<p>Let <i>G</i> be a graph with <i>n</i> vertices and <i>m</i> edges. The spectral radius <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\rho (G)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> of <i>G</i> is the largest eigenvalue of the adjacency matrix of <i>G</i>. It is well-known that <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\rho (G)\ge \frac{2m}{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mrow> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> <mo>≥</mo> <mfrac> <mrow> <mn>2</mn> <mi>m</mi> </mrow> <mi>n</mi> </mfrac> </mrow> </math></EquationSource> </InlineEquation> with equality if and only if <i>G</i> is regular. To bound <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\rho (G)-\frac{2m}{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mrow> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> <mo>-</mo> <mfrac> <mrow> <mn>2</mn> <mi>m</mi> </mrow> <mi>n</mi> </mfrac> </mrow> </math></EquationSource> </InlineEquation>, Nikiforov (2006) introduced the degree deviation of <i>G</i> as <Equation ID="Equ2"> <EquationSource Format="TEX">\(\begin{aligned} s(G)=\sum _{1\le i\le n}\left| d_{i}-\frac{2\,m}{n}\right| , \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <mi>s</mi> <mrow> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <munder> <mo>∑</mo> <mrow> <mn>1</mn> <mo>≤</mo> <mi>i</mi> <mo>≤</mo> <mi>n</mi> </mrow> </munder> <mfenced close="|" open="|"> <msub> <mi>d</mi> <mi>i</mi> </msub> <mo>-</mo> <mfrac> <mrow> <mn>2</mn> <mspace width="0.166667em" /> <mi>m</mi> </mrow> <mi>n</mi> </mfrac> </mfenced> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>where <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(d_{1},d_{2},\ldots ,d_{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>d</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>d</mi> <mn>2</mn> </msub> <mo>,</mo> <mo>…</mo> <mo>,</mo> <msub> <mi>d</mi> <mi>n</mi> </msub> </mrow> </math></EquationSource> </InlineEquation> are the degrees of the vertices of <i>G</i>. Nikiforov conjectured that <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\rho (G)-\frac{2m}{n}\le \sqrt{\frac{1}{2}s(G)}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mrow> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> <mo>-</mo> <mfrac> <mrow> <mn>2</mn> <mi>m</mi> </mrow> <mi>n</mi> </mfrac> <mo>≤</mo> <msqrt> <mrow> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <mi>s</mi> <mrow> <mo stretchy="false">(</mo> <mi>G</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </msqrt> </mrow> </math></EquationSource> </InlineEquation> for sufficiently large <i>m</i> and <i>n</i>. In this paper, we settle this conjecture without the assumption that <i>m</i> and <i>n</i> are large.</p>

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A tight upper bound on the spectral radius in terms of degree deviation

  • Wenqian Zhang

摘要

Let G be a graph with n vertices and m edges. The spectral radius \(\rho (G)\) ρ ( G ) of G is the largest eigenvalue of the adjacency matrix of G. It is well-known that \(\rho (G)\ge \frac{2m}{n}\) ρ ( G ) 2 m n with equality if and only if G is regular. To bound \(\rho (G)-\frac{2m}{n}\) ρ ( G ) - 2 m n , Nikiforov (2006) introduced the degree deviation of G as \(\begin{aligned} s(G)=\sum _{1\le i\le n}\left| d_{i}-\frac{2\,m}{n}\right| , \end{aligned}\) s ( G ) = 1 i n d i - 2 m n , where \(d_{1},d_{2},\ldots ,d_{n}\) d 1 , d 2 , , d n are the degrees of the vertices of G. Nikiforov conjectured that \(\rho (G)-\frac{2m}{n}\le \sqrt{\frac{1}{2}s(G)}\) ρ ( G ) - 2 m n 1 2 s ( G ) for sufficiently large m and n. In this paper, we settle this conjecture without the assumption that m and n are large.