<p>Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\widetilde{\operatorname {pe}}(\lambda )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mover accent="true"> <mo>pe</mo> <mo stretchy="false">~</mo> </mover> <mrow> <mo stretchy="false">(</mo> <mi>λ</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> be the restricted parity excess, which is the number of different odd parts minus the number of different even parts in the partition <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\lambda \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>λ</mi> </math></EquationSource> </InlineEquation>. We define a random variable <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(X_n\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>X</mi> <mi>n</mi> </msub> </math></EquationSource> </InlineEquation> which takes value <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\widetilde{\operatorname {pe}}(\lambda )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mover accent="true"> <mo>pe</mo> <mo stretchy="false">~</mo> </mover> <mrow> <mo stretchy="false">(</mo> <mi>λ</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> while we choose <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\lambda \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>λ</mi> </math></EquationSource> </InlineEquation> uniformly at random from the set of partitions of <i>n</i>. Then, we show that <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(X_n\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>X</mi> <mi>n</mi> </msub> </math></EquationSource> </InlineEquation> is asymptotically normally distributed.</p>

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On the distribution of a restricted parity excess

  • Byungchan Kim,
  • Eunmi Kim

摘要

Let \(\widetilde{\operatorname {pe}}(\lambda )\) pe ~ ( λ ) be the restricted parity excess, which is the number of different odd parts minus the number of different even parts in the partition \(\lambda \) λ . We define a random variable \(X_n\) X n which takes value \(\widetilde{\operatorname {pe}}(\lambda )\) pe ~ ( λ ) while we choose \(\lambda \) λ uniformly at random from the set of partitions of n. Then, we show that \(X_n\) X n is asymptotically normally distributed.