scholarly journals Factorization of Noncommutative Polynomials and Nullstellensätze for the Free Algebra

Author(s):  
J Helton ◽  
Igor Klep ◽  
Jurij Volčič

Abstract This article gives a class of Nullstellensätze for noncommutative polynomials. The singularity set of a noncommutative polynomial $f=f(x_1,\dots ,x_g)$ is $\mathscr{Z}(\,f)=(\mathscr{Z}_n(\,f))_n$, where $\mathscr{Z}_n(\,f)=\{X \in{\operatorname{M}}_{n}({\mathbb{C}})^g \colon \det f(X) = 0\}.$ The 1st main theorem of this article shows that the irreducible factors of $f$ are in a natural bijective correspondence with irreducible components of $\mathscr{Z}_n(\,f)$ for every sufficiently large $n$. With each polynomial $h$ in $x$ and $x^*$ one also associates its real singularity set $\mathscr{Z}^{{\operatorname{re}}}(h)=\{X\colon \det h(X,X^*)=0\}$. A polynomial $f$ that depends on $x$ alone (no $x^*$ variables) will be called analytic. The main Nullstellensatz proved here is as follows: for analytic $f$ but for $h$ dependent on possibly both $x$ and $x^*$, the containment $\mathscr{Z}(\,f) \subseteq \mathscr{Z}^{{\operatorname{re}}} (h)$ is equivalent to each factor of $f$ being “stably associated” to a factor of $h$ or of $h^*$. For perspective, classical Hilbert-type Nullstellensätze typically apply only to analytic polynomials $f,h $, while real Nullstellensätze typically require adjusting the functions by sums of squares of polynomials (sos). Since the above “algebraic certificate” does not involve a sos, it seems justified to think of this as the natural determinantal Hilbert Nullstellensatz. An earlier paper of the authors (Adv. Math. 331 (2018): 589–626) obtained such a theorem for special classes of analytic polynomials $f$ and $h$. This paper requires few hypotheses and hopefully brings this type of Nullstellensatz to near final form. Finally, the paper gives a Nullstellensatz for zeros ${\mathcal{V}}(\,f)=\{X\colon f(X,X^*)=0\}$ of a hermitian polynomial $f$, leading to a strong Positivstellensatz for quadratic free semialgebraic sets by the use of a slack variable.

Author(s):  
Carlos I. Pérez-Sánchez

AbstractRandom noncommutative geometry can be seen as a Euclidean path-integral quantization approach to the theory defined by the Spectral Action in noncommutative geometry (NCG). With the aim of investigating phase transitions in random NCG of arbitrary dimension, we study the nonperturbative Functional Renormalization Group for multimatrix models whose action consists of noncommutative polynomials in Hermitian and anti-Hermitian matrices. Such structure is dictated by the Spectral Action for the Dirac operator in Barrett’s spectral triple formulation of fuzzy spaces. The present mathematically rigorous treatment puts forward “coordinate-free” language that might be useful also elsewhere, all the more so because our approach holds for general multimatrix models. The toolkit is a noncommutative calculus on the free algebra that allows to describe the generator of the renormalization group flow—a noncommutative Laplacian introduced here—in terms of Voiculescu’s cyclic gradient and Rota–Sagan–Stein noncommutative derivative. We explore the algebraic structure of the Functional Renormalization Group equation and, as an application of this formalism, we find the $$\beta $$ β -functions, identify the fixed points in the large-N limit and obtain the critical exponents of two-dimensional geometries in two different signatures.


1999 ◽  
Vol 14 (29) ◽  
pp. 4653-4685 ◽  
Author(s):  
M. B. HALPERN ◽  
C. SCHWARTZ

We find an infinite-dimensional free algebra which lives at large N in any SU (N)-invariant action or Hamiltonian theory of bosonic matrices. The natural basis of this algebra is a free-algebraic generalization of Chebyshev polynomials and the dual basis is closely related to the planar connected parts. This leads to a number of free-algebraic forms of the master field including an algebraic derivation of the Gopakumar–Gross form. For action theories, these forms of the master field immediately give a number of new free-algebraic packagings of the planar Schwinger–Dyson equations.


2015 ◽  
Vol 30 ◽  
Author(s):  
J. Cimpric ◽  
J Helton ◽  
S. McCullough ◽  
C. Nelson

For a fixed tuple of square matrices X ={X_1,...,X_g} the set I(X) of all noncommutative polynomials p in X and X∗ such that p(X) = 0 is an ideal in the ∗-algebra of all polynomials. This article concerns such zeroes and their corresponding ideals. An algebraic characterization of ideals of the form I(X) is a real nullstellensatz. A main result of this article is a strong nullstellensatz for a ∗-ideal of finite codimension in a ∗-algebra. Without the finite codimension assumption, there are examples of such ideals which do not satisfy, very liberally interpreted, any Nullstellensatz. A polynomial p in noncommuting variables (x_1,...,x_g,x∗_1,...,x_∗g) is called analytic if it is a polynomial in the variables x_j only. As shown in this article, ∗-ideals generated by analytic polyno-mials do satisfy a natural Nullstellensatz and those generated by homogeneous analytic polynomials have a particularly simple description. Another natural notion of zero of a noncommutative polynomial p is a pair (X, v) such that p(X)v = 0; here X is an n by n matrix tuple and v ∈ R^n. For fixed (X,v), the set of all such polynomials is a left ideal. The relationship between such zeroes and their left ideals is considerably more developed than is our beginning effort here. This article provides a guide to that literature.


