Research article

Sturm's Theorem for Min matrices

  • Received: 17 February 2023 Revised: 29 April 2023 Accepted: 11 May 2023 Published: 18 May 2023
  • MSC : 15A18, 15B99

  • In the present paper, we study Min matrix $ \mathcal{A}_{min} = \left[a_{min\left(i, j\right)}\right]_{i, j = 1}^n $, where $ a_s $'s are the elements of a real sequence $ \left\lbrace a_s\right\rbrace $. We first obtain a recurrence relation for the characteristic polynomial for matrix $ \mathcal{A}_{min} $, and some relations between the coefficients of its characteristic polynomial. Next, we show that the sequence of the characteristic polynomials of the $ i \times i \left(i \leq n\right) $ Min matrices satisfies the Sturm sequence properties according to different required conditions of the sequence $ \left\lbrace a_s\right\rbrace $. Using Sturm's Theorem, we get some results about the eigenvalues, such as the number of eigenvalues in an interval. Thus, we obtain the number of positive and negative eigenvalues of Min matrix $ \mathcal{A}_{min} $. Finally, we give an example to illustrate our results.

    Citation: Efruz Özlem Mersin. Sturm's Theorem for Min matrices[J]. AIMS Mathematics, 2023, 8(7): 17229-17245. doi: 10.3934/math.2023880

    Related Papers:

  • In the present paper, we study Min matrix $ \mathcal{A}_{min} = \left[a_{min\left(i, j\right)}\right]_{i, j = 1}^n $, where $ a_s $'s are the elements of a real sequence $ \left\lbrace a_s\right\rbrace $. We first obtain a recurrence relation for the characteristic polynomial for matrix $ \mathcal{A}_{min} $, and some relations between the coefficients of its characteristic polynomial. Next, we show that the sequence of the characteristic polynomials of the $ i \times i \left(i \leq n\right) $ Min matrices satisfies the Sturm sequence properties according to different required conditions of the sequence $ \left\lbrace a_s\right\rbrace $. Using Sturm's Theorem, we get some results about the eigenvalues, such as the number of eigenvalues in an interval. Thus, we obtain the number of positive and negative eigenvalues of Min matrix $ \mathcal{A}_{min} $. Finally, we give an example to illustrate our results.



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