Utilizing a new method to structure parallellotopes, a geometrical interpretation of the inverse matrix is given, which includes the generalized inverse of full column rank or a full row rank matrices. Further, some relational volume formulas of parallellotopes are established.
Hinweise
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.
1 Introduction and notations
Let \(\mathbb{R}^{n}\) denote an n-dimensional real Euclidean vector space, for a nonzero \(n\times1\) vector \(x\in{\mathbb{R}^{n}}\), the generalized inverse of x, denoted by \(x^{+}\), has the geometrical interpretation that \(x^{T}\) is divided by \(\|x\|^{2}\), that is, \(x^{+}=x^{T}/\|x\|^{2}\), where \(x^{T}\) is the transpose of x (see [1]). A natural question is whether a similar geometrical interpretation holds for the inverse of a matrix.
In this paper, using a new method to structure a m-dimensional parallellotope, the geometrical interpretation of the inverse matrix and the generalized inverse of a matrix with full column rank or full row rank are given.
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Let \({[z_{1},z_{2},\ldots,z_{m}]}\) be the m-dimensional parallellotope with m linearly independent vectors \(z_{1},z_{2},\ldots,z_{m}\) as its edge vectors, i.e.,
\({[z_{1},\ldots,z_{i-1},z_{i+1},\ldots,z_{m}]}\) denotes the facets of the m-parallellotope \({[z_{1},z_{2},\ldots,z_{m}]}\) for an \((m-1)\)-hyperplane,
\(z_{i}\) is the altitude vector on facet \({[z_{1},\ldots,z_{i-1},z_{i+1},\ldots,z_{m}]}\) (see [2, 3]) with the orthogonal component of \(z_{i}\) with respect to \(\mathcal{H}_{i}\). If \({[z_{1},z_{2},\ldots,z_{m}]^{*}}\) denotes the m-parallellotope constructed by m linearly independent vectors \(z_{1},z_{2},\ldots,z_{m}\) as its altitude vectors, then we will show that there exist \(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}\), exclusive such that
IfMis a matrix with full row (column) rank and\(z_{1},z_{2},\ldots,z_{m}\)is its row (column) vectors, then the right (left) inverse of the matrixMis the matrix whose column (row) vectors are
where\(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}\)aremedge vectors of them-parallellotope\([z_{1},z_{2},\ldots,z_{m}]^{*}\).
Corollary 2.2
IfMis nonsingular\(n\times n\)matrix and\(z_{1},z_{2},\ldots,z_{n}\)is its row (column) vectors, then the inverse of the matrixMis the matrix whose column (row) vectors are
where\(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{n}\)arenedge vectors of then-parallellotope\({[z_{1},z_{2},\ldots,z_{n}]^{*}}\).
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We may say roughly if the \([z_{1},z_{2},\ldots,z_{m}]\) (\(z_{1},z_{2},\ldots,z_{m}\) as edge vectors) is the geometrical interpretation of the matrix M, then \([z_{1},z_{2},\ldots,z_{m}]^{*}\) (\(z_{1},z_{2},\ldots,z_{m}\) as altitude vectors) is one of the \(M^{-1}\).
We list some basic facts to state the following theorems.
We write \(L(i)\), for the linear subspace spanned by \(z_{1},z_{2},\ldots,z_{i}, z_{i}\in\mathbb{R}^{n}\) (\(1\leq i\leq n\)). Let \(\hat{\langle z,L\rangle}\) be the angle between vector z and linear subspace L, where if \(z\notin L\), then \(\hat{\langle z,L\rangle}\) is the angle between z and the orthogonal projection of z on L, denoted by \(z|_{L}\), i.e., \(z|_{L}=((L^{\bot}+x)\cap L)\). If \(z\in L\), then \(\hat{\langle z,L\rangle}=0\).
Theorem 2.3
Suppose\(y_{1},y_{2},\ldots,y_{n}\)arenrow vectors of the matrixM, and\(z_{1},z_{2},\ldots,z_{n}\)are column vectors of the matrix\(M^{-1}\),
if\({\langle\hat{y_{i},L}(i-1)\rangle}\rightarrow0\), then there isk (\(1\leq k\leq n\)) such that\(\|z_{k}\|\rightarrow+\infty\).
Theorem 2.3 will be required in the study of matrix disturbances (see [4‐6]).
Utilizing the geometrical interpretation of the inverse matrix, we have the following relational volume formulas of parallellotopes for the \(n\times n\) real matrices \(M,N\).
Theorem 2.4
Let\([z_{1},z_{2},\ldots,z_{n}]^{**}\)be the parallellotope structured by the edge vectors of\([z_{1},z_{2},\ldots,z_{n}]^{*}\)as altitude vectors. Then
where\(\operatorname{vol}([z_{1},\ldots,z_{n}])\)denotes the volume of the parallellotope\([z_{1},\ldots,z_{n}]\).
