔(𝐁+𝐁𝐕𝐀1𝐔𝐁)(𝐁+𝐁𝐕𝐀1𝐔𝐁)1𝐁𝐕𝐀1
=𝐈p+𝐔𝐁𝐕𝐀1𝐔𝐁𝐕𝐀1=𝐈p

which verifies that it is the inverse.

So we get that—if A−1 and (𝐁+𝐁𝐕𝐀1𝐔𝐁)1 exist, then (𝐀+𝐔𝐁𝐕)1 exists and is given by the theorem above.[1]

Special cases

If p = q and U = V = Ip is the identity matrix, then

(𝐀+𝐁)1=𝐀1𝐀1𝐁(𝐁+𝐁𝐀1𝐁)1𝐁𝐀1.

Remembering the identity

(𝐀𝐁)1=𝐁1𝐀1.

we can also express the previous equation in the simpler form as

(𝐀+𝐁)1=𝐀1𝐀1(𝐈+𝐁𝐀1)1𝐁𝐀1.

If B = Iq is the identity matrix and q = 1, then U is a column vector, written u, and V is a row vector, written vT. Then the theorem implies

(𝐀+𝐮𝐯T)1=𝐀1𝐀1𝐮𝐯T𝐀11+𝐯T𝐀1𝐮.

This is useful if one has a matrix A with a known inverse A−1 and one needs to invert matrices of the form A+uvT quickly.

If we set A = Ip and B = Iq, we get

(𝐈p+𝐔𝐕)1=𝐈p𝐔(𝐈q+𝐕𝐔)1𝐕.

In particular, if q = 1, then

(𝐈+𝐮𝐯T)1=𝐈𝐮𝐯T1+𝐯T𝐮.

See also

References

  1. 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

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