Cassius Dio's speeches and the collapse of the Roman Republic

This thesis argues that Cassius Dio used his speeches of his Late Republican and Augustan narratives as a means of historical explanation. I suggest that the interpretative framework which the historian applied to the causes and success of constitutional change can be most clearly identified in the speeches. The discussion is divided into eight chapters over two sections. Chapter 1 (Introduction) sets out the historical, paideutic, and compositional issues which have traditionally served as a basis for rejecting the explanatory and interpretative value of the speeches in Dio’s work and for criticising his Roman History more generally. Section 1 consists of three methodological chapters which respond to these issues. In Chapter 2 (Speeches and Sources) I argue that Dio’s prosopopoeiai approximate more closely with the political oratory of that period than has traditionally been recognised. Chapter 3 (Dio and the Sophistic) argues that Cassius Dio viewed the artifice of rhetoric as a particular danger in his own time. I demonstrate that this preoccupation informed, credibly, his presentation of political oratory in the Late Republic and of its destructive consequences. Chapter 4 (Dio and the Progymnasmata) argues that although the texts of the progymnasmata in which Dio will have been educated clearly encouraged invention with a strongly moralising focus, it is precisely his reliance on these aspects of rhetorical education which would have rendered his interpretations persuasive to a contemporary audience. Section 2 is formed of three case-studies. In Chapter 5 (The Defence of the Republic) I explore how Dio placed speeches-in-character at three Republican constitutional crises to set out an imagined case for the preservation of that system. This case, I argue, is deliberately unconvincing: the historian uses these to elaborate the problems of the distribution of power and the noxious influence of φθόνος and φιλοτιμία. Chapter 6 (The Enemies of the Republic) examines the explanatory role of Dio’s speeches from the opposite perspective. It investigates Dio’s placement of dishonest speech into the mouths of military figures to make his own distinctive argument about the role of imperialism in the fragmentation of the res publica. Chapter 7 (Speech after the Settlement) argues that Cassius Dio used his three speeches of the Augustan age to demonstrate how a distinctive combination of Augustan virtues directly counteracted the negative aspects of Republican political and rhetorical culture which the previous two case-studies had explored. Indeed, in Dio’s account of Augustus the failures of the res publica are reinvented as positive forces which work in concert with Augustan ἀρετή to secure beneficial constitutional change.

A principal component approach to space-based gravitational wave astronomy

The current approach to data analysis for the Laser Interferometry Space Antenna (LISA) depends on the time delay interferometry observables (TDI) which have to be generated before any weak signal detection can be performed. These are linear combinations of the raw data with appropriate time shifts that lead to the cancellation of the laser frequency noises. This is possible because of the multiple occurrences of the same noises in the different raw data. Originally, these observables were manually generated starting with LISA as a simple stationary array and then adjusted to incorporate the antenna's motions. However, none of the observables survived the flexing of the arms in that they did not lead to cancellation with the same structure. The principal component approach is another way of handling these noises that was presented by Romano and Woan which simplified the data analysis by removing the need to create them before the analysis. This method also depends on the multiple occurrences of the same noises but, instead of using them for cancellation, it takes advantage of the correlations that they produce between the different readings. These correlations can be expressed in a noise (data) covariance matrix which occurs in the Bayesian likelihood function when the noises are assumed be Gaussian. Romano and Woan showed that performing an eigendecomposition of this matrix produced two distinct sets of eigenvalues that can be distinguished by the absence of laser frequency noise from one set. The transformation of the raw data using the corresponding eigenvectors also produced data that was free from the laser frequency noises. This result led to the idea that the principal components may actually be time delay interferometry observables since they produced the same outcome, that is, data that are free from laser frequency noise. The aims here were (i) to investigate the connection between the principal components and these observables, (ii) to prove that the data analysis using them is equivalent to that using the traditional observables and (ii) to determine how this method adapts to real LISA especially the flexing of the antenna. For testing the connection between the principal components and the TDI observables a 10x 10 covariance matrix containing integer values was used in order to obtain an algebraic solution for the eigendecomposition. The matrix was generated using fixed unequal arm lengths and stationary noises with equal variances for each noise type. Results confirm that all four Sagnac observables can be generated from the eigenvectors of the principal components. The observables obtained from this method however, are tied to the length of the data and are not general expressions like the traditional observables, for example, the Sagnac observables for two different time stamps were generated from different sets of eigenvectors. It was also possible to generate the frequency domain optimal AET observables from the principal components obtained from the power spectral density matrix. These results indicate that this method is another way of producing the observables therefore analysis using principal components should give the same results as that using the traditional observables. This was proven by fact that the same relative likelihoods (within 0.3%) were obtained from the Bayesian estimates of the signal amplitude of a simple sinusoidal gravitational wave using the principal components and the optimal AET observables. This method fails if the eigenvalues that are free from laser frequency noises are not generated. These are obtained from the covariance matrix and the properties of LISA that are required for its computation are the phase-locking, arm lengths and noise variances. Preliminary results of the effects of these properties on the principal components indicate that only the absence of phase-locking prevented their production. The flexing of the antenna results in time varying arm lengths which will appear in the covariance matrix and, from our toy model investigations, this did not prevent the occurrence of the principal components. The difficulty with flexing, and also non-stationary noises, is that the Toeplitz structure of the matrix will be destroyed which will affect any computation methods that take advantage of this structure. In terms of separating the two sets of data for the analysis, this was not necessary because the laser frequency noises are very large compared to the photodetector noises which resulted in a significant reduction in the data containing them after the matrix inversion. In the frequency domain the power spectral density matrices were block diagonals which simplified the computation of the eigenvalues by allowing them to be done separately for each block. The results in general showed a lack of principal components in the absence of phase-locking except for the zero bin. The major difference with the power spectral density matrix is that the time varying arm lengths and non-stationarity do not show up because of the summation in the Fourier transform.