The proofs of the theorems will be given in Section 3.
3 Proofs of the theorems
Given m linearly independent vectors \(z_{1},z_{2},\ldots,z_{m}\) in \({\mathbb{R}^{n}}\), if we structure an m-parallellotope \([z_{1},z_{2},\ldots,z_{m}]\) by them as edge vectors, then \([z_{1},z_{2},\ldots,z_{m}]\) has m linearly independent altitude vectors. Conversely, for any given m linearly independent vectors \(z_{1},z_{2},\ldots,z_{m}\), can we structure an m-parallellotope by them as m altitude vectors? The following lemma gives an affirmative answer.
Lemma 3.1
If\(\{z_{1},z_{2},\ldots,z_{m}\} \) (\(m\geq2\)) is a given set of linearly independent vectors in\(\mathbb{R}^{n}\), then there is anm-parallellotope\([z_{1},z_{2},\ldots,z_{m}]^{*}\)whosemaltitude vectors are\(z_{1},z_{2},\ldots,z_{m}\).
Proof
If \(z_{1},z_{2},\ldots,z_{m}\) are linearly independent, then we have m linear functionals \(g_{1},g_{2},\ldots, g_{m}\) such that
we have \(\alpha_{i}=0,i=1,2,\ldots,m\). This shows that \(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}\) are linearly independent.
Now, we prove that \(z_{1},z_{2},\ldots,z_{m}\) are altitude vectors of the m-parallellotope \([z^{*}_{1},z^{*}_{2},\ldots, z^{*}_{m}]\) (the edge vectors of \([z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}]\) are \(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}\)).
Suppose that \([z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{i-1},z^{*}_{i+1},\ldots,z^{*}_{m}]\) are the facets of \({[z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{m}]}\). From \(z_{i}\bot z^{*}_{j} \) (\(j\neq i\)), we have
Thus, the matrix N is the inverse of the matrix M, and the column vectors \(d_{1},d_{2},\ldots,d_{m}\) of the matrix N are the edge vectors of \({[z_{1},z_{2},\ldots,z_{m}]^{*}}\) divided by \(\|z_{1}\|^{2},\|z_{2}\|^{2},\ldots,\|z_{m}\|^{2}\), respectively.
Together with Theorem 2.1 and taking M for an \(n\times n\) matrix with full rank, we have Corollary 2.2.
Here, we will complete the proof of Theorem 2.3. The following lemma will be required. □
Lemma 3.2
For\(L(i)\)the linear subspace spanned by\(z_{1},z_{2},\ldots,z_{i}, i=1,2,\ldots,m\) (≤n), if\(\operatorname{vol}({[z_{1},z_{2},\ldots,z_{m}]})\)is the volume of the parallellotope\({[z_{1},z_{2},\ldots,z_{m}]}\) (see [7]), we have
Assume that \(h_{i},p_{i}\) are the orthogonal component and orthogonal projection of \(z_{i}\) with respect to \(L(i-1)\), respectively \((i=2,\ldots ,m,h_{1}=z_{1},p_{1}=0)\). Since \(\|z_{i}\|\cos{\langle \hat{z_{i},p_{i}}\rangle}=\|p_{i}\|\), we have
and the definition of the volume of parallellotopes, the equality (2.1) holds.
Assume that \(\{z^{**}_{1},z^{**}_{2},\ldots,z^{**}_{n}\}\) is a set of the edge vectors of \({[z_{1},z_{2},\ldots,z_{n}]^{**}}\). Together with Theorem 2.1, we get
Taking together (2.1) and (3.11), the equality (2.2) holds. □
For \(\{z_{1},z_{2},\ldots,z_{n}\}\), from Lemma 3.1, \({[z_{1},z_{2},\ldots,z_{n}]^{*}}\) is structured by them as altitude vectors. Denote \({[z_{1},z_{2},\ldots,z_{n}]^{*}}\) by \(z^{*}_{1},z^{*}_{2},\ldots,z^{*}_{n}\).
Thus Theorem 2.4 denotes the relationship of volumes about \({[z_{1},z_{2},\ldots,z_{n}]}\), \({[z_{1},z_{2},\ldots,z_{n}]^{*}}\), and \({[z_{1},z_{2},\ldots,z_{n}]^{**}}\).
By (3.13), we can see that \({[z_{1},z_{2},\ldots,z_{n}]^{**}}\) and \({[z_{1},z_{2},\ldots,z_{n}]}\) are two parallellotopes and their edge vectors are of the same direction.
Acknowledgements
The authors would like to acknowledge the support from the National Natural Science Foundation of China (11371239).
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Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.