2019 ◽  
Author(s):  
Colin Vize ◽  
Katherine Collison ◽  
Donald Lynam ◽  
Josh Miller

Objective: Partialing procedures are frequently used in psychological research. The present study sought to further explore the consequences of partialing, focusing on the replicability of partialing-based results. Method: We used popular measures of the Dark Triad (DT; Machiavellianism, narcissism, and psychopathy) to explore the replicability of partialing procedures. We examined whether the residual content of popular DT scales are similar to the residual content of DT scales derived from separate samples based on relations with individual items from the IPIP-NEO-120, allowing for a fine-grained analysis of residual variable content. Results: Profiles were compared using three sample sizes (Small N=156-157, Moderate N = 313-314, Large N = 627-628) randomly drawn from a large MTurk sample (N = 1,255). There was low convergence among original/residual DT scales within samples. Additionally, results showed the content of residual Dirty Dozen scales was not similar across samples. Similar results were found for Short Dark Triad-Machiavellianism, but only in the moderate and small samples. Conclusion: The results indicate that there are important issues that arise when using partialing procedures, including replicability issues surrounding residual variables. Reasons for the observed results are discussed and further research examining the replicability of residual-based results is recommended.


2020 ◽  
Author(s):  
Robert N Collins ◽  
David R. Mandel ◽  
Sarah S. Schywiola

Research suggests political identity has strong influence over individuals’ attitudes and beliefs, which in turn can affect their behavior. Likewise, firsthand experience with an issue can also affect attitudes and beliefs. A large (N = 10,362) survey (Pew Research and Ipsos W64) of Americans was analyzed to investigate the effects of both political identity and personal impact on individuals’ reactions to the COVID-19 pandemic. Results show that political identity (i.e., Democrat or Republican) and personal impact (i.e., personally affected or not) influenced different aspects of the American public’s reaction to COVID-19. Political identity exerted a strong influence on self-reports of emotional distress, threat perception, discomfort with exposure, support for restrictions, and perception of under/overreaction by individuals and institutions. Personal impact exerted a comparatively weaker influence on reported emotional distress and threat perception. Both factors had a weak influence on appraisal of individual and organizational and community responses. The dominating influence of political identity carried over into the bivariate relations among these responses. In particular, the appraisal of organizational response divided along party lines, tied to opposing views of whether there has been over- or under-reaction to the pandemic. The dominance of political identity has important implications for crisis management and reflects the influence of normative value differences between the parties, partisan messaging on the pandemic, and polarization in American politics.


2020 ◽  
Author(s):  
Jonathan Sanching Tsay ◽  
Alan S. Lee ◽  
Guy Avraham ◽  
Darius E. Parvin ◽  
Jeremy Ho ◽  
...  

Motor learning experiments are typically run in-person, exploiting finely calibrated setups (digitizing tablets, robotic manipulandum, full VR displays) that provide high temporal and spatial resolution. However, these experiments come at a cost, not limited to the one-time expense of purchasing equipment but also the substantial time devoted to recruiting participants and administering the experiment. Moreover, exceptional circumstances that limit in-person testing, such as a global pandemic, may halt research progress. These limitations of in-person motor learning research have motivated the design of OnPoint, an open-source software package for motor control and motor learning researchers. As with all online studies, OnPoint offers an opportunity to conduct large-N motor learning studies, with potential applications to do faster pilot testing, replicate previous findings, and conduct longitudinal studies (GitHub repository: https://github.com/alan-s-lee/OnPoint).


2020 ◽  
Author(s):  
Terrell A Hicks ◽  
Daniel Bustamante ◽  
Kaitlin E Bountress ◽  
Amy Adkins ◽  
Dace S Svikis ◽  
...  

Objective: To examine the prevalence and correlates of lifetime cannabis use (i.e., experimental [use 1-5 times] and non-experimental [use ≥ 6 times]) in relation to demographics, interpersonal trauma (IPT), and alcohol and nicotine use.Participants: A large (n = 9,889) representative sample of college students at an urban college campus in the southeastern part of the United States.Methods: Participants were 4 cohorts of first-year college students who completed measures of demographic variables, cannabis, alcohol, nicotine, and IPT. Associations were estimated using multinomial logistic regressions.Results: The prevalence of lifetime cannabis use was 45.5%. Specifically, 28.1% reported non-experimental cannabis use and 17.4% reported experimental cannabis use. Race, cohort, nicotine, and IPT were associated with experimental and non-experimental cannabis use. Additionally, alcohol and sex were associated with non-experimental cannabis use.Conclusions: Results show that cannabis use is prevalent among college students and is associated with race, IPT, and other substance use.